Three alternative bio-inspired approaches are proposed to investigate telecommunication system reliability and defect tracking. They employ a recent model for the failure discovery in the associated system software. T...
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Three alternative bio-inspired approaches are proposed to investigate telecommunication system reliability and defect tracking. They employ a recent model for the failure discovery in the associated system software. These are: half-sibling and a clone (HSAC) genetic algorithm; a recurrent dynamic neural network (RDNN) requiring parametric adjustments and using wavelets as basis; another RDNN with Adaptive parameters to incoming stream of input data, such that the error in failure intensity is minimized, subject to the model constraints. Each approach aims to improve speed of convergence, reliability, noise tolerance, and suitability for hardware implementation. Simulation results seem to favor the ARDNN since it iterates (about 10) on the shape of the wavelet basis and provide adequate recovery of the data in the form of piecewise linear differential.
RapidHDL is introduced as a new object oriented hardware description library for C# developers. RapidHDL seeks to speed up FPGA development by applying best practices used in software engineering to increase productiv...
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RapidHDL is introduced as a new object oriented hardware description library for C# developers. RapidHDL seeks to speed up FPGA development by applying best practices used in software engineering to increase productivity. Logic is rapidly defined in component classes using a structure of truth-table definitions, sink nodes, source nodes, and pass-through nodes. Hardware simulation co-runs with C# programs, and a linked-list of clock events simulates propagation delays. A standardized testing framework allows the developer to write test benches, hardware, and software in a single language. Algorithms are presented to automatically transform RapidHDL objects to Verilog netlist that can be synthesized by calling 3rd party tools
Presented herein is an efficient simulation technique enabling systematic investigation of the soft programming over-erased flash EEPROM cells. The simulation provides a method by which to find the optimal soft progra...
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The timely detection and classification of biological agents in a hostile environment is critical for increasing protection in critical areas. This paper proposes a strategy for identifying biological agents via distr...
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The timely detection and classification of biological agents in a hostile environment is critical for increasing protection in critical areas. This paper proposes a strategy for identifying biological agents via distributed sensors with an artificial immune system (AIS). The proposed system is composed of networked sensors and nodes, communicating via wireless or wired connections. Measurements are continually taken via dispersed redundant sensors strategically placed in threat areas. These sensors continually measure and categorize air or liquid samples, alerting surrounding nodes when possible biological agents are detected. Detection is based upon the biological immune system (BIS) model of antigens and antibodies, and alerts are generated when a measured sample is determined to be a valid biological agent (antigen). Biological agent signatures (antibodies) are continually distributed throughout the system to adapt to changes in the environment or to new antigens.
A 11", 2.4GHz fully integrated CMOS Low Noise Amplifier (LNA) including the 50O. referenced input output matching networks is implemented using 0.18µm technology within a chip area of 4.1mm2. The amplifier h...
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Bio-inspired systems utilizing neural networks (NNs) and genetic algorithms (GAs) are presented for communications, networking information dissemination, and real-time control in signal perception and processing (SPP)...
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ISBN:
(纸本)0972842209
Bio-inspired systems utilizing neural networks (NNs) and genetic algorithms (GAs) are presented for communications, networking information dissemination, and real-time control in signal perception and processing (SPP). VLSI and nano circuits and systems will provide affordable, reproducible, and reliable front-end high performance SPP. Sample applications are presented for integrated intelligent E-Nose systems, and Communication systems which include: i-Self-Organizing feature Map for discovery, ii- Recurrent Dynamic Neural Networks (NNs), with output neurons feedback and feed forward arrays for noisy signals, iii- Reinforcement NNs for applications with only key features, rather than a known model, iv- Spiking NNs that adjust their synapses subject to changes in the environment, and v- Genetic Algorithms for characterization and optimization.
A 1V, 2,4GHz fully integrated CMOS Low Noise Amplifier (LNA) including the 50Ωreferenced input output matching networks is implemented using 0.18μm technology within a chip area of 4.1mm . The amplifier has the nois...
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A 1V, 2,4GHz fully integrated CMOS Low Noise Amplifier (LNA) including the 50Ωreferenced input output matching networks is implemented using 0.18μm technology within a chip area of 4.1mm . The amplifier has the noise figure (NF) of 3.8dB and a forward gain of more than 20dB. The details of the LNA analysis and design procedure are presented in this paper
A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit fu...
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A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained
The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability t...
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The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability to apply and use multidisciplinary skills for the design and performance evaluation of a "biosystem on a chip". The need for the architectural design of the BioSoC addresses the next-generation of intelligent information processing systems.
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