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    Logical Data Modelling

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    Last Class: RPCs and RMI • Case Study: Sun RPC • Lightweight RPCs • Remote Method Invocation (RMI) – Design issues Computer Science CS677: Distributed OS Lecture 1‚ page 1 Today: Communication Issues • Message-oriented communication – Persistence and synchronicity • Stream-oriented communication Computer Science CS677: Distributed OS Lecture 1‚ page 2 Persistence and Synchronicity in Communication • General organization of a communication system in which hosts

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    simulation and modelling

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    Simulation software Simulation software is based on the process of modeling a real phenomenon with a set of mathematical formulas. It is‚ essentially‚ a program that allows the user to observe an operation through simulation without actually performing that operation. Simulation software is used widely to design equipment so that the final product will be as close to design specs as possible without expensive in process modification. Simulation software with real-time response is often used in gaming

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    Molecular Modelling

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    Molecular modelling is the general term used to describe the use of computers to construct molecules and perform a variety of calculations on these molecules in order to predict their chemical characteristics and behaviour. The term molecular modelling is often used synonymously with the term computational chemistry. Computational chemistry is a broader term‚ referring to any use of computers to study chemical systems. Some chemists use the term computational quantum chemistry to refer to the use

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    Business Modelling

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    Business Modelling for Decision Making Version 1.0 Flexible Learning Helping you bring Learning to Life Published by The University of Sunderland The publisher endeavours to ensure that all its materials are free from bias or discrimination on grounds of religious or political belief‚ gender‚ race or physical ability. These course materials are produced from paper derived from sustainable forests where the replacement rate exceeds consumption. The copying‚ storage in any retrieval system

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    SIMULATION AND MODELLING

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    ICS 2307 SIMULATION AND MODELLING Course Outline Systems modelling – discrete event simulation Design of simulation experiments simulation Language probability and distribution theory Statistical estimation‚ inference and random number generators Sample event sequences for random number generation Translation of models for simulation application References Simulation modelling and analysis Introduction Computers can be used to imitate (simulate) the operations of various kinds of real

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    Simulation and Modelling

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    Discrete-event System Simulation J. Banks‚ J.S. Carson and B.L. Nelson Prentice Hall International‚ 1994 SIMULATION AND MODELLING Tony Field and Jeremy Bradley {ajf‚jb}@doc.ic.ac.uk • Simulation Modeling and Analysis A.M. Law and W.D. Kelton McGraw Hill‚ 2000 • Probabilistic Modelling I. Mitrani Cambridge University Press‚ 1998 1 2 • A Compositional Approach to Performance Modelling (first three chapters) J. Hillston Cambridge University Press‚ 1996. On-line at: http://www.doc.ic.ac.uk/ jb/teaching/336/1994hillston-thesis

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    Tide Modelling

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    and describe any variables‚ parameters or constraints for the model. In the end I will modify the same model using the regression feature of graphing software to develop a best-fit function for the data. This modeling task will allow me to find out what is the best time that a good sailor should launch their boat. For all the diagrams‚ I am using autograph to plot my graphs and find the regression model. Table 1 below shows the height of tide at different time from 27 December 2003 using Atlantic

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    Business Modelling

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    Business Modelling Revision Mutually exclusive event- add the probabilities together to find the probability that one or other of the events will occur. E.g men/woman P(A or B)= P(A)+P(B) Non mutually exclusive- shared characteristic P (A or B)= P(A) + P(B) – P(B+A) Independent events – outcome is known to have no effect on another outcome P (A+B) = P(A) X P(B) Dependant events- outcome of one event affects the probability of the outcome of the other. Probability of the second event said to be dependent

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    SIMULATION AND MODELLING

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    SIMULATION AND MODELING 1. Generate 20 random numbers and solve the following integrals by monte-carlo (i) (ii) 2. A piece of equipment contains four identical tubes and can function only if all the four are in working order. The lives of tubes has approximately uniform distribution from 1000 to 2000 hours. The current maintenance practice is to replace a tube when it fails. Equipments has to be shut down for 1 hr for replacing a tube‚ the cost of one tube is sh 100‚ while the shut down time

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    competence modelling

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    management practices. changes‚ education shortages‚ and global labor movement from its competition. It may well be the single most important differentiator. Competitors can imitate each other’s products‚ processes or services. Ideas can be copied. What cannot be replicated is the source of the ideas – the people. It is an edge over the competition. The market for talent is becoming increasingly competitive because talent is not an inexhaustible resource. Demographic are some of the challenges

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