There is a lot of applications for DSPs (Digital Signal Processor) in the most rapidly growing areas in the industry right now as wireless communication along with audio and video products are getting more and more popular. In this report, a DSP, developed at the division of Computer Engineering at the University of Linköping, is optimized and verified.Register Forwarding was implemented on a general architecture level to avoiddata hazards that may arise when implementing instruction pipelining in a processor.

The very common FFT alg ....etc

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The user of any system has moral right to get services of expected quality level. To fulfill the requirement of Quality of Services (QoS), mobile system and service provider reserve resources. But this unavoidable reservation results into an inefficient design which requires more power. Therefore, the system must adapt itself with respect to changes in user requirement of QoS. Thus we require a system-on-chip (SoC) architecture which facilitates runtime reconfiguration. Field Programmable Gate Arrays is one that supports aforementioned technolo ....etc

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This paper deals with the methods to find out the margin to restore power system solvability (i.e. how much active and reactive power needs to be reduced so that an unsolvable power system can be brought to a stable operating point). The direction in which we reduce the power is important and is considered in the first method of approaching the closest bifurcation point. In the second method, a minimization technique is adopted to find the active and reactive powers at the buses in the power system if the power system had been operated very clo ....etc

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Neural network is a massively parallel distributed processor made of simple processing units which has a natural propensity for storing experimental knowledge and making it available for us. Neural network are a different paradigm for computing. v Von Neumann machines are based on the processing / memory abstraction of human information processing. v Neural networks are based on the parallel architecture of human brain. For the insulation design of high voltage apparatus, electric field optimization technique becomes indispensable tool. Once th ....etc

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The performance of caching systems in general, and Internet caches in particular, is evaluated by means of the user-perceived service speed, reliability of downloaded content, and system scalability. In this dissertation, we focus on optimizing the speed of service, as well as on evaluating the reliability and quality of data sent to users. In order to optimize the service speed, we seek optimal replacement policies in the first part of the dissertation, as it is well known that download delays are a direct product of document availability at ....etc

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matlab code for semi supervised margin analysis image retrieval ....etc

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Blending is the process of mixing different components to yield a product. Blend optimization and supervisory system (BOSS) is a supervisory controller over the whole blending process in a continuous process industry. It is an application solution, includes the technology and engineering services to achieve maximum product worth at least cost while maintaining specified product quality and satisfying mandated environmental regulations. Linear programming forms a natural technique for optimizing blending operations provided that various quantiti ....etc

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Assessment of SET Logic Robustness Through Noise Margin Modeling

Chaitanya Sathe, Surya Shankar Dan, and Santanu Mahapatra, Member, IEEE

Abstract—
A compact model for noise margin (NM) of single electron transistor (SET) logic is developed, which is a function of device capacitances and background charge (ζ). Noise margin is, then, used as a metric to evaluate the robustness of SET logic against background charge, temperature, and variation of SET gate and tunnel junction capacitances (CG and CT ....etc

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?CAN MACHINES THINK?
Neural network is a massively parallel distributed processor made of simple processing units which has a natural propensity for storing experimental knowledge and making it available for us. Neural network are a different paradigm for computing. v Von Neumann machines are based on the processing / memory abstraction of human information processing. v Neural networks are based on the parallel architecture of human brain. For the insulation design of high voltage apparatus, electric field optimization technique becomes indis ....etc

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This paper deals with the methods to find out the margin to restore power system solvability (i.e. how much active and reactive power needs to be reduced so that an unsolvable power system can be brought to a stable operating point). The direction in which we reduce the power is important and is considered in the first method of approaching the closest bifurcation point. In the second method, a minimization technique is adopted to find the active and reactive powers at the buses in the power system if the power system had been operated very clo ....etc

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