We present a novel solution that allows one platform to securely distribute or redistribute digital contents to another in P2P networks. The solution is based on platforms with Trusted Platform Modules (TPMs). It maintains the confidentiality and freshness of digital contents during the processes of distribution. Given an ideal (tamper-proof) trusted platform, the solution can even withstand attacks by dishonest users during the processes of usage. Moreover, it can also be used to redistribute n-time-use digital content offline, so it is more flexible and scalable than other related distribution solutions to enable widespread deployment. Lastly, by adding a few simple features to TPMs, our solution can easily prevent the malicious sender and receiver from colluding when the redistribution takes place, so we can ensure that they can not gain more than a previously defined amount of rights without contacting the content provider.

A new method for the prediction of protein structural classes is constructed based on MVP (Maximum variance projection) algorithm, which is a manifold learning-based data mining method. DC (Dipeptide Composition) and PseAA (Pseudo Amino Acid) are used as conditional attributes for the construction of decision system. A DR (Dimensionality Reduction) algorithm, the so-called MVP is introduced to reduce the decision system, which can be used to classify new objects. Experimental results thus obtained are quite encouraging, which indicate that the above method is used effectively to deal with this complicated problem of protein structural classes.

To satisfy the reliability of real-time wireless multimedia multicast services, the existing erasure error correction schemes usually assume that the packet size in transmissions is fixed. However, recent studies have shown that Variable Packet Size (VPS) can deeply influence the performance of unicast wireless services. Accordingly, using a delay-limited general architecture of EEC for real-time wireless multicast, this paper proposes an Adaptive Hybrid Error Correction (AHEC) scheme with VPS. Comparing with the AHEC schemes with fixed packet size, the analysis results show that the AHEC with VPS scheme can improve the throughput by about 10% in some cases.

As the main secret-key encryption techniques of the wireless local area network (WLAN) have been proven to be unsafe, wireless network security is faced with serious challenges. It is unpractical for home users and small companies to buy expansive network equipments to improve the network security. Therefore, the secure strategy of wireless network needs to be changed. In this paper, we first introduce secure issues of the main secret-key encryption techniques currently adopted by the most popular commercial wireless routers. Then we propose a new strategy for small-scale IEEE 802.11 wireless local area network which can strengthen the network security. The new secure strategy is based on web authentication with unshared key and virtual local area network (VLAN) in wireless network. It can provide protection against practical attacks which are popular nowadays. Moreover, it is simple, wieldy and low-cost.

In this paper, we introduce a robust method for wideband DOA estimation which does not require any preliminary DOA estimation or calibration of the array during the whole estimating process with the performance similar to the autofocusing approach. Our method is based on the autofocusing approach and uses the ESPRIT algorithm during the narrowband processing stage. Meanwhile, we suggest the method of selecting the best focusing frequency which minimizes the mean square error.

Selecting high quality web services based upon QoS(Quality of Service) is a significant task in service-oriented computing environments. In this paper, according a real Quality of Web Service data sets:QWS Dataset (1.0), we developed a Weighted Grey Relational Analysis Model(WGRAM) for web service selection based on QoS, and combined with Analytic Hierarchy Process(AHP) and Grey Relational Analysis (GRA) to prioritize the relative importance of the QoS of web services. The comprehensive evaluation model (WGRAM) fully considered the influence of many factors given by experts, incorporating the qualitative analysis of the index of various factors and the quantization for scientific decision-making, it can provide weighted grey relational degree for each Web Services with the same functions(operations), and the grey relational sequence which can guide the optimal service selection from multiple functions similar service. The model possessed the characteristic of simple calculating process, and the result was reliable, It’s a reliable and effective method of web service quality factor assessment and a significant attempt for web services selection.

This paper resent a data collection method of using mobile sink and static sink together against “thermal region” in wireless sensor network. The mobile sink visits the remote-cluster and communicates with the head node directly, thus reducing both the energy cost of multi-hop transmission in long distance and the frequency of data forwarding in clusters near the static sink. Simulation results showed that the added mobile sink extended the network lifetime and expanded the capacity of network.

Beibuwan Economical Zone of Guangxi Province has the necessary basis and conditions to develop the madicine manufacturing industry.It is significant to select products which ficilitate the development of madicine manufacturing industry from the prospective of promoting the development of the industry smoothly. The feature of selection of essential products of medicine manufacturing can be summarized as multi-objectiveness, multi-layer, fuzziness and the interaction and penetration of different objectives. Due to these characteristics, analysis is made through analytic hierarchy process (AHP) by this thesis. The paper put forward the developmental sequence of madicine manufacturing industry in Beibuwan Economical Zone of Guangxi Province by adopting analytic hierarchy process, and pointed out that, among others, the technical competence is the most influnctial factor of a company. The appropriate developmental sequence of the products selected is biological and biochemical products, medicinal chemicals, chemical medicine and preparations. This research is in favor of speeding up the development of competitive products and creating industry competition.

The paper proposed a modified color image segmentation method basing on semi-supervised hidden Markov random fields (HMRF) with constraints. Making use of MeanShift algorithm to get supervision information and, cluster number and initial values for cluster centroids, color images can be segmented effectively with the method in this paper by K-Means algorithm. The experimental results are very encouraging.

This paper provides a construction method of periodic complementary multiphase sequences. The proposed method is based on perfect sequences possessing ideal periodic auto-correlation properties. By interleaving any two different perfect sequences with the same length, a kernel set of periodic complementary sequence with multiphase elements can be generated. Compared with the known periodic complementary binary sequences, the presented periodic complementary multiphase sequences may obtain much more lengths of element sequences, which will assure that the generated sequences can provide a more flexible choice of parameters for communication systems.