This paper examines the predictability of monthly aftermarket returns of initial public offerings during the first six years of trading. Predictability is tested under the null hypothesis of random walk using a Markov...
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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...
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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.
作者:
Wu, BCYoung, GSSchmidt, WChoppella, KDr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland
College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young:
a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership
material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories
Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive asse...
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Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.
Industry has recognized that effective use of automated diagnostic software can greatly enhance process quality and productivity. Simultaneously, significant advances have been made in the technologies of process mode...
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Industry has recognized that effective use of automated diagnostic software can greatly enhance process quality and productivity. Simultaneously, significant advances have been made in the technologies of process modelling, using techniques such as neural networks, regression methods, and various analytical approaches. Here we will present a simple method to perform model-based diagnosis. The method is simple to implement, intuitively appealing, and requires information that should be standardly available. The method requires as input current process data, set-point information, and a predictive process model, and outputs a table of diagnostic scores which indicate the likelihood of a particular factor being the cause of an observed special cause on a statistical process control chart.
Consider a pyramid with n levels and a k-dimensional hypercube, 0/spl les/k/spl les/2n-2. The paper presents a parallel algorithm for embedding large pyramids into smaller hypercubes with load balancing. With dilation...
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Consider a pyramid with n levels and a k-dimensional hypercube, 0/spl les/k/spl les/2n-2. The paper presents a parallel algorithm for embedding large pyramids into smaller hypercubes with load balancing. With dilation 4, congestion at most 2/sup n-k/2/+4, and load [2/sup 2n-k//3] when k is even, our algorithm embeds the pyramid into the hypercube, otherwise, with the same dilation and load, it has congestion 2/sup n-(k+1)///sup 2+1/+6 when k is odd. The algorithm can be performed in O(k)-bit time.
作者:
Hafner, ANArnold N. Hafner
Ph.D.:is founder and president of Information Systems Research (ISR). He has twenty-five years of experience in systems development and is published in the field of systems development management. He served as corporate research scientist at Systems Exploration Inc. from 1988 to 1991 program director at Computer Science Corporation from 1983 to 1988director of operations at Republic Management Systems Corporation from 1981 to 1983
and program manager at Computer Science Corporation from 1972 to 1981. A 1962 graduate of the US. Naval Academy he holds a doctoral degree in human behavior and engineering degrees in electronics and communications. He has taught courses on information systems and systems management at most of the colleges in the San Diego area. Dr. Hafner has presented fourteen refereed research papers while publishing sixteen articles and a book A Manager's Guide to Software System Development.
Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterativ...
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Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterative stream of developer-user interactions that is replacing older approaches to testing and evaluating new military systems, which promise to reduce the time required to develop and field future military capabilities. Changes to the acquisition process, such as those the paper sketches, will facilitate the nation's rapid transit through its current revolution in military affairs.
A revolution is underway in the design, production and installation of the Navy/Marine Corps team's command, control, communications, computers and intelligence ((CI)-I-4) vision and strategies, which is significa...
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A revolution is underway in the design, production and installation of the Navy/Marine Corps team's command, control, communications, computers and intelligence ((CI)-I-4) vision and strategies, which is significantly reducing costs, and dramatically improving the battle readiness of tomorrow's forward deployers. A strong emphasis on research and development has enabled the design, development and installation of the Shipboard Modular Arrangement Reconfiguration Technology (SMART) systems in ships. SMART is a methodology for installing equipment in shipboard spaces that will provide the fleet with enhanced mission flexibility. The heart of this technology is a track rail system, similar to that used by the aircraft industry, which enables equipment to be bolted to the deck, bulkheads or overhead, and meets all shipboard shock and vibration requirements. The fleet can reconfigure designated spaces to receive new systems, install equipment upgrades, position cross-decked systems, or rearrange work areas with minimal industrial work (welding, grinding, lagging, painting, etc.), and maximum cost savings. Key (CI)-I-4 spaces such as Tactical Flag Command Center (TFCC), Joint Operations Center (JOC), Communication Centers, etc., can be reconfigured as required. Thereby, new technology insertion can enable rapid deployment of state-of-the-art technologies much faster than the standard method of welding foundations in place to support various equipment installations. The SMART system includes a foundation track system, modular-connectorized power and lighting, and modular workstations.
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