Joint Power Control Algorithm for CDMA TDD System

Current uplink power control algorithm of code division multiple access （CDMA） time division duplex（TDD） system contains signal-to-interference-ratio（SIR） and interference measurement, which is based on history information. However, the adjustment of transmission power of one user equipment（UE） will affect SIR of the others, because the power control is done independently of the power adjustment of other UE＇s. So the convergence speed of power control is not fast and the system performance degrades. In the proposed algorithm, all UE＇s assigned in same time slot adjust their transmission power based on current information, which takes into account the adjustments of transmission power of all UE＇s. The simulation results indicated that the proposed algorithm outperforms the old algorithm.     

Design and implementation of a dynamic content cache module for Web server

Web offers a very convenient way to access remote information resources, an important measurement of evaluating Web services quality is how long it takes to search and get information. By caching the Web server‘s dynamic content, it can avoid repeated queries for database and reduce the access frequency of original resources, thus to improve the speed of server‘s response. This paper describes the concept. advantages, principles and concrete realization procedure of a dvnamic content cache module for Web server.     

A fair off-line e-cash system with group signature

This paper describes the research results and development of fair off-line e~eash systems so far, and points out that in these systems, the bank can compute the doublespender‘s account secret key, thus the bank can impersonate the double-spender to withdraw from the double-spender‘s account. This article utilizes anonymity control and group signature to address this shortcoming.     

Research on Bayesian Network Based User＇s Interest Model

It has very realistic significance for improving the quality of users＇ accessing information to filter and selectively retrieve the large number of information on the Internet. On the basis of analyzing the existing users＇ interest models and some basic questions of users＇ interest （representation, derivation and identification of users＇ interest）, a Bayesian network based users＇ interest model is given. In this model, the users＇ interest reduction algorithm based on Markov Blanket model is used to reduce the interest noise, and then users＇ interested and not interested documents are used to train the Bayesian network. Compared to the simple model, this model has the following advantages like small space requirements, simple reasoning method and high recognition rate. The experiment result shows this model can more appropriately reflect the user＇s interest, and has higher performance and good usability.     

Exploration of energy conservation MAC protocol of WSNs for ubiquitous environment

According to analyze the facade phenomenon of wire-less sensor networks（WSNs）,this paper proposes a feasible method to state clearly and improve the power control efficiency of wire-less sensor networks（WSNs）. One of the crucial problems for WSNs is the design of medium access control （MAC） protocol. Our method want to adjust the activities of the MAC protocols control to achieve the enery conservation when the wireless communication module of sensor nodes is running, which is the major consumer of energy consumed by sensors energy. The energy efficiency of MAC protocol makes a strong impact on the network performance. To some extent,our research work describes and analyze the sources of energy consumption in MAC layer and simultaneously present an optimal method for the design of MAC protocol. Then we discusses some factors impacting on the performance of MAC protocol and metrics of performance evaluation. Eventually, the coming research direction is summarized.     

Obtaining the real height profile of ionospheric electron density with back propagation network

A new method to obtain the real height profile of lonospheric electron density is described, which is called “approximation with network”. Also it has been demonstrated how to solve the group path integral equation with Back Propagation (BP) neural network, and given the computation results with this method for a parabolic model. Simulation results show that the proposed method is effective. Foundation item: Supported by the National Natural Science of China (94J3, 3.2JW1202) Biography: Wu Qing-ling(1942-), male, Professor.     

速度同步控制系统中的多层通讯网络设计

文章针对某腈纶纺丝生产线,介绍了一种基于Industrial Ethernet+PROFIBUS-DP通信的速度同步控制系统设计.该通讯网络包括控制级和现场级,控制级采用工业以太网通信网络,现场级采用PROFIBUS-DP通信网络结构.文章阐述了上位机与PLC、PLC与变频器的通信过程和网络设置,以及该控制系统的相关软件实现;最后通过与传统的基于MPI的控制级通信网络对比,表明该系统有更广的应用范围和扩展性.     

Clustering and Scheduling Method Based on Task Duplication

A new heuristic approach that resembles the evolution of interpersonal relationships in human society is put forward for the problem of scheduling multitasks represented by a directed acyclic graph. The algorithm includes dynamic-group, detachgraph and front-sink components. The priority rules used are new. Relationship number, potentiality, weight and merge degree are defined for cluster＇s priority, and task potentiality for tasks＇ priority. Experiments show the algorithm could get good result in short time. The algorithm produces another optimal solution for the classic MJD benchmark. Its average performance is better than five latter-day representative algorithms, especially six benchmarks of the nines.     

A Deep Web Query Interfaces Classification Method Based on RBF Neural Network

This paper proposes a new approach for classification for query interfaces of Deep Web, which extracts features from the form＇s text data on the query interfaces, assisted with the synonym library, and uses radial basic function neural network （RBFNN） algorithm to classify the query interfaces. The applied RBFNN is a kind of effective feed-forward artificial neural network, which has a simple networking structure but features with strength of excellent nonlinear approximation, fast convergence and global convergence. A TEL_8 query interfaces＇ data set from UIUC on-line database is used in our experiments, which consists of 477 query interfaces in 8 typical domains. Experimental results proved that the proposed approach can efficiently classify the query interfaces with an accuracy of 95.67%.     

Multi-Path Routing and Resource Allocation in Active Network

An algorithm of traffic distribution called active multl-path routing (AMR) in active network is proposed. AMR adopts multi path routing and applies nonlinear optimize approximate method to distribute network traffic among muhiple paths. It is combined to bandwidtb resource allocation and the congestion restraint mechanism to avoid congestion happening and worsen. So network performance can be improved greatly. The frame of AMR includes adaptive traffic allocation model, the conception of supply bandwidth and its‘ allocation model, the principle of congcstion restraint and its‘ model, and the implement of AMR based on multi-agents system in active network. Through simulations. AMR has distinct effects on network performance. The results show AMR is a valid traffic regulation algorithm.     

基于BB84协议的量子保密通信网络流量控制策略

采用基于时间片轮转原理的流量控制及数据分发策略, 设计一种新的量子保密通信网络与经典网络相结合的组网技术方案, 解决了量子保密通信网络量子网关密钥池容量小及密钥生成速率较慢的问题. 利用该策略对三节点量子保密通信网络出接口进行流量监测, 检测数据结果验证了该方案的有效性及可行性.     

RTP-Packets＇ Loss Recovery Scheme Based on Layered Buffer-Routers

This paper introduces an RTP-packets‘ loss recovery scheme in MPEG-4 playback type multicast application model, which is based on retransmission scheme. Through the auxiliary and coordinated buffer playing scheme of layered “buffer-routers”, the RTP-packets‘ loss recovery in limited time is made possible. We consider in the scheme to handle retransmission request with buffer waiting when network congestion occurs. Thus, neither the degree of congestion will be worsened nor the retransmission request will be lost when sending the request to higherlevel buffer router. The RTP-packets‘ loss recovery scheme suggested by us is not only applied to MPEG-4 muhieast application in LAN, but also can be extended to more spacious WAN (wide area network) when user groups comparatively centralize in certain number of local areas.     

A processing approach for event-based location aware queries in hybrid wireless sensor networks

In hybrid wireless sensor networks, sensor mobility causes the query areas to change dynamically. Aiming at the problem of inefficiency in processing the data aggregation queries in dynamic query areas, this paper proposes a processing approach for event-based location aware queries (ELAQ), which includes query dissemination algorithm, maximum distance projection proxy selection algorithm, in-network query propagation, and aggregation algorithm. ELAQs are triggered by the events and the query results are dependent on mobile sensors’ location, which are the characteristics of ELAQ model. The results show that compared with the TinyDB query processing approach, ELAQ processing approach increases the accuracy of the query result and decreases the query response time. Biography: HONG Liang (1982–), male, Ph.D. candidate, research direction: database system, sensor network.     

基于模糊神经网络融合的温度控制方法

针对目前温度控制中存在的问题，研究设计了一种新的适合于非线性、惯性系统应用的动态控制的方法。采用了将具有简单有效的非线性控制作用的模糊控制技术与学习和自适应能力较强的人工神经网络技术相融合的方法，建立了模糊神经网络相融合的智能控制模型。文章详细地介绍了基于模糊神经网络的智能温度控制的实现过程。实际应用结果表明，系统具有较强的实时性和可靠性，不仅温度控制精度高，而且动态响应速度快。该控制方法的研究，为实现最佳温度控制提供了理论根据和有效方法。     

天然气管网系统性能评价指标及方法研究进展

目前中国对天然气的需求与消费扩大,天然气管网建设势必要加快.天然气管网系统在服役过程中的事故率和安全风险难以控制,从而会极大影响天然气管网供应格局的形成.近年来,中外对天然气管网系统的性能评价指标及方法已经取得了大量的研究成果,但是中国油气管道领域的应用实例仍然较少,未形成一套完整的、全面的天然气管网系统性能评价指标及方法体系.通过总结现有研究成果发现,管网结构可靠性评价主要是采用故障树分析、蒙特卡洛模拟方法来计算管网系统的失效概率,从而量化管网系统的可靠性.管网供气可靠性评价主要是基于概率统计方法,建立天然气管网系统日需求-日供给干涉模型,并结合TGNET软件或蒙特卡洛模拟法,求解出管网系统的供气可靠度;管网经济性评价主要侧重于投资估算和财务评价;管网适应性评价主要是通过模拟软件建立管网水力计算模型,从而分析管网在不同工况下的输送效率.同时也指明了建立管网系统评价模型、划分评价指标等级是未来的研究重点;采用极限状态设计理论,并准确计算管网系统发生失效或故障的概率是未来的研究难点.以上综述内容对于开展天然气管网系统性能评价指标及方法的理论研究与现场应用具有一定的借鉴价值.     

EARep: A fully distributed exchange-based anonymity P2P reputation system

A fully distributed exchange-based anonymity P2P reputation system—EARep was proposed. EARep can provide all the peer’s anonymity in a fully distributed structured manner. In EARep, each peer’s anonymity is achieved by changing pseudonyms. Analysis and simulation results showed that compared with DARep, which is an existing representative scheme, our system has two main features. First, EARep increased anonymity degree (measured by linkage probability) and was much more scalable than DARep. Specifically, with the same message overhead, EARep reduced the linkage probability by more than 50% compared with DARep. Alternatively, to achieve the same anonymity degree, the message overhead in EARep was less than 25% of that in DARep. Second, the service selection success ratio of EARep was greater than 90% even when the percentage of malicious peers was up to 70%, which makes our system robust to malicious behaviors of peers. Biography: WEI Yunzhao (1978–), male, Ph.D. candidate, research direction: P2P network, wireless network.     

A feedback-based web search engine

Web search engines are very useful information service tools in the Internet. The current web search engines produce search results relating to the search terms and the actual information collected hy them. Since the selections of the search results cannot affect the future ones. they may not cover most people‘s interests. In this paper, feedback informarion produced by the users‘ accessing lists will be represented By the rough set and can reconstruct the query string and influence the search results. And thus the search engines can provide self-adaptability.     

Integrated semantic similarity model based on ontology

To solve the problem of the inadequacy of semantic processing in the intelligent question answering system. an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and informarion content is presented in this paper. With the help of interrelationship between concepts, the information content ofconcepts and the strength of the edges in the ontology network. we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user‘s question and answers in knowlegdge base. The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology. More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached. The result is vety satisfied.     

Networked Control System Simulation Design and Its Application

Introduction The point-to-point communication architecture has been successfully used in industry for decades for con-trol system implementation.Expanding physical setups and functionality,however,are pushing the limits of the point-to-point architecture.…