Applied Mechanics and Materials Vols. 519-520

Abstract: In order to accelerate the transmission speed of a large number of documents in file transmission system, achieve fast recovery and restart the transmission in the case of accident, this paper presents a fast task queue management method. By establishing task file transmission queue quickly, and making use of fault recovery module, fast task queue management software not only recovers files effectively which transfer failed unexpectedly, but also realizes saving and restoring rapidly in file transfer system. The software has three functions: the file status real-time monitoring, reading the breakpoint recovery and system log. Test results show that the software improves the efficiency of task management and builds task lists quickly. It also recovers task queue to the breakpoints quickly which are failed to execute at the last time, and continues to perform the task when a fault occurs in the task queue. The software runs steadily , especially , the design idea of the software which has great value in engineering application is instructive.

Abstract: Service-oriented Architecture (SOA) is the new paradigm for software development, the key point of which is the trustworthiness of the service and the service flow. The construction problem of trustworthy service flow can be formalized as the constrained optimization problem, and which is solved by hybrid quantum-behaved particle swarm optimization algorithm with the good results. By reason of the existence of implicit parallelism of hybrid quantum-behaved particle swarm optimization algorithm itself, an improved hybrid quantum-behaved particle swarm optimization algorithm with parallelization is proposed in the paper, and which is used to solving the construction problem of trustworthy service flow. The experimental data show that the improved hybrid quantum-behaved particle swarm optimization algorithm with parallelization can receive the better result in solving the construction problem of trustworthy service flow, compared with the hybrid quantum-behaved particle swarm optimization algorithm.

Abstract: Withdrawn at authors request.

Abstract: A web page often contains objects that the hosted web server intends a browser to render. Rendering those objects can instruct network requests to foreign origins. Although the same origin policy (SOP) limits the access for foreign objects, web attackers could circumvent the SOP controls through injected unintended objects for sensitive data smuggling. In this paper, we propose UOFilter, a whitelist-based method to filter out unintended objects in web pages. We define a list item structure to describe intended objects with optional integrity guarantees. The UOFilter in a web browser interprets the items and blocks the network requests issued by those unintended objects. We implement a proof of concept UOFilter prototype as a chrome browser extension and validate it with experiments.

Abstract: This paper studies the key technology of realizing the 3D model renderer on mobile terminal, design the 3D model by X3D-Edit.Then, using JDOM parsing technology to analysis the XML, we get 3D dates. Finally, taking Mobile 3D Graphic API from JST 184 criterion on the JavaME platform and reappearing the 3D Model on the renderer with 3D data on Eclipse, a 3D Model Render on mobile device that based on X3D is accomplished. Keywords: X3D, renderer, 3D Model, JDOM, M3G

Abstract: Whether on a company's website or personal website, there will be a optimization and promotion process, which is a systematic project. Search Engine Optimization (SEO) is one of the mainstream technologies in the field. From the perspective of the working principles of the search engine, this thesis aims to analyze sorting methods of the search engines and find out the main factors influencing the page rank, and then to analyze the structure, content, site navigation, keywords, strategy and optimization of links of the website, etc., and to put forward relevant optimization strategy.

Abstract: This paper presents a parameterized unit test framework named Semantic-PUT. It consists of batched input data model, environment isolation, program run and results assertion. The semantics of the four parts are given respectively. Unit testing of 16 algorithms have been performed using Semantic-PUT, The result shows that testing has been completed successfully, and Semantic-PUT is automated and efficient.

Abstract: With the rapid development of scripting language, javascript has been widely used in the application and web development industry.One of the main disadvantages of javascript for developers of commercial applications is the ease by which customers and competitors can study, analyze, and reuse the source code . Therefore, this paper proposes a technique of javascript code obfuscation based on control flow tansformations. The experimental results prove that,its effective protect javascript source code.

Abstract: Online group-buying (OGB) has attracted a lot of interest among academics and practitioners. Although there is an abundance of studies on OGB, most studies on OGB aims on how to enhance the consumers adoption, the studies related to the determinants of consumers continuance intention and discontinue using anomalies are still insufficient. To identify the determinants that influence consumers continuance intention in OGB and establish generalize ability is crucial due to an empirical study measuring continuance intention would enable OGB platforms providers and consumers to improve their adoption and continuance intention. Emerging design approach: User eXperience Design (UXD) could provide learner with great user experience to alleviate the above issues. This paper synthesizes the Information System Success Model (ISSM) and the ExpectationConfirmation Theory (ECT) to establish an extension model based-on user experience perspective to discovery what critical factors affected the users benefit and users intentions to continue using OGB. Initial results of this study have shown our questionnaire reached good convergent and discriminate validities. In next steps, the promising model will be empirically tested with wider areas.

Abstract: In view of the data sparseness of traditional collaborative filtering algorithms, this paper introduces product evaluation concept tree to optimize the calculation of similarity, and uses the concepts similarity replace the items similarity. The hypothesis of this new algorithm is that the customers tend to purchase products according with themselves. So if a customer has selected a product, then he or she is more likely to choose a similar product. Finally, we implement this algorithms improvement by c#. Experimental raw data is got from tablet PC reviews of JingDong Mall. We process the product feature scores and get the recommendation results based on the reviews mining. The experiment data proves that the recommendation result is reasonable.