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THE AUTOMATIC DATA LINK PLOTTING SYSTEM (ADLIPS)

Naval Engineers Journal 1979年第2期91卷 185-191页

作者： CARRUTHERS, JAMES F. CANADIAN FORCES Cdr. James F. Carruthers is a native of Drumheller Alberta Canada. He joined the Royal Canadian Navy in 1961 and attended the Royal Roads Military College from 1961 to 1963 receiving his BE degree in Electrical Engineering. Following Pre-Fleet Training he was assigned to HMCS Gatineau for watchkeeping and engineering training. Work on the prototype AN/SQS-505 Sonar. ASROC Missile System and the prototype ASW Data System (ASWDS) followed including shipboard installation and evaluation of the system in HMCS Terra Nova during which time he was the “guinea pig” Combat Systems Engineer. Later during the construction phase of the Canadian Navy's Combined Support Center he acted as Principal Engineer subsequently returning to graduate studies at the Nova Scotia Technical College in 1971 from which he received his Ph.D. in Electrical Engineering designing and building a computer intended for ship machinery health monitoring in the process. Posted to Headquarters in 1974 he served as Project Officer for a mini command and control system known as ADLIPS his additional interests being that of originating plasma and digital television developments. It was during this period that the SHINPADS concept was first put forward and following a year at the Canadian Forces Command and Staff College he was promoted to his present rank in 1977 and posted as Head of the Naval Command and Control Design Authority (DCMS 7). Cdr. Carruthers is a registered Professional Engineer (Ontario) and as an author has had several technical papers published on digital design machinery health monitoring and the SHINPADS concept. At the present time he is Assistant Director Maritime Combat Systems at the National Defense Headquarters in Ottawa where his current responsibilities include all aspects of C2systems. A member of ASNE since February 1978 he is also a member of IEEE U.S. Naval Institute and the IEEE Computer Society.

The Automatic Date Link Plotting System (ADLIPS) about to enter production in Canada might be described as a “poor man's NTDS.” It has been designed to operate actively on both Link 11 and Link 14, integrate current ship sensors, control weapon designation, and to provide synthetic and raw radar pictures to the command. Displays include three‐man, 22‐inch, horizontally mounted CRTs, remote plasmas for applications such as the Bridge and EW Office, and a hard copy plotter. One of the design objectives of ADLIPS was to avoid inventing anything. The displays, computer, bulk storage, et cetera, were all chosen from “off‐the‐shelf” equipments. The production version will incorporate standard USN equipments in the form of the AN/UYK‐20 minicomputer and AN/USH‐26 cartridge magnetic tape. The only “new” elements are some unique interface cards and the computer software. The prototype received in excess of one year's evaluation in a land based test site followed by a year's operation at sea. Over two years of failure free operation demonstrated the viability of the concept, with the result that a program is underway to outfit all Canadian Navy surface warships. Due to its modularity, capability, and low cost ADLIPS is considered to be a prime candidate for fitment in a variety of NATO and Allied Navies. © 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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A Learning Identification Algorithm And Its Application To An Environmental System

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IEEE Transactions on systems, Man and Cybernetics 1975年第2期SMC-5卷 226-240页

作者： Duffy, John J. Franklin, Mark A. Control Systems Science and Engineering Program Center for the Biology of Natural Systems Washington University St. Louis Mo. 63130 United States Departments of Electrical Engineering Computer Science Center for the Biology of Natural Systems Washington University St. Louis Mo. 63130 United States

An empirical heuristic learning identification algorithm of Ivakhnenko was modified and used to model an environmental system producing high nitrate levels in agricultural drain water in the Corn Belt. The method amounts to fitting a polynomial to a multi-input single-output response surface. The modifications result in a reduced number of terms in final model equations, a decrease in computational difficulties, and other improvements in the algorithm. This method appears to be advantageous with systems characterized by complexity with many variables and parameters, ill-defined mathematical structures, and limited data. In other words, this algorithm is useful for empirically generating hypotheses about systems of which relatively little is known. © 1975 IEEE. All rights reserved.

关键词： Polynomials Surface fitting Predictive models Nonlinear systems Response surface methodology Equations Algorithm design and analysis Heuristic algorithms Linear systems Belts

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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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THE NAVAL SHIP RESEARCH AND DEVELOPMENT CENTER ADVANCED STRUCTURE FACILITYxs

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Naval Engineers Journal 1973年第1期85卷 43-49页

作者： BECKER, LOUIS A. SIEGRIST, FRANKLIN I. Louis A. Becker was born in New Rochelle N.Y. in 1930 receiving his earlier education in the New Rochelle Public Schools. He completed his undergraduate studies at Manhattan College in 1952 receiving his BCE degree during which time he was also engaged in land surveying. Following this he did postgraduate study at Virginia Polytechnic Institute obtaining his MS in 1954. He joined Naval Ship Research and Development Center in 1953 as a Junior Engineer and is currently the Head of the Engineering & Facilities Division Structures Department. His field of specialization is Structural Research and Development. Franklin I. Siegrist was born in Knoxville Tenn. in 1937 receiving his earlier education in the Public Schools of Erie Pa. He attended Pennsylvania State University graduating in 1962 with a Bachelor of Science degree in Electrical Engineering having prior to that time served four years in the U. S. Navy. He was a Junior Engineer in the AC Spark Plug Division of General Motors from 1962 until 1964 at which time he came to the David Taylor Model Basin as an Electrical Engineer in the Industrial Department. He is currently Supervisory Engineer for Electrical and Electronics Engineering Structures Department Naval Ship Research and Development Center. His field of specialization is Electrical Engineering Control Systems Data Collection Systems Computer Applications to Structural Research and Hydraulic System Design. In the last of these he holds Patent Rights on a “Hydraulic Supercharge and Cooling Circuit” granted in 1970.

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TRANSIM‐A GENERAL PURPOSE PROBLEM SOLVING TOOL

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Naval Engineers Journal 1973年第5期85卷 79-92页

作者： McMICHAEL, DAVID L. ORLEANS, BEATRICE S. Mr. David L. McMichael:is Senior Development Engineer on the Project TRANSIM Staff at the University of California at Los Angeles. He is widely experienced in the application of quantitative analytical methods in particular computer simulation to the solution of real-world problems. Prior to joining the UCLA Staff he was a commissioned officer in the U.S. Navy and was assigned to the Naval Ship Systems Command as a system analyst engaged in the introduction of quantitative analysis methods in the Navy management decision-making process. He has also been Senior Systems Analyst ASSET Inc. Industrial Engineer with the Surface Combustion Corp. and Speiser Engineering Inc. and a lecturer in Mathematics at North Virginia Community College. He received his MS degree in Operations Research at the U.S. Naval Postgraduate School having specialized in gaming and simulation and his BSME degree at Tri-State College Angola Indiana. Miss Beatrice S. Orleans:holds a BA degree in Mathematics and Statistics from Hunter College and a MS degree in Statistics from Columbia University-Graduate School of Business. She has also completed graduate courses at Columbia George Washington and American Universities. Prior to her present position she was employed by the International Statistical Bureau as an economic statistician the Educational Testing Service as a research assistant the Air Force Human Resources Research Laboratory as an aviation psychologist and Head of the Statistics Section and CNO Aviation Plans and Programs as a mathematical statistician. For the past 20 years she has been with the Bureau of Ships and now the Naval Ship System Command in what is known as the Statistical Engineering Branch of which she has been the Branch Head for the last 10 years. She also has worked in the areas of Statistical Quality Control and Design of Experiments and Reliability and in addition has taught a number of sessions of a course in Introduction to Statistical Inference for the Navy the Laboratories and the Army.

This paper describes TRANSIM simulation a a method for solving problems. There is a brief discussion of modeling and its importance. TRANSIM is compared with other general purpose simulators, special purpose simulation, and network analysis techniques such as PERT/CPM. Data requirements for TRANSIM applications are discussed, and a few examples of specific Navy applications are described in a general fashion. In conclusion, the paper details the latest TRANSIM development work in project analysis and output formats for project risk, resource allocation and scheduling. © 1973 American Society of Naval Engineers

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