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A COMPUTER INTEGRATED engineering SYSTEM FOR DESIGN AND LIFE-CYCLE MANAGEMENT

NAVAL ENGINEERS JOURNAL 1986年第3期98卷 115-121页

作者： NICKODEMUS, GH YANUS, ID Irwin D. Yanusgraduated from the University of Pennsylvania with a bachelor's degree in arts and science in 1960 and a bachelor of science degree in mechanical engineering in 1961. In 1963 he received a master of science degree in mechanical engineering from Carnegie-Mellon University. Mr. Yanus is presently the manager of naval systems engineering in the Computer Aided Engineering Department of the Plant Engineering Division of Westinghouse Electric Corporation. His prior experience includes 19 years at the Bettis Atomic Power Laboratory where he performed assignments of increasing responsibility in design analysis development and procurement of nuclear reactor components for naval applications. As the manager of reactor mechanical design he was responsible for the mechanical design of theNimitzclass reactor components and control drive mechanism technology development. Mr. Yanus is a member of the American Society of Mechanical Engineers and the Society of Naval Architects and Marine Engineers. Glen H. Nickodemusgraduated from Michigan State University in 1964 with a bachelor of science degree in civil engineering. He joined the Pittsburgh-Des Moines Corporation in July of the same year. A master of science degree in civil engineering was obtained from Carnegie-Mellon University in 1973. In 1969 Mr. Nickodemus joined the Advanced Reactors Division of the Westinghouse Electric Corporation where he performed design and structural analysis functions for the development of the Fast Flux Test Facility and Clinch River Breeder Reactor Plant (CRBRP). As manager of CRBRP reactor engineering stress analysis he was responsible for the reactor vessel internals closure head control rod drivelines and miscellaneous guard vessels and head access area components. He is currently the manager of software development for the Computer Aided Engineering Department of the Plant Engineering Division. Mr. Nickodemus is a member of the American Society of Mechanical Engineers and is a registered professional engineer in Penn

This paper describes a computer integrated engineering system for design and life cycle management of weapons systems, ships and other multidisciplined systems. All engineering data are stored in a central engineering database. Individual application databases define and process information necessary for specific discipline evaluations. Interface modules between the application databases and the engineering database ensure that the entered data are complete, consistent, compatible, and in compliance with requirements. Conflicts are immediately identified and efficiently resolved. Implementation of the system improves design quality and reduces costs by minimizing the number of design iterations, reducing the effort to implement changes, providing effective storage and retrieval, and reducing the need for ship checks prior to modifications and alterations.

关键词： MILITARY engineering

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AN advanced METHODOLOGY FOR PRELIMINARY HULL FORM DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1984年第4期96卷 147-161页

作者： LIN, WC DAY, WG HOUGH, JJ KEANE, RG WALDEN, DA KOH, IY Wen-Chin Lin:heads the Ship Powering Division at the David Taylor Naval Ship R&D Center (DTNSRDC). Dr. Lin received his B.S. degree in mechanical engineering from the National Taiwan University in 1957. He was awarded his M.S. degree in naval architecture and Ph.D. in engineering science from the University of California at Berkeley in 1963 and 1966 respectively. From 1966 to 1969 he was employed by ESSO Research and Engineering Company to conduct marine hydrodynamic research for oil tankers and offshore structures. Since joining DTNSRDC in 1969 he has actively conducted and directed hydrodynamic research to advance naval ship design technology and improve ship performance. Active in national and international symposia on ship hydrodynamic research he is recognized for contributions to the ship research community. For the past six years he has been a member of the Performance Committee of the ITTC and currently serves as secretary of the committee. He is a member of SNAME and the Society of Naval Architects of Japan. William G. Day Jr:. has been employed as a naval architect at the David Taylor Naval Ship R&D Center since receiving a B.E.S. degree from the Johns Hopkins University in 1966. He obtained an M.S. E. degree from George Washington University in 1971. As Head Design Evaluation Branch of the Ship Performance Department he is responsible for model experiments to evaluate the hydrodynamic performance of ships and propulsors. He is a member of ASNE and SNAME. In-Young Koh:received his B.S. and M.S. degrees in electrical engineering from Lowell University in 1969 and 1971 respectively and his Ph.D. in applied mechanics from Rensselaer Polytechnic Institute in 1976. Dr. Koh joined DTNSRDC as an electronic engineer specializing in the application of advanced instrumentation and computer techniques to ship research and design. He is currently engaged in research and development of active control systems for naval ship applications. Dr. Koh is a member of ASNE SNAME and IEEE. David Andrew Walden:is

A ship design methodology is presented for developing hull forms that attain improved performance in both seakeeping and resistance. Contrary to traditional practice, the methodology starts with developing a seakeeping-optimized hull form without making concessions to other performance considerations, such as resistance. The seakeeping-optimized hull is then modified to improve other performance characteristics without degrading the seakeeping. Presented is a point-design example produced by this methodology. Merits of the methodology and the point design are assessed on the basis of theoretical calculations and model experiments. This methodology is an integral part of the Hull Form Design System (HFDS) being developed for computer-supported naval ship design. The modularized character of HFDS and its application to hull form development are discussed.

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MACHINERY ARRANGEMENT DESIGN - A PERSPECTIVE

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NAVAL ENGINEERS JOURNAL 1981年第3期93卷 133-141页

作者： RESNER, ME KLOMPARENS, SH LYNCH, JP Mr. Michael E. Resner:received an Engineering Degree from Texas A&M University in 1966 and has done graduate work in management at American University. He is Director Machinery Arrangements/Control Systems and Industrial Facilities Division (SEA 525) at the Naval Sea Systems Command. His previous positions have included Program Manager Solar Total Energy Program at the Department of Energy and Branch Chief Machinery Control Systems Branch at the Naval Ship Engineering Center. Mr. Stephen H. Klomparens:is a Naval Architect at Designers & Planners Inc. and is engaged in development of computer aids for ship design. He received his B.S.E. degree in Naval Architecture and Marine Engineering from the University of Michigan in 1973 and his M.S. degree in Computer Science from the Johns Hopkins University. Mr. Kolmparens began his professional career at Hydronautics Inc. in 1974 where he was involved in the use of marine laboratory facilities for test and development of conventional and advanced marine craft. Since 1977 he has been involved with naval and commercial ship design and with development of computer-aided ship design tools. Mr. John P. Lynch:is a Principal Marine Engineer with Hydronautics Inc. He was previously employed in the auxiliary machinery and computer-aided design divisions of the David W. Taylor Naval Ship R&D Center the machinery design division of the New York Naval Shipyard and the machinery arrangement code of the Bureau of Ships. His active naval service was as a ship superintendent in the production department of the Long Beach Naval Shipyard. Mr. Lynch received his B. S. degree in Marine Engineering from the New York State Maritime College and his M.S. degree in Mechanical Engineering from Columbia University. He is a licensed Professional Engineer in the State of New York and a member of ASNE.

The machinery arrangement design process has remained relatively unchanged over the years. Recently, external demands have been placed on both the product and the producers that call for changes to this process. This paper cites these external demands and traces the evolution of the process changes from the rule-of-thumb machinery box sizing routines up to the current automated procedures. The machinery arrangement design practice is presented, and existing analytic and graphics aids are discussed. The user requirements for improved design aids are presented, with implementation guidelines and hardware/software alternatives.

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CENTML control SYSTEM TRAINING THROUGH STA TIC AND DYNAMIC SIMULATION

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Naval Engineers Journal 1980年第2期92卷 196-206页

作者： HALL, EDWIN E. MOSS, DONALD G. NORRIS, CLIFFORD S. PETERSON, HAROLD D. Mr. Edwin E. Hall received his Bachelor's degree in Electronics from Oklahoma City University. He also is a certified College-Level Instructor in the state of Florida and has done graduate work in Computer Science at the University of Florida. As the Technical Publications and Training Manager Simulation and Control Systems Department. General Electric Company Daytona Beach Fla. he currently is responsible for the costing. planning performance scheduling and timely completion of the Department's Technical Manuals and Technical Training Programs. These Training and Manual contracts cover Ship Systems Programs. Simulation Programs. and Communications Programs for the Armed Services and commercial customers. Mr. Hall has over twenty-years experience as a Technical Writer and Instructor and for the past seventeen years has been at the General Electric Company's Daytona Beach Facility. His experience ranges from teaching Basic Electronics and Radar Circuitry as a civilian instructor for the U.S. Army to writing Manuals Proposals Reports Specifications and Brochures for General Electric's product lines. Mr. Donald G. MOSS is a graduate of Kansas State University from which he received both his B.S. degree in Business Administration and his M.S. degree in Electrical Engineering. He is presently a Senior Systems Engineer for Control Systems in the Simulation and Control Systems Department at the General Electric Company's Daytona Beach Facility. He has been employed by General Electric for 23 years — the first seven as an Engineer and Program Manager on the Fire Control Systems for the Fleet Ballistics Missile Program the next six managing the design of control and checkout equipment on the APOLLO Program and the last ten years working on control equipment for the machinery plants of new Navy ships. Over the span of years at General Electric he has worked on propulsion control for the DD-963 propulsion electric plant and auxiliary control for the FFG-7: propulsion boiler burner electric auxiliary and car

Dynamic Simulation is defined as the hardware and software required to present to the student operator visual and audible cues and responses that are the same as those encountered when operating the control Consoles aborad ship. This type of simulation is considered essential to the development of operator skills for critical tasks. Less critical tasks can be practiced using static simulation devices. This paper discusses the utilization of these types of training devices to train Navy crews. An overview of the Machinery control systems of the FFG 7 and AO 177 Class ships is discussed to provide an understanding of state‐of‐the‐art equipment development. The training programs for these two ship Classes are then reviewed to show how simulation devices are currently used by the Training Community, and this is followed by a brief discussion of the additional benefits that also are derived. © 1980 by the American Society of Naval Engineers, Inc.

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Abstracts

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Environmental Management 1977年第1期1卷 67-96页

作者： Frankenfeld, John W. Schulz, Wolfgang McMurty, George J. Petersen, Gary W. May, G. A. Hering, F. S. Schwartz, J. I. Heywood, J. B. Chigier, N. A. Grohse, E. W. Walker, J. D. Colwell, R. R. Petrakis, L. Pergament, H. S. Thorpe, R. D. Schoepf, Richard W. Krzyczkowski, Roman Henneman, Suzanne S. Hudson, Charles L. Putnam, Evelyn S. Thiesen, Donna J. Parks, G. A. McCarty, Perry L. Leckie, J. O. Schrumpf, Barry J. Simonson, G. H. Paine, D. P. Lawrence, R. D. Pyott, W. T. Leh, M. Elders, W. Combs, J. Caplen, T. Harrison, F. L. Wong, K. M. Heft., R. E. Charnell, Robert L. Lehmann, Edward J. Mallon, Lawrence G. Hatfield, Cecile Adams, Gerald H. Johanning, James Talvitie, Antti Noll, Kenneth E. Miller, Terry Smiarowski, Joseph F. Willis, Cleve E. Foster, John H. Schlesinger, Benjamin Daetz, Douglas Lear, Donald U. Smith, Mona F. Hundemann, Audrey S. Crockett, Pernell W. Werner, Kirk G. Carroll, Thomas E. Maase, David L. Genco, Joseph E. Ifeadi, Christopher N. Lowman, F. G. Christensen, S. W. Van Winkle, W. Mattice, J. S. Harrison, Elizabeth A. Barker, James C. Chesness, Jerry L. Smith, Ralph E. Shaheeen, Donald G. Raney, R. Keith Borton, T. Wezernak, C. T. Raney, R. K. Sherwani, Jabbor K. Moreau, David H. Eisenberg, Norman A. Lynch, Cornelius J. Breeding, Roger J. Johnson, J. D. Foster, K. E. Mouat, D. A. Clark, R. Hyden, John William Owen, Wilfred Bayfield, Neil G. Barrow, Graham C. Stolz, Stephanie B. Wienckowski, Louis A. Brown, Betram S. Keyfitz, Nathan Wilson, W. L. Newman, Peter W. G. Bammi, Deepak Bammi, Dalip Goddard, James E. Chisholm, Tony Walsh, Cliff Brennan, Geoffrey Thompson, K. S. Richardson, R. Jensen, Clayton E. Brown, Dail W. Mirabito, John A. Cowing, Thomas G. Binghamton, Suny Siehl, George H. Albrecht, O. W. Alexander, Ariel Barde, Jean -Philippe Darby, William P. McMichael, Francis Clay Dunlap, Robert W. Muckleston, Keith W. Frankenhoff, Charles A. Giulini, Lorenzo T. Wyatt, T. Black, Peter E. Keating, William Thomas Leonard, M. E. Fisher, E. L. Brunelle, M. F. Dickinson, J. E. Pethig, Rudiger Clapham Exxon Research & Engineering Co. Linden Government Research Lab Coast Guard Washington D.C. Department of Transportation Washington D.C. Office For Remote Sensing of Earth Resources. NASA Earth Resources Survey Program Pennsylvania State University Washington D.C. Department of the Navy Washington D.C. Cambridge. Dept. of Mechanical Engineering Massachusetts Inst. of Technology USA Huntsville. School of Graduate Studies and Research Alabama Univ. USA Dept. of Microbiology. Office of Naval Research Maryland Univ. Arlington Research and Development Co. Pittsburgh AeroChem Research Labs. Inc. Princeton Dept. of the Interior Office of Library Services. Bibliographic Series (Final) Washington D.C. Interplan Corp. Santa Barbara Urban Mass Transportation Adm. Washington D.C. Naval Underwater Systems Center Newport Calif. Mercury Project. National Science Found Stanford Univ Washington D.C. Div. of Advanced Environmental Research & Tech. USA Corvallis. NASA Earth Resources Survey Program Oregon State Univ. Washington D.C. Riverside. Inst. of Geophysics and Planetary Physics National Science Foundation California Univ. Washington D.C. Livermore Lawrence Livermore Lab. California Univ. USA Atlantic Oceanographic and Meteorological Labs. National Oceanic and Atmospheric Administration Miami National Technical Information Service Springfield Miami Univ. Coral Gables School of Law National Oceanic and Atmospheric Administration Rockville National Academy of Sciences Office of Sea Grant Washington D. C. School of Law National Oceanic and Atmospheric Administration Office of Sea Grant. Rockville Norman. Dept. of Civil Engineering and Environmental Science. Urban Mass Transportation Administration Oklahoma Univ. Washington D. C. Knoxville.Dept. of Civil Engineering. Federal Highway Administration Tennessee Univ. Washington D. C. Amherst.Water Resources Research Center. Office of Water Research and Technology Massachusetts Univ. Washington D. C. Calif. Dept. of Industria

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Advances in Knowledge Discovery and Data Mining 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Joshua Zhexue Huang Longbing Cao Jaideep Srivastava

ISBN: (数字)9783642208416

ISBN: (纸本)9783642208409

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

关键词： Artificial Intelligence Information systems Applications (incl. Internet) Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity Computer Communication Networks

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Autonomous Flying Robots 1

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1000年

作者： Kenzo Nonami Farid Kendoul Satoshi Suzuki Wei Wang Daisuke Nakazawa

ISBN: (数字)9784431538561

ISBN: (纸本)9784431538554;9784431546870

The advance in robotics has boosted the application of autonomous vehicles to perform tedious and risky tasks or to be cost-effective substitutes for their - man counterparts. Based on their working environment, a rough classi cation of the autonomous vehicles would include unmanned aerial vehicles (UAVs), - manned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), and autonomous surface vehicles (ASVs). UAVs, UGVs, AUVs, and ASVs are called UVs (unmanned vehicles) nowadays. In recent decades, the development of - manned autonomous vehicles have been of great interest, and different kinds of autonomous vehicles have been studied and developed all over the world. In part- ular, UAVs have many applications in emergency situations; humans often cannot come close to a dangerous natural disaster such as an earthquake, a ood, an active volcano, or a nuclear disaster. Since the development of the rst UAVs, research efforts have been focused on military applications. Recently, however, demand has arisen for UAVs such as aero-robotsand ying robotsthat can be used in emergency situations and in industrial applications. Among the wide variety of UAVs that have been developed, small-scale HUAVs (helicopter-based UAVs) have the ability to take off and land vertically as well as the ability to cruise in ight, but their most importantcapability is hovering. Hoveringat a point enables us to make more eff- tive observations of a target. Furthermore, small-scale HUAVs offer the advantages of low cost and easy operation.

关键词： control, Robotics, Mechatronics Computer Hardware

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Recent Advances in Model Predictive control 1

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丛书名： Lecture Notes in control and Information sciences

1000年

作者： Timm Faulwasser Matthias A. Müller Karl Worthmann

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Computational science – ICCS 2006 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Vassil N. Alexandrov Geert Dick Albada Peter M. A. Sloot Jack Dongarra

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Industry Transformations for High Service Provisioning with Lower Energy and Material Demand: A Review of Models and Scenarios

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Environment and Resources 1000年第1期49卷 249-279页

作者： Dominik Wiedenhofer Jan Streeck Frauke Wiese Elena Verdolini Alessio Mastrucci Yiyi Ju Benigna Boza-Kiss Jihoon Min Jonathan Norman Hanspeter Wieland Nuno Bento María Fernanda Godoy León Leticia Magalar Andreas Mayer Simone Gingrich Ayami Hayashi Joni Jupesta Gamze Ünlü Leila Niamir Tao Cao Marianne Zanon-Zotin Barbara Plank Johan Vélez-Henao Eric Masanet Volker Krey Keigo Akimoto Arnulf Grubler Bas van Ruijven Stefan Pauliuk 1Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Austria email: Dominik.Wiedenhofer@boku.ac.at 2Department for Sustainable Energy Transition Europa-Universität Flensburg Flensburg Germany 3Law Department University of Brescia Brescia Italy 4Euro-Mediterranean Center on Climate Change (CMCC Foundation) Lecce Italy 5RFF-CMCC European Institute on Economics and the Environment Milan Italy 6International Institute for Applied Systems Analysis Laxenburg Austria 7Waseda Institute for Advanced Study Tokyo Japan 8Institute for Future Initiatives University of Tokyo Tokyo Japan 9School of Earth and Environment University of Leeds Leeds United Kingdom 10University Institute of Lisbon (ISCTE) Lisbon Portugal 11Faculty of Bioscience Engineering Ghent University Ghent Belgium 12Centre for Energy and Environmental Economics (Cenergia) Energy Planning Program (PPE) COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil 13Department of Geography University of Innsbruck Innsbruck Austria 14Research Institute of Innovative Technology for the Earth Kizugawa Japan 15Institute for the Advanced Study of Sustainability United Nations University Shibuya Japan 16Copernicus Institute of Sustainable Development Utrecht University Utrecht Netherlands 17Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany 18Bren School of Environmental Science and Management University of California Santa Barbara California USA 19Department of Energy and Process Engineering Norwegian University of Science and Technology Trondheim Norway

Developing transformative pathways for industry's compliance with international climate targets requires model-based insights into how supply- and demand-side measures affect industry, material cycles, global supply chains, socioeconomic activities, and service provisioning that support societal well-being. We review the recent literature modeling the industrial system in low energy and material demand futures, which mitigates environmental impacts without relying on risky future negative emissions and technological fixes. We identify 77 innovative studies drawing on nine distinct industry modeling traditions. We critically assess system definitions and scopes, biophysical and thermodynamic consistency, granularity and heterogeneity, and operationalization of demand and service provisioning. We find that combined supply- and demand-side measures could reduce current economy-wide material use by 56%, energy use by 40% to 60%, and greenhouse gas emissions by 70% to net zero. We call for strengthened interdisciplinary collaborations between industry modeling traditions and demand-side research to produce more insightful scenarios, and we discuss challenges and recommendations for this emerging field.

关键词： climate change mitigation sustainable resource use integrated assessment modeling IAM ecological economics industrial ecology

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