A concept for an air pollution simulation environment to predict and manage smog situations is presented consisting of the necessary data bases, a mesoscale meteorological model, an air chemistry model, and decision s...
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A concept for an air pollution simulation environment to predict and manage smog situations is presented consisting of the necessary data bases, a mesoscale meteorological model, an air chemistry model, and decision support tools including result visualization. Simulation runs and scenario analyses of such numerically complex models take hours of computing time, even on today's supercomputers. Therefore a strategy for model decomposition and implementation on massively parallel computers is described. Simulation results are shown for an ozone smog situation in Berlin.
Because of its superior performance and cost-effectiveness, parallel computing will become the future standard, provided we have the appropriate programming models, tools and compilers needed to make parallel computer...
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Because of its superior performance and cost-effectiveness, parallel computing will become the future standard, provided we have the appropriate programming models, tools and compilers needed to make parallel computers widely usable. The dominating programming style is procedural, given in the form of either the memory sharing or the message-passing paradigm. The advantages and disadvantages of these models and their supporting architectures are discussed, as well as the tools by which parallel programming is made machine-independent. Further improvements can be expected from very high level coordination languages. A general breakthrough of parallel computing, however, will only come with the parallelizing compiler that enable the user to program applications in the conventional sequential style. The state-of-the-art of parallelizing compilers is outlined, and it is shown how they will be supported by higher-level programming models and multi-threaded architectures.< >
My principle answer is: yes, but it depends. Parallelization of symbolic applications is possible, but only for certain classes of applications. Distributed memory may prevent parallelization in some cases where the r...
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My principle answer is: yes, but it depends. Parallelization of symbolic applications is possible, but only for certain classes of applications. Distributed memory may prevent parallelization in some cases where the relation of computation and communication overhead becomes too high, but also may be an advantage when applications require much garbage collection, which can then be done in a distributed way. There are also some applications which have a higher degree of parallelism than can be supported by shared memory, and so are candidates for profiting by massively parallel architectures.< >
The Flooding Casualty Control software (FCCS) was developed under the auspices of the Naval Sea Systems Command (NavSea) and is currently being deployed on a variety of ships in the neets of both the U.S. Navy and the...
The Flooding Casualty Control software (FCCS) was developed under the auspices of the Naval Sea Systems Command (NavSea) and is currently being deployed on a variety of ships in the neets of both the U.S. Navy and the U.S. Coast Guard. The primary objective of FCCS is to enable damage control personnel to identify critical stability conditions, especially when related to the loss of reserve buoyancy due to battle damage and the destabilizing effects of large quantities of firefighting water, in a timely manner. FCCS was initially deploved in 1990. It utilizes the standard algorithms of the Ship Hull Characteristics Program (SHCP). The user interface was designed to allow quick familiarity for shipboard users, primarily the damage control assistant (DCA) and his staff. Intact stability evaluations include the effects of topside icing, high winds, personnel crowding, heavy lifts over the side, high speed turns, and towing. FCCS also supports ballasting analysis for amphibious ships as well as providing bottom reaction and beached stability data for grounding incidents. Bv providing a tool for the ''fuel king'' and DCA to generate the required daily updates on the current ship load and liquids status, FCCS is assured of an accurate baseline in the event of damage. The design allows the evaluation of the ultimate ship stability status for a damage event using simple compartmentation and flooding status inputs. Evaluation of the adequacy of resulting stabilitv, as well as identification of such critical stability parameters as off center loading, margin line immersion, and negative GM, are accomplished by the program. Guidance is provided for the user to initiate appropriate flooding related damage control activities. Initially fitted on USS Oliver Hazard Perry Class frigates, FCCS databases have been for the USCG Hamilton class high endurance cutters, USS Arleigh Burke class Aegis destroyers, and a variety of other U.S. Navy and U.S. Coast Guard ship classes. The progra
As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support b...
As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing software engineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.
A modified version of incremental learning model of Lebowitz's UNIMEM is proposed in this paper1. This new model is called G-UNIMEM which is motivated from the natural language acquisition study. It can extract ca...
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A modified version of the incremental learning model of Lebowitz's UNIMEM (1986) is proposed. This new model is called G-UNIMEM which is motivated from natural language acquisition study. It can extract causal rel...
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A modified version of the incremental learning model of Lebowitz's UNIMEM (1986) is proposed. This new model is called G-UNIMEM which is motivated from natural language acquisition study. It can extract causal relations from a set of training instances annotated with specified cause and goal features. The experiment is carried out on the acquisition of anaphoric regularity in Mandarin Chinese.< >
Naval ship design is a complex, iterative decision-making process that requires not only qualitative reasoning and quantitative computations, but also effective handling of massive amounts of information. The developm...
Naval ship design is a complex, iterative decision-making process that requires not only qualitative reasoning and quantitative computations, but also effective handling of massive amounts of information. The development of a systematic procedure in the form of an interactive Decision Support System (DSS) incorporating artificial intelligence (AI) techniques can assist in improving the design process. The DSS reported in this paper integrates conventional naval ship design application software with an expert system. Modeling techniques such as a spreadsheet, a database management system, and graphic display capability are incorporated as well. This DSS facilitates "what-if" analysis of design problems and assessment of the trade-offs between performance and cost. The DSS will aid rapid generation of design alternatives and facilitate their evaluation. A final recommendation is made based on multiattribute decision analysis using the straightforward points allocation method and the analytic hierarchy process. During a typical consultation process, the user is prompted for inputs to the naval ship design process and is provided with a wide range of reports in graphical and numerical form. During a structured system evaluation, the DSS displayed considerable accuracy, flexibility, speed, user-friendliness, and cost-effectiveness. The reliability and validity of the system were also confirmed. These evaluation procedures provide a replicable methodology for verification and validation of this type of AI-based decision support system.
作者:
RYAN, JCJONS, OPJ. Christopher Ryan:earned his bachelor's and master's degrees in Naval Architecture from Webb Institute and MIT
respectively. He spent three years at the Advanced Marine Technology Division of Litton Industries working on the DD-963 class ship design and related computer aided design projects. he subsequently went to the Navy Department concentrating on early stage design of surface combatants for 12 years including work on the FFG-7 Sea Control Ship CSGN and CVV aircraft carrier projects. He then shifted focus and became the technical director for the Computer Supported Design Program in NavSea for five years. Mr. Ryan has served in several supervisory positions within the Ship Design Group in NavSea since that time. He is currently the project manager for the Ship Design Acquisition and Construction Process Improvement Project. Otto P. Jons:received a Diplom Ing. in shipbuilding from the Technical University of Hannover
W. Germany and an M.S. in naval architecture and marine engineering from the Massachusetts Institute of Technology in 1967. He then joined Litton Ship Systems where he was responsible for the preliminary design of the DD-963 hull structure and then for ship systems as manager LHA Ship Systems Engineering Department. From 1972 to 1974 he was principal research scientist at Hydronautics. In 1976 as technical director he helped establish the local office of Designers and Planners. Otto Jons was one of the co-founders of Advanced Marine Enterprises Inc. in 1976 where he is corporate vice president engineering.
In the spring of 1990, the NavSea Chief Engineer initiated a project to improve the design, acquisition and construction (DAC) of U.S. Navy ships. The project's objectives are to reduce the time and cost of acquir...
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In the spring of 1990, the NavSea Chief Engineer initiated a project to improve the design, acquisition and construction (DAC) of U.S. Navy ships. The project's objectives are to reduce the time and cost of acquiring and operating Navy ships while improving their quality, unlike previous studies on the subject, the project utilizes a rigorous process analysis approach and attempts to use quantitative measures as the basis for recommending improvements. The paper is, of necessity, a status report on the progress of this project. Topics covered include: the DAC process;a look at the current state of ship acquisition time, cost, and quality;the methodology for process improvements;and early findings.
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