...• System Integrity/Validation and Final Project Summary o Project Summary o Over the past six weeks, our firm has analyzed the accounting information systems of Kudler Fine Foods. We have discussed their current computer system and evaluated the possibility of threats to it and recommend integrated software solutions. The T3 line at Kudler is clearly more data transmission than is necessary for the company, so it was recommended they switch to T1 dedicated line to reduce costs. Due to the importance of inventory control, we showed management how to take their current inventory data tables and construct pivot tables to improve decision making on inventory. Internal controls were reviewed on payroll, accounts payable, accounts receivable, and inventory processes to ensure the accuracy and validity of data. The review determined that if Kudler does not implement the recommended internal controls system suggested, the business could be under serious threats. Information Technology (IT) auditing is another important improvement that Kudlers should make since our analysis showed that there are risks and vulnerabilities in the AIS process. Our final recommendation will be in the way that the audit process is improved by using computer assisted auditing techniques. This will complete the firm’s analysis and recommendations for Kudler Fine Foods. o Our firm last week analyzed and recommended different types of Information Technology (IT) audits that Kudler Fine...
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...Offshore Drilling Incorporated Introduction On April 1, 1998, John Dolittle received a call he feared would be coming. His client, Linda Sprague, the President of Petroleum Exploration and Production Corporation (PEPCO), wanted to default on PEPCO’s contract with John’s company, Offshore Drilling Incorporated (ODI). Sprague gave two weeks notice until the papers would be filed. ODI is an offshore drilling contractor that provides mobile drilling rigs, as well as the expertise and personnel to drill the wells on behalf of exploration and production (E&P) companies. John’s client, PEPCO, was one such company. ODI had developed and was operating a rig for PEPCO, and the contract specified that PEPCO would pay ODI a fixed fee, or “day rate” for each day ODI spent on site drilling for oil with the rig. The day rate specified in the contract between PEPCO and ODI translated into roughly $105,000 per day. When the 39-month contract was first signed, in December of 1995, the price of oil was roughly $19 per barrel, and this left PEPCO with a healthy profit. Since the beginning of December of 1997, however, the spot price of oil had dropped about 20%, from about $19.00 to less than $15.00 per barrel. (See Exhibit 1.) When the price of oil drops below the cost of production, E&P companies typically halt production and exploration, and this was one option that PEPCO was considering. In this case, PEPCO would default on its contract with ODI, and this might lead the two companies into costly...
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... 1. Executive Summary……………………………………………………3 2. Introduction…………………………………………………………….4 3. Background…………………………………………………………….5 4. Findings………………………………………………………………...6 a. Artificial Intelligence Tools……………………………………..7 b. Business Examples…………………………………………….10 5. Future Trends and Challenges………………………………………...18 6. Conclusion……………………………………………………………19 7. Bibliography…………………………………………………………..20 2 SCM Research paper | Shreerang Datar Executive Summary: Surpassing the limits of business intelligence, artificial intelligence (AI) focuses on developing an algorithmic approach in decision making. This technology has come so far that inculcating human competencies like logic, reasoning, simulation and analytical thinking in a machine seems to be in reach. In the field of Supply Chain Management this technology is placing a strong foot in achieving creative optimization and automation in different supply chain processes. AI has found its applications in various SCM aspects which include Inventory management, Network design optimization, Logistics strategy formulation, demand forecasting, etc. It is designed to generate a step-wise mechanism for problem solving in which it defines the problem classifies it into various domains, formulates sub-problems, seeks for external information and develops solutions in a strategic way. For companies who are excessively dependent on employees to analyze business problems and give appropriate recommendations, AI systems can be...
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...RAM RAMESH Office: Residence: Department of Management Science & Systems 82 Prestonwood Lane School of Management, SUNY at Buffalo East Amherst, NY 14051 Buffalo, New York 14260 Ph: (716) 688-6360 Ph: (716) 645-3258 Fax: (716)645-6117 E-Mail: rramesh@acsu.buffalo.edu Web: http://mgt.buffalo.edu/faculty/academic/systems/faculty/rramesh Education Ph.D. Industrial Engineering (Operations Research) (1985) State University of New York at Buffalo (GPA: 4.0. Awarded Ph.D with Distinction) Advisors: Mark H. Karwan and Stanley Zionts M.Tech. Industrial Engineering (1977) Indian Institute of Technology, Madras B.Tech. Chemical Engineering (1975) Indian Institute of Technology, Madras Research Streams • • • • Economics of IT – MSP and Cloud Computing Markets Conceptual Modeling and Ontologies Database Systems and Distributed Computing Supply Chains & Decision Analysis Employment Professor Department of Management Science & Systems School of Management State University of New York at Buffalo (September 1998 - ) Associate Professor Department of Management Science & Systems State University of New York at Buffalo (September, 1990 – September 1998) Assistant Professor Department of Management Science & Systems State University of New York at Buffalo (September, 1984 - September, 1990) 1 Research and Teaching Assistant Doctoral Program in Operations Research Department of Industrial Engineering State University of New York at Buffalo (January, 1981 - September, 1984) Entrepreneur...
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...try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is, this being a good thing to decide before embarking. Humankind has given itself the scientific name homo sapiens--man the wise--because our mental capacities are so important to our everyday lives and our sense of self. The field of artificial intelligence, or AI, attempts to understand intelligent entities. Thus, one reason to study it is to learn more about ourselves. But unlike philosophy and psychology, which are also concerned with intelligence, AI strives to build intelligent entities as well as understand them. Another reason to study AI is that these constructed intelligent entities are interesting and useful in their own right. AI has produced many significant and impressive products even at this early stage in its development. Although no one can predict the future in detail, it is clear that computers with human-level intelligence (or better) would have a huge impact on our everyday lives and on the future course of civilization. AI addresses one of the ultimate puzzles. How is it possible for a slow, tiny brain{brain}, whether biological or electronic, to perceive, understand, predict, and manipulate a world far larger and more complicated than itself? How do we go about making something with those properties? These are hard questions, but unlike the search for faster-than-light travel or an antigravity device, the...
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...trials and competitor activity. Efficient capacity utilisation plans and robust infrastructure investment decisions will be important as regulatory pressures increase and margins are eroded. The ability to locate nodes of the supply chain in tax havens and optimise trading and transfer price structures results in interesting degrees of freedom in the supply chain design problem. Prior even to capacity planning comes the problem of pipeline and testing planning, where the selection of products for development and the scheduling of the development tasks requires a careful management of risk and potential rewards. At the operation stage, it is often difficult to ensure responsiveness. Most pharmaceutical products involve primary active ingredient (AI) production (often multi-stage chemical synthesis or bioprocess) and secondary (formulation) production. Both of the stages are...
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...What Kind of Applications Are Targeted? Major Issues in Data Mining A Brief History of Data Mining and Data Mining Society Summary 2 Why Data Mining? n The Explosive Growth of Data: from terabytes to petabytes n Data collection and data availability n Automated data collection tools, database systems, Web, computerized society n Major sources of abundant data n n n Business: Web, e-commerce, transactions, stocks, … Science: Remote sensing, bioinformatics, scientific simulation, … Society and everyone: news, digital cameras, YouTube n n We are drowning in data, but starving for knowledge! “Necessity is the mother of invention”—Data mining—Automated analysis of massive data sets 3 Evolution of Sciences: New Data Science Era n n Before 1600: Empirical science 1600-1950s: Theoretical science n Each discipline has grown a theoretical component. Theoretical models often motivate experiments and generalize our understanding. Over the last 50 years, most disciplines have grown a third, computational branch (e.g. empirical, theoretical, and computational ecology, or physics, or linguistics.) Computational Science traditionally meant simulation. It grew out of our inability to find closed-form solutions for complex mathematical models. The flood of data from new scientific instruments and simulations The ability to...
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...Fuzzy Control Kevin M. Passino Department of Electrical Engineering The Ohio State University Stephen Yurkovich Department of Electrical Engineering The Ohio State University An Imprint of Addison-Wesley Longman, Inc. Menlo Park, California • Reading, Massachusetts Don Mills, Ontaria • Sydney • Bonn • Harlow, England • Berkeley, California • Amsterdam • Mexico City ii Assistant Editor: Laura Cheu Editorial Assistant: Royden Tonomura Senior Production Editor: Teri Hyde Marketing Manager: Rob Merino Manufacturing Supervisor: Janet Weaver Art and Design Manager: Kevin Berry Cover Design: Yvo Riezebos (technical drawing by K. Passino) Text Design: Peter Vacek Design Macro Writer: William Erik Baxter Copyeditor: Brian Jones Proofreader: Holly McLean-Aldis Copyright c 1998 Addison Wesley Longman, Inc. All rights reserved. No part of this publication may be reproduced, or stored in a database or retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Printed simultaneously in Canada. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and AddisonWesley was aware of a trademark claim, the designations have been printed in initial caps or in all caps. MATLAB is a registered trademark of The MathWorks...
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...1577-8517 The impact of Accounting Information Systems (AIS) on performance measures: empirical evidence in Spanish SMEs1 Elena Urquía Grande. Complutense University of Madrid. Spain. eurquiag@ccee.ucm.es Raquel Pérez Estébanez. Complutense University of Madrid. Spain. raquel.perez@ccee.ucm.es Clara Muñoz Colomina. Complutense University of Madrid. Spain. cimunnoz@ccee.ucm.es Abstract. This research study is aimed, based on empirical evidence, at measuring the relationship between the use of the Accounting Information Systems (AIS) by the Small and Medium Sized Enterprises (SMEs) in Spain, and firms’ improved performance indicators and productivity. This empirical study is based on a survey carried out among small and medium-sized firms to ascertain the extent to which development and implementation of accounting information systems had taken place, and subsequently an analysis was made as to how much this introduction may impact on improvement in outcome indicators and productivity. As interesting results we have found that there is a positive relationship among the SMEs that use AIS for fiscal and bank management and better performance measures. This research provides value added in accounting literature given the scarcity of works dealing with the relationship between the application and use of AIS and performance and productivity indicators in SMEs in Spain. Keywords: Accounting Information Systems (AIS), Small and Medium-Sized Enterprises (SMEs), performance...
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...Expert Systems with Applications PERGAMON Expert Systems with Applications 20 (2001) 1±6 www.elsevier.com/locate/eswa Knowledge management and its link to arti®cial intelligence J. Liebowitz* Robert W. Deutsch Distinguished Professor of Information Systems University of Maryland±Baltimore County, Department of Information Systems, 1000 Hilltop Circle Baltimore, MD 21250, USA Abstract Knowledge management is an emerging area which is gaining interest by both industry and government. As we move toward building knowledge organizations, knowledge management will play a fundamental role towards the success of transforming individual knowledge into organizational knowledge. One of the key building blocks for developing and advancing this ®eld of knowledge management is arti®cial intelligence, which many knowledge management practitioners and theorists are overlooking. This paper will discuss the emergence and future of knowledge management, and its link to arti®cial intelligence. q 2001 Elsevier Science Ltd. All rights reserved. Keywords: Knowledge management; Arti®cial intelligence; Expert systems 1. Introduction 2. Knowledge management and its underlying concepts Business process reengineering (BPR), Year 2000 (Y2K), and now knowledge management (KM). Is knowledge management something as a fad that the consultants dreamed up to keep themselves gainfully employed in the coming years or should knowledge management be treated as a strategic goal in organizations for better capturing...
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...A hybird / digital software package for the solution of chemical kinetic parameter identification problems by ALAN M. CARLSON Electronic Associates, Inc. Princeton, New Jersey INTRODUCTION The modern hybrid computer offers many significant improvements over first generation hybrid systems These improvements include: 1. The increased speed of digital computers en- abling programs to be written in hybrid FORTRAN without drastically limiting hybrid solution rates. 2. The development of analog/hybrid software (e.g., hybrid simulation languages and analog set-up programs). The net result of these improvements has been an increase in the SCope and complexity of hybrid applications and a reduction in the effort required to program and debug hybrid problems. Unfortunately, the dev'elopment of hybrid applications software has not kept pace with recent hybrid improvements. Applications software for purposes of this discussion is defined as an integrated set of digital/hybrid programs capable of solving the majority of frequently occurring problems in a specific applications area. Based on this definition, little or no tangible information is currently available on the practicality of developing hybrid software packages although its benefits are obvious. In mid-1968, EAT's Princeton Computation Center initiated a development project to· determine the feasibility of hybrid applications software. The objectives of the project were to select a frequently occurring 733 application...
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...for helpful comments and Michael Gordy for suggesting the idea behind section 7. This paper represents the views of the author and should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System or other members of its staff. I can be reached via email at michael.s.gibson@frb.gov. Postal address: Mail Stop 91, 20th and C Streets NW, Washington, DC 20551. Phone: 1-202-452-2495. Fax: 1-202-452-3819. Understanding the Risk of Synthetic CDOs Abstract: Synthetic collateralized debt obligations, or synthetic CDOs, are popular vehicles for trading the credit risk of a portfolio of assets. Following a brief summary of the development of the synthetic CDO market, I draw on recent innovations in modeling to present a pricing model for CDO tranches that does not require Monte Carlo simulation. I use the model to analyze the risk characteristics of the tranches of synthetic CDOs. The analysis shows that although the more junior CDO tranches – equity and mezzanine tranches – typically contain a small fraction of the notional amount of the CDO’s reference portfolio, they bear a majority of the credit risk. One implication is that credit risk disclosures relying on notional amounts are especially inadequate for firms that invest in CDOs. I show how the equity and mezzanine tranches can be viewed as leveraged exposures to the underlying credit risk of the CDO’s reference portfolio. Even though mezzanine tranches are typically rated investment-grade...
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...thing that approaches the importance of that reality is finding like minds that realize the same, and being able to make some connection with them. If these books have influenced you the same way that they have us, we invite your contact at the email addresses listed below. Enjoy, Michael Beight, piman_314@yahoo.com Steven Reddell, cronyx@gmail.com Here are some new links that we’ve found interesting: KurzweilAI.net News articles, essays, and discussion on the latest topics in technology and accelerating intelligence. SingInst.org The Singularity Institute for Artificial Intelligence: think tank devoted to increasing Humanity’s odds of experiencing a safe, beneficial Singularity. Many interesting articles on such topics as Friendly AI, Existential Risks. A SingInst.org/Media Videos, audio, and PowerPoints from the Singularity Summits; and videos about SIAI’s purpose. blinkx.com/videos/kurzweil Videos on the internet in which the word “Kurzweil” is spoken. Great new resource! PRAISE FOR THE...
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...Journal of Arti cial Intelligence Research 7 (1997) 83-124 Submitted 6/97; published 9/97 Towards Flexible Teamwork Milind Tambe Information Sciences Institute and Computer Science Department University of Southern California 4676 Admiralty Way Marina del Rey, CA 90292, USA tambe@isi.edu Many AI researchers are today striving to build agent teams for complex, dynamic multi-agent domains, with intended applications in arenas such as education, training, entertainment, information integration, and collective robotics. Unfortunately, uncertainties in these complex, dynamic domains obstruct coherent teamwork. In particular, team members often encounter di ering, incomplete, and possibly inconsistent views of their environment. Furthermore, team members can unexpectedly fail in ful lling responsibilities or discover unexpected opportunities. Highly exible coordination and communication is key in addressing such uncertainties. Simply tting individual agents with precomputed coordination plans will not do, for their in exibility can cause severe failures in teamwork, and their domain-speci city hinders reusability. Our central hypothesis is that the key to such exibility and reusability is providing agents with general models of teamwork. Agents exploit such models to autonomously reason about coordination and communication, providing requisite exibility. Furthermore, the models enable reuse across domains, both saving implementation e ort and enforcing consistency. This...
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...Project and Problem Folders and Files Unit 1. Elementary Circuit Analysis for Analog Electronics Section 1.1. Resistor Voltage Divider and MOSFET DC Gate Voltage Section 1.2. Output Circuit and DC Drain Voltage Section 1.3. Frequency Response of the Amplifier Stage Section 1.4. Summary of Equations Section 1.5. Exercises and Projects Unit 2. Transistors and Voltage Amplification Section 2.1. BJT and MOSFET Schematic Symbols, Terminal Voltages, and Branch Currents Section 2.2. Fundamentals of Signal Amplification: The Linear Circuit Section 2.3. Basic NMOS Common-Source Amplifier Section 2.4. Transistor Output Resistance and Limiting Gain Section 2.5. Summary of Equations Section 2.6. Exercises and Projects Section 2.7. References to the Electronics Book Sequence Unit 3. Characterization of MOS Transistors for Circuit Simulation Section 3.1. Physical Description of the MOSFET Section 3.2. Output and Transfer Characteristics of the MOSFET Section 3.3. Body Effect and Threshold Voltage Section 3.4. Derivation of the Linear-Region Current – Voltage Relation Section 3.5. Summary of Equations Section 3.6. Exercises and Projects Unit 4. Signal Conductance Parameters for Circuit Simulation Section 4.1. Amplifier Circuit and Signal Equivalent Circuits Section 4.2. Transistor Variable Incremental Relationships Section 4.3. Transconductance Parameter Section 4.4. Body-Effect Transconductance Parameter Section 4.5. Output Conductance...
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