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CENTML control SYSTEM TRAINING THROUGH STA TIC AND DYNAMIC SIMULATION

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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C-3 systems LAND-BASED TESTING

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NAVAL ENGINEERS JOURNAL 1980年第6期92卷 35-42页

作者： CAMPBELL, JS THE AUTHOR was born in Porterville. Calif. in 1928 and joined the U.S. Nary in 1945 in the “Aviation Midshipman” Program. He received his designation as a Naval Aviator in 1950 and flew combat missions in Korea while still a Midshipman followed by participation in various operational and training squadrons until 1958 when he completed the Naval Test Pilot School Program. After a tour as an Engineering Test Pilot. he attended the Naval Postgraduate School Monterey. Calif. and was then assigned to the Fleet Computer Programming Center as a part of the NTDS development. Later he had operational tours as CIC Officer in the USS Enterprise and as AAW Officer on the Staff of Commander Task Force SEVENTY-SEVEN in Vietnam. During an interceding tour of duty he was the Program Manager for the TACDEW Training Facilities at San Diego Calif: and Dam Neck Va. After completing his active duty in the U.S. Navy Mr. Campbell joined Logicon Inc. and during the six years with the Tactical and Training Systems Division held various positions including Project Manager Department Head Assistant Director and Division Director prior to leaving in 1976 to join the Assistant Secretary of the Nary for R&D as Special Assistant for Weapons Systems Integration. In 1978 he joined the Staff at the Naval Ocean Systems Center as Associate Director for Command Control and Communications and Acting Head of the C3I Systems Department where he is charged with the development and operation of the C3Systems Integration Test and Evaluation Laboratory.

The increasingly important role of land-based test sites (LBTSs) in military command, control, and communications (C 3 ) is discussed, with particular reference to system integration, R&D, and testing. The LBTS at the Naval Ocean systems Center (NOSC), San Diego, is described in detail, and lessons learned from the operation of the and other LBTSe are considered in terms of both their tactical and strategic implications.

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Time-Component Complexity of Two Approaches to Multioperand Binary Addition

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IEEE Transactions on computers 1979年第12期C-28卷 918-926页

作者： Atkins, Daniel E. Ong, Shau-Chi Program in Computer Information and Control Engineering the Systems Engineering Laboratory of the Department of Electrical and Computer Engineering University of Michigan Ann Arbor MI 48109 United States

Component and time complexity measures in terms of number of gates and gate delays, respectively, are derived for two multioperand adder structures: a tree of carry-save adders and a tree of carry-lookahead adders. The parameters of the complexity measures are operand length, number of operands, and maximum fanin to the gates. The analysis involves a constructive derivation of the complexity of carry-lookahead networks including optimization by removal of redundant paths. An alternate measure of component complexity, number of packages with a given number of pinouts, rather than number of gates, is also presented. The general conclusion of the paper is that, under the assumptions made, for a large set of design parameters, the carry-save adder structure requires both less time and fewer components than the functionally equivalent carry-lookahead adder structure. Copyright © 1979 by The Institute of Electrical and Electronics Engineers, Inc.

关键词： binary addition carry-lookahead adder carry-save adder Index Terms-Adder tree multioperand addition time-component complexity

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THE SHINPADS SERIAL DATA BUS

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Naval Engineers Journal 1979年第2期91卷 164-172页

作者： KUHNS, RICHARD C. The Author received his BS degree in Electrical Engineering from the South Dakota State University in June 1960. He joined SPERRY UNIVAC Defense Systems Division in June 1960 where he is now Manager of the Surface Combat Systems Group in the Navy Systems Engineering Department. He is currently active in the development of Navy Command and Control Systems. He has been active in the field of Navy systems computer digital communications analysis and design and was responsible for the system design of the NTDS Serial Interface specified in Military Standard MIL-STD-1397.

The Shipboard Integrated Processing And Display System (SHINPADS) Serial Data Bus is a high speed digital interconnect system designed to provide a real time data bus communication facility for Naval Electronic systems. The Serial Data Bus (SDB) can be used to interconnect devices currently using Military Standard MIL‐STD‐1397 Input/Output Interfaces and it has been designed to suit the needs of Naval Combat systems. The SHINPADS Serial Data Bus was specified with an eye to the future. A large growth margin was designed into the system, while minimizing costs, by properly distributing functions between software, firmware, and hardware. The Serial Data Bus protocol enables future evolution to Fiber Optic Transmission without impacting system software. The Serial Data Bus provides the potential for accomplishing many of the features attributed to Distributed Processing systems. However, the accomplishment of Distributed Processing improvements can only occur through proper and enlightened system design. © 1979 American Society of Naval Engineers

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8th International Symposium on Multiple-Valued Logic, MVL 1978

作者： Atkins, D.E. Program in Computer Information and Control Engineering Systems Engineering Laboratory Department of Electrical and Computer Engineering University of Michigan Ann ArborMI48109 United States

An approach to the topic of computer arithmetic is suggested which may have a particular conceptual, pedagodical, and practical appeal to the designer of multiple-valued logic processors. computer arithmetic deals with the physical representation of finite sets of numbers and the design, analysis, and implementation of algorithms for mechanizing arithmetic operations on these sets. Finite number representation systems (FNRS) are specified by defining a set of symbols and a mapping from the elements of this symbol set to a subset of the real numbers. A formal definition of a FNRS provides a basis for a set of definitions which in turn provide the framework for the classification of a large set of number systems. Emphasis in this paper is on the following positive, fixed radix systems: unsigned, sign and magnitude, radix complement, and diminished radix complement. We offer an annotated listing of primitive digit vector algorithms for the four common number representation systems with an arbitrary, positive integer, fixed radix. These digit vector algorithms are ones which the designer of multi-valued logic arithmetic processors will need to implement to provide general arithmetic computation. © 1978 Advanced Automotive Batteries. All rights reserved.

关键词： Numbering systems

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A comparison of two approaches to multi-operand binary addition

A comparison of two approaches to multi-operand binary addit...

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computer Arithmetic (ARITH)

作者： D. E. Atkins S. C. Ong Program in Computer Information and Control Engineering and Systems Engineering Laboratory Department of Electrical and Computer Engineering University of Michigan Ann Arbor USA University of Michigan Ann Arbor MI US

This paper presents the results of one phase of a study concerning methods for addition of P>;2 numbers, each encoded as a vector of digits (digit vector) of length N. Such multi-operand addition has been studied most often in the context of reducing a set of partial products to a single result in the implementation of multiplication. More generalized multi-operand addition, most notably in the form of inner product calculations is, however, central to numerous scientific applications of digital computers. Although multi-operand addition is trivially accomplished by accumulation (iteration in time) in any general purpose machine, demands for very high-speed computation, typified by 2- and 3-D signal processing prompt implementation of dedicated, hardware-intensive structures for multi-operand addition. This study, for example, is motivated in part by requirements for rapid simultaneous addition of up to 100, 16-bit operands in the design of a dedicated processor for real-time reconstruction of 3-D images of the beating heart and breathing lungs [1].

关键词： Adders Logic gates Vectors Delay Equations computers Hardware

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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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Associative and Parallel Processors

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ACM Computing Surveys 1975年第4期7卷 215–255页

作者： Kenneth J. Thurber Leon D. Wald Product Development Group Sperry Univac Defense Systems St. Paul Minnesota and Computer Information and Control Sciences Department Universtty of Minnesota Minneapolis Minnesota Test Equipment Engineering Government and Aeronautical Products Division Honeywell Inc. Minneapolis Minnesota

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Regulator Problems with a Cost for Applying or Changing control

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IFAC Proceedings Volumes 1974年第1期7卷 477-480页

作者： Ibrahim Awad Ian B. Rhodes Department of Computer Science and Automatic Control Alexandria University Alexandria Egypt Control Systems Science and Engineering Washington University St. Louis Missouri 63130

An examination is made of linear regulator problems with an additional cost for applying a nonzero control at each instant. The dual of this problem is the least-squares filtering problem with a cost for taking measurements. Because a solution to the general problem involves solving a two point boundary value problem in nonlinear matrix differential or defference equations, two easily-computed suboptimal control schemes and some useful bounds are proposed. A class of problems is also delineated for which the optimum solution has some special properties which enable it to be computed simply and directly.

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Integrated Manufacturing System of Electrical Machinery

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IEEE Transactions on Manufacturing Technology 1974年第2期3卷 64-68页

作者： K. Yamanaka T. Shizuma S. Miyamoto M. Shinomoto 2nd Computer Control Systems Engineering Department Omika Works Omika Works Hitachi Limited Ibaraki Japan Development Department Narashino Works Hitachi Limited Chiba Japan Systems Development Laboratory Hitachi Limited Tokyo Japan

It has become clear that the automation or labor saving of discrete manufacturing should be considered as the total integrated system. The concept of an integrated manufacturing system (IMS) is proposed. Cooperation among each equipment is the key to integrating the production system as the whole. System control Software plays an essential role in cooperation ired has two main functions, namely, branch and cooperation control, and schedule advance control. Compact IMS application to an induction motor-shaft machining shop has successfully been done to realize the usefulness of system control software.

关键词： Integrated manufacturing systems Machinery control systems Manufacturing automation Software systems Production systems Automatic control Job shop scheduling Application software Machining

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