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There are some papers on secure or anonymous routing protocol in mobile ad-hoc networks. However, due to their original design goal, most of them are vulnerable to attacks and inefficient. In fact, providing security and anonymity are critical in wireless ad hoc networks. In this paper, we present an efficient secure anonymous routing protocol for clustered mobile ad-hoc networks, which not only solves problems related to anonymity, but also solves some of the security problems that are not attached in previous works. Detailed analysis, both from theory and simulation, shows it can get better scalability while not eroding the anonymity and security.

The implementation of bank-campus multi-function card system has realized the multi-win among banks, merchant stations, card owners and schools. The paper explores the financial data checking relationships among various entities in the bank-campus multi-function card system, and designs E-R chart and information flow to illustrate. Finally, the paper provides processing of checking , compiling methods of reconciliation statement of balance and checking methods of long-term outstanding entry.

The paper gives an overview of EGovernment and EGovernment portal. The current issues amongst EGovernment Portal are lacking motivation, collaboration and usability. To solve the collaboration and usability issue, the paper proposed a different approach for the integration of different Government service. Rather than stacking up government online service in 2D web portal, Multi-user shared 3D virtual environment could be a better embeddedness solution for online service It provides not only intuitive interface and excellent navigation, but also better interaction with citizens.

In 2005, Sui et al. proposed two separable and anonymous identity-based key issuing schemes, but the impersonation attack is proposed to show that Sui et al. 's second protocol is not free from the key-escrow problem. In order to solve such problem, Feng Cao et al. proposed an improved scheme in 2006. However, in the paper, we find that Feng Cao et al. 's scheme is still vulnerable to the impersonation attack. According, the current paper first shows the weakness of Feng Cao et al's improved scheme, and then proposes our improvement which reaches the goal of avoiding key escrow problem and enhances efficiency.

Nenadic etc(2004,2005) proposed RSA-CEGD protocol for certified e-goods delivery to guarantee strong fairness with the help of transparent Semi-Trust Third Party. Alcaide, Juan, etc(2005) pointed out it is vulnerable for replay attack and the NRO message can be abused. In this paper, we illustrate the STTP can not verify the message submitted by initiator which results in unfairness. In order to implement the Certified E-Good Delivery, this paper, first, defines the policy of Non-Repudiation messages, second, proposes a fixed protocol without changing the structure of the RSA-CEGD protocol. In the fixed protocol, the validity of the parameters, used to recover decryption key, can be checked by TTP and timestamps are added in messages to ensure the timeliness. Also in the fixed protocol, the messages composed the NRO and NRR satisfy the policy defined in this paper. At the same time, timeliness, fairness and non-repudiation of original and receipt are satisfied.

This paper studies the integration methods of project management (PM) system based on ontology theory. An ontology is a collection of key concepts and their inter relationships collectively providing an abstract view of an application domain. Paper focuses on the methods of ontology integration for project management system, ontology-based projects heterogeneous database integration and local ontology construction. It also builds an interacting architecture of project information based ontology. Moreover, it discussed project integration application service process based on the method of project isomeric database integration, which includes project business process generation part and service discovery and management integration part based on Web. Finally it gives a structure model of I3PMO (Isomeric Information Integrated Project Management based on Ontology), which is effective for ontology creation and integration in PM system.

Location estimation has been a backbone for location-aware services as wireless networks and mobile devices are more pervasively available. By operating on the signal strength space, nearest neighbor methods like RADAR have proved to be simple yet effective for location estimation. It has been common to take locations as classes, and then to infer location classes based on signal strength measurements. Under such a location classification setting, this paper investigates in detail the k-nearest neighbor approach in RADAR, and demonstrates that considering more neighboring signal strength measurements usually cannot help. Instead the orientations in which the signal strength is taken should be more carefully treated. This paper also develops a refinement step for RADAR, by building nearest neighbor classifiers to further clarify several top location estimates by RADAR. At a very economic cost, our refinement step can significantly boost the accuracy.

This paper introduces a new technique for tracing the malicious nodes in mobile adhoc network (MANET) for wireless communication. As the mobile hosts are free to move any where and can change the wireless topology frequently, each node of MANET are much more vulnerable to insider attacks specially under noise and external attacks due to lack of permanent infrastructure, limited resources, central administrator etc. Here in this paper, we have done an investigation and mathematical analysis based upon the detection of malicious node with attacks modeling .We propose a scanning procedure and security measures for the multihop wireless network after diagnosis the abnormal behavior of malicious node and verify the physical presence of attacks strategy in wireless network.

This paper deals with a kind of specific retailing that sells a fixed stock of perishable goods over a finite horizon. Under the case with the set of discrete available prices and given demand rates, Gallego and van Ryzin provides a two-price policy, which are easy for consumers to interpret and for firms to manage. However, if there exists competition in the market and competitors both adopt two-price policy, different markdown timing will certainly lead to customers' transfer. In this paper, we discuss how to determine the markdown timing for two competitive suppliers. A Cournot game is proposed based on Gallego and van Ryzin's two-price policy and the equilibrium point is found with the help of illustrations. Compared with the pricing policy without consideration of competition, the optimal markdown timing of the leading product will be delayed and that of the following product will be advanced. The numerical example shows that the leader's revenue is increased and the follower's revenue is decreased. We also analyze the effects of the customer transfer probability between two products on the equilibrium of the game through the example.

The accuracy of the power grid construction cost estimation is essential to the whole-process cost management. However, the estimation of the power grid project cost calculated by traditional methods varies largely, which cannot meet the needs of estimation accuracy. This paper proposes a case-based reasoning (CBR) method for estimating the power grid project cost. This method, supported by fuzzy mathematics, analytical hierarchy process (AHP) and rough set, makes full use of expert experiences and rule-based reasoning to improve the estimation accuracy that calculated only by the case-based reasoning method. And then, an actual case is involved in this paper to verify its scientificity and practicality. The case-based reasoning cost estimating method will provide valuable references for the cost decision-making in power grid projects.

E-business system with rules engine which is used by an enterprise is an effective option to reflect rapidly changes in the business and can make systems dynamic, speedy and efficient maintenance and upgrade when the subsequent business changes. Based on matching algorithm research on rules engine, the paper has improved and expanded Rete algorithm which has the high reputation both at home and abroad, has provided an improved rule matching model for the realization of rules engine, has certain innovation, high theoretical significance and practical value. This paper systematically analyzes how to realize Rete plus algorithm based on Rete algorithm and designs an improved Rete plus algorithm based on Rete algorithm.

With respect to the problem of large group decision-making based on utility valued preference information, the paper puts forward the entropy weight method to appraise members' information, to predigest calculates. Then the paper classifies members using cluster analysis with weights, to get members' weights and concentrate members' preference information. Finally, the paper uses degree of opinion reflection index to measure the degree of members' opinion reflected by decision-making result, and compares it with threshold value that is established before decision-making. If the index is bigger than the threshold value, we can ratify decision- making result, contrarily we must amend avail vector of correlative member according to the degree of opinion difference index, and do decision-making again, until we get satisfying decision-making result.

This paper focuses on an implementation named OLSRS (OLSR scheduling implementation). OLSRS provides a concrete scheme and several key techniques on the implementation of OLSR protocol. This paper first considers the general framework of OLSRS according to the routing architecture of Linux OS. Besides overall framework, this paper discusses the difficulties encountered in OLSRS and provides proper solutions. Finally, two testbeds are built and corresponding results are presented and analyzed.

This paper explores issues of electronic commerce as a key enabler to promote trade between buyers and sellers. The broker is processed to match buyers and sellers, which is significant in prompting the transactions between the two sides. This paper proposes an agent-based framework for matching buyers and sellers and uses the multi-objective optimization model to match sellers and buyers. The framework is processed in three layers: the interface layer, the matching layer and the database layer. The interface layer consists of buyer agents, seller agents and a broker agent. The matching layer is mainly to find the appropriate sellers to buyers. Based on the framework, a prototype system has been designed to illustrate the effectiveness of the approach.

Recently medical tourism is becoming more popular, as more people realize its benefits. The main benefits of health tourism include getting the opportunity to travel to an exotic destination and reaping potentially big monetary savings. Therefore, Taiwan Medical Tourism Development Association (TMTDA) was established to research and hold relevant medical tourism activities in August 2007. In this paper, we propose a new medical tourism service (MTS) recommend system, the designed situation-aware medical tourism service search system (SAMTS3), which provides the cooperation web-based platform for all related mobile users (MUs) and medical tourism service providers (MTSPs), could strengthen the ability of MTS suggestion. SAMTS3 is a five-tier system composed of the MUs, UDDI registries (UDDIRs), MTSPs, medical tourism services server (MTSS), and database server (DS). Using SOA, OWL-S to build semantic web environment to inference user's medical requirements and search adaptive MTS and web services which are published in UDDI through the communication networks include internet and 3G/GPRS/GSM mobile networks. In this paper, we propose the specific Medical tourism stemming mechanism (MTSM), medical ontology (MO), and adaptive medical tourism inference module (AMTIM) combined term frequency-inversed document frequency (TF-IDF), latent semantic analysis (LSA), and k-nearest neighbor (kNN) to reference the adaptable MTS to MUs.

For meeting the requirement that Web application system can quickly go into service, quick response, and rapid adapt the change of Web application system, this paper proposes a new Web development method: Agile Web Development with Web Framework (AWDWF). This paper present AWDWF through researching the characteristic of Web Framework, Agile Web development process, as well as their integration. Furthermore ISO/IEC9126-quality model is used to make the quality analyze of AWDWF. The results show that it raises the efficiency of WEB development, at the same time ensures that the quality of development.

Support vector machine is a novel machine learning method in recent years, the SVM with RBF is widely used in pattern recognition because of its good learning properties. If Support vector machine is applied into risk assessment, it will get better assessment results. But the performance of RBF-SVM is influenced greatly by the parameter of C and sigma. The principle of SVM and the essence of kernel function are introduced in this paper,This paper analyses the influence of the parameters of C and sigma to the performance of RBF-SVM, and then the picture of the changing curve of the C and sigma affect the number of SV and wrong recognition rate are presented. The result indicate that we can get the best assessment model if choose the appropriate RBF parameter. AT last, through risk evaluation with SVMs under different kernel functions, the superiority performance of RBF-SVM is validated. Simultaneously, the best learning performance of RBF-SVM assessment model is received.

The authenticated encryption schemes can be used to provides integration, authentication, and non-repudiation for the signing message while keeping the message secret from the public. In this paper, we propose a new (t, n) threshold proxy authenticated encryption scheme, in which at least t out of n proxy signers delegated by the original signer can sign messages on behalf of the original signer. This scheme not only has the advantages such as unforgeablity, nonrepudiation and secrecy, but also provides flexibility. We can announce the parameters to change the threshold value t. Once the combined proxy signers of threshold value t and announcing parameters that can generate a legal proxy signature, this result can enable the security to increase or reduce the threshold value flexibility. Therefore, the scheme in this paper provides an easy and convenient way to delegate the power of digitally signed message.

Secure route selection is always a challenge for distributed networks. The paper takes trust value as one of routing metrics for distributed networks to defense some attacks. The paper provides an algorithm to compute trust value and then gives a routing algorithm based on trust value. Trust value's computation takes remembering factor and credibility as main parameters. The final route is secure and short. When routing message is back from the destination to the source, some malicious nodes could be found.

Based on literatures studying, this paper point out that the service quality of tourist coach (SQTC) is vital to tourist and enterprise, but the evaluation methods adapted on SQTC have been rarely. According to the character of decision making process of SQTC, the paper applied multiple attribute decision making (MADM) based deviation maximization on the problem. For improving the weight of attribute factors according to LB/T 002-1995, the paper has synthesized entropy to revise the attribute weight. At last, the calculation example has identified that the MADM with comprehensive entropy weight is valid to solve the problem of SQTC evaluation.

This paper focuses on the reputation of e-learning system services and the evaluation arithmetic. It gives out the content of reputation in e-learning services. In this paper, it adopts fuzzy hierarchy process quantitative analysis method to analyze the reputation service levels of the e-learning system evaluation, and gives the hierarchical structure and description of e-learning system's reputation service system.

The paper analyzes the security of IEEE 802.11. Based on the discussion of IEEE 802.11 security requirement, the three security technologies-SSID (Service Set Identifier), MAC(Media Access Control), WEP(Wired Equivalent Privacy) in WLAN standard IEEE802.11 are introduced, especially the encrypting algorithm and the integrity check algorithm in WEP. The security flaws caused by RC4 algorithm, key management, initialization vector Space, CRC algorithm and authentication mechanism in WEP are analyzed mainly in this paper. At the end of the paper, some advices and strategies to these flaws are given.

An improved model based on Kohonen neural network, called self-organizing map neural network with two winners (SOM2W), is applied to assess stock companies in this paper. In addition, in order to improve the precision of solutions, tabu-mapping method is also used to avoid that the same output node is mapped by more than one input. The clustering analysis for the stock is also done by using SOM2W neural network in this paper. The financial indexes reflecting the comprehensive capability of stock company as main research objects including income per thigh, clean asset per thigh, profit rate of clean asset. Experimental results show that SOM2W network is feasible and effective to assess and select stocks, it could provide a new reference basis for government and investors, which has potential applications in the financial field.

This paper has a discussion and research on resource trading techniques and methods for manufacturing grid (MG). It firstly introduces the economics roles of manufacturing gird. Then it analyses the relationship between different economics roles. And based on the framework of MG resource management system, upon the price-based economic theory and the game theory-based economic theory paper puts forward the matching service negotiation mechanism of economics model to realize the selection of economics model. Finally paper gives a resource bargain model for MG based on negotiation and illustrates the trading process of the model deeply. It is an effective resource trading method of economic model for MG. It gives a solution connecting MG to market.

This paper presents a new text clustering algorithm based on local search and K-means (LSKM) and explains the characteristic of this algorithm theoretically. The experimental results of three standard test collections show that the new algorithm is better than K-means and the theoretical analysis is also testified in this paper.

Unceasingly develop and the thorough development along with the software system, the use of middleware become more and more, they mutually affect by the complex way. These middle wares, because of the complex of the origin, are not extremely credible. So, before using these middlewares, we must understand the security feature of them, for instance, the secret data cannot be leaked in the network. But, it is very difficult to confirm that these middlewares can have good security feature. The paper designs the encapsulations, which let these middlewares run under secure environment, and it provides the control of good granularity among the middle wares, the middleware and other system resources. The main part of this paper is to research the expression methods of the encapsulations, through these methods we give the security and verify it. This paper uses box-pi calculus to describe several kinds of encapsulations, and discuss the security which each kind of encapsulation could guarantee.

This paper's research work mainly pays attention to the requirement consistency validation. In order to solve the consistency evaluation and multi-branch selection problem during requirement validation process, this paper proposes a kind of requirement measurement method. At first, this paper proposes a keywords preprocessing method based on keywords extraction, synonyms expansion and a certain words reducing strategy. The method eliminates the influence to requirement measurement by thesaurus, low and high frequency, non-noun keywords. This paper proposes estimation matrix establishing rules in AHP model, and proposes requirement critical degree algorithm. The above points avoid the imprecise requirement qualitative analysis, and solve the quantitative evaluation problem to the requirement property value.

At present Web services are thought as the revolution of the next generation e-commerce and its technical architectures include UDDI, WSDL, SOAP, XML and so on. Web service discovery is one of the most important parts in the web service architectures. The paper first compares current service retrieval technologies, and then shows the problem that UDDI, which is the current discovery mechanism, cannot understand the content of web service. The paper presents two discovery mechanisms based on the cooperation of UDDI and DF based on the standard of FIPA and gives the system composition and DF registry work flow to show how to realize web discovery. At last the paper verifies the feasibility of the two given methods through two examples and some figures and tables. With the help of agent and ontology, the problem can be tackled by the cooperation of UDDI and ontology query mechanism DF based on the standard of FIPA. It can make up for UDDI and improve the efficiency of web service discovery.

Distribution centers site selection has become a popular problem in recent years. Fine distribution centers site selection can ensure the supply and reduce the cost. By studying the methods proposed by other scholars, a mew method, KPCA (kernel principal component analysis) -SVRM (support vector regression machine) is proposed by this paper. The first step of this method is to apply KPCA to SVRM for feature extraction. KPCA first maps the original inputs into a high dimensional feature space using the kernel method and then calculates PCA in the high dimensional feature space. These new features are then used as the inputs of SVRM to solve the site selection problem. By learning and training, we use the data of this subset to get the solution and find interrelationship of input and output by the SVRM. Practical examples are cited in this paper to illustrate the process. The KPCA-SVRM method can also be used to solve other selection and decision problems.

OGC-compliant(OGC, Open Geospatial Consortium Inc.) Web Feature Services (WFSs) have gradually become an important kind of spatial data sources over the Internet. In such a distributed environment, a user may issue a query that relates two spatial datasets that are provided by two services at different sites. Because of the sheer volume and complexity of spatial data, spatial joins between two spatial datasets by different services are expensive in terms of transmission cost. This paper examines the problems of spatial joins between WFSs, based on the spatial semijoin strategy and partition based spatial join strategy, this paper presents a spatial join processing strategy between two OGC-compliant WFSs. The experimental result illustrates that when in the query window there are enough spatial features from the two related datasets, the proposed strategy can greatly reduce the expensive of transmission cost and thus time cost.

Association rules mining is an important data mining task, this paper emphatically analyzes realization skill and defects of existing algorithms. On the basis, a novel measure, named statistical correlation, which can indicate the correlation degree of multi-items in a rule, is put forward to cut association rules with independent or negative correlation, and its concept, calculating formulas and primary characteristics are defined. In order to conveniently use statistical correlation to cut redundancy rules, a fast association rules mining algorithm, called F-Fminer, is designed with two new data structures UFP-Tree and FP-Forest which use multi-trees structure to store data. F-Fminer adopts divide and conquer strategy to mine frequent itemsets for every UFP-Tree basing on depth-first searching. It can be seen from experimentation that the method in this paper has greatly enhanced mining efficiency and reduced a lot of redundant rules than other classical algorithms.

SPAM (in this paper esp. refers to rubbish short message) , which affects our information and communication environment, has been paid more and more attention to by the society, the government and telecom operators. SPAM sent by individual subscribers, in particular, is the most important and difficult part in the management of SPAM, and should be realtime controlled in the sending step by a deployed SPAM inspection system. This paper analyzes the characteristics of individual sender spam, and designs the network structure of SPAM inspection system and its work flow, and makes a detailed analysis of the setting and optimizing of the surveillance threshold of the system.

In order to effectively avoid risks that might result in loss of failure in software development process, based on the experiences of software development and project management, this paper identifies 4 potential risk factors specific to software development projects which are integrated with 6 stages in software development process, and proposes a non-linear programming model to optimize funds allocation to reduce the risks. The paper provides an example to validate the effectiveness of the model.

The paper described a new model based on rough sets and support vector machines (SVM) to evaluate credit risk in commercial banks. In the model.a index system is established, then the rough sets was used to reduce the number of indexes and to make the calculation easy. The SVM was used to classify the credit risk precisely. A real case is given to test the model and the experimental results show that the model has high accuracy.The paper also compared it with the backpropagation neural network(BPNN) method .The data showed that the new model based on rough sets and SVM is more precise and more efficient than the BPNN method. Those advantages proved that the new model is a more effective one for evaluating credit risk in commercial banks.

A new model of SMS platform is proposed in this paper. Based on this model, with the techniques of the Bluetooth, socket, embedded operation, remote control, and database processing, a system is designed as an example. With this efficient model, the system can be mainly buildup by the hardware of mobile devices and networked computers. This SMS platform can be easily integrated with OAS (office automation system), and many other applications. The study of this paper also gives a further insight about the limitation of the system and discusses what should be improved in the future.

In the paper, the procedure of construction project decision based on data mining of Rough Sets is discussed. This paper takes a construction project as a case study. The risk decision of construction project is sort of multiple attribute decision-making processes. It is certain that we have to deal with massive data. So data mining technology is necessary, for it can abstract implicit regularity from massive data. In this paper, the reduction algorithm based on Rough Sets is proposed as a practical data mining technology. In the paper, the procedure of construction project decision is analyzed. And a new decision method is proposed in order to solve the risk decision problem of a construction project. The factor set is established including condition attribute and decision attribute. Then experts qualitatively describe risk factors and create a decision table, and the attribute reduction algorithm based on Rough Sets is used to eliminate the redundant risk factor and its value of decision table. Finally, the minimum decision rules are created based on data mining results. And the rules with explain meanings are abstracted in the case study. We can make proper decision from the rules to improve precision and explanatory ability in practice.

This paper extended the TOPSIS method for multi-criteria decision-making by the credibility measure in fuzzy environment. Originated in the compromise programming method, TOPSIS is on the basis of an aggregating function representing "closeness to the ideal", the basic principles of it are that the chosen alternative should have the shortest distance from the positive ideal solution (PIS) and the farthest from the negative ideal solution (NIS). In reality, decision data are usually represented by vague concepts such that the precise value is inadequate to model real-life multi-criteria decisionmaking situations. To deal with linguistic or uncertain attributes in decision data, which should be allowed to assume fuzzy numbers, the paper provided a detailed discussion on one extension of TOPSIS method adopting the fuzzy uncertainty theory. In the presented fuzzy- TOPSIS method, the performance ratings and the weights of the criteria were given as triangular fuzzy numbers. In addition, the measure of distances between the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) were replaced by credibility measure, where distance was a special measure. Finally, the proposed method was illustrated with a numerical example, showing its central procedure.

In response to the low efficiency problem in the existing authenticated key exchange protocol for mobile commerce, the paper proposes an efficient authenticated key exchange protocol based on token, which can authenticate identity of the mobile user in the foremost time, as well as the session key can be exchanged efficiently. To analyze the proposed protocol, the paper proposes an extension of the SVO logic and formally analyzes the objective and security of the protocol by using the extended SVO logic. The analysis results reveal that the protocol completes the ideal authentication goals through the definite key authentication.

Data mining is a new method of data analysis, especially very large datasets analysis. Nowadays it is becoming more and more popular in data handling. It is a rapidly growing field, whose development is driven by strong research interests as well as urgent practical, social, and economical needs. However, it generally requires much specialty knowledge. It is not easy for people without specialty knowledge to handle very large datasets with data mining. This paper describes an approach of data mining with Excel using the XLMiner add-in. Using this approach, data preparation can be easily accomplished in Excel. Almost every one can use Excel experienced. Therefore, data mining in Excel can be implemented easily, not only by people with specialty knowledge but also by people without specialty knowledge. This paper presents an example of mining association rules to illustrate all the steps of this approach.

Evaluation of construction projects is an important task for management of construction projects.An accurate forecast is required to enable supporting the investment decision and to ensure the project's feasible at the minimal cost. So controlling and rationally determining the project cost plays the most important roles in the budget management of the construction project. Ways and means have been explored to satisfy the requirements for prediction of construction projects. Recently a novel regression technique, called Support Vector Machines (SVM), based on the statistical learning theory is exploded in this paper for the prediction of construction project cost. Nevertheless, The standard SVM still has some difficults in attribute reduction and precision of prediction. This paper introduced the theory of the Rough Set (RS) for good performance in attribute reduction, considered and extracted substances components of construction project as parameters, and seted up the Model of the Construction Project Cost Forecasting based on the RS-SVM. The research results show that the prediction accuracy of RS-SVM is better than that of standard SVM.

Web page content extraction is a key step for knowledge acquisition from the Internet. The physical layout of Web pages is always composed of useful information, advertising links and images. So how to extract the right content and filter out irrelevant information is an important work. According to the different properties between content nodes and non-content nodes of Web page represented as a tree, an algorithm based on link density and statistic is presented. This method increases the veracity of content extraction which will benefit the efficiency of information acquirement for corporations and organizations. The work of this paper is important for knowledge acquisition.

At present, most of WfMSs (workflow management systems) in the market are based on centralized defining in the organization. Further more, they have poor ability to describe the complex process, and have difficulty to deal with the business process share between cross-organizations. To support virtual and cross-organizational workflows in distributed environment, WfMSs must realize cross-organizational and distributed management to improve the dependability and extensible etc. To solve these issues, a Web-based lightweight process modeling system has been developed in this paper. This system is based on Java and XML technology, and provides friendly GUI which is easy to be used. The model document can be saved in XML format, so the interoperation between different workflow products becomes easy. This system establishes the base for enacting the WfMSs.

Millions of laptops ,PDAs and other mobile devices remain unused most of the time and this huge resource repository can be potentially utilized in the Grid environment. We are working on a system for constructing a auction-bargaining theoretic pricing model to address load balancing and optimization issues in mobile grids. In the model, first a auction protocol is to select the cheapest one among n mobile devices and then a two player alternating-offer bargaining game between the wireless Access Point Server (APS) and the cheapest mobile device to determine the pricing strategy which is then maximizing the profits and minimizing the costs of data resource management. In this paper we give an overview of our model and present some evaluation required to support this desired marketplace interaction model.

ETL is a critical task performed at the early stages of a DW project. To solve heterogeneity problems of different data sources in the processes, this paper proposes a framework model for ontology-driven ETL processes by using semantic Web technologies and discusses how ontologies are used to support the data integration. The framework consists of four main phases: metadata abstract, ontology map, rule reason and ETL direction. The main ideas is to abstract local ontologies from metadata of different data sources, global ontology from data warehouse via OWL DL under the direction of domain ontology which is built by domain experts first, next map these ontologies to find the connotative semantic relations, then reason these relations to get exact ETL rules which can be used to direct the ETL processes and assist the performing of DW project.

The bid evaluation of construction project is a multivariate evaluation. Based on the principal component analysis which is included in multivariate statistical analysis, this paper establishes the multi-index comprehensive bid evaluation model of construction project, and proposes that how to calculate the evaluation index weight by introducing the variance contribution ratio, and that how to determine the number of principal components by making comprehensive consideration with an introduction of accumulated contribution ratio and factor load. Finally, an example is given to prove the convenience and feasibility of this bid evaluation method. This method has some characteristics: It overcomes deficiencies like large number of evaluation indexes, the overlap of the information that contained in evaluation indexes, and the determination of weight is artificial. The results of bid evaluation are objective and reasonable, which are suit for the evaluation of multi-index systems of large construction projects.

Accurate and efficient network traffic classification is an important network management task. Two way messages in a session follow the underlying application protocol to exchange information. In this paper, we propose a novel application classification method based on message statistics, concisely representing the protocols' unique characteristics. We present algorithms using SVD-based and information gain based algorithms to select the proper message feature set. As shown by the evaluation experiments, using the selected message features, a simple decision tree is able to reach the classification accuracy over 99%, which is comparable to other more sophisticated machine learning results.

In this paper we apply a relatively new learning algorithm, support vector machines optimized by genetic algorithms (GA-SVM) to the credit-rating prediction problem and expect to improve prediction accuracy by adopting this new algorithm. Based on the result, we conducted a market analysis on the determining factors in the China markets. By determining what information was actually used by expert financial analysts, these studies can help users capture fundamental characteristics of different financial markets.

Recently RFID (radio frequency identification) middleware technology attracts great attention due to its competitive business value. Being able to be automatically identified and collect information, RFID systems have been applied to various applications fields. RFID middleware facilitates data communication between automatic identification equipments, like RFID readers, and enterprise applications. ALE (application level events) specification defines that RFID middleware should provide application systems with a group of standard interfaces. And RFID middleware's basic function is: collecting/filtering. In this paper, we propose the deployment and design for distributed ALE in RFID middleware: ALE is divided into a number of parallel implementation of ALE for RFID middleware; a load balancing mechanism is introduced to work as a coordinator among ALEs. Distributed ALE is not only compatible with EPC global ALE (application level events) specification but also transparent to application systems and equipment management. When the RFID middleware with single ALE connects with too many tags, or its throughput is far beyond the normal throughput, it may delay its response or even break down. To solve this problem, we propose distributed ALE. Our proposed distributed ALE provides a decentralized and steady data processing for RFID middleware, which can enhance the flexibility and availability of the system.

The development and deployment of privacy preserving joint-ordering policy could allow supply chain collaborations to take place without revealing any participant's data to the others, reaping the benefits of collaboration while avoiding the drawbacks. In this paper, we develop and apply secure multi-party computation protocols to the joint-ordering policy between a single supplier and a single retailer.

The authenticity of advertised QoS for Web services is of particular relevance during service discovery and selection. Reputation of a service is often used as a measure of its trustworthiness. Currently, reputation is usually computed from the users' feedbacks and represents a snapshot for the interactions in a past time slot. However, in an open environment, reputation is a volatile property, which is subject to change. A more effective measure is needed for the users to pick up trustable Web services. In this paper, we propose a novel measure to evaluate the authenticity of Web services based on reputation. To enhance the traditional service trustworthiness measurement that depends mainly on services' current reputation, our measure incorporates historical reputation data of services and service providers' reputation into the evaluation of users' trust in services. Experiments are presented to evaluate the effectiveness of our approach.