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IEEE Annual International computer software and Applications Conference (COMPSAC)

作者： Soo-Hyun Park Sang-Hoon Park Doo-Kwon Baik LG R&D Complex LG Information and Communications Limited South Korea Software System LaboratoryDepartment of Computer Science Engineering Korea University South Korea

As the agents in a TMN system are constructed based on different platforms, there are some problems in the development, maintenance and administration of classes in distributed objects (DO). To solve these problems, the paper suggests the Farming methodology which originated from the network computing concept. With the methodology, redundant software and data components in the distributed objects are moved to a platform independent class repository (PICR) in the form of componentware. When the PICR is constructed, several aspects of TMN are considered. After setting up the framework of DO, some small componentwares are loaded dynamically to DO, while others are loaded statically. DOs can self-adapt componentware for the evolution of a network environment while the TMN system is running.

关键词： Hardware Chromium computer networks Telecommunication network management Intelligent networks Operating systems software maintenance Research and development software systems computer science

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Empirical testing: The prototyper's evaluation mechanism

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NAVAL ENGINEERS JOURNAL 1997年第1期109卷 41-46页

作者： Hafner, AN Arnold N. Hafner Ph.D.:is founder and president of Information Systems Research (ISR). He has twenty-five years of experience in systems development and is published in the field of systems development management. He served as corporate research scientist at Systems Exploration Inc. from 1988 to 1991 program director at Computer Science Corporation from 1983 to 1988 director of operations at Republic Management Systems Corporation from 1981 to 1983 and program manager at Computer Science Corporation from 1972 to 1981. A 1962 graduate of the US. Naval Academy he holds a doctoral degree in human behavior and engineering degrees in electronics and communications. He has taught courses on information systems and systems management at most of the colleges in the San Diego area. Dr. Hafner has presented fourteen refereed research papers while publishing sixteen articles and a book A Manager's Guide to Software System Development.

Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterative stream of developer-user interactions that is replacing older approaches to testing and evaluating new military systems, which promise to reduce the time required to develop and field future military capabilities. Changes to the acquisition process, such as those the paper sketches, will facilitate the nation's rapid transit through its current revolution in military affairs.

关键词： systems analysis

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NAVAL SURFACE COMBATANT SHIP DESIGNERS AID

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 70-77页

作者： ANDERT, EP The Author:has over 14 years' experience in computer systems development and analysis including naval applications intelligent systems parallel processing signal processing and real-time systems. As vice president of Conceptual Software Systems Inc. he leads software development activities. He is the principal investigator on the development of an automated ship designer's aid automated naval ship producibility tools parallel processing software tools computer-aided software engineering tools and neural networks for sensor data processing. Previously Mr. Andert worked on a data analysis expert system for naval missile tracking the FAA air-traffic control system satellite sensor data processing and the SQS-53 sonar beam-former. Mr. Andert received a B.A. degree and an M.S. in computer science from California State University Fullerton. He has published more than 15 articles on computing in various technical journals books and proceedings.

The naval surface combatant ship design process can be greatly enhanced by a computerized, knowledge-based designer's aid. Naval surface ship design is a technological challenge to maximize ordnance on target which requires the use of rapidly advancing techniques and systems for surveillance, detection, communication, information processing, ordnance deliverv, and propulsion, among others. This paper discusses the first step in the development of a computerized, knowledge-based (expert svstem) tool to assist ship designers in selecting requirements and incorporating the most appropriate combat svstems and certain hull, machinery and electrical system (HM&E) equipment. This Naval Surface Combatant Ship Designer's Aid (NAVSURF) svstem allows the designer to select the type of ship to be developed and required ship characteristics such as speed. It then suggests a set of requirements for the ship along with a set of combat and HM&E equipment based on the selected requirements. The NAVSURF svstem is an interactive environment that suggests requirements and equipment while allowing the user to select alternatives, ask for reports of selected items, upgrade the databases of available requirements, and upgrade the knowledge-base that makes suggestions.

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STATISTICAL PROCESS-CONTROL FOR software IN THE MAINTENANCE PHASE

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 192-200页

作者： LUKE, SR JACOBS, DA REED, BM Stephen R. Luke:is a registered professional engineer in the Commonwealth of Virginia. He received his B.S. in mechanical engineering from Virginia Polytechnic Institute in 1983 and is presently pursuing a master's degree in engineering management at Old Dominion University. Mr. Luke is experienced as a test engineer at the Norfolk Naval Shipyard (1978–1989) and as a reliability/quality engineer at the Naval Undersea Warfare Center Detachment Norfolk (1989-Present). Currently he is the group leader of the RMA/QA group for the AN/SQQ-89(V) Antisubmarine Warfare System at Naval Undersea Warfare Center Detachment Norfolk. Mr. Luke is a member of ASNE IEEE (Reliability Society) and ASQC and is an ASQC certified quality engineer and reliability engineer. Derya Alasya Jacobs:is an assistant professor in the Engineering Management Department at Old Dominion University (ODU). She has a B.S. in computer science and an M.S. and Ph.D in engineering management from the University of Missouri-Rolla. Prior to joining ODU Dr. Jacobs worked as a research engineer at the Center for Technology Transfer and Economic Development at the University of Missouri-Rolla. During the same period she served as a consultant in software development for Missouri Enterprise Rolla Missouri. Dr. Jacobs' research interests are in the areas of applied artificial intelligence decision support systems operations research and computer integrated manufacturing. Billie M. Reed:is an assistant professor in the Engineering Management Department at Old Dominion University. He received a B.S. degree in mechanical engineering from Auburn University in 1971. After completing undergraduate studies Dr. Reed was commissioned as an officer in the U.S. Navy where he served in the nuclear submarine force until 1982. Following his military career Dr. Reed worked for nine years as a systems engineer and human-machine interface designer of complex interactive computer based systems for use in aircraft space and ship systems. He received his M.S. and Ph

As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing software engineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.

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UTILIZING RESERVE ASSETS - MUTUAL SUPPORT AT SUPSHIP BATH

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NAVAL ENGINEERS JOURNAL 1993年第6期105卷 39-42页

作者： GOLDA, EM PORPORA, GA Cdr. Eugene Michael Golda:is a Naval Reserve engineering duty officer and is commanding officer of NR NavSea PMS Det 302. He has developed and directed mutual support programs assisting the Supervisor of Shipbuilding Brooklyn and has participated in the training and mutual support programs at the Supervisor of Shipbuilding Bath. He received a Ph.D. and M.S. in materials science and engineering from Stevens Institute of Technology Hoboken N.J. A 1977 graduate of the United States Naval Academy Cdr. Golda has been a member of ASNE since 1974. Cdr. Golda is a materials engineer at the Annapolis Detachment Carderock Division Naval Surface Warfare Center working on naval applications of superconducting technology. LCdr. Gregory A. Porpora:is an IBM market support representative who provides technical consulting support in application development with computer aided software engineering (CASE) tools. Prior to joining IBM he was a senior design engineer for a defense contractor involved in design and development of radar and ASW systems including the AN/BSY-1 combat system trainer. LCdr. Porpora is a member of IEEE the Naval Institute and the Naval Reserve Association. He holds a BSEE and MSEE from the Polytechnic Institute of Technology New York. LCdr. Porpora is currently assigned to NR SupShip Det 502 which provides extensive mutual support for the Supervisor of Shipbuilding Bath and the resident office in Brooklyn New York.

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Integration of different system engineering methods using an object-oriented model

Integration of different system engineering methods using an...

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1992 Conference on Object-Oriented Programming systems, Languages, and Applications, OOPSLA 1992

作者： Clausen, Horst D. Hofmann, Anton Pawlitzek, Gabriele H. University of Salzburg Department of Computer Science and System Analysis Jakob-Haringer-Strasse 5 SalzburgA-5020 Austria German Aerospace Research Establishment Software Engineering Laboratory Munnchnerstrasse 20 OberpfaffenhofenD-8031 Germany

ISBN: (纸本)0897916107

The development of large, complex systems consisting of both hardware and software normally involves several companies and/or development teams for the development of the different subsystems forming the entire system. Depending on the kind of subsystem to be developed, these different development teams normally use different system engineering methodologies and/or tool sets to produce their subsystems. However, the usage of different methodologies and tools makes technical management and quality assurance for the entire development effort a difficult task. Therefore the development as well as the maintenance of future systems with their increasing size and complexity requires a common frame for the entire system development and maintenance effort covering different kinds of subsystems, like graphical user interfaces, database systems, expert systems, real-time systems, and so on. This common frame should support the separate and independent development of the different subsystems by different subcontractors using different system engineering methods, the integration of these subsystems to the entire system as well as the maintenance of the entire system. A hierarchical object-oriented model for the encapsulation and integration of different system engineering methods can serve as this common frame, providing traceability from the system requirements model to the implemented system while giving each subsystem development team full scope in choosing the system engineering method most suitable for a specific subsystem. The approach underlying this object-oriented model is the encapsulation of the different subsystems in "high-level objects," which can be either further decomposed into "high-level object" or described in more detail using any appropriate system engineering method. The integration of these "high-level objects" to the entire system is supported by a "definition object" on each layer of each system engineering model. The "definition objects" provide trace

关键词： Maintenance

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military engineering

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THE COMMAND SUPPORT AT-SEA EXPERIMENT

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NAVAL ENGINEERS JOURNAL 1990年第3期102卷 25-36页

作者： BUSCHER, DJ SUNDAY, DM David J. Buscher:is an electrical engineer on the Principal Professional Staff of the Fleet Systems Department of The Johns Hopkins University Applied Physics Laboratory. He earned his BS degree in electrical engineering from Villanova University in 1967 an MSEE degree from the University of Maryland in 1972 and an MS degree in technical management from The Johns Hopkins University in 1985. He was the lead engineer on the Command Support At-Sea Experiment Project. He started his career in 1967 with the U.S. Army Harry Diamond Laboratory working on computer and communications projects. During this time he worked in Vietnam with the United States Army Vietnam Science Advisor Office. Since joining JHU/APL in 1978 he has worked on a variety of projects associated with computer graphics hospital patient information systems computer networks autonomous underwater vehicles and satellite communications. He is currently assistant group supervisor of the Computer Systems Group. Daniel M. Sunday:is a mathematician on the Principal Professional Staff of the Fleet Systems Department of The Johns Hopkins University Applied Physics Laboratory. He earned his Ph.D. in mathematics from the University of Minnesota in 1971 and did postdoctoral research on neural networks at the University of California at Berkeley. Since joining JHU/APL in 1980 Dr. Sunday has worked as a designer and developer of software systems with emphasis on medical imaging interactive graphics natural language interfaces and software standards. He was the network designer for the Headquarters Integrated Office System (HIOS) Network for the Army at the Pentagon. He is currently the lead software engineer on the Command Support At-Sea Experiment Project.

The Command Support At-Sea Experiment (CS@SE) provides experimental advanced graphics display systems consisting of large screen color displays and operator console color displays in the combat information center (CIC) of an Aegis cruiser and in the tactical flag command center (TFCC) of an aircraft carrier. CS@SE systems are designed to prototype potential command support capabilities in an at-sea environment to validate and refine requirements for planned production system upgrades. These systems use sophisticated color graphics techniques to provide real-time tactical displays that improve the availability of information to an operator by reducing clutter through the use of color, area fill, transparen overlays and intensity coding of track symbols. Interfaces wen developed with the Aegis Display system (ADS), Shipboarc Gridlock system with Auto-correlation (SGS/AC), Flag Dats Display system (FDDS) and Tomahawk Engagement Planning and Exercise Evaluation system (TEPEE) that provided the data for the presentation of a tactical display. Display elements included both real-time and over-the-horizon (OTH) surface track data, velocity leaders, tags, uncertainty ellipses, and history trails. The display also included filled land masses, country boundaries, commercial airways, cities, graphics overlays (i.e., operational areas), weapon system missile performance contours, and engagement plans. This paper describes the experiment, its installation and integration into the shipboard environments of an Aegis cruiser (USS Leyte Gulf ) and an aircraft carrier (USS America , its usage by the ships companies and embarked staffs, and the experiment result! and findings. Key conclusions of the experiment are: 1 Advanced graphics color displays can significantly enhance the ability of the warfighter to assimilate a complex tactical display. 2 Both ships reported a requirement for a correlated OTH and real-time track display with the ability to clearly differentiate the two types

关键词： computer Graphics

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CLEER - AN AI-system DEVELOPED TO ASSIST EQUIPMENT ARRANGEMENTS ON WARSHIPS

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 127-137页

作者： ZHOU, HH SILVERMAN, BG SIMKOL, J Dr. H. Harry Zhou:is a research professor at the Institute for Artificial Intelligence of The George Washington University. Dr. Zhou received his master's degree and Ph.D. in computer science from Vanderbilt University in 1984 and 1987 respectively. He did his dissertation in the fields of artificial intelligence analogical reasoning and machine learning. His research interests include: classifier systems genetic algorithms learning by analogy inductive learning adaptive expert systems automated knowledge acquisition and adaption. He is also interested in data base design programming languages mental modeling and software engineering. Dr. Barry G. Silverman:is director of the Institute for Artificial Intelligence and a professor at the Engineering Administration Department of The George Washington University. He is also president of IntelliTek Inc. an AI consulting firm. Dr. Silverman received the B.S.E. M.S.E. and Ph.D. degrees from the University of Pennsylvania. He has been a principal developer of four generic AI products as well as eight AI applications. Since 1979 he has written over 100 papers and reports on these AI efforts. Joel Simkol:is a research scientist currently engaged in designing expert system architectures to support electronic warfare vulnerability analyses threat assessments shipboard topside antenna arrangements and C3countermeasures employment. Mr. Simkol's work in applying expert systems technology to electromagnetic interference and to spectrum management has generated increased interest and participation from all branches of government agencies.

This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.

关键词： Artificial Intelligence

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Report: Automating Manual Storeroom Zones in a Factory

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AT&T Technical Journal 1988年第2期67卷 87-94页

作者： Pulat, B. Mustafa Hewett, Alan P. W. B. Mustafa Pulat:is a senior engineer in the Material Handling Engineering Department of AT&T Network Systems at the AT&T Oklahoma City Works in Oklahoma City Oklahoma. Mr. Pulat joined AT&T in 1985 and is involved in system development modeling and just-in-time deliveries. He has a B.Sc. and M.Sc. in industrial engineering from the Middle East Technical University in Ankara Turkey and a Ph.D. in industrial engineering from North Carolina State University.Alan P. W. Hewettis a member of technical staff in the Manufacturing Engineering Systems Development Department of AT&T Bell Laboratories in Columbus Ohio. He joined the company in 1978 and designs and develops software for the Material Operations Velocity System (MOVES) a system that automates material handling in AT&T factories. He has a B.A. in chemistry from Kalamazoo College a Ph.D. in chemistry from Yale University and has done postdoctoral work in both chemistry and computer science at Harvard University.

Moving, storing, and controlling material efficiently is one of the most challenging problems of manufacturing. In the last twenty years, several different technologies were developed for this purpose, including the automated storage and retrieval system (AS/RS), which featured advancements in real‐time control of machines by computers. Today's AS/RS makes total material‐handling system integration a reality. This paper describes the experience of the AT&T Oklahoma City Works with such a system. © 1988 AT&T Technical Journal

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