The AEGIS Weapon system's Operational Readiness Testsystem (ORTS) was the predecessor to current Integrated Diagnostic systems. Evolving from cost effective, diagnostic mix modeling and analysis, it optimally int...
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ISBN:
(纸本)0780306465
The AEGIS Weapon system's Operational Readiness Testsystem (ORTS) was the predecessor to current Integrated Diagnostic systems. Evolving from cost effective, diagnostic mix modeling and analysis, it optimally integrated the diagnostic apparatus of the era with AEGIS weapons. As such system's target the 21st century, more complete integration can be achieved. An entire ship, including weapon system, hull mechanical and electrical systems, and propulsion systems can be serviced by a single Integrated Diagnostic system.
This paper considers the problem of resource allocation in a short-range TDMA wireless network. In particular, it proposes and discuss a resource allocation algorithm and associated protocol for enhancing the capacity...
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The RACE Advanced Mobile Access (ATDMA) project is considering the application of advanced TDMA techniques for the design of the Radio Access system for UMTS. In the context of this work the project has identified the...
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Adaptive training of a neural network for nonstationary processes is reported within the framework of a multilayer perceptron model using the backpropagation (BP) algorithm. The error introduced by small changes in sy...
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The strategies for solving non-linear problems can be classified into two classes of deterministic and stochastic methods. One representative of each class, the Conjugate Gradient Method (CGM) and the Evolution Optimi...
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The strategies for solving non-linear problems can be classified into two classes of deterministic and stochastic methods. One representative of each class, the Conjugate Gradient Method (CGM) and the Evolution Optimi...
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ISBN:
(纸本)094682147X
The strategies for solving non-linear problems can be classified into two classes of deterministic and stochastic methods. One representative of each class, the Conjugate Gradient Method (CGM) and the Evolution optimization (EVO), are compared with respect to storage requirements and convergence behavior. Both methods are used to determine the modeling parameters of a GaAs-MESFET from measured S-parameters. Although both algorithms lead to the same result it was found that the CGM is about 5 times faster than the EVO.
The authors describe the preliminary results of a rule-based and hypertext system developed to aid the telecommunication analyst to more advantageously use MIND-Data in network design and cost analysis processes. The ...
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ISBN:
(纸本)0780302222
The authors describe the preliminary results of a rule-based and hypertext system developed to aid the telecommunication analyst to more advantageously use MIND-Data in network design and cost analysis processes. The software package MIND-Data is an interactive tool designed to help network designers experiment with different alternatives to achieve the best compromise between time-response requirements and network cost. The objectives pursued in the present work include providing intelligent online help support for the MIND-Data user evaluating the general requirements for the network, and providing critic cost analysis for specific parts of the network.
This paper addresses physics-based design and yield optimization of MMICs. Multidimensional statistical models are considered for the physical, geometrical and process-related parameters of active and passive devices....
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This paper addresses physics-based design and yield optimization of MMICs. Multidimensional statistical models are considered for the physical, geometrical and process-related parameters of active and passive devices. An efficient gradient-based yield optimization technique is employed. The yield of an X-band amplifier is improved from 47.5% to 78.5%.
In order to meet the challenging thermal analysis needs of Space station Freedom and other proposed Space Exploration Initiative missions, a new generation of thermal analysis tools, utilizing the latest advances in u...
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In 1989 NASA Ames Research Center (ARC) began development of the life Support Database system. This work has progressed through initial requirements analysis, data relationships modeling, and documentation of a detail...
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