This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use i...
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This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic control systems. In addition to control component and syst...
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic control systems. In addition to control component and system design deficiencies, these control systems suffered from inadequate methods to measure and adjust system alignment. This paper describes the development of a set of procedures for on-line alignment verification (OLV) of pneumatic main boiler and feedpump control systems. The procedures are designed for use by N avy control system technicians and, in addition to on-line alignment verification, provide guidance for troubleshooting and for performing system alignment. Procedure static checks measure steady state steaming performance and OLV procedure dynamic checks measure the ability of the boiler and control systems to respond to load changes. The paper describes typical control system characteristics that influence OLV procedure content and the supporting analysis that was used to establish alignment criteria ranges that satisfy both steady state and transient performance requirements. Also described is the alignment criteria tolerance analysis along with the steps involved in a typical OLV check procedure development. Descriptions of the various OLV checks, troubleshooting procedures and alignment procedures are provided. Typical shipboard implementation requirements are described and experience to date with the procedures is provided along with a status report on OLV procedure implementations.
作者:
KING, JFBARTON, DEJ. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston
Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston
Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr
A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several know...
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A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.
The present paper contains our study regarding the diminution of the urban noise using the phonique barrier walls conformed to the EMPARA procedure, which is based on the simplified of the standard method for the meas...
The present paper contains our study regarding the diminution of the urban noise using the phonique barrier walls conformed to the EMPARA procedure, which is based on the simplified of the standard method for the measurements and computes of the surface traffic inside the urban agglomeration, as they are given in SRM2 laws (Netherlands standards). There are made the studies taking into account all the parameters that characterize the the noise and they are graphical representations having the “n‐1” constant parameters and only one having the time variation law. In this way we are obtained the influence of each parameter in the diminution of the urban noise using the phonique barrier walls. In addition we realized a measurement for a real barrier wall inside the Oradea town. The comparison between them was enough good, that means our theoretical study is correct and characterizes the noise pollution and its diminution on the urban agglomeration. The measurement device was a CENTER 322 Sound Lever Meter. This study contains the two steps for the “noise map” asked for the Romania integration in the European Union, and was made by the researchers of the Oradea University under the direction of the Prof. Dr. Ing. Mariana ARGHIR from the Technical University of Cluj‐Napoca.
作者:
NANCY MERRITTTERRY FAINSUSAN TURNERExtensive experience conducting justice system policy studies at the state and local level. As a Policy Analyst with the RAND Corporation and government agencies
she designed and directed studies focused on the development implementation and evaluation of sentencing policy as well as juvenile and adult correctional programs. Her current work focuses on the implementation and impact of mandatory sentencing laws cross-jurisdictional variations in their application and the effects of prosecutorial discretion. Additional areas of interest include the development implementation and evaluation of juvenile justice programming. Ms. Merritt received her M.S. from the Pennsylvania State University University Park and is a Ph.D. candidate with the Rutgers University School of Criminal Justice. M.A.
M.S. is a Senior project associate in the Behavioral Sciences Department at RAND Corporation. He has extensive research experience in criminal justice and substance abuse. He is expert in computer statistical techniques as well as in managing large datasets. He has conducted analysis for many RAND projects and is author or co-author of numerous publications both from RAND and in peer-reviewed journals. His research interests include alternatives to incarceration substance abuse and treatment racial disparities in prison admissions and research collaborations with state and local justice agencies. Professor in the Department of Criminology
Law and Society at the University of California's Irvine campus. She received her Ph.D. in Social Psychology from the University of North Carolina at Chapel Hill. She has led a variety of research projects including studies on racial disparity field experiments of private sector alternatives for serious juvenile offenders work release day fines and a 14–site evaluation of intensive supervision probation. Dr. Turner's areas of expertise include the design and implementation of randomized field experiments and research collaborations with state and local justice agencies. He
Research Summary: Oregon's Measure 11, a mandatory minimum sentencing policy passed in 1994, had fewer negative system impacts than had been anticipated by many state and local criminal justice administrators, due...
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Research Summary: Oregon's Measure 11, a mandatory minimum sentencing policy passed in 1994, had fewer negative system impacts than had been anticipated by many state and local criminal justice administrators, due largely to the fact that prosecutors exercised the discretion provided them under the law to selectively prosecute cases. Consequently, fewer Measure 11-eligible cases were sentenced under the relevant statues than before passage of the measure, and more were sentenced to lesser related offenses. At the same time, incarceration rates and sentence lengths increased for both Measure 11 and lesser related offenses. Trial rates increased for two years after Measure 11 took effect before reverting to previous levels. Policy Implications: The “unintended consequences” that Measure 11 produced should not have been unexpected. Our research indicates that the entire system will quickly adapt to mitigate the more draconian outcomes predicted by those who assume a simplistic implementation, which underscores the importance of understanding system dynamics and inter-relationships before implementing reform, as well as the pitfalls of designing legislation for either symbolic appeal or formal logic rather than for actual effect.
In the originally published version of this Article, the affiliation details for Santi González, Jian'an Luan and Claudia Langenberg were inadvertently omitted. Santi González should have been affiliated...
In the originally published version of this Article, the affiliation details for Santi González, Jian'an Luan and Claudia Langenberg were inadvertently omitted. Santi González should have been affiliated with 'Barcelona Supercomputing Center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, 08034 Barcelona, Spain', and Jian'an Luan and Claudia Langenberg should have been affiliated with 'MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK'. Furthermore, the abstract contained an error in the SNP ID for the rare variant in chromosome Xq23, which was incorrectly given as rs146662057 and should have been rs146662075. These errors have now been corrected in both the PDF and HTML versions of the Article.
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