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Based on the analysis of the importance of project termination decision and the review of related research, this paper constructs an R&D project termination decision model based on Kohonen neural network consisting of the principles of a system of evaluation indexes, the quantification of eigenvalues of the evaluating indexes, the basic principle of Kohonen and the establishment and application...
Safe Community growing so fast within the country and around the world, its core sense is to build cross- sectional group, resource integration, full participation and continuous improvement. This article focuses on how to establish and perfect the basic emergency management system in the model of Safe Community: First of all, analyzed the situation and the shortage of our emergency management in...
About the risk evaluation of network security, a new assessment method based on Nonlinear Principal Component Analysis (NLPCA) is given. The principle and process of NLPCA-RBF is introduced in detail. At last, its superiority is indicated by example. It not only can reduce the dimension of input vector, but also can reserve the nonlinear characteristic of the network by nonlinearity. It is a new evaluation...
Managing power consumption in a System-On-Chip (SoC) design is becoming increasingly important. SoCs generally consist of various co-processors. Accurate power estimation of these co-processors at the highest possible abstraction level helps in performing early power-aware design tradeoffs. This paper presents a methodology to create abstract statistical power models for hardware co-processors and...
This work aims to achieve a design of a smart humidity sensor, the goal of this study is to eliminate the non-linearity and the cross sensitivity of the output sensor used. The humidity sensor is a MEMS capacitive kind. Using neuronal networks and Matlab environment we have done the training to design an analytical model ANN and create a model for this component in the PSPICE simulator library, where...
Over the last ten years, face recognition has become a specialized applications area within the larger field of computer vision. Principal component analysis (PCA) and independent component analysis (ICA) become common method for face recognition. This paper compares Principal component analysis (PCA) to independent component analysis (ICA) in face recognition. In this paper, we used PCA derived from...
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