作者:
WU, CHWANG, BCCDr. Chih Wu received his Ph.D. in mechanical engineering from the University of Illinois in January 1966. Presently
he is a full professor in the Department of Mechanical Engineering at the U.S. Naval Academy. Since 1966 he has had more than 250 articles and papers presented at professional meetings and published in various journals and technical magazines concerning the subjects of energy thermodynamics heat transfer fluid dynamics computer science and education. Dr. Baochuan Hwang is a research specialist with the David Taylor Naval Ship R&D Center in Annapolis
Maryland. He is responsible for the research activities in the Power Systems Division of the Propulsion and Auxiliary Systems Department at the Annapolis Laboratory. Prior to his employment with the Navy Dr. Hwang worked in industry at the General Electric Corporate R&D Center and at Aerochem Research laboratory. Dr. Hwang has worked extensively in the areas of machinery thermal systems rocket propulsion and heat transfer. His current interest is in the area of unsteady 3-D internal flows especially related to acoustic flow relationships in small rotating machinery.
The thermodynamic performance of an energy conversion device may be improved potentially by using a nonazeotropic mixture in a vapor cycle. A nonazeotropic mixture has a temperature distribution parallel to that of th...
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The thermodynamic performance of an energy conversion device may be improved potentially by using a nonazeotropic mixture in a vapor cycle. A nonazeotropic mixture has a temperature distribution parallel to that of the surrounding fluid with which heat transfer takes place during the evaporation and condensation processes. Interest has increased in recent years in the use of nonazeotropic refrigerant mixtures to improve the performance of energy conversion devices. This report surveys developments in nonazeotropic energy conversion, describes the theory of a nonazeotropic energy conversion cycle, predicts energy savings possible from use of nonazeotropic energy conversion devices, and discusses potential naval shipboard application of such an energy conversion cycle.
We have implemented Smalltalk-80 on an instructionlevel simulator for a RISC microcomputer called SOAR. Measurements suggest that even a conventional computer can provide high performance for Smalltalk-80 by abandonin...
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WYSIWIS (What You See Is What I See) is a foundational abstraction for multi-user interfaces that expresses many of the characteristics of a chalkboard in face-to-face meetings. In its strictest interpretation, it mea...
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Cognoter is a program helps a cooperating group of people to organizing their thoughts for a presentation, e.g., a paper or talk. It is designed for use in the Colab, an experimental laboratory created at Xerox PARC t...
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A common task in computer vision is to recognize the objects in an image. Most computer vision systems do this by matching models for each possible object type in turn, recognizing objects by the best matches. This is...
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A common task in computer vision is to recognize the objects in an image. Most computer vision systems do this by matching models for each possible object type in turn, recognizing objects by the best matches. This is not ideal, as it does not take advantage of the similarities and differences between the possible object types. The computation time also increases linearly with the number of possible objects, which can become a problem if the number is large. This paper describes a new recognition method, the feature indexed hypotheses method, which takes advantage of the similarities and differences between object types, and is able to handle cases, where there are a large number of possible object types, in sub-linear computation time. A two-dimensional occluded parts recognition system using this method is described.
Navigation planning is one of the most vital aspects of an autonomous mobile robot. The problem of navigation in a completely known obstacle terrain is solved in many cases. Comparatively less number of research resul...
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Navigation planning is one of the most vital aspects of an autonomous mobile robot. The problem of navigation in a completely known obstacle terrain is solved in many cases. Comparatively less number of research results are reported in literature about robot navigation in a completely unknown obstacle terrain. In recent times, this problem is solved by imparting the learning capability to the robot. The robot explores the obstacles terrain using sensors and incrementally builds the terrain model. As the robot keeps navigating, the terrain model becomes more learned and the usage of sensors is reduced. The navigation paths are computed by making use of the existing terrain model. The navigation paths gradually approach global optimality as the learning proceeds. In this paper, we present concurrent algorithms for an autonomous robot navigation in an unexplored terrain. These concurrent algorithms are proven to be free from deadlocks and starvation. The performance of the concurrent algorithms is analyzed in terms of the planning time, travel time, scanning time, and update time. The analysis reveals the need for an efficient data structure for the obstacle terrain in order to reduce the navigation time of the robot, and also to incorporate learning. The modified adjacency list is proposed as a data structure for the spatial graph that represents the obstacle terrain. The time complexities of various algorithms that access, maintain, and update the spatial graph are estimated, and the effectiveness of the the implementation is illustrated.
This paper describes a computer integrated engineering system for design and life cycle management of weapons systems, ships and other multidisciplined systems. All engineering data are stored in a central engineering...
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This paper describes a computer integrated engineering system for design and life cycle management of weapons systems, ships and other multidisciplined systems. All engineering data are stored in a central engineering database. Individual application databases define and process information necessary for specific discipline evaluations. Interface modules between the application databases and the engineering database ensure that the entered data are complete, consistent, compatible, and in compliance with requirements. Conflicts are immediately identified and efficiently resolved. Implementation of the system improves design quality and reduces costs by minimizing the number of design iterations, reducing the effort to implement changes, providing effective storage and retrieval, and reducing the need for ship checks prior to modifications and alterations.
A hybrid approach to speaker-dependent isolated word recognition is discussed. The approach merges speaker-specific information obtained from a single training utterance with multisection vector quantization codebooks...
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A hybrid approach to speaker-dependent isolated word recognition is discussed. The approach merges speaker-specific information obtained from a single training utterance with multisection vector quantization codebooks that were designed for speaker-independent recognition. The approach provides easily trained, computationally efficient, and accurate isolated word recognition. On the digits, the approach achieved an error rate less than 1 percent.
An application of source coding to speaker recognition is described. The method is text-dependent - the text spoken is known, and the problem is to determine who said it. Each speaker is represented by a sequence of v...
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An application of source coding to speaker recognition is described. The method is text-dependent - the text spoken is known, and the problem is to determine who said it. Each speaker is represented by a sequence of vector quantization codebooks; known input utterances are classified using these codebook sequences and the resulting classification distortion is compared to a rejection threshold. On a 16 speaker test population with an additional 111 imposters, this method achieved a false rejection rate of 0.8%, an imposter acceptance rate of 1.8%, and within the 16 speakers, an identification error rate of 0.0%.
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