Search

Finger vein recognition has become a popular biometric technology due to its security and convenience. However, quality degradation of images, especially the arbitrariness of finger placement during acquisition that makes venous areas scaled, translated and rotated, often seriously decrease the rate of the recognition. To solve the problem, a finger vein recognition method based on Hessian-Affine operator is proposed in this paper. First, the region of interest (ROI) is extracted from the raw image followed by a gray scale unevenness correction for image enhancement. All affine invariant feature points extracted by Hessian-Affine operator and described by SIFT descriptor are subject to feature matching. Experiments on MLA data set published by Shandong University and its expansion set show that the Hessian-Affine feature is robust to the translation, scale, rotation and illumination changes of the vein region that helps vein recognition.

Access authentication is a key technology to identify the legitimacy of mobile users when accessing the space-ground integrated networks (SGIN). A hierarchical identity-based signature over lattice (L-HIBS) based mobile access authentication mechanism is proposed to settle the insufficiencies of existing access authentication methods in SGIN such as high computational complexity, large authentication delay and no-resistance to quantum attack. Firstly, the idea of hierarchical identity-based cryptography is introduced according to hierarchical distribution of nodes in SGIN, and a hierarchical access authentication architecture is built. Secondly, a new L-HIBS scheme is constructed based on the Small Integer Solution (SIS) problem to support the hierarchical identity-based cryptography. Thirdly, a mobile access authentication protocol that supports bidirectional authentication and shared session key exchange is designed with the aforementioned L-HIBS scheme. Results of theoretical analysis and simulation experiments suggest that the L-HIBS scheme possesses strong unforgeability of selecting identity and adaptive selection messages under the standard security model, and the authentication protocol has smaller computational overhead and shorter private keys and shorter signature compared to given baseline protocols.

Talent allocation, as a vital part of talent strategies, plays an important role in improving the utilization of talents. However, it has encountered the problems, such as the lack of talent supply, low rate of talent utilization, etc. To realize the optimal allocation of talents, a best-fitted talent optimal allocation mechanism is proposed. In this mechanism, the concepts of talent-post match degree and talent utilization rate are introduced as evaluation criterion of talent optimal allocation. Meanwhile, time sequence model is applied to explore the distribution law of talents and predict number of talents in the future. Based on the talent demand and the number of talents predicted by time sequence model, a dynamic planning algorithm is adopted after formula derivation to recommend best-fitted talents list. Experimental results show that this best-fitted talent recommendation mechanism possesses higher utilization and is of use to the government department in talent management.

Underwater vehicles are weight-sensitive structure for its balance requirement of buoyancy and gravity in water. Composite material which has an excellent specific strength and stiffness is stable against the chemical reaction. Besides, composite structure has excellent sound absorption properties. This paper studies the optimal calculation process that decreases the structure weight of an autonomous underwater vehicle which has a novel integral structure made of carbon fiber under the prescriptive working conditions. Based on the statistical techniques, a strategy of response surface model for AUV structure design is proposed. Genetic algorithm was used for the optimization using response surface model instead of the finite element analysis, and the number of carbon fiber layer in the different locations of the integrative structure is calculated finally.

This paper presents an efficient intra mode decision scheme for down-sizing video transcoding in H.264 using support vector machines (SVMs). In order to reduce the high computational complexity of intra prediction in the H.264 re-encoder, the proposed scheme uses SVMs to exploit the correlation between coding information extracted from the input high-resolution bit-stream and the coding modes of macro-blocks in down-sized video, and turns the intra mode decision problem into pattern classification problem to achieve low complexity video transcoding framework. After the SVMs classifier, improbable modes are eliminated and only a small number of candidate modes are carried out using the RDO operations. Hence, remarkable computing time of up to 65.3% can be saved with trivial bit gain and quality loss.

H.264/AVC is a high performance video coding standard with higher compression and better network compatibility, which not only has important theoretical value but also shows wild application prospect. In order to reduce its computational complexity and achieve real-time application requirements, a multi-stage fast intra mode decision algorithm is proposed. In the first stage, we choose the optimal mode from intra 4×4 and intra 16×16 by extracting the spatial features of macro-block using two-dimension histogram, in combination with double-threshold algorithm. In the second stage, the nine prediction directions in intra 4×4 mode are divided into two groups and the optimal group is selected by pre-determination algorithm before coding. Experimental results show that the proposed algorithm reduces the coding time effectively with little degradation of image quality.

Online advertising plays more important role in 21st century. Scholars pay much attention on how to bid in sponsored search auction. While few research have been done on advertisers facing mixed pricing mechanisms and need to compete in product market. Base on game theory, we set advertisers' Ad channel choice model by taking competition in product market into consideration. The comparison of heterogeneous advertisers profit under two kinds of pricing mechanism — auction vs posted price when the advertisers know a certain consumers' search, click behavior pattern and purchase decision rule shows as the cost to provide high quality product reduce, High quality product advertiser prefers auction mechanism, while Low quality product advertiser prefers posted price. When consumers' search cost are decrease, namely, the proportion of consumers who would like purchase after comparison increase, the advertisers prefer posted price mechanism simultaneously.

This paper presents an efficient algorithm on video shot segmentation of the adaptive threshold. First of all, the features of the images color and texture will be extracted by using the wavelet transform, then the mutation and gradual shot boundary detection will be achieved by utilizing the information entropy. According to the difference distribution of the sliding window, the local threshold will be calculated dynamically. And the degree of accuracy on the video shot segmentation algorithm is increased. This method can not only detect the mutation shots but also the gradual shots. The experimental results show that this algorithm method can efficiently deal with the video shot segmentation.

This paper introduces a design solution of UHF reader based on AS3991 and the selection for key parts is finished. The paper expatiates the hardware structure, working flow and software design. The UHF reader operates at the frequency of 912MH, it can support the mainstream standards of 900MHz RFID EPC Gen2 and ISO18000–6C/6B. Using the internal PA and internal VCO which integrated on the RF chip, the reader has the advantages of small size, high integration and low cost. The realization results prove that the reader's communication distance is more than 2m. The design of UHF reader can meet the practical application need.

RFID (Radio Frequency Identification) and WSN (Wireless Sensor Network) are technologies that be widely used and have a profound impact on human society. This paper puts forward a WSID identification platform of heterogeneous network which integrates wireless sensor networks technology, RFID technology, GIS location technology together. The platform uses dual-frequency-and-dual-protocol RFID readers to identify the Smart Tags and RFID tags in the network and collect the tags positioning and environmental information. GIS technology can display the Smart Tags' location information through the electronic map in real time, realizing monitoring as well as the positioning of the entire network. This paper introduces the structure and the components of WSID heterogeneous network, describes the working principle of the platform as well as the communication flow of each module.

This paper presents a fast variable block size selection method for inter macro-blocks in H.264 video downsizing transcoding. It makes use of the relationship between motion direction and edge direction of macro-blocks, and selects the optimal inter mode by measuring the dominant edge direction using the residual macro-block. Without fully decoding the compressed high resolution video, Discrete Cosine Transform coefficients were extracted and reused in transform domain to construct the residual macro-block. Based on the measurement of dominant edge direction, only a small number of inter-modes are required for Rate Distortion Optimal evaluation. Experimental results show that the proposed method can reduce the computational complexity dramatically with little compression performance degradation.

We propose a dynamical model to study the dynamical mechanism of the negative feedback loop composed of p53 and Mdm2 proteins regulated by p14/19ARF. The different oscillatory behaviors for the activities of p53 and Mdm2 proteins regulated by p14/19ARF in individual of cells are described in our dynamical model. The results help us build a basal network about oscillatory behaviors between p53, Mdm2 and P14/19ARF. The dynamical model on p53-Mdm2 feedback loop regulated by p14/19ARF and its numerical results will help us understand the oscillatory behavior of p53, Mdm2 and P14/19ARF more deeply and rationally. It is also give a good model to study the relations among the network of different protein within cell.

Pressure force loading experiment for shell of spacecraft is significantly important for safe flying. Mathematic model of automatic hydraulic loading system for the shell of spacecraft is developed in this paper. In accordance with the highly nonlinear characteristic of plant, a two-level fuzzy controller is applied. The first level is a traditional fuzzy PD controller, and the other level can adjust output proportional factor of fuzzy PD controller based on the pressure of system. In order to avoid rule explosion in designing of high-dimension fuzzy controller, complement fuzzy rules is constructed to approximate linear controller in small error scale, then ant colony algorithm is employed to select optimize fuzzy rule set in complement rule base, and the time window is adopted in ant colony algorithm to ensure the continuous of selected rules. Experiment results show the good performance of this approach.