"... In PAGE 28: ... Students with sufficient background may be able to waive the prerequisite courses and should therefore contact the Department of Electrical and Computer Engineering. Table6 -1 contains information about the courses that students can take to develop skills in understanding real-time computing issues and in developing software for real-time systems. The table also shows prerequisite courses.... In PAGE 29: ... Those students who already have fundamental programming and electrical engineering skills (includ- ing signals and systems) are best prepared to pursue a controls option under the real-time track. The courses shown in Table6 -2 are members of one of the following four categories: (1) courses which are prerequisites for other courses, (2) courses whose content covers the educational objectives specified earlier, (3) courses whose content covers some of the previ- ously listed educational objectives and are prerequisites for other courses, and (4) courses which cover advanced DSP or control theory. To select a sequence of courses, the student should consider course prerequisites as well as the term(s) in which a course is offered.... In PAGE 30: ... The student could then complete a summer independent study involving an industrial control application and follow this with the Real-Time Applications Laboratory course and Linear Systems or Digital Signal Processing I. Table6 -2: Industrial Controls Option: List of Courses Course Name Educational Objectives Course Number Prerequisite Course(s) Term Offered Units Calculus Prerequisite 21-121 None Listed Fall* Spring* 10 Calculus in Three Dimensions Prerequisite 21-259 21-121 Fall* Spring* 9 Numerical Methods EE3, EE4 21-369 21-259 Fall* Spring* 9 Introduction to Numerical Analysis I EE3, EE4 Advanced Topics 21-660 None Listed Contact Instructor Fall* 12 Intro. to Electrical amp; Comp.... ..."

"... In PAGE 12: ... The student could then complete a summer independent study involving an industrial control application and follow this with the Real-Time Applications Laboratory course and Linear Systems or Digital Signal Processing I. Table6 -2: Industrial Controls Option: List of Courses Course Name Educational Objectives Course Number Prerequisite Course(s) Term Offered Units Calculus Prerequisite 21-121 None Listed Fall* Spring* 10 Calculus in Three Dimensions Prerequisite 21-259 21-121 Fall* Spring* 9 Numerical Methods EE3, EE4 21-369 21-259 Fall* Spring* 9 Introduction to Numerical Analysis I EE3, EE4 Advanced Topics 21-660 None Listed Contact Instructor Fall* 12 Intro. to Electrical amp; Comp.... In PAGE 13: ... Those students who already have fundamental programming and electrical engineering skills (includ- ing signals and systems) are best prepared to pursue a controls option under the real-time track. The courses shown in Table6 -2 are members of one of the following four categories: (1) courses which are prerequisites for other courses, (2) courses whose content covers the educational objectives specified earlier, (3) courses whose content covers some of the previ- ously listed educational objectives and are prerequisites for other courses, and (4) courses which cover advanced DSP or control theory. To select a sequence of courses, the student should consider course prerequisites as well as the term(s) in which a course is offered.... In PAGE 14: ... Students with sufficient background may be able to waive the prerequisite courses and should therefore contact the Department of Electrical and Computer Engineering. Table6 -1 contains information about the courses that students can take to develop skills in understanding real-time computing issues and in developing software for real-time systems. The table also shows prerequisite courses.... ..."

"... In PAGE 5: ... The signals monitored by each data collection system are listed in Table 1. A brief descrip- tion of each signals is listed in Table2 . Because these measurements are related electrically or mechanically, some signals are highly correlated.... ..."

"... In PAGE 9: ...Table 5: High-speed network: Performance measures versus In Table5 , for the high-speed network, we compare the performance measures obtained by the uid rst order ap- proximation with the performance measures obtained by simulation of the discrete-space model with c = 0. We verify that the analytical results obtained with the rst order approximation are accurate when d, i.... In PAGE 9: ...rst order approximation are accurate when d, i.e., 0:04 s. In particular, the values in Table5 are consis- tent with the fact that Qmax is inversely proportional to and X ? decreases as increases. 4 Conclusion It appears that uid modeling holds great promise in ana- lyzing network congestion and ow control problems.... ..."

"... In PAGE 3: ... Thus, the configuration table gives the rules of interaction between partners. Table1 shows a configuration table for informa- tion flows extracted from the UML diagram of VMI. This table can capture the information sharing involved in the VMI process, and is called Configuration 1 (C1).... In PAGE 3: ... Customer Vendor Gather Actual Usage Forecast orders SCEM Deliver Order Actual Usage (1) Replenishment Order [Proposed] Confirm Order (2) Replenishment Order [Final] Yes Receive Goods Goods Receipts Replenishment Order [Revised] Ship Notes Exceptions? Good quality_Val Goods Return Refund Payment (4) (3) No (5) Yes No (6) (7) Notations: Supply chain activities Shared data objects Object flow Control flow Decision Figure 1: Modeling VMI with UML Activity Diagram In a configuration table, every information flow is initiated by an event, and takes place upon checking an (optional) associated condition; if the condition is true, then the flow takes place. For example, in Table1 , the first row corresponds to the sendUsage information flow. This flow occurs at 5 PM every Monday (a temporal event).... In PAGE 4: ... Still, many other adjustments may be made to the pa- rameter values. In Table1 , the reorder point (row 2), the flow, or deleting an existing flow. For example, suppose the Order Delivery activity is outsourced to a third-party shipper.... In PAGE 4: ... First, changes may be made to the frequencies of flows. For example, say the event/time of the first row of Table1 is changed from Friday, 5 PM to Daily, 5 PM . This change leads to a new configuration, called Configuration 2 (C2) described in Table 2.... In PAGE 5: ... Table 3: Simulation Settings Simulation setting Values Daily usage Gamma(400, 1.25) Reorder point 3500 Replenishment order size 6000 Lead time of replenishment 5 days The lead time for a replenishment order is 5 days (see Table1 for the specific lead time of each information flow).... In PAGE 5: ...ost per item from the VMI vendor is $0.20. Setup cost for every replenishment order is $100 incurred by order handling and setting up a production run. When a replen- ishment order is proposed, if the accumulated fill rate is below 90%, a penalty of $1000 is applied because the per- formance fails to reach the required level (see modify- Order row in Table1 ). This penalty reflects the sales loss as a result of customers switching to competitive brands since their needs cannot be satisfied.... ..."

"... In PAGE 2: ....e. the VVoIP system. These earlier works focused on many aspects of network performance bottleneck issues such as frame rate, packet delay, jitter, loss and reordering mainly in the purview of voice traffic and in some cases in the purview of video traffic. While addressing video traffic behavior, these studies have limited their scope to low-speed interactive audiovisual streams ( lt;384 Kbps) and have failed to verify these findings to be applicable to high-speed interactive multimedia data streams shown in Table1 . Since high-speed VVoIP applications using technologies in Table 1 are beginning to become widespread in use [22], it has become necessary to study performance bottlenecks relating to these applications by extending earlier principles and methodologies to better understand high-speed VVoIP system bottlenecks.... In PAGE 2: ... While addressing video traffic behavior, these studies have limited their scope to low-speed interactive audiovisual streams ( lt;384 Kbps) and have failed to verify these findings to be applicable to high-speed interactive multimedia data streams shown in Table 1. Since high-speed VVoIP applications using technologies in Table1 are beginning to become widespread in use [22], it has become necessary to study performance bottlenecks relating to these applications by extending earlier principles and methodologies to better understand high-speed VVoIP system bottlenecks. ... ..."

"... In PAGE 3: ...ransactions that contain C8.item, but not in C8.item, we say that this item is an equivalence item with C8. Table1 shows a sample data set and Table 2 shows the support of items in the sample data set. Also, for this sample data set, Figure 2 illustrates the two-phase maximal hyper- clique pattern mining process.... ..."

"... In PAGE 3: ...ransactions that contain C8.item, but not in C8.item, we say that this item is an equivalence item with C8. Table 1 shows a sample data set and Table2 shows the support of items in the sample data set. Also, for this sample data set, Figure 2 illustrates the two-phase maximal hyper- clique pattern mining process.... ..."

"... In PAGE 3: ...item, we say that this item is an equivalence item with a7 . Table1 shows a sample data set and Table 2 shows the support of items in the sample data set. Also, for this sample data set, Figure 2 illustrates the two-phase maximal hyper- clique pattern mining process.... ..."