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Proceedings of the Latin American Web Congress (LA-Web)

作者： L.A.G. da Costa P.F. Pires M. Mattoso COPPE-Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil DCC-IM/NCE Federal University of Rio de Janeiro Rio de Janeiro Brazil

We present the WebComposer tool for the automatic composition and execution of Web service-based workflows. We use ontologies to describe and browse workflows. We associate messages and operations with workflow domain concepts using WSDL extensibility. The automatic workflow implementation through WebComposer enables the full separation of the workflow logic and the implementation technology. WebComposer provides the execution of ad-hoc programs by users and the automatic maintenance of these programs, as the available Web services are altered.

关键词： Web services Ontologies Software agents Automatic logic units Semantic Web systems engineering and theory computer science Web sites Information resources Application software

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Improving project design through process awareness agents

Improving project design through process awareness agents

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International Conference on computer Supported Cooperative Work in Design

作者： A. Vivacqua D. Pinho J. de Souza S. Medeiros Computer Science Program Graduate School of Engineering COPPE DCC/IM-Institute of Mathematics Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil DEL/POLI-Department of Electronics and Computing Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil

We start from a case study of an architecture company and move on to a framework of agents to identify and inform conceptual design. The processes and problems exhibited by the company involved are quite common and can be found in other similar companies. Our intent is to instrument the current process using agent technology, in an effort to improve global awareness during the conceptual design phase, allowing the designers to design so as to facilitate later steps and optimize the process as a whole.

关键词： Process design Companies Design engineering computer science Mathematics computer architecture Instruments Design optimization Feedback Delay

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Fuzzy Markov predictor in electric load forecasting

Fuzzy Markov predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Brazil Systems Engineering and Computer Science Program E28093 Graduate Programs in Engineering (COPPE) Federal University of Rio de Janeiro Brazil

We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to predict numerical values. The FMP can be seen as an extension of the fuzzy Bayes predictor (FBP) that was modified from the naive Bayes classifier. For verifying the efficiency of the FMP's prediction, we compare it with the FBP, one fuzzy system and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Hidden Markov models Power engineering and energy Smoothing methods Niobium compounds systems engineering and theory computer science Predictive models Electric variables measurement

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Workshop on software quality

Workshop on software quality

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International Conference on Software engineering (ICSE)

作者： M.M. de Oliveira A.R. Rocha K. Chaves Weber Computer Science Department Catholic University of Brasilia Brazil Graduate School of Engineering-COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Quality and Productivity Software Program/ Software Sub-committee Society for the Promotion of Excellence in Brazilian Software SOFTEX Brazil

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Fuzzy Bayes predictor in electric load forecasting

Fuzzy Bayes predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program Graduate Programs in Engineering COPPE Federal University of Rio de Janeiro Brazil Electric Power Research Center CEPEL CEPEL Brazil

ISBN: (纸本)0780370449

We present the fuzzy Bayes predictor (FBP), a hybrid system for the task of monthly electric load forecasting. The FBP is a modification we introduce in the naive Bayes classifier in order to enable it to predict numerical values. We consider three versions of the FBP, each one with a different dependence among the input data: independence, first-order and second-order dependence. For verifying the efficiency of the FBP's prediction, we compare it with two fuzzy systems and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Power engineering and energy Smoothing methods Testing Niobium compounds systems engineering and theory computer science Predictive models Electric variables measurement

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Advances in aircraft carrier life cycle cost analysis for acquisition and ownership decision-making

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NAVAL ENGINEERS JOURNAL 2000年第3期112卷 97-110页

作者： Chewning, IM Moretto, SJ Irvin M. Chewning:is currently the Director of the Aircraft Carrier Cost Estimating and Industrial Analysis Group of the Naval Sea Systems Command. Over the past four years Mr. Chewning has guided the cost analysis effort for the new CVNX class aircraft carrier through a three-part analysis of alternatives and is currently steering it towards Milestone I in June of 2000. In 1999 the CVNX cost analysis team was presented the NAVSEA Association of Scientists and Engineers “outstanding team achievement” award for its work on the CVNX analysis of alternatives. Mr. Chewning's professional career includes over 16 years as an employee of Newport News Shipbuilding as a Pipe Fitter Piping Systems Designer Piping Systems Engineer and Cost Engineer. He has worked at the Naval Sea Systems Command since 1980 as a Senior Cost Analyst Branch Head and Deputy Division Director of the Cost Estimating and Analysis Division. He has preformed cost analysis work for virtually all USN combatant programs including submarines cruisers destroyers frigates and aircraft carriers. He also performed the cost analysis work for the OSD evaluation of the Israeli Naval Modernization Program in the 1980's. Mr. Chewning is also Chairman of the NATO Specialist Team on Ship Costing a subgroup of the NATO Naval Group Six on Ship Design. Under his leadership two Allied Naval Engineering Publications have been completed in the 1990's: ANEP-41 on Ship Costing and ANEP-49 on Ways to Reduce Costs of Ships. In 1999 the NATO Specialist Team on Ship Costing completed a paper titled “Manpower Reduction and the Use of Commercial Standards and Practices to Reduce Costs of Ships.” The result of this work will be incorporated in a future revision of the aforementioned ANEFs. Mr. Chewning is a graduate of North Carolina State University with a Bachelor of Science in Mechanical Engineering. Mr. Chewning has also completed courses at the University of Virginia and Christopher Newport University Mr. Chewning is a graduate of the Program Management College

The U.S. Navy recently conducted an analysis of alternatives (AOA) to set the stage for determining the characteristics and acquisition strategy for its next generation aircraft carrier. The platform design selected is expected to be in service throughout the 21st century. The parameters under consideration for change in the new carrier design lie in the areas of propulsion and electric power generation, aviation, survivability, service life, and total ownership cost (TOC) reduction. The issue of affordability is paramount This paper focuses on the need for the program management office and its supporting cost analysis staff to understand the life cycle cost (LCC) of the existing and proposed future aircraft carriers and to then translate these LCC's into meaningful information for cost-conscious decision making. The challenge is to relate the LCC in terms the key decision-makers and the engineering team can use to satisfy their respective roles. Thus, it is necessary to translate the results of the given ship design alternative LCC's into the paradigms of the respective stakeholders: Fleet User (operators of aircraft carriers) Ship Designers (translators of the fleet operator requirements) program Sponsors (providers of the funding resources) program Management Office, Ship builder and Supporting Industry (executors of the acquisition and construction of the ship) Navy and OSD decision-makers (overseers of program execution) The paper describes the aircraft carrier LCC breakdown structure that has resulted, in part, from a recent navy/shipbuilder integrated product team effort to capture total ownership costs. The structure has been used in the AOA as a tool to identify cost drivers and to add the time element to the cast equation in order to perform return on investment and program affordability analysis. The expanded ship work breakdown structure (ESWBS) has emerged as the central backbone of the cost work breakdown for AOA work. The ESWBS structure is a natural

关键词： Aircraft carriers

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Recurrent neural gas in electric load forecasting

Recurrent neural gas in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program-Graduate Programs in Engineering Federal University of Rio de Janeiro Brazil Electric Power Research Center Brazil

We have proposed for the task of hourly electric load forecasting a hybrid neural system combining unsupervised and supervised learning. The system consists of a recurrent neural gas (RNG) network and many Elman neural networks (ENs). RNG is a modification we introduced in the neural gas (NG) network in order to enable it to do clustering using a sequence of input data. For verifying the RNG's performance, many architectures are compared in the learning of global and local models. In a global model only one supervised network is trained and in a local model the training examples are grouped by a clustering algorithm and each one of these groups is sent to different supervised networks. These architectures use different clustering algorithms (NG and RNG) or different supervised networks for prediction (ENs that are trained by backpropagation or backpropagation through time, and feedforward networks).

关键词： Load forecasting Clustering algorithms Neural networks Predictive models Power engineering and energy Backpropagation algorithms Supervised learning systems engineering and theory computer science Recurrent neural networks

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engineering the environmentally sound warship for the twenty-first century

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 189-217页

作者： Markle, SP Gill, SE McGraw, PS Udr. Stephen P. Markle USN is a career Engineering Duty officer assigned to Naval Sea Systems Command Arlington Virginia where he is Deputy Directs Environmental Programs Division (SEA 03L1 B). He is responsible fm program management activities associated with all ahat environmental protection equipment design and selection of environmental protection equipment and systems fm future surface ship designs (DD 21 CVN 7Z CW LPD 17) and serves on several teams designed to promote Nay wide awarmss of environmental protection requirements and Nay programs to meet these challenges. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Technology where he received a naval engineers degree and master of science in mechanical engineering. His interest in environmental issues predates his undergraduate studies at Syracuse Universityl State University of New Ymk College of Environmental Science and Fmestry where he received a bachelm of science degree in fmest engineering from the School of Environmental and Resource Engineering. LCdx Markle has qualified as a Surface Warfare Officer and in submarines through the Engineering Duty Dolphin Program he is a member of the Acquisition Professional Community and a graduate of the Defense Systems Management College Advanced Program Managers Course. He is a professional engineer registered in the State of New York and is a member ofthe American Society of Naval Engineers National Society of Professional Engineers American Society for Testing and Materials Society of Naval Architects and Marine Engineers and Society of Automotive Engineers. Peter 5. McGraw is current the Acting Branch Head ofthe Solid Waste Management Branch (Code 634) of the Environmental Quality Dwrtment of the Naval Surfice Warfare Centel: Carderock Division. As such he is responsible for among other things: the Shipboard Advanced Incinerator RDT&E Program the Submarine Plastic Waste RDT&E Program Solid Waste Processing Equipment Design Acquisitio

The past twenty-five years has been marked by the introduction ed marine environmental regulations that have had a profound effect on how ships are designed, built and operated. Ships being designed and built today must accommodate not only current regulations but anticipate those enacted over their thirty to fifty year life cycles. U.S. Chief of Naval Operations, Office of Environmental, Safety and Health (CNO N45) has articulated a vision for the Environmentally Sound Warship of the Twenty-first Century. This vision incorporates the "Sense of Congress" for a naval ship designed to operate in full compliance with environmental regulations worldwide. The task of the Navy engineering team is to translate this vision into reality;a ship capable of prevailing in time of war and able to conduct operations in all areas of the globe, unencumbered by special procedures for environmental compliance. The keys to this warship design are the early integration of environmentally sound principles, materials, and processes into the ship acquisition process;minimization of both hazardous materials and generation of post shipboard consumer waste during operation;adaptation of integrated systems to reduce the volume of wastes and enhance processing efficiency;reduced manpower requirements;and crew indoctrination in environmental protection.

关键词： Ships Environmental regulations engineering ARTICULATED Navy environmental security

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Modelling combat system manning and manpower reduction

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 153-171页

作者： Roos, CH Carl H. Roos:is a Senior Engineer with Logicon-Syscon. A graduate of the University of Pittsburgh with a BSEE degree he has over 35 years experience in functional operational combat system fire control interface and computer program design. As technology changed and the combat system was upgraded Mr. Roos maintained his level of technical expertise by taking graduate-level courses in computer science modelling & structured analysis networking & fiber optics. He has worked in various capacities on the LHD LHA DDG 993 DD 963 LPD 17 LCC LPD 13 CGN 38 CGN 9 CG 26 and the DDG Class Combat Systems. In recent years Mr. Roos has been responsible for managing directing and performing engineering design and analysis efforts associated with Battle Management Organization (BMO) functional analysis and operational analysis. These efforts were used in defining combat system operational requirements shipboard space requirements and integration requirements. His paper “Configuration Management of Digital Programs” was published at the 1972 IEEE Southeastern Conrence.

NAVSEA 03K41 is responsible for generating Combat System Rattle Management Organizations (BMO) and Functional Flow Diagrams (FFD). Several years ago, NAVSEA provided the resources to conduct a functional analysis that would support the development and validation of the BMOs and FFDs. The major obstacle in performing the analysis was obtaining a consensus on how the functional hierarchy was to be structured. The non-optimum organization of the hierarchy was selected;as a result, the functions were difficult to define, find, use, and validate. Recognizing the shortcomings of this effort, research was conducted to evaluate state-of-the-art structured modelling techniques, concepts, and methodologies. Two modelling concepts by James Martin were found to be applicable for the combat system functional analysis: Enterprise Modelling Concept and Functional Decomposition Modelling Concept. The Structure Modelling definitions of Whitten, Bently, and Barlow provided the guidelines for using the Martin concepts. During the ensuing BMO and FFD development efforts, a Ship's Combat System (SCS) Modelling concept evolved and a SCS Model was developed. This paper addresses how the modelling concepts and tools are used in the BMO and FFD development and validation process. Data from the SCS Model provides the basis for defining combat system requirements (e.g., software, data display, database, networking, etc.).

关键词： Naval vessels

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CVN 68 class solid waste flow analysis

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 73-87页

作者： Markle, SP Gill, SE LCdr. Stephen P. Markely USN:is a career Engineering Duty Oficer assigned to Naval Sea Systems Command Arlington VA where he is Deputy Directol Environmental Protection Systems Division (SEA 03 LIB). He is responsible for Program Management activities associated with all afloat environmental protection equipment and serves on several teams designed to promote Navy wide awareraess of environmental protection requirements and Navy programs to meet these challenges. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Zchmlogy where he received a Naval Engineering Degree and Master of Science in Mechanical Engineering. His interest in environmental issues predates his undergraduate studies at Syracuse UniversitylState University of New York College of Environmental Science and Forestw where he received a Bachelm of Science degree in Forrest Engineering from the School of Environmental and Resource Engineeriw. LCdr Markle has qualified as a Surface Warfare Oficer and in submarines through Engineering Duty Dolphin Program. He is a Professional Engineer registered in the State of New York and is a member ofASNE NSPE ASTM SNAME and SAE. Sean G. Gill:is a Senior Engineer with GEO-CENTERS incorporated in Pittsburgh PA where he provides technical and administrative support to the Naval Sea Systems Command (SEA 03L1) and the Carderock Division of the Naval Surfme Waflare Center (Code a) principal& on the shipboard and submarine solid waste management programs. Prior to joining GEO-CENTERS incorporated in 1996 he worked for eleven years at the Carderock Division of the Naval Surfme Warfare Center as a project engineer and a Branch Head. In the former capacity Mr Gill participated in various blackwatel gray watel and oily wastewater treatment projects oversaw the development of the Navy Pulper and was Center's technical team leader for the NAVSEA Solid Waste management program. In 1994 he was assigned to be Branch Head of Code 634 the Solid Waste Management

Through a detailed Research and Development program, the U.S. Navy has developed a suite of shipboard solid waste management equipment enabling compliance with federal and international law. Four major equipment types have been developed to outfit twenty-seven classes of naval surface ships. The major equipment types are: Plastic Waste Processor (PWP), Metal/Glass Shredder (MGS), Large Pulper (LP), and Small Pulper (SP). The Navy is aggressively procuring and installing this equipment aboard all ships of FFG 7 Class and larger. A deadline of December 31, 2000 has been set for completion. engineering analysis and held waste generation studies were conducted to select the specific equipment suite and develop alteration documentation for each ship class. Specific factors in this process were: solid waste generation rates, equipment reliability analysis, ship arrangement considerations, daily equipment operation Limits, and shipboard quality of life issues. A solid waste management study was conducted in the fall of 1997 to validate Navy equipment and ship design parameters onboard the USS John C. Stennis (CVN 74). Generation rates for shipboard solid waste were determined for plastic, metal and glass, food, paper, cardboard, fabric and wood. engineering analysis of data allowed a decrease in CVN 68 Class design waste generation rates. engineering analysis enabled a reduction in the number of PWPs and MGSs required, and fewer spaces for efficient operation. Ship arrangement studies were conducted to optimize efficiency and equipment mix of Solid Waste Processing Rooms (SWPRs) relative to waste generation sites. This paper briefly articulates the process followed by the Navy in responding to regulations governing solid waste management in the marine environment. Evidence validating the engineering procedures followed is presented.

关键词： Ship equipment

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