Parameters Influencing the Sizing of Rainwater Tanks for Use in Houses

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国际自动化与计算杂志.英文版.

国际自动化与计算杂志.英文版.

国际自动化与计算杂志.英文版.1.Improved Exponential Stability Criteria for Uncertain Neutral System with Nonlinear Parameter PerturbationsFang Qiu,Ban-Tong Cui2.Robust Active Suspension Design Subject to Vehicle Inertial Parameter VariationsHai-Ping Du,Nong Zhang3.Delay-dependent Non-fragile H∞ Filtering for Uncertain Fuzzy Systems Based on Switching Fuzzy Model and Piecewise Lyapunov FunctionZhi-Le Xia,Jun-Min Li,Jiang-Rong Li4.Observer-based Adaptive Iterative Learning Control for Nonlinear Systems with Time-varying DelaysWei-Sheng Chen,Rui-Hong Li,Jing Li5.H∞ Output Feedback Control for Stochastic Systems with Mode-dependent Time-varying Delays and Markovian Jump ParametersXu-Dong Zhao,Qing-Shuang Zeng6.Delay and Its Time-derivative Dependent Robust Stability of Uncertain Neutral Systems with Saturating ActuatorsFatima El Haoussi,El Houssaine Tissir7.Parallel Fuzzy P+Fuzzy I+Fuzzy D Controller:Design and Performance EvaluationVineet Kumar,A.P.Mittal8.Observers for Descriptor Systems with Slope-restricted NonlinearitiesLin-Na Zhou,Chun-Yu Yang,Qing-Ling Zhang9.Parameterized Solution to a Class of Sylvester MatrixEquationsYu-Peng Qiao,Hong-Sheng Qi,Dai-Zhan Cheng10.Indirect Adaptive Fuzzy and Impulsive Control of Nonlinear SystemsHai-Bo Jiang11.Robust Fuzzy Tracking Control for Nonlinear Networked Control Systems with Integral Quadratic ConstraintsZhi-Sheng Chen,Yong He,Min Wu12.A Power-and Coverage-aware Clustering Scheme for Wireless Sensor NetworksLiang Xue,Xin-Ping Guan,Zhi-Xin Liu,Qing-Chao Zheng13.Guaranteed Cost Active Fault-tolerant Control of Networked Control System with Packet Dropout and Transmission DelayXiao-Yuan Luo,Mei-Jie Shang,Cai-Lian Chen,Xin-Ping Guanparison of Two Novel MRAS Based Strategies for Identifying Parameters in Permanent Magnet Synchronous MotorsKan Liu,Qiao Zhang,Zi-Qiang Zhu,Jing Zhang,An-Wen Shen,Paul Stewart15.Modeling and Analysis of Scheduling for Distributed Real-time Embedded SystemsHai-Tao Zhang,Gui-Fang Wu16.Passive Steganalysis Based on Higher Order Image Statistics of Curvelet TransformS.Geetha,Siva S.Sivatha Sindhu,N.Kamaraj17.Movement Invariants-based Algorithm for Medical Image Tilt CorrectionMei-Sen Pan,Jing-Tian Tang,Xiao-Li Yang18.Target Tracking and Obstacle Avoidance for Multi-agent SystemsJing Yan,Xin-Ping Guan,Fu-Xiao Tan19.Automatic Generation of Optimally Rigid Formations Using Decentralized MethodsRui Ren,Yu-Yan Zhang,Xiao-Yuan Luo,Shao-Bao Li20.Semi-blind Adaptive Beamforming for High-throughput Quadrature Amplitude Modulation SystemsSheng Chen,Wang Yao,Lajos Hanzo21.Throughput Analysis of IEEE 802.11 Multirate WLANs with Collision Aware Rate Adaptation AlgorithmDhanasekaran Senthilkumar,A. 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Ahson,Rafat Parveen1.State of the Art and Emerging Trends in Operations and Maintenance of Offshore Oil and Gas Production Facilities: Some Experiences and ObservationsJayantha P.Liyanage2.Statistical Safety Analysis of Maintenance Management Process of Excavator UnitsLjubisa Papic,Milorad Pantelic,Joseph Aronov,Ajit Kumar Verma3.Improving Energy and Power Efficiency Using NComputing and Approaches for Predicting Reliability of Complex Computing SystemsHoang Pham,Hoang Pham Jr.4.Running Temperature and Mechanical Stability of Grease as Maintenance Parameters of Railway BearingsJan Lundberg,Aditya Parida,Peter S(o)derholm5.Subsea Maintenance Service Delivery: Mapping Factors Influencing Scheduled Service DurationEfosa Emmanuel Uyiomendo,Tore Markeset6.A Systemic Approach to Integrated E-maintenance of Large Engineering PlantsAjit Kumar Verma,A.Srividya,P.G.Ramesh7.Authentication and Access Control in RFID Based Logistics-customs Clearance Service PlatformHui-Fang Deng,Wen Deng,Han Li,Hong-Ji Yang8.Evolutionary Trajectory Planning for an Industrial RobotR.Saravanan,S.Ramabalan,C.Balamurugan,A.Subash9.Improved Exponential Stability Criteria for Recurrent Neural Networks with Time-varying Discrete and Distributed DelaysYuan-Yuan Wu,Tao Li,Yu-Qiang Wu10.An Improved Approach to Delay-dependent Robust Stabilization for Uncertain Singular Time-delay SystemsXin Sun,Qing-Ling Zhang,Chun-Yu Yang,Zhan Su,Yong-Yun Shao11.Robust Stability of Nonlinear Plants with a Non-symmetric Prandtl-Ishlinskii Hysteresis ModelChang-An Jiang,Ming-Cong Deng,Akira Inoue12.Stability Analysis of Discrete-time Systems with Additive Time-varying DelaysXian-Ming Tang,Jin-Shou Yu13.Delay-dependent Stability Analysis for Markovian Jump Systems with Interval Time-varying-delaysXu-Dong Zhao,Qing-Shuang Zeng14.H∞ Synchronization of Chaotic Systems via Delayed Feedback ControlLi Sheng,Hui-Zhong Yang15.Adaptive Fuzzy Observer Backstepping Control for a Class of Uncertain Nonlinear Systems with Unknown Time-delayShao-Cheng Tong,Ning Sheng16.Simulation-based Optimal Design of α-β-γ-δ FilterChun-Mu Wu,Paul P.Lin,Zhen-Yu Han,Shu-Rong Li17.Independent Cycle Time Assignment for Min-max SystemsWen-De Chen,Yue-Gang Tao,Hong-Nian Yu1.An Assessment Tool for Land Reuse with Artificial Intelligence MethodDieter D. 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水利工程环境影响评价毕业论文英文文献翻译

水利工程环境影响评价毕业论文英文文献翻译

英语原文:Methods and procedures for EIAEIA is the strategic for the active environmental management of basin development and the construction items. For water resources and power development, during basin-wide planning and feasibility study stage of projects environmental impact assessment should be prepared. Forbasin-wide planning document a chapter on environmental impacts assessment is necessary while for feasibility study of projects the environmental impact statement should be prepared.1 purposes of the assessmentThe purpose of EIA is to assess the environmental effects due to river basin development playing or proposed hydroelectric project .For the purpose of rationally utilizing natural resources, protecting the environment, improving environmental quality, and maintaining the ecological balance, the optimum plan can be screened out through the comparison of the technical, economical and environmental indices of the alternative plans of the project. Besides, the corresponding mitigation measures for the adverse effects and the improvement measures for the beneficial effects should be put forwards during various stages, such as planning, design, construction, and management. The work of EIA is very important, as EIA (s) is the fundamental document for decision making and policy arrangement for the project. The development of EIA makes it possible to changethe work of environmental protection from a status of passive control into a status of active prevention In addition, the most important point is that through the work of EIA the project could develop more comprehensive benefits and eliminate the adverse effect.2 The classification of the assessmentAccording to the temporal and spatial dimensions the environmental impact assessment can be classified into two categories. From temporal dimension it can be further classified as the retrospective environmental impact assessment for exiting projects, the present environmental impact assessment for project under construction and the prospective environmental impact assessment for projects under planning. Generally speaking, the environmental impact assessment refers almost all to the prospective EIA. From spatial dimension it can be classified as assessment for individual project, for a system of projects, and even for all the projects included in the river basin planning. The depth of work for environmental assessment should be compatible with stage of planning and design. In the river basin planning stage, the environmental assessment should be made for the whole basin, and a preliminary suggestion for mitigation measures of the adverse effects should be proposed. If necessary, reports on special topics should be provided for significant impacts. In the feasibility study stage, the environmental assessment for each of important parameters and comprehensive chapter of environmental protection should beprovided o give a detailed description for demonstration the environmental effect of project and implementing the mitigation and improvement measures for the adverse effects,. In technical design stage, an additional study should be made for the remaining key problems. In the stage of construction, the environmental prot6ection planning and the practicing schedule for the construction area and the reservoir region should be included.3 Methods and proceduresIn practice, methods are closely interconnected with procedures. According to the process of EIA. The methods used can be divided into two categories. One is for assessing the environmental change and impact of each individual parameter, and the other is for assessing the impact of the whole project. After assessment, appropriate mitigation measures can be established, and comprehensive indices and indicators for the whole project can be derived so as to facilitate the comparison of alternative project designs. The assessment procedures consist of five main steps:Impact identification, impact prediction, impact evaluation, mitigation and protective measures, and monitoring programs. Among the five steps the impact identification, impact prediction and impact evaluation are most important. For each step there are different methods and considerations.Impact identificationThe steps taken to identify environmental parameters likely to have impacts are as follows:? Understanding the characteristics of the project, such as backwater curve, change of hydraulic and hydrological regime (such as change of discharge and silt distribution).? Selection of an existing similar project and carrying out retrospective environmental assessment for reference.? Investigation and description of the status of the existing environmental setting and base line.? Use of checklists of interaction matrices for impact identification. ? Proposing the parameters with likely impacts or the unknown parameters for further impact prediction.The purposes of this are to identify the significant environmental modification, and to estimate the probability that the impact will occur. Impact prediction begins with quality identification, then simple methods are used for quantification and finally multi-factor modeling is used for detailed quantification. Some of the methods might be classified as follows:1 Mathematical modeling of empirical formula (such as the reservoir and so on).2 Investigation and measurement (such as through investigation of the scope of distribution of terrestrial flora and fauna within the inundated zone to predict the impact on them, the same method is used for prediction of the impact on historic and archaeological sites).3 An alysis of the effects of changes in the hydraulic and hydrological regime (such as through the study of change of flow and silt patterns to predict the areas influenced or affected by flood, water-logging and salinity downstream, or through the change of habitats of flora and fauna to predict the future condition of the different species).4 Analogy or comparison with existing projects (such as the use of comparison to identify the change in water temperature qualitatively).Impact evaluation1. Environmental impact of each individual environmental parameter. One mustinvestigate the change in environmental quality, propose the remedial measures for adverse effects, calculate the relationship between benefits and costs, and see whether the environmental change is beneficial and acceptable. The methods consist of: ? A comparison of environmental indices or indications between the situations with and without the project.? Establishing the value function graphs for each individual parameter and seeing whether the environmental quality is improved or not (0-10 can be used to show the degree of the environmental quality, where 0 that indicates the environment quality is the worst, and 10 the best).? Proposing remedial measures for adverse effects and calculating costs. ? Reassessing the environment quality after the remedialmeasure is taken. ? Estimating the differences in adverse effect between the situations with and without mitigation measures.? Calaculating the benefits of measures? Anaktzing the relationship between benefits and costs, to see whether the impact on the parameter is acceptable, and to see effectiveness of measures. Comprehensive assessment of the project The purpose of comprehensive assessment is to evaluate the index of impact of the whole project to compare all the options and to select the optimum plan. Cost- benefit and adverse effects of the project are calculated to conclusion for every project. Methods of environmental evaluation system, multi-criteria analysis or cost-benefit analysis might be used. Just like ad hoc methods, checklists, matrices, overlays, networks, cost-benefit analysis, simulation modeling, and system analysis, etc. The superiorities and deficiencies of all the main can be assessed by six indices. The procedures for basin environmental impact assessment are same as those for a water resources project, but the methods are not so perfect now. A method is based on the quantified indices of environmental impacts, subject to satisfying of the multipurpose of development as its constraints and the minimum of total adverse impact (as people displaced) as objectives, by the dynamic programming technique and the matrixapproach etc., to layout the plan and determine the scale of each water project. For example, Dongjiang River Basin (in Guandong Province) planning, the weighted region controlling approach and keyelements controlling approach have been used for fuzzy assessment. Another approach used by individual organization is: ? Considering all projects or components of components of the whole basin as a unit or several suitable units to assess the whole environmental impacts on the upper part (above the lowest cascade) of the basin.? Computing the total indices of the conjunctive operation of all projects of the basin such as the changing of hydrologic and sedimentation regime, etc. to assess the whole environmental impacts on the middle, lower reaches, and the estuary. ? Preparing the EIA of single key project or its coordination with other projects in order to prevent the negation of the key project by environmental impacts to influence the feasibility of the whole plan. Research of the important points for EIA 1 Levels of the environmental systems.The environment is a complicated system. For EIA the totality of environment should be divided into several levels of sub-systems. Usually under the totality of environment it is divided into four levels of sysrt4ema, namely environmental categories, environmental components, environmental parameters, and environmental measurements. In China the environmental categories are further classified as natural environment and social environment. Under the item of natural environment it is again subdivided into many environmental components such as local climate of reservoir area, which again consists of the environmental parameters such as precipitation. Wind and fog as their sublevel. For evaluation of thechange of precipitation many values of environmental measurements such as internal moisture, external moisture, and their relationships to precipitations are utilized. 2 Geographic study areasThe area affected by a project is determined on the scale, character, and location of the project. In addition to the regions directly affected by the project, effects on certain neighboring regions, on the whole basin, on a neighboring basin, and even on the estuary should be considered. The affected area is not the same for each plan and for each environmental factor, but the affected areas for all alternative plans should be coordinated. In other words, the area of study should include the whole area affected as well as some additional area for putting the effects into perspective. In the case of a water quality parameter, such as temperature, the area affects into perspective. In the area and the reaches downstream, where the temperature of the water is estimated to change at least 1.0 .3 Time frame for comparisonsIn a planning investigation, the time frame for making comparisons of environmental effects should be the same as the time frame for makingeconomic evaluations. Ordinarily, projections are made based on the future with and without project conditions for the time levels of under construction, completion and in operation (25 years after completion).外文译文:水利工程环境影响评价环境影响评价是评价由于人类的活动(如兴建大坝工程等)所引起的环境改变及其影响,它是区域开发和建谈项目环境管理的一种战略防御手段。

动力学参数辨识英文

动力学参数辨识英文

动力学参数辨识英文Dynamics Parameter Identification.Dynamics parameter identification is a crucial processin various engineering applications, ranging from aerospace engineering to civil engineering. It involves theestimation of unknown parameters in dynamic systems basedon experimental data or system observations. These parameters are essential for understanding the behavior of the system and predicting its response to external excitations.The process of dynamics parameter identificationtypically involves several steps, including data collection, model development, parameter estimation, and validation. Each step requires careful consideration and may involve complex mathematical techniques and computational algorithms.1. Data Collection.The first step in dynamics parameter identification is to collect relevant data from the system. This data can be obtained through experiments, simulations, or real-time monitoring of the system's behavior. The quality and quantity of data collected directly impact the accuracy and reliability of the parameter identification results. Therefore, it is crucial to ensure that the data is representative of the system's dynamics and covers a wide range of operating conditions.2. Model Development.Once the data is collected, the next step is to develop a mathematical model that describes the system's dynamics. This model should capture the essential features of the system and be capable of predicting its response to external excitations. The model may be a simple linear model or a complex nonlinear model, depending on the nature of the system and the level of detail required for parameter identification.3. Parameter Estimation.The next step is to estimate the unknown parameters in the developed model using the collected data. This step involves solving a set of equations or optimization problems to find the parameter values that best fit the observed data. Various estimation techniques can be employed, including least squares methods, maximum likelihood estimation, and Bayesian inference. The choice of estimation technique depends on the nature of the model, the type of data available, and the desired accuracy of the parameter estimates.4. Validation.After estimating the parameters, it is crucial to validate the identified model against the original data or additional experimental data. This validation step helps assess the accuracy and reliability of the identified parameters and ensures that the model can indeed predict the system's behavior. If the validation results are satisfactory, the identified parameters can be used forfurther analysis, design, or control of the system.Challenges and Considerations in Dynamics Parameter Identification.Dynamics parameter identification, while a crucial process, also faces several challenges and considerations.1. Noise and Uncertainty.Real-world data often contains noise and uncertainty, which can affect the accuracy of parameter estimation. To address these issues, it is necessary to employ robust estimation techniques that can handle noisy and uncertain data effectively. This may involve the use of regularization techniques, noise models, or advanced optimization algorithms.2. Model Complexity.The complexity of the system model can significantly affect the parameter identification process. Simple modelsmay not capture all the essential features of the system, leading to inaccurate parameter estimates. On the other hand, overly complex models can make the estimation process computationally intractable. Therefore, it is crucial to strike a balance between model complexity and accuracy.3. Experimental Design.The design of experiments for data collection is also crucial for successful parameter identification. The experiments should be designed to excite the system in a way that allows for accurate estimation of the parameters. This may involve careful consideration of the excitation signals, measurement setup, and operating conditions.4. Identification of Multiple Parameters.In some cases, there may be multiple unknown parameters in the system model. Estimating these parameters simultaneously can be a challenging task, as it may require solving highly nonlinear and coupled equations. Advanced estimation techniques, such as multi-objective optimizationor genetic algorithms, may be required to handle such complex estimation problems.Conclusion.Dynamics parameter identification is a fundamental task in engineering analysis and design. It involves estimating unknown parameters in dynamic systems based on experimental data or system observations. The process involves data collection, model development, parameter estimation, and validation. Successful parameter identification requires careful consideration of various challenges and considerations, such as noise and uncertainty, model complexity, experimental design, and identification of multiple parameters. By addressing these challenges and employing appropriate estimation techniques, engineers can obtain accurate and reliable parameter estimates that support effective system analysis, design, and control.。

旅游管理英文文献

旅游管理英文文献

1. The need for a new quality approach in tourismThe quality of tourist services offered by each supplier is the result of joining twocomponents: quantity, which is rather of material nature as it is repr e-sented by equipmentand facilities, such as food, scenery, working met h-ods; and quality, which is mainlybehaviouristicThe material component is influencing the quality of the tourist services through thedemand for comfort, functionality, aesthetic s, as well as ergonomics qualities of theequipment provided by certain units. One of the most important fa c-tors influencing thesedemands is the level of technicality, which determines the level of comfort and servicequality. The higher the technicality, the better the service, as they offer heating and phonicisolation, different room facilities, such as reliable installations, which lead both to lowermaintenance expenses and fewer complaints.The implementation of the electronic database has positive effects on the quality of service,as a result of eliminating bureaucracy, which facilitates the correct management of theclient account and the fast billing. Thus, it is also ea s-ier to optimise the system of datatransfer that allows the calculation of the specific i n-dexes. This increases the quality ofservice and gives staff more time for the relation with the customer. Even if the initialinvestment is higher, the ben efits are visible on a long term.Another important element of quality is represented by sizing and organising differentspaces that must include aspects concerning the offer flexibility, in order to be able toprovide complementary services such as the organisation of congresses and conferences, aswell as other events.The business card of a unit is represented by the i n-terior decorations, “the atmosphere”created by decoration, the colours, the intensity and colour of lights, the thermal comfort(air temperature and humidity), air freshness and indoor sound system, elements thatcomplete the product [4].However, the most important quality component is thestaff behaviour within the hotel,which is usually neglected, as the company is mostly concerned with employing thenecessary qualified number of employees to know and apply standards and workingprocedures.The effects of professional behaviour are directly connected to the quality of service andhow it is perceived by the client. Unlike the material components we have discussed before,the effects of the professional behaviour are unpredictable and almost irreversible. They aredirectly related to the number, the structure and the level of training and motivation of thestaff.That is why staff recruitment must take into account that beside pr o-fessional training andgeneral background knowledge, employe rs must seek to iden-tify personal behaviour andattitude qualities in the future employee, such as: charisma, vocation for tourism,availability and learning abilities, sociability, empathy and other el e-ments which will reflectthe quality of services and the level of satisfaction of the clients [7]. Therefore, a client oriented professional behaviour may contribute to a better assessment ofthe quality of service rather than exposing material luxury and in some cases, an adequateprofessional behaviour may compensate for certain material deficie n-cies.In this context the present classification based on stars is no longer responding to thedemands of the client, whose expectations with respect to the quality of services areprecise.The methodological norms regarding the classification of the acco m-modation units consistsof an administrative system of classification, that takes into consideration only thearchitectural features of the building, the level of facilities, equipment and inventory objectsas well as the minimum services that must be offered by an accomm o-dation unit accordingto its classification, [9] without emphasising the most i m-portant quality element like thestaff attitude for example.This administrative system of classification used by all countries, was found inconvenientto the new requirements. In this respect, some countries started reco n-sidering and changingthe classification standards stressing on the quality of services esp e-cially on the hotel staffand its behaviour.This approach is necessary due to the present economic crisis that led to an obviousdecrease in the number of tourists, who shal l mainly turn to suppliers who provide the bestquality-price warranted balance.In the case of Romania, which has a diverse tourist potential, with authentic components,the change from facility standards to service quality standards would be an element ofdifferentiation and it would increase the competition of the Romanian tourist product. Thishas also been demonstrated by international research studies that consider Romania aninteresting tourist destination.2. Quality standards and systems in the hospitality industryBoth in Romania and in other countries with tourist tradition the service quality assuranceis accomplished in two ways: according to the different types of sta nd-ards and according tothe quality management systems. Moreover, standards include: norms shaped by officialorganisations of different countries such as the standards of category classification (stars),occupational and other standards including facility, procedure, management, which aremostly created by hotel chains, especially those from 1991, since the first procedure oftourist star classification settled by The Ministry of Tourism and later on followed-up byseveral other variants.The occupational standard is the document that states the competitive units and their levelof quality according to their activity outcome for one occupation. This one includes thefields of competence and corresponding unities of compet ence. The competence fields aredivided into three categories: fundamental, general and specific co m-petences. Each unit ofcompetence corresponding to an occupation include: competence elements,accomplishment criteria, variable range and assessment guide. Fundamental competence includes: efficient comm u-nication at work and team work.General competences presuppose: the NPM and NPSI a p-plication, the job organisation,promoting the hotel image. The specific competences are differentiated according tooccupational categories which include technological operations which are specific function.Despite their complexity they do not guarantee the quality of the rendered service as thegeneral competences assurance is not enough to satisfy the clients. This particular clientsatisfaction is determined by other inner individual elements, such as: client needsawareness, active understanding, and servi ce provider responsibility. From the beginning, the methodological norms of star classification of the touristwelcoming structures are limited to quantitative a s-pects of the hotel services quality,without pointing to subtle quality elements of the tourist service, which represent essentialattributes of the hotel product.The internal standards were created by hotel chains in order to ensure a similar system offacilities, to have services and staff with a view to promoting and maintaining a brandimage. These standards are different from one hotel chain to another, even if they havesimilar elements. In the case of independent hotels, only some of them have already createdtheir own standards.Taking into consideration that the ratio of the hotels which have created their own standardsis low, the present ones have an increased level of heterogeneity, and some limits withregards to quality assurance which mak es this meth-od of quality implementation andassessment insufficient.Regarding the quality management systems in tourism, the best a p-proach is the use of anintegrated quality management system which includes: the quality management systembased on SR EN ISO 9001:2001, the environment ma n-agement system based on SR ENISO 14 001:1997, the food security management system according to the HACCPprinciples, based on the ISO 22000 standard and the health and labour security managementsystem based on OHSAS 18002 from 1999.The quality management is defined according to ISO 9000 as the total amount of activitiesof the general management function which determine the policy in the field of quality, inorder to implement the objectives and responsibilities in the quality system by specificmeans, such as: quality planning, quality control, quality assurance and qualityimprovement [8].The main objective of quality management is to efficiently accomplish at a maximum levelthe products which entirely satisfy the client’s requirements and which are consistent withthe society requirements and the applied standards and spec i-fications, which consider allaspects regarding consumer and environment protection and which are offered to the clientat the established price and term.The introduction of a quality system brings benefits to all the parts i n-volved: the designatedcountry, the direct tourist services suppliers, the consumers and the mediators.This implies a constant level of quality. That is why the implementation of quality isaccomplished by a sum of requirements called standards which are grouped in types,according to their field.To get quality does not only mean initiating standards and being co n-sistent with them, butalso quality performance to meet clients’ requirements and expectations, as well as qualitymanagement.In this context, the systemic management of the hotel service quality and the taking up ofsome measures are a maximum priority at this stage.Thus, ensuring products and hotel service comp e-tition must be based on qualitymanagement, as it is a way to ens ure the company’s credibility on the market.Even if the quality management system has been enforced since 1995, the ratio of hotelservice suppliers who are certified is low, as many of them are not aware of the importanceand implications of the certificate of quality.Even in the case of certified organisations some of the subtle aspects of quality guaranteehave not been identified and included in the specific documentation. Thanks to the general nature of the ISO standards and to th e lack of experience in the caseof internal or external auditors within the certifying o r-ganisms, the subtle elements ofquality guarantee have not been identified. This certificate is insuff i-cient to ensure the levelof quality that is required by the new demands in the economic env i-ronment. Though, thefinancial element, the high costs of authorisation and TQM are aspects that determine bighotel and food units to postpone certification, considering that they were not absolut elycompulsory.Despite its advantages offered by the standards and the quality management system, thisinstrument of ensuring the quality of service within the welcoming i n-dustry is limited as itdoes not allow the national level of guaranteed qu ality. Even the hotel field organisations,which have their own system of standards and are certified in an integrated system ofquality management, have not reached the intangible components of ensuring quality ofatmosphere and staff behaviour, but the entertainment service development has beenforgotten, though they best underline the relationship between the supplier and thecustomer.Regulation 636/2003 focussed on the initiation of t he mark Q, with re-gard to the NationalProgram to increase hotel service quality, with a consequence of founding the Tou ristService Quality and Hospitality Industry centre, inJuly 2005 –INQUALTOUR- aprofessional private association of public interest, a NGO and a non profit organization,with its head office in Bucharest. Its founding members are physically and l egallycompetent and are also well known persons in the field of tourism quality, such as theRomanian Quality Insurance Company (SRAC); the Tourism S.C, the Hotel and RestaurantConsulting Group SRL - THR CG; the National Associ a-tion for Rural, Ecological andCultural Group - ANTREC, as well as expects with great expertise.The reason to invite these associations, in Romania was to achieve a Centre of Excellencyand expertise in the field of touring and hospitality to develop quality and competition ofRomanian tourism, its standard and busin ess level, with a view to Eu-ropean Integration andglobalization [2].The Ministry of Tourism, in cooperation with INQUALTOUR and the professional fieldassociations elaborated, at that moment, a guide of over 100 criteria to evaluate hospitalityindustry quality, which were presented to the managers in the field who had to makeremarks to improve things in terms of specific quality standards and of implementing themat the national level a feed-back which hasn’t been yet achi eved, everything being still inthe project stage.These were the first steps in achieving a unitary system and a centralized one to certifyhotel quality service in Romania.3. A new view on the quality of services within the Romanian h otel industryMost countries, which have not perceived the importance of tourism development and theshift to a new way of approaching service quality offered to the clients, have made acomplex system of standards in the hotel ind ustry at a national level, which demand theservice to be characterised by criteria such as: rea c-tion, creditworthiness, curiosity,flexibility, and so on.For instance, since 1995 the Swiss standards included meeting clients in the norms ofclassifications and service quality standards in the ho s-pitality industry at present. Theclassification norms in Swiss is hotels settled by the hotel association being very complex,considering both aspects with q uantitative aspects, trying to diversify and individualizeservice as well as to increase staff behaviour.The Swiss system of classification includes 14 criteria, each containing norms presented ina technical card organized in comfort categorie s.The certificate of classification will be obtained as a reset of self-evaluation, of theevaluation of the regional commission and the commission of hotel classification.The classification criteria deal with : security norms, buildin g exte-rior and area, reception,public area, rooms, bathrooms, breakfast service, room-service, restaurant service,restaurant, further service, reception and entertaining se r-vice, quality, entertainment andsports outfit [13].One should notice the 12 specific norms to organize entertaining a ctiv-ities which should bepermanently achieved based on a settled program advertised in the hotel all season long inseason hotels and the provision of at least one five –day entertainer a week for those hotelsopen all year-long, who may be a free time employee or a collaborator. In the same classification system, other qualitative aspects such as air quality in therestaurants and bars, live music five days a week f or four hours at least are also present.Another example is the hotel certificate in France referential standard which represents theresult of the cooperation between the Chamber of Commerce and Industry, the TourismTrade Union Federation, the Quality Certification Body, the Association for theConsumers’ Protection, on one hand and the tourist and hotel industry professionalassociations and the Tourist Department in France, on the other hand. This quality referential commitment was initiated in 2001 and tested in12 hotels in France;in February 2002 it was published in the “Monitorul Oficial” Review, becoming operationallater on.Hotel certification is a quality guarantee focussing on the cl ient and on increasing servicequality staff behaviour and attitude. It implies 7 quality standards, such as staff professionalsmile, cleanliness and hygiene, quality bed sheets, staff availability, quietness, tourist andpractical information offered to clients as well as monitored quality. Certification will comprise two stages: firstly consultancy and auditing need to reach thehigh level hotel service standard, and secondly the certification as such. The certificate isobtained after some steps have been taken: the “mystery clients” reports, hotel self-evaluation, settling clients’ claims, their level of satisfaction and a s-pects of staff training.Checking is organized every month and it involves 550 issues.At the same time, at the level of hotel chains, there are some assessment and control criteriathat describe service and behaviour components by classical methods of management,according to their own standards by the chain inspectors who a ssess the quality of serviceand the quality and certifying hotel standards as clients.Since 1996, the General Department of Authorisation and Control has dealt with givingtourism patents and classification certificates to di f-ferent tourist units following anassessment process which matched the documentation with the specific conditions offeredby the tourist offers.This observation has led to making a decision to decentralise the au-thorising and controlsystem as well as creating the Local Departments which continued to deal with the sametype of activity according to the legislation, without improving the classification criteriaconcerning tourist welcoming structures and the system of quality a s-sessment.There are mainly two possibilities to approach quality improvement process in theRomanian hotel business as follows: completing the criteria under Methodological Normsregarding the star classification of the welcoming crit eria, and creating a quality assessmentsystem regarding hotels and food.Creating a complex system of services quality standards in the Romanian hotel industrymust be a priority of the Ministry of Tourism, of the professional tou r-ism associations andof all organisations in the field.The new system should include: the total amount of criteria, the methods of theirassessment, establishing institutions which will be involved in the sy s-tem construction, itsimprovement and setting the categories of people who will evaluate the results and will takethe correcting measures.In order to ensure the increase of the hotel quality services we consider that the mostefficient solution would consist of an analysis of the Ministry of Tou r-ism in order to issue anormative act which would be more complex than the present Regul a-tion 636/2008. Thisshould lead to a development of the existent crit e-ria which will include extra criteriaconcerning the assessment of the service quality.Starting with the present system of criteria which are included in the MethodologicalNorms regarding the star classification of the welcoming tourist units and the public foodsupply units, their improvement implies the inclusion of constructive features such as: thehotel location, the accessibility, the quality of the access ways, the placement (close to theinteresting tourist area, slopes, beaches, etc.), the attractiveness of the area.The building assessment may also have in mind the ext eri-or aspect and the architecture,including the novelty of the building or its refurbishment. There are also other ambientelements such as green areas, parks, gardens,water-falls, fountains, lights, as well asentertaining areas for adults and childrenA very important aspect is represented by the development of thecriteria referring to theindoor space which signal the communication with the client repr e-sented by different typesof information, design and decorative plants.A basic element in separating and personalising the service supply is the adjustment to thestructure and the facilities of the room to the client needs by offering for instance double-double rooms, rooms for disabled people, standard rooms, as well as luxury rooms forbusiness people, or rooms for people with pets.Room assessment criteria also include elements of ambiance, lights, aromatherapy, design,colours, but also aspects such as facilities level of usage, ergonomic furniture andequipment, extra beds, or baby care facilities.Modern technologies have allowed the hotel to stop wasting resources, which improved thepossibility to control and adapt the temperature and the lights. Thus they must be includedin the assessment criteria.A basic component of the hotel service is the food supply and the number, the structure andthe specific service offered in the unit. Together with the qu ality of accommodation service,food supply is an important step in choosing a particular hotel. Restaurants may be different according to the qua l-ity of the rendered service and byintroducing hypo-caloric, vegetarian, healthy, thematic, or children menus by making listsof dishes which are specifically described: calories, additives percen t-age, or other elementswhich are part of the Methodological Norms in the chapter dealing with extra-criteria.Internationally in this field, food supply service is assessed by other criteria too: servingstandards, serving efficiency, careful and fast serving, competitive staff who help the client,staff outfit and appearance, visible prices, hygiene and production quality. This also impliesthe aspect of the dishes, their taste, freshness, temperature, as well as ambiance – the degreeof silence, the smoking and non-smoking areas, the possibility to assist the cooking process,children facilities, etc.ConclusionA fresh tourist promotion in Romania is a complex process implying both the initiation oflegal and institutional background and new technical devices, to allow diversifying thehotel and restaurant service supply, and to increase quality service lev-el.This year, the Tourism Ministry has initiated a step to a new quality assessment system, byreconsidering concepts and increasing the importance granted to the hotel staff and theirattitude towards tourist service quality.The economic implications will be critical, though hardly reversible in time, if not achievedin parallel with the implementation of valuable models and the change of mentality withinthe Romanian hotel service suppliers practice.。

椭圆形管孔型设计

椭圆形管孔型设计

椭圆形管孔型设计张 军(石家庄科一重工有限公司冶金轧辊分公司,石家庄050071)摘 要:介绍了椭圆形管的成型方法,并用两种不同的成型方式,说明了不同材质的带材变形时应注意的问题。

同时引入了过变形概念,这对其它异型管孔型设计也很有借鉴作用。

关键词:椭圆形管;孔型设计;过变形;反弹量中图分类号:TG332+.2 文献标识码:B 文章编号:1001-3938(2006)03-0063-02 椭圆(这里的椭圆不是数学上定义的椭圆,而是工程实践中的椭圆)形管成型与方矩形管成型有所不同,因椭圆形由四段圆弧组成,在成型的过程中只是圆弧曲率发生变化。

而方矩形管成型是利用平辊、立辊纵横交替压缩,圆弧曲率交替变化,最终成为直线并弯出四个角部。

1 设计思路椭圆形管用直接成型法较为困难,且质量难以保证,若采用圆变椭圆则比较方便易行。

把椭圆形每段圆弧所对应的弧长、角度及半径看作变量,以不同的架次表现出来,如图1所示。

图1 椭圆形管孔型分段示意图2 椭圆形管孔型设计步骤和方法2.1 设计步骤(1)根据成品管计算出管的外周长及每段所对应的外弧长、圆心角等(R 、r 、a 、b 为已知)。

(2)考虑延伸系数,求出所需圆管(母管)的外径D 圆。

(3)在母管上分段求出所对应的圆心角(图2),即母管(图2)上弧A ′B ′所对应成品椭圆形管(图1)上的弧AB ,弧A ′C ′所对应成品椭圆形管上的弧AC。

图2 母管分段示意图2.2 孔型计算2.2.1 塑性较好材质椭圆管的孔型计算对于塑性较好,不易反弹的带材(如铝带、铜带等)可采用每道以等量递减的原则,这样从圆到椭圆变化较缓,变形过程中的孔型较“胖”,易产生永久变形,进而保证了成型质量。

由图1、图2可看出,从圆到椭圆圆心角的变化是由α′减小到α,边部圆心角的变化是由β′增大到β。

以4架次变形为例说明椭圆形管孔型的具体计算过程。

(1)采用4架(i =1、2、3、4)变形时,每架平均变化的角度应为α′-α4。

市场调查报告 英文

市场调查报告 英文

市场调查报告英文Market Research ReportIntroductionIn today's highly competitive business environment, market research plays a crucial role in helping companies make informed decisions and gain a competitive edge. This market research report aims to provide a comprehensive analysis of the current market trends and consumer preferences in various industries. By examining key factors such as consumer behavior, market size, and competition, this report will assist businesses in developing effective strategiesto meet customer demands and drive growth.Industry OverviewThe report begins with an overview of the industry landscape, highlighting key players, market size, and growth potential. It analyzes the macroeconomic factors influencing the industry, such as GDP growth, inflation rates, and government policies. Additionally, it examines industry-specific factors such as technological advancements, regulatory changes, and emerging market trends. Consumer Behavior AnalysisUnderstanding consumer behavior is vital for businesses to tailor their products and services to meet customer needs effectively. This report delves into consumer behavior analysis, examining factors such as demographics, psychographics, and purchasing patterns. By identifying target consumer segments and their preferences, businesses can develop targeted marketingcampaigns and product offerings.Market Size and Growth PotentialAccurate market sizing is critical for businesses to assess the potential for growth and identify untapped opportunities. This report provides an in-depth analysis of market size, including historical data, current market share, and future growth projections. It also examines market trends, such as emerging technologies, changing consumer preferences, and disruptive innovations, which can impact market dynamics.Competitive LandscapeA comprehensive analysis of the competitive landscape is essential for businesses to understand their position within the industry. This report evaluates key competitors, their market share, and strategies. It also identifies potential threats and opportunities arising from new entrants, mergers and acquisitions, and strategic alliances. By benchmarking against competitors, businesses can develop strategies to differentiate themselves and gain a competitive advantage. Market SegmentationMarket segmentation allows businesses to target specific customer groups effectively. This report conducts a detailed market segmentation analysis, dividing the market into distinct segments based on various criteria such as demographics, geography, and behavior. By understanding the unique needs and preferences of each segment, businesses can tailor their marketing effortsto maximize customer engagement and drive sales.Consumer Feedback and SatisfactionGathering consumer feedback and measuring customer satisfaction are crucial for businesses to improve their products and services continually. This report includes surveys, focus groups, and customer satisfaction ratings to assess consumer perceptions and identify areas for improvement. By acting upon customer feedback, businesses can enhance their offerings, build customer loyalty, and gain a competitive advantage.ConclusionIn conclusion, this market research report provides a comprehensive analysis of the current market trends and consumer preferences in various industries. By examining factors such as consumer behavior, market size, competition, and customer satisfaction, businesses can make informed decisions and develop effective strategies to meet customer demands and drive growth. Market research is an invaluable tool for businesses seeking to thrive in today's dynamic business landscape.。

基于格拉姆角场与迁移学习-AlexNet_的变压器绕组松动故障诊断方法

基于格拉姆角场与迁移学习-AlexNet_的变压器绕组松动故障诊断方法

第51卷第24期电力系统保护与控制Vol.51 No.24 2023年12月16日Power System Protection and Control Dec. 16, 2023 DOI: 10.19783/ki.pspc.230659基于格拉姆角场与迁移学习-AlexNet的变压器绕组松动故障诊断方法薛健侗,马宏忠,杨洪苏,倪一铭,万可力,迮恒鹏(河海大学能源与电气学院,江苏 南京 211100)摘要:绕组松动故障是变压器最主要的机械故障之一,尚缺乏有效的智能化诊断方法。

为此提出基于格拉姆角场与迁移学习-AlexNet的变压器绕组松动故障诊断方法。

变压器稳态运行时的振动信号存在周期性的特点,导致其构建足量具有时间相关性的图像集十分困难,提出了一种样本构建方法用于生成变压器振动信号的格拉姆角场图像集。

将生成的图像集送入AlexNet进行迁移学习,获得微调后的神经网络模型。

实验结果表明:利用该样本构建方法生成的图像集作为训练集和验证集,建立的卷积神经网络模型训练准确率与验证准确率均达到99%以上;利用变压器周期性振动信号生成的图像集作为测试集,测试准确率达到99%以上,实现了变压器绕组松动故障的准确诊断,并为周期性信号运用具有时间相关性的图像变换方法构建足量样本集提供了一种新思路。

关键词:变压器;绕组松动;振动信号;格拉姆角场;AlexNet;迁移学习;样本构建;故障诊断A fault diagnosis method for transformer winding looseness based on Gramianangular field and transfer learning-AlexNetXUE Jiantong, MA Hongzhong, YANG Hongsu, NI Yiming, WAN Keli, ZE Hengpeng(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)Abstract: The winding looseness fault is one of the main mechanical faults in transformers, and there is still a lack of effective intelligent diagnosis methods. Therefore, a diagnosis method for such a fault based on Gramian angular field and transfer learning-AlexNet is proposed. The periodic characteristics of the vibration signals during steady-state operation of transformers make it difficult to construct a sufficient set of images with time correlation. Therefore, a sample construction method is proposed to generate the Gramian angular field image set of transformer vibration signals. The generated image set is sent to AlexNet for transfer learning to obtain the fine-tuned neural network model. The image set generated by the sample construction method is used as the training and validation set, and the experimental results are that training and validation accuracy of the convolutional neural network model established are both above 99%. The image set generated by the periodic vibration signal of the transformer is used as the test set, with a testing accuracy of over 99%, achieving accurate diagnosis of transformer winding looseness faults. It also provides a way for constructing a sufficient sample set using time-related image transformation methods for periodic signals.This work is supported by the National Natural Science Foundation of China (No. 51577050).Key words: transformer; winding looseness; vibration signals; Gramian angular field; AlexNet; transfer learning; sample construction; fault diagnosis0 引言电力变压器作为各级变电站的核心设备,一直基金项目:国家自然科学基金项目资助(51577050);国网江苏省电力有限公司重点科技项目资助(J2021053) 承担着提高线路远距离输送能力、确保用户正常用电的关键任务[1-4]。

pwscf说明书

pwscf说明书

User’s Guide for Quantum ESPRESSO(version4.2.0)Contents1Introduction31.1What can Quantum ESPRESSO do (4)1.2People (6)1.3Contacts (8)1.4Terms of use (9)2Installation92.1Download (9)2.2Prerequisites (10)2.3configure (11)2.3.1Manual configuration (13)2.4Libraries (13)2.4.1If optimized libraries are not found (14)2.5Compilation (15)2.6Running examples (17)2.7Installation tricks and problems (19)2.7.1All architectures (19)2.7.2Cray XT machines (19)2.7.3IBM AIX (20)2.7.4Linux PC (20)2.7.5Linux PC clusters with MPI (22)2.7.6Intel Mac OS X (23)2.7.7SGI,Alpha (24)3Parallelism253.1Understanding Parallelism (25)3.2Running on parallel machines (25)3.3Parallelization levels (26)3.3.1Understanding parallel I/O (28)3.4Tricks and problems (29)4Using Quantum ESPRESSO314.1Input data (31)4.2Datafiles (32)4.3Format of arrays containing charge density,potential,etc (32)5Using PWscf335.1Electronic structure calculations (33)5.2Optimization and dynamics (35)5.3Nudged Elastic Band calculation (35)6Phonon calculations376.1Single-q calculation (37)6.2Calculation of interatomic force constants in real space (37)6.3Calculation of electron-phonon interaction coefficients (38)6.4Distributed Phonon calculations (38)7Post-processing397.1Plotting selected quantities (39)7.2Band structure,Fermi surface (39)7.3Projection over atomic states,DOS (39)7.4Wannier functions (40)7.5Other tools (40)8Using CP408.1Reaching the electronic ground state (42)8.2Relax the system (43)8.3CP dynamics (45)8.4Advanced usage (47)8.4.1Self-interaction Correction (47)8.4.2ensemble-DFT (48)8.4.3Treatment of USPPs (50)9Performances519.1Execution time (51)9.2Memory requirements (52)9.3File space requirements (52)9.4Parallelization issues (52)10Troubleshooting5410.1pw.x problems (54)10.2PostProc (61)10.3ph.x errors (62)11Frequently Asked Questions(F AQ)6311.1General (63)11.2Installation (63)11.3Pseudopotentials (64)11.4Input data (65)11.5Parallel execution (66)11.6Frequent errors during execution (66)11.7Self Consistency (67)11.8Phonons (69)1IntroductionThis guide covers the installation and usage of Quantum ESPRESSO(opEn-Source Package for Research in Electronic Structure,Simulation,and Optimization),version4.2.0.The Quantum ESPRESSO distribution contains the following core packages for the cal-culation of electronic-structure properties within Density-Functional Theory(DFT),using a Plane-Wave(PW)basis set and pseudopotentials(PP):•PWscf(Plane-Wave Self-Consistent Field).•CP(Car-Parrinello).It also includes the following more specialized packages:•PHonon:phonons with Density-Functional Perturbation Theory.•PostProc:various utilities for data postprocessing.•PWcond:ballistic conductance.•GIPAW(Gauge-Independent Projector Augmented Waves):EPR g-tensor and NMR chem-ical shifts.•XSPECTRA:K-edge X-ray adsorption spectra.•vdW:(experimental)dynamic polarizability.•GWW:(experimental)GW calculation using Wannier functions.The following auxiliary codes are included as well:•PWgui:a Graphical User Interface,producing input datafiles for PWscf.•atomic:a program for atomic calculations and generation of pseudopotentials.•QHA:utilities for the calculation of projected density of states(PDOS)and of the free energy in the Quasi-Harmonic Approximation(to be used in conjunction with PHonon).•PlotPhon:phonon dispersion plotting utility(to be used in conjunction with PHonon).A copy of required external libraries are included:•iotk:an Input-Output ToolKit.•PMG:Multigrid solver for Poisson equation.•BLAS and LAPACKFinally,several additional packages that exploit data produced by Quantum ESPRESSO can be installed as plug-ins:•Wannier90:maximally localized Wannier functions(/),writ-ten by A.Mostofi,J.Yates,Y.-S Lee.•WanT:quantum transport properties with Wannier functions.•YAMBO:optical excitations with Many-Body Perturbation Theory.This guide documents PWscf,CP,PHonon,PostProc.The remaining packages have separate documentation.The Quantum ESPRESSO codes work on many different types of Unix machines,in-cluding parallel machines using both OpenMP and MPI(Message Passing Interface).Running Quantum ESPRESSO on Mac OS X and MS-Windows is also possible:see section2.2.Further documentation,beyond what is provided in this guide,can be found in:•the pw forum mailing list(pw forum@).You can subscribe to this list,browse and search its archives(links in /contacts.php).Only subscribed users can post.Please search the archives before posting:your question may have already been answered.•the Doc/directory of the Quantum ESPRESSO distribution,containing a detailed de-scription of input data for most codes infiles INPUT*.txt and INPUT*.html,plus and a few additional pdf documents;people who want to contribute to Quantum ESPRESSO should read the Developer Manual,developer man.pdf.•the Quantum ESPRESSO Wiki:/wiki/index.php/Main Page.This guide does not explain solid state physics and its computational methods.If you want to learn that,you should read a good textbook,such as e.g.the book by Richard Martin: Electronic Structure:Basic Theory and Practical Methods,Cambridge University Press(2004). See also the Reference Paper section in the Wiki.This guide assume that you know the basic Unix concepts(shell,execution path,directories etc.)and utilities.If you don’t,you will have a hard time running Quantum ESPRESSO.All trademarks mentioned in this guide belong to their respective owners.1.1What can Quantum ESPRESSO doPWscf can currently perform the following kinds of calculations:•ground-state energy and one-electron(Kohn-Sham)orbitals;•atomic forces,stresses,and structural optimization;•molecular dynamics on the ground-state Born-Oppenheimer surface,also with variable cell;•Nudged Elastic Band(NEB)and Fourier String Method Dynamics(SMD)for energy barriers and reaction paths;•macroscopic polarization andfinite electricfields via the modern theory of polarization (Berry Phases).All of the above works for both insulators and metals,in any crystal structure,for many exchange-correlation(XC)functionals(including spin polarization,DFT+U,hybrid function-als),for norm-conserving(Hamann-Schluter-Chiang)PPs(NCPPs)in separable form or Ultra-soft(Vanderbilt)PPs(USPPs)or Projector Augmented Waves(PAW)method.Non-collinear magnetism and spin-orbit interactions are also implemented.An implementation offinite elec-tricfields with a sawtooth potential in a supercell is also available.PHonon can perform the following types of calculations:•phonon frequencies and eigenvectors at a generic wave vector,using Density-Functional Perturbation Theory;•effective charges and dielectric tensors;•electron-phonon interaction coefficients for metals;•interatomic force constants in real space;•third-order anharmonic phonon lifetimes;•Infrared and Raman(nonresonant)cross section.PHonon can be used whenever PWscf can be used,with the exceptions of DFT+U and hybrid functionals.PAW is not implemented for higher-order response calculations.Calculations,in the Quasi-Harmonic approximations,of the vibrational free energy can be performed using the QHA package.PostProc can perform the following types of calculations:•Scanning Tunneling Microscopy(STM)images;•plots of Electron Localization Functions(ELF);•Density of States(DOS)and Projected DOS(PDOS);•L¨o wdin charges;•planar and spherical averages;plus interfacing with a number of graphical utilities and with external codes.CP can perform Car-Parrinello molecular dynamics,including variable-cell dynamics.1.2PeopleIn the following,the cited affiliation is either the current one or the one where the last known contribution was done.The maintenance and further development of the Quantum ESPRESSO distribution is promoted by the DEMOCRITOS National Simulation Center of IOM-CNR under the coor-dination of Paolo Giannozzi(Univ.Udine,Italy)and Layla Martin-Samos(Democritos)with the strong support of the CINECA National Supercomputing Center in Bologna under the responsibility of Carlo Cavazzoni.The PWscf package(which included PHonon and PostProc in earlier releases)was origi-nally developed by Stefano Baroni,Stefano de Gironcoli,Andrea Dal Corso(SISSA),Paolo Giannozzi,and many others.We quote in particular:•Matteo Cococcioni(Univ.Minnesota)for DFT+U implementation;•David Vanderbilt’s group at Rutgers for Berry’s phase calculations;•Ralph Gebauer(ICTP,Trieste)and Adriano Mosca Conte(SISSA,Trieste)for noncolinear magnetism;•Andrea Dal Corso for spin-orbit interactions;•Carlo Sbraccia(Princeton)for NEB,Strings method,for improvements to structural optimization and to many other parts;•Paolo Umari(Democritos)forfinite electricfields;•Renata Wentzcovitch and collaborators(Univ.Minnesota)for variable-cell molecular dynamics;•Lorenzo Paulatto(Univ.Paris VI)for PAW implementation,built upon previous work by Guido Fratesi(ano Bicocca)and Riccardo Mazzarello(ETHZ-USI Lugano);•Ismaila Dabo(INRIA,Palaiseau)for electrostatics with free boundary conditions.For PHonon,we mention in particular:•Michele Lazzeri(Univ.Paris VI)for the2n+1code and Raman cross section calculation with2nd-order response;•Andrea Dal Corso for USPP,noncollinear,spin-orbit extensions to PHonon.For PostProc,we mention:•Andrea Benassi(SISSA)for the epsilon utility;•Norbert Nemec(U.Cambridge)for the pw2casino utility;•Dmitry Korotin(Inst.Met.Phys.Ekaterinburg)for the wannier ham utility.The CP package is based on the original code written by Roberto Car and Michele Parrinello. CP was developed by Alfredo Pasquarello(IRRMA,Lausanne),Kari Laasonen(Oulu),Andrea Trave,Roberto Car(Princeton),Nicola Marzari(Univ.Oxford),Paolo Giannozzi,and others. FPMD,later merged with CP,was developed by Carlo Cavazzoni,Gerardo Ballabio(CINECA), Sandro Scandolo(ICTP),Guido Chiarotti(SISSA),Paolo Focher,and others.We quote in particular:•Carlo Sbraccia(Princeton)for NEB;•Manu Sharma(Princeton)and Yudong Wu(Princeton)for maximally localized Wannier functions and dynamics with Wannier functions;•Paolo Umari(Democritos)forfinite electricfields and conjugate gradients;•Paolo Umari and Ismaila Dabo for ensemble-DFT;•Xiaofei Wang(Princeton)for META-GGA;•The Autopilot feature was implemented by Targacept,Inc.Other packages in Quantum ESPRESSO:•PWcond was written by Alexander Smogunov(SISSA)and Andrea Dal Corso.For an introduction,see http://people.sissa.it/~smogunov/PWCOND/pwcond.html•GIPAW()was written by Davide Ceresoli(MIT),Ari Seitsonen (Univ.Zurich),Uwe Gerstmann,Francesco Mauri(Univ.Paris VI).•PWgui was written by Anton Kokalj(IJS Ljubljana)and is based on his GUIB concept (http://www-k3.ijs.si/kokalj/guib/).•atomic was written by Andrea Dal Corso and it is the result of many additions to the original code by Paolo Giannozzi and others.Lorenzo Paulatto wrote the PAW extension.•iotk(http://www.s3.infm.it/iotk)was written by Giovanni Bussi(SISSA).•XSPECTRA was written by Matteo Calandra(Univ.Paris VI)and collaborators.•VdW was contributed by Huy-Viet Nguyen(SISSA).•GWW was written by Paolo Umari and Geoffrey Stenuit(Democritos).•QHA amd PlotPhon were contributed by Eyvaz Isaev(Moscow Steel and Alloy Inst.and Linkoping and Uppsala Univ.).Other relevant contributions to Quantum ESPRESSO:•Andrea Ferretti(MIT)contributed the qexml and sumpdos utility,helped withfile formats and with various problems;•Hannu-Pekka Komsa(CSEA/Lausanne)contributed the HSE functional;•Dispersions interaction in the framework of DFT-D were contributed by Daniel Forrer (Padua Univ.)and Michele Pavone(Naples Univ.Federico II);•Filippo Spiga(ano Bicocca)contributed the mixed MPI-OpenMP paralleliza-tion;•The initial BlueGene porting was done by Costas Bekas and Alessandro Curioni(IBM Zurich);•Gerardo Ballabio wrote thefirst configure for Quantum ESPRESSO•Audrius Alkauskas(IRRMA),Uli Aschauer(Princeton),Simon Binnie(Univ.College London),Guido Fratesi,Axel Kohlmeyer(UPenn),Konstantin Kudin(Princeton),Sergey Lisenkov(Univ.Arkansas),Nicolas Mounet(MIT),William Parker(Ohio State Univ), Guido Roma(CEA),Gabriele Sclauzero(SISSA),Sylvie Stucki(IRRMA),Pascal Thibaudeau (CEA),Vittorio Zecca,Federico Zipoli(Princeton)answered questions on the mailing list, found bugs,helped in porting to new architectures,wrote some code.An alphabetical list of further contributors includes:Dario Alf`e,Alain Allouche,Francesco Antoniella,Francesca Baletto,Mauro Boero,Nicola Bonini,Claudia Bungaro,Paolo Cazzato, Gabriele Cipriani,Jiayu Dai,Cesar Da Silva,Alberto Debernardi,Gernot Deinzer,Yves Ferro, Martin Hilgeman,Yosuke Kanai,Nicolas Lacorne,Stephane Lefranc,Kurt Maeder,Andrea Marini,Pasquale Pavone,Mickael Profeta,Kurt Stokbro,Paul Tangney,Antonio Tilocca,Jaro Tobik,Malgorzata Wierzbowska,Silviu Zilberman,and let us apologize to everybody we have forgotten.This guide was mostly written by Paolo Giannozzi.Gerardo Ballabio and Carlo Cavazzoni wrote the section on CP.1.3ContactsThe web site for Quantum ESPRESSO is /.Releases and patches can be downloaded from this site or following the links contained in it.The main entry point for developers is the QE-forge web site:/.The recommended place where to ask questions about installation and usage of Quantum ESPRESSO,and to report bugs,is the pw forum mailing list:pw forum@.Here you can receive news about Quantum ESPRESSO and obtain help from the developers and from knowledgeable users.You have to be subscribed in order to post to the list.Please browse or search the archive–links are available in the”Contacts”page of the Quantum ESPRESSO web site,/contacts.php–before posting: many questions are asked over and over again.NOTA BENE:only messages that appear to come from the registered user’s e-mail address,in its exact form,will be accepted.Messages”waiting for moderator approval”are automatically deleted with no further processing(sorry,too much spam).In case of trouble,carefully check that your return e-mail is the correct one(i.e.the one you used to subscribe).Since pw forum averages∼10message a day,an alternative low-traffic mailing list,pw users@,is provided for those interested only in Quantum ESPRESSO-related news,such as e.g.announcements of new versions,tutorials,etc..You can subscribe(but not post)to this list from the Quantum ESPRESSO web site.If you need to contact the developers for specific questions about coding,proposals,offersof help,etc.,send a message to the developers’mailing list:user q-e-developers,address.1.4Terms of useQuantum ESPRESSO is free software,released under the GNU General Public License. See /licenses/old-licenses/gpl-2.0.txt,or thefile License in the distribution).We shall greatly appreciate if scientific work done using this code will contain an explicit acknowledgment and the following reference:P.Giannozzi,S.Baroni,N.Bonini,M.Calandra,R.Car,C.Cavazzoni,D.Ceresoli,G.L.Chiarotti,M.Cococcioni,I.Dabo,A.Dal Corso,S.Fabris,G.Fratesi,S.deGironcoli,R.Gebauer,U.Gerstmann,C.Gougoussis,A.Kokalj,zzeri,L.Martin-Samos,N.Marzari,F.Mauri,R.Mazzarello,S.Paolini,A.Pasquarello,L.Paulatto, C.Sbraccia,S.Scandolo,G.Sclauzero, A.P.Seitsonen, A.Smo-gunov,P.Umari,R.M.Wentzcovitch,J.Phys.:Condens.Matter21,395502(2009),/abs/0906.2569Note the form Quantum ESPRESSO for textual citations of the code.Pseudopotentials should be cited as(for instance)[]We used the pseudopotentials C.pbe-rrjkus.UPF and O.pbe-vbc.UPF from.2Installation2.1DownloadPresently,Quantum ESPRESSO is only distributed in source form;some precompiled exe-cutables(binaryfiles)are provided only for PWgui.Stable releases of the Quantum ESPRESSO source package(current version is4.2.0)can be downloaded from this URL:/download.php.Uncompress and unpack the core distribution using the command:tar zxvf espresso-X.Y.Z.tar.gz(a hyphen before”zxvf”is optional)where X.Y.Z stands for the version number.If your version of tar doesn’t recognize the”z”flag:gunzip-c espresso-X.Y.Z.tar.gz|tar xvf-A directory espresso-X.Y.Z/will be created.Given the size of the complete distribution,you may need to download more packages and to unpack them following the same procedure(they will unpack into the same directory).Plug-ins should instead be downloaded into subdirectory plugin/archive but not unpacked or uncompressed:command make will take care of this during installation.Occasionally,patches for the current version,fixing some errors and bugs,may be distributed as a”diff”file.In order to install a patch(for instance):cd espresso-X.Y.Z/patch-p1</path/to/the/diff/file/patch-file.diffIf more than one patch is present,they should be applied in the correct order.Daily snapshots of the development version can be downloaded from the developers’site :follow the link”Quantum ESPRESSO”,then”SCM”.Beware:the develop-ment version is,well,under development:use at your own risk!The bravest may access the development version via anonymous CVS(Concurrent Version System):see the Developer Manual(Doc/developer man.pdf),section”Using CVS”.The Quantum ESPRESSO distribution contains several directories.Some of them are common to all packages:Modules/sourcefiles for modules that are common to all programsinclude/files*.h included by fortran and C sourcefilesclib/external libraries written in Cflib/external libraries written in Fortraniotk/Input/Output Toolkitinstall/installation scripts and utilitiespseudo/pseudopotentialfiles used by examplesupftools/converters to unified pseudopotential format(UPF)examples/sample input and outputfilesDoc/general documentationwhile others are specific to a single package:PW/PWscf:sourcefiles for scf calculations(pw.x)pwtools/PWscf:sourcefiles for miscellaneous analysis programstests/PWscf:automated testsPP/PostProc:sourcefiles for post-processing of pw.x datafilePH/PHonon:sourcefiles for phonon calculations(ph.x)and analysisGamma/PHonon:sourcefiles for Gamma-only phonon calculation(phcg.x)D3/PHonon:sourcefiles for third-order derivative calculations(d3.x)PWCOND/PWcond:sourcefiles for conductance calculations(pwcond.x)vdW/VdW:sourcefiles for molecular polarizability calculation atfinite frequency CPV/CP:sourcefiles for Car-Parrinello code(cp.x)atomic/atomic:sourcefiles for the pseudopotential generation package(ld1.x) atomic doc/Documentation,tests and examples for atomicGUI/PWGui:Graphical User Interface2.2PrerequisitesTo install Quantum ESPRESSO from source,you needfirst of all a minimal Unix envi-ronment:basically,a command shell(e.g.,bash or tcsh)and the utilities make,awk,sed. MS-Windows users need to have Cygwin(a UNIX environment which runs under Windows) installed:see /.Note that the scripts contained in the distribution assume that the local language is set to the standard,i.e.”C”;other settings may break them. Use export LC ALL=C(sh/bash)or setenv LC ALL C(csh/tcsh)to prevent any problem when running scripts(including installation scripts).Second,you need C and Fortran-95compilers.For parallel execution,you will also need MPI libraries and a“parallel”(i.e.MPI-aware)compiler.For massively parallel machines,or for simple multicore parallelization,an OpenMP-aware compiler and libraries are also required.Big machines with specialized hardware(e.g.IBM SP,CRAY,etc)typically have a Fortran-95compiler with MPI and OpenMP libraries bundled with the software.Workstations or“commodity”machines,using PC hardware,may or may not have the needed software.If not,you need either to buy a commercial product(e.g Portland)or to install an open-source compiler like gfortran or g95.Note that several commercial compilers are available free of charge under some license for academic or personal usage(e.g.Intel,Sun).2.3configureTo install the Quantum ESPRESSO source package,run the configure script.This is ac-tually a wrapper to the true configure,located in the install/subdirectory.configure will(try to)detect compilers and libraries available on your machine,and set up things accordingly. Presently it is expected to work on most Linux32-and64-bit PCs(all Intel and AMD CPUs)and PC clusters,SGI Altix,IBM SP machines,NEC SX,Cray XT machines,Mac OS X,MS-Windows PCs.It may work with some assistance also on other architectures(see below).Instructions for the impatient:cd espresso-X.Y.Z/./configuremake allSymlinks to executable programs will be placed in the bin/subdirectory.Note that both Cand Fortran compilers must be in your execution path,as specified in the PATH environment variable.Additional instructions for CRAY XT,NEC SX,Linux PowerPC machines with xlf:./configure ARCH=crayxt4./configure ARCH=necsx./configure ARCH=ppc64-mnconfigure Generates the followingfiles:install/make.sys compilation rules andflags(used by Makefile)install/configure.msg a report of the configuration run(not needed for compilation)install/config.log detailed log of the configuration run(may be needed for debugging) include/fft defs.h defines fortran variable for C pointer(used only by FFTW)include/c defs.h defines C to fortran calling conventionand a few more definitions used by CfilesNOTA BENE:unlike previous versions,configure no longer runs the makedeps.sh shell scriptthat updates dependencies.If you modify the sources,run./install/makedeps.sh or type make depend to updatefiles make.depend in the various subdirectories.You should always be able to compile the Quantum ESPRESSO suite of programs without having to edit any of the generatedfiles.However you may have to tune configure by specifying appropriate environment variables and/or command-line ually the tricky part is toget external libraries recognized and used:see Sec.2.4for details and hints.Environment variables may be set in any of these ways:export VARIABLE=value;./configure#sh,bash,kshsetenv VARIABLE value;./configure#csh,tcsh./configure VARIABLE=value#any shellSome environment variables that are relevant to configure are:ARCH label identifying the machine type(see below)F90,F77,CC names of Fortran95,Fortran77,and C compilersMPIF90name of parallel Fortran95compiler(using MPI)CPP sourcefile preprocessor(defaults to$CC-E)LD linker(defaults to$MPIF90)(C,F,F90,CPP,LD)FLAGS compilation/preprocessor/loaderflagsLIBDIRS extra directories where to search for librariesFor example,the following command line:./configure MPIF90=mpf90FFLAGS="-O2-assume byterecl"\CC=gcc CFLAGS=-O3LDFLAGS=-staticinstructs configure to use mpf90as Fortran95compiler withflags-O2-assume byterecl, gcc as C compiler withflags-O3,and to link withflag-static.Note that the value of FFLAGS must be quoted,because it contains spaces.NOTA BENE:do not pass compiler names with the leading path included.F90=f90xyz is ok,F90=/path/to/f90xyz is not.Do not use environmental variables with configure unless they are needed!try configure with no options as afirst step.If your machine type is unknown to configure,you may use the ARCH variable to suggest an architecture among supported ones.Some large parallel machines using a front-end(e.g. Cray XT)will actually need it,or else configure will correctly recognize the front-end but not the specialized compilation environment of those machines.In some cases,cross-compilation requires to specify the target machine with the--host option.This feature has not been extensively tested,but we had at least one successful report(compilation for NEC SX6on a PC).Currently supported architectures are:ia32Intel32-bit machines(x86)running Linuxia64Intel64-bit(Itanium)running Linuxx8664Intel and AMD64-bit running Linux-see note belowaix IBM AIX machinessolaris PC’s running SUN-Solarissparc Sun SPARC machinescrayxt4Cray XT4/5machinesmacppc Apple PowerPC machines running Mac OS Xmac686Apple Intel machines running Mac OS Xcygwin MS-Windows PCs with Cygwinnecsx NEC SX-6and SX-8machinesppc64Linux PowerPC machines,64bitsppc64-mn as above,with IBM xlf compilerNote:x8664replaces amd64since v.4.1.Cray Unicos machines,SGI machines with MIPS architecture,HP-Compaq Alphas are no longer supported since v.4.2.0.Finally,configure recognizes the following command-line options:--enable-parallel compile for parallel execution if possible(default:yes)--enable-openmp compile for openmp execution if possible(default:no)--enable-shared use shared libraries if available(default:yes)--disable-wrappers disable C to fortran wrapper check(default:enabled)--enable-signals enable signal trapping(default:disabled)and the following optional packages:--with-internal-blas compile with internal BLAS(default:no)--with-internal-lapack compile with internal LAPACK(default:no)--with-scalapack use ScaLAPACK if available(default:yes)If you want to modify the configure script(advanced users only!),see the Developer Manual.2.3.1Manual configurationIf configure stops before the end,and you don’tfind a way tofix it,you have to write working make.sys,include/fft defs.h and include/c defs.hfiles.For the latter twofiles,follow the explanations in include/defs.h.README.If configure has run till the end,you should need only to edit make.sys.A few templates (each for a different machine type)are provided in the install/directory:they have names of the form Make.system,where system is a string identifying the architecture and compiler.The template used by configure is also found there as make.sys.in and contains explanations of the meaning of the various variables.The difficult part will be to locate libraries.Note that you will need to select appropriate preprocessingflags in conjunction with the desired or available libraries(e.g.you need to add-D FFTW)to DFLAGS if you want to link internal FFTW).For a correct choice of preprocessingflags,refer to the documentation in include/defs.h.README.NOTA BENE:If you change any settings(e.g.preprocessing,compilationflags)after a previous(successful or failed)compilation,you must run make clean before recompiling,unless you know exactly which routines are affected by the changed settings and how to force their recompilation.2.4LibrariesQuantum ESPRESSO makes use of the following external libraries:•BLAS(/blas/)and•LAPACK(/lapack/)for linear algebra•FFTW(/)for Fast Fourier TransformsA copy of the needed routines is provided with the distribution.However,when available, optimized vendor-specific libraries should be used:this often yields huge performance gains. BLAS and LAPACK Quantum ESPRESSO can use the following architecture-specific replacements for BLAS and LAPACK:MKL for Intel Linux PCsACML for AMD Linux PCsESSL for IBM machinesSCSL for SGI AltixSUNperf for SunIf none of these is available,we suggest that you use the optimized ATLAS library:see /.Note that ATLAS is not a complete replacement for LAPACK:it contains all of the BLAS,plus the LU code,plus the full storage Cholesky code. Follow the instructions in the ATLAS distributions to produce a full LAPACK replacement.Sergei Lisenkov reported success and good performances with optimized BLAS by Kazushige Goto.They can be freely downloaded,but not redistributed.See the”GotoBLAS2”item at /tacc-projects/.FFT Quantum ESPRESSO has an internal copy of an old FFTW version,and it can use the following vendor-specific FFT libraries:IBM ESSLSGI SCSLSUN sunperfNEC ASLAMD ACMLconfigure willfirst search for vendor-specific FFT libraries;if none is found,it will search for an external FFTW v.3library;if none is found,it will fall back to the internal copy of FFTW.If you have recent versions of MKL installed,you may try the FFTW interface provided with MKL.You will have to compile them(only sources are distributed with the MKL library) and to modifyfile make.sys accordingly(MKL must be linked after the FFTW-MKL interface)MPI libraries MPI libraries are usually needed for parallel execution(unless you are happy with OpenMP multicore parallelization).In well-configured machines,configure shouldfind the appropriate parallel compiler for you,and this shouldfind the appropriate libraries.Since often this doesn’t happen,especially on PC clusters,see Sec.2.7.5.Other libraries Quantum ESPRESSO can use the MASS vector math library from IBM, if available(only on AIX).2.4.1If optimized libraries are not foundThe configure script attempts tofind optimized libraries,but may fail if they have been in-stalled in non-standard places.You should examine thefinal value of BLAS LIBS,LAPACK LIBS, FFT LIBS,MPI LIBS(if needed),MASS LIBS(IBM only),either in the output of configure or in the generated make.sys,to check whether it found all the libraries that you intend to use.If some library was not found,you can specify a list of directories to search in the envi-ronment variable LIBDIRS,and rerun configure;directories in the list must be separated by spaces.For example:./configure LIBDIRS="/opt/intel/mkl70/lib/32/usr/lib/math"If this still fails,you may set some or all of the*LIBS variables manually and retry.For example:./configure BLAS_LIBS="-L/usr/lib/math-lf77blas-latlas_sse"Beware that in this case,configure will blindly accept the specified value,and won’t do any extra search.。

Development and Characterization of a Cell Culture Manufacturing Process Using Quality

Development and Characterization of a Cell Culture Manufacturing Process Using Quality

Development and Characterizationof a Cell Culture Manufacturing ProcessUsing Quality by Design (QbD)PrinciplesDaniel M.Marasco,Jinxin Gao,Kristi Griffiths,Christopher Froggatt,Tongtong Wang and Gan WeiAbstract The principles of quality by design (QbD)have been applied in cell culture manufacturing process development and characterization in the biotech industry.Here we share our approach and practice in developing and char-acterizing a cell culture manufacturing process using QbD principles for establishing a process control strategy.Process development and character-ization start with critical quality attribute identification,followed by process parameter and incoming raw material risk assessment,design of experiment,and process parameter classification,and conclude with a design space con-struction.Finally,a rational process control strategy is established and documented.Keywords Cell culture process characterization ÁCell culture process develop-ment ÁCell culture process scale-up ÁControl strategy ÁCritical quality attribute ÁDesign space ÁQuality by design ÁRisk assessment AbbreviationsQbDQuality by design QTPPQuality target product profile CQACritical quality attributes DOEDesign of experiment CPMControl point matrix FMEA Failure modes and effects analysisD.M.Marasco (&)ÁJ.Gao ÁK.Griffiths ÁC.Froggatt ÁT.Wang ÁG.WeiBioproduct Research and Development,Lilly Research Laboratories,Eli Lilly and Company,Indianapolis,IN 46285,USAe-mail:marasco_daniel_m@Adv Biochem Eng Biotechnol (2014)139:93–121DOI:10.1007/10_2013_217ÓSpringer-Verlag Berlin Heidelberg 2013Published Online:5July 201394 D.M.Marasco et al. Contents1Introduction (94)2Development and Characterization of Cell Culture Manufacturing Process for Establishing a Process Control Strategy (96)2.1Construct CQA(s)Control Points Matrix (96)2.2Initial Process Parameter Risk Assessment (98)2.3Risk Mitigation/Initial Process Characterization Experiments (101)2.4Final Characterization Experiment (106)2.5FMEA Process Parameter Risk Assessment (106)2.6Classification of Process Parameters (108)2.7Process Excursion Studies (110)2.8Construction of the Design Space/Operating Space (110)2.9Cell Culture Process Control Strategy (110)3Case Study (111)3.1Construct CQA(s)Control Points Matrix (111)3.2Initial Process Parameter Risk Assessment (111)3.3Scale-Down Model (112)3.4Initial Process Characterization Experiments (112)3.5Final Process Characterization Experiment (115)3.6FMEA Process Parameter Risk Assessment (116)3.7Process Excursion Study (116)3.8Classification of Process Parameters (117)3.9Construction of Design Space (117)References (121)1IntroductionThe quality by design(QbD)concepts embodied in the International Conference on Harmonization(ICH)guidelines Q8(R2),Q9,Q10,and Q11have been applied to cell culture manufacturing process development and characterization[1–4].The January2011revised FDA Guidance for Industry,Process Validation:General Principles and Practices,integrates QbD principles into process validation prac-tices[5].These guidance documents outline the application of QbD principles in the lifecycle of a product from process design,process definition,and process characterization to process validation and continued process verification.The expectation from regulatory agencies is that quality is designed or built into the product and its manufacturing process and quality cannot be adequately assured by testing[5].The benefit of QbD is twofold:one is to provide a high level of assurance for product quality through lifecycle management of the product;the other is the potential forflexibility in the reporting responsibilities for movements within a registered design space[1].The implementation of QbD principles means product characteristics are designed and fully understood and their linkage to patient safety and clinical efficacy is established,the interaction between critical product quality attributes and its manufacturing process are fully characterized,and control strategyDevelopment and Characterization of a Cell Culture Manufacturing Process95including design space is established to ensure that the manufacturing process is capable of consistently producing the product with the desired quality attributes [6,7].Figure1presents our approach in applying QbD principles to developing and characterizing a cell culture manufacturing process for establishing a process control strategy.Development of a cell culture manufacturing process control strategy starts from identifying drug substance critical quality attributes based on the quality target product profile(QTTP).Critical quality attributes(CQAs)are identified through risk assessment that evaluates severity based on impact on patient safety and/or clinical efficacy[8].The list of CQA(s)evolves during the development lifecycle.Then,a matrix is created to describe the interaction between critical quality attributes and process unit operations based on previous process development work,platform knowledge,literature information,andfirst principles.This control point matrix (CPM)visually indicates the origin,growth,reduction,or clearance of the quality attributes over the entire drug substance manufacturing process and demonstrates the process control points for each critical quality attribute.96 D.M.Marasco et al.Using the CPM as a guide,initial process parameter risk assessments are per-formed to evaluate the impact of process parameters and incoming raw materials systematically,within common cause variability,on critical product quality attributes.Process parameters are selected based on risk assessment for empirical evaluation using design of experiments(DOE)utilizing a qualified scale-down model.The purpose of the initial characterization study is to link process parameters to critical quality attributes.A resolution III or IV,fractional factional DOE is conducted depending on the number of parameters to be evaluated.Pro-cess parameters having statistically significant impact on CQA(s)are selected for further study using response surface DOE.The functional relationships between these process parameters and CQA(s)are fully characterized.A secondary risk assessment,failure mode and effects analysis(FMEA),is performed during technology transfer to the commercial manufacturing site.Risks identified during the FMEA are further reduced or mitigated through process excursion and/or process challenge studies.Process parameters are classified as critical or noncritical postprocess charac-terization studies.The classification is performed based on risk assessment and experimental results from process characterization studies.Based on risk assess-ments conducted throughout the development lifecycle,those process parameters assessed as not likely to affect CQAs are classified as noncritical.For process parameters evaluated in characterization studies,if a parameter is both statistically significant and practically significant in affecting CQA(s),it is classified as critical. Otherwise,it is classified as noncritical.A design space/operating space is constructed post parameter classification.Per ICH Q8,design space is the multidimensional combination and interaction of input variables(e.g.,material attributes)and process parameters that have been dem-onstrated to provide assurance of quality.A cell culture process control strategy is established and documented based on information generated through risk assessments and process characterization studies during the development lifecycle.The establishment of analytical control strategy and microbiological control strategy is beyond the scope of this chapter.In the next sections,we describe our practices for process parameter risk assessments,CQA-driven process characterization by design of experiment,pro-cess parameter classification,design space/operating space construction,and process control strategy establishment.2Development and Characterization of Cell Culture Manufacturing Process for Establishing a ProcessControl StrategyThe process development lifecycle consists of process design,process definition, process characterization,process validation,and continued process verification.Development and Characterization of a Cell Culture Manufacturing Process97Table1Control points matrix describing the probable quality attribute control pointsCritical quality attribute Analytical method Unit operation influencing CQA(s)12345…N CQA#1OCQA#2OCQA#3O:XCQA#4O l X; CQA#5O X;O Origin of attribute at this unit operation:Growth of attribute at this unit operation;Reduction of attribute at this unit operationl Potential for growth or reduction of attribute at this unit operationX Significant reduction/clearance of attribute at this unit operationAfter definition of an initial baseline process,characterization studies are initiated to understand fully the impact of process parameters and incoming raw material attributes,within common cause variability,on critical quality attributes.Process characterization starts with risk assessment.The intention of the initial risk assessment is systematically to evaluate the potential risk of process parameters and incoming raw material attributes from each unit operation,within common cause variability,on critical quality attributes.A cause and effect methodology is utilized in the initial risk assessment.2.1Construct CQA(s)Control Points MatrixPrior to initializing process characterization,sufficient information should be available to describe,or reasonably estimate,the relationship between the unit operations and critical quality attributes.In order to facilitate the initial cause-and-effect risk assessment,a unit operation-based,control points matrix(CPM),is created to describe the probable control points(one or many)for each critical quality attribute.The matrix should include the most likely origin,growth, reduction,or clearance of the critical quality attributes across the entire drug substance manufacturing process.An example of a unit operation-based control point matrix is displayed in Table1.The control points matrix is used to guide the process parameter risk assessment by allowing unit operation characterization studies to focus only on the relevant critical quality attributes that are significantly influenced by the purpose or design intent of the unit operation.The control points matrix is updated as additional information becomes available.2.2Initial Process Parameter Risk AssessmentInitial process parameter risk assessments are based on process knowledge,that is, a combination of practical experience and theoretical understanding.The process parameter risk assessment is performed iteratively throughout the development lifecycle to prioritize development efforts.Depending upon an organization’s experience and relative level of comfort conducting these risk assessments,they may be performed by a subject matter expert,or by a cross-functional team.Per ICH Q6,the degree of rigor and formality of quality risk management should reflect available knowledge and be commensurate with the complexity and/or criticality of the issue to be addressed.The initial process parameter risk assessment is performed in four basic steps: (1)identify output,(2)identify input process parameters,(3)evaluate the probablerisks,and(4)rank the process parameters by riskscore.The results from the risk assessment guide and prioritize the experimental program used to characterize each unit operation of the cell culture manufacturing process.2.2.1Identification of OutputsCritical quality attributes are the main output analyzed in the initial process parameter risk assessment.Process performance indicators may also be considered.2.2.2Identification of Input Process ParametersThe inputs,or process parameters,are identified based on the operational knowledge and mechanistic understanding of each unit operation in the manu-facturing process.A cause and effect diagram is a useful tool to organize and group process parameters systematically by function.The cause-and-effect diagram is constructed by placing the output(i.e.,product and process attributes of interest)at the right side of the diagram,with the potential design factors(i.e.,process parameters and incoming raw material attributes,e.g.,concentration accuracy)on a series of branches and subbranches extending from the output axis.The process parameters can be grouped by function or process step to ensure no process parameters are overlooked.98 D.M.Marasco et al.The level of branching can be moderated to facilitate efficient communica-tion to ensure the level of detail is appropriate.An example cause-and-effect diagram describing a typical production bioreactor process is given in Fig.2[9].2.2.3Risk AnalysisAfter identifying the relevant process outputs (CQAs)and process inputs (process parameters)for each unit operation,the risks of common cause variability in the input parameters that may affect the output parameters are assessed.The risk analysis is based on first principles,literature information,platform knowledge,manufacturing experience,scientific judgment of the subject matter experts,and molecule-specific empirical knowledge.The process parameters can be classified into two groups:those that have the potential to affect critical quality attributes and those that do not.Process parameters that do not have the potential to affect critical quality attributes may be assigned a low risk score.Typically,low-risk process parameters are not formally studied in laboratory models or designed experiments and are classifiedas Development and Characterization of a Cell Culture Manufacturing Process 99100 D.M.Marasco et al.noncritical with appropriate rationales.The remaining process parameters are classified as high risk,thus,they may have the potential to affect critical quality attributes and require additional evaluation to better understand,reduce,or miti-gate risks.The process parameter risk assessment follows the logic diagram pre-sented in Fig.3.The initial process parameter risk assessment is an integral part of the development of a control strategy;therefore,this assessment should be ade-quately documented.2.2.4Raw Material Risk AssessmentThe risks of variability inherent to the cell culture raw materials used to manu-facture drug substances on CQA(s)are evaluated in the development lifecycle.The raw material components are analyzed to assess the intrinsic risk(use of the correct raw materials)and the extrinsic risk(lot-to-lot variability)on CQA(s)and other quality attributes.The assessment includes the risks introduced from a quality,technical,and procurement perspective.The initial risk assessment occurs prior to the manufacture of pivotal clinical materials,and is reassessed as the process evolves.For example,technology transfer and/or changes in the process or supply chain may initiate a reassessment.The evaluation of raw material risk utilizes a series of weighted risk elements based on their criticality to the product or process,and the risk to the patient.Each raw material is assigned a three-tiered risk score(low=1,medium=3,or high=5)for each risk element using a combination of platform knowledge, manufacturing experience,opinions of the subject matter experts,and molecule-Development and Characterization of a Cell Culture Manufacturing Process101 specific empirical knowledge.The summation of the individual risk scores mul-tiplied by the risk element weight is calculated for each component.These values are used to rank the relative risks for each raw material component.As an example,the risk elements,and their respective weights,are described in table.Description of risk elementsWeight=5•Variability has the potential to affect the drug substance quality attributes•Ability of raw material to introduce bioburden,endotoxin,viral contaminates•Known issues with raw materialWeight=3•Molecular complexity•Potential to affect process performanceWeight=1•Experience with vendor•Manufactured for pharmaceutical industry2.3Risk Mitigation/Initial Process CharacterizationExperimentsFollowing the identification of high-risk process parameters and raw materials,an experimental program is designed to characterize and mitigate the risks of iden-tified process parameters on critical quality attributes within common cause variability.2.3.1Experimental StrategyThe experimental program is designed to characterize the manufacturing process to ensure consistent robust manufacturing capability.The high-risk process parameters are studied in a series of designed experiments intended to understand and mitigate potential risks further.Scale-independent process parameters are explored using a laboratory scale-down model.Scale-dependent parameters may be studied using intermediate or at-scale bioreactors.The experimental program is typically initialized utilizing a highly leveraged design of experiments of a resolution sufficient to identify the main effects and some quadratic effects.Depending upon the number of relevant process parameters identified in the risk assessment process,a single or a series of screening exper-iments can be planned.Multivariate fractional factorial design of experiments of resolution III or IV run using one or several blocks are common.Based on the output from the screening experiment,additional studies may be performed to102 D.M.Marasco et al. characterize parameters further that have a statistically and practically significant effect on critical quality attributes.Prior to designing experiments,the high-risk process parameters should be examined while acknowledging that not all process parameters are independent of each other(i.e.,medium strength and medium osmolality).Potential correlations should be identified and taken into consideration.2.3.2Process Parameter Range of InterestDuring cell culture manufacturing process characterization studies,the target setpoints of process parameters are determined based on process design and def-inition experimentation;process parameter ranges selected are intended to eval-uate the impact of common cause variability in operations on critical quality mon cause variability is defined as the expected level of variability experienced during normal unit operations in a manufacturing environment when executed according to the batch record instructions.The range of interest is determined from the current understanding of the at-scale control capability using a combination of operational variability,or the variance from target setpoints,and the measurement uncertainty of the device(s) that record the process measurement.Theoperationalvariabilityisameasureofperformancederived fromsampling unit operations in the clinical manufacturing or commercial manufacturing facilities.The range encompassing common cause variability is chosen so that the probability of the parameter values being within the range of the target setpoints±operational vari-ability is at least0.995(or99.5%).Generally,six times the operational variability is selectedtoensurethatthevaluesofagivenprocessparameterwillfallwithinthisrange irrespective of the underlying distribution[10].The measurement uncertainty characterizes the dispersion of the values that could be reasonably attributed to the measurement.The measurement uncertainty is designed to reduce the false acceptance rate and is selected to ensure95%of the recorded measurements fall within the desired range.The measurement uncer-tainty is derived from either the measurement system design specification or historic calibration performance[11].The summation of operational variability(containing99.5%of the observed values)and measurement uncertainty(containing95%of the recorded measure-ments)defines the recommended minimum range of interest used to characterize the process,as displayed in Fig.4.2.3.3Laboratory Scale Models for Process CharacterizationIn most scenarios,performing process characterization studies at the manufac-turing scale is not practically feasible due to the cost of operation,and limited availability of large-scale bioreactors.Therefore,laboratory scale models are usedto perform process characterization experiments that define acceptable process ranges and establish predictive relationships between the scale-independent pro-cess parameters and critical product quality attributes.This approach is in align-ment with ICH guidance [4];small–scale models can be developed and used to support process development studies.The development of a model should account for scale effects and be representative of the proposed commercial process.A scientifically justified model can enable a prediction of product quality,and can be used to support the extrapolation of operating conditions across multiple scales and equipment.The cell culture manufacturing process includes a series of shake flasks and conventional stirred-tank or disposable bioreactors to manufacture the unprocessed bulk drug substance.The culture expansion steps have a limited potential for impact on critical quality attributes due to negligible accumulation of product;therefore the focus of the scale-down model is typically on the production bio-reactor unit operation.The bioreactor configuration has five primary control loops intended to measure and control culture temperature,dissolved oxygen,culture pH,agitation rate,and vessel pressure by manipulating caustic and acidic pH control loops,air,oxygen,and carbon dioxide gas flow rates,vessel jacket heat exchanger,and the agitator drive.An example P&ID (piping and instrumentation diagram)is provided in Fig.5.The cell culture process parameters can be separated into two groups including scale-dependent and scale-independent parameters.The operating conditions for scale-independent parameters (i.e.,temperature,pH,dissolved oxygen concen-tration)are conserved across different scales.The scale-dependent parameters (i.e.,agitation rate,gas flow rates,nutrient addition volume)are adjusted to conform to the scaling strategy employed.The scale-dependent parameters included in a bioreactor system are driven by gas–liquid and liquid–liquid mixing with the associated mass and heat transport phenomena.Mixing systems do not scale proportionally in all dimensions;therefore a basis for scaling up mixing unit operations must be chosen by bal-ancing the characteristics that are important to the process under consideration.Scaling strategies are typically based on a combination of geometric similarity,kinematic similarity,dynamic similarity,and/or power per unit volume input.TargetVariability6σr 2σmu2σmu 6σrTypically two of the four methods are selected,allowing the other characteristics to change.Bioreactor unit operations used for mammalian cell culture processes are usually scaled up by conserving the power per unit volume with geometrically similar vessels.When scaling up on the basis of geometric similarity and constant power per unit volume,the relative agitator tip speed and the bulk mixing time increase.Increasing the agitator tip speed may increase the risk of shear damage to the cells;however,prior experiments have demonstrated that the risk of damage is minimal over the normal operating range of interest.Increasing the bulk mixing time will result in an increased risk of vessel heterogeneity which could affect the product’s critical quality attributes and process performance.Equipment design and addi-tional experiments should be considered if there is a high risk of vessel hetero-geneity affecting culture performance or critical quality attributes.In cell culture processes the proper scaling of gas flow rates to control dissolved carbon dioxide and dissolved oxygen levels is not trivial.As the process is scaled up,the mass transport of oxygen increases with vessel volume leading to a decreased volumetric flow rate of oxygen necessary to meet the culture demand.The resulting decrease in volumetric flow rate reduces the capability to remove carbon dioxide.An air balance is required in the sparger line to provide a sufficient volumetric flow for carbon dioxide removal.In addition,the medium chemistry and the profile of metabolic by-products (i.e.,lactate concentration)may lead to a feedforward control strategy based on the interaction between dissolvedoxygen Fig.5Example bioreactor piping and instrumentation diagramand pH control loops.In our system,the gas sparger configuration may be spec-ified so that the amount of gasflow needed to maintain the dissolved oxygen control is the amount of gas needed for carbon dioxide removal.The carbon dioxide management in the at-scale and intermediate-scale bioreactors may be determined through process models that simultaneously solve the chemistry equilibrium and mass transfer equations through the course of the run assuming that the oxygen uptake rate and significant metabolic by-products are defined by the process conditions.The models are used to define a target airflow rate that allows for carbon dioxide off-gassing.The interaction between multiple scale-dependent control loops presents additional challenges when scaling down cell culture processes to the laboratory bench scale.The power per unit volume is difficult to determine as the standard vessel geometry is modified to accommodate the reduced scale.In addition,the ratio between culture volume and surface area in contact with the head space increases,influencing the mass transfer rates for gases.As a result controlling the pCO2concentration at the laboratory scale is difficult to model.Additional experiments may be performed to understand the risks better that elevated carbon dioxide levels have on culture performance and/or product critical quality attributes.The capabilities of the laboratory scale models are monitored throughout the development lifecycle and the risk,whether the scale-down models are repre-sentative of at-scale processes,is analyzed as sufficient large-scale information becomes available.The laboratory-scale models are analyzed by comparing results between the scale-down and at-scale processes for outcomes including critical quality attributes,other product quality attributes,and process performance indicators.The scale comparison data for quality attributes are explored using statistical methods.The data from bioreactors run at process targets in the scale-down model (from process characterization and process design and definition studies)are compared to the data generated from at-scale clinical material manufacturing campaigns.An equivalence test(two-one-sided t test,TOST)with a predefined practical difference is used to test for equivalency between critical and other product quality attributes[12].A practical difference threshold should be sufficient to support the claims,or intended use of the scale-down model.Based on these criteria,the suitability of the scale-down model relative to the at-scale process can be assessed.The process performance indicators are also explored qualitatively by exam-ining the process trends over parisons are made relative to the direc-tionality and closeness of the time-series data.If the performance of the scale-down model is not equivalent,additional analysis should be performed to determine if the process characterization results are sufficient to construct an adequate control strategy.If not,additional work should be performed to develop a better model,or generate additional data to mitigate risks.。

身高体重鞋的尺码英语作文

身高体重鞋的尺码英语作文

身高体重鞋的尺码英语作文The Relationship between Height, Weight, and Shoe Size.In the world of fashion and personal styling, the right fit is essential. Whether it's clothing, accessories, or footwear, a proper fit not only enhances one's appearance but also ensures comfort and functionality. Among these, shoe size is often overlooked, but it plays a crucial role in overall well-being and gait. This article delves into the relationship between height, weight, and shoe size, exploring the factors that influence shoe sizing and how it affects individuals' lives.The Basics of Shoe Sizing.Before delving into the complex relationship between height, weight, and shoe size, it's important to understand the basics of shoe sizing. Shoe sizes vary from brand to brand and even within the same brand, depending on thestyle and design. Generally, shoe sizes are measured ininches or centimeters, with each size corresponding to a specific length of the shoe's interior.In the United States, shoe sizes are typically denoted by a number followed by a letter (e.g., 8.5D). The number represents the length of the shoe, while the letter denotes the width. Different letters (A, B, C, D, etc.) indicate varying widths, with D being the average width and other letters indicating narrower or wider fits.The Impact of Height and Weight on Shoe Size.Height and weight play a significant role in shoe sizing. Generally, taller individuals tend to have longer feet and require larger shoe sizes. However, this relationship is not absolute, as shoe size can vary among individuals of the same height due to factors such as body proportion, foot shape, and arch height.Weight also affects shoe sizing, particularly in terms of shoe width. Heavier individuals may have wider feet due to the increased pressure and spread of weight. Conversely,lighter individuals may have narrower feet.Other Factors Influencing Shoe Size.In addition to height and weight, several other factors influence shoe size. Foot shape, for instance, can significantly affect shoe fit. Some feet are narrower or wider at the heel or toe, requiring specific shoe models or custom-made shoes for a comfortable fit.Arch height is another crucial factor. High arches can lead to shoes feeling too tight or uncomfortable, while low arches may require additional support or padding.Genetic factors also play a role. The shape and size of one's feet are largely inherited, meaning that individuals may inherit foot characteristics that affect shoe sizing.The Importance of Finding the Right Shoe Size.Finding the right shoe size is crucial for maintaining foot health and preventing common foot problems. Wearingshoes that are too small can lead to bunions, calluses, and other painful conditions. Conversely, shoes that are too large can cause instability and lead to falls or injuries.Properly fitting shoes also contribute to overall comfort and well-being. Shoes that fit well provide the necessary support and cushioning, reducing strain on the feet, ankles, and knees. This, in turn, can improve posture, reduce fatigue, and enhance one's overall quality of life.Conclusion.In conclusion, the relationship between height, weight, and shoe size is complex and influenced by multiple factors. Understanding these factors and seeking professional shoe fitting advice can help individuals find the perfect shoe fit, enhancing their comfort, style, and foot health. Remember, proper shoe fit is not just about fashion; it's about functionality and well-being. Investing in a pair of well-fitting shoes is an investment in your overall health and happiness.。

重参数化卷积 英语

重参数化卷积 英语

重参数化卷积英语The term "reparameterization convolution" refers to a technique used in deep learning and specifically in convolutional neural networks (CNNs). In the context of CNNs, reparameterization convolution is a method that aims to improve the efficiency and effectiveness of the convolutional layers by reparameterizing the filters or weights in a way that reduces the computational cost and memory usage while maintaining or even improving the performance of the network.In reparameterization convolution, the traditional convolutional filters are transformed or restructured in a manner that allows for more efficient computation. This can involve techniques such as factorizing the filters into smaller components, using low-rank approximations, or applying other mathematical transformations to the filter parameters. By doing so, the number of parameters in the network can be reduced, leading to faster training and inference times, as well as lower memory requirements.One common approach to reparameterization convolutionis the use of depthwise separable convolutions, which decompose the standard convolution into two separate layers: a depthwise convolution that filters input channels separately, followed by a pointwise convolution that combines the outputs of the depthwise convolution. This separation of the spatial and channel-wise filtering helpsin reducing the number of parameters and the computational cost, particularly in mobile and embedded applicationswhere resource constraints are a concern.Reparameterization convolution has gained attention in the deep learning community due to its potential for improving the efficiency of CNNs, particularly in scenarios where computational resources are limited. By rethinkingthe parameterization of convolutional layers, researchers and practitioners aim to strike a balance between model complexity and computational efficiency, ultimately leading to more scalable and deployable deep learning models.In summary, reparameterization convolution is atechnique in deep learning that involves rethinking the parameterization of convolutional layers to make them more efficient in terms of computational cost and memory usage, without sacrificing the performance of the network. It encompasses various methods such as depthwise separable convolutions and other reparameterization strategies aimed at reducing the number of parameters and improving the overall efficiency of convolutional neural networks.。

胶版印刷纸掉毛掉粉的影响因素与改进措施

胶版印刷纸掉毛掉粉的影响因素与改进措施

摘要:从纸张角度考虑,纸张印刷中出现掉毛掉粉受纤维结合力、纸张抗水性、纤维排列和清洁生产等影响较大。

从纤维原料结构、打浆和湿部助剂着手优化控制,改善表面施胶工艺,适当增加纸张抗水性,生产过程精细化控制、消除静电,减少纸毛纸粉等疏松物吸附,有利于改善掉毛掉粉。

关键词:掉毛掉粉;印刷表面强度;纤维结合力;抗水性;纤维形态Abstract: For offset printing paper, linting and dusting phenomenon is mostly affected by the bonding strength of fibers, water resistance of paper, arrangement of fibers and clean production. In order to solve these problems, we can optimize raw materials mix, beating and wet-end additives, improve surface sizing process, increase water resistance of paper, pursue delicacy control in production process, eliminate static electricity, reduce the absorption of loose materials.Key words: linting and dusting; surface strength with printing; fiber bonding strength; water resistance; fiber morphology胶版印刷纸掉毛掉粉的影响因素与改进措施⊙ 王子靖(山东太阳纸业股份有限公司,山东济宁 272100)Influencing factors and optimizing measures to linting and dusting for offset printing paper⊙ WANG Zi-jing (Shandong Sun Paper Co., Ltd., Jining 272100, Shandong, China)王子靖 先生助理工程师,工艺科长;负责车间生产工艺管理、技术优化、新产品开发和化验管理等工作。

英文 参数处理

英文 参数处理

英文参数处理Parameters handling in EnglishParameters handling is a crucial aspect of programming, as it involves managing and manipulating the data that is passed into a function or method. In this response, we will discuss the different ways in which parameters can be handled in English.One of the common ways to handle parameters in English is by using default parameters. Default parameters allow a function to be called with fewer arguments than it expects, by providing default values for those arguments. This can be useful in situations where certain arguments are optional or have common default values.Another important aspect of parameters handling is handling variable-length parameters. In English, this can be achieved using the 'args' and 'kwargs' syntax. 'args' allows a function to accept a variable number of positional arguments, while 'kwargs' allows a function to accept a variable number of keyword arguments. This flexibility can be very useful when dealing with functions that need to accept a variable number of inputs.It is also important to consider the order of parameters when handling them in English. In English, parameters are usually written in a specific order, with the required parameters coming first, followed by optional parameters. This convention helps make the function more readable and easier to use.Furthermore, handling parameters in English also involves naming conventions. It is important to use clear and descriptive names for parameters, so that the function's purpose and usage are easily understood. This can help improve the readability and maintainability of the code.In addition to handling parameters in functions, it is also important to consider parameter passing in English when dealing with object-oriented programming. In English, parameters can be passed to class constructors or methods using the 'self' keyword. This allows the class to access and manipulate its own data.Overall, parameters handling in English is a fundamental aspect of programming that plays a crucial role in the functionality and usability of code. By understanding the different ways in which parameters can be handled in English, developers can write more efficient and readable code.。

作文关于思考和行为的题目

作文关于思考和行为的题目

Thinking and Acting: The Dance of the Mindand BodyIn the intricate dance of life, two primary players constantly interact, influencing and being influenced by each other: thinking and acting. They are the yin and yang, the harmonious blend that creates the rich tapestry of human experience. While thinking is the internal dialogue, the无声的交流 within our minds, acting is the visible, tangible expression of those thoughts.Thinking is the architect of our world, the designer of our dreams and aspirations. It is the creative force that shapes our ideas, beliefs, and values. It is the enginethat drives us to explore, innovate, and question the norm. Whether it’s a scientist hypothesizing about the mysteries of the universe or an artist envisioning a new masterpiece, thinking is the spark that ignites the fire of creation.However, thinking alone is not enough. It needs a partner in crime, a counterpart that brings its ideas to life. That partner is action. Action is the executor of thoughts, the bridge between the abstract world of ideas and the concrete realm of reality. It is the dynamic forcethat turns dreams into reality, aspirations into achievements.Action, when coupled with thinking, transforms the ordinary into the extraordinary. It is the medium through which we express our thoughts, the tool we use to shape our world. Action is not just about doing; it’s about doing with purpose, with intention, and with passion. It’s about turning thoughts into actions that align with our values and goals.The dance of thinking and acting is a delicate one, requiring balance and harmony. Too much thinking without action can lead to paralysis by analysis, while too much action without thinking can result in chaos and disorder. The key is to find the perfect balance, to allow our thoughts to guide our actions while ensuring that those actions are rooted in reality and practicality.In conclusion, thinking and acting are two sides of the same coin. They are interconnected, interdependent, and inseparable. Thinking provides the vision and direction, while action brings that vision to life. Together, they create a powerful synergy that drives us forward, propelsus to new heights, and helps us achieve our dreams. As we navigate through the challenges and opportunities of life, let us remember that it is the dance of thinking and acting that will lead us to success and fulfillment.**思考与行动:心与身的舞蹈**在生活的复杂舞蹈中,有两个主要角色不断地相互作用,相互影响:思考和行动。

initialize_parameters

initialize_parameters

initialize_parameters IntroductionIn machine learning, initializing parameters is a crucial step in building a model. Parameters are the values that are updated during the training process to minimize the loss function. The initialization of parameters is the process of setting their initial values before training the model. In this article, we will discuss the importance of initializing parameters, different methods used for initializing parameters, and their impact on the model's performance.Why is initializing parameters important?Initializing parameters is important because it helps the model converge faster during the training process. It is essential to start with parameter values that are close to the optimal values. If the initial values are too far from the optimal values, the model will take a longer time to converge. Additionally, initializing parameters prevents the model from getting stuck in local minima. Local minima is a situation where the model is not ableto find the global minimum and gets stuck in alocal minimum. Initializing the parameters helps the model escape the local minima and reach the global minima.Different methods for initializing parameters1. Zero InitializationIn this method, all the parameters are initialized to zero. This method is not recommended as it leads to symmetry in the network. Symmetry in the network means that all the neurons in a layer will have the same weight values. There will be no change in the weights during the training process, leading to no learning.2. Random InitializationIn this method, the parameters are randomly initialized. The random values are generated from a uniform distribution, typically between -1 and 1. This method is better than the zero initialization as it leads to different values for every parameter, which helps in breaking the symmetry in the network. However, random initialization can have some negative impact on the model'sperformance. If the values are too large or too small, it can result in exploding or vanishing gradients. Exploding gradients refer to the situation where the gradients get larger and larger during the backpropagation process, making the model unstable. Vanishing gradients refer to the opposite situation, where the gradients become smaller and smaller, making the model convergence slower.3. Xavier InitializationXavier initialization is a method that initializes the weights of the network using a Gaussian distribution with zero mean and standard deviation (std) of sqrt(2 / n_in + n_out). Here,n_in refers to the number of input neurons in the layer, and n_out refers to the number of output neurons in the layer. This method specifically addresses the issue of exploding and vanishing gradients. The random values are scaled, so they always have an appropriate range of values considering the input and output layers' size.4. He InitializationHe initialization is similar to Xavier Initialization, except the std is now sqrt(2 /n_in). This method is better suited for activation functions like ReLU, which can lead to dead neurons with Xavier initialization. Dead neurons are the neurons in the network that are not able to learn during training because they get stuck on the negative side of the ReLU activation function.ConclusionIn conclusion, initializing parameters is a crucial step in building a machine learning model. Random initialization, Xavier initialization, and He initialization are some of the methods used for initializing parameters. It is essential to choose the right method of initializing parameters to ensure fast convergence, break the symmetry in the network, and avoid issues such as exploding and vanishing gradients.。

瞬间成皂法制备高抗水性A_K_D乳液

瞬间成皂法制备高抗水性A_K_D乳液

摘要:A K D中碱性施胶剂由于廉价、高效、提高纸张强度及耐久性等优点,一直是造纸行业广泛使用的抗水乳液。

本研究采用“瞬间成皂法”制备自乳化型AKD中性施胶剂,研究了在不同反应温度、反应时间、固含量和乳化剂用量及剪切速率条件下对制备的AKD乳液稳定性及抗水性的影响。

结果表明:当反应温度75 ℃、时间9 min、固含量10%、乳化剂用量5%、搅拌速率10,000 r/min时,乳液稳定性及施胶效果最好,Cobb值可以达到17.03 g/m 2。

关键词:AKD施胶剂;自乳化;影响因素;Cobb值;抗水性Abstract: AKD medium alkaline sizing agent has been widely used in the papermaking industry as a water-resistant emulsion thanks to its low cost, high efficiency, and ability to improve paper strength and durability. In this study, self-emulsifying AKD neutral sizing agent was prepared by instant soaping method. The effects of different reaction temperature, reaction time, solid content, emulsifier dosage and stirring rate on the stability and water resistance of the prepared emulsion were studied. The results showed that when the reaction temperature was 75℃, the reaction time was 9 min, the solid content was 10%, the amount of emulsifier was 5 %, and the stirring rate was 10000 r/min, the emulsion stability and sizing effect were the best, and the Cobb value could reach 17.03 g/m 2.Key words: AKD sizing agent; self-emulsification; influencing factors; cobb value; water resistance瞬间成皂法制备高抗水性AKD乳液⊙ 宋晓明1,3,4周家中2 王嘉乐1 曹子怡1 周心怡1 井智民3 杜增杰1 谢仕元3 陈夫山1 郭茂源4 高珊珊1*王学东3(1.青岛科技大学,山东青岛 266031;2.青岛海王纸业股份有限公司,山东胶南 266400;3.临沭县华星纸业有限公司,山东临沂 276000;4.青岛中宇环保科技集团有限公司,山东青岛 266031)Preparation of High Water-Resistant AKD Emulsion by Instant Soaping Method⊙ Song Xiaoming 1,3,4, Zhou Jiazhong 2, Wang Jiale 1, Cao Ziyi 1, Zhou Xinyi 1, Jing Zhimin 3, Du Zengjie 1, Xie Shiyuan 3, Chen Fushan 1, Guo Maoyuan 4, Gao Shanshan 1*, Wang Xuedong 3(1.Qingdao University of Science and Technology, Qingdao, Shandong 266031, China; 2.Qingdao Haiwang Paper Co., Ltd., Qingdao, Shandong 266400, China; 3.Linshu Huaxing Paper Co., Ltd., Linyi, Shandong 276000, China; 4.Qingdao Zhongyu Environmental Protection Technology Co., Ltd., Qingdao, Shandong 266031, China)□ 基金项目:山东省重点扶持区域引进急需紧缺人才项目——高抗水性生物质基材料的关键技术研发及产业化;山东省高等学校国家级大学生创新创业训练计划项目(No.202210426051)。

2023~2024学年广东省广州市天河区高二上学期期末考试英语试卷

2023~2024学年广东省广州市天河区高二上学期期末考试英语试卷

2023~2024学年广东省广州市天河区高二上学期期末考试英语试卷Have you ever got the feeling that your dog is judging you? Well, you’re in for a surprise because it’s actually your dog who might be viewing you with a critical eye. Eliza Fletcher and her colleagues wondered whether dogs might rate us in terms of our skillfulness, particularly when those skills might come in handy for our four-footed little friends. So they set up a simple experiment.They showed 60 dogs two persons opening containers. One person is competent. That person was able to pop open the top after just a couple of twists while the other person failed at this task. That person tried to open the lid, but then gave up. The actors repeated the performance on a second container, with the same results. Then the researchers handed both actors a third container. In some trials, this container was empty. In others, it contained a treat. And what they found was that female dogs spent more time staring expectantly at the person who had previously demonstrated container-opening know-how. And they were more likely to approach the competent person, but only when they thought they might get free food. Dogs in the empty condition showed no preferences.So, why would females be more careful observers of people’s performances than males? Female advantage in the social cognitive domain (认知领域) has been reported across many species including humans. In other words, in many cognitive studies, furry females seem to show a higher social IQ than males. And sex differences have been seen in other dog studies. For example, females look at their owners more frequently and longer than males when facing unsolvable task. Female dogs solve significantly more tasks than males in social learning task.So, next time Fifi looks at you with those puppy dog eyes, you might be thinking, what a good dog! But she might be thinking, eeem, you could do better.1. Why did Eliza Fletcher do the experiment?A.To figure out the rate of human skills.B.To prove dogs have better skills than humans.C.To test whether dogs judge human’s skillfulness.D.To find out whether some human skills are easy for dogs.2. How does the author develop paragraph 3?A.By making comparisons. B.By making inferences.C.By giving explanation. D.By analysing figures.3. What is the purpose of the last paragraph?A.To remind people of the research result.B.To entertain readers with a vivid picture.C.To prove that dogs are intelligent enough.D.To show close relation between men and dogs.The need of plus-size consumers has long been the elephant in the room of the fashion industry until body positivity and fat acceptance movements promoted that large-bodied people are not those who are left behind. This trend has become so popular that it is influencing mainstream culture. As a result, fashion brands have finally decided to expand their size ranges. In 2022, the plus-size market grew twice as fast as the standard size market in both North America and the UK.Yet, many consumers say fashion brands broadening their ranges are not truly inclusive (包容的). “Inclusive sizing means that all bodies are included in fashion, not just the ones who fit in standard sizes,” says Marie North, a UK-based journalist who covers body-image issues. “However, what many designers do right now is pick a number that they think is big enough to include plus sizes and stop. This is even more disrespectful.”Researchers also criticize (批评) that some brands are just taking advantage of the trend. “Brands that used to promote so-called perfect bodies in their advertisements are now trying to get in on the trend by adding a few sizes. It doesn’t feel like they really care about plus-size people,” says Michael Burgess, analyst in fashion industry. “If brands cared about large-bodied consumers, then it wouldn’t have taken until now to acknowledge that they exist,” he says. “It gives the impression that companies are just trying to gain a share of the market without a real devotion to the c ommunity.”The fashion industry must go beyond merely producing clothing in a range of sizes if they hope to succeed with a body-diverse world. The whole industry has to connect on a personal level with consumers. That involves showing shoppers that they are seen, understood and important to brands. “Consumers care about values, and so they want to buy from brands that reflect the values they believe in. Everyone should enjoy the same range of fashion choices,” says Ludovica Ospina, professor of marketing at the College of Business.4. What do the underlined words “the elephant in the room” in paragraph 1 mean?A.Hardly satisfied. B.Socially accepted.C.Widely promoted. D.Obvious but ignored.5. What is Marie North’s attitude towards the all-size trend?A.Unclear. B.Negative. C.Puzzled. D.Cautious.6. For what are some brands criticized by researchers?A.Their motivation. B.Their promotion.C.Their devotion. D.Their advertisement.7. What should fashion industry do in a body-diverse world?A.Provide more fashion choices.B.Show respect to the consumers.C.Produce clothes in various sizes.D.Build private relationships with customers.I still remember the first time I told my then-six-year-old son, Lev, that a clam makes calls with its “shell phone”. The laugh of recognition when he first got the joke was a moment I won’t ever forget. When I told it a second time in front of his friends Henry and Amir, I could see how proud he was that I had made his friends laugh. Excuse the showing off, but I was the cool dad.By Lev’s ninth birthday party, things had begun to change. After the seventh or eighth time I asked him “What do you call someone with no body and no nose?” he rolled his eyes. “I get it, Dad…” “…Nobody knows!” “Stop it, Dad!” I immediately shifted gears into food puns, but I got nothing except head shakes. I’m pretty sure I heard him say “Sorry about my dad” to his friends as they all ran off to play on their phones together.I used to be the life of every kids party. I was the one who always had a knock-knock joke at the party. Other parents loved that I could show up at any event and distract their kids with age-appropriate wordplay. Sure, there were other dads with their jokes, but I felt as if no one ever stole my crown.I tell you all this because after a lot of soul-searching, I believe it’s time. My kids aren’t grown and out of the house, but I’ve come to realize that I’ll never be able to compete with my past success. I need our relationship to grow. I need to be able to talk to my children about topics other than how a witch’s car goes “broom, broom”.Thus, I’m offering my series of jokes for sale. Puns, knock-knock jokes, goofy faces, and double takes. I’m done with them all, and it feels like the right time to sell my treasure t o some deserving new dad.Like all great works of art, my collection is priceless. But I can tell you that the first time you get your kids to laugh at the line “I don’t trust stairs. They’re always up to something,” you’ll feel it’s worth any price tag.8. Why did Lev lose interest in his father’s jokes?A.Because he no longer considered the jokes fun.B.Because the jokes were not as funny as before.C.Because his friends couldn’t understand the jokes.D.Because he preferred to play on phones with his friends.9. How does the writer feel about his jokes?A.Boring. B.Unique. C.Useless. D.Valuable.10. What is the best title for the text?A.A cool dad with lots of jokes. B.The pride of giving jokes to kids.C.For sale my collection of dad jokes. D.The best jokes popular among kids.Why do we need hobbies? A 2015 US study in a medical journal found that people were more positive, less bored, less stressed and had a lower heart rate when taking part in a leisure activity.Numerous other studies have shown that hobbies reduce stress, and boost mood, well-being, life satisfaction and even heart health. 11How do you choose the right hobby? Start with what you enjoyed in the past. 12 Take it up again or start something else which satisfies your competitive spirit or the fun you get from being part of a team, such as a local community group. Try something and if you find it isn’t for you, stop and take up something else.Which leisure activities do good for physical health? It’s clear that exercise can do. Even regular quick walking can bring workout, and it’s sociable too. 13 And a Swedish study found both gardening and DIY could reduce the risk of a heart attack or stroke by up to 30 per cent among over-sixties.Which hobbies help you relax? Getting ou t in nature is great for reducing stress, whether you’re hiking or doing something less active. Yoga can lift mood and ease depression, as well as improve strength and heart health. Music, whether that’s playing the piano or listening to your favourite band, can also relieve depression and anxiety. 1415 Learning a language or an instrument and reading may lead to a lower risk of dementia (痴呆). Older choir singers have better language ability, showing better cognitive ability, than people of a similar a ge who don’t sing in a choir, according to a recent Finnish study. Research has found that dancing is also good for your brain.Three years have passed, but my amazing China experience is still fresh. Teaching English and working in a French Bar in Guangdong were great _________ and could only be _________ by studying at the Nanjing University. Not only did I meet my Spanish boyfriend, but it would change my _________. And I decided to pick one that I love to tell my friends and family back home in Germany.Last year I visited the Yellow Mountain for a hike. My _________ and me prepared our back bags and were _________ to find accommodation. So we didn’t bother to reserve a hotel room.The hike was one of a kind already. I am not a(n) _________ hiker and those endless steps made me just want to return to _________and comfortable ground. But with the help of my boyfriend, I pulled myself together and kept going.After a _________ hike to the top, we found a hotel that looked very inviting. Having been in China for two years, I felt _________ enough to book a room for us in Chinese. When the clerk told meone double room would be __________ for 1500 RMB, that took my breath away. Quite an amount of money for a __________! After asking for a cheaper version, which was a separated dormitory for 500 RMB, I was about to __________. Especially after this hike, I was only __________ a relaxing bed. As a last resort (手段), I asked for the __________ of a tent. Bingo!The hotel’s owner sold tents for 80 RMB. He was so friendly that he even offered to __________ for us. The location he __________ was right in front of the hotel. We two sitting like dogs outside__________ a great photo for many Chinese who happened to have their cameras with them. Of course, we were at one of the most beautiful scenic places in China, but never had we __________ someday we could be part of it. We spent a comfortable night and at 5 am woke up to see the incredible sunrise. __________, we continued to explore and proceeded walking all the steps back down to ground.All in all, this is just one unforgettable adventure like so many others during my stay in China. I am now living in __________, a country that I would have never come across if I hadn’t decided to go to China. You just never know where life takes you.16.A.risks B.jobs C.adventures D.opportunities 17.A.topped B.replaced C.proved D.ended18.A.career B.life C.view D.personality19.A.classmate B.partner C.boyfriend D.family20.A.sure B.ready C.anxious D.willing21.A.brave B.ordinary C.strong D.traditional22.A.soft B.clean C.dry D.safe23.A.tiring B.frightening C.time-consuming D.heart-breaking 24.A.happy B.confident C.interested D.excited25.A.suitable B.reasonable C.affordable D.available26.A.foreigner B.visitor C.hiker D.student27.A.flee away B.laugh out C.lose heart D.go bananas28.C.getting used to D.making room for A.picking out B.looking forwardto29.A.size B.price C.location D.possibility30.A.take it out B.put it up C.put it away D.fix it up31.A.preferred B.found C.confirmed D.suggested32.A.offered B.took C.designed D.chose33.A.hoped B.imagined C.believed D.admitted34.A.Therefore B.However C.Afterwards D.Besides35.A.Spain B.China C.France D.Germany阅读下面短文,在空白处填入1个适当的单词或括号内单词的正确形式。

探究影响玻璃纤维合股纱可燃物含量的因素

探究影响玻璃纤维合股纱可燃物含量的因素
Exploring the Factors Affecting the Combustible Content of Glass Fiber Assembled Roving
Feng Zhimin (Xingtai Jinniu Fiber Co., Ltd., Xingtai 054000)
Abstract: The combustible content is one of the main quality control criteria of glass fiber assembled roving, which directly affects the quality of the product. The main factors influencing the combustible content of glass fiber assembled roving include the particle size of raw materials of sizing agent, the fiber drawing geometry, the linear speed of sizing roller and the solid content in sizing agent, etc. This paper mainly explores the influences of the above four factors on the combustible content of glass fiber assembled roving. Key words: combustible content; particle size of raw materials of sizing agent; fiber drawing geometry; linear speed of sizing roller; solid content

数学专业英语翻译3.4.5

数学专业英语翻译3.4.5

3.4数学的应用与应用数学3.4.5Construction of mathematical model(建立数学模型)In the preceding discussion we viewed modeling as a process and considered briefly the form of the model.Now let's focus attention on the construction of mathematical models.(在前面的讨论中,我们将建模视为一个过程,并简要地仔细思考了模型的形式。

现在让我们把注意力集中在数学模型的构建上。

)We begin by presenting an outline of a peocedure that is helpful in constructing models.In the next section,we illustrate the various steps in the procedure by discussing several real-world examples.(我们首先介绍一种有助于构建模型的概述。

在下一节中,我们通过讨论几个实际示例来说明过程中的各个步骤。

)STEP1Identify the problem(确定问题)What is the problem you would like to explore?Typically this is a difficult step because in real-life situations no one simply hands you a mathematical problem to solve.(你想探索的问题是什么?通常这是一个困难的步骤,因为在现实生活中,没有人只是给你一个数学问题来解决。

)Usually you have to sort through large amounts of data and identify some particular aspect of the situation to study.Moreover,it is imperative to be sufficiently precise(ultimately)in the formulation of the problem to allow for translation of the verbal statements describing the problem into mathematical symbology.(通常你必须对大量数据进行排序,并确定要研究的某些特定情况。

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Water Resour Manage(2010)24:2381–2403DOI10.1007/s11269-009-9557-4Parameters Influencing the Sizing of Rainwater Tanksfor Use in HousesEnedir GhisiReceived:19November2008/Accepted:6December2009/Published online:18December2009©Springer Science+Business Media B.V.2009Abstract Rainwater harvesting has been studied in different countries as a way of easing water availability problems and reducing potable water demand in buildings. The most important factor relating to the efficiency of a rainwater system is the cor-rect sizing of the rainwater tank.Therefore,the objective of this article is to assess the influence of rainfall,roof area,number of residents,potable water demand and rain-water demand on rainwater tank sizing.The analysis was performed by using com-puter simulation and by considering daily rainfall data for three cities located in the state of São Paulo,Brazil.The roof areas considered were50,100,200and400m2; the potable water demands were50,100,150,200,250and300l per capita per day; the rainwater demands were taken as a percentage of the potable water demand, i.e.,10%to100%at increments of10%;and the number of residents was two and four.Results indicated a wide variation of rainwater tank sizes for each city and also for each parameter.The main conclusion that can be made from the study is that rainwater tank sizing for houses must be performed for each specific situation,i.e., considering local rainfall,roof area,potable water demand,rainwater demand and number of residents.Therefore,sizing rainwater tanks according to local tradition is not recommended as it may incur low efficiency.Keywords Rainwater tank sizing·Computer simulations·Houses·Sustainable development1IntroductionRainwater harvesting,amongst other strategies,has been studied in different coun-tries as a way of easing water availability problems.It can be found in the literature E.Ghisi(B)Laboratory of Energy Efficiency in Buildings,Department of Civil Engineering,Federal University of Santa Catarina,Florianópolis,SC,88040-900,Brazile-mail:enedir@labeee.ufsc.br2382 E.Ghisi that rainwater is being used,for example,in hotels in China(Deng2003),schools in Taiwan(Cheng2003;Cheng and Hong2004;Wung et al.2006),houses and residential buildings in Germany(Herrmann and Schmida1999),houses in Australia (Coombes et al.1999)and in the UK(Fewkes1999a),amongst others.There have been studies on rainwater treatment as well(Kim et al.2005,2007;Nolde2007; Panigrahi et al.2007).However,there is little information on rainwater tank sizing (Fewkes1999b;Appan1999;Domínguez et al.2001;Ghisi et al.2007;Van Zyl et al.2008).The correct sizing is important in order to avoid extra costs when the tank is over sized and avoid low efficiency when it is under sized.The accurate sizing of rainwater tanks is a function of rainfall,roof area,potable water demand,rainwater demand,and number of residents.Thus,this study contributes to improving the knowledge about the influence of such parameters on rainwater tank sizing for houses.2ObjectivesThe main objective of this article is to assess the influence of parameters such as rainfall,roof area,number of residents,potable water demand and rainwater demand on rainwater tank sizing for houses.3MethodologyThe research was based on the estimation of rainwater tank capacities and the corresponding potential for potable water savings by using computer simulation.The methodology applied to accomplish the objectives of this research is as follows.3.1Study AreaThe analyses were performed by considering daily rainfall for three cities located in the state of São Paulo,that is,Itaquaquecetuba,Espírito Santo do Pinhal,and Santos. Their location can be seen on the map shown in Fig.1.These cities were selected due to the availability of long-run rainfall data.Any other cities around the world could have been selected for the analysis as the objective of this study is to evaluate the influence of some parameters on the rainwater tank sizing for use in houses.It is not intended to assess problems related to water availability,water resources and type of climate.3.2RainfallDaily rainfall data for the three cities were obtained from the Department of Water and Electricity of São Paulo(2004).The data for the three cities ranged from1936 to2000,but did not cover the same period;and for some short periods there were some missing data.Such missing data and also rainfall less than or equal to1mm a day were assumed to be zero.Such an assumption implies that the potential for potable water savings that can be obtained in real situations over the three cities can be slightly higher than thefigures shown in this article.Parameters Influencing the Sizing of Rainwater Tanks in Houses2383-10-20-3070605040Fig.1Map of Brazil with location of the three cities considered in the study3.3Roof AreaIn order to take different roof areas into account,four roof areas were considered, i.e.,50,100,200and400m2.3.4Potable Water DemandAverage potable water demand in Brazil ranges from85to232l per capita per day (SNIS2004).Therefore,potable water demands of50,100,150,200,250and300l per capita per day were considered in the research.The variation of water demand along the year is an important issue regarding the performance of the system.Thus, such a variation of water demands intends to cover the different water consumption regarding the season.3.5Rainwater DemandRainwater was taken into account as a percentage of the potable water demand, i.e.,10%to100%at increments of10%.Rainwater quality should be evaluated and it should go through proper treatment in case it is meant to be used for potable purposes,such as drinking,cooking,etc.However,this is not a concern in this study as it is a theoretical analysis only to evaluate the influence of some parameters on the rainwater tank sizing.Table1Summary on rainfall for the three citiesCity Period taken into Days Years Average rainfallaccount(mm/year) Itaquaquecetuba1943–200021,186581,380Espírito Santo do Pinhal1936–200023,521641,537Santos1937–199922,998633,3212384E.GhisiFig.2Daily rainfall inItaquaquecetuba for a 10-yearperiod50100150200250300136572910931457182121852549291332773641DaysD a i l y r a i n f a l l (m m )Fig.3Daily rainfall inEspírito Santo do Pinhal for a 10-yearperiod50100150200250300136572910931457182121852549291332773641DaysD a i l y r a i n f a l l (m m )Fig.4Daily rainfall in Santos for a 10-yearperiod50100150200250300136572910931457182121852549291332773641DaysD a i l y r a i n f a l l (m m )Parameters Influencing the Sizing of Rainwater Tanks in Houses 23853.6Number of ResidentsTo evaluate the influence that the number of residents has on the rainwater tank sizing,two and four people were considered.3.7Computer SimulationsThe rainwater tank sizing and potential for potable water savings were estimated by using the algorithm of the Neptune computer programme (Ghisi and Trés 2004).TheRainwater demand (% of potable water demand)51015202530Rainwater tank capacity (1000 litres)P o t e n t i a l f o r p o t a b l e w a t e r s a v i n g s (%)(a)51015202530Rainwater tank capacity (1000 litres)P o t e n t i a l f o r p o t a b l e w a t e r s a v i n g s (%)(b)Fig.5Potential for potable water savings as a function of rainwater tank capacity and rainwaterdemand in Itaquaquecetuba for roof area of 50m 2and two residents:a Potable water demand of 50l per capita per day,b Potable water demand of 300l per capita per day2386 E.GhisiFig.6Rainwater tank capacity as a function of rainwater demand,potable water demand,roof areaand number of residents in houses located in Itaquaquecetuba:a Roof area of50m2and two people,b Roof area of50m2and four people,c Roof area of100m2and two people,d Roof area of100m2and four people,e Roof area of200m2and two people,f Roof area of200m2and four people,g Roof area of400m2and two people,h Roof area of400m2and four peoplewater balance model used in Neptune is neither the yield after spillage(YAS)nor the yield before spillage(YBS)(Fewkes1999b).Neptune was developed to estimate the potential for potable water savings for different rainwater tank capacities when there is rainwater usage in residential buildings under the rainfall of Florianópolis,a city located in southern Brazil. Therefore,Neptune could not be used in this study.Alternatively,its algorithm was applied on spreadsheets where rainfall data for Florianópolis were replaced by the rainfall data for the three cities considered in the analysis.3.7.1Input DataInput data needed to run Neptune are daily rainfall data,daily potable water demand per capita,daily rainwater demand as a percentage of potable water demand,number of residents,roof area,rainwater tank capacity and run-off coefficient.Rainfall, roof area,potable water demand,rainwater demand and number of residents were investigated using the ranges explained above.The run-off coefficient accounts for the rainwater that is disposed of at the beginning of a rainfall in order to avoid debris into the tank and pipes,and also for losses due to absorption and evaporation of rainwater by reaching the catchment surface.Run-off coefficient was assumed to be 80%in all simulations.As for the rainwater tank capacities,simulations were performed considering capacities ranging from1,000to35,000l at increments of1,000l.The ideal tank capacity was taken as the one in which the potential for potable water savings increased2%or less when increasing the tank capacity by1,000l.3.7.2The AlgorithmThe algorithm used in this research considers data on a daily basis.The rainwater that flows daily on the catchment surface is conducted to the rainwater tank.Prior to that, rainwater losses(run-off coefficient)are discarded.If the rainwater tank capacity is exceeded,rainwater demand is supplied and the overflow is discarded.If not,daily rainwater demand is supplied partly or totally by the water utility.Equations below help to understand the procedure.First,the volume of rainwater harvested is estimated by using Eq.1.H t=P t×A×C p(1) where H t is the volume of rainwater harvested at time t(litres/day per house),P t is the local rainfall at time t(mm/day=litres/m2per day),A is the roof area of each house(m2),C p is the run-off coefficient,which was assumed to be0.8to represent losses of20%(non-dimensional).Then,the volume of rainwater consumed daily and the volume of rainwater available in the rainwater tank are estimated at the same time by using Eqs.2and3, respectively.Thus,the volume of rainwater harvested daily is summed to the volumeParameters Influencing the Sizing of Rainwater Tanks in Houses2387Potable water demandRainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(a)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(b)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(c)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(d)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(e)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(f)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(g)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(h)2388E.GhisiPotable water demandRainwater demand (% of potable water demand)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(a)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(b)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(c)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(d)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(e)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(f)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(g)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(h)Parameters Influencing the Sizing of Rainwater Tanks in Houses2389 Fig.7Rainwater tank capacity as a function of rainwater demand,potable water demand,roof area and number of residents in houses located in Santos:a Roof area of50m2and two people,b Roof area of50m2and four people,c Roof area of100m2and two people,d Roof area of100m2and four people,e Roof area of200m2and two people,f Roof area of200m2and four people,g Roof area of400m2and two people,h Roof area of400m2and four peopleof rainwater available in the tank;from such whole volume,the volume of rainwater consumed daily is subtracted.If such summing results in a volume greater than the rainwater tank capacity,the excess is discarded.C t=minD p×D×nVt−1+H t(2)where C t is the volume of rainwater consumed in each house at time t(litres/day per house),D p is the daily rainwater demand taken as a percentage of the potable water demand(non-dimensional),D is the daily potable water demand(litres per capita/day),n is the number of residents in the house,V t−1is the volume of rainwater available in the rainwater tank at time t-1(litres),and H t is the volume of rainwater harvested in each house at time t(litres/day per house).The product D p×D×n represents the daily rainwater demand(in litres)and should be less than or equal to the volume of rainwater available in the tank.V t=maxminV t−1+H t−C tV−C t(3)where V t is the volume of rainwater available in the rainwater tank at time t(litres), V t−1is the volume of rainwater available in the rainwater tank at time t-1(litres),H t is the volume of rainwater harvested in each house at time t(litres/day per house),C t is the volume of rainwater consumed in each house at time t(litres/day per house), and V is the rainwater tank capacity(litres).The potential for potable water savings was estimated by dividing the total volume of rainwater consumed over the period to the total potable water demand over the same period,as shown in Eq.4.E=100dt=1C tD×n×d(4)where E is the potential for potable water savings by using rainwater(%),d is the total number of days considered in the analysis,D is the daily potable water demand (litres per capita/day),n is the number of residents in the house,C t is the volume of rainwater consumed in each house at time t(litres/day per house).3.7.3Parametric AnalysisBy using the algorithm described above,simulations were performed for all com-binations of roof area,potable water demand,rainwater demand and number of residents.For each city,480results of rainwater tank capacity and corresponding potential for potable water savings were obtained.2390E.GhisiPo table water demandRainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(a)P o t a b l e w a t e r s a v i n g s (%)(b)P o t a b l e w a t e r s a v i n g s (%)(c)P o t a b l e w a t e r s a v i n g s (%)(d)P o t a b l e w a t e r s a v i n g s (%)(e)P o t a b l e w a t e r s a v i n g s (%)(f)P o t a b l e w a t e r s a v i n g s (%)(g)P o t a b l e w a t e r s a v i n g s (%)(h)Parameters Influencing the Sizing of Rainwater Tanks in Houses2391 Fig.8Potential for potable water savings as a function of rainwater demand,potable water demand, roof area and number of residents in houses in Itaquaquecetuba:a Roof area of50m2and two people,b Roof area of50m2and four people,c Roof area of100m2and two people,d Roof area of100m2and four people,e Roof area of200m2and two people,f Roof area of200m2and four people,g Roof area of400m2and two people,h Roof area of400m2and four people3.8CorrelationsIn order to try to obtain conclusive results and provide some guidance concerning rainwater tank sizing,some correlations were investigated:1.between rainwater tank capacity and potable water demand,2.between potential for potable water savings and rainwater tank capacity,3.between rainwater demand per roof area and rainwater tank capacity,4.between rainwater demand per roof area and potable water savings,and5.between rainwater tank capacity and the ratio between rainwater demand andrainwater availability,which is a factor obtained by using Eq.5.Such a factor represents the ratio between rainwater demand and rainwater availabil-ity on an annual basis.Therefore,such a factor comprises all parameters considered in this study,i.e.,rainfall,roof area,number of residents,potable water demand and rainwater demand.F=D p×D×n×365A×P a(5)where F is the factor that represents the ratio between rainwater demand and rainwater availability on an annual basis(non-dimensional),D p is the daily rainwater demand taken as a percentage of the potable water demand(non-dimensional),D is the daily potable water demand(litres per capita/day),n is the number of residents in the house,A is the roof area(m2),P a is the local average annual rainfall(m/year). 4ResultsRainwater tank capacities and the corresponding potential for potable water savings were obtained from the computer simulations.The following analyses are based on such results and also on correlations between them and the parameters used as input data for the computer simulations.4.1RainfallDaily rainfall used in the simulations comprised periods ranging from21,186to 23,521days,i.e.,58to64years.Table1shows a summary on rainfall data for the three cities.The three cities were selected for the analysis not only on the basis of long-run data series,but also because of their variation in rainfall amounts.Itaquaquecetuba and Espírito Santo do Pinhal have a similar rainfall pattern,while Santos has a much higher rainfall.Figures2,3and4show daily rainfall for the three cities for a10-year period.A fairly short dry season is observed in the three cities.2392E.GhisiPotable water demandP o t a b l e w a t e r s a v i n g s (%)(a)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(b)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(c)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(d)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(e)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(f)Rainwater demand (% of potable water demand)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(g)Rainwater demand (% of potable water demand)P o t a b l e w a t e r s a v i n g s (%)(h)Parameters Influencing the Sizing of Rainwater Tanks in Houses 2393Fig.9Potential for potable water savings as a function of rainwater demand,potable water demand,roof area and number of residents in houses in Santos:a Roof area of 50m 2and two people,b Roof area of 50m 2and four people,c Roof area of 100m 2and two people,d Roof area of 100m 2and four people,e Roof area of 200m 2and two people,f Roof area of 200m 2and four people,g Roof area of 400m 2and two people,h Roof area of 400m 2and four people4.2Computer SimulationsFigure 5shows some results obtained from the simulations.As an example,results are shown for the city of Itaquaquecetuba,roof area of 50m 2,two residents,rainwater demand ranging from 10%to 100%of the potable water demand,and potable water demand of 50l per capita per day (Fig.5a)and 300l per capita per day (Fig.5b).It can be observed that for potable water demand of 50l per capita per day,the potential for potable water savings tends to be similar to the rainwater demand.If the rainwater demand is,for example,50%of the potable water demand,the potential for potable water savings is also 50%when the tank capacity is greater than 5,000l.However,when the potable water demand is 300l per capita per day (Fig.5b),the maximum potential for potable water savings that can be obtained is approximately 25%for any rainwater demand greater than 20%of the potable water demand.This is due to high rainwater demand and small roof area.From results like those shown in Fig.5,it was possible to obtain the ideal rainwater tank capacity for each case.In Fig.5a,for example,when the rainwater demand is 50%of the potable water demand,the tank capacity considered ideal was 3,000l (giving a potable water saving of 48.17%),because the potable water saving obtained with a tank of 4,000l is 49.07%(a 1.87%difference,which is less than the limit of 2%as discussed in the methodology).With a tank of 2,000l,the potable watersaving012345678910110200400600800100012001400Potable water demand (litres per house per day)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )Fig.10Correlation between ideal rainwater tank capacity and potable water demand for the three cities together2394 E.Ghisiis 46.53%,i.e.,3.52%lower than the saving obtained with a tank of 3,000l;as the difference is greater than 2%,the 2,000-l tank was not taken as the ideal one.Figure 5is given as an example of the results generated from the computer simu-lations.In all other simulations,the ideal rainwater tank capacities were obtained directly from the calculations on spreadsheets.Tank capacities were changed at 1000-litre increment and the corresponding potential for potable water saving was observed;if such potential was less than or equal to 2%,the previous tank capacity was taken as ideal.4.2.1Rainwater Tank CapacityFigures 6and 7show the rainwater tank capacities obtained for the cities of Itaquaquecetuba,and Santos,respectively.Results are shown as a function of potable water demand,rainwater demand,roof area and number of residents.Coefficients of determination (R 2)for the curves ranged from 0.7569to 0.9972.Results for Espírito Santo do Pinhal are not shown as they are similar to those obtained for Itaquaquecetuba.It can be observed that there is not a clear trend for the variation of tank capacity as a function of potable water demand,rainwater demand,roof area and number of residents.In general,for roof area greater than 100m 2,rainwater tank capacity tends to be larger as the potable water demandincreases.100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(a)100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(b)0100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(c)0100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(d)Fig.11Correlation between potable water savings per house and ideal rainwater tank capacity:a The three cities together,b Itaquaquecetuba,c Espírito Santo do Pinhal,d SantosParameters Influencing the Sizing of Rainwater Tanks in Houses 2395However,for small roof area and lower rainfall (such as in Itaquaquecetuba),tank capacity decreases as potable water demand and rainwater demand increase.This shows that there is no need to increase the tank capacity because,as the roof area is low and demand is high,it is not possible to supply all the rainwater demand.This was identified for the cities of Itaquaquecetuba (Fig.6a,b)and Espírito Santo do Pinhal,and Santos (Fig.7b).4.2.2Potential for Potable Water SavingsThe potential for potable water savings are shown in Figs.8and 9for Itaquaque-cetuba and Santos,respectively.Such potentials correspond to each tank capacity shown in Figs.6and 7.Results for Espírito Santo do Pinhal are not shown as they are somewhat similar to those obtained for Itaquaquecetuba.In general it can be noticed that:•for larger roof areas and low number of residents,the potential for potable water savings is reached more easily.For example,in Fig.8a,for a roof area of 50m 2and two residents,when the rainwater demand is 50%of the potable water demand,one can reach a 50%saving if the potable water demand is 50l per capita per day.On the other hand,when the potable water demand is 300lper0100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(a)0100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(b)1234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(c)0100200300400500600700800900100001234567891011Rainwater tank capacity (1000 litres)P o t a b l e w a t e r s a v i n g s (l i t r e s /d a y )(d)Fig.12Correlation between potable water savings per house and ideal rainwater tank capacity for the four roof areas of Itaquaquecetuba:a Roof area of 50m 2,b Roof area of 100m 2,c Roof area of 200m 2,d Roof area of 400m 22396 E.Ghisicapita per day,savings are less than 25%,which means that there is not enough rainwater to supply the rainwater demand.By increasing the roof area to 400m 2(Fig.8g),the saving increases to approximately 45%when the rainwater demand is 50%of the potable water demand (300l per capita per day).•the lower the potable water demand,the higher the potable water savings by using rainwater;such savings increase as the roof area increases and the number of residents decreases.•the potential for potable water savings increases as the rainfall increases.Such potentials are higher in Santos than in the other two cities (for rainfall figures see Figs.2,3and 4).4.3CorrelationsIn order to try to obtain conclusive results from the simulations and provide some guidance on rainwater tank sizing,some correlations were investigated.4.3.1Rainwater Tank Capacity and Potable Water DemandCorrelation between ideal rainwater tank capacity and total potable water demand per house,when considering all simulation results together,was inadequate asshown012345678910110510152025Daily rainwater demand (litres per house/m 2)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(a)012345678910110510152025Daily rainwater demand (litres per house/m 2)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(b)510152025Daily rainwater demand (litres per house/m 2)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(c)0510152025Daily rainwater demand (litres per house/m 2)R a i n w a t e r t a n k c a p a c i t y (1000 l i t r e s )(d)Fig.13Correlation between rainwater demand (per house and roof area)and ideal rainwater tank capacity:a The three cities together,b Itaquaquecetuba,c Espírito Santo do Pinhal,d Santos。

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