544-class-presentation-evaluation-form

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EXAxt 450系列导电性分析仪说明书

Model ISC450GInductive conductivity analyzerGS 12D8B5-E-E2nd EditionThe new EXAxt 450 series has been designed to meet the highest market requirements of today’s industry. This series of analyzers is unique as it will no longer be the uncertainty factor of your quality demands, but instead will bring you to a higher level.The EXAxt will help you and guide you as the unique Human Machine Interface (HMI) will not only present you reliable process data, but diagnostics, trends, logbooks and step by step calibration routines to become your friend in analyticalmeasurement and help you gaining that higher level of quality.The instrument is easy to set up, very intuitive and can be used without the need of an instruction manual. The HMI has a clear menu structure in the language of your preference (English,French, German, Spanish, or Italian). The touch screen interface provides access to the display features. The main display gives three process values at the same time.This makes it possible to provide Conductivity, Concentration and Temperature reading at the same time. Predefined compensation matrices with integrated concentration tables makes it possible to have concentration readings readily available.The EXAxt is highly intelligent and continuously checks thesoftware, hardware and sensor system for irregularities. Not only will these irregularities be signaled through the main display as well as a signal output according Namur NE43, the transmitter will provide adequate instructions how to solve the errors.Features•Unique intuitive HMI menu structure in 6 languages.•Process data trending up to 2 weeks.•Predefined OIML standard solutions.•Predefined matrices for precise temperature compensation.•Two mA-outputs and four SPDT relay contacts with display indicators.•%weight on display.•HART ®Communications.•FM Class 1, Div. 2, Group ABCD, T6 for Ta -20 to 55ºCGeneralSpecificationsSystem Configuration2General SpecificationsGeneral Specifications of EXAxt ISC450A.Input specifications:Compatible with the Yokogawainductive conductivity ISC40 serieswith integrated temperature sensor:NTC30k or Pt1000.B.Input rangeConductivity: 0 to 1999 mS/cm at 25ºC (77 °F)reference temperature.Minimum: 1 µS/cm (at process temperature)Maximum:3 S/cm (at process temperature)Temperature: -20 to +140ºC (0 to 280 ºF).Cable length: max. 60 meters (200 feet)10 meters (35 feet) fixed sensor cable+50 meters (165 feet) WF10 extensioncable. Influence of cable can beadjusted by doing an AIR CAL withthe cable connected to a dry cell.C.Accuracy:Conductivity: ≤0.5 % ±1.0 µS/cm of readingTemperature: ≤0.3ºC (0.6ºF)pensation: ≤1%for NaCl, ≤3%for matrixmA-output circuits: ≤0.02 mA.Ambient temperature influence:0.05%/ºC ±0.05 µS/ºCStep response:≤4seconds for 90 %(for a 2 decade step).D.Transmission signalGeneral: Two isolated outputs of 4-20 mA. DCwith common negative. Maximum load600Ω.Bi-directional HART®digitalcommunication, superimposed on mA1(4-20mA) signal.Output function:Linear or 21-step table for Conductivity,Concentration or Temperature.Control function: PID control.Burn out function: Burn up (21.0mA) or burn down(3.6mA) to signal failure. acc.NAMUR NE43.Parameters:Adjustable damping:Expire timeHold: The mA-outputs are frozen to thelast/fixed value during calibration/commissioningCond. range: min span 10µs/cm≥10% of high valve(20mA)max span 1999 mS/cmE.Contact outputsGeneral: Four SPDT relay contacts with displayindicators.Switch capacity:Maximum values 100 VA,250 VAC, 5 Amps.Maximum values 50 Watts,250 VDC, 5 Amps.Status: High/Low process alarms, selectedfrom conductivity,resistvity,concentration or temperature.Configurable delay time and hysteresis.PID duty cycle or pulsed frequencycontrol.FAIL alarmControl function:On / Off:Adjustable damping:Expire timeHold: Contact can be used to signal the Holdsituation.Fail safe: Contact S4 is programmed as fail-safecontact.F.Contact input:Remote range switching to 10 timesthe programmed range.Contact open: Conductivity <10µS x C: Range 1Contact closed: Conductivity <100µS x C: Range 2(10 x Range 1)G.Temperature compensation:Automatic or manual, for temperatureranges mentioned under C (inputs).-Reference temp.: programmable from 0 to 100ºCor 30 - 210 °F (default 25ºC).H.Calibration:Semi-automatic calibration usingpre-configured OIML* (KCl) stanardtables, with automatic stability check.Manual adjustment to grab sample.*Organisation Internationale de Metrologie Legale,international recommendation nr. 56 standard solutionsreproducing the conductivities of electrolytes, 1981.I.Logbook:Software record of important eventsand diagnostic data readily available inthe display or through HART®.J.Display:Graphical Quarter VGA (320 x 240pixels) LCD with LED backlight andtouchscreen. Plain language messagesin English, German, French, Spanish,Italian and Swedish.K.Shipping detailsPackage size: 293 x 233 x 230 mm (L x W x D)(11.5 x 9.2 x 9.1 inch)Package weight: Approx 2.5 kg (5.5lbs)L.Housing:Cast aluminium case with chemicallyresistant coating, cover with flexiblepolycarbonate window.The colour ofthe case and cover is silvergrey. Cableentry via six M20 polyamide glands.Cable terminals are provided for up to2.5 mm2finished wires. Weatherresistant to IP66 and NEMA4Xstandards. Pipe, wall or panelmounting, using optional hardware. M.Power supply:85-265 VAC (±10%). Max 10VA,47-63Hz9.6-30 VDC (±10%), max 10WN.Regulatory complianceEMC: Meets directive 89/336/EECEmission conform EN 55022 class AImmunity conform IEC 61326-1 Low Voltage:Meets directive 73/23/EECConform IEC 61010-1, UL61010C-1and CSA 22.2 No. 1010.1, Installationcategory II, Pollution degree 2Certification for cCSAus, Kema KeurFM Class 1, Div. 2, Group ABCD, T6for T a-20 to 55ºCGS 12D8B5-E-E3pressThe zoom screen displays an easy graphic representation of the GoGoGoGoThe main screen displays:The primary variable in large font (user selectable)Other process variable(s) in small fontUnit symbolsTagnumber (user programmable)Process description (user programmable)Status of contact output(s)Maintenance screenThe maintenance screen gives access to calibration,commissioning and setup of the instrument. These levels can beprotected by passwords.Example:GS 12D8B5-E-E4GS 12D8B5-E-E5GS 12D8B5-E-E6GS 12D8B5-E-E7*/Q:Quality Inspection certificate is always included with the product.**If the tagnumber is predefined with the purchase, Yokogawa will inscript the tagplate with the specified tagnumber and program the tagnumber in the transmitter.Wiring DiagramGS 12D8B5-E-EPrinted in The Netherlands, 02-605 (A) QWall and pipe mounting diagramHousing dimensions and layout of glandsOption/UM. Universal mounting kit, panel mounting diagram。

CLAD 2014 模拟卷 2

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1._____2._____3._____4._____5._____6._____7._____8._____9._____10._____11._____12._____13._____14._____15._____16._____17._____18._____19._____20._____21._____22._____23._____24._____25._____26._____27._____28._____29._____30._____31._____32._____33._____34._____35._____36._____37._____38._____39._____40._____Q1: 下列哪个用户界面事件可使代码在LabVIEW执行该事件相关的默认操作前响应？A 鼠标按下B 前面板大小调整C 前面板关闭？D 值改变Q2: 将触发控件配置为转换的机械动作。

VI要求显示数量值，用于追踪触发发生“值改变”（值变为TRUE）事件的次数。

Evaluation of Recommendations__Rating-Prediction and Ranking

Evaluation of Recommendations: Rating-Prediction and RankingHarald Steck∗Netﬂix Inc.Los Gatos,Californiahsteck@netﬂABSTRACTThe literature on recommender systems distinguishes typi-cally between two broad categories of measuring recommen-dation accuracy:rating prediction,often quantiﬁed in terms of the root mean square error(RMSE),and ranking,mea-sured in terms of metrics like precision and recall,among others.In this paper,we examine both approaches in de-tail,andﬁnd that the dominating diﬀerence lies instead in the training and test data considered:rating prediction is concerned with only the observed ratings,while ranking typi-cally accounts for all items in the collection,whether the user has rated them or not.Furthermore,we show that predict-ing observed ratings,while popular in the literature,only solves a(small)part of the rating prediction task for any item in the collection,which is a common real-world prob-lem.The reasons are selection bias in the data,combined with data sparsity.We show that the latter rating-prediction task involves the prediction task’Who rated What’as a sub-problem,which can be cast as a classiﬁcation or ranking problem.This suggests that solving the ranking problem is not only valuable by itself,but also for predicting the rating value of any item.Categories and Subject DescriptorsH.2.8[Database Management]:Database Applications—Data MiningKeywordsRecommender Systems;Selection Bias;Rating Prediction; Ranking1.INTRODUCTIONThe idea of recommender systems(RS)is to automatically suggest items to each user that s/he mayﬁnd appealing,e.g.,∗Part of this work was done while at Bell-Labs,Alcatel-Lucent,Murray Hill,New Jersey.Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for proﬁt or commercial advantage,and that copies bear this notice and the full ci-tation on theﬁrst page.Copyrights for third-party components of this work must be honored.For all other uses,contact the owner/author(s).Copyright is held by the author/owner(s).RecSys’13,October12–16,2013,Hong Kong,China.ACM978-1-4503-2409-0/13/10./10.1145/2507157.2507160.see[2]for an overview.Prior to a user study or deployment, oﬄine testing on historical data provides a time and cost eﬃcient initial assessment of an RS.A meaningful oﬄine test ideally provides a good approximation to the utility function to be optimized by the deployed system(e.g.,user satisfaction,increase in sales).Recommendation accuracy is an important part of such an oﬄine metric.The literature on recommender systems typically distin-guishes between two ways of measuring recommendation ac-curacy:rating prediction,often measured in terms of the root mean square error(RMSE);and ranking,which is mea-sured in terms of metrics like precision and recall,among others.In this paper,we examine both kinds of accuracy measures in detail and identify diﬀerent variants. Concerning rating prediction,the literature has focused mainly on predicting the rating values for those items that a user has deliberately chosen to rate.This kind of data can be collected easily,and is hence readily available for oﬄine training and testing of recommender systems.Moreover,the root mean square error(RMSE),the most popular accuracy metric in the recommender literature,can easily be evalu-ated on the user-item pairs that actually have a rating value in the data.The objective of common real-world rating prediction tasks, however,is often diﬀerent from this scenario:typically,the goal is to predict the rating value for any item in the collec-tion,independent of the fact if a user rates it or not.The reason for the diﬀerence is that the ratings are missing not at random(MNAR)in the data sets typically collected[14,13, 22,23,17].For instance,on the Netﬂix web site,a personal-ized rating value is predicted for any video in the collection, as to provide the user with an indication of enjoyment if s/he watches it.These two variants of rating prediction motivated us to examine it in more detail.In theﬁrst part of this paper,we identify three variants of rating prediction,and show how they diﬀer from each other in terms of answers they provide to the recommendation problem and in terms of the degree of diﬃculty to solve them.Moreover,we show that many real-world rating prediction tasks require an additional sub-problem to be solved:as to which user deliberately chooses to assign a rating to which item in the collection(also known as’Who rated What’[1]).This sub-problem may be cast as a classiﬁcation or ranking problem.In the second part of this paper,we focus on ranking for solving real-world recommendation tasks.As just mo-tivated,ranking may not only be an important sub-problem of many real-world rating-prediction tasks,but ranking is arelevant approach on its own–for instance,when the objec-tive is to select a small subset of items from the entire collec-tion(top N recommendations).We examine three variants of ranking:ranking of all items in the collection,ranking of only those items that the user has not rated yet,and ranking of only those items that the user has already rated. Our experiments provide strong empirical evidence that the diﬀerence in ranking accuracy due to these variants is con-siderably larger than the diﬀerence due to diﬀerent ranking metrics.This suggests that the appropriate choice of train-ing and testing protocol,e.g.,which user-item pairs to con-sider,may be more important than the ranking metric for solving a given real-world ranking problem.The main contributions of this paper can be summarized as follows:1.we identify three variants of rating prediction.Weshow that the variant that is the main focus in the literature solves only a part of many real-world rating-prediction problems.This suggests further research is needed to develop rating prediction approaches for the (various)real-world tasks.2.concerning ranking,weﬁnd that in practice the choiceof an appropriate training and testing protocol makesa bigger diﬀerence than the choice of ranking metric.3.when comparing rating prediction with ranking,weﬁnd that their main diﬀerence is not caused by the diﬀerent metrics(e.g.,RMSE vs.ranking metrics).Instead,it is due to the user-item pairs that are taken into account:only the subset of user-item pairs wherea rating is observed in the data(e.g.,for RMSE),vs.all user-item pairs–whether the user deliberately chose to assign a rating value to an item or not.As main causes,we identify selection bias in the data combined with data sparsity.This paper is organized into two main parts:ﬁrst,we examine rating prediction,which we model as a two-stage problem:the user’s deliberate choice as to which item to rate,and which rating value to assign(Section2.1).This leads immediately to three variants of rating prediction(Sec-tion2.2),and we derive their general relationships and dif-ferences in Section2.3.In Section2.4,we discuss general implications on modeling the two-stage rating process,while Section2.5justiﬁes a particular model approach.In the sec-ond part of this paper(Section3),we outline three variants of ranking protocols(Section3.1),which is analogous to the variants for rating prediction.In Section3.2,we brieﬂy review various ranking metrics,so that we are ready to com-pare the eﬀects of ranking protocols and ranking metrics in our experiments in Section3.3.Weﬁnish with our Conclu-sions.2.RATING PREDICTIONThe root mean square error(RMSE)is by far the most popular accuracy measure in the recommender literature.It is commonly associated with the objective of rating predic-tion,i.e.,predicting the rating value that a user would assign to an item which s/he has not rated yet.In this section,we examine this objective in detail,and identify three variants with important diﬀerences.2.1Modeling the Decision to RateThere has been recent work on the fact that ratings are missing not at random(MNAR)in the data typically col-lected in recommender system applications[14,13,22,23, 17].The main reason for this selection bias in the observed data is that the users are free to deliberately choose which items to rate.This motivates us to model the rating-prediction task as shown in Figure1(left):In this graphical model,U denotes the random variable concerning users,and takes values u, where u∈{1,...,n}denotes user IDs,and n is the num-ber of users.Similarly,I is the random variable concerning items,taking values i∈{1,...,m},where m is the number of items in the collection.The decision if a user u deliberately chooses to rate item i is represented by the random variableC,which takes values c∈{c+,c−},where c+denotes that the user chooses to rate the item,while c−means that the user does not deliberately choose to rate the item.Finally,R is the random variable regarding rating values,taking val-ues r.For instance,r∈{1,...,5}in case of ratings on a scale from1to5stars like in the Netﬂix Prize competition[3]or MovieLens data[5].Note that C depends on the user and the item,such that this model is able to capture any reason that depends on u and i for choosing to give a rating(e.g.,the item’s popu-larity[23,17]).This is more general than the approaches presented in[13],where this decision does not depend on the user-item pair directly,but only on the rating value itself. The dependence on the rating value as a decision-criteria whether to provide a rating is included as a special case in the model in Figure1:using theory on graphical models,the graph in Figure1is Markov-equivalent to the graph where the orientation of the edge between C and R is reversed. Markov-equivalence means that both graphical models rep-resent the same probability distribution(even though the graphs look diﬀerent).The reason why the edge can be re-versed is that both nodes C and R in the graph have the same parents,namely U and I.This is a key diﬀerence to the graphs used in[13],where C is not connected to the user or item.Given that all random variables U,I,C,and R are dis-crete,we assume the most general probability distribution, the multinomial distribution.Note that this may be too general a model assumption as to learn a“good”model in practice,but in theﬁrst part of this paper,we are concerned with general insights that we can obtain without resorting to a more speciﬁc model.2.2Rating-Prediction VariantsRating prediction is concerned with predicting the rating value r that a user u assigns to an item i.It can be cast as predicting the probability of each rating value r that user u assigns to each item i,denoted by p(r u,i)=p(r|u,i).Based on the graphical model in Figure1,this can be decomposed as follows:p(r|u,i)(1)=p(r|c+,u,i)(2)p(c+|u,i)+p(r|c−,u,i)(3)p(c−|u,i)(1) This equation shows that there are three variants of rating prediction,i.e.,three probabilities concerning rating value r. Additionally,Eq.1also shows that these terms are linked via two terms regarding the probability that the user de-marginalization:Figure 1:When a user (node U )provides a rating value (node R )for an item (node I ),the user typ-ically has the freedom to deliberately choose which item(s)to rate.The user’s implicit decision as to whether rate an item or not,is represented by node C in the graphical model.The graph on the right hand side is obtained by marginalizing out U and I .liberately chooses to rate an item (’Who rated What’[1]),which is discussed at the end of this sub-section.We ﬁrst discuss the three variants of rating prediction:1.p (r |u,i ):This is the probability that user u assigns rat-ing value r to item i in the collection.It is important that there is no restriction on which item i it is;it can be any item in the collection.The ability to make an accurate rating prediction for any item i is extremely useful in practical applications,as it allows one to ﬁnd the items with the highest (predicted)enjoyment value from the entire collection .2.p (r |c +,u,i ):This is the probability that user u assigns rating value r to item i under the condition that the user deliberately chooses to rate this item.This con-dition may not hold for any item i in the collection.In fact,due to data sparsity,it may apply to only a (small)subset of items ,as shown in the next section.For instance,it is commonly observed in practice that users tend to assign ratings mainly to items they like or know [14,13,22,23,17].The reason is that the observed data is collected by allowing users to choose which items to rate.As a consequence,this conditional probability is learned when optimizing RMSE or MAE on the observed data.3.p (r |c −,u,i ):This is the probability that user u would assign rating value r to item i under the condition that the user would not deliberately choose to rate this item.In practice,this rating value could be elicited,for instance,by providing the user with some reward for completing this task.These ratings are typically costly to elicit,and burdensome for the user to provide.For this reason,ratings under this condition are typically not available,which obviously makes it diﬃcult to es-timate this probability distribution accurately.Due to data sparsity,this distribution applies to the vast ma-jority of user-item pairs,as discussed in more detail in the next section.In the rare case that they were collected,for instance in the Yahoo!Music data [13],it becomes obvious that this conditional distribution of rating values can be very diﬀerent from the rating distribution under the condition that the user delib-erately chose an item to rate.For instance,compare Figures 2(a)and (b)in [13],or Figure 1in [17].The decomposition in Eq.1also shows that,in addition,the two conditional probabilities p (r |c +,u,i )and p (r |c −,u,i )have to be estimated as to obtain valid rating predictions for any item in the collection.These probabilities capture whether user u deliberately chooses to rate item i or not.This shows their importance for rating prediction of any item,and motivates further research beyond the few works conducted so far,like the KDD Cup 2007,titled ’Who rated What’[1];there,one of the insights was that it was diﬃcult to make accurate predictions as to which user deliberately chooses to rate which items.2.3Relationship of the three VariantsThis section presents our main results concerning rating prediction,i.e.,a general relationship between the three vari-ants of rating prediction.2.3.1Marginal ProbabilitiesA necessary condition for accurate personalized rating pre-diction is that the average (and hence unpersonalized)rating predictions have to be accurate on average as well.This is outlined in detail in the following.To this end,let us con-sider p (r ),which is the probability of rating value r averaged over all users u and items i .Based on our graphical model in Figure 1,this can be derived by marginalizing over u and i in Eq.1:p (r )=c,u,ip (r |c,u,i )·p (c |u,i )·p (u )·p (i )(2)=cp (r |c )·p (c )(3)=p (r |c +)·p (c +)+p (r |c −)·p (c −)(4)=p (r |c −)+p (c +){p (r |c +)−p (r |c −)}(5)≈p (r |c −)(6)The line-by-line comments are as follows:equality (2)in the ﬁrst line follows from the deﬁnition of p (r )in terms of the graphical model in Figure 1.In equality (3),the random variables U and I are marginalized out from the probability distribution,so that we obtain the marginal dis-tribution over C and R ,which is also represented in Figure 1(right).This is valid [11]because the class of graphi-cal models representing probability distributions from the exponential family,like the multinomial distribution used here,is closed when marginalizing out over a variable that is connected with all its edges to the same clique 1in the graph,which is obviously the case in Figure 1.Equality (4)re-states the previous line,using c ∈{c +,c −},and equality (5)uses p (c −)=1−p (c +).The interesting approximation in the last line is accurate due the sparsity of the data ,which is typical for recommender applications:based on the graph,we havep (c +)=u,ip (c +|u,i )·p (u )·p (i ).(7)Any accurate prediction for p (c +)has to be close to the empirical estimate ˆp (c +),which is given byˆp (c +)=#ratings|U |·|I |=data sparsity1A clique is a completely connected sub-graph.where#ratings is the number of ratings in the data; |U|=n and|I|=m denote the number of users and items, respectively.Hence,p(c+)equals the data sparsity.In typ-ical applications the data sparsity is in the single-digit per-cent range,and often even one or more orders of magnitudes lower.For instance,it was about1%in the Netﬂix Prize data[3],which may be considered a relatively dense data set compared to other recommender applications.Hence, the approximation in Eq.6is accurate up to a few percent in general.This is orders of magnitudes more accurate than any real-world rating-prediction accuracy,e.g.,see RMSE for the Netﬂix Prize data[3]or MovieLens data[5].We hence arrive atConclusion1:Due to data sparsity,the rating prediction variants1.and3.,as outlined in Section2.2,have to be closely related.In contrast,variant2.is not required to be similar to variants1.or3.This suggests that there is a diﬀerence between the main focus of the literature(variant 2.),and many real-world rating-prediction problems(variants1.and3.).2.3.2Average RatingsThe average of the predicted rating values of a recom-mender system has an important impact on its accuracy in terms of RMSE(and similarly for MAE).This is outlined in the following.Analogous to Eq.(2)-(6),one obtains for the average rating value:E[R]=r,c,u,ir·p(r|c,u,i)·p(c|u,i)·p(u)·p(i)(8) =E[R|c−]+p(c+){E[R|c+]−E[R|c−]}(9)≈E[R|c−](10) where E[·]denotes the(conditional)expectation/average of the random variable R,i.e.,the rating values.Not sur-prisingly,this conﬁrms the previous relationships among the three variants of rating prediction:the average rating value of variants1.and3.has to be approximately the same due to data sparsity,while the average rating of variant2.is not required to be similar.In fact,there is strong empirical evidence,for instance, provided by the Yahoo!Music data2[13],suggesting that these average rating values can actually be very diﬀerent: Figures2(a)and(b)in[13]show that,on a rating scale from1to5,we have:•E[R|c−]≈E[R]≈1.8:this is the average rating when users where asked to rate songs that were randomly selected by Yahoo!(instead of selected by the users).These rating data may hence be considered as(approx-imately)fulﬁlling the missing at random condition[18, 12],such that its rating distribution provides an unbi-ased estimate of the(unknown)true distribution.•E[R|c+]≈2.9:this is the average rating when users were free to deliberately choose which items to rate.Evidently,this value is signiﬁcantly larger than1.8, suggesting a strong selection bias.2The actual Yahoo!Music data set was not available to us, so that we had to resort to the histograms published in[13].This diﬀerence in the average rating is extremely large–when compared to typical improvements in terms of RMSE, as outlined in the following.In the Netﬂix Prize data,the winning approach achieved RMSE≈0.86,which was so dif-ﬁcult to achieve that it required about three years of research work.In comparison,when simply predicting the average rating for all users and all items,one achieves RMSE≈1.0. This shows that an improvement in RMSE of0.14(on a rat-ing scale of1to5)may look small,but is actually very large. The numbers for MovieLens data are slightly diﬀerent,but also here,the improvement of a sophisticated approach over a simple approach in terms of RMSE is much less than1. This shows that a diﬀerence in the average predicted rat-ing of about1can easily dominate over the improvement of a more accurate recommender system.This becomes clear from the following thought experiment:Let us assume we train a recommender system on available rating data where the users were free to choose which items to rate.This is the typical scenario for collecting data.Let its RMSE(on a test set)be given by RMSE0;its average predicted rating value will be close to the average rating value in the training data, E[R|c+].This recommender system will hence be accurate for variant2.Now,let us consider the common real-world task of rating-prediction for any/each item in the collection (variant1):in this case,the(unknown)true average rating is E[R];now,the previously trained recommender system has a bias b=E[R|c+]−E[R].This results in a degraded RMSE:RMSE1=RMSE2+ing the numerical values from above,this suggests that RMSE1 1.Inter-estingly,this is worse than RMSE≈1,which can be achieved by an(unpersonalized)recommender system that predicts the average rating E[R].Even though the value E[R]may be unknown in many practical applications,it may also be possible to determine its value with some additional eﬀorts, for instance,by running a truly randomized experiment with a small subset of the users.This leads us to the following conclusion:Conclusion2:A recommender system with a low RMSE concerning the rating-prediction variant2,is not guaranteed to achieve a low RMSE regarding rating-prediction tasks1 or3.Among these three variants,variant1refers to a common real-world rating-prediction task,like e.g.,on the Netﬂix web site,which provides a personalized rating prediction for any video on its website.While many excellent solutions have been developed for variant2in the literature,this conclusion suggests that additional research is needed as to develop accurate prediction models for variant1.2.4Implications for ModelingConclusions1and2above show that a key challenge in building real-world recommender systems is that rating distributions p(R|U,I)(variant1)or p(R|c−,U,I)(variant 3)are relevant for the user experience in many real-world applications;in contrast,the data that are readily avail-able in large quantities follow the distribution p(R|c+,U,I) (i.e.,variant2).Given the practical importance of variants 1and3,it is crucial to build recommender systems that account for the items(and their ratings)that a user has not rated.Developing solutions for these new objectives of rating-prediction is an interesting area for future work.In the following,we outline a Bayesian approach that uses an informative prior distribution that incorporates the rat-ing distributions of the items that were not rated by a user.There are diﬀerent ways of deﬁning this prior distribution.First,one may run an experiment and elicit ratings for ran-dom items from users,like in the Yahoo!Music data.This provides a good estimate of the ratings concerning items that a user would not have rated otherwise.But it is also a costly experiment,and puts a burden onto users.Especially,if the items to rate are movies,it would be very time-consuming for users to watch random movies as they might not enjoy them.Second,one may use a prior distribution with a small number of free parameters,which can be then tuned to achieve the desired result,e.g.,by cross-validation.Such an approach was outlined in [22]for rating data,and a prob-abilistic version with prior distributions in [25].The lat-ter paper also shows that several rating values assigned to the same item i by a user u ,i.e.,a distribution of rating values p (R |u,i ),is equivalent to using the average rating ¯r u,i =E[R |u,i ]= r r ·p (r |u,i )when optimizing the least squares objective function.3This allows one to parameter-ize the prior distribution in terms of its mean.In [22],a single mean rating value is used for all users and items.It is an interesting result that,when this mean rating value is optimized as to achieve the best ranking 4performance on the Netﬂix test set,a mean rating value of about 2is found.This appears like a reasonable value for approximating the (unknown)mean rating value for the items that a user did not rate,as it agrees well with the results found for the Ya-hoo!Music data.Hence,this approach may provide a way for approximating relevant parameters of the (otherwise un-known)rating distribution concerning the items that a user did not rate.The approach in [22]is summarized in the fol-lowing section;it will also be used in our experiments later in this paper.2.5Model and TrainingIn this section,we brieﬂy review the low-rank matrix-factorization (MF)model named AllRank in [22],which was introduced as a point-wise ranking approach that accounts for all (unrated)items for each user.However,one can also view it from the perspective of rating prediction:the ob-served ratings in the data (i.e.,p (r |c +,u,i )),are comple-mented by imputed ratings with low values (as to approxi-mate the unknown p (r |c −,u,i )).As a result,an approxima-tion to p (r |u,i )is achieved,which applies to any item in the collection.For comparison,also the standard MF approach of minimizing RMSE on the observed ratings is discussed,and denoted by MF-RMSE.The matrix of predicted ratings ˆR∈R m ×n ,where m de-notes the number of items,and n the number of users,is modeled asˆR=r 0+P Q ,(11)with matrices P ∈R m ×j 0and Q ∈R n ×j 0,where the rank j 0 m,n ;and r 0∈R is a (global)oﬀset.3Note that this holds only for optimization/maximum-a-posteriori estimates,but does not apply for estimating the full posterior distribution,e.g.,by means of Markov Chain Monte Carlo.4Note that,in contrast to RMSE,(some)ranking measures can be applied to the entire collection of items,and hence account for both items with and without ratings assigned by the user.For computationally eﬃcient training,the square error (with the usual L2-norm regularization)is optimized: all uall iW i,u ·R o&i i,u −ˆRi,u 2+λj 0j =1P 2i,j +Q 2u,j,(12)where ˆRi,u denotes the ratings predicted by the model in Eq.11;and R o&ii,uequals the actual rating value in the training data if observed for item i and user u ;otherwise thevalue R o&ii,u=r 0∈R is imputed.The key is in the training weights,W i,u =1if R obsi,u observedw 0otherwise.(13)In AllRank [22],the weight assigned to the imputedratings is positive ,i.e.,w 0>0[22],and the imputed rat-ing value is lower than the observed average rating in the data.This captures the fact that the (unknown)probability p (r |c −,u,i )is larger for lower rating values,compared to the observed probabilities p (r |c +,u,i ).In contrast,MF-RMSE is obtained for w 0=0.This seemingly small diﬀerence has the important eﬀect that AllRank is trained on a combi-nation of both distributions,p (r |c −,u,i )and p (r |c +,u,i ),geared towards approximating p (r |u,i ).In contrast,MF-RMSE is optimized towards p (r |c +,u,i ).Due to this diﬀer-ence,in [22]AllRank was found to achieve a considerably larger top-N hit-rate or recall when ranking all items in the collection,compared to various state-of-the-art approaches optimized on the observed ratings only,see results in [22]and compare to [10,4].Alternating least squares can be used for computationally eﬃcient training of AllRank [22]and MF-RMSE.We found the following values for the tuning parameters in Eq.12for the Netﬂix data (see also [22])to yield the best results:r 0=2,w 0=0.005and λ=0.04for AllRank;and λ=0.07for MF-RMSE (and w 0=0);we use rank j o =50for both approaches.While there are several state-of-the-art approaches,e.g.,[6,9,10,16,19],that achieve a lower RMSE on observed rat-ings than MF-RMSE does,note that their test performances on all (unrated)items is quite similar to each other,e.g.,see [10,4].This is interesting,as some of these approaches,like [16,19,10,20],actually account in some sense for the MNAR nature of the data–but in the context of observed ratings (minimizing RMSE).Note that AllRank does not only apply to explicit feedback data,but can also be used for implicit feedback data,similar to [8,15].3.RANKINGIn this section,we examine ranking as a means for assess-ing recommendation accuracy.Ranking is a useful approach when the recommendation task is,for each user,to pick a small number,say N ,of items from among all available items in the collection.We divide the ranking task into two parts in this section:ranking protocols and ranking metrics,as outlined and compared to each other in the following.3.1Ranking ProtocolsWith ranking protocols,we refer to the fact as to which items are ranked.One may distinguish between two slightly。

ford 福特全合成手动变速箱油 msds说明书

SAFETY DATA SHEET1. IdentificationFull Synthetic Manual Transmission FluidProduct identifierOther means of identification175246FIR No.Transmission fluidRecommended useNone known.Recommended restrictionsManufacturer/Importer/Supplier/Distributor informationCompany Name Ford Motor CompanyAddress Attention: MSDS Information, P.O. Box 1899Dearborn, Michigan 48121USATelephone1-800-392-3673SDS Information1-800-448-2063 (USA and Canada)Emergency telephonenumbersPoison Control Center: USA and Canada: 1-800-959-3673INFOTRAC (Transportation): USA and Canada 1-800-535-50532. Hazard(s) identificationNot classified.Physical hazardsNot classified.Health hazardsNot classified.Environmental hazardsNot classified.OSHA defined hazardsLabel elementsNone.Hazard symbolSignal word None.Hazard statement The mixture does not meet the criteria for classification.Precautionary statementPrevention Observe good industrial hygiene practices.Response Wash hands after handling.Storage Store away from incompatible materials.Disposal Dispose of waste and residues in accordance with local authority requirements.Hazard(s) not otherwise classified (HNOC)Direct contact with eyes may cause temporary irritation. Frequent or prolonged contact may defat and dry the skin, leading to discomfort and dermatitis. Inhalation of vapors/fumes generated by heating this product may cause respiratory irritation with throat discomfort, coughing or difficulty breathing.Supplemental information None.3. Composition/information on ingredientsMixturesCAS numberCommon name and synonymsChemical name%68649-42-3 Phosphorodithioic acid,O,O-di-C1-14-alkyl esters, zincsalts2 - 5Specific chemical identity and/or exact percentage (concentration) of composition has been withheld as a trade secret. 4. First-aid measuresMove to fresh air. Call a physician if symptoms develop or persist.InhalationWash off with soap and water. Get medical attention if irritation develops and persists.Skin contact Rinse with water. Get medical attention if irritation develops and persists.Eye contact Rinse mouth. Get medical attention if symptoms occur.IngestionDirect contact with eyes may cause temporary irritation.Most importantsymptoms/effects, acute and delayedTreat symptomatically.Indication of immediatemedical attention and special treatment needed Ensure that medical personnel are aware of the material(s) involved, and take precautions to protect themselves.General information5. Fire-fighting measuresFoam. Powder. Carbon dioxide (CO2).Suitable extinguishing media Do not use water jet as an extinguisher, as this will spread the fire.Unsuitable extinguishing mediaDuring fire, gases hazardous to health may be formed. Upon decomposition, this product emits carbon monoxide, carbon dioxide and/or low molecular weight hydrocarbons.Specific hazards arising from the chemicalSelf-contained breathing apparatus and full protective clothing must be worn in case of fire.Special protective equipment and precautions for firefighters Move containers from fire area if you can do so without risk.Fire fightingequipment/instructions Use standard firefighting procedures and consider the hazards of other involved materials.Specific methods No unusual fire or explosion hazards noted.General fire hazards6. Accidental release measuresAvoid inhalation of vapors or mists. Avoid contact with eyes, skin, and clothing. Keep unnecessary personnel away. For personal protection, see section 8 of the SDS.Personal precautions,protective equipment and emergency procedures The product is immiscible with water and will spread on the water surface.Large Spills: Stop the flow of material, if this is without risk. Dike the spilled material, where this is possible. Absorb in vermiculite, dry sand or earth and place into containers. Following product recovery, flush area with water.Small Spills: Wipe up with absorbent material (e.g. cloth, fleece). Clean surface thoroughly to remove residual contamination.Never return spills to original containers for re-use. For waste disposal, see section 13 of the SDS.Methods and materials for containment and cleaning upAvoid discharge into drains, water courses or onto the ground.Environmental precautions7. Handling and storageAvoid breathing mist or vapor. Avoid contact with eyes, skin, and clothing. Observe good industrial hygiene practices. For personal protection, see section 8 of the SDS.Precautions for safe handling Store in original tightly closed container. Store away from incompatible materials (see Section 10of the SDS).Conditions for safe storage,including any incompatibilities8. Exposure controls/personal protectionOccupational exposure limitsNot established.No biological exposure limits noted for the ingredient(s).Biological limit values Use adequate ventilation to control airborne concentrations below the exposure limits/guidelines. If user operations generate a vapor, dust and/or mist, use process enclosure, appropriate local exhaust ventilation, or other engineering controls to control airborne levels below the recommended exposure limits/guidelines.Appropriate engineering controlsIndividual protection measures, such as personal protective equipmentWear safety glasses with side shields (or goggles).Eye/face protectionSkin protectionSuitable chemical protective gloves should be worn when the potential exists for skin exposure.The choice of an appropriate glove does not only depend on its material but also on other quality features and is different from one producer to the other. Nitrile gloves are recommended.Hand protectionWear appropriate chemical resistant clothing if applicable.OtherIf engineering controls do not maintain airborne concentrations to a level which is adequate to protect worker health, an approved respirator must be worn. Respirator selection, use and maintenance should be in accordance with the requirements of OSHA Respiratory Protection Standard 29 CFR 1910.134 and/or Canadian Standard CSA Z94.4.Respiratory protectionWear appropriate thermal protective clothing, when necessary.Thermal hazards Always observe good personal hygiene measures, such as washing after handling the material and before eating, drinking, and/or smoking. Routinely wash work clothing and protective equipment to remove contaminants.General hygiene considerations9. Physical and chemical propertiesAppearanceLiquid.Physical state Liquid.Form Amber.Color Oily.OdorOdor threshold Not available.pHNot available.Melting point/freezing point Not available.Initial boiling point and boiling range Not available.Flash point 366.8 °F (186.0 °C) Cleveland Closed Cup Evaporation rate Not available.Not applicable.Flammability (solid, gas)Upper/lower flammability or explosive limits Flammability limit - lower(%)Not available.Flammability limit - upper (%)Not available.Explosive limit - lower (%)Not available.Explosive limit - upper (%)Not available.Vapor pressure Not available.Vapor density Not available.Relative density0.872Relative density temperature 59 °F (15 °C)Solubility(ies)Solubility (water)Insoluble Partition coefficient (n-octanol/water)> 3Auto-ignition temperature Not available.Decomposition temperature Not available.Viscosity76 cSt Viscosity temperature 104 °F (40 °C)Other informationDensity0.87 g/cm³ @ 15°C10. Stability and reactivityThe product is stable and non-reactive under normal conditions of use, storage and transport.Reactivity Material is stable under normal conditions.Chemical stabilityNo dangerous reaction known under conditions of normal use.Possibility of hazardous reactionsContact with incompatible materials.Conditions to avoid Strong oxidizing agents.Incompatible materials Upon decomposition, this product emits carbon monoxide, carbon dioxide and/or low molecular weight hydrocarbons.Hazardous decomposition products11. Toxicological informationInformation on likely routes of exposureInhalationInhalation of vapors/fumes generated by heating this product may cause respiratory irritation with throat discomfort, coughing or difficulty breathing. Prolonged inhalation may be harmful.Skin contact Frequent or prolonged contact may defat and dry the skin, leading to discomfort and dermatitis.Eye contact Direct contact with eyes may cause temporary irritation.IngestionIngestion may cause gastrointestinal irritation, nausea, vomiting and diarrhea.Symptoms related to the physical, chemical andtoxicological characteristics Direct contact with eyes may cause temporary irritation.Information on toxicological effectsAcute toxicityNot expected to be hazardous by OSHA criteria.Prolonged skin contact may cause temporary irritation.Skin corrosion/irritation Direct contact with eyes may cause temporary irritation.Serious eye damage/eye irritationRespiratory or skin sensitizationRespiratory sensitizationNot a respiratory sensitizer.This product is not expected to cause skin sensitization.Skin sensitization No data available to indicate product or any components present at greater than 0.1% are mutagenic or genotoxic.Germ cell mutagenicity CarcinogenicityThis product is not considered to be a carcinogen by IARC, ACGIH, NTP, or OSHA. Base oil severely refined: Not carcinogenic in animal studies. Representative material passes IP-346,Modified Ames test, and/or other screening tests.This product is not expected to cause reproductive or developmental effects.Reproductive toxicitySpecific target organ toxicity -single exposureNot classified.Specific target organ toxicity -repeated exposure Not classified.Aspiration hazard Not an aspiration hazard.Chronic effectsProlonged inhalation may be harmful.12. Ecological informationThe product is not classified as environmentally hazardous. However, this does not exclude the possibility that large or frequent spills can have a harmful or damaging effect on the environment.EcotoxicityNo data is available on the degradability of this product. Persistence and degradabilityBioaccumulative potentialPartition coefficient n-octanol / water (log Kow)Full Synthetic Manual Transmission Fluid > 33No data available.Mobility in soil Other adverse effectsNo other adverse environmental effects (e.g. ozone depletion, photochemical ozone creation potential, endocrine disruption, global warming potential) are expected from this component.13. Disposal considerationsCollect and reclaim or dispose in sealed containers at licensed waste disposal site. Don't pollute.Conserve resources. Return used oil to collection centers.Disposal instructions Dispose in accordance with all applicable regulations.Local disposal regulationsThe waste code should be assigned in discussion between the user, the producer and the waste disposal company.Hazardous waste code Dispose of in accordance with local regulations. Empty containers or liners may retain some product residues. This material and its container must be disposed of in a safe manner (see:Disposal instructions).Waste from residues / unused productsSince emptied containers may retain product residue, follow label warnings even after container is emptied. Empty containers should be taken to an approved waste handling site for recycling or disposal.Contaminated packaging14. Transport informationDOTNot regulated as dangerous goods.IATANot regulated as dangerous goods.IMDGNot regulated as dangerous goods.Not established.Transport in bulk according toAnnex II of MARPOL 73/78 and the IBC Code15. Regulatory informationThis product is not known to be a "Hazardous Chemical" as defined by the OSHA Hazard Communication Standard, 29 CFR 1910.1200.US federal regulationsTSCA Section 12(b) Export Notification (40 CFR 707, Subpt. D)Not regulated.CERCLA Hazardous Substance List (40 CFR 302.4)Phosphorodithioic acid, O,O-di-C1-14-alkyl esters, zinc salts (CAS 68649-42-3)Listed.SARA 304 Emergency release notificationNot regulated.Superfund Amendments and Reauthorization Act of 1986 (SARA)Immediate Hazard - No Delayed Hazard - No Fire Hazard - NoPressure Hazard - No Reactivity Hazard - NoHazard categoriesSARA 302 Extremely hazardous substanceNot listed.NoSARA 311/312 Hazardous chemicalSARA 313 (TRI reporting)Chemical name% by wt.CAS number Phosphorodithioic acid, O,O-di-C1-14-alkyl esters, zinc salts5.00000000000068649-42-3Other federal regulationsClean Air Act (CAA) Section 112 Hazardous Air Pollutants (HAPs) ListNot regulated.Clean Air Act (CAA) Section 112(r) Accidental Release Prevention (40 CFR 68.130)Not regulated.Not regulated.Safe Drinking Water Act(SDWA)California Safe Drinking Water and Toxic Enforcement Act of 1986 (Proposition 65): This material is not known to contain any chemicals currently listed as carcinogens or reproductive toxins.US state regulations International InventoriesAll components are listed or are exempt from listing on the Toxic Substances Control Act Inventory.16. Other information, including date of preparation or last revision02-08-2017Issue dateVersion 01Health: 1Flammability: 1Physical hazard: 0HMIS® ratingsHealth: 1Flammability: 1Instability: 0NFPA ratingsThis document was prepared by FCSD-Toxicology, Ford Motor Company, Fairlane Business Park IV, 17225 Federal Drive, Allen Park, MI 48101, USA, based in part on information provided by the manufacturer. The information on this data sheet represents our current data and is accurate to the best of our knowledge as to the proper handling of this product under normal conditions and in accordance with the application specified on the packaging and/or technical guidance literature.Any other use of the product which involves using the product in combination with any other product or any other process is the responsibility of the user. To the extent that there are anydifferences between this product’s Safety Data Sheet (SDS) and the consumer packaged product labels, the SDS should be followed.Preparation Information and DisclaimerXT-M5-QSPart number(s)。

Form_04_New_work_item_proposal

Form 4: New Work Item ProposalCirculation date:2017-09-13Closing date for voting: 2017-12-06 Reference number: N/A(to be given by Central Secretariat)Proposer (e.g. ISO member body or A liaison organization)JISC ISO/TC N/A/SC N/A☒ Proposal for a new PCSecretariatJISCN Click here to enter text.A proposal for a new work item within the scope of an existing committee shall be submitted to the secretariat of that committee with a copy to the Central Secretariat and, in the case of a subcommittee, a copy to the secretariat of the parent technical committee. Proposals not within the scope of an existing committee shall be submitted to the secretar iat of the ISO Technical Management Board.The proposer of a new work item may be a member body of ISO, the secretariat itself, another technical committee or subcommittee, an organization in liaison, the Technical Management Board or one of the advisory groups, or the Secretary-General.The proposal will be circulated to the P-members of the technical committee or subcommittee for voting, and to the O-members for information.IMPORTANT NOTE:Proposals without adequate justification risk rejection or referral to originator.Guidelines for proposing and justifying a new work item are contained in Annex C of theISO/IEC Directives, Part 1.☒ The proposer has considered the guidance given in the Annex C during the preparation of the NWIP.Proposal (to be completed by the proposer)Title of the proposed deliverable.English title:Indirect, temperature-controlled refrigerated delivery services – Land transport ofparcels with intermediate transferFrench title (if available):N/A(In the case of an amendment, revision or a new part of an existing document, showthe reference number and current title)。

IBM Maximo 资产配置管理器 7.6.2 快速入门指南说明书

IBM Maximo Asset Configuration ManagerVersion 7.6.2Quick Start GuideThis guide introduces IBM Maximo Asset Configuration Manager Version 7.6.2, provides a link to a list of prerequisite software, gets you started with a typical installation, and provides a roadmap to other important information.National Language Version:To obtain the Quick Start Guide in other languages, print the language-specific PDF file from the installation media.Product overviewIBM®Maximo®Asset Configuration Manager provides organizations with features to manage the builds of high-value, complex, and regulated assets such as aircraft, locomotives, or missiles. Maximo Asset Configuration Manager is a rules-based configuration management system that is based on MIL-STD-1388-2B, a United States military standard that uses the Logistics Support Analysis Record (LSAR).Before you install the product, read the IBM Maximo Asset Configuration Manager version 7.6.2 Installation Guideexisting release notes for this product (/support/knowledgecenter/SSLKSJ_7.6.2/com.ibm.acm.doc/common/relnotes.html). Release notes contain the latest information that is relevant to the installation of this product. If no additional information is available, this link returns no search results.For complete information, including installation instructions, see the Maximo Asset Configuration Manager in IBMKnowledge Center (/support/knowledgecenter/SSLKSJ_7.6.2/com.ibm.acm.doc/welcome.html).2Step 2: Plan the installationYou install Maximo Asset Configuration Manager on a Microsoft Windows administrative workstation. Ensure that IBM Maximo Asset Management version 7.6.0.3 is installed on the same administrative workstation where you plan to install Maximo Asset Configuration Manager version 7.6.2, and in the same language as Maximo Asset Configuration Manager version 7.6.2.You must have system administrator rights and privileges to install the product.For information about the hardware, software, and network requirements for your product, see the System Requirements section in the Overview and Planning page on the Maximo Asset Management wiki (https:///developerworks/community/wikis/home?lang=en#!/wiki/IBM%20Maximo%20Asset%20Management/page/Overview%2 0and%20planning)3Step 3: Install the productTo install Maximo Asset Configuration Manager:1.Review the software requirements.2.If you are upgrading to Maximo Asset Configuration Manager version 7.6.2 from an earlier version of Maximo AssetConfiguration Manager, see the Upgrade Guide for IBM MaximoProducts on the IBM Support Portal(/support/entry/portal/Overview/Software/Tivoli/Maximo_Asset_Management).3.Prepare to install.4.Install Maximo Asset Configuration Manager.5.For Oracle WebLogic Server environments only: you must deploy the Enterprise Application Archive (EAR) files.6.For the IBM WebSphere®Application Server environments: The EAR files are installed when you install the processautomation engine. If this task was deferred during the Maximo Asset Configuration Manager installation, deploy the EAR files.Detailed instructions are in the IBM Maximo Asset Configuration Manager 7.6.2 Installation Guide in IBM Knowledge Center (/support/knowledgecenter/SSLKSJ_7.6.2/com.ibm.acm.doc/welcome.html).IBM®More informationAfter you install the product, use IBM Knowledge Center to learn more about the product.For more information, see the following resources:v Product support (/support/entry/portal/Overview/Software/Tivoli/Maximo_Asset_Configuration_Manager)v IBM User Communities (https:///social/aggregator/ibm)Maximo Asset Configuration Manager Licensed Materials - Property of IBM. © Copyright IBM Corp. 2008, 2015. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.IBM, the IBM logo, and ®are trademarks or registered trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” (/legal/copytrade.shtml).Printed in Ireland。

大学英语课前展示PPt

Interactive Design
Utilizing multimedia resources
In speeches, multimedia resources can be utilized to increase interactivity. For example, using tools such as PPT, video, audio, etc., to guide the audience to participate in discussions or answer questions by displaying pictures, playing audio or video, etc.
The theme should resource students to think creatively and Lately, promoting diversity thinking and creativity
The theme should be updated regularly to keep space with the latest developments in the field of English education, allowing students to gain a footprint in the front of knowledge
01
Theme selection
Theme scope
The theme should be closely related to college English learning, such as literature, culture, language skills, etc
The theme should cover a wide range of topics to allow students to gain a comprehensive understanding of the subject matter

OSHA现场作业手册说明书

DIRECTIVE NUMBER: CPL 02-00-150 EFFECTIVE DATE: April 22, 2011 SUBJECT: Field Operations Manual (FOM)ABSTRACTPurpose: This instruction cancels and replaces OSHA Instruction CPL 02-00-148,Field Operations Manual (FOM), issued November 9, 2009, whichreplaced the September 26, 1994 Instruction that implemented the FieldInspection Reference Manual (FIRM). The FOM is a revision of OSHA’senforcement policies and procedures manual that provides the field officesa reference document for identifying the responsibilities associated withthe majority of their inspection duties. This Instruction also cancels OSHAInstruction FAP 01-00-003 Federal Agency Safety and Health Programs,May 17, 1996 and Chapter 13 of OSHA Instruction CPL 02-00-045,Revised Field Operations Manual, June 15, 1989.Scope: OSHA-wide.References: Title 29 Code of Federal Regulations §1903.6, Advance Notice ofInspections; 29 Code of Federal Regulations §1903.14, Policy RegardingEmployee Rescue Activities; 29 Code of Federal Regulations §1903.19,Abatement Verification; 29 Code of Federal Regulations §1904.39,Reporting Fatalities and Multiple Hospitalizations to OSHA; and Housingfor Agricultural Workers: Final Rule, Federal Register, March 4, 1980 (45FR 14180).Cancellations: OSHA Instruction CPL 02-00-148, Field Operations Manual, November9, 2009.OSHA Instruction FAP 01-00-003, Federal Agency Safety and HealthPrograms, May 17, 1996.Chapter 13 of OSHA Instruction CPL 02-00-045, Revised FieldOperations Manual, June 15, 1989.State Impact: Notice of Intent and Adoption required. See paragraph VI.Action Offices: National, Regional, and Area OfficesOriginating Office: Directorate of Enforcement Programs Contact: Directorate of Enforcement ProgramsOffice of General Industry Enforcement200 Constitution Avenue, NW, N3 119Washington, DC 20210202-693-1850By and Under the Authority ofDavid Michaels, PhD, MPHAssistant SecretaryExecutive SummaryThis instruction cancels and replaces OSHA Instruction CPL 02-00-148, Field Operations Manual (FOM), issued November 9, 2009. The one remaining part of the prior Field Operations Manual, the chapter on Disclosure, will be added at a later date. This Instruction also cancels OSHA Instruction FAP 01-00-003 Federal Agency Safety and Health Programs, May 17, 1996 and Chapter 13 of OSHA Instruction CPL 02-00-045, Revised Field Operations Manual, June 15, 1989. This Instruction constitutes OSHA’s general enforcement policies and procedures manual for use by the field offices in conducting inspections, issuing citations and proposing penalties.Significant Changes∙A new Table of Contents for the entire FOM is added.∙ A new References section for the entire FOM is added∙ A new Cancellations section for the entire FOM is added.∙Adds a Maritime Industry Sector to Section III of Chapter 10, Industry Sectors.∙Revises sections referring to the Enhanced Enforcement Program (EEP) replacing the information with the Severe Violator Enforcement Program (SVEP).∙Adds Chapter 13, Federal Agency Field Activities.∙Cancels OSHA Instruction FAP 01-00-003, Federal Agency Safety and Health Programs, May 17, 1996.DisclaimerThis manual is intended to provide instruction regarding some of the internal operations of the Occupational Safety and Health Administration (OSHA), and is solely for the benefit of the Government. No duties, rights, or benefits, substantive or procedural, are created or implied by this manual. The contents of this manual are not enforceable by any person or entity against the Department of Labor or the United States. Statements which reflect current Occupational Safety and Health Review Commission or court precedents do not necessarily indicate acquiescence with those precedents.Table of ContentsCHAPTER 1INTRODUCTIONI.PURPOSE. ........................................................................................................... 1-1 II.SCOPE. ................................................................................................................ 1-1 III.REFERENCES .................................................................................................... 1-1 IV.CANCELLATIONS............................................................................................. 1-8 V. ACTION INFORMATION ................................................................................. 1-8A.R ESPONSIBLE O FFICE.......................................................................................................................................... 1-8B.A CTION O FFICES. .................................................................................................................... 1-8C. I NFORMATION O FFICES............................................................................................................ 1-8 VI. STATE IMPACT. ................................................................................................ 1-8 VII.SIGNIFICANT CHANGES. ............................................................................... 1-9 VIII.BACKGROUND. ................................................................................................. 1-9 IX. DEFINITIONS AND TERMINOLOGY. ........................................................ 1-10A.T HE A CT................................................................................................................................................................. 1-10B. C OMPLIANCE S AFETY AND H EALTH O FFICER (CSHO). ...........................................................1-10B.H E/S HE AND H IS/H ERS ..................................................................................................................................... 1-10C.P ROFESSIONAL J UDGMENT............................................................................................................................... 1-10E. W ORKPLACE AND W ORKSITE ......................................................................................................................... 1-10CHAPTER 2PROGRAM PLANNINGI.INTRODUCTION ............................................................................................... 2-1 II.AREA OFFICE RESPONSIBILITIES. .............................................................. 2-1A.P ROVIDING A SSISTANCE TO S MALL E MPLOYERS. ...................................................................................... 2-1B.A REA O FFICE O UTREACH P ROGRAM. ............................................................................................................. 2-1C. R ESPONDING TO R EQUESTS FOR A SSISTANCE. ............................................................................................ 2-2 III. OSHA COOPERATIVE PROGRAMS OVERVIEW. ...................................... 2-2A.V OLUNTARY P ROTECTION P ROGRAM (VPP). ........................................................................... 2-2B.O NSITE C ONSULTATION P ROGRAM. ................................................................................................................ 2-2C.S TRATEGIC P ARTNERSHIPS................................................................................................................................. 2-3D.A LLIANCE P ROGRAM ........................................................................................................................................... 2-3 IV. ENFORCEMENT PROGRAM SCHEDULING. ................................................ 2-4A.G ENERAL ................................................................................................................................................................. 2-4B.I NSPECTION P RIORITY C RITERIA. ..................................................................................................................... 2-4C.E FFECT OF C ONTEST ............................................................................................................................................ 2-5D.E NFORCEMENT E XEMPTIONS AND L IMITATIONS. ....................................................................................... 2-6E.P REEMPTION BY A NOTHER F EDERAL A GENCY ........................................................................................... 2-6F.U NITED S TATES P OSTAL S ERVICE. .................................................................................................................. 2-7G.H OME-B ASED W ORKSITES. ................................................................................................................................ 2-8H.I NSPECTION/I NVESTIGATION T YPES. ............................................................................................................... 2-8 V.UNPROGRAMMED ACTIVITY – HAZARD EVALUATION AND INSPECTION SCHEDULING ............................................................................ 2-9 VI.PROGRAMMED INSPECTIONS. ................................................................... 2-10A.S ITE-S PECIFIC T ARGETING (SST) P ROGRAM. ............................................................................................. 2-10B.S CHEDULING FOR C ONSTRUCTION I NSPECTIONS. ..................................................................................... 2-10C.S CHEDULING FOR M ARITIME I NSPECTIONS. ............................................................................. 2-11D.S PECIAL E MPHASIS P ROGRAMS (SEP S). ................................................................................... 2-12E.N ATIONAL E MPHASIS P ROGRAMS (NEP S) ............................................................................... 2-13F.L OCAL E MPHASIS P ROGRAMS (LEP S) AND R EGIONAL E MPHASIS P ROGRAMS (REP S) ............ 2-13G.O THER S PECIAL P ROGRAMS. ............................................................................................................................ 2-13H.I NSPECTION S CHEDULING AND I NTERFACE WITH C OOPERATIVE P ROGRAM P ARTICIPANTS ....... 2-13CHAPTER 3INSPECTION PROCEDURESI.INSPECTION PREPARATION. .......................................................................... 3-1 II.INSPECTION PLANNING. .................................................................................. 3-1A.R EVIEW OF I NSPECTION H ISTORY .................................................................................................................... 3-1B.R EVIEW OF C OOPERATIVE P ROGRAM P ARTICIPATION .............................................................................. 3-1C.OSHA D ATA I NITIATIVE (ODI) D ATA R EVIEW .......................................................................................... 3-2D.S AFETY AND H EALTH I SSUES R ELATING TO CSHO S.................................................................. 3-2E.A DVANCE N OTICE. ................................................................................................................................................ 3-3F.P RE-I NSPECTION C OMPULSORY P ROCESS ...................................................................................................... 3-5G.P ERSONAL S ECURITY C LEARANCE. ................................................................................................................. 3-5H.E XPERT A SSISTANCE. ........................................................................................................................................... 3-5 III. INSPECTION SCOPE. ......................................................................................... 3-6A.C OMPREHENSIVE ................................................................................................................................................... 3-6B.P ARTIAL. ................................................................................................................................................................... 3-6 IV. CONDUCT OF INSPECTION .............................................................................. 3-6A.T IME OF I NSPECTION............................................................................................................................................. 3-6B.P RESENTING C REDENTIALS. ............................................................................................................................... 3-6C.R EFUSAL TO P ERMIT I NSPECTION AND I NTERFERENCE ............................................................................. 3-7D.E MPLOYEE P ARTICIPATION. ............................................................................................................................... 3-9E.R ELEASE FOR E NTRY ............................................................................................................................................ 3-9F.B ANKRUPT OR O UT OF B USINESS. .................................................................................................................... 3-9G.E MPLOYEE R ESPONSIBILITIES. ................................................................................................. 3-10H.S TRIKE OR L ABOR D ISPUTE ............................................................................................................................. 3-10I. V ARIANCES. .......................................................................................................................................................... 3-11 V. OPENING CONFERENCE. ................................................................................ 3-11A.G ENERAL ................................................................................................................................................................ 3-11B.R EVIEW OF A PPROPRIATION A CT E XEMPTIONS AND L IMITATION. ..................................................... 3-13C.R EVIEW S CREENING FOR P ROCESS S AFETY M ANAGEMENT (PSM) C OVERAGE............................. 3-13D.R EVIEW OF V OLUNTARY C OMPLIANCE P ROGRAMS. ................................................................................ 3-14E.D ISRUPTIVE C ONDUCT. ...................................................................................................................................... 3-15F.C LASSIFIED A REAS ............................................................................................................................................. 3-16VI. REVIEW OF RECORDS. ................................................................................... 3-16A.I NJURY AND I LLNESS R ECORDS...................................................................................................................... 3-16B.R ECORDING C RITERIA. ...................................................................................................................................... 3-18C. R ECORDKEEPING D EFICIENCIES. .................................................................................................................. 3-18 VII. WALKAROUND INSPECTION. ....................................................................... 3-19A.W ALKAROUND R EPRESENTATIVES ............................................................................................................... 3-19B.E VALUATION OF S AFETY AND H EALTH M ANAGEMENT S YSTEM. ....................................................... 3-20C.R ECORD A LL F ACTS P ERTINENT TO A V IOLATION. ................................................................................. 3-20D.T ESTIFYING IN H EARINGS ................................................................................................................................ 3-21E.T RADE S ECRETS. ................................................................................................................................................. 3-21F.C OLLECTING S AMPLES. ..................................................................................................................................... 3-22G.P HOTOGRAPHS AND V IDEOTAPES.................................................................................................................. 3-22H.V IOLATIONS OF O THER L AWS. ....................................................................................................................... 3-23I.I NTERVIEWS OF N ON-M ANAGERIAL E MPLOYEES .................................................................................... 3-23J.M ULTI-E MPLOYER W ORKSITES ..................................................................................................................... 3-27 K.A DMINISTRATIVE S UBPOENA.......................................................................................................................... 3-27 L.E MPLOYER A BATEMENT A SSISTANCE. ........................................................................................................ 3-27 VIII. CLOSING CONFERENCE. .............................................................................. 3-28A.P ARTICIPANTS. ..................................................................................................................................................... 3-28B.D ISCUSSION I TEMS. ............................................................................................................................................ 3-28C.A DVICE TO A TTENDEES .................................................................................................................................... 3-29D.P ENALTIES............................................................................................................................................................. 3-30E.F EASIBLE A DMINISTRATIVE, W ORK P RACTICE AND E NGINEERING C ONTROLS. ............................ 3-30F.R EDUCING E MPLOYEE E XPOSURE. ................................................................................................................ 3-32G.A BATEMENT V ERIFICATION. ........................................................................................................................... 3-32H.E MPLOYEE D ISCRIMINATION .......................................................................................................................... 3-33 IX. SPECIAL INSPECTION PROCEDURES. ...................................................... 3-33A.F OLLOW-UP AND M ONITORING I NSPECTIONS............................................................................................ 3-33B.C ONSTRUCTION I NSPECTIONS ......................................................................................................................... 3-34C. F EDERAL A GENCY I NSPECTIONS. ................................................................................................................. 3-35CHAPTER 4VIOLATIONSI. BASIS OF VIOLATIONS ..................................................................................... 4-1A.S TANDARDS AND R EGULATIONS. .................................................................................................................... 4-1B.E MPLOYEE E XPOSURE. ........................................................................................................................................ 4-3C.R EGULATORY R EQUIREMENTS. ........................................................................................................................ 4-6D.H AZARD C OMMUNICATION. .............................................................................................................................. 4-6E. E MPLOYER/E MPLOYEE R ESPONSIBILITIES ................................................................................................... 4-6 II. SERIOUS VIOLATIONS. .................................................................................... 4-8A.S ECTION 17(K). ......................................................................................................................... 4-8B.E STABLISHING S ERIOUS V IOLATIONS ............................................................................................................ 4-8C. F OUR S TEPS TO BE D OCUMENTED. ................................................................................................................... 4-8 III. GENERAL DUTY REQUIREMENTS ............................................................. 4-14A.E VALUATION OF G ENERAL D UTY R EQUIREMENTS ................................................................................. 4-14B.E LEMENTS OF A G ENERAL D UTY R EQUIREMENT V IOLATION.............................................................. 4-14C. U SE OF THE G ENERAL D UTY C LAUSE ........................................................................................................ 4-23D.L IMITATIONS OF U SE OF THE G ENERAL D UTY C LAUSE. ..............................................................E.C LASSIFICATION OF V IOLATIONS C ITED U NDER THE G ENERAL D UTY C LAUSE. ..................F. P ROCEDURES FOR I MPLEMENTATION OF S ECTION 5(A)(1) E NFORCEMENT ............................ 4-25 4-27 4-27IV.OTHER-THAN-SERIOUS VIOLATIONS ............................................... 4-28 V.WILLFUL VIOLATIONS. ......................................................................... 4-28A.I NTENTIONAL D ISREGARD V IOLATIONS. ..........................................................................................4-28B.P LAIN I NDIFFERENCE V IOLATIONS. ...................................................................................................4-29 VI. CRIMINAL/WILLFUL VIOLATIONS. ................................................... 4-30A.A REA D IRECTOR C OORDINATION ....................................................................................................... 4-31B.C RITERIA FOR I NVESTIGATING P OSSIBLE C RIMINAL/W ILLFUL V IOLATIONS ........................ 4-31C. W ILLFUL V IOLATIONS R ELATED TO A F ATALITY .......................................................................... 4-32 VII. REPEATED VIOLATIONS. ...................................................................... 4-32A.F EDERAL AND S TATE P LAN V IOLATIONS. ........................................................................................4-32B.I DENTICAL S TANDARDS. .......................................................................................................................4-32C.D IFFERENT S TANDARDS. .......................................................................................................................4-33D.O BTAINING I NSPECTION H ISTORY. .....................................................................................................4-33E.T IME L IMITATIONS..................................................................................................................................4-34F.R EPEATED V. F AILURE TO A BATE....................................................................................................... 4-34G. A REA D IRECTOR R ESPONSIBILITIES. .............................................................................. 4-35 VIII. DE MINIMIS CONDITIONS. ................................................................... 4-36A.C RITERIA ................................................................................................................................................... 4-36B.P ROFESSIONAL J UDGMENT. ..................................................................................................................4-37C. A REA D IRECTOR R ESPONSIBILITIES. .............................................................................. 4-37 IX. CITING IN THE ALTERNATIVE ............................................................ 4-37 X. COMBINING AND GROUPING VIOLATIONS. ................................... 4-37A.C OMBINING. ..............................................................................................................................................4-37B.G ROUPING. ................................................................................................................................................4-38C. W HEN N OT TO G ROUP OR C OMBINE. ................................................................................................4-38 XI. HEALTH STANDARD VIOLATIONS ....................................................... 4-39A.C ITATION OF V ENTILATION S TANDARDS ......................................................................................... 4-39B.V IOLATIONS OF THE N OISE S TANDARD. ...........................................................................................4-40 XII. VIOLATIONS OF THE RESPIRATORY PROTECTION STANDARD(§1910.134). ....................................................................................................... XIII. VIOLATIONS OF AIR CONTAMINANT STANDARDS (§1910.1000) ... 4-43 4-43A.R EQUIREMENTS UNDER THE STANDARD: .................................................................................................. 4-43B.C LASSIFICATION OF V IOLATIONS OF A IR C ONTAMINANT S TANDARDS. ......................................... 4-43 XIV. CITING IMPROPER PERSONAL HYGIENE PRACTICES. ................... 4-45A.I NGESTION H AZARDS. .................................................................................................................................... 4-45B.A BSORPTION H AZARDS. ................................................................................................................................ 4-46C.W IPE S AMPLING. ............................................................................................................................................. 4-46D.C ITATION P OLICY ............................................................................................................................................ 4-46 XV. BIOLOGICAL MONITORING. ...................................................................... 4-47CHAPTER 5CASE FILE PREPARATION AND DOCUMENTATIONI.INTRODUCTION ............................................................................................... 5-1 II.INSPECTION CONDUCTED, CITATIONS BEING ISSUED. .................... 5-1A.OSHA-1 ................................................................................................................................... 5-1B.OSHA-1A. ............................................................................................................................... 5-1C. OSHA-1B. ................................................................................................................................ 5-2 III.INSPECTION CONDUCTED BUT NO CITATIONS ISSUED .................... 5-5 IV.NO INSPECTION ............................................................................................... 5-5 V. HEALTH INSPECTIONS. ................................................................................. 5-6A.D OCUMENT P OTENTIAL E XPOSURE. ............................................................................................................... 5-6B.E MPLOYER’S O CCUPATIONAL S AFETY AND H EALTH S YSTEM. ............................................................. 5-6 VI. AFFIRMATIVE DEFENSES............................................................................. 5-8A.B URDEN OF P ROOF. .............................................................................................................................................. 5-8B.E XPLANATIONS. ..................................................................................................................................................... 5-8 VII. INTERVIEW STATEMENTS. ........................................................................ 5-10A.G ENERALLY. ......................................................................................................................................................... 5-10B.CSHO S SHALL OBTAIN WRITTEN STATEMENTS WHEN: .......................................................................... 5-10C.L ANGUAGE AND W ORDING OF S TATEMENT. ............................................................................................. 5-11D.R EFUSAL TO S IGN S TATEMENT ...................................................................................................................... 5-11E.V IDEO AND A UDIOTAPED S TATEMENTS. ..................................................................................................... 5-11F.A DMINISTRATIVE D EPOSITIONS. .............................................................................................5-11 VIII. PAPERWORK AND WRITTEN PROGRAM REQUIREMENTS. .......... 5-12 IX.GUIDELINES FOR CASE FILE DOCUMENTATION FOR USE WITH VIDEOTAPES AND AUDIOTAPES .............................................................. 5-12 X.CASE FILE ACTIVITY DIARY SHEET. ..................................................... 5-12 XI. CITATIONS. ..................................................................................................... 5-12A.S TATUTE OF L IMITATIONS. .............................................................................................................................. 5-13B.I SSUING C ITATIONS. ........................................................................................................................................... 5-13C.A MENDING/W ITHDRAWING C ITATIONS AND N OTIFICATION OF P ENALTIES. .................................. 5-13D.P ROCEDURES FOR A MENDING OR W ITHDRAWING C ITATIONS ............................................................ 5-14 XII. INSPECTION RECORDS. ............................................................................... 5-15A.G ENERALLY. ......................................................................................................................................................... 5-15B.R ELEASE OF I NSPECTION I NFORMATION ..................................................................................................... 5-15C. C LASSIFIED AND T RADE S ECRET I NFORMATION ...................................................................................... 5-16。

Form 337 - Template direction about conduct or movement

DateMr/Ms - name of person directedAddress of person directedDear Mr/Ms - name of person directedOn date at [insert if relevant] approximately <time> at the premises of name of school OR at (use if conduct occurred outside premises of school), I am advised you engaged in inappropriate behaviour OR I observed you engage in inappropriate behaviour. (Delete whichever option does not apply)My decisionOn the basis of the findings of fact outlined below, I am reasonably satisfied it is necessary to give a direction to you: [Delete before printing] - tick only the relevant boxes – double click in box, pick option: Check boxto ensure the safety or wellbeing of other persons lawfully at the premises;to prevent or minimise damage to the premises or to property at the premises;to maintain good order at the premises;for the proper management of the institution.Under Section 337 of the Education (General Provisions) Act 2006(the Act), I give you a direction in the following terms:∙that on entering the school grounds you should proceed directly to the school office, sign in and wait there for the Principal (or the Principal’s nominated representative)∙that you are not to go elsewhere in the school grounds or buildings without being accompanied by a staff member∙that while on school premises you are not to enter classrooms or speak to teachers or students (except your own child), without consent of the Principal (or the Principal’s nominated representative)∙that you are not to assault, threaten, harass, intimidate or annoy any person on school premises∙that you must not raise your voice or use offensive language while on school premises∙that you must not damage or destroy any property on school premises∙that any concerns that you may have regarding interactions with staff, parents or students are given by meeting directly with the Principal (or the Principal’s nominated representative) by appointment only, and∙that should you wish to discuss the educational progress of your child, you are to request an appointment through the Principal (or the Principal’s nominated representative).[Delete before printing] These are standard directions that schools can rely upon. Schools should not add to or alter these conditions without discussing the alteration with the Legal and Administrative Law Branch first, except where the alteration is to remove one or more of the conditions entirely. No direction should be amended or added which would make entry to the school conditional or would directly or indirectly prohibit entry to the school.This direction remains in force for a period of 30 days after the day it is given to you, until date and time direction expires, period to be not greater than 30 ordinary days after date this letter is physically handed to person or, if posted, when it would arrive in the ordinary course of post – a record must be kept about the manner and time when the notice is given.If you breach this direction your breach will be reported to the police and you may be subject to prosecution and a fine of no more than 20 penalty units Information about penalty units is available from https://.au/law/crime-and-police/types-of-crime/sentencing-fines-and-penalties-for-offences/.Material consideredIn making my decision I considered the following material:∙Departmental procedure: Hostile people on school premises, willful disturbance and trespass ∙Sections 337 & 338 Education (General Provisions) Act 2006 (Qld)∙Witness statements∙Notes of conversations∙etcI have attached an edited version of the material (to protect the privacy of individuals) for your consideration.[Delete before printing] If your material consists of your own personal observations of an event and nothing else, then reduce your observations to a filenote and attach the filenote. Otherwise attached an edited version of relevant witness statementsFindings of factI am satisfied on the balance of probabilities that you engaged in the following inappropriate behaviour:∙∙∙∙∙[Delete before printing] Outline in as much detail as possible the conduct complained of, including a verbatim account of insults or foul language used. Do not use euphemisms.[If relevant] Unfortunately, this is not the first occasion that you have engaged in inappropriate behaviour on school premises:∙∙∙∙[Delete before printing] Insert details of previous written directions, informal warnings or other inappropriate behaviour at any school.Review processYou may apply to have this direction reviewed, under Section 338 of the Act, by writing to: Regional Director nameRegional DirectorAddress of Regional DirectorThe application for review must state in detail the grounds on which you want the direction to be reviewed and your residential address. The application must be received by the Regional Director within seven days after this direction is given to you.If the direction is for fewer than seven days, the application must be received by the Regional Director before the direction ends. If the Regional Director does not give you notice of the outcome of your review within five days of the application being made, the direction is taken to be cancelled. Yours sincerelyPrincipal namePrincipalState School name。

withanemphasison

directory – You are ready to go!
MSU NSCL DAQ School—Notre Dame 2006
More to Read
• MSU NSCL DAQ:
– Everything: /daq/index.php
– Software project: /projects/nscldaq
– Tree parameter GUI for powerful manipulation of the definition of parameters, spectra, variables, and gates
– Xamine for easy display and operations of histograms – Tcl/Tk for user-tailorable control GUI and easy extension of
SpectroDaq Data Server
SpecTcl Xamine
Scalers
Scaler Configuration
offline analysis
MSU NSCL DAQ School—Notre Dame 2006
Disk
Hardware Setup
¾ Caen v785, 32-ch ADC ¾ Caen v775, 32-ch TDC ¾ Caen v830, 32-ch Scaler ¾ Trigger to be upgraded
• SpecTcl
– Home: /daq/spectcl/ – Project: /projects/nsclspectcl – Tree Parameters:
/daq/spectcl/treeparam/TreeParameter.html – Tcl/Tk: /

H.264 mpeg-4 part 10 white paper

(reference)
(1 or 2 previously encoded frames)
F'n-1
P
(reconstructed)
F'n
uF'n
Filter
+
D'n
X
T-1 Q-1 Reorder Entropy decode
+
NAL
Figure 2-2 AVC Decoder
2.1
ቤተ መጻሕፍቲ ባይዱ
Encoder (forward path)
H.264 / MPEG-4 Part 10 White Paper Overview of H.264 1. Introduction
H.264 / MPEG-4 Part 10 : Overview
Broadcast television and home entertainment have been revolutionised by the advent of digital TV and DVD-video. These applications and many more were made possible by the standardisation of video compression technology. The next standard in the MPEG series, MPEG4, is enabling a new generation of internet-based video applications whilst the ITU-T H.263 standard for video compression is now widely used in videoconferencing systems. MPEG4 (Visual) and H.263 are standards that are based on video compression (“video coding”) technology from circa. 1995. The groups responsible for these standards, the Motion Picture Experts Group and the Video Coding Experts Group (MPEG and VCEG) are in the final stages of developing a new standard that promises to significantly outperform MPEG4 and H.263, providing better compression of video images together with a range of features supporting high-quality, low-bitrate streaming video. The history of the new standard, “Advanced Video Coding” (AVC), goes back at least 7 years. After finalising the original H.263 standard for videotelephony in 1995, the ITU-T Video Coding Experts Group (VCEG) started work on two further development areas: a “short-term” effort to add extra features to H.263 (resulting in Version 2 of the standard) and a “long-term” effort to develop a new standard for low bitrate visual communications. The long-term effort led to the draft “H.26L” standard, offering significantly better video compression efficiency than previous ITU-T standards. In 2001, the ISO Motion Picture Experts Group (MPEG) recognised the potential benefits of H.26L and the Joint Video Team (JVT) was formed, including experts from MPEG and VCEG. JVT’s main task is to develop the draft H.26L “model” into a full International Standard. In fact, the outcome will be two identical) standards: ISO MPEG4 Part 10 of MPEG4 and ITU-T H.264. The “official” title of the new standard is Advanced Video Coding (AVC); however, it is widely known by its old working title, H.26L and by its ITU document number, H.264 [1]. 2. H.264 CODEC In common with earlier standards (such as MPEG1, MPEG2 and MPEG4), the H.264 draft standard does not explicitly define a CODEC (enCOder / DECoder pair). Rather, the standard defines the syntax of an encoded video bitstream together with the method of decoding this bitstream. In practice, however, a compliant encoder and decoder are likely to include the functional elements shown in Figure 2-1 and Figure 2-2. Whilst the functions shown in these Figures are likely to be necessary for compliance, there is scope for considerable variation in the structure of the CODEC. The basic functional elements (prediction, transform, quantization, entropy encoding) are little different from previous standards (MPEG1, MPEG2, MPEG4, H.261, H.263); the important changes in H.264 occur in the details of each functional element. The Encoder (Figure 2-1) includes two dataflow paths, a “forward” path (left to right, shown in blue) and a “reconstruction” path (right to left, shown in magenta). The dataflow path in the Decoder (Figure 2-2) is shown from right to left to illustrate the similarities between Encoder and Decoder.

ISO1050中文资料_数据手册_参数

器件型号 ISO1050
器件信息(1)
封装
封装尺寸（标称值）
SOP (8)
9.50mm × 6.57mm
SOIC (16)
10.30mm x 7.50mm
(1) 要了解所有可用封装，请见数据表末尾的可订购产品附录。
简化电路原理图
CANH RXD
CANL
TXD
1பைடு நூலகம்
PRODUCTION DATA information is current as of publication date. Products conform to specifications per the terms of the Texas Instruments standard warranty. Production processing does not necessarily include testing of all parameters.
English Data Sheet: SLLS983
ISO1050
ZHCS321I – JUNE 2009 – REVISED JANUARY 2015

目录
1 特性.......................................................................... 1 2 应用.......................................................................... 1 3 说明.......................................................................... 1 4 修订历史记录 ........................................................... 2 5 Pin Configuration and Functions ......................... 5 6 Specifications......................................................... 6

英语课程介绍PPT课件

02 Course content
Listening training
The importance of listening training
Listening is one of the four major skills in English learning. Through listening training, students can improve their sensitivity to English pronunciation, intonation, and speed, and enhance their language perception ability.
Definition
Simulate real-life scenarios, allowing students to communicate in English in a simulated environment.
Application
Use PowerPoint to display simulated scene images, videos, and other materials, allowing students to play different roles for dialogue practice.
ability.
03 Teaching method
Interactive teaching
01
Definition
To guide students to actively participate in the classroom and
improve learning outcomes through teacher-student interaction

SAM P L E R S项目样本盒说明书

S A M P L E R SItem Portfolio SamplerSingle Copy Sampler (Box)Description Use for a customer’s first introduction to the program.Includes:Program Guide,System 44Research Foundation Paper,SPI Assessment Paper,Product T our CD,and Print Component Sampler.Use at conferences,events and with customers who have already been introduced to the program and are serious about purchasing.Includes the Program Guide,System 44Research Foundation Paper,SPI Assessment Paper,Product T our CD,Component Map,Poster,44Book ,Decodable Digest ,T eaching Resources Guides,Screening ,Assessment and Reporting Guide and an assortment of Student Library Books.Item #159280159279Availability at JC 9/1/089/1/08Availability on the Portal N/A N/AUnitCost$12.50*$34.00*P R O M OT I O N A L M AT E R I A L SItemProgram GuideProduct T our CD Simulator CDComponent MapTeaching Guide Sampler (Book)“Tiny TE”DescriptionComprehensive overview of the program.Great introduction for customers—perfect leave behind.T otal pages:36.Content currently featured on the System 44Web site.This CD allows customers to get an overview of the program,and hear from Marilyn Adams and T ed Hasselbring.(This is a Flash®file—NO Internetconnection needed.)T abs have been added for easier navigation.Use this CD to better familiarize yourself with the software.You will be able to access all of the zones—it is representative of a student experience.May also be used with customers for demonstration purposes,but do not hand out the CD.We created a limited quantity for internal use only.This is NOT in JC.Visual overview of the program including teacher and student materials,and software applications.Each edition is highlighted.Includes several lessons from the Teaching Guide.Provides customers with an overview of the entire book and highlights several lessons.We are not providing copies of the complete TG in any e this item for any customers who want to know what's covered in the TG.T otal pages:60.Item #153045159589N/A 0-545-11901-4159292Availability at JCNow!Now!N/A Now!Now!Availability on the PortalNow!N/AN/ANow!N/APromotional Materials and SamplersItem#1602443007/08SCHOLASTIC,SYSTEM 44,SCHOLASTIC PHONICS INVENTORY,and associated logos and designs are trademarks and/or registered trademarks of Scholastic Inc.Other company names,brand names,and product names are the property and/or trademarks of their respective owners*Unit cost based on initial quote.Final cost may differ slightly.R E S E A R C HItemSystem 44Research Foundation PaperSPI Assessment PaperSPI T echnical ManualSystem 44Formative Research PaperDescriptionThorough explanation of the research foundations behind System 44.Underscores the importance of anassessment like SPI and its effectiveness.Details how SPI was validated including the study that correlates SPI to the TOWRE and Woodcock-JohnsonDetails the results of studies conducted during the development of System 44.Item #1595861593280-545-11679-1TKAvailability at JCNow!Now!8/1/089/15/08Availability on the PortalNow!Now!Now!9/1/08P R O M OT I O N A L M AT E R I A L SDescription Includes selections from the Teaching Guide ,Decodable Digest ,44Book ,Student Libraries and T eaching Resources Guide.Also features selections from theScreening ,Assessment and Reporting Guide ,highlighting the System 44and SPI reports.T otal pages:76Features wonderful visual of the sounds and spellings that are taught in the program.Great for hanging during an event or presentation.Item PrintComponent Sampler (Book)The System of Sounds &Spelling PosterItem #159293155626Availability at JCNow!Now!Availability on the PortalN/AN/AO N LY O N T H E S A L E S P O R TA L !Availability on the PortalNow!Now!Now!Now!Now!Now!Now!Now!Now!And distributedon CDN/ADescriptionFor READ 180and non READ 180customers.Compiled list of questions since the launchof System 44.Updated weekly and posted on the portal.PowerPoint®slides outlining the strengths and weaknesses of technology and print competitors.The list of books in the Upper Elementary and Secondary Student Libraries with their corresponding Lexile®levels and genre.For READ 180and non READ 180customers.For READ 180and non READ 180customers.A detailed program scope and sequence.Up-to-date technical specifications.NEW!Includes PowerPoint®presentation with video and script that was presented at the summer sales meeting.An animation of the 44reasons poster that runs on a loop for conferences and other events.ItemOrder FormsFAQsCompetitive OverviewBook ListSales ProposalsCost ProposalsScope &SequenceT echnical SpecificationsSales PresentationConference Exhibit Loop。

AllFusion Model Manager Release Summary r7 用户说明说明

AllFusion® Model ManagerRelease Summaryr7This documentation and related computer software program (hereinafter referred to as the “Documentation”) is for the end user’s informational purposes only and is subject to change or withdrawal by Computer Associates International, Inc. (“CA”) at any time.This documentation may not be copied, transferred, reproduced, disclosed or duplicated, in whole or in part, without the prior written consent of CA. This documentation is proprietary information of CA and protected by the copyright laws of the United States and international treaties.Notwithstanding the foregoing, licensed users may print a reasonable number of copies of this documentation for their own internal use, provided that all CA copyright notices and legends are affixed to each reproduced copy. Only authorized employees, consultants, or agents of the user who are bound by the confidentiality provisions of the license for the software are permitted to have access to such copies.This right to print copies is limited to the period during which the license for the product remains in full force and effect. Should the license terminate for any reason, it shall be the user’s responsibility to return to CA the reproduced copies or to certify to CA that same have been destroyed.To the extent permitted by applicable law, CA provides this documentation “as is” without warranty of any kind, including without limitation, any implied warranties of merchantability, fitness for a particular purpose or noninfringement. In no event will CA be liable to the end user or any third party for any loss or damage, direct or indirect, from the use of this documentation, including without limitation, lost profits, business interruption, goodwill, or lost data, even if CA is expressly advised of such loss or damage.The use of any product referenced in this documentation and this documentation is governed by the end user’s applicable license agreement.The manufacturer of this documentation is Computer Associates International, Inc.Provided with “Restricted Rights” as set forth in 48 C.F.R. Section 12.212, 48 C.F.R. Sections 52.227-19(c)(1) and (2) or DFARS Section 252.227-7013(c)(1)(ii) or applicable successor provisions.Copyright © 2006 CA. All rights reserved.All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.ContentsChapter 1: Changes to Existing FeaturesDatabase and Model Conversion Management..................................................1-1 Services Menu Replaces ModelMart Menu......................................................1-2 Change Management Functionality Changed....................................................1-2 Review Changes uses the Complete Compare Functionality......................................1-2 Refresh uses the Complete Compare Functionality...............................................1-2 Version Manager uses the Complete Compare Functionality......................................1-3 Renamed Subject Areas to Submodels..........................................................1-3 Complete Compare Functionality Replaces the (ModelMart) Merge Manager.......................1-3 Version Dependency Removed.................................................................1-4 ModelMart Synchronizer Removed.............................................................1-4 Change in Database Support Policy.............................................................1-4 Additional Database Version Support.......................................................1-4 Databases No Longer Supported...........................................................1-4 Dropped Support for Database Versions....................................................1-41 Changes to Existing FeaturesThis chapter documents changes made to existing features and includes a list offeatures removed from the product for r7. A number of changes have been madeto the user interface to improve functionality and consistency. The changes areoutlined as follows:Database and Model Conversion ManagementServices menu replaces the ModelMart menuChange Management Functionality ChangedReview Changes uses the Complete Compare functionalityRefresh uses the Complete Compare functionalityVersion Manager uses the Complete Compare functionalityRenamed Subject Areas to SubmodelsComplete Compare functionality replaces the (ModelMart) Merge ManagerVersion Dependency RemovedModelMart Synchronizer RemovedChange in Database Support PolicyDatabase and Model Conversion ManagementIf you previously worked with AllFusion Model Manager (ModelMart), probablythe most important task is preserving the database structure and the contents ofyour ModelMart 4.1.4 database. AllFusion MM r7 includes a built-in conversionutility that the administrator uses to perform the conversion. The conversionutility does all the work of transforming the old into the new database and itconverts the AllFusion ERwin DM and AllFusion Process Modeler models to thenewest version as well. More information about using the conversion utility isincluded in the AllFusion Model Manager r7 Administrator Guide.Services Menu Replaces ModelMart MenuServices Menu Replaces ModelMart MenuThe client-server functionality available in the AllFusion Modeling Suite nowuses the broader term "Services." Features that formerly appeared under the"ModelMart'" menu item now appear under a "Services" menu.Change Management Functionality ChangedThe addition of the Action Log feature, and implementation of CompleteCompare have replaced the Change Control Manager user interface forAllFusion ERwin DM clients.Note: The Change Control Manager is still available for AllFusion ProcessModeler clients.If you make changes to a model checked out of AllFusion MM, and then try tosave the model to the mart, you are reminded to first use the Action Log toreview your changes. If no changes conflict with the version in the mart, yourmodel is saved. In earlier versions you were prompted to review changes usingthe Change Control Manager.If conflicts between your local model and the one in the mart are detected duringthe save process, the Complete Compare - Difference Reconciliation dialog isdisplayed to help you resolve the differences before committing the changes tothe mart.Review Changes uses the Complete Compare Functionality When you choose the Review Changes from the Services menu and changes aredetected, the Right Model Pane of Complete Compare is displayed. In earlierversions you were prompted to review changes using the Change ControlManager.Refresh uses the Complete Compare FunctionalityWhen you choose Refresh from the Services menu and changes are detected, theComplete Compare interface is used to display and reconcile the changes. Inearlier versions you were prompted to review changes using the Change ControlManager.Version Manager uses the Complete Compare FunctionalityVersion Manager uses the Complete Compare Functionality When you choose Diff to compare two model versions in the AllFusion VersionManager, the Right Model Pane of the Complete Compare interface is used todisplay and reconcile the differences. In earlier versions you were prompted toreview changes using the Change Control Manager.Renamed Subject Areas to SubmodelsAllFusion MM is now using the term Submodel instead of the ERwin termSubject Area. The corresponding item on the Services menu has been changed,and the dialog has been renamed to highlight the distinction between subjectareas and submodels. This is meant to highlight the distinction that opening aSubmodel from the AllFusion MM Open dialog just gives you access to thatsubmodel, and restricts access to other subject areas of that model in the ERwinediting session. There is no real inherent difference between subject areas andsubmodels, so whether you used the ERwin dialog to edit subject areas, or theAllFusion MM dialog on the Services menu to edit Stored Displays, the results ofeach do show up in the other.As we move into future releases, we expect submodels to become betterdifferentiated from Subject Areas by having more capabilities that are unique tothem.Complete Compare Functionality Replaces the (ModelMart) Merge ManagerIn previous versions, the Merge Manager presented a series of dialogs that letyou merge the current model with another model from the mart, or with a localmodel. New functionality in the Complete Compare wizard expands on thisfunctionality. The Complete Compare Wizard does the following:Load models from a variety of sources.Merge into an empty model.Merge into an existing model and use the Save As feature to create a newmodel.Lets you skip pages of the wizard, for instance, if you want to set up filters,you can.Lets you compare any combination of logical/physical, logical-only, andphysical-only models.Version Dependency RemovedVersion Dependency RemovedIn earlier releases of the AllFusion Modeling Suite, the release version ofAllFusion ERwin Data Modeler and AllFusion Model Manager had to beidentical. With r7, this dependency has been removed. Although we recommendthat you install the latest service pack for all products, the requirement of havingall products installed to the same service pack level no longer exists.ModelMart Synchronizer RemovedThe ModelMart Synchronizer feature has been removed from AllFusion MM.Previously it synchronized AllFusion ERwin DM and AllFusion PM modelswhile these models were stored in AllFusion MM. There is no longer adependency on AllFusion Model Manager in order to accomplishsynchronization. Synchronization is now done within AllFusion ERwin DM andAllFusion PM. For more information, see the AllFusion ERwin DM ReleaseSummary or the AllFusion PM Release Summary.Change in Database Support PolicyThe following are the changes in the database support policy for AllFusionModel Manager r7:Additional database version supportDatabases no longer supportedAdditional Database Version SupportAllFusion Model Manager has added support for additional databases. TheAllFusion MM Connection Manager dialog now supports the followingadditional database:Microsoft SQL Server 2005Databases No Longer SupportedThe AllFusion Model Manager has dropped support for some databases. TheAllFusion MM Connection Manager dialog no longer displays the followingdatabase:Informix。

LTE_3GPP_36.213-860(中文版)

Symbols ....................................................................................................................................................... 7 Abbreviations............................................................................................................................................... 7
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Copyright Notification No part may be reproduced except as authorized by written permission. The copyright and the foregoing restriction extend to reproduction in all media.
Cell search ................................................................................................................................................... 8 Timing synchronisation ................................................................................................................................ 8 Radio link monitoring ............................................................................................................................. 8 Inter-cell synchronisation ........................................................................................................................ 8 Transmission timing adjustments ............................................................................................................ 8

Wireless Presentation System 中文说明书版本1.0

Wireless Presentation System中文使用手册(Model Name: WP-920)版本: 1.0日期: Oct.21, 2010目录1.产品介绍.....................................................................错误！未定义书签。

2.简易执行步骤 (7)3.窗口软件 (11)3.1启动软件 (11)3.2登入主机 (12)3.3主使用画面 (12)3.4画面投影 (13)3.5声音投影 (14)3.6影音传输功能 (14)3.7选单描述 (15)3.7.1显示登入码 (15)3.7.2管理者首页 (16)3.7.3搜寻服务器 (17)3.7.4投影品质 (17)3.7.5投影来源 (18)3.7.6声音拨放 (18)3.7.7自动WiFi 联机 (19)3.7.8自动电源管理 (19)3.7.9隐藏控制面板 (20)3.7.10进阶屏幕撷取 (20)3.7.11重复播放 (21)3.7.12制作wePresent Token (22)3.7.13拷贝程序至桌面 (23)3.7.14关于 (23)3.7.15结束 (24)4.Mobile 操作模式 (25)4.1软件下载 (25)4.2用智能型手机使用MobiShow (25)5.Mac 操作说明 (31)5.1执行程序 (31)5.2主使用画面 (32)5.3画面投影 (32)5.4影音传输功能 (33)6.网页管理画面 (35)6.1进入首页 (35)6.2下载软件 (35)6.3会议控制 (36)6.4登入管理画面 (38)6.4.1系统状态 (38)6.4.2网络设定 (39)6.4.3待机画面设定 (41)6.4.4投影设定 (41)6.4.5密码变更 (42)6.4.6设定重置 (43)6.4.7韧体更新 (44)6.4.8重新启动 (45)6.4.9注销 (45)7.附录 (46)开机画面转文件程序Screen Image Background Maker (46)使用行动简报转文件程序 PtG Converter...................错误！未定义书签。

SPOC+2 User Manual

SPOC™+2 User ManualMultichannel SPI High-Side Power ControllerAbout this documentScope and purposeThis User Manual is intended to enable users to integrate the SPOC TM+2 Software for the SPOC TM+2-Demoboard.Intended audienceThis document is intended for anyone using the SPOC TM+2 Software.Document conventionsConventions for reading the configuration class fieldThe following examples help the integrator to identify the configuration class of the parameter for a given delivery type.Abbreviations and definitionsTable of contentsAbout this document (1)Table of contents (3)Table of figures (4)1General information (5)1.1Required hardware (5)1.2Software Installation (7)1.2.1SPOC TM+2 Application (7)1.2.2µIO-Stick Driver Install (8)1.3Setup Hardware (8)1.3.1Setup details (10)2Using the software (12)2.1Starting the program (12)2.2User Interface (13)2.2.1STD-View (13)2.2.2SPI-View (14)2.3Examples: Command sequences, SPI-View (15)2.3.1Example 1: Switching on 4 lights step by step with 1 Second delay (15)2.3.2Example 2: Let one light blink 10 times (19)Revision history (23)Table of figuresFigure 1 – SPOC TM+2 MB (5)Figure 2 – SPOC TM+2 DB (5)Figure 3 - µIO-Stick (6)Figure 4 - Connection cable (6)Figure 5 - Software installation USB-Stick (7)Figure 6 – SPOC TM+2 - setup.exe (7)Figure 7 - SPOC TM+2 Application - Select Directory (7)Figure 8 – SPOC TM+2 - Application - Start Installation (8)Figure 9 – SPOC TM+2 - Application – Finish (8)Figure 10 - µIO-Updater (for vCOM) (8)Figure 11 – SPOC TM+2 DB plugged onto SPOC TM+2 MB (9)Figure 12 - Connecting µIO-Stick to SPOC TM+2 MB (9)Figure 13 - Finished setup (10)Figure 14 - Device components (11)Figure 15 - SPOC+2 - Application - Finding it (12)Figure 16 – SPOC TM+2 - Application - searching for it (12)Figure 17 - User Interface - STD-View (13)Figure 18 - User Interface - SPI-View (14)Figure 19 - Possible setup (15)Figure 20 - Select register OUT (15)Figure 21 - Write to register OUT (16)Figure 22 - Add command to command list (16)Figure 23 - Write OUT0 (16)Figure 24 - Add to command list (17)Figure 25 - change delay of cammands (17)Figure 26 - repeat until all OUTS (OUT0-OUT3) are selected (17)Figure 27 - switch to STD view (18)Figure 28 - Select channel at IS MUX (18)Figure 29 - Start command sequence (18)Figure 30 - response of SPOC TM+2 to command sequence (19)Figure 31 - Select Register OUT (19)Figure 32 - Select OUT0 and add command (20)Figure 33 - Select no output and add command (20)Figure 34 - change delay of commands (21)Figure 35 - change number of command sequences iterations (21)Figure 36 - Switch to STD view (21)Figure 37 - Select a channel at IS MUX (22)Figure 38 - Switch to SPI and start command sequence (22)Figure 39 - Response od SPOC TM+2 in response list (22)1General information 1.1Required hardwareFirst of all some special hardware is needed: ∙SPOC TM+2 MBo SPOC TM+2 Motherboardo See Figure 1Figure 1 – SPOC TM+2 MB∙SPOC TM+2 DBo Product specific (BTSxxxxx-xxxx)o See Figure 2Figure 2 – SPOC TM+2 DB∙µIO-Sticko Communication between your computer and the Demoboardo Isar Number: SP001215532o See Figure 3Figure 3 - µIO-Stick∙Connection cableo Ribbon cable16 pin female connectoro See figure 4Figure 4 - Connection cableUSB-Sticko For software installationo See Figure 5Figure 5 - Software installation USB-Stick1.2Software Installation1.2.1SPOC TM+2 ApplicationHow to install software for the SPOC TM+2 Evaluation Board:o Plug in the Software-USB-Stick into a USB port of your computero Run setup.exe in the following location:▪USB-Drive:\SPOC+2_Installer\Volume\setup.exe (see Figure 6)Figure 6 – SPOC TM+2 - setup.exe▪Note: You must log in as administrator!o Follow the steps of the Installation Wizard (see Figures below):▪Select installation directory, then click “next”Figure 7 - SPOC TM+2 Application - Select Directory▪Again click “next”Figure 8 – SPOC TM+2 - Application - Start InstallationThe installation will start, after that click …finish“Figure 9 – SPOC TM+2 - Application – Finish1.2.2µIO-Stick Driver InstallAfter installing the SPOC TM+2-Application keep the Software-USB plugged in and plug in the µIO-Stick.In order to use the virtual COM-port (neccesairy for the application) go to https://www.ehitex.de/usb-application-sticks/infineon/2529/uio-stick, scroll to Available Downloads and select Download uIO Updater (zip file) see Figure 10. Extract the zip file and run UpdatePEK afterwards.Figure 10 - µIO-Updater (for vCOM)1.3Setup HardwarePlug the SPOC TM+2 DB onto the SPOC TM+2 MB (see Figure 11)Figure 11 – SPOC TM+2 DB plugged onto SPOC TM+2 MB∙Connect the µIO-Stick to the SPOC TM+2 MB via the connector cable (see Figure 12) o Be careful: Position of Pin 1 is marked with a dot on the SPOC TM+2 MB!Figure 12 - Connecting µIO-Stick to SPOC TM+2 MB∙Connect the µIO-Stick to your computer and run the SPOC TM+2-Application. (see Figure 13)Figure 13 - Finished setup 1.3.1Setup detailsopened.2 If Jumpers J_IN2 and J_IN3 are set to 1-2: SPOC TM Outputs EDD and EDO can control the PROFET. Figure 14 - Device components2Using the software2.1Starting the programInstalled Application can be found in the windows start menu in the section “all programs” →“SPOC+2”→ SPOC+2 (see Figure 15):Figure 15 - SPOC+2 - Application - Finding itor by using the search bar(see Figure 16):Figure 16 – SPOC TM+2 - Application - searching for ito Run the program by clicking on the file (see Figures 15 and 16)2.2User Interface 2.2.1STD-ViewFigure 17 - User Interface - STD-View2.2.2SPI-ViewFigure 18 - User Interface - SPI-View*…menu description not necessairy at the moment Tobias2.3Examples: Command sequences, SPI-ViewFigure 19 below illustrates a possible test setup. The examples in 2.3.1 and 2.3.2 refer to this setup.Figure 19 - Possible setup2.3.1Example 1: Switching on 4 lights step by step with 1 Second delaySwitch to SPI view and select register OUT (See Figure 20)Figure 20 - Select register OUT∙Tick the WRITE?-Box and select no Output (See Figure 21)Figure 21 - Write to register OUT∙Click ADD CMD and your command is added to the command list (See Figure 22)Figure 22 - Add command to command list∙Select OUT0 in the WRITE-Box (See Figure 23)Figure 23 - Write OUT0∙Click ADD CMD (See Figure 24)Figure 24 - Add to command list∙Change the delay of each command to 1000 (delay of 1 second, See Figure 25)Figure 25 - change delay of cammands∙Repeat the last three steps until you reach OUT3 (See Figure 26) Figure 26 - repeat until all OUTS (OUT0-OUT3) are selected∙Switch to STD view (See Figure 27) and select a channel (0 – 3) at IS MUX (See Figure 28) Figure 27 - switch to STD viewFigure 28 - Select channel at IS MUX∙Switch back to SPI view and click the START-button (See Figure 29)Figure 29 - Start command sequence∙The response of the SPOC TM+2 is shown in the response list (See Figure 30)Figure 30 - response of SPOC TM+2 to command sequence2.3.2Example 2: Let one light blink 10 timesDescription t [ms]T_ON Duration light on 500T_OFF Duration light off 500∙Switch to SPI view and select register OUT (See Figure 31)Figure 31 - Select Register OUT∙Tick the WRITE?-Box and select OUT0 and click ADD CMD (See Figure 32)Figure 32 - Select OUT0 and add command∙Select no output in the WRITE-Box and click ADD CMD (See Figure 33)Figure 33 - Select no output and add command∙Also typing in commands directly is possible (See SPOC TM+2 datasheet for command reference) o E.g.:▪The command 80h means Write no output to OUT▪The command 81h would mean Write to OUT and set OUT0 high.▪See Figure 32 above∙Change the delay of command 81 to T_ON, the delay of command 80 to T_OFF (See Figure 34)Figure 34 - change delay of commands∙Change loop all commands x times to 10 (See Figure 35)Figure 35 - change number of command sequences iterations∙Switch to STD view (See Figure 36) and select a channel (0 – 3) at IS MUX (See Figure 37) Figure 36 - Switch to STD viewFigure 37 - Select a channel at IS MUX∙Switch back to SPI view and click the START-button (See Figure 38)Figure 38 - Switch to SPI and start command sequence∙The response of the SPOC TM+2 is shown in the response list (See Figure 39) Figure 39 - Response od SPOC TM+2 in response listRevision historyMajor changes since the last revisionTemplate revision historyNote:The below table is for reference purpose only. Delete this table before circulation. Changes since the last revisionTrademarksAll referenced product or service names and trademarks are the property of their respective owners.Edition <yyyy-mm>Doc_NumberPublished by Infineon Technologies AG 81726 Munich, Germany © 2018 Infineon Technologies AG. All Rights Reserved. Do you have a question about this document? Email: ******************** Document reference IMPORTANT NOTICEThe information given in this document shall in no event be regarded as a guarantee of conditions or characteristics (“Beschaffenheitsgarantie”) .With respect to any examples, hints or any typical values stated herein and/or any information regarding the application of the product, Infineon Technologies hereby disclaims any and all warranties and liabilities of any kind, including without limitation warranties of non-infringement of intellectual property rights of any third party.In addition, any information given in this document is subject to customer’s compliance with its obligations stated in this document and any applicable legal requirements, norms and standards concerning customer’s products and any use of the product of Infine on Technologies in customer’s applications.The data contained in this document is exclusively intended for technically trained staff. It is the responsibility of customer’s technical departments to evaluate the suitability of the product for the intended application and the completeness of theFor further information on the product, technology, delivery terms and conditions and prices please contact your nearest Infineon Technologies office ( ).WARNINGSDue to technical requirements products may contain dangerous substances. For information on the types in question please contact your nearest Infineon Technologies office.Except as otherwise explicitly approved by Infineon Technologies in a written document signed by authorized representatives of Infineon Technologies, Infineon Technologies’ products may not be used in any applications where a failure of the product or any consequences of the use thereof can reasonably be expected to result in personal injury.Mouser ElectronicsAuthorized DistributorClick to View Pricing, Inventory, Delivery & Lifecycle Information:I nfineon:SPOC2DBBTS710404ESETOBO1SPOC2DBBTS712204ESATOBO1SPOC2DBBTS712204ESETOBO1 SPOC2DBBTS722204ESATOBO1SPOC2MOTHERBOARDTOBO1SPOC2DBBTS710404ESATOBO1。

5428 ASR Form 2004-0

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