In this paper we propose a smart repeater that consumes less energy and is suitable for driving global interconnections in nanometre technologies. When there is coupling between interconnects, the effective capacitanc...
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ISBN:
(纸本)1595932550
In this paper we propose a smart repeater that consumes less energy and is suitable for driving global interconnections in nanometre technologies. When there is coupling between interconnects, the effective capacitance of a given wire is a function not only of the physical geometry, but also the relative switching pattern described by the bits on the wire in question (the victim) and the adjacent wires (aggressors). The drive strength of a traditional repeater is static, resulting in a spread of the propagation delay, with the repeater strength being essentially too much for every bit pattern other than the worst-case pattern. In the proposed SMART repeater, the drive strength is dynamically altered depending on the relative bit pattern, by partitioning it into a Main Driver and Assistant Driver. For a higher effective load capacitance both drivers switch, while for a lower effective capacitance the assistant driver is quiet. By disconnecting part of the repeater when it is not needed, the total load capacitance to the previous stage is reduced, resulting in reduced energy consumption for those instances. It is shown that the potential average saving in energy can be as much 15% with a 18% jitter reduction over a traditional repeater for typical global wire lengths in nanometre technologies. Copyright 2006 ACM.
The paper demonstrate a case study of detailed interference and compatibility analysis of MEASAT networks vis-a-vis affected satellite networks having the orbital separation less than 8deg. For detailed interference a...
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The paper demonstrate a case study of detailed interference and compatibility analysis of MEASAT networks vis-a-vis affected satellite networks having the orbital separation less than 8deg. For detailed interference and compatibly analysis of Measat-SA3 (37deg E) and Paksat-2 (41deg E) for C band uplink and downlink the authors have carried out analysis under ITU-R REC-740. The analysis demonstrates that two collocated satellite networks at the orbital separation of less than 5 degree can be operated in C-band for digital and analog communications without generating and accepting harmful interference (Zulfiqar Ali Leghari, 2005). For smooth and interference free transmission, both of the satellite networks have to be limited in radiating the power in up and down links. The analysis proposes power limits and constraints for both of the satellite systems for smooth and interference communications in both directions
The issue of this paper is to show working status of a robot in the form of face emotion which shows the creation of fuzzy emotion generator. This fuzzy emotion generator uses Takagi-Sugeno (TS) fuzzy system to proces...
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The issue of this paper is to show working status of a robot in the form of face emotion which shows the creation of fuzzy emotion generator. This fuzzy emotion generator uses Takagi-Sugeno (TS) fuzzy system to process input data from heat sensors on CPU and batter indicator into emotional output of a robot for visualization. The visualization system that was built can completely show robot's emotions. The experimental results show the advantages of the application of fuzzy system in presenting the output and its advantages are natural continuation which is the result of successful implementation
As a gradient based optimization algorithm, we introduce PATLIS (PArallel Tangent and heuristic LIne Search) optimization method that can be used as a learning algorithm for MLP neural networks. In typical gradient ba...
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As a gradient based optimization algorithm, we introduce PATLIS (PArallel Tangent and heuristic LIne Search) optimization method that can be used as a learning algorithm for MLP neural networks. In typical gradient based learning algorithms, the momentum rate has usually an improving effect in convergence rate and decreasing the zigzagging phenomena. However it sometimes causes the convergence rate to decrease. The Parallel Tangent (ParTan) gradient can be used as deflecting method to improve the convergence. From the implementation point of view, it is as simple as the momentum. In fact this method is one of the more practical implementation of conjugate gradient. ParTan tries to overcome the inefficiency of zigzagging phenomena of conventional backpropagation by deflecting the gradient through acceleration phase. In this paper, we use two learning rates, η for gradient search direction and μ for accelerating direction through parallel tangent. Moreover, a heuristic line search based on an improved version of dynamic self adaptation of η and μ is used to improve the proposed learning method. In dynamic self adaptation, each learning rate is adapted locally to the cost function landscape and the previous learning rate. Finally we test the proposed algorithm for optimizing Rosenbrock function and for various MLP neural networks including a XOR 2×2×1, Encoder 16×4×16 and finally Parity 4×4×1. We compare the results with those of the dynamic self adaptation of gradient learning rate and momentum (DSη-α) and parallel tangent with dynamic self adaptation (PTDSη-μ). Experimental results for optimizing Rosenbrock function for the first 100 iterations of executions showed the convergence speed of PATLIS is very faster than the other tested methods. Furthermore for MLP problems, the experimental results showed that the average numbers of epochs for PATLIS respect to PTDSη-μ and DSη-α were decreased to around 50% and 66% respectively. Our proposed algorithm also shows a good
This paper proposes a method to predic mobile path loss in forests using MIMO fuzzy logic system. The multi-input was classified into seven input parameters defined as, X1 is number of trees/m2 and X2 to X7 are tree s...
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This paper proposes a method to predic mobile path loss in forests using MIMO fuzzy logic system. The multi-input was classified into seven input parameters defined as, X1 is number of trees/m2 and X2 to X7 are tree structure parameters. These crisp inputs are classified by fuzzifier to fuzzy sets and then inferenced using fuzzy linguistic rule base into multi - output path loss slopes via de-fuzzifier. For this study, we classified the terrains into high-, medium-, low- density and grass area and used the simple linguistic rules for prediction the path loss slopes. We performed measurements in different forest densities at a frequency of 1.8 GHz with base station antenna height in a range of 3, 4, and 5 m above ground while the receiving antenna height was fixed at 1.8 m above ground. The results have shown that fuzzy logic approach provides more accurate prediction of path loss slopes than that of conventional empirical mathematic model. The proposed models will be useful for the local wireless network and micro-cell design of mobile communication systems in forests.
This paper presents a new semi-analytical method for computational electromagnetics. Today, the usual electromagnetic field simulation codes are mainly based on the finite element method (FEM). FEM uses the piecewise ...
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This paper presents a new semi-analytical method for computational electromagnetics. Today, the usual electromagnetic field simulation codes are mainly based on the finite element method (FEM). FEM uses the piecewise low order polynomials to approximate different kind of solution functions. The particular nature of a given problem is not considered, which greatly enhances the method's applicability but depresses the efficiency. In this method, the entire field domain has to be covered with fine mesh, especially in those parts where the field changes sharply, thus requiring a large number of elements (and also unknowns) to calculate the field with sufficient precision. This often makes the codes useless due to the computation cost (CPU time and memory) before some very complex problems. To overcome these limitations, quick and highly efficient techniques are pursued all along. The semi-analytical method is such a direction. The main idea of this scheme is to combine the advantages of both the high efficiency of analytical techniques and the flexibility of numerical methods.
Modern communication environments tend to be complex, dynamic and highly distributed. For the provIsion of messaging in such environments multiple entities, providing different functionalities and located remotely fro...
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ISBN:
(纸本)9783800729616
Modern communication environments tend to be complex, dynamic and highly distributed. For the provIsion of messaging in such environments multiple entities, providing different functionalities and located remotely from each other, must cooperate in order to perform different tasks and provide different kind of information for the completion of the service provision Iifecycle. Within this paper we present an implementation analysis of the communication mechanism which was employed in a distributed brokerage framework for the provision of context aware personalized services. The paper focuses on the inter-broker communication mechanism which enables the transparent interaction between components located in different brokers. The mechanism was designed and implemented having in mind relevant requirements such as transparency, modularity and high availability. The design and implementation was based on web service practices and the SOAP protocol.
Most impressive features of mobile cellular communication network are frequency reuse and handover. In any cell two types of arrival, new originating call and handoff call from surrounding cells. These two arrivals fo...
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Most impressive features of mobile cellular communication network are frequency reuse and handover. In any cell two types of arrival, new originating call and handoff call from surrounding cells. These two arrivals follow two different types of traffic hence any cell in network experiences mixed traffic. This paper deals with mixed traffic of a cell based on Markovian chain with numerical example. Finally mathematical expression of probability state and call blocking is derived from two-dimensional state transition diagram to validate the result
This paper investigates sequential learning method with new form of weight update applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. Adding each basis function to the hidden...
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This paper investigates sequential learning method with new form of weight update applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. Adding each basis function to the hidden layer during the course of training facilitate the weight update to be decomposed on neuron by neuron basis. A new form weight update is introduced where the weight update is based on minimal displacement of the current input elements to the elements of the nearest centre of the Gaussian neuron.
One of the common difficulties in a graph based visual language is to develop its executable semantics and achieved its execution in a distributed environment. In order to address some of these issues, this paper outl...
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One of the common difficulties in a graph based visual language is to develop its executable semantics and achieved its execution in a distributed environment. In order to address some of these issues, this paper outlines the general control flow semantics of a graph based visual language. In doing so, this paper also discusses a sound technique implementing such semantics permitting execution in a distributed environment. An implementation is sketched for a domain specific graph based visual language, called VRPML.
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