It is a developing job to distinguish identifications with information fusion of fingerprints and palm prints. It is also a very effective way to resolve the problem of low identification rate and low stability of sin...
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It is a developing job to distinguish identifications with information fusion of fingerprints and palm prints. It is also a very effective way to resolve the problem of low identification rate and low stability of single biology characteristic identification. Based on the theory of fuzzy logic theory, we bring out the method of obfuscating weigh coefficient and reliability to fuse the information of fingerprints and palm prints to realize high identification rate. The experiment proves the feasibility and effectiveness of this method and the identification rate can be more than 90%, which contributes useful experience to the research of identification using biology characteristics.
An adaptive target queue length (ATQL) adjustment algorithm proposed in this paper cooperates with certain Active Queue Management (AQM) controllers to achieve more efficient buffer management for Internet congestion ...
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ISBN:
(纸本)0977520005
An adaptive target queue length (ATQL) adjustment algorithm proposed in this paper cooperates with certain Active Queue Management (AQM) controllers to achieve more efficient buffer management for Internet congestion control. ATQL algorithm which estimates the average traffic load and dynamically adjusts the target queue length in dynamic traffic environment can be easily embedded into a series of AQM controllers. By engaging ATQL, AQM controllers are more suited to random and unpredictable traffic scenarios. Simulations are applied to validate ATQL's ability in assisting AQM controllers in sustaining stable drop probability, minimizing unnecessary packet loss, guaranteeing the link utility and maximizing the exploitation of buffer spaces.
Flow-level traffic measurement is important for network management. The widely used centralized per-flow measurement faces a great challenge due to the demanding requirement on both memory bandwidth and memory size wi...
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The climate in modern livestock production buildings is controlled using a simple state controller. State controllers are typically not equipped to handle abnormal situations, e.g. sensors providing false or no readin...
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The key to the wavelet based denoising teehniquea is how to manipulate the wavelet coefficients. By referring to the idea of Inclusive-OR in the design of circuits, this paper proposes a new algorithm called wavelet d...
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The key to the wavelet based denoising teehniquea is how to manipulate the wavelet coefficients. By referring to the idea of Inclusive-OR in the design of circuits, this paper proposes a new algorithm called wavelet domain Inclusive-OR denoising algorithm（WDIDA）, which distinguishes the wavelet coefficients belonging to image or noise by considering their phases and modulus maxima simultaneously. Using this new algorithm, the denoising effects are improved and the computation time is reduced. Furthermore, in order to enhance the edges of the image but not magnify noise, a contrast nonlinear enhancing algorithm is presented according to human visual properties. Compared with traditional enhancing algorithms, the algorithm that we proposed has a better noise reducing performanee , preserving edges and improving the visual quality of images.
Simulation has a significant role in controlengineering. It provides the best solution for educating new engineers without expensive experimentation on real systems. This paper presents a guide for constructing simul...
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Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveillance, human motion analysis, etc. Vari...
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A physiological model integrating a pulsatile cardiovascular system model with a model of the pulmonary capillary fluid exchange based on the Starling's equations is proposed in order to analyse the micro-circulat...
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A comparative analysis on vector-controlled induction motor drive with efficiency optimization using a neural-network-based and a model-losses-based approaches as flux estimator is presented in this paper. On-line est...
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For the fault diagnosis of three-phase induction motors, we set up an experimental unit and then develop a diagnosis algorithm based on pattern recognition. The experimental unit consists of induction motor drive and ...
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