作者:
Flynn, JEBryant, RERUSSELL E. BRYANT is the leader for future decoy development in the Surface Electronic Warfare Systems Program Office
Program Executive Office for Theater Surface Combatants. In 2000 he was selected as “Outstanding Alumni for Organizational Contribution” Executive Potential Program Leadership Development Academy USDA Graduate School. He is a retired reserve lieutenant commander commissioned in 1976 from the Rensselaer Polytechnic Institute NROTC program with a bachelors of engineering in nuclear engineering and minor in history and political science. He graduated in 1997 from the Naval War College College of Naval Command and Staff through the Non-Resident Seminar Program. He graduated in 1999 from the USDA Graduate School Leadership Development Academy Executive Potential Program. He is a member of the Defense Leadership and Management Program (DLAMP) 2000 Cohort. He is currently completing a one year rotation in the Office of Technology Transition of the Under Secretary of Defense (Acquisition Technology and Logistics). JOHN E. FLYNN is a captain in the naval reserve and has completed his fourth command tour. He recently served as the battle force operations and engineering leader for PEO Theater Surface Combatants participation in Joint and service wargames
exercises and experiments. Previously he was the first head of modeling and simulation in the AEGIS Program Office where he pioneered the use of distributed modeling and simulation. He served at NSWC White Oak as head of the system design and technical direction agent groups for the MK 116 Mod 7 ASW control system. He graduated from Villanova University and was commissioned via NROTC. He served sea duty aboard USS Forrestal (CV-59) and USS Coontz (DDG-40).He has a BS in computer science from the University of Maryland. He graduated with highest distinction from the Naval War College. He completed Old Dominion University's strategic studies graduate program. He is a Catholic University Law School graduate and member of the Maryland Bar.
As the current review of Department of Defense (DOD) structures, capabilities, and plaits are coming to completion and moving into implementation phases, a focus to maintain is the delivery of mission capabilities for...
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As the current review of Department of Defense (DOD) structures, capabilities, and plaits are coming to completion and moving into implementation phases, a focus to maintain is the delivery of mission capabilities for the front line warfighters. The mission capabilities packages are supported by the material, and also by the materiel support process, which includes not only the hardware, but more importantly the people, training, maintenance and support, and the doctrine, concepts of operations, tactics, techniques, and procedures for the material. Following an updated discussion on operational engineering, this paper expands the authors' concept of operational engineering, to several applied logistics options and discussions in support of rapid decisive operations. It finishes with an introductory discussion of a logistics commander operational planning tool, which potentially can support and enable generation of rapid decisive operations. This tool could assist combatant commanders and their warfighters to operate inside the decision cycle of opponents on the front lines. Further, the concepts addressed align with the Quadrennial Defense Review 2001 task: to "Provide sufficient mobility, including airlift, sealift, prepositioning, basing infrastructure, alternative points of debarkation, and new logistical concepts of operations, to conduct expeditionary operations in distant theaters against adversaries armed with weapons of mass destruction and other means to deny access to U.S. forces" [emphasis added](QDR 2001).
Wireless networks represent the new computer paradigm. They have as main function to provide users with permanent access, independently of their physical location. With the decrease in the costs of portable devices an...
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We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to...
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We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to predict numerical values. The FMP can be seen as an extension of the fuzzy Bayes predictor (FBP) that was modified from the naive Bayes classifier. For verifying the efficiency of the FMP's prediction, we compare it with the FBP, one fuzzy system and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.
Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems ...
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Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central Control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.
Wireless networks represent the new computer paradigm. They have as main function to provide users with permanent access, independently of their physical location. With the decrease in the costs of portable devices an...
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Wireless networks represent the new computer paradigm. They have as main function to provide users with permanent access, independently of their physical location. With the decrease in the costs of portable devices and the increase in their capacity, a new concept called ad hoc network appeared. Through this technology, communication is made directly between mobile computers. In this paper, the proposal and validation of a mechanism based on the bandwidth management principle are done to guarantee QoS (Quality of Service) in ad hoc wireless networks. Therefore, a software is developed to simulate ad hoc environments, making connections following the approach of the already proposed mechanism. Several experiences demonstrating the advantages of this method were carried out. They proved that this method guarantees a better use of the transmission channel and, at the same time, accepts more connections.
One of the main reasons why the development of software does not meet the client's need is the lack of understanding of the software's real objective, and consequently, the tasks it should perform and how they...
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ISBN:
(纸本)1581135564
One of the main reasons why the development of software does not meet the client's need is the lack of understanding of the software's real objective, and consequently, the tasks it should perform and how they should be performed. With this assumption, we have defined a structure to represent the task knowledge which supports software engineers in understanding problems starting from the understanding of the tasks which comprise these problems. This structure combines task ontologies and problem solving methods, providing the developer with the necessary task knowledge to guide him throughout the development process. This article shows how task knowledge is defined and used to help the development of software, presenting as an example, use cases modeling. Copyright 2002 ACM.
We describe an integrated Bayesian solution to find a left ventricle model, including both epicardium and endocardium surfaces, from freehand 3-D echocardiographic images. The observed images and prior shape knowledge...
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We describe an integrated Bayesian solution to find a left ventricle model, including both epicardium and endocardium surfaces, from freehand 3-D echocardiographic images. The observed images and prior shape knowledge are combined to make the most consistent inference about unknown surface models using the maximum à posteriori rule. Typical model-based computer vision techniques divide the overall problem into two separate low- and high-level subproblems. Unlike previous approaches, our approach unifies these two levels through a pixel class prediction mechanism. A putative surface model is generated from a catalog of 86 representative surface models. For each observed pixel, its appearance probability profile from different classes is first computed. Then the class prediction probability profile is also computed, based only on the putative surface model. An optimal surface model has the best overall match between these two profiles for all the pixels. The probability models are obtained off-line by the expectation maximization algorithm from 20 training studies. Quantitative experimental results on 25 test studies show the advantage of the integrated approach.
We describe an integrated Bayesian solution to find a left ventricle model, including both epicardium and endocardium surfaces, from freehand 3-D echocardiographic images. The observed images and prior shape knowledge...
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We describe an integrated Bayesian solution to find a left ventricle model, including both epicardium and endocardium surfaces, from freehand 3-D echocardiographic images. The observed images and prior shape knowledge are combined to make the most consistent inference about unknown surface models using the maximum a posteriori rule. Typical model-based computer vision techniques divide the overall problem into two separate low and high-level subproblems. Unlike previous approaches, our approach unifies these two levels through a pixel class prediction mechanism. A putative surface model is generated from a catalog of 86 representative surface models. For each observed pixel, its appearance probability profile from different classes is first computed. Then the class predication probability profile is also computed, based only on the putative surface model. An optimal surface model has the best overall match between these two profiles for all the pixels. The probability models are obtained off-line by the expectation maximization algorithm from 20 training studies. Quantitative experimental results on 25 test studies show the advantage of the integrated approach.
A main issue in collaborative learning is providing support and monitoring both the individual learners and the group activities. In this sense, there is a variety of functions that might be accomplished by a collabor...
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