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.
This paper introduces a new Motion-SPM (Smart Power Modules) module in Single In-line Package (SIP), which is a fully optimized intelligent integrated IGBT inverter module for up to 1kW low power motor drive applicati...
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ISBN:
(纸本)9781424418718;9781424418725
This paper introduces a new Motion-SPM (Smart Power Modules) module in Single In-line Package (SIP), which is a fully optimized intelligent integrated IGBT inverter module for up to 1kW low power motor drive applications. This module offers a sophisticated, integrated solution and tremendous design flexibilty. It also takes advantage of pliability for the arrangement of heat-sink due to two types of lead forms. It utilizes non-punch-through (NPT) IGBT with a fast recovery diode and highly integrated building block, which features built-in HVICs and a gate driver that offer more simplicity and compactness leading to a reduced costs and high reliability of the entire system. This module also provides technical advantages such as the good thermal performances through IMS (Insulated Metal Substrate), the high latch immunity. This paper provides an overall description of the Motion-SPM in SIP as well as actual application issues such as electrical characteristics, circuit configurations and power ratings.
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.
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.
Enforcement of the Personal Information Protection Law has quickly stimulated activities aimed at security enhancement. The NEC Networks & systems Integration Corporation is developing an integrated system to conn...
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Enforcement of the Personal Information Protection Law has quickly stimulated activities aimed at security enhancement. The NEC Networks & systems Integration Corporation is developing an integrated system to connect the existing "entrance/exit magament" system with the "tresspassing surveillance" and "image surveillance" systems. Its aim is to implement a system that can record entrances and exits together with images enabling the identification of actual persons. This paper introduces an outline of the flapper gates and image surveillance system that were exhibited at the last EXPO2005.
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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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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An architecture for force and impact control is proposed. Its first objective is to control the robot in free motion until the contact with the environment is made. Next, it should make the transition to constrained a...
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The public security has become an important issue in recent years, especially, the safe manipulation and control of vehicles in preventing the growing number of traffic accident fatalities. Accidents caused by drivers...
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ISBN:
(纸本)9780780393899
The public security has become an important issue in recent years, especially, the safe manipulation and control of vehicles in preventing the growing number of traffic accident fatalities. Accidents caused by drivers' drowsiness have a high fatality rate due to the decline of drivers' abilities in perception, recognition, and vehicle control abilities while sleepy. Preventing such an accident requires a technique for detecting, estimating, and predicting the level of alertness of a driver and a mechanism to maintain the driver's maximum performance of driving. The ICAFNN is a fuzzy neural network (FNN) capable of parameter self-adapting and structure self-constructing to acquire a small number of fuzzy rules for interpreting the embedded knowledge of a system from the given training data set. Our experiments show that the ICAFNN can achieve significant improvements in the accuracy of drowsiness estimation compared with our previous works.
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