Incremental Architectural Modeling and Verification of Real-Time Concurrent Systems 1
ARCHITECTURAL MODEL 建筑模型—从概念到演示1.2
转自: 专筑网 ARCHITECTURAL MODEL 建筑模型—从概念到演示1.2
模型:既是一种交流工具,也是设计概念开发的一种方式。
建筑的发展历史和模型制作共同经历了丰富多彩的发展历史,这并不是偶然,因为模型在建筑设计中所起到的作用是无法替代的。
没有模型的帮助,我们无法想象建筑师和委托方可以成功的、快速而有效的理解设计的本质目的.
此外,最重要的模型常常引发我们对事物的深刻思考。
我们常常通过模型的制作
和评估过程不断改善我们的设计方案.本透过精选全球优秀事务所的模型设计包揽了几乎所有重要事务所的最重要的建筑模型,将会极大的启发建筑设计师、模型设计师。
本必将成为建筑事务所必备的工具。
architectural paradigm 建筑范式
architectural paradigm 建筑范式Architectural paradigm refers to the fundamental principles and beliefs that guide the design and construction of buildings. It encompasses the underlying concepts, styles, and techniques that shape the overall architectural vision of a structure. In essence, architectural paradigm sets the framework for how buildings are conceived, planned, and executed.One of the key aspects of architectural paradigm is the notion of form following function. This principle, popularized by the renowned architect Louis Sullivan, emphasizes the idea that the design of a building should be dictated by its intended purpose. In other words, the function of a building should inform its form, ensuring that the design is not only aesthetically pleasing but also practical and efficient.Another important element of architectural paradigm is the concept of contextualism. This approach emphasizes the importance of considering the cultural, historical, and environmental context in which a building is situated. By taking into account the surrounding context, architects can create structures that harmonize with their surroundings and contribute to the overall sense of place.Architectural paradigm also encompasses the use of innovative materials and technologies. As new materials and technologies become available, architects have the opportunity to push the boundaries of design and construction. From the use of sustainable materials to the incorporation of cutting-edge building techniques, the architectural paradigm is constantly evolving to embrace new possibilities and challenges.Furthermore, architectural paradigm plays a crucial role in shaping the aesthetic qualities of a building. Whether drawing inspiration from classical architecture, modernist design principles, or futuristic visions, the architectural paradigm sets the tone for the visual language of a structure. By defining the overall style, proportions, and details of a building, the architectural paradigm helps to create a cohesive and harmonious design.In conclusion, architectural paradigm is a multifaceted concept that encompasses the fundamental principles, styles, and techniques that guide the design and construction of buildings. By incorporating elements such as form following function, contextualism, innovation, and aesthetics, architects are able to create structures that not only meet the needs of their users but also contribute to the built environment in meaningful and lasting ways. As the architectural paradigm continues to evolve, architects will be challenged to push the boundaries of design and construction, creating buildings that are not only functional and efficient but also beautiful and inspiring.。
关于仿生建筑的例子双语
关于仿生建筑的例子双语1.In Order To Enlighten The Architectural Creation,As Well As To Satisfy The Sustainable Development And The Ecological Equivalence For The City Environment,The Bionic Architecture Is An Important Ecology And Social Ecosystem With The Architectural Technique.建筑仿生学是根据自然生态与社会生态规律,并结合建筑科学技术特点而进行综合应用的科学。
2.Inspiration From Nature--Bionic Structure Aesthetics灵感从自然中来——仿生建筑结构美学3.Orient And Occidental Architecture Imitating And Analogizing Differentia Compare And Development Research;中西方建筑仿生差异比较与发展研究4.By Biological Modeling Element In China Architectural Design Application;论仿生元素在中国建筑设计中的应用5.It Is An Aladdin's Cave For Students Of Architecture.这是建筑学学生的宝库。
6.A Tract: Bionic Architecture Becomes A New Tendency In The Late20 Th Century.建筑仿生已成为一种新时代潮流,也是建筑文化的新课题。
7.Mr XuZhong S Educational Philosophy Of Architecture, And The Architectural Department Of TianJin University;徐中先生的建筑教育思想与天津大学建筑学系8.The Relation Of The Connection Of Geomantic Omen Theory, The Sight Architecture And The Construction Bionomics;传统风水理论与景观建筑学、建筑生态学之关系9.The Magic Arts Nature Great Significance:Plastic Arts Of Bionic Architecture道法自然意味隽永——仿生建筑的造型艺术cational Mode Of Architectural And Urban Design Based On Simulation Technology建筑与城市设计专业的虚拟仿真教学模式探索11.The Relationship Between The Architecture Ecological Aesthetics And The Sustainable Development;建筑生态美学与建筑的可持续发展关系12.The Quality-Oriented Education In The Teaching Of The Course Of The History Of Chinese Architecture;论《中国建筑史》课程与建筑专业学生的素质教育13.Tactics To Improve The College Students' Architectural Design Abilities Of Architectural Decoration Specialty浅议建筑装饰专科学生建筑设计能力的培养14.Eco-Architecture, Emerging From The Integration Of Traditional Architectural Philosophy And Ecological Rationale;生态建筑学:传统建筑学思想与生态学理念融合的结晶15.At A Technical College Students Learn Such Subjects As Engineering,Building,Etc.在技校,学生学习诸如工程、建筑等课程。
Ch2. Models of Innovation
Explains why incumbents may fail at incremental innovations and why they may succeed at radical innovation.
Explains why some incumbents are the first to embrace radical innovations.
STATIC MODELS (continues) Model
Abernathy-Clark
Key features
Unbundled technological and market knowledge. Highlights the importance of market capabilities. Unbundled technological knowledge into component and architectural. Defines innovation as: incremental if both architectural and component knowledge are enhanced; architectural if component knowledge is enhanced but architectural knowledge is destroyed.
Large firms with some degree of Suggests the type of firm monopoly power are the most likely is what matters. to innovate.
Static Models
• • • • • • • • • • Incremental vs radical innovation Abernathy-Clark Henderson-Clark Innovation Value-added Chain Strategic Leadership Familiarity Matrix Quality and Quantity of New Knowledge Appropriability and Complementary Assets Local Environment Strategic Choice
天津理工大学-软件工程总结考试
大学啊不错啊,好好学习,不要耽误了青春,但是是这个专业坑爹啊,,找好自己的方向,不要被这个专业误导了啊,,理工的学妹,学弟们,你说呢,,哈哈哈哈,嘿嘿联系/软件过程的步骤或基本活动:1.软件描述2.软件设计和实现 3.软件有效性验证 4.软件进化软件生命周期或软件需求过程 1.需求分析和定义2.系统和软件设计3.实现和单元测试4.集成和系统测试5.运行和维护增量式开发过程的好处是:1客户无需等到整个系统的实现。
第一个增量会满足他们大多数关键的需求,因此,软件马上就能使用。
2.客户可以将早期的增量作为原型,从中获得对后面系统增量的需求经验。
3.项目总体性失败的风险比较低。
虽然可能在一些增量中遇到问题,但是其他一些增量将会成功的交付给客户4.因为具有最高优先权的服务被首先交付,而后面的增量也不断被集成进来,这就使得最重要的系统服务肯定接受了最多的测试。
这就意味着在系统的最重要的部分,客户不太可能遇到软件失败。
第一章软件工程和计算机科学的区别:计算机科学侧重理论和基础,而软件工程则侧重于软件开发和交付的实际活动软件工程和系统工程的区别:系统工程侧重基于计算机系统开发的所有方面,包括硬件,软件,和处理工程。
软件工程只是它的一部分1.软件是计算机程序和所有使程序正确运行所需要的相关文档和配置信息软件产品分为:Generic通用、Bespoke (custom)定制2、软件工程是一门工程学科,涉及软件生产的各个方面。
软件工程人员运用的是系统的、有组织的工作方法。
6、软件过程模型从特定角度提出的软件过程的简化表示形式Examples of process perspectives are工作流模型数据流或活动模型角色/动作模型软件开发模型Waterfall瀑布型开发方法Iterative development迭代式开发方法Component-based software engineering(CBSE)基于组件的软件工程7、the costs of software engineering软件工程的成本软件开发成本约占60%,测试成本占40%。
Briefly describe the properties
1.Briefly describe the properties (advantages and/or disadvantages) ofwaterfall model and incremental model.瀑布模型优点:(1)可强迫开发人员采用规范化的方法(2)严格地规定了每个阶段必须提交的文档(3)要求每个阶段交出的所有产品都必须是经过验证的缺点:(1)由于瀑布模型几乎完全依赖于书面的规格说明,很可能导致最终开发出的软件产品不能真正满足用户的需要(2)只适用于项目开始时需求已经确定的情况增量模型优点:(1)能在较短时间内向用户提交完成一些有用功能的工作产品(2)逐步增加产品的功能可以使用户有较充裕的时间学习和适应新产品(3)项目失败的风险较低(4)优先级最高的服务首先交付,然后再将其他增量构件逐次集成进来,这意味着,最重要的部分将接受最多的测试缺点:(1) 与其他模型相比,需要更精心的设计2.Briefly describe the following requirement modeling notations, data-flowdiagram(DFD) and event trace. And which UML diagrams can be use to represent them, respectively?数据流图(DFD):对功能以及从一个功能到另一个功能的数据流建模。
对应UML中的用例图。
事件踪迹:关于现实世界实体之间交换的事件序列的图形描述。
对应UML 中的序列图3.What is component cohesive? List three types of component cohesive.构件内聚:一个构件功能强度的度量。
分为:巧合内聚、逻辑内聚、时态内聚、过程内聚、通信内聚、顺序内聚和功能内聚。
(列出三个即可)4.Briefly describe the testing process in system test.单元测试和集成测试后,进行系统测试,系统测试主要包括四个步骤:(1) 功能测试:检查集成的系统是否按照需求中指定的那样执行它的功能(2) 性能测试:将集成的构件与非功能需求进行比较(3) 验收测试:客户参与的测试,目标是确保系统符合他们对需求的理解(4) 安装测试:在实际运行环境中进行的测试。
工程管理专业英语词汇短语
Part1market demand 市场需求facility 设施the speculative housing market 投机性住宅市场the real estate developer 房地产开发商government agency 政府机构public project 公共项目project management 项目管理the conceptual planning stage 概念规划阶段feasibility 可行性in-house 内部的,内业的the project life cycle 项目生命周期from cradle to grave 从开始到结束knowledge domain 知识领域construction industry 建筑业spectrum 波普,光谱,范围residential housing construction 房屋住宅建设subcontractor 分包商institutional and commercial building construction 办公与商业用房建设specialized industrial construction 专业化工业项目建设infrastructure and heavy construction 重大基础项目建设architectural and engineeringA/Efirm 建筑与工程设计公司consortium 财团,株式会社preliminary design 初步设计general contractor 总承包商on site quality inspection 现场质量监督litigation 法律诉讼shop drawings 施工图constructability 可建造性,可施工性value engineering 价值工程construction contract 施工合同design/construct firm 设计、施工公司turnkey 交钥匙承发包模式facility maintenance 设施维护Part2project integration management 项目综合管project scope management 项目范围管理project time management 项目时间管理project cost management 项目成本管理project quality management 项目质量管理project human resource management 项目人力资源管理project communications management 项目沟通管理 project risk management 项目风险管理project procurement management 项目采购管理contractual relationships 合同关系changes 工程变更claims 施工索赔mega-projects 巨型项目“functional”organization “职能式”组织“project”organization “项目式”组织 suborganizations 次级组织strong matrix-type suborganization 强矩阵式次级组织interpersonal influence 人际间影响力formal authority 正式的授权reward and/or penalty power 奖励和/或惩罚的权利 matrix organization 矩阵式组织hierarchical structure 层级结构Part3job-site productivity 工作现场生产率non-productive activities 非生产性工作temporary work stoppage 临时性工作暂停union activities 工作活动performance analysis 绩效分析base labor productivity 基准劳动生产率labor productivity index 劳动力生产指数non-local labor 非当地用工productive labor yield 劳动力产出requisitions 询价purchase orders 订购单subcontracts 分包合同shipping and receiving documents 装船与接收文件invoices 发票bulk materials 大众材料standard off-the-shelf materials 现货材料fabricated members or units 预制构件或单元 semi-processed state 半成品状态pre-processed 预加工的pressure vessels 压力容器field assembly 现场装配skilled craftsmen 熟练技工crawler mounting 履带式底盘claim shell 抓铲挖土机 `dragline 拉铲挖土机backhoe 反铲挖土机shovel 正铲挖土机bulldozer 推土机rotary-percussion drills 旋转冲击钻bituminous 沥青Part4economic evaluation 经济评价the planning horizon 规划期cash flow profile 现金流量图minimum attractive rate of returnMARR 最低收益率sensitivity or uncertainty analysis 敏感性或不确定性分析annual benefit 年收益annual cost 年费用net annual cash flow 年净现金流量opportunity cost 机会成本social rate of discount 社会贴现率profit measure利润指标值private corporations 私营股份制公司public agencies 公共机构net future valueNFV /净终值net present valueNPV 净现值equivalent uniform annual net value NUV 等额净年值capital recovery factor 资金回收因子benefit-cost ratioBCR 收益-费用比profitability index 盈利指数saving-to-investment ratioSIR 存款投资比率absolute numerical measure 绝对指数internal rate of returnIRR 内部收益率marginal efficiency of capital 边际资本收益return on investmentROI 投资收益payback periodPBP 投资回收期profit maximization利润最大化public sector 公共领域basic principle 基本原理nonnegative 非负的budget constraint 预算限制incremental analysis 追加分析internal rate of return method 内部收益率法Part5Word Bank-financed projects 世界银行融资贷款项目foreign bidders 海外投标人civil works 土木工程I nternational Competitive BiddingICB 竞争性国际招标Limited International Bidding 有限国际招标 National Competitive Bidding 国内竞争性招标International Shopping 国际订购Direct Contracting 直接签约General Procurement Notice 通用采购公告 prequalification 资格预审bidding documents 招标文件domestic contractors 国内承包商instructions to bidders 投标人须知conditions of contract 合同条件specifications of drawings 技术规范与图纸bill of quantities 工程量清单payment terms 支付条件minutes of the conference 会议纪要pre-bid conferences 标前会议site visits 现场踏勘substantially responsive 实质性响应the lowest evaluated cost 经评审的最低造价Part6the sealed bids 密封的投标报价construction company 建筑公司marketing strategy 市场营销策略long-term goals 长期目标client relationships 客户关系short-term goal 短期目标direct costs estimate 直接费估算mark-up 涨价溢价company or head office overheads 公司或总部管理费unrealistic bids 不切实际的报价owner-contractor agreement 业主与承包商之间订立的合同standard form of agreement 标准合同形式American Institute of ArchitectsAIA 美国建筑师协会bonus and penalty clauses 奖励与惩罚条款 lump-sum agreement 总价合同changer order 变更单written authorization 书面授权unit-price agreement 单价合同quantity takeoff 工程量清单cost-plus-fee agreements 成本加酬金合同equity partners 股权伙伴rental rates 出租比例percentage fee 百分百酬金合同fixed fee 固定酬金合同changes 工程变更contract award 合同授予changes clause 变更条款publicly financed project 公共融资项目extra work 附加工作the prime contractor 主承包商Part7the International Federation of Consulting Engineering 国际咨询师联合会the FIDIC Conditions of Contract for Constructions FIDIC施工合同条件the General Conditions FIDIC通用条件the Particular Conditions FIDIC专业条件the Appendix to Tender FIDIC投标附录arbitration 仲裁,裁决Dispute Adjudication BoardDBA争议仲裁委员会Conditions of Contract for Works of Civil Engineering Construction 土木工程施工合同条件Conditions of Contract for Electrical and Mechanical Work 机电安装工程合同条件Conditions of Contract for Design-Build and Turnkey设计-建造于交钥匙合同条件Client/Consultant Model Services Agreement 客户/咨询师服务协议Conditions of Subcontract for Works of Civil Engineering Construction 土木工程分包合同条件Guides to the Use of the Different FIDIC Conditions of Contract 各种FIDIC合同条件应用指南Amicable Settlement of Construction Disputes 施工争端友好解决方式Insurance of Large Civil Engineering Projects 大型土木工程保险The Conditions of Contract for Plant and Design-Build FIDIC安装与设计-建造合同The Conditions of Contract for EPC/Turnkey Projects FIDICEPC/交钥匙项目合同条件The Short Form of Contract FIDIC简短格式合同The Form of Contract for Dredging and Reclamation Works FIDIC疏浚与防洪工程合同格式priced contract with activity schedule 总价合同priced contract with bill of quantities 单价合同target contract with activity schedule 目标总价合同target contract with bill of quantities 目标单价合同cost reimbursable contract 成本补偿合同 performance bond 履约保函parent company guarantee 母公司担保advance payment 预付款retention 工程留置权bonus for early completion 工期提前奖delays damages 误期损害surety 担保financial loan 商业贷款insurance policy 保险政策in breach of contract 合同违约bid bond 投标担保justification 正当的理由labor and material bond 劳动力与原材料担保lien bond 留置权担保comprehensive general liability insurance 综合责任险professional liability insurance职业责任险workers’ compensation insurance 工人补偿险builder’s risk fire insurance 施工方火灾险Part8construction planning 施工计划the choice of technology 施工技术的选择the definition of work tasks 工作任务的定义the estimation of the required resources and durations for individual tasks 所需资源和各项工作持续时间的估算reasoning backward 逆向推理normative problem 规范性问题cost control 成本控制schedule control 进度控制critical path scheduling procedures 关键线路进度控制程序job shop scheduling procedures 工作现场进度控制程序work breakdown 工作分解manufacturing terminology加工制造业术语 resource allocations 资源分配fore-runner 先行者laborious and tedious process 复杂和枯燥的过程general models 通用模型databases and information systems 数据库和信息系统the storage and recall of the activities 工作活动的存储于记忆manpower 人力,劳动力the duration of the activity 工作活动的持续时间placing concrete on site 现场浇筑混凝土placing forms 支设模板installing reinforcing steel 绑扎钢筋pouring concrete 浇筑混凝土finishing the concrete 混凝土养护removing forms 模板拆除position forms on the cleaning station 在清理场所码放的模板hierarchical structure 层级结构work breakdown structure 工作结构分解precedence relations 先导顺序关系structural integrity结构整体性design drawings 设计图纸milestone events 里程碑事件lag 时间间隔computer based simulation 基于计算机的模拟excavation equipment 开挖机械\Part9critical path methodCPM 关键路线发predecessor/successor activities先导/后续工作resource constraint 资源约束artificial precedence constraint 人为先导关系约束activity-branch network 双代号网络图dummy activity 虚工作earliest time schedule 最早时间进度latest time schedule 最迟时间进度float 时差,机动时间maneuvering room 可调整的余地free float 自由时差independent float 独立时差total float 总时差inter-relationships 相互关系graphical presentations of project schedules 项目进度的图形表达network diagrams 网络图time-scaled network 时标网络bar or Gantt chart 横道或甘特图horizontal axis 横轴,横坐标vertical axis 纵轴,纵坐标S-curves S型曲线resource graphs 资源图uncertainty associated with the actual durations与实际持续时间相关的不确定性regulatory approval 行政许可adverse weather 不利的天气contingency allowance 应急准备probabilistic perspective概率的角度independent random variables 相互独立的随机变量random fluctuations 随机波动positive correlations正相关over-optimistic 过于乐观的Part10e-construction 工程返工personal injuries 人身伤害conformance 遵守,服从re-evaluation of design decisions设计决策的重要评估tunneling methods 隧道开掘方法actual site conditions 现场的实际状况roadway rehabilitation 公路路面返修quality assurance 质量保证n-site inspections 现场监督检查US Occupational Safety and Health AdministrationOSHA 美国职业安全与健康署violation of existing standard 违反现行规范标准employee participation in quality control 质量控制的员工参与statistical methods 统计方法batches of materials 材料批implicit assumption 隐含的假设total quality control 全面质量控制zero defects goal 零缺陷目标quality circles 质量环“optimum”proportion “最佳”的比例non-destructive techniques 非破坏性技术x-ray inspection of welds 焊接的X光检测 exhaustive or 100% testing 全数或100%检测lot 母体,总体sampling by attributes 特征抽样sampling by variables 变量抽样direct costs 直接成本indirect costs 间接成本construction accidents 工程事故insurance premiums 保险赔偿unsecured railings 未经保护的围栏on-board electronics面板电子元器件asbestosis 矽肺,石棉肺sewer line 排污管道four lane street 四车道道路Part11construction yard and warehouse management information 施工仓储管理信息concrete pumps 混凝土泵warehouse clerks 仓储管理员daily rental charge 日租金tedious manual task 繁琐的手工作业application programs 应用程序duplicate 复制verbal description 文字描述warehouse inventory database 仓储清单数据库relational data model 关系数据模型data dictionary 数据字典numerical code 数据编码redundancy 冗余aggregate 集料,骨料external models of the information 外部信息模型algebraic theory 代数理论projection 映射advantages of distributed processing 分散式处理的优点dynamic changes in information needs 信息需求的动态变化untidy information 凌乱的信息information flow 信息流preprocessor system 预处理系统independent systems 独立系统geometric information 图形信息。
软件工程试卷
Chapter11.why software engineering is important?(1)Individuals and society rely on advanced software system.(个人和社会依靠先进的软件系统)(2).Produce reliable and trustworthy systems economically and quickly (生产可靠和值得信赖的系统经济和迅速)(3)Cheaper is long run to use software engineering methods and techniques.(便宜的是长期使用的软件工程方法和技术)2.what are the essential attributes of good software?(6分)1.Maintainability(n. 可维护性;可维修性)2.Dependability and security.(可靠性和安全)3.Efficiency(n. 效率;效能;功效)4.Acceptability(n. 可接受性;可容许性)(3)what are the types of software products,give some examples.(6分)1.Generic product(基本性产品通用产品).eg:1.Graphic software's 2.Microsoft office 3.CAD/CAM2.custom product(定制的产品).eg:1.Student Information System 2.(Traffic/Remote/Embedded) Control System(4)what are the fundamental activities of software engineering?(6分)1.software specification (软件规格说明)2.software development(软体开发)3.software validation(软件确认)4.software evolution(软件演化软件进化软体演进)(5)what are the cost of software engineering?Roughly 60% of software costs are development costs,40% are testing costs. For custom software,evolution costs often exceed development costs(大约60%的软件成本开发成本,40%是测试成本。
Geometric Modeling
Geometric ModelingGeometric modeling is a crucial aspect of computer graphics and design,playing a significant role in various industries such as architecture, engineering, animation, and manufacturing. It involves creating digital representations of objects and environments using mathematical and computational techniques. Geometric modeling allows designers and engineers to visualize and analyze complex structures, simulate real-world scenarios, and communicate their ideas effectively. However, it also presents several challenges and limitations that need to be addressed to ensure accurate and efficient modeling processes. One of the primary challenges in geometric modeling is achieving precision and accuracy in representing real-world objects and environments. Designers and engineers often need to create highly detailed and intricate models that accurately reflect the physical properties and behavior of the objects they are working with. This requires advanced mathematical algorithms and computational techniques to ensure that the digital models are as close to reality as possible. Inaccurate or imprecise geometric models can lead to design flaws, engineering errors, andcostly rework, highlighting the importance of addressing this challenge. Another significant challenge in geometric modeling is handling complex geometries and shapes. Many real-world objects and structures have irregular and non-standard shapes that are difficult to represent using traditional geometric primitives such as spheres, cubes, and cylinders. This complexity is further compounded in industries such as aerospace, automotive, and biomedical engineering, where the need for highly complex and organic shapes is prevalent. Overcoming this challenge requires the development of advanced modeling techniques, such as freeform modeling and surface reconstruction, to accurately capture and represent complex geometries. Furthermore, geometric modeling also faces challenges related to computational efficiency and performance. Creating and manipulating geometric models often involves complex mathematical operations and algorithms that can be computationally intensive. As the size and complexity of models increase, the computational requirements also escalate, leading to longer processing times and reduced interactivity. This can hinder the design and engineering process, makingit difficult for designers and engineers to work with large and intricate modelsin a timely manner. Addressing this challenge involves optimizing algorithms, leveraging parallel processing techniques, and utilizing hardware acceleration to improve computational efficiency and performance. In addition to technical challenges, geometric modeling also raises issues related to interoperability and data exchange. In today's collaborative and interconnected design environment, it is essential for geometric models to be compatible and interoperable with various software applications and systems. However, different software tools often use proprietary data formats and representations, making it challenging to exchange and work with geometric models across different platforms. This interoperability challenge can impede seamless collaboration and data exchange between designers, engineers, and other stakeholders, highlighting the need for standardized data formats and interoperability solutions. Moreover, geometric modeling also presents challenges related to modeling real-time interactive environments and simulations. In applications such as virtual reality, gaming, and simulation, it is essential to create geometric models that can be rendered and interacted with in real-time. Achieving real-time interactivity and visual fidelity requires optimizing geometric models, leveraging level-of-detail techniques, and utilizing advanced rendering algorithms. This challenge becomes even more pronounced as the demand for immersive and realistic virtual environments continues to grow, necessitating the development of innovative solutions to address this challenge. Furthermore, ethical considerations also come into play in geometric modeling, particularly in applications such as medical imaging and virtual reality. The use of geometric models in these contexts raises concerns about patient privacy, data security, and the potential misuse of digital representations. Designers and engineers must be mindful of these ethical considerations and ensure that the use of geometric models complies with ethical standards and regulations. This involves implementing secure data handling practices, obtaining informed consent for the use of patient data, and safeguarding the integrity and privacy of digital representations. In conclusion, geometric modeling is a critical component of computer graphics and design, enabling designers and engineers to create digital representations of objects and environments for various applications. However, it also presents several challenges and limitations that need to be addressed toensure accurate and efficient modeling processes. From achieving precision and accuracy to handling complex geometries, improving computational efficiency, addressing interoperability issues, enabling real-time interactivity, and considering ethical considerations, there are numerous aspects to consider in the realm of geometric modeling. Overcoming these challenges requires the development of advanced mathematical algorithms, computational techniques, and ethical frameworks to ensure that geometric modeling meets the needs of diverse industries while upholding high standards of accuracy, efficiency, and ethical responsibility.。
国外大学的控制工程简介
Faculty of Engineering and Applied Science Mechanical and Materials EngineeringResearch Activities by Faculty:acquisition of fundamental scientific knowledge. Separate laboratories, each supplied with special purpose instruments and apparatus, support the four areas. Information on facilities in the first three areas can be found at the Research by Laboratory site. Funding comes from major granting agencies such as the Natural Sciences and Engineering Research Council (NSERC) and the Canadian Institutes of Health Research (CIHR), and contract work has been undertaken with, for example, ALCAN, CAMM, CANMET, DND, IDRC, MIROC, MMO and Transport Canada.Biomechanical Engineering•J. Tim Bryanto Orthotic Deviceso Knee Mechanicso Ergonomics•Kevin Deluzioo Biomechanics of Human Motiono Orthopaedic Biomechanicso Biomedical Data Analysis Techniques•Geneviève A. Dumaso Spine Mechanicso Biomechanics•Randy Ellis (cross-appointment from Computing and Information Science)o Computer-Enhanced Surgeryo3D Image Registrationo Biomechanics•Qingguo Lio Biomechanical Systems Designo Bio-Mechatronicso Roboticso Locomotion•Steve Waldman (Adjunct)o Tissue Engineeringo Perfusion Bioreactorso BiomechanicsEnergy and Fluid Systems• A. Michael Birko Gas Turbineso Boiling Liquid Expanding Vapour Explosionso Fluid Mechanics/Thermodynamics/Heat Transfer•Gaby Ciccarelli▪Explosion Physics and Prevention▪Pulse-Detonation Engines▪Combustion•Stephen J. Harrisono Solar Energyo Energy Conservationo Thermal Calorimetry and Measurement Techniques•Miodrag Darko Matovico Computational Fluid Dynamicso Fluid Dynamicso Combustion•Patrick H. Oosthuizen▪Convective Heat Transfer▪Experimental Methods▪Heat Transfer/Thermodynamic•Jon G. Pharoaho Membrane Separation / Water Purificationo Application of CFD to designo Fuel Cell Transport•Ugo Piomellio Large eddy and direct simulationso Turbulence simulations and modellingo Transition modelling, Computational fluid dynamics, Geophysical flows •Andrew Pollardo Fluid Dynamics & Turbulenceo Computational Fluid Dynamicso Experimental Fluid Dynamics•Richard W. Sellenso Optical Measurement Techniqueso Fluid Mechanicso BiomechanicsManufacturing and Dynamic Systems•Ronald J. Andersono Vehicle Dynamicso Multibody Dynamics•Laeeque Daneshmend (joint appointment with Mining Engineering) o Reliability Engineeringo Maintenance Managemento Robotics for Unstructured Environments•Jacob Jeswieto Metal Formingo Single Point Incremental Formingo Friction in Metal Formingo Energy and Carbon Emissions in Manufacturingo Powder Metallurgy•Il-Yong Kimo Multidisciplinary Design Optimizationo CAD/CAM/CAEo Mechanical Systems Design Using FEM (Finite Element Method) •Yongjun Laio Micro Electro-Mechanical Systems (MEMS)o Bio-MEMS bio-manipulations, biomechanics testing, biosensors, etco Vehicle navigation and laser micromachining for rapid MEMS prototyping •Chris K. Mechefskeo Vibration Based Monitoring of Machineso Manufacturing System Dynamic Analysiso Biomedical/Biomechanical System Analysis•Leila Notasho Manipulator Kinematicso Fault Tolerant Operationo Mechatronics and Robotics•David S. Strong▪Design Engineering Education▪Plug-in Hybrid Vehicles•Brian W. Surgenor▪Intelligent Automation▪Automatic Control Systems▪Mechatronics Engineering•Gene Zako Rapid Prototypingo Plastic Compositeso Injection MoldingMaterials Engineering•J. Doug Boydo Steel Physical Metallurgyo Metal Matrix Composites•Brad. Diako Microstructural Phenomena in Metals and Alloyso Materials for Transportation Applicationso X-ray/Electron Scattering Techniques•Mark. Daymondo Micromechanisms of Deformation in Metals, Ceramics and Compositeso Advanced Neutron and X-ray Scattering Techniqueso Engineering Mechanics, Components and Processes•Richard. A. Holto Nuclear materials/zirconium alloyso Crystallographic texture/anisotropyo Modeling materials behaviour•Vlad Krstico Ceramics Processing and Propertieso Ceramic Matrix Compositeso Thin Films• A. Keith Pilkeyo Material Failure Mechanismso Metallographic Image Analysiso Metal Forming•Morteza Shirkhanzadeho Corrosion and Electrochemistryo Electrochemical Processing of Biomaterialso Bioactive and Superplastic Ceramic Coatings•Yongwen Yaoo Characterization of Micorstructureso Radiation induced defects in nuclear materials2曼彻斯特大学(英国):/our-research/research-themes/autonomoussystems/Autonomous SystemsTraditional methods of remotely controlling systems by manual operation become inadequate as the systems and the tasks required increase in complexity, particularly in changing and challenging environments. In recent times, the demand for technologies that operate with minimal human intervention has become acute.http://www.ece.uvic.ca/researchareas.shtmlDepartment of Electrical and Computer Engineering at the University of VictoriaI am pleased to welcome you to the Department of Electrical and Computer Engineering at the University of Victoria. Our Department is known for its exceptional faculty and excellent students world wide. In its brief history, the Department has attractedsome of the leading academics in their fields. In its academic ranks of thirty-five regular and emeritus faculty members, one can find one Fellow of the Royal Society of Canada, nine Fellows of the IEEE, five Fellows of the EIC, one Lansdowne Chair, two CRC Tier 1 Chairs, and two CRC Tier 2 Chairs.Since its establishment in 1983, our Department has indeed grown dramatically. We are offering a broad range of well established undergraduate and graduate programs of study. Our undergraduate programs include Bachelors of Engineering in Computer Engineering and in Electrical Engineering as well as the newly established Bachelor of Software Engineering jointly offered with Computer Science.Our graduate programs are tightly integrated with our research activities, and include programs at the masters and doctoral levels. We have awarded more than 120 doctoral degrees, and our graduates can be found in academic and industrial positions nationally and internationally.On behalf of my colleagues, I extend a warm welcome, and I encourage you to explore the many facets of our Department through these pages.Sincerely,Dr. Fayez GebaliProfessor and ChairResearch AreasResearch AreasBelow is a listing of research areas, click on the research area to show/hide the list of faculty members associated with each area.Communication, Signal Processing and ControlMichael Adams, Ph.D. (British Columbia)Digital signal processing; image/video/audio processing and coding; digital geometry processing; wavelets, subdivision, and filter banks; algorithms; multimedia systems; data compression; computer graphics.Panajotis Agathoklis, Dr. Sc. Tech. (Swiss Fed. Inst. of Tech.)Digital signal processing, multidimensional systems, control systems.Andreas Antoniou, Ph.D. (London)Analog and digital filter design, digital signal processing, electronic circuits, optimization methods.Alexandra Branzan Albu, Ph.D. (Bucharest)Computer vision, pattern recognition, image processing, human computer interaction.Lin Cai, Ph.D. (Waterloo)Wireless networks and mobile computing, resource and mobility management, flow and congestion control, medium access control, multimedia services, cross-layer design.Xiaodai Dong, Ph.D. (Queen's)Wireless communications systems, ultra-wideband communications, multicarrier and multiple antenna communication systems, radio propagation, cooperative communications, cognitive radio.Peter F. Driessen, Ph.D. (British Columbia)Audio and video signal processing, computer music, sound recording, wireless communications, radio propagation.T. Aaron Gulliver, Ph.D. (Victoria)Wireless communications, ultra-wideband systems, wireless networks, cross-layer design, optical wireless, cognitive radio, OFDM and MIMO systems, secure communications, algebraic coding theory, information theory, cryptography and computer security, software radio, communications algorithms.R. Lynn Kirlin, Ph.D. (Utah State)Statistical signal processing: sonar, HF radar, seismic, sensor array processing; adaptive filters, parameter estimation, noise suppression; pattern recognition, clustering and classification; wavelet and time-frequency analysis, data compression, blind separation of signals and blind deconvolution, spectral design of randomized switching in dc/dc and dc/ac converters, radar.Wu-Sheng Lu, Ph.D. (Minnesota)Design and analysis of digital filters, wavelets and filter banks, DSP for telecommunications, numerical optimization and applications.Michael McGuire, Ph.D. (Toronto)Model-based and adaptive filtering, digital signal processing and wireless network control.Stephen W. Neville, Ph.D. (Victoria)Computer and network security, artificial intelligence, statistical signal processing, pattern recognition, fault detection and diagnosis, distributed systems, decision support systems.Hong-Chuan Yang, Ph.D. (Minnesota)Wireless communications and networks, diversity techniques, performance analysis, cross-layer design, and energy efficient communications.Adam Zielinski, Ph.D. (Wroclaw)Underwater acoustic systems; acoustic communications, telemetry and navigation; application of acoustics, ocean electronic instrumentation, signal acquisition and processing,electronic circuits and sensors.4斯坦福大学(美国)(/research-areas) Electrical Engineering Research AreasHardware/Software SystemsSummaryWork in this area is built upon principles and techniques involved in the design and analysis of systems implemented using hardware and software. This includes computer networks; the architecture and design of computer subsystems including processors, memory systems, input/output, and interconnect; programming systems and compilers; and large software systems including systems handling massive amounts of data, graphics and imaging systems, and distributed web services.Sub-Areas & DetailsInformation Systems and ScienceSummaryResearch in IS focuses on the development and application of mathematical models, techniques, and algorithms for information processing, broadly construed. In addition to work on the core disciplines of information theory and coding, control and optimization, signal processing, and learning and inference, IS research spans several application areas, including biomedical imaging, wireless communications and networks, multimedia communications, Internet, energy systems, transportation systems, and financial systems. Much of this research is interdisciplinary and involves faculty and students from other departments across the university.Sub-Areas & DetailsPhysical Technology and ScienceSummaryComplex electronic systems are ubiquitous (e.g., planes, cars, communication networks, cellphones). At present, there is a pressing need to improve by orders of magnitude the performance and efficiency of existing electronic systems which are the backbones of the information society. At the same time, we are seeing expanding needs in emerging areas such as distributed power networks, electric cars, biomedical devices and systems, and sensor networks.Sub-Areas & Details5:哥伦比亚大学(美国)/signal-and-information-processingElectrical EngineeringFacultyJavad LavaeiAssistant ProfessorResearch areas:Control Theory, Power Systems, Optimization Theory,Networking.Shih-Fu ChangProfessorResearch areas:Multimedia search and retrieval, image and video analysis, mobile and augmented media, large-scale high-dimensional indexing, signal processing,computer vision, and machine learning.Dan EllisAssociate ProfessorResearch areas:Audio signal processing and content analysis, with applications to speech, music, environmental sound, and bioacoustics. Statistical pattern recognition applied to audio, and techniques for analyzing large audio archives. Acoustic sceneanalysis, auditory modeling, and acoustic source separation.John PaisleyAssistant ProfessorResearch areas:Statistical Machine Learning, Probabilistic Models.Xiaodong WangProfessorJohn WrightAssistant Professor6: 布里斯托(英国)/engineering/departments/mecheng/research/Research GroupsDynamics and ControlThe research group ethos involves the development of advanced analytical techniques in combination with numerical simulations and a strong element of experimental testing. The group has a variety of projects funded by the EPSRC and the European Commission, as well as projects with collaboration and funding from industry. Laboratory facilities were established in 2004 as part of BLADE, (Bristol Laboratory For Advanced Dynamics Engineering) including state-of-the-art dynamic testing capabilities. Engineering DynamicsEngineering Dynamics research spans a wide range of activities and applications. Large structures, bridges, machines, and aircraft all have dynamical properties which need to be modelled, measured and designed for. Our research activity is focused on the dynamic behaviour of these systems - particularly those with significant nonlinearity. The group hosts the University Technology Centre with AgustaWestland, and has a range of other industrial projects. The following topics are major themes of research:•Aircraft dynamics•Earthquake engineering•Nonlinear dynamics•Modal testing•Smart structures•Structural integrityControl EngineeringControl Engineering research includes expertise in a wide range of topics. Recent collaborative work includes projects with the University of Bath on the energy-efficient adaptive control of servohydraulic systems, and on the adaptive control of the University of Bristol shaking-table. Current work with industry includes projects with Zwick Controllers Ltd, on the adaptive control of servohydraulic testingmachines, and with BAE Systems on adaptive navigation in uncertain urban environments. Topics of research interest include:•Model predictive control•adaptive control•distributed control•unmanned aerial vehicle•autonomous systems•real-time dynamic substructuring•aircraft stability and controlFluid DynamicsThe Fluid Dynamics research group has research expertise in a range computational and experimental fluid dynamics topics. A particular focus in recent years has been unsteady flows, and their interaction with engineering structures. Work is also been carried out on the dynamics and control of bubbling fluidised beds. The group have collaborative contracts with all major UK aerospace companies, and collaborative links with many international research institutes. Please visit the link for further information on the Fluid andAerodynamics group.7谢菲尔德(英国)/acse/research Department of Automatic Control and Systems EngineeringOur vision is to carry out theoretical and applied research to address challenges posed by the complexity of natural and man-made systems and the demand for higher levels of autonomy and intelligence of future engineering systems.We structure our research along three strategic themes: Complexity, Intelligence and Autonomy, four cross-cutting application areas: Aerospace & Transport; Life Sciences & Healthcare; Energy & Environment, Manufacturing & Robotics and three research groups, led by senior academics and supported by post-doctoral researchers.Research GroupsThe research in ACSE is organized in three research groups, which reflect three strategic research themes.Autonomous Systems and Robotics (Autonomy Theme)This research group carries out world leading research in autonomous and robotic systems by investigating key research problems of sensing, control, decision making and system integration. Themes include: design of autonomous industrial robots, biologically inspired principles of sensing and control, self-assembling robotic systems and swarms and advanced software architectures for decision making.Visit Autonomous Systems and RoboticsComplex Systems and Signal Processing (Complexity Theme)The group is internationally renowned for its work on the identification and analysis of complex spatio-temporal systems, nonlinear signal processing, and the analysis and design of nonlinear systems in the frequency domain.Visit Complex Systems and Signal ProcessingIntelligent Systems, Decision and Control (Intelligence Theme)The group make a global impact on advances in multiobjective evolutionary optimization algorithms, intelligent health monitoring and fault diagnosis, decision support systems for biomedicine, information processing and computational data modelling.Visit Intelligent Systems, Decision and Control8. 悉尼大学(澳大利亚).au/vsfs/Current ResearchTeaching and Learning EffectivenessThe VSFS is currently used as an educational tool in the undergraduate aeronautical engineering degree at the university. The effectiveness of this part of the degree forms a significant area of research, with two major outcomes assessed.The first is the ability of the simulator to enhance student understanding in the flight mechanics course in the third year of study. Students take part in a simulation week where they fly the simulator while basic aerodynamic coefficients are varied to emphasise their effect.The second is to examine the effectiveness of building software and functionality into the simulator, such as aircraft models, controllers, processes and plugins. This concerns thesis and more advanced students who will actually improve the simulator or test their own controllers.Visual Systems for Guidance and ControlUsing simulator software and control law, current research is being conducted into the use of visual systems for aircraft guidance and control. This involves the use of algorithms to analyse aircraft trajectory in flight in real-time and testing the results in the simulator. Guidance and control laws can be developed through the use of the simulator to simulate “flight test” conditions.9澳洲国立大学(澳大利亚).au/research/groups/sysconEngineering & Computer Science Systems and ControlWe are a multidisciplinary group focusing on the broad areas of automatic control and systems theory. Our particular research areas cover a diverse range of topics in three major areas:•Swarms and Multiagent Systems: It is becoming increasingly important for airborne and ground vehicles to maintain rigid or semi-rigid formations whenexecuting a mission. In a squadron of unmanned airborne vehicles (UAVs) forexample, which talks to which? Which needs to measure what? How can thewhole formation stay together if one of the communication links breaks down?•Complex and Dyamical Networks: As the world becomes ever more connected we see the necessity of understanding how to analyse and control largenetworks. Detecting and isolating faults in complex networks - the electricity grid,for example - helps to minimise economic and social disruption to consumersand business.•Quantum Control: Science and technology are rapidly developing at the nano scale, where physical features have dimensions on the order of tens ofnanometers or below. This calls for a new control engineering that it suited toquantum technologies, and in particular, that takes fully into account thequantum models that are needed in this frontier domain.10帝国理工学院/electricalengineering/research•Electrical & Electronic EngineeringOur research activities are organised broadly into five groups, in the fields of devices, communications & signal processing, circuits, intelligent systems, and control & power. Each group collaborates widely with partners in industry and other research institutions, and each is supported by a broad range of funding sources.Our research group spans control theory to power converter design via control system applications and power system planning.•Our theoretical work in control is centred on robust and optimal control, data fusion, nonlinear systems, stochastic modelling, systems identification anddistributed parameter systems•Our theoretical work in power systems is centred on solutions to optimized network planning that account for the stochastic nature of actors in a smart grid and the characteristics of new power electronic technologies.•We apply our fundamental work in control and power to:o the design of onshore and offshore transmission networkso distributed control and constraint management in distribution networkso design and control of modular multi-level power converterso modelling and optimisation of wireless power transfer and energy harvesterso the modelling and stability analysis of land and sea vehicleso the stabilisation of large flexible structures.We are presently recruiting students (UK and UK-based EU nationals in the main) for PhD scholarships through our Centre for Doctoral Training in Future Power Systems and Smart Grids (a joint initiative with Strathclyde University)。
ImperialCollege,
ImperialCollege,Component-based Modeling, Analysis and AnimationJeff KramerProfessor of Distributed ComputingDepartment of Computing,Imperial College,London SW7 2AZ, UKE-mail: j.kramer@ /doc/c5661349.htmlAbstractComponent-based software construction is widely used in a variety of applications, from embedded environments to grid computing. However, errors in these applications and systems may have severe financial implications or may even be life threatening. A rigorous software engineering approach is necessary.We advocate a model-based tool-supported approach to the design of concurrent component-based systems. Component behaviour is modeled as a finite state process and specified in a process algebra FSP. In the same way that components can be composed according to an architecture so as to provide (sub-)system functionality, so component models can be composed to construct a system behaviour model. These models can be analysed using model checking against required properties specified in FSP or Linear Temporal Logic. Furthermore, these models can be animated to demonstrate and validate their behaviour and to replay counterexamples to illustrate their misbehaviour.In order to facilitate model construction early in the design process, the behaviour models can be synthesised from scenarios, captured as message sequence charts (MSC). Models described in this way can be used as an initial basis for validating requirements and as a specification that must be satisfied by more detailed models.By using a model-based design process early in the software lifecycle we hope that users gain the greatest benefit from model building and analysis. By providing techniques to generate models from scenarios and by associating the models with the proposed software architecture, we embed modeling into the software process. The ability to associate animation with models provides an accessible means for interpreting both model behavior and misbehavior to users. Analysis and animation can be carried out at any level of the architecture. Consequently, component models can be designed and debugged before composing them into larger systems.The model-based approach and analysis and animation techniques will be described and demonstrated through a series of examples and using the Labelled Transition System Analyser (LTSA) toolkit, which has been extended to deal with animation and MSCs.BiodataProfessor Jeff Kramer was Head of the Department of Computing at Imperial College from 1999 to 2004. He is currently Head of the Distributed Software Engineering Section. His research work is on behaviour analysis, the use of models in requirements elaboration and architectural approaches to self-organising software systems. He was a principal investigator in the various research projects that led to the development of the CONIC and DARWIN environments for distributed programming and the associated research into software architectures and their analysis. The work on the Darwin Software Architecture led to its commercial use by Philips in their new generation of consumer television products.Jeff Kramer is a Chartered Engineer, Fellow of the IEE and Fellow of the ACM. He was program co-chair of the 21st ICSE (International Conference on Software Engineering) in Los Angeles in 1999, Chair of the Steering Committee for ICSE from 2000 to 2002. He was associate editor and member of the editorial board of ACM TOSEM from 1995 to 2001 and is currently Editor in Chief of IEEE TSE. He was awarded the IEE Informatics Premium prize for 1998/99, the Most Influential Paper Award at ICSE 2003 and the 2005 ACM SIGSOFTOutstanding Research Award Award for significant and lasting research contributions to software engineering. He is co-author of a recent book on Concurrency, co-author of a previous book on Distributed Systems and Computer Networks, and the author of over 150 journal and conference publications.Bibliography[1] S. C. Cheung and J. Kramer, “Checking Safety Properties Using Compositional Reachability Analysis”, ACM Transactionson Software Engineering and Methodology, Vol. 8, No. 1, pp. 49-78, 99.[2] H. Foster, S. Uchitel, J. Magee and J. Kramer, “LTSA-WS: A Tool for Model-Based Verification of Web Service Compositions and Choreography”, (Formal Research Demo, 28th IEEE/ACM Int. Conf. on Software Engineering (ICSE-2006), Shanghai, May 2006).[3] D. Giannakopoulou and J. Magee, “Fluent Model-checking for Event-based Systems”, ESEC/FSE, Helsinki, Sept. 2003.[4] D. Giannakopoulou, J. Magee and J. Kramer, “Checking Progress with Action Priority: Is it Fair?”, 7th European Software Engineering Conference held jointly with the 7th ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE'99), Toulouse, France, 1687, pp. 511-527, September 1999.[5] J. Kramer and J. Magee, “Exposing the Skeleton in the Coordination Closet”, Coordination'97, Second International Conference on Coordination Models and Languages, Berlin, Germany, 1282, pp. 18-31, September 1997.[6] J. Magee, N. Dulay, S. Eisenbach and J. Kramer, “Specifying Distributed Software Architectures”, 5th European Software Engineering Conference (ESEC'95), Sitges, Spain, 989, pp. 137-153, September 1995.[7] J. Magee, N. Dulay and J. Kramer, Regis, “A Constructive Development Environment for Parallel and Distributed Programs”, Distributed Systems Engineering Journal, Special Issue on Configurable Distributed Systems, Vol. 1, No. 5, pp. 304-312, 94.[8] J. Magee and J. Kramer, Concurrency - State Models & Java Programs, Chichester, John Wiley & Sons, 1999.[9] J. Magee, J. Kramer, D. Giannakopoulou and N. Pryce, “Graphical Animation of Behavior Models”, 22nd International Conference on Software Engineering (ICSE'00), Limerick, pp. 499-508, June 2000.[10] K. Ng, J. Kramer and J. Magee, “Automated Support for the Design of Distributed Systems”, Journal of Automated Software Engineering (JASE), Vol. 3, No. 4, pp. 261-284, 1996.[11] S. Uchitel, J. Kramer and J. Magee, “Detecting Implied Scenarios in Message Sequence Chart Specifications”, Joint 8th European Software Engineering Conference (ESEC'01) and 9th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE'01), Vienna, pp. 74-82.[12] S. Uchitel, J. Kramer and J. Magee, “Negative Scenarios for Implied Scenario Elicitation”, ACM SIGSOFT 10th International Symposium on the Foundations of Software Engineering (FSE-10), Charleston, South Carolina, November 18-22, 2002).[13] S. Uchitel, J. Kramer and J. Magee, “Synthesis of Behavioural Models from Scenarios”, IEEE Transactions on Software Engineering, Vol. 29, No. 2, pp. 99-115, 2003.[14] J. Kramer, J. Magee and S. Uchitel, “Software Architecture Modeling and Analysis: A Rigorous Approach”, Formal Methods for Software Architectures (SFM-03:SA Lectures), Marco Bernardo and Paola Inverardi, Springer, LNCS 2804, 2003, 45-52.[15] S. Uchitel, J. Kramer and J. Magee, “Incremental Elaboration of Scenario-based Specifications and Behaviour Models usingImplied Scenarios”, ACM Transactions on Software Engineering Methodology TOSEM, 13 (1), January 2004.[16] S. Uchitel, R. Chatley, J. Kramer and J. Magee, “Fluent-Based Animation: Exploiting the Relation between Goals and Scenarios for Requirements Validation”, Requirements Engineering (RE ’04), Kyoto, September 2004.)[17] S. Uchitel S., R. Chatley, J. Kramer, and J. Magee, “System Architecture: the Context for Scenario-based Model Synthesis”,ACM SIGSOFT 12th International Symposium on the Foundations of Software Engineering (FSE-12), Newport Beach, California, October 31 – November 5, 2004.。
Rapid modeling of complex building faades
Short Papers Rapid modeling of complex building façadesD.Finkenzeller and A.SchmittInstitut für Betriebs-und Dialogsysteme,Universität Karlsruhe(TH),Germany1.IntroductionWith advances in computer hardware the size and complex-ity of virtual worlds increases dramatically,like in massive multiplayer online role-playing games(MMORPG)as for example in World of Warcraft[BE06].Therefore,the mod-eling of detailed scenes becomes a more important topic and will consume much time and human resources.To tackle this problem we focus on the modeling of highly detailed façades.One problem is that the manual modeling of de-tailed façades with tools like Maya[Aut06b]or3D Studio Max[Aut06a]is a very time-consuming and tedious task. Another problem is that models once created cannot be eas-ily changed.The main task the user or designer has to accomplish is to model a façade with computer support.In this paper,we pro-pose a system which allows the user to create highly detailed façades with ease.The system also supports the possibility to change the style of the whole façade or parts of it very quickly.This relieves the designer of the burden of difficult modeling tasks and gives him a high level control.Our approach is based on a clear separation of the model-ing task in which both,designer and computer have their dis-tinguished duties.The designer provides the coarse building outline,its type and style.Based on this information the ma-chine generates detailed façade structures for door and win-dow holes,their frames,cornices,etc.Adjacent architectural structures are adapted automatically so that geometry does not overlap.At the moment we work on a texture genera-tor that produces textures which exactlyfit the geometry to avoid unwanted effects,like structures not adapted to others. The designer can change façade parameters on a high level and the machine does all the necessary recomputation.As a consequence the designer produces more complex structures in less time.He can try different styles on the same build-ing outline and produce higher quality façades and therefore save human resources and money.2.Related WorkMany different techniques do contribute to the task of au-tomated building and façade generation.Here we introduce some of the most relevant ones.For procedural modeling there are mainly two common techniques.Thefirst technique are rewriting systems which operate on strings.Especially Chomsky’s work on formal grammars caused a huge interest in rewriting systems.A condensed introduction is given in[Sch92].The second technique uses L-systems.The biologist Aristid Linden-mayer proposed this mathematical formalism—which also uses rewriting—in1968as a foundation for an axiomatic theory of biological development[PL96].The basic idea isto use a set of rewriting rules or productions to create com-plex objects by successively replacing parts of a simple ob-ject.In Chomsky grammars productions are applied sequen-tially,whereas in L-systems they are applied in parallel,re-placing simultaneously all letters in a given word.There are several research papers concerning the procedu-ral modeling of whole cities using grammars and L-system like[PM01],[GPSL03],and[Arn00].They mainly focus on creating whole cities based on a set of production rules. Parish and Müller[PM01]create the geometry for the build-ings with a parametric stochastic L-system.For the façades they use procedurally generated textures.Wonka et al.[WWSR03]introduce split grammars for the generation of buildings.They represent the façade as a non-terminal shape which can be further split into smaller non-terminal shapes leading in the last step of splitting to ter-minal shapes like windows,wall elements etc.In[BBJ∗01] and[BJDA01]Birch et al.present techniques for the interac-tive modeling of buildings and architectural structures.They focus on the reduction of the number of parameters to a man-ageable size and to generate details procedurally.Legakis et al.[LDG01]present a method for cellular texturing for ar-chitectural models.Upon the underlying geometry they per-form texturing operations considering the interdependencies between cells for vertices(corners),edges and faces.Have-mann et al.[HF01]use the combination of polygonal mesh modeling and subdivision surfaces,which they call Com-bined BRep,for modeling architectural structures like orna-ments and window frames.Particularly,a multi resolution approach is proposed where a view dependent refinement of a coarse structure is done at runtime.The last paper mentioned leads us to the important objec-tive of adequate geometry representation.Mäntylä[Män88] introduces different boundary models.Faces,edges and ver-tices are represented in a tree like structure not only describ-ing the geometry model but also connection information be-tween faces,edges and vertices.3.Modeling processTo model a building like the one in Figure7,the user has to draw the coarse outline and choose the appearance from a given set of styles.The information is then stored in a graph structure,representing the building in a symbolic way with necessary geometrical information.Upon this information the entire building is automatically created.At any time the user can modify the information in the graph.Each level, even each window etc.can be assigned an individual style from the pletely new styles for window or door frames and cornice profiles are created using a simple Logo-like[MAA84]description language.The effort and amount of time needed to model such a building ranges from a few minutes—if predefined styles are used—to about one or two hours—when completely new styles are created.4.Building outlineOur main goal is to have arbitraryfloor plan outlines for ev-ery level in a building.For this purpose we follow the aspect of a vector oriented approach.Additionally we have to take two aspects into account.First we discovered that it is neces-sary to have basic architectural information,e.g.the location of projections on walls,balconies,etc.,on an early stage of modeling.The second is that we need spatial information of adjacent architectural structures both on a single level and between two adjacent levels.In the next two subsection we describe the methods which meet our demands.4.1.Floor plan outlineTo achieve arbitraryfloor plan outlines with necessary in-formation about basic architectural structures,we compose convex2D polygons to afloor plan outline.We refer to a convex polygon as afloor plan module or fpm.Each fpm represents an architectural structure in the façade with nec-essary information,e.g.type,material,basic geometrical in-formation,etc.To receive a singlefloor plan outline several fpms are combined.The connection between two fpms has the following information:•the two connected fpms:fpmaand fpm b,one of them to be dominant;•their connecting edges:e c of fpm a and e d of fpm b;•start and end point of the connection on the dominant fpm’s edge:p S,p E∈[0,1],p S<p E;Figure1(a)shows an example of two connected fpms: fpm2connected to fpm1via their edges e5and k1.Thefloor plan in Figure1(b)is composed of six fpms and shows the first levelfloor plan from Figure7.The colored lines rep-resent the outline of thefloor plan.Each line strip of the same color depicts a distinguished façade element.The yel-low,green and blue line strips represent façadeprojections.(a)(b)Figure1:Floor plan modules.4.2.Multiple levelsWhen extending a singlefloor plan to buildings with mul-tiple levels,we start upon the fpms on thefirst level.Thesubsequent fpms arise from their underlying fpms.We des-tinguish three methods.An underlying fpm can be:•omitted,so no fpm will be created for the next level,•fully present on the next level or•subdivided as shown in Figure2(a),each convex combi-nation of the subdivisions can form a new fpm for the next level or•extend,a new fpm is added,e.g.create an oriel.During the operation,necessary connections will be re-tained.To support structures like oriels or balconies,etc.the newly created fpms receive connections to fpms representing these structures,like the oriel on the left side on the second level shown in Figure2(b).Also depicted in Figure2(b)are the seams of adjacent structures—red for intra level and bluefor inter level—which are automaticallygenerated.(a)(b)Figure2:Subdivided fpm and seams of adjacent structures.5.Façade representationNow that we have a representation for the coarse outline of a building,the next step is to generate walls and corners with detailed structures.5.1.Corners and wallsBasic walls and corners arise from the coarse outline of ev-ery level’sfloor plan.Basic walls are further subdivided into walls and optionally wall spacers.Wall spacers and corners can be refined to stacks of arbitrary blocks.In Figure7the quoins consist of single blocks as well are the elements be-tween the walls.5.2.CornicesAdditionally corners,walls,and wall spacers can be sup-plied with cornices.The contour of a cornice is defined via a Logo-like[MAA84]description language,reduced to two simple commands angle and arc.Angle draws a straight line (initially starting at the origin)of a given length and direc-tion whereas arc draws an arc with a given radius and sweep angle.Figure7shows several different cornice types on ev-ery level of the building.5.3.Doors and windowsFor doors and windows thefirst step is to define coarse rect-angular holes relatively to a given wall.In the next step the four edges of the hole can be refined.Each edge can be re-placed by a polygon defined with the description language we use for the cornices(the dotted line in Figure3).Addi-tional parameters for offsets to the left d l,right d r,and top d t can be set.In Figure3the original edge(f l,f r)is refined to the dotted line between the edge(l,r).Figure3:Example refinement for a window edge. The inner part of the hole is nowfilled with a frame for each refined edge.Figure7shows different frame types that can be used:simple,cornice and bricks.The frames for the window pane are kept very simple. They run along the inner edges determined by the above defined frames.The have a central cross and are of type cornice.All windows in Figure7have such window pane frames.6.Roof generationTo control the appearance of the entire roof we use the indi-vidualfloor plan modules.Every top level fpm has its own roof type information.Figure4shows three different roof types.When the entire roof is generated,the roof informa-tion of adjacent fpms are combined to a single roof.The step from single fpms roofs to an entire roof is shown in Figure5.Figure4:Three roof types:flat,pent,and gableroof.Figure5:Step from single roofs to an entire roof.7.Geometry engineThe information about the façade,including fpms,walls,windows,etc.,is represented in an hierarchical structure as shown in Figure 6.The geometry engine considers its data and produces the detailed geometry.An example of an entire façade is given in Figure 7.Figure 6:Façade hierarchicalstructure.Figure 7:Façade created with the actual system.8.Conclusion and future workIn this paper we proposed a system for the rapid modeling of façades,in which a hierarchical structure is used.A ma-jor limitation of our approach is that it can only describe classical building styles,anic structures are not pos-sible.In future the rules that describe different façade styles,its proportions,etc.will be represented in a knowledge base.With a graphical user interface the designer draws the coarse building outline and the knowledge base is queried to pro-duce the detailed façade structures.To have a more realistic appearance for the walls,we are developing a texture gener-ator to create adapted brickworks.References[Arn00]A RNOLD D.:Economic reconstructions of pop-ulated environments -progress with the charismatic project,2000.[Aut06a]A UTODESK :3D Studio Max ,2006./3dsmax.[Aut06b]A UTODESK :Maya ,2006./maya.[BBJ ∗01]B IRCH P.J.,B ROWNE S.P.,J ENNINGS V.J.,D AY A.M.,A RNOLD D. B.:Rapid procedural-modelling of architectural structures.In Proc.of the 2001conference on Virtual reality,archeology,and cultural heritage (2001),ACM Press,pp.187–196.[BE06]B LIZZARD -E NTERTAINMENT :World of War-craft ,2006..[BJDA01]B IRCH P.,J ENNINGS V.,D AY A.M.,A RNOLD D.B.:Procedural modelling of vernacular housing for virtual heritage environments,2001.[GPSL03]G REUTER S.,P ARKER J.,S TEWART N.,L EACH G.:Undiscovered worlds -towards a framework for real-time procedural world generation.In Proc.of the Fifth Intern.Digital Arts and Culture Conference (2003).[HF01]H AVEMANN S.,F ELLNER D.:A versatile 3d model representation for cultural reconstruction.In Proc.of the 2001conference on Virtual reality,archeology,and cultural heritage (2001),ACM Press,pp.205–212.[LDG01]L EGAKIS J.,D ORSEY J.,G ORTLER S.:Feature-based cellular texturing for architectural models.In Proc.of the 28th conf.on Computer graphics and in-teractive techniques (2001),ACM Press,pp.309–316.[MAA84]M AC D OUGALL A.,A DMAS T.,A DAMS P.:Learning Logo on the Apple II .Simon &Schuster,1984.[Män88]M ÄNTYLÄM.:An Introduction to Solid Model-ing .Computer Science Press,Maryland,1988.[PL96]P RUSINKIEWICZ P.,L INDENMAYER A.:The al-gorithmic beauty of plants .Springer-Verlag New York,Inc.,New York,USA,1996.[PM01]P ARISH Y.I.H.,M ÜLLER P.:Procedural mod-eling of cities.In Proc.of the 28th annual conference on Computer graphics and interactive techniques (2001),ACM Press,pp.301–308.[Sch92]S CHÖNING U.:Theoretische Informatik kurz gefasst .BI Wissenschaftsverlag,1992.[WWSR03]W ONKA P.,W IMMER M.,S ILLION F.,R IB -ARSKY W.:Instant architecture.ACM Trans.Graph.22,3(2003),669–677.。
自动化专业英语词汇大全
自动化专业英语词汇大全acceleration transducer 加速度传感器acceptance testing 验收测试accessibility 可及性accumulated error 累积误差AC-DC-AC frequency converter 交-直-交变频器AC (alternating current) electric drive 交流电子传动active attitude stabilization 主动姿态稳定actuator 驱动器,执行机构adaline 线性适应元adaptation layer 适应层adaptive telemeter system 适应遥测系统adjoint operator 伴随算子admissible error 容许误差aggregation matrix 集结矩阵AHP (analytic hierarchy process) 层次分析法amplifying element 放大环节analog-digital conversion 模数转换annunciator 信号器antenna pointing control 天线指向控制anti-integral windup 抗积分饱卷aperiodic decomposition 非周期分解a posteriori estimate 后验估计approximate reasoning 近似推理a priori estimate 先验估计articulated robot 关节型机器人assignment problem 配置问题,分配问题associative memory model 联想记忆模型associatron 联想机asymptotic stability 渐进稳定性attained pose drift 实际位姿漂移attitude acquisition 姿态捕获AOCS (attritude and orbit control system) 姿态轨道控制系统attitude angular velocity 姿态角速度attitude disturbance 姿态扰动attitude maneuver 姿态机动attractor 吸引子augment ability 可扩充性augmented system 增广系统automatic manual station 自动-手动操作器automaton 自动机autonomous system 自治系统backlash characteristics 间隙特性base coordinate system 基座坐标系Bayes classifier 贝叶斯分类器bearing alignment 方位对准bellows pressure gauge 波纹管压力表benefit-cost analysis 收益成本分析bilinear system 双线性系统biocybernetics 生物控制论biological feedback system 生物反馈系统black box testing approach 黑箱测试法blind search 盲目搜索block diagonalization 块对角化Boltzman machine 玻耳兹曼机bottom-up development 自下而上开发boundary value analysis 边界值分析brainstorming method 头脑风暴法breadth-first search 广度优先搜索butterfly valve 蝶阀CAE (computer aided engineering) 计算机辅助工程CAM (computer aided manufacturing) 计算机辅助制造Camflex valve 偏心旋转阀canonical state variable 规范化状态变量capacitive displacement transducer 电容式位移传感器capsule pressure gauge 膜盒压力表CARD 计算机辅助研究开发Cartesian robot 直角坐标型机器人cascade compensation 串联补偿catastrophe theory 突变论centrality 集中性chained aggregation 链式集结chaos 混沌characteristic locus 特征轨迹chemical propulsion 化学推进calrity 清晰性classical information pattern 经典信息模式classifier 分类器clinical control system 临床控制系统closed loop pole 闭环极点closed loop transfer function 闭环传递函数cluster analysis 聚类分析coarse-fine control 粗-精控制cobweb model 蛛网模型coefficient matrix 系数矩阵cognitive science 认知科学cognitron 认知机coherent system 单调关联系统combination decision 组合决策combinatorial explosion 组合爆炸combined pressure and vacuum gauge 压力真空表command pose 指令位姿companion matrix 相伴矩阵compartmental model 房室模型compatibility 相容性,兼容性compensating network 补偿网络compensation 补偿,矫正compliance 柔顺,顺应composite control 组合控制computable general equilibrium model 可计算一般均衡模型conditionally instability 条件不稳定性configuration 组态connectionism 连接机制connectivity 连接性conservative system 守恒系统consistency 一致性constraint condition 约束条件consumption function 消费函数context-free grammar 上下文无关语法continuous discrete event hybrid system simulation 连续离散事件混合系统仿真continuous duty 连续工作制control accuracy 控制精度control cabinet 控制柜controllability index 可控指数controllable canonical form 可控规范型[control] plant 控制对象,被控对象controlling instrument 控制仪表control moment gyro 控制力矩陀螺control panel 控制屏,控制盘control synchro 控制[式]自整角机control system synthesis 控制系统综合control time horizon 控制时程cooperative game 合作对策coordinability condition 可协调条件coordination strategy 协调策略coordinator 协调器corner frequency 转折频率costate variable 共态变量cost-effectiveness analysis 费用效益分析coupling of orbit and attitude 轨道和姿态耦合critical damping 临界阻尼critical stability 临界稳定性cross-over frequency 穿越频率,交越频率current source inverter 电流[源]型逆变器cut-off frequency 截止频率cybernetics 控制论cyclic remote control 循环遥控cylindrical robot 圆柱坐标型机器人damped oscillation 阻尼振荡damper 阻尼器damping ratio 阻尼比data acquisition 数据采集data encryption 数据加密data preprocessing 数据预处理data processor 数据处理器DC generator-motor set drive 直流发电机-电动机组传动D controller 微分控制器decentrality 分散性decentralized stochastic control 分散随机控制decision space 决策空间decision support system 决策支持系统decomposition-aggregation approach 分解集结法decoupling parameter 解耦参数deductive-inductive hybrid modeling method 演绎与归纳混合建模法delayed telemetry 延时遥测derivation tree 导出树derivative feedback 微分反馈describing function 描述函数desired value 希望值despinner 消旋体destination 目的站detector 检出器deterministic automaton 确定性自动机deviation 偏差deviation alarm 偏差报警器DFD 数据流图diagnostic model 诊断模型diagonally dominant matrix 对角主导矩阵diaphragm pressure gauge 膜片压力表difference equation model 差分方程模型differential dynamical system 微分动力学系统differential game 微分对策differential pressure level meter 差压液位计differential pressure transmitter 差压变送器differential transformer displacement transducer 差动变压器式位移传感器differentiation element 微分环节digital filer 数字滤波器digital signal processing 数字信号处理digitization 数字化digitizer 数字化仪dimension transducer 尺度传感器direct coordination 直接协调disaggregation 解裂discoordination 失协调discrete event dynamic system 离散事件动态系统discrete system simulation language 离散系统仿真语言discriminant function 判别函数displacement vibration amplitude transducer 位移振幅传感器dissipative structure 耗散结构distributed parameter control system 分布参数控制系统distrubance 扰动disturbance compensation 扰动补偿diversity 多样性divisibility 可分性domain knowledge 领域知识dominant pole 主导极点dose-response model 剂量反应模型dual modulation telemetering system 双重调制遥测系统dual principle 对偶原理dual spin stabilization 双自旋稳定duty ratio 负载比dynamic braking 能耗制动dynamic characteristics 动态特性dynamic deviation 动态偏差dynamic error coefficient 动态误差系数dynamic exactness 动它吻合性dynamic input-output model 动态投入产出模型econometric model 计量经济模型economic cybernetics 经济控制论economic effectiveness 经济效益economic evaluation 经济评价economic index 经济指数economic indicator 经济指标eddy current thickness meter 电涡流厚度计effectiveness 有效性effectiveness theory 效益理论elasticity of demand 需求弹性electric actuator 电动执行机构electric conductance levelmeter 电导液位计electric drive control gear 电动传动控制设备electric hydraulic converter 电-液转换器electric pneumatic converter 电-气转换器electrohydraulic servo vale 电液伺服阀electromagnetic flow transducer 电磁流量传感器electronic batching scale 电子配料秤electronic belt conveyor scale 电子皮带秤electronic hopper scale 电子料斗秤elevation 仰角emergency stop 异常停止empirical distribution 经验分布endogenous variable 内生变量equilibrium growth 均衡增长equilibrium point 平衡点equivalence partitioning 等价类划分ergonomics 工效学error 误差error-correction parsing 纠错剖析estimate 估计量estimation theory 估计理论evaluation technique 评价技术event chain 事件链evolutionary system 进化系统exogenous variable 外生变量expected characteristics 希望特性external disturbance 外扰fact base 事实failure diagnosis 故障诊断fast mode 快变模态feasibility study 可行性研究feasible coordination 可行协调feasible region 可行域feature detection 特征检测feature extraction 特征抽取feedback compensation 反馈补偿feedforward path 前馈通路field bus 现场总线finite automaton 有限自动机FIP (factory information protocol) 工厂信息协议first order predicate logic 一阶谓词逻辑fixed sequence manipulator 固定顺序机械手fixed set point control 定值控制FMS (flexible manufacturing system) 柔性制造系统flow sensor/transducer 流量传感器flow transmitter 流量变送器fluctuation 涨落forced oscillation 强迫振荡formal language theory 形式语言理论formal neuron 形式神经元forward path 正向通路forward reasoning 正向推理fractal 分形体,分维体frequency converter 变频器frequency domain model reduction method 频域模型降阶法frequency response 频域响应full order observer 全阶观测器functional decomposition 功能分解FES (functional electrical stimulation) 功能电刺激functional simularity 功能相似fuzzy logic 模糊逻辑game tree 对策树gate valve 闸阀general equilibrium theory 一般均衡理论generalized least squares estimation 广义最小二乘估计generation function 生成函数geomagnetic torque 地磁力矩geometric similarity 几何相似gimbaled wheel 框架轮global asymptotic stability 全局渐进稳定性global optimum 全局最优globe valve 球形阀goal coordination method 目标协调法grammatical inference 文法推断graphic search 图搜索gravity gradient torque 重力梯度力矩group technology 成组技术guidance system 制导系统gyro drift rate 陀螺漂移率gyrostat 陀螺体Hall displacement transducer 霍尔式位移传感器hardware-in-the-loop simulation 半实物仿真harmonious deviation 和谐偏差harmonious strategy 和谐策略heuristic inference 启发式推理hidden oscillation 隐蔽振荡hierarchical chart 层次结构图hierarchical planning 递阶规划hierarchical control 递阶控制homeostasis 内稳态homomorphic model 同态系统horizontal decomposition 横向分解hormonal control 内分泌控制hydraulic step motor 液压步进马达hypercycle theory 超循环理论I controller 积分控制器identifiability 可辨识性IDSS (intelligent decision support system) 智能决策支持系统image recognition 图像识别impulse 冲量impulse function 冲击函数,脉冲函数inching 点动incompatibility principle 不相容原理incremental motion control 增量运动控制index of merit 品质因数inductive force transducer 电感式位移传感器inductive modeling method 归纳建模法industrial automation 工业自动化inertial attitude sensor 惯性姿态敏感器inertial coordinate system 惯性坐标系inertial wheel 惯性轮inference engine 推理机infinite dimensional system 无穷维系统information acquisition 信息采集infrared gas analyzer 红外线气体分析器inherent nonlinearity 固有非线性inherent regulation 固有调节initial deviation 初始偏差initiator 发起站injection attitude 入轨姿势input-output model 投入产出模型instability 不稳定性instruction level language 指令级语言integral of absolute value of error criterion 绝对误差积分准则integral of squared error criterion 平方误差积分准则integral performance criterion 积分性能准则integration instrument 积算仪器integrity 整体性intelligent terminal 智能终端interacted system 互联系统,关联系统interactive prediction approach 互联预估法,关联预估法interconnection 互联intermittent duty 断续工作制internal disturbance 内扰ISM (interpretive structure modeling) 解释结构建模法invariant embedding principle 不变嵌入原理inventory theory 库伦论inverse Nyquist diagram 逆奈奎斯特图inverter 逆变器investment decision 投资决策isomorphic model 同构模型iterative coordination 迭代协调jet propulsion 喷气推进job-lot control 分批控制joint 关节Kalman-Bucy filer 卡尔曼-布西滤波器knowledge accomodation 知识顺应knowledge acquisition 知识获取knowledge assimilation 知识同化KBMS (knowledge base management system) 知识库管理系统knowledge representation 知识表达ladder diagram 梯形图lag-lead compensation 滞后超前补偿Lagrange duality 拉格朗日对偶性Laplace transform 拉普拉斯变换large scale system 大系统lateral inhibition network 侧抑制网络least cost input 最小成本投入least squares criterion 最小二乘准则level switch 物位开关libration damping 天平动阻尼limit cycle 极限环linearization technique 线性化方法linear motion electric drive 直线运动电气传动linear motion valve 直行程阀linear programming 线性规划LQR (linear quadratic regulator problem) 线性二次调节器问题load cell 称重传感器local asymptotic stability 局部渐近稳定性local optimum 局部最优log magnitude-phase diagram 对数幅相图long term memory 长期记忆lumped parameter model 集总参数模型Lyapunov theorem of asymptotic stability 李雅普诺夫渐近稳定性定理macro-economic system 宏观经济系统magnetic dumping 磁卸载magnetoelastic weighing cell 磁致弹性称重传感器magnitude-frequency characteristic 幅频特性magnitude margin 幅值裕度magnitude scale factor 幅值比例尺manipulator 机械手man-machine coordination 人机协调manual station 手动操作器MAP (manufacturing automation protocol) 制造自动化协议marginal effectiveness 边际效益Mason's gain formula 梅森增益公式master station 主站matching criterion 匹配准则maximum likelihood estimation 最大似然估计maximum overshoot 最大超调量maximum principle 极大值原理mean-square error criterion 均方误差准则mechanism model 机理模型meta-knowledge 元知识metallurgical automation 冶金自动化minimal realization 最小实现minimum phase system 最小相位系统minimum variance estimation 最小方差估计minor loop 副回路missile-target relative movement simulator 弹体-目标相对运动仿真器modal aggregation 模态集结modal transformation 模态变换MB (model base) 模型库model confidence 模型置信度model fidelity 模型逼真度model reference adaptive control system 模型参考适应控制系统model verification 模型验证modularization 模块化MEC (most economic control) 最经济控制motion space 可动空间MTBF (mean time between failures) 平均故障间隔时间MTTF (mean time to failures) 平均无故障时间multi-attributive utility function 多属性效用函数multicriteria 多重判据multilevel hierarchical structure 多级递阶结构multiloop control 多回路控制multi-objective decision 多目标决策multistate logic 多态逻辑multistratum hierarchical control 多段递阶控制multivariable control system 多变量控制系统myoelectric control 肌电控制Nash optimality 纳什最优性natural language generation 自然语言生成nearest-neighbor 最近邻necessity measure 必然性侧度negative feedback 负反馈neural assembly 神经集合neural network computer 神经网络计算机Nichols chart 尼科尔斯图noetic science 思维科学noncoherent system 非单调关联系统noncooperative game 非合作博弈nonequilibrium state 非平衡态nonlinear element 非线性环节nonmonotonic logic 非单调逻辑nonparametric training 非参数训练nonreversible electric drive 不可逆电气传动nonsingular perturbation 非奇异摄动non-stationary random process 非平稳随机过程nuclear radiation levelmeter 核辐射物位计nutation sensor 章动敏感器Nyquist stability criterion 奈奎斯特稳定判据objective function 目标函数observability index 可观测指数observable canonical form 可观测规范型on-line assistance 在线帮助on-off control 通断控制open loop pole 开环极点operational research model 运筹学模型optic fiber tachometer 光纤式转速表optimal trajectory 最优轨迹optimization technique 最优化技术orbital rendezvous 轨道交会orbit gyrocompass 轨道陀螺罗盘orbit perturbation 轨道摄动order parameter 序参数orientation control 定向控制originator 始发站oscillating period 振荡周期output prediction method 输出预估法oval wheel flowmeter 椭圆齿轮流量计overall design 总体设计overdamping 过阻尼overlapping decomposition 交叠分解Pade approximation 帕德近似Pareto optimality 帕雷托最优性passive attitude stabilization 被动姿态稳定path repeatability 路径可重复性pattern primitive 模式基元PR (pattern recognition) 模式识别P control 比例控制器peak time 峰值时间penalty function method 罚函数法perceptron 感知器periodic duty 周期工作制perturbation theory 摄动理论pessimistic value 悲观值phase locus 相轨迹phase trajectory 相轨迹phase lead 相位超前photoelectric tachometric transducer 光电式转速传感器phrase-structure grammar 短句结构文法physical symbol system 物理符号系统piezoelectric force transducer 压电式力传感器playback robot 示教再现式机器人PLC (programmable logic controller) 可编程序逻辑控制器plug braking 反接制动plug valve 旋塞阀pneumatic actuator 气动执行机构point-to-point control 点位控制polar robot 极坐标型机器人pole assignment 极点配置pole-zero cancellation 零极点相消polynomial input 多项式输入portfolio theory 投资搭配理论pose overshoot 位姿过调量position measuring instrument 位置测量仪posentiometric displacement transducer 电位器式位移传感器positive feedback 正反馈power system automation 电力系统自动化predicate logic 谓词逻辑pressure gauge with electric contact 电接点压力表pressure transmitter 压力变送器price coordination 价格协调primal coordination 主协调primary frequency zone 主频区PCA (principal component analysis) 主成分分析法principle of turnpike 大道原理priority 优先级process-oriented simulation 面向过程的仿真production budget 生产预算production rule 产生式规则profit forecast 利润预测PERT (program evaluation and review technique) 计划评审技术program set station 程序设定操作器proportional control 比例控制proportional plus derivative controller 比例微分控制器protocol engineering 协议工程prototype 原型pseudo random sequence 伪随机序列pseudo-rate-increment control 伪速率增量控制pulse duration 脉冲持续时间pulse frequency modulation control system 脉冲调频控制系统pulse width modulation control system 脉冲调宽控制系统PWM inverter 脉宽调制逆变器pushdown automaton 下推自动机QC (quality control) 质量管理quadratic performance index 二次型性能指标qualitative physical model 定性物理模型quantized noise 量化噪声quasilinear characteristics 准线性特性queuing theory 排队论radio frequency sensor 射频敏感器ramp function 斜坡函数random disturbance 随机扰动random process 随机过程rate integrating gyro 速率积分陀螺ratio station 比值操作器reachability 可达性reaction wheel control 反作用轮控制realizability 可实现性,能实现性real time telemetry 实时遥测receptive field 感受野rectangular robot 直角坐标型机器人rectifier 整流器recursive estimation 递推估计reduced order observer 降阶观测器redundant information 冗余信息reentry control 再入控制regenerative braking 回馈制动,再生制动regional planning model 区域规划模型regulating device 调节装载regulation 调节relational algebra 关系代数relay characteristic 继电器特性remote manipulator 遥控操作器remote regulating 遥调remote set point adjuster 远程设定点调整器rendezvous and docking 交会和对接reproducibility 再现性resistance thermometer sensor 热电阻resolution principle 归结原理resource allocation 资源分配response curve 响应曲线return difference matrix 回差矩阵return ratio matrix 回比矩阵reverberation 回响reversible electric drive 可逆电气传动revolute robot 关节型机器人revolution speed transducer 转速传感器rewriting rule 重写规则rigid spacecraft dynamics 刚性航天动力学risk decision 风险分析robotics 机器人学robot programming language 机器人编程语言robust control 鲁棒控制robustness 鲁棒性roll gap measuring instrument 辊缝测量仪root locus 根轨迹roots flowmeter 腰轮流量计rotameter 浮子流量计,转子流量计rotary eccentric plug valve 偏心旋转阀rotary motion valve 角行程阀rotating transformer 旋转变压器Routh approximation method 劳思近似判据routing problem 路径问题sampled-data control system 采样控制系统sampling control system 采样控制系统saturation characteristics 饱和特性scalar Lyapunov function 标量李雅普诺夫函数SCARA (selective compliance assembly robot arm) 平面关节型机器人scenario analysis method 情景分析法scene analysis 物景分析s-domain s域self-operated controller 自力式控制器self-organizing system 自组织系统self-reproducing system 自繁殖系统self-tuning control 自校正控制semantic network 语义网络semi-physical simulation 半实物仿真sensing element 敏感元件sensitivity analysis 灵敏度分析sensory control 感觉控制sequential decomposition 顺序分解sequential least squares estimation 序贯最小二乘估计servo control 伺服控制,随动控制servomotor 伺服马达settling time 过渡时间sextant 六分仪short term planning 短期计划short time horizon coordination 短时程协调signal detection and estimation 信号检测和估计signal reconstruction 信号重构similarity 相似性simulated interrupt 仿真中断simulation block diagram 仿真框图simulation experiment 仿真实验simulation velocity 仿真速度simulator 仿真器single axle table 单轴转台single degree of freedom gyro 单自由度陀螺single level process 单级过程single value nonlinearity 单值非线性singular attractor 奇异吸引子singular perturbation 奇异摄动sink 汇点slaved system 受役系统slower-than-real-time simulation 欠实时仿真slow subsystem 慢变子系统socio-cybernetics 社会控制论socioeconomic system 社会经济系统software psychology 软件心理学solar array pointing control 太阳帆板指向控制solenoid valve 电磁阀source 源点specific impulse 比冲speed control system 调速系统spin axis 自旋轴spinner 自旋体stability criterion 稳定性判据stability limit 稳定极限stabilization 镇定,稳定Stackelberg decision theory 施塔克尔贝格决策理论state equation model 状态方程模型state space description 状态空间描述static characteristics curve 静态特性曲线station accuracy 定点精度stationary random process 平稳随机过程statistical analysis 统计分析statistic pattern recognition 统计模式识别steady state deviation 稳态偏差steady state error coefficient 稳态误差系数step-by-step control 步进控制step function 阶跃函数stepwise refinement 逐步精化stochastic finite automaton 随机有限自动机strain gauge load cell 应变式称重传感器strategic function 策略函数strongly coupled system 强耦合系统subjective probability 主观频率suboptimality 次优性supervised training 监督学习supervisory computer control system 计算机监控系统sustained oscillation 自持振荡swirlmeter 旋进流量计switching point 切换点symbolic processing 符号处理synaptic plasticity 突触可塑性synergetics 协同学syntactic analysis 句法分析system assessment 系统评价systematology 系统学system homomorphism 系统同态system isomorphism 系统同构system engineering 系统工程tachometer 转速表target flow transmitter 靶式流量变送器task cycle 作业周期teaching programming 示教编程telemechanics 远动学telemetering system of frequency division type 频分遥测系统telemetry 遥测teleological system 目的系统teleology 目的论temperature transducer 温度传感器template base 模版库tensiometer 张力计texture 纹理theorem proving 定理证明therapy model 治疗模型thermocouple 热电偶thermometer 温度计thickness meter 厚度计three-axis attitude stabilization 三轴姿态稳定three state controller 三位控制器thrust vector control system 推力矢量控制系统thruster 推力器time constant 时间常数time-invariant system 定常系统,非时变系统time schedule controller 时序控制器time-sharing control 分时控制time-varying parameter 时变参数top-down testing 自上而下测试topological structure 拓扑结构TQC (total quality control) 全面质量管理tracking error 跟踪误差trade-off analysis 权衡分析transfer function matrix 传递函数矩阵transformation grammar 转换文法transient deviation 瞬态偏差transient process 过渡过程transition diagram 转移图transmissible pressure gauge 电远传压力表transmitter 变送器trend analysis 趋势分析triple modulation telemetering system 三重调制遥测系统turbine flowmeter 涡轮流量计Turing machine 图灵机two-time scale system 双时标系统ultrasonic levelmeter 超声物位计unadjustable speed electric drive 非调速电气传动unbiased estimation 无偏估计underdamping 欠阻尼uniformly asymptotic stability 一致渐近稳定性uninterrupted duty 不间断工作制,长期工作制unit circle 单位圆unit testing 单元测试unsupervised learing 非监督学习upper level problem 上级问题urban planning 城市规划utility function 效用函数value engineering 价值工程variable gain 可变增益,可变放大系数variable structure control system 变结构控制vector Lyapunov function 向量李雅普诺夫函数velocity error coefficient 速度误差系数velocity transducer 速度传感器vertical decomposition 纵向分解vibrating wire force transducer 振弦式力传感器vibrometer 振动计viscous damping 粘性阻尼voltage source inverter 电压源型逆变器vortex precession flowmeter 旋进流量计vortex shedding flowmeter 涡街流量计WB (way base) 方法库weighing cell 称重传感器weighting factor 权因子weighting method 加权法Whittaker-Shannon sampling theorem 惠特克-香农采样定理Wiener filtering 维纳滤波work station for computer aided design 计算机辅助设计工作站w-plane w平面zero-based budget 零基预算zero-input response 零输入响应zero-state response 零状态响应zero sum game model 零和对策模型z-transform z变换。
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如何建立一个课堂氛围英语作文
如何建立一个课堂氛围英语作文Building a positive classroom environment is crucial for effective learning and student engagement. A well-structured and supportive classroom setting can foster a sense of community, encourage active participation, and promote academic success. In this essay, we will explore the key strategies and practices that educators can implement to establish a thriving classroom atmosphere.Firstly, it is essential to create a welcoming and inclusive classroom culture. Students should feel valued, respected, and safe to express their thoughts and opinions without fear of judgment or ridicule. Educators can achieve this by modeling respectful behavior, encouraging open communication, and celebrating diversity within the classroom. Simple gestures such as greeting students by name, displaying student work, and acknowledging individual contributions can go a long way in making students feel appreciated and part of the learning community.Secondly, establishing clear expectations and classroom routines is crucial for maintaining order and promoting a sense of structure. Byclearly communicating the rules, procedures, and behavioral expectations, students will understand the boundaries and feel more secure in their learning environment. Consistent implementation of these guidelines, paired with positive reinforcement, will help students internalize the desired behaviors and foster a sense of responsibility and self-discipline.Thirdly, fostering positive relationships between the teacher and students is paramount in creating a nurturing classroom atmosphere. Educators should make a concerted effort to get to know their students on a personal level, understanding their unique needs, interests, and learning styles. This connection can be strengthened through one-on-one conversations, sharing personal anecdotes, and demonstrating genuine care and concern for the well-being of each student. When students feel that their teacher genuinely cares about their success, they are more likely to be engaged, motivated, and willing to take risks in their learning.Furthermore, incorporating collaborative learning activities can greatly contribute to the development of a positive classroom environment. Group work, team-based projects, and peer-to-peer interactions encourage students to work together, share ideas, and support one another. This cooperative approach not only enhances academic learning but also promotes social-emotional skills such as communication, problem-solving, and conflict resolution. Bystructuring these collaborative experiences effectively, educators can cultivate a sense of community and camaraderie among their students.Another crucial element in establishing a positive classroom atmosphere is the physical environment itself. Educators should strive to create a visually appealing and organized classroom space that is conducive to learning. This can include displaying student work, incorporating colorful and engaging visual aids, and ensuring the classroom is well-lit and comfortable. Additionally, providing flexible seating arrangements, such as collaborative tables or individual workstations, can facilitate different learning modalities and encourage student interaction.Integrating technology and digital resources can also contribute to a positive classroom environment. When used effectively, technology can enhance lesson delivery, promote interactive learning, and foster student engagement. Educators should carefully select and implement technology tools that align with their instructional objectives and create opportunities for students to actively engage with the content. By seamlessly incorporating technology, educators can create a dynamic and stimulating learning environment that caters to the diverse needs and preferences of their students.Lastly, fostering a growth mindset within the classroom is essentialfor building a positive environment. Educators should encourage students to embrace challenges, learn from mistakes, and view setbacks as opportunities for growth and improvement. By providing constructive feedback, celebrating incremental progress, and emphasizing the importance of effort and perseverance, teachers can help students develop a resilient and self-motivated approach to their learning. This growth mindset not only enhances academic performance but also nurtures the development of essential life skills, such as problem-solving, critical thinking, and adaptability.In conclusion, establishing a positive classroom environment is a multifaceted endeavor that requires a comprehensive approach. By creating a welcoming and inclusive culture, setting clear expectations, fostering positive relationships, incorporating collaborative learning, optimizing the physical environment, integrating technology, and promoting a growth mindset, educators can cultivate a thriving learning community where students feel empowered, engaged, and supported in their academic and personal growth. Through these strategies, educators can create a classroom atmosphere that truly enables students to reach their full potential and become lifelong learners.。
作文:转换视角——从绿色到红色的创新描述
作文:转换视角——从绿色到红色的创新描述In the realm of artistic expression and innovative thinking, the colors green and red often hold symbolic significance. Traditionally, green is associated with nature, growth, and harmony, while red evokes passion, energy, and intensity. However, when we shift our perspectives, these colors can take on entirely new dimensions, transcending their conventional meanings. This essay will explore the potential for a transformative shift from a green perspective to a red one, delving into the realms of creativity, innovation, and societal impact.From a green perspective, let's begin with the natural world. Green symbolizes sustainability, eco-friendliness, and balance. In the context of environmental conservation, for instance, green initiatives focus on renewable energy sources, recycling, and reducing carbon footprints. Innovations like vertical gardens, smart cities, and electric vehicles are all manifestations of this mindset. The shift from green to red, in this case, could signify a bold, fiery approach to environmental activism. Red might represent the urgency for immediate action, the need to cut through bureaucratic red tape, or even the call for revolutionary changein policy-making.In the realm of art and design, green can represent minimalism and tranquility, while red often symbolizes boldness and originality. A creative transition from green to red could involve a radical departure from traditional aesthetics, embracing vibrant, expressive hues that challenge conventional norms. This could manifest in avant-garde art forms, bold fashion statements, or innovative architectural designs that dare to stand out.When it comes to innovation, the green mindset encourages incremental improvements and incremental change, whereas the red one calls for disruptive thinking. A green innovator might focus on incremental advancements in renewable technologies, while a red innovator would push boundaries by envisioning entirely new industries or business models. The shift from green to red innovation could lead to groundbreaking discoveries, such as the leap from solar panels to solar-powered aircraft or the advent of blockchain technology in finance.In the context of social issues, green often represents inclusivity and harmony, advocating for equal opportunities andsustainable development. A red shift, however, might highlight the need for bold interventions, highlighting systemic injustices, and demanding radical reforms. This could involve using red as a symbol of protest, resistance, or a call to arms against discrimination, inequality, or oppressive regimes.To summarize, the transition from a green to a red perspective is not merely a color change but a profound shift in mindset and approach. It encourages us to question established norms, embrace boldness, and strive for transformative change. As we navigate the complexities of our world, be it environmental, artistic, technological, or social, it is essential to recognize the power of redefining our perspectives and harnessing the colors that inspire us to innovate and create a better future.中文翻译:在艺术表达和创新思维的领域,绿色和红色通常具有象征意义。
建筑工程设计论文
建筑工程设计论文I. IntroductionWith the rapid growth of urbanization and infrastructure development, the field of architectural engineering has gained increasing attention. Design plays a crucial role in shaping the quality, functionality, and sustainability of any construction project. This paper aims to explore the key aspects and considerations in architectural engineering design.II. Planning and ConceptualizationThe initial phase of any architectural engineering design involves planning and conceptualization. This stage emphasizes the identification of project objectives, budget limitations, and client requirements. The architect needs to conduct thorough research, assess the site conditions, and consider various factors such as environmental impact, local regulations, and community needs.III. Preliminary DesignThe preliminary design phase focuses on translating the conceptual ideas into tangible plans. This includes creating architectural drawings, floor plans, and 3D models. The architect needs to consider the building's functionality, aesthetic appeal, and safety measures. Moreover, energy efficiency and sustainable design principles should also be integrated at this stage to minimize the environmental impact of the project.IV. Structural Analysis and DesignStructural analysis and design are crucial components of architectural engineering. Engineers utilize advanced software and mathematical calculations to determine the load-bearing capacity, stability, and structural integrity of the building. The design process involves selecting suitable materials, determining column and beam layouts, and ensuring resistance against natural disasters such as earthquakes and hurricanes.V. Mechanical and Electrical Systems DesignIn addition to structural considerations, architectural engineering design also involves the integration of mechanical and electrical systems. This encompasses the design of HVAC (Heating, Ventilation, and Air Conditioning), plumbing, and electrical systems. The architect collaborates with mechanical and electrical engineers to ensure an efficient and seamless integration of these systems within the building design.VI. Sustainability and Environmental ConsiderationsIn recent years, sustainability has become a primary focus in architectural engineering design. Architects aim to reduce the carbon footprint and enhance energy efficiency through various design strategies. These may include incorporating green building materials, optimizing natural lighting, utilizing renewable energy sources, and implementing rainwater harvesting systems. Sustainable design not only benefits the environment but also promotes long-term cost savings for building owners.VII. Construction DocumentationProper documentation is essential in architectural engineering design. This includes preparing detailed construction drawings, specifications, andbuilding codes compliance documents. These documents serve as a reference for contractors during the construction phase, ensuring that the design is accurately implemented and adheres to safety standards.VIII. Project Management and CoordinationArchitectural engineering design requires effective project management and coordination. Architects need to collaborate with various stakeholders, such as contractors, engineers, interior designers, and suppliers, to ensure smooth execution of the project. This involves regular site visits, progress monitoring, and addressing any design-related issues or modifications promptly.IX. ConclusionArchitectural engineering design plays a vital role in shaping the built environment. It involves careful planning, creative problem-solving, and a blend of aesthetics, functionality, and sustainability. By considering factors such as structural integrity, mechanical and electrical systems, and environmental impact, architects can create innovative and sustainable designs that meet the needs of the clients and the community at large.。
建筑及工业模型
建筑模型2021-1-11建筑模型(拼音:jian zhu mo xing 英语: architectural model )是建筑设计及都市规划方案中,建筑模型不可缺少的审查工程。
它以其特有的形象性表现出设计方案之空间效果。
因此,在国内外建筑、规划或展览等许多部门模型制作,已成为一门独立的学科。
建筑及环境艺术模型介于平面图纸与实际立体空间之间,它把两者有机的联系在一起,是一种三维的立体模式,建筑模型有助于设计创作的推敲,可以直观地表达设计意图,弥补图纸在表现上的局限性(见建筑制图)。
它既是设计师设计过程的一局部,同时也属于设计的一种表现形式,被广泛应用于城市建设、房地产开发、商品房销售、设计投标与招商合作等方面。
编辑本段根本特征使用易于加工的材料依照建筑设计图样或设计设想,按缩小的比例制成的样品。
建筑模型是在建筑设计中用以表现建筑物或建筑群的面貌和空间关系的一种手段。
对于技术先进、功能复杂、艺术造型富于变化的现代建筑,尤其需要用模型进行设计创作。
在初步设计即方案设计阶段的建筑模型称工作模型,制作可简略些,以便加工和拆卸。
材料可用油泥、硬纸板和塑料等。
在完成初步设计后,可以制作较精致的模型──展示模型(见图),供审定设计方案之用。
展示模型不仅要求表现建筑物接近真实的比例、造型、色彩、质感和规划的环境,还可揭示重点建筑房间的内部空间、室内陈设和结构、构造等。
展示模型一般用木板、胶合板、塑料板、有机玻璃和金属薄板等材料制成。
模型的制作务求到达表现设计创作的立意和构思。
制作材料:建筑模型制作的材料建筑模型制作的材料很多,主要分两大类:(1)、化工类:石英玻璃、海绵、有机玻璃、三氯甲烷、油柒、工程塑料、合成塑性版、泡沫板等。
(2)、植物类:木板、多层板、告密度板、竹条、纸板等(3)、灯光类:LED灯,二极管等。
编辑本段所需工具(1)加工方法:测量、画图、切折、切割、粘贴、组合、装饰(2)工具:剪刀、美工刀、铅笔、尺、圆规、量角器为何工业模型制作本钱高工业模型,一般可以等同为机械模型,就是把真实机器(设备按照一定比例做出来,到达外观及动态仿真的效果。
塔台模型制作作文英语
塔台模型制作作文英语Title: Crafting a Tower Model: A Comprehensive Guide。
Creating a tower model is an engaging and rewarding endeavor that combines artistic flair with structural ingenuity. Whether it's for a school project, hobby, or professional demonstration, constructing a tower model involves several key steps to ensure its stability, accuracy, and visual appeal.1. Planning and Research:Before diving into construction, it's essential to conduct thorough research on the tower you intend to model. Gather information about its architectural features, dimensions, materials used, and historical significance. This preliminary research lays the foundation for an accurate and detailed representation.2. Material Selection:Selecting the right materials is crucial for the success of your tower model. Consider factors such as durability, ease of handling, and availability. Common materials for tower models include cardboard, balsa wood, foam board, and even recycled materials like plasticbottles or straws. Choose materials that best suit your project's requirements and budget.3. Designing the Blueprint:Before cutting or assembling any materials, create a detailed blueprint or plan for your tower model. Sketch out the dimensions, proportions, and structural elements based on your research. Pay close attention to intricate details such as windows, doors, and decorative features to capture the essence of the tower accurately.4. Construction Process:Once you have a solid blueprint, begin the construction process by gathering your chosen materials and tools. Useprecision cutting tools like knives or scissors to shape the base and structural components of the tower. Pay attention to measurements and angles to ensure a precise fit.If your tower model features multiple levels orintricate details, consider constructing each section separately before assembling them together. This approach allows for greater precision and easier troubleshooting if any issues arise.5. Reinforcement and Stability:To ensure the stability of your tower model, incorporate reinforcement techniques such as bracing, gluing, or interlocking joints. Reinforce key stress points with additional layers of material or supportive structures to prevent collapse or deformation over time.Consider the weight distribution of your tower model and place heavier materials at the base to lower its center of gravity and enhance stability. Test the structuralintegrity of your model periodically throughout the construction process to identify and address any weak points.6. Finishing Touches:Once the basic structure of your tower model is complete, focus on adding finishing touches to enhance its aesthetic appeal. Apply paint, texture, and detailing to mimic the appearance of the actual tower accurately. Pay attention to color schemes, architectural features, and weathering effects to create a realistic representation.7. Presentation and Display:Finally, consider how you will present and display your tower model. Choose a suitable base or platform to showcase your creation, taking into account factors such as visibility, lighting, and audience interaction. Prepare informative labels or descriptions to accompany your model and provide context for viewers.In conclusion, creating a tower model is a rewarding and educational experience that allows you to explore the realms of architecture, engineering, and design. By following these key steps and techniques, you can construct a tower model that is not only visually stunning but also structurally sound and historically accurate.。
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1. Introduction
Real-time systems must not only behave functionally correct, but also satisfy real-time constraints. Examples of such systems include air traffic control systems, flexible manufacturing systd control systems. Due to the complexity and stringent time dependent requirements, these systems are extremely difficult and costly to develop. To ensure the correctness of real-time systems, many formal methods have been developed over the past two decades, which help remove ambiguity and inconsistency in the real-time system development process. The majority of the known formalisms can be classified into two broad classes, namely, operational (or model-based) and descriptive (or property-based). The former defines a system through explicitly representing and manipulating its states or behavior, while the latter describes what properties the system must satisfy without referring to the system’s states explicitly. These two classes of formalisms have relative strengths and merits against each other. Operational formalisms are better suited to describe systems as abstract programs, which can be formulated as parallel composition of subsystems. They are cumbersome for describing rules and constraints. Descriptive formalisms are more appropriate for specifying requirements and rules, but does not reflect the component interaction view relevant for design level specification of distributed systems [17]. Petri nets [14] are a well-known example of operational formalisms and temporal logic [13] is a well-known example of descriptive formalisms. Although formal methods have been extensively studied in the past two decades, their applications to realworld systems only have occurred in recent years [3] and their wide acceptance as a practical and effective software development approach still remains to be seen. Among many reasons, formal models are difficult to create, change and understand. The majority of published results
Incremental Architectural Modeling and Verification of Real-Time Concurrent Systems1
Yi Deng, Jiacun Wang and Rakesh Sinha School of Computer Science Florida International University Miami, FL 33199 e-mail: {deng, wangji, sinha}@
____________________ 1. This work was supported in part by the NSF under Grant No. HDR9707076, by Air Force Office of Scientific Research under Grant No. F49620-96-1-0221, and by Army Research Office under grant No. DAAG55-98-1-0428. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official polices or endorsements either expressed or implied by the above named Agencies.
on formal methods only used very small toy problems to demonstrate the intrinsic features of the formal models and the associated approaches and techniques, but failed in showing how to scale the techniques to realistic sized problems. Comparatively speaking, there have been far more research efforts and papers addressing theoretical issues than how to incorporate theories into software engineering methods. There is a lack of systematic ways to show how these techniques can work together in complex projects. Although many of the above problems are welldocumented in [3], research efforts towards representing and formalizing system development processes have only emerged in the recent years. The paper aims to address some of the above problems with a formal systematic approach (a Real-time Architectural Specification model – RAS in the sequel) to support real-time system development. RAS is built on complementary dual formalisms – time Petri nets [2] (TPN in the sequel) for specifying system behavior and real-time computation tree logic [6] (RTCTL in the sequel) for defining system constraints in a way that facilitates the compositional analysis of system properties. RAS supports a hierarchical component-based real-time system development approach that provides system scalability and maintainability, and ensures the consistency of system constraints among related components at the same abstraction level as well as different abstraction levels. By integrating TPN and RTCTL into a coherent architectural model, RAS provides a formal approach to systematically maintain time-critical system constraints during architecture refinements. Therefore, RAS not only facilitates the design traceability (allows us to determine the acceptable behavior of a system component with regard to the time constraint at any design level), but also supports a flexible and evolutionary design process such that system components can be refined and analyzed incrementally based on the constraints imposed on them. The advantages of using complementary dual formal methods have been known for a long time. Many research efforts exploring approaches in integrating complementary dual methods have been published, especially those integrating Petri nets and temporal logic ([8], [12]). However most of the approaches do not support hierarchical component-based development. On the other hand, there are research efforts specifically dealing with hierarchical and compositional formal specifications. The approaches most closely related to our work are those based on Petri nets: including hierarchical colored Petri nets [10] and hierarchical predicate transition nets [9], and several object-oriented Petri net models ([1], [11], [7]). However none of the above approaches provides the refinement and/or composition mechanisms as general as our approach. More specifically, (1) the refinement unit is a single net element (either a place or a transition) in the above hierarchical Petri net models, but can be a complete