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PROGRAM VIEW GENERATION AND CHANGE ANALYSIS USING ATTRIBUTED DEPENDENCY GRAPHS

JOURNAL OF SOFTWARE MAINTENANCE-RESEARCH AND PRACTICE 1995年第4期7卷 239-261页

作者： ALZOUBI, R PRAKASH, A Software Systems Research Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2122 U.S.A. He is currently an Assistant Professor at Yarmouk University Irbed H.K. of Jordan. Earlier he has worked for the Ford Motor Company in Dearborn Michigan. His research interests are in the area of software engineering. Since 1989 he has been with the Department of Electrical Engineering and Computer Science at the University of Michigan Ann Arbor where he is currently an Associate Professor. His research interests include software engineering and computer-supported cooperative work. He is a member of the ACM and the IEEE Computer Society.

Software maintenance is usually the most expensive phase of the software life-cycle, Program understanding and impact-of-change analysis are two of the major activities during this phase, In this paper, we describe attributed program dependency graphs (APDGs), a model to store information derived from the program source code and ease construction of tools for software maintenance, We show how the model can be used for interactive view generation and doing two kinds of impact-of-change analysis-incremental and comparison-oriented. Incremental change analysis uses APDGs and a Rule Base to provide a way for the user to analysis the effect of proposed well-defined changes, Comparison-oriented change analysis allows a user to generate structural semantic differences between two versions of a subsystem after an arbitrary sequence of changes, We also introduce SCAN, a prototype collection of loosely integrated tools based on the APDG model and describe our experiences with the system.

关键词： PROGRAM REPRESENTATION DEPENDENCY GRAPHS PROGRAM UNDERSTANDING REVERSE-engineering REengineering IMPACT ANALYSIS CHANGE ANALYSIS

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OPTIMUM FREQUENCY REUSE IN MOBILE TELEPHONY SYSTEMS

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 1995年第3期8卷 185-190页

作者： KAZANTZAKIS, MG DEMESTICHAS, PP ANAGNOSTOU, ME National Technical University of Athens Computer Science Division Department of Electrical and Computer Engineering Heroon Polytechneiou 9 Zografou Athens 15773 Greece Michael G. Kazantzakii was born in Athens Greece in 1962. He received both the Diploma and Ph.D. Degree from the Electrical Engineering Department of the National Technical University of Athens in 1986 and 1992 respectively. During the period 1992–1993 he was a member of the Staff of the Hellenic Navy Research Centre working in the area of underwater acoustics. Since 1994 he has been a researcher at the National Technical University of Athens Department of Electrical Engineering and Computer Science Telecommunications Laboratory. His interests include data mobile and integrated services networks. Panagiotis P. Demestichas was born in Athens Greece in 1967. He received the Diploma in electrical engineering from the National Technical University of Athens (NTUA) Athens in 1993. At present he is a research assistant at NTUA working towards his Ph.D. dissertation. He participated in the BRITE/EURAM-EURATN and in the RACE-TOMQAT and MONET projects. His research interests are in the areas of broadband and mobile networks queueing theory algorithms and complexity theory. He is a Member of the Technical Chamber of Greece. Miltiades E. Anagnostou was born in Athens in 1958. He received the Electrical Engineers Diploma from the National Technical University of Athens (NTUA) in 1981. During the period 1981–1987 he was a teaching assistant at NTUA. In 1987 he received his Ph.D. in the area of computer networks. In 1987–1989 he served the Greek army in the Air Force Research and Development Center. In 1989–1991 he was a Lecturer and since 1991 he has been an Assistant Professor in the Computer Science Division Department of Electrical and Computer Engineering of the NTUA. He teaches courses on modern telecommunications formal specification of protocols stochastic processes and queueing theory. Since 1981 Dr. Anagnostou has been involved

The reason why cellular mobile telephony systems exist is that they allow frequency reuse. Dynamic allocation algorithms improve the network efficiency and the service quality. Dynamic allocation is closely related to the following instantaneous allocation problem: given a number of channels (frequencies), a cell structure and the number of calls to be accommodated in each cell, find the optimum allocation of channels to cells subject to restrictions concerning the distance of cells, where the same frequency can be reused. In this paper we formulate and solve this problem by showing that it can be reduced to a 0-1 programming problem. Finally we present results, and draw subsequent conclusions.

关键词： MOBILE TELEPHONY FREQUENCY ALLOCATION UMTS

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Use of artificial neural networks: predicting trickling filter performance in a municipal wastewater treatment plant

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Environmental Management and Health 1995年第2期6卷

作者： Hao‐Che Pu Yung‐Tse Hung Assistant Professor of Computer Science Computer and Information Science Department Cleveland State University Cleveland Ohio USA Professor of Civil Engineering Civil Engineering Department Cleveland State University Cleveland Ohio USA

Artificial neural networks (ANN) are used as an alternativefunction approximation tool for predicting the performance of tricklingfilter treatment process in a municipal wastewater treatment plant,Solon, Ohio, USA, which uses a trickling filter followed by an activatedsludge process. The treatment plant had an average monthly inflow flowrate of 2.92 mgd (million gallons per day). The average raw, settled,and final BOD (biochemical oxygen demand) was 449, 235 and 4.8 mg/l,respectively, while the corresponding value for TSS (total suspendedsolids) was 296, 131, and 6.1 mg/l. The overall removal efficiency forBOD and TSS was 98.93 per cent and 97.95 per cent respectively. The bestANN model for predicting the trickling filter effluent BOD and TSS has aprediction error of 31.45 per cent and 32.54 per cent respectively. Thenumber of input variables, as well as number of nodes in hidden layerseemed not to have a definite effect on the prediction error for the ANNmodel. The prediction errors obtained with ANN models were lower thanthose obtained by multiple regression analysis.

关键词： Environment Modelling Multiple regression analysis Neural networks Solon Wasteworks Treatment Plant Statistics Waste

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Using simulation with hardware verification for teaching computer architecture

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computer Applications in engineering Education 1995年第3期3卷 173-173页

作者： Segee, B. Field, J. Littlefield, B. Department of Electrical and Computer Engineering University of Maine Orono Maine 04469—5708 Bruce E. Segee:is an Assistant Professor of Electrical and Computer Engineering at the University of Maine. He received BSEE (1985) and MSEE (1989) degrees from the University of Maine and a PhD from the University of New Hampshire (1992). He is a member of IEEE Eta Kappa Nu Tau Beta Pi and Sigma Xi. Dr. Segee's technical interests are in the areas of computer architecture neural networks instrumentation and industrial automation. He is the co-author of a John Wiley textMicroprogramming and Computer Architecture. John C. Field:is Professor and Chairperson of the Electrical and Computer Engineering Department at the University of Maine. He received the BSEE (1963) MSEE (1965) and PhD (1969) degrees all from Northeastern University. He is a member of IEEE Eta Kappa Nu Tau Beta Pi Sigma Xi and Phi Kappa Phi. Dr. Field's technical interests are in the areas of computers and microprocessor applications. He is the co-author of a John Wiley textMicroprogramming and Computer Architecture.

Material for a computer architecture class based on four progressively more complex microprogrammed circuits is described. The circuits and their associated microassemblers and simulators are discussed. Interestingly, the simulators allow students to understand the workings of the hardware more fully than is possible using the hardware alone.

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PARALLEL AND DISTRIBUTED TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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Electronic classroom assessment techniques: Assessment beyond the classroom in a networked environment

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Assessment Update 1995年第6期7卷

作者： Anita Gandolfo Curtis A. Carver Professor of English and director of the Center for Teaching Excellence at the United States Military Academy West Point New York Assistant professor in the Department of Electrical Engineering and Computer Science at the United States Military Academy

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Applying multimedia technology to undergraduate engineering laboratories

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computer Applications in engineering Education 1995年第3期3卷 157-157页

作者： Elsherbeni, A. Tew, M. Mokaddem, A. Electrical Engineering Department University of Mississippi University Mississippi 38677 Atef Z. Elsherbeni:received an honorary BS degree in Electronics and Communications an honorary BS degree in Applied Physics and a Meng degree in Electrical Engineering all from Cairo University Egypt in 1976 1979 and 1982 respectively and a PhD degree in Electrical Engineering from Manitoba University Canada in 1987. From January to August 1987 he was a postdoctoral fellow at the Electrical Engineering Department University of Manitoba. He joined the faculty at the University of Mississippi in 1987 as an assistant professor and advanced to the rank of associate professor in 1991. His professional interests include microstrip transmission lines and antennas scattering and diffraction numerical techniques and computer applications for electromagnetic education. Dr. Elsherbeni is a senior member of IEEE and a member of Commission B of the International Union of Radio Science (URSI). His honorary memberships include the Electromagnetics Academy and the Scientific Sigma Xi Society. Mark D. Tew:obtained his BS in Electrical Engineering with highest honors in 1971 and an MS in Electrical Engineering in 1973 from the University of Mississippi. He attended the University of Illinois at Urbana-Champaign as a TRW Doctoral Fellow and received the PhD in 1979. He joined the University of Mississippi in 1979 and was appointed associate professor in 1986. His interests lie in improving undergraduate laboratories through the incorporation of computer-aided data acquisition and introduction of multimedia. He is a senior member of IEEE and member of several honorary societies.

This article presents efforts to improve the presentation of material in high frequency, microwave, and electronics laboratories using multimedia technology. A crowded undergraduate curriculum leaves little time to dwell on difficult concepts in these areas of study, yet the laboratory experience is enhanced by greater understanding. A moderate or small-sized electrical engineering department is well suited for a one-on-one approach to teaching where close faculty—student interaction serves to fill many student needs. Even in this environment, better visualization tools may increase learning by reinforcing material introduced in the classroom. This project uses multimedia to enhance instruction and presentation in the high frequency, microwave, and electronics laboratories.

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A simplified real frequency independent modal transformation for overhead line switching transient computations

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European Transactions on Electrical Power 1995年第5期5卷 307-314页

作者： Papagiannis, G. Dokopoulos, P. Dipl.-Ing. Grigoris Papagiannis (1956) studied Electrical Engineering at the Department of Electrical Engineering of the Aristotle University of Thessaloniki/Greece. He received his Dipl.-Eng. degree in Electrical and Mechanical Engineering in 1979. Since 1981 he has been working as a Research Assistant at the Power Systems Laboratory of the Department of Electrical and Computer Engineering at the Aristotle University of Thessaloniki. His special interests are power systems analysis with emphasis in the computation of electromagnetic transients. (Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Power Systems Laboratory P.O. Box 486 GR-54006 ThessalonikV Greece T +30 3 I/99 63 88 Fax +30 3 1/99 63 02) Prof. Petros Dokopoulos (1939) received his Dip1.-Eng. degree in Electrical and Mechanical Engineering from the National Technical University of AthendGreece in 1962 and his Ph. D. degree from the University of Brunswic W Germany in 1967. From 1962 to 1967 he was with the High Voltage Laboratory at the University of Brunswick from 1967 to 1974 with the Nuclear Research Center at Julichl Germany from I974 to I978 with the Joint European Torus. Since 1978 he is full Professor at the Department of Electrical Engineering at the Aristotle University of Thessalonikil Greece. He has worked as consultant with Brown Boveri Cie MannheidGermany Siemens AG ErlangedGermany Public Power Corporation of Greece and with the National Telecommunication Organisation of Greece. His scientific fields of interest include dielectrics power switches generators transmission systems and alternative energy sources. (Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Power Systems Laboratory P.O. Box 486 GR-54006 Thessaloniki/Greece T + 3031/996321 Fax +3031/996302)

Modal transformation technique is a common tool for transmission line transient computations. A simplified modal decomposition of overhead transmission lines, suitable for time‐domain switching (up to 10⁵ Hz) transient computations, is proposed. By neglecting residual terms in the ZY matrix, transformation matrices are approximated as real and frequency independent. The resulting propagation constants remain unaffected from the line being transposed or not, although the existing asymmetries affect transformation matrices. The method can be extended for double circuit lines, provided they have the same configuration. Propagation characteristics, mode decoupling and travelling‐wave transmission effects have been investigated. Results are compared with those obtained from other methods in use. Copyright © 1995 John Wiley & Sons, Ltd.

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Multiagent fault‐diagnosis expert system in power systems

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European Transactions on Electrical Power 1995年第5期5卷 341-347页

作者： Wang, J.P. Trécat, J. Dr. Jianping Wang is a doctor fellow in the Faculte Polytechnique de Mons in Belgium. His current research field is parallel processing applications in power systems. Dr. Wang obtained his BS degree from Southwest Jiaotong University in P.R. Chinain 1982. From 1982 to 1990 he was appointed as an assistant lecturer. lecturer and associate professor respectively in the electrical engineering department of Southwest Jiaotong University. He obtained his Ph.D in the FacultC Polytechnique de Mons in July of 1993. (BD Dolez 3 1 FPMS B-7000 Mons Belgium T +32-65/37 41 87 Fax +32-65/37 43 00) Professor J. Trécat is a director in the power system laboratory in the Faculty Polytechnique de Mons. He obtained his Ph.D in the University of Manchester Institute of Science and Technology(UM1ST) in U.K. in 1970. He has been working in the fields of power system automation artificial intelligence application and computer vision in the Facult6 Polytechnique de Mons since 1970. He is a senior member of IEEE and he has made much contribution both in electrical engineering education and research. (BD Dolez 3 I FPMS B-7000 Mons T +32-651374185. Fax +32-6513743 00)

In order to solve the speed problem and shallow reasoning problem met in current research in fault diagnosis expert system, this paper presents a model based parallel fault diagnosis expert system for energy management systems (EMS). The Petri net model, which corresponds to the relationship between power system components and their protection systems, has been used for the inference in fault diagnosis. A multiagent parallel processing expert system, which is based on five transputers in Sun workstation, has been built for fault diagnosis purposes. The test results show that this expert system is not only fast but also has better performances. Copyright © 1995 John Wiley & Sons, Ltd.

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Audible noise in speed‐controlled inverter‐fed medium‐sized induction motors

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European Transactions on Electrical Power 1995年第1期5卷 5-13页

作者： Muster, J. Budig, P.K. Belmans, R. Geysen, W. Sattler, Ph.K. Jorg Muster (1955) studied Electrical Engineering at the Technische Hochschule Karl-Mm-StadtlGerrnany from 1974 to 1978. Till 1985 he was Assistant at the chair of Electrical Machines and Drives absolved with promotion about losses and torques of inverter supplied AC machines. From 1985 until 1988 he worked for a tool-machine factory developing high-speed AC drives. Since 1988 he is Scientific Assistant at the chair of Electrical Machines and Drives at the Technische Universität ChemnitdGermany. (TU ChemniWZwickau Dezernat 5.0 Technologietransfer Carolastr. 8 D-09 I l l Chemnitd Germany T +*** Fax +49371/686240) PeW-KlaUs Budig (1928) studied Electrical Engineering at the Technische Hochschule Dresden/Germany from 1948 till 1952. For two years he was Assistant at the chair of Electrical Machines and Drives. From 1954 he was with Sachsenwerk Dresden. He was involved in research and development of amplidyne three-phase commutator-machines DC and AC traction motors thyristor-supplied traction motors. For some years he was Chief Technologist and finally Chief Engineer. At this time he is planning the production of new types of electrical machines like hermetic-motors rolling-mill motors. hydrogenerators and fractional horsepower induction motors. 1966 he got a call as a Professor to theTechnical University at Chemnitz/Germany. His research activities are three-phase linear motors thyristor-supplied DC motors. electric cars. computation of magnetic fields multi-motor AC drives high precision drives for the submicrorneter-range. magnetic bearing and high speed AC drives. (TU ChemnitdZwickau Fachbereich Elektrotechnik Carolastr.8 D-0911 l ChemnitdGermany T+49371/5613323 Fax +49371/5613361) Ronnie J. M. Belmans (1956) received the M.Sc. degree in Electrical Engineering from the Katholieke Universiteit LeuvenBelgium in 1979 the Ph.D. degree from the same university in 1984 and the Special Doctorate in 1989. From 1979 to 1985 he was a member of the staff of the Katholieke Universiteit Leuven. Currently

The audible noise produced by three‐phase, squirrel‐cage induction motors, is caused by the space harmonics of the flux‐density distribution in the air gap of the machine. When the motor is supplied by a frequency inverter in order to control the speed, time harmonics in both current and voltage are present, yielding new components in the audible noise spectrum. In the paper, a number of motor‐inverter combinations are compared for medium‐sized induction motors (90 kW). As a reference case, the motors are supplied with a generator, delivering a variable frequency without harmonics. Theoretical explanations for the increase of the audible noise level and the additional frequency components are given. Copyright © 1995 John Wiley & Sons, Ltd.

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