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Computer-Aided.Design.Engineering.and.Manufacturing P2

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The complexity of the assembling sequences makes computer simulation a cheap. The choice of the effective solution is obtained using the package MAR-SIFIP. et al., 1993, Creating the preconditions for a stepwise automation of the assembly process: a case study, 24th Intl. and Dini, G., 1992, Computer-aided planning of assembly operations: the selection of the assembly sequences, Int. and Walther, J., 1982, Automatic assembly: state-of-the-art, 3rd Intl

Computer-Integrated Assembly for Cost Effective Developments

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The complexity of the assembling sequences makes computer simulation a cheap. The choice of the effective solution is obtained using the package MAR-SIFIP. et al., 1993, Creating the preconditions for a stepwise automation of the assembly process: a case study, 24th Intl. and Dini, G., 1992, Computer-aided planning of assembly operations: the selection of the assembly sequences, Int. and Walther, J., 1982, Automatic assembly: state-of-the-art, 3rd Intl

A simulation study of the amorphous germania structure up to 70 GPa

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Rogan, Structure of Liquid Geo2 from A Computer Simulation Model, Physical Review E, Vol. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.69.031201.. https://doi.org/10.1103/PhysRevB.73.094120.. Poole, Simulated Silica, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Vol. https://royalsocietypublishing.org/doi/10.1098/rsta.2004.1506.

Introduction to Modern Liquid Chromatography, Third Edition part 53

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Another barrier to the use of computer simulation is the belief that the chromatographer has no need for computer simulation, because of his or her experience and competence. While computer simulation is seldom essential for carrying out method development, it can frequently reduce cost and improve the quality of the final method, even for experienced chromatographers. On the other hand, computer simulation is not a substitute for competence.

Introduction to Modern Liquid Chromatography, Third Edition part 54

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By means of computer simulation, it is relatively easy to select best conditions for each of the two runs so that overall critical resolution for the sample is maximized [20]. 10.2.3.7 Examples of Computer Simulation as Part of Method Development. Numerous examples of computer simulation have been reported, as summarized in [22] and p. Other publications report the use of computer simulation for the actual development of a routine method.

Introduction to Modern Liquid Chromatography, Third Edition part 2

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METHOD DEVELOPMENT 475 10.1 Introduction, 475. 10.1.1 Basis and History of Computer Simulation, 478. 10.1.2 When to Use Computer Simulation Advantages, 479. 10.1.2.2 Disadvantages, 480 10.2 Computer-Simulation Software, 481. 10.2.1 DryLab Operation Gradient Optimization Other Features, 485. 10.2.3.1 Isocratic Predictions from Gradient Data, 485. 10.2.3.2 Designated-Peak Selection Change in Other Conditions Computer Selection of the Best. 10.2.3.6 Two-Run Procedures for the Improvement of Sample

Introduction to Modern Liquid Chromatography, Third Edition part 55

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For isocratic methods where computer simulation was used to select an optimized value of %B, the effect of a change in %B by ±2% relative can be determined by computer simulation. %B for gradient elution can be determined by computer simulation, by entering different values of the gradient range into the computer (e.g., for a nominal 5–100%. For the LSD method above, the effect of a change in flow rate by ±2% can again be determined by computer simulation: <0.1 R s -unit..

Introduction to Modern Liquid Chromatography, Third Edition part 52

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METHOD DEVELOPMENT. 10.1 INTRODUCTION, 475. 10.1.1 Basis and History of Computer Simulation When to Use Computer Simulation, 478 10.2 COMPUTER-SIMULATION SOFTWARE, 481. 10.2.1 DryLab Operation Gradient Optimization Other Features, 485. 10.2.4 Peak Tracking, 489. 10.2.5 Sources of Computer-Simulation Software, 489 10.3 OTHER METHOD-DEVELOPMENT SOFTWARE, 491. 10.3.1 Solute Retention and Molecular Structure Solute pK a Values and Molecular Structure Reversed-Phase Column Selectivity, 492. 10.3.4 Expert

63 ESPRIT and Closed-Form2-D Angle Estimation with Planar Arrays

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F H r = Q T K 0 C v V H ∈ C K 0 ×M (63.29). (63.28). 63.4.1 Results of Computer Simulations. Figure 63.5 depicts the results of the simulation. TABLE 63.4 Summary of UCA-ESPRIT. 63.5 FCA-ESPRIT for Filled Circular Arrays. FIGURE 63.5: Plot of the UCA-ESPRIT eigenvalues ξ 1 = sin θ 1 e j φ 1 and ξ 2 = sin θ 2 e j φ 2 for 200 trials.. (63.30). B = WC ∈ C M×K 0 (63.32). 63.5.1 Computer Simulation. TABLE 63.5 Summary of FCA-ESPRIT 0. FIGURE 63.7: Random filled array..

Digital Signal Processing Handbook P63

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F H r = Q T K 0 C v V H ∈ C K 0 ×M (63.29). (63.28). 63.4.1 Results of Computer Simulations. Figure 63.5 depicts the results of the simulation. TABLE 63.4 Summary of UCA-ESPRIT. 63.5 FCA-ESPRIT for Filled Circular Arrays. FIGURE 63.5: Plot of the UCA-ESPRIT eigenvalues ξ 1 = sin θ 1 e j φ 1 and ξ 2 = sin θ 2 e j φ 2 for 200 trials.. (63.30). B = WC ∈ C M×K 0 (63.32). 63.5.1 Computer Simulation. TABLE 63.5 Summary of FCA-ESPRIT 0. FIGURE 63.7: Random filled array..

Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design - Part 52

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Problem analysis The data generated by computer simulation models represent, in effect, the inductive reasoning of the modelling process as the conclusion of a set of inductive inferences, i. assumptions of behavioural results or the out- come of operating characteristics about the behaviour of the real system. The rules for analysing the data generated by computer simulation models are predominantly statistical sampling rules based on the theory of probability.

Lecture Managerial economics: Chapter 16 - Mark Hirschey

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Computer Simulation

EE 4504 Computer Organization

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This section has briefly presented a history of the electronic computer

Fitting Simulation & Kinematics

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Close the Sensors window and select the Reset button in the Kinematics Simulation window.

Basic Simulation Using Hysys - m1

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BASIC SIMULATION USING HYSYS Internal training Mục tiêu của khoá học  Làm quen với 1 số tính năng cơ bản của Hysys  Sử dụng Hysys trong tính toán công nghệ  Refresh các kiến thức về công nghệ và áp dụng trong Hysys KHỞI ĐỘNG – LÀM QUEN VỚI HYSYS Internal training Learning Objectives  Định nghĩa các thông tin Fluid Package  Tạo dòng Streams  Tính toán Flash calculations  Sử dụng Stream Utilities  Thay đổi Workbook Simulation Basis Manager  Fluid Package chứa tất cả các thông tin để tính toán

Intégration SIG et simulation

Trillaud_fabrice.pdf

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F Cr´ eation de donn´ ees raster 65. 1.2 Les ´ etapes de la g´ en´ eration d’une ville. 1.4 Exemple de division de blocs par les diagrammes de Voronoi [Perret 06] 8 1.5 Exemple de r´ esultat de la simulation sur Salonica. 1.7 Comparaison de la simulation avec la r´ ealit´ e. 2.1 Hi´ erachie des ´ el´ ements pour le peuplement de la grille (de haut en bas : priorit´ e maximale ` a minimale. 3.10 D´ ecoupage en quartiers d’un village poss´ edant deux routes princi- pales : les quartiers situ´ es le

COMPUTER-AIDED DESIGN P1

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Computer-aided design (CAD) uses the mathematical and graphic-processing power of the computer to assist the engineer in the creation, modification, analysis, and display of designs. 13.2.1 Input/Output and Central Processing Unit (CPU) 282 13.3 THE COMPUTER Computer Evolution Categories of Computers Central Processing Unit. Geometric mod- eling, engineering analysis, simulation, and the communication of the design information can also be performed using CAD.. 13.1.2 The Design Process.

Hardware and Computer Organization- P1

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The IBM 360 family is a representative example of the mainframe computer of the day. The fourth generation, roughly 1969–1977 was the age of the minicomputer. The minicomputer was the computer of the masses. It wasn’t quite the PC, but it moved the computer out of the sterile environment of the “computer room,” protected by technicians in white coats, to a computer in your lab. Here was the introduction of the small and medium scale integrated circuits.

Performance evaluation of data transport over differentnode density of zigbee sensor network – an opnet simulation study

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“On QoS evaluation for ZigBee incorporated Wireless Sensor Network (IEEE802.15.4) using mobile sensor nodes”, Journal of King Saud University-Computer and Information Sciences (2018).. [8] IEEE 802.15.4 OPNET simulation model, http://www.open-zb.net. Figure 8a: Simulation values of delay as a function of maximum back-off number.

Dynamic coordination in RoboCup soccer simulation

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Dynamic coordination in RoboCup soccer simulation. The RoboCup Soccer Simulation is considered as a good application of the Multi-Agent Systems. By using the multi-agent approach, each team in this simulation is considered as a multi- agent system, which is coordinated each other and by a coach agent. We present then our approach related the dynamic coordination in order to improve the performance of our team..