作者：
PACE, DKMORAN, DDDale K. Pace
Th.D.:is a member of the Principal Professional Staff of The Johns Hopkins University Applied Physics Laboratory (APL). He currently serves as the APL liaison with the Naval War College where as an adjunct professor he conducts a course on technology and naval warfare. He also teaches in the graduate technical management curriculum of the Whiting School of Engineering at The Johns Hopkins University. His professional responsibilities have included various leadership roles in the Military Operations Research Society the Summer Computer Simulation Conference and simulation conferences in Japan and China the American Society of Engineering Management and chairmanship of the ASNE Journal Committee. David D. Moran
Ph.D.:is assistant technical director of the David Taylor Research Center. He also holds the position of adjunct full professor at The George Washington University. Dr. Moran is a graduate of MIT and the University of Iowa in the fields of hydrodynamics and naval architecture. His current responsibilities for the David Taylor Research Center involve long range development of advanced technical and management interactions and strategic planning for the future role of the Center in the Navy RDT&E Laboratory system.
Wise investment of Department of Defense research and development (R&D) resources is becoming increasingly important. R&D policymakers and managers use a variety of means to guide their decisions. This paper d...
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Wise investment of Department of Defense research and development (R&D) resources is becoming increasingly important. R&D policymakers and managers use a variety of means to guide their decisions. This paper discusses one of them: technology gaming. Technology gaming is a complement to traditional methods of technology forecasting, with technology gaming providing insights about constraints imposed upon advanced systems and technologies by operational environments and about their interactions with one another. The potential and practice of technology gaming are described, drawing upon experiences acquired from several technology gaming endeavors in 1988, including the Technology Initiatives 88 Game (TIG-88) performed at the Naval War College under the joint-sponsorship of the Office of Research, Development, and Acquisition in OpNav (OP-098) and the Naval War College.
The objective of this paper is to develop an innovative 3-D objects recognition algorithm which solves correspondence problem and reduces computational cost for recognition. Correspondency between features of unknown ...
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The objective of this paper is to describe some of the intermediate results on the 3-D curved object recognition and verification using 3-D range data. A representation of a 3-D curved object is extracted from a compl...
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A robotically assisted field material handling system designed for loading and unloading of a planar pallet with a forklift in unstructured field environment is'presented The system uses combined acoustic/visual s...
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An expert system is being implemented for enhancing operability of the Ground Communication Facility (GCF) of Jet Propulsion laboratory's (JPL) Deep Space Network (DSN). The DSN is a tracking network for all of JP...
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The authors introduce two techniques for computing the reliability of a distributed computing system (DCS). The first scheme uses two steps and requires enumeration of multiterminal connections which, in turn, leads t...
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The authors introduce two techniques for computing the reliability of a distributed computing system (DCS). The first scheme uses two steps and requires enumeration of multiterminal connections which, in turn, leads to the reliability expression. The second technique, called FARE (Fast Algorithm for Reliability Evaluation), does not require an a priori knowledge of multiterminal connections for computing the reliability expression. A performance parameter called the communication cost index (CCI) is defined. The authors compare algorithms with an existing method in terms of computer time and memory requirement. The results show that FARE outperforms two-step methods.< >
Board-level diagnostic techniques by signature analysis based on single-error-correcting Hamming codes over GF(2/sup M/) (where M is the number of outputs per chip) are presented. Two techniques are considered: the sp...
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Board-level diagnostic techniques by signature analysis based on single-error-correcting Hamming codes over GF(2/sup M/) (where M is the number of outputs per chip) are presented. Two techniques are considered: the space-time compressor technique for the case when responses from N chips on the board are wired to the compressor; and the time compressor technique for the case when test responses from each chip are transferred to the compressor via system bus. Assuming a single-faulty-chip model, a faulty chip on the board under test is located by an analysis of the relationship between the distortions in the obtained signatures. Both techniques for board-level diagnosis require less hardware than the straightforward diagnostic techniques using a built-in signature analyzer for every chip or selective testing of each chip via the system bus, hence offering an efficient approach for a design of a built-in-self-test board for for manufacturing testing.< >
The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various extern...
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The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various external sensors. These include overhead vision, eye-in-hand vision, proximity, tactile array, position, force/torque, crossfire, overload, and slip sensing devices. The efficient fusion of data from different sources will enable the machine to respond promptly in dealing with the real world. Towards this goal, the general paradigm of a sensor data fusion system has been developed, and some simulation results as well as results from the actual implementation of certain concepts of sensor data fusion have been demonstrated.< >
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