A multi-resolution K-means clustering method is presented. Starting with a low resolution sample of the input data the K-means algorithm is applied to a sequence of monotonically increasing-resolution samples of the g...
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A multi-resolution K-means clustering method is presented. Starting with a low resolution sample of the input data the K-means algorithm is applied to a sequence of monotonically increasing-resolution samples of the given data. The cluster centers obtained from a low resolution stage are used as initial cluster centers for the next stage which is a higher resolution stage. The idea behind this method is that a good estimation of the initial location of the cluster centers can be obtained through K-means clustering of a sample of the input data. K-means clustering of the entire data with the initial cluster centers estimated by clustering a sample of the input data, reduces the convergence time of the algorithm.
We studied the use of a collaborative multimedia system for coordinating teamwork among members of a neurosurgical team. We analyze the use of video within the operating room and the use of broadcast audio and video t...
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In this paperl, we argue that to apply rationality results of belief dynamics theory to various practical problems, it should be generalized in two respects:first of all, it should allow certain part of belief to be d...
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作者:
FAIRHEAD, DLHALL, CCSince graduating from Cleveland State University in 1965 with a Bachelor of Science degree in Mathematics
he has worked for the Navy at Annapolis participating in several different automation efforts ranging from design aids to surface ship bridge control. Mr. Fairhead has completed graduate work in Computer Science at the University of Maryland has a certificate in Computer Programming holds a patent and is a member of the Association for Computing Machinery (ACM). Upon graduation from Morgan State in 1962
Mr. Hall was employed as a physicist at the Naval Surface Warfare Center Carderock Division Annapolis until 1994. During that time period he served as program technical manager for propulsion technology and as senior project scientist for several automation projects including the Automated Ships Bridge project. Mr. Hall also served as a member of the initial Technical Director's Technology Application Team and of the Autonomic Ship Innovation Center Team. Mr. Hall is a member of the American Institute of Physics and Sigma Pi Sigma (National Physics Honor Society).
A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improve...
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A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improvements in affordability and operational effectiveness. One such investigation has resulted in the development of the Standard Monitoring and Control System (SMCS), a modular, open architecture control system which includes the control system components for propulsion, electric plant, auxiliaries, and damage control. The first major technology upgrade to SMCS will entail the insertion of Artificial Intelligence (AI) technologies into HM&E monitoring and control applications. The Intelligent Machinery Control Integration Task (IMCI) was established to provide a structural approach for this major technology upgrade. As part of the first phase of IMCI, an identification of intelligent control requirements, an assessment of AI technologies, and a survey of intelligent control applications were performed. This paper lists those HM&E-related shipboard operational requirements from which intelligent machinery control requirements will be identified. Also, there is an initial assessment of AI-related reasoning and the following AI technologies, knowledge-based systems, fuzzy logic, neural nets, and genetic algorithms. The survey provided some insight into applying AI technologies to SMCS shipboard operational requirements.
作者:
POND, LCLI, VOKCommunication Sciences
Electrical Engineering Systems University of Southern California Los Angeles CA 90089-2565 U.S.A. Lawrence C. Pond received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Southern California in 1983 and 1990
respectively. Dr. Pond is currently a scientist at Hughes Space and Communications Company having joined in 1980. He has worked in the fields of communication system design mobile communication network and spacecraft payload design. He is currently working on the development of satellite-based ATM transport and switching architectures for BISDN and Defense Information System Network amlications. Dr. Pond is a member of IEEE. Victor O. K. Li was born in Hong Kong in 1954. He received his SB
SM and Sc.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology Cambridge Massachusetts in 1977 1979 and 1981 respectively. Since February 1981 he has been with the University of Southern California (USC) LOS Angeles California where he is Professor of Electrical Engineering and Director of the USC Communication Sciences Institute. He has published 150 technical papers and has lectured and consulted extensively around the world. His research interests include high-speed communication networks personal communication networks intelligent networks distributed databases queueing theory graph theory and applied probability. Dr. Li is very active in the Institute of Electrical and Electronic Engineers (IEEE) having been a member of the Computer Communications Technical Committee since 1983 and having served as Chairman from 1987–1989. He served as Chairman of the Los Angeles Chapter of the IEEE Information Theory Group from 1983–1985. He is the Steering Committee Chair of the International Conference on Computer Communications and Networks (IC3 N) General Chair of the 1st Annual IC3N held in San Diego California in June 1992 General Chair and Technical Program Chair of the 4th IEEE Workshop on Comp
In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tool...
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In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tools are developed to determine the virtual circuit and network set-up times in terms of the channel bandwidth allocated to establish and maintain the network. The tools are then extended to include the effects of user mobility. Then these results are combined with the network capacity results of Part 1 to analyse the trade-off between the data rate and set-up time of the network. Next a hierarchical architecture is proposed and the network data rate versus set-up time trade-off of this architecture is analysed using these tools. This architecture is shown to both provide a higher data rate and establish faster than flat networks of the same number of nodes.
作者:
Tonjes, David J.Heil, James H.Black, John A.David J. Tonjes is a doctoral candidate in coastal oceanography at the Marine Sciences Research Center
University at Stony Brook through its Waste Management Institute (Waste Management Institute Marine Sciences Research Center University at Stony Brook 11794–5000). Under a grant from the Town Board he is a technical adviser to the commissioner of waste management of the town of Brookhaven New York in solid waste planning regulatory compliance and environmental site monitoring. Tonjes has a B.A. in liberal arts from St. John's College an M.S. in computer science from New York Institute of Technology and an M.S. in technological systems management from the University at Stony Brook. James H. Heil is commissioner of waste management for the town of Brookhaven (Department of Waste Management
Town of Brookhaven 3233 Rte. 112 Medford NY 11763). Heil received a B.S. from Manhattan College and an M.S. from New York University in civil engineering and is a licensed professional engineer in New York. He is a former president of the New York State Solid Waste Management Association. John A. Black is the coordinator of the environmental science program at Suffolk County Community College (Environmental Science Program
Suffolk County Community College Selden NY 11784). He is currently the chair of the Ecology Committee of the Pine Barrens Advisory Committee for Suffolk County and is a member of the Suffolk County Pine Barrens Review Commission. Black received a B.S. in chemistry from Adephi University an M.S. in public administration from the University at Stony Book an M. S. from Hofstra University and a Ph. D. from Adlephi in marine sciences.
Stiff diagrams arc a multivariate method of analysis used to describe the chemical state of ground water. The use of Stiff diagrams to describe multiconstituent contamination sites, such as landfills, has distinct adv...
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 comb...
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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.
We present an O(\V\ + \E\) algorithm for finding the minimum cost between two vertices of a Manhattan graph (V, E) - a graph in which the vertices are points in Z(d) and the weight on each edge is the Manhattan distan...
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We present an O(\V\ + \E\) algorithm for finding the minimum cost between two vertices of a Manhattan graph (V, E) - a graph in which the vertices are points in Z(d) and the weight on each edge is the Manhattan distance between its two incident vertices.
In this paper, we extend the partial deduction framework of Lloyd and Shepherdson, so that unfolding of non-ground negative literals and loop checks can be carried out during partial deduction. We show that the unifie...
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In this paper, we extend the partial deduction framework of Lloyd and Shepherdson, so that unfolding of non-ground negative literals and loop checks can be carried out during partial deduction. We show that the unified framework is sound and complete wrt well-founded model semantics, when certain conditions are satisfied.
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