Applied Mechanics and Materials Vols. 411-414

Abstract: The particle tracking velocimetry (PTV) algorithm is one of the most important branches in the flow visualization research. An efficient two-frame PTV based on Delaunay tessellation was updated by a novel concept called Dual Computation. The updated algorithm was tested using CFD flows with changeable parameters and random erasing of particles as perturbation. In addition to the simple structure and the minimal dependence on algorithmic assumptions, the advantages of this updated algorithm also include the high accuracy in addressing complex flows with noticeable ratio of particles having no match.

Abstract: The thesis firstly takes advantage of open source search engine (Nutch) to build the market space data warehouse and data sources, collecting agricultural products market information from the whole internet, on the basis of analyzing the existing agricultural production and market information matching system, then it puts forward the interest-model and combination matching algorithm more suitable for users in agricultural fields. At the same time, this article improves the existing matching system in the cloud computing background under the support of Hadoop distributed platform to solve the bottleneck problems such as the expanding ability of storage space and the efficiency of analysis and calculation confronted by the agricultural products market information matching system. Finally, the system makes a comparative analysis of recall ratio and precision ratio to prove its effectiveness and practical range. The aim of this paper is to make the agricultural production and market information matching system more suitable for Chinese agricultural production and marketing information system which supports the matching management decision of agricultural production circulation consumption and provides beneficial reference for the application of cloud computing technology.

Abstract: With the rapid development of E-commerce on a global scale and the cooperation between enterprises has become increasingly frequent, it has a great impact on the overall efficiency and flexibility between the organizations that strengthen combined depth and solution the problem of the mutual connection between cross-organizational business processes. This article firstly expounds the formation and its important role of cross-organizational business process, and then proposed the model for cross-organizational business process collaboration. The model proposed is modeled from two aspects, namely, management model and business model. In the end, four key problems of cross-organizational business process collaboration are further discussed.

Abstract: Location based service is one of the main application of mobile internet. Thecombination of traditional community business and mobile internet is the location-basedbusiness mode of online to offline. This article tries to analyze the mode fromfour aspects: the strategic positioning, open platform, marketing mode andprofit mode. Location-based mobile application, such as, Mobile phone map, wechat,automated check-in, etc., may add customers to the community stores, but also challengetheir service .

Abstract: It is widely accepted that cloud computing as a new technology can effectively promote e-government application. Nowadays, China is actively promoting the applications of e-government public cloud. In order to accelerate its step, it is necessary to find critical influence factors of implementing e-government cloud. We analyze current situation of Chinas e-government and existing cloud computing technologies, and discuss the importance of cloud computing to e-government. Meanwhile, combining with the practical issues of implementing e-government cloud, we analyze existing factors of e-government and propose an influence factor model of implementing e-government cloud in China based on Gil-Garcias critical factor of e-government. Furthermore, it articulates suggestions for further research and provides the foundation for research of this field.

Abstract: The main purpose of this study is to identify the critical factors that affect shopping intention of consumers while using smart digital content technology at a retail store. Through verifying the factors in the test model proposed by this study based on the technology acceptance model, we performed structural equation modeling method to test the model and collected data from 209 customers to evaluate the proposed model. The results of this study strongly support that the simplification of user interface and proper information feedback are the important factors to affect the customers intention to use smart digital content information technology.

Abstract: Many crucial business application system established on information products abroad for a long time, especially foundation software abroad. How to guarantee the information security of our country become the outstanding problems. On the field of E-government, it is the urgent issues of adopting domestic foundational software to guarantee government information security. But the development of our domestic foundation software appears late. It shows the problems of instability, interface unfriendliness, weak compatibility and poor performance partly on the application of E-government, Domestic foundational software should increase the functions of usability, reliability, security, suitability and globality. This paper explores transplantation, adaptation and optimization of domestic foundational software which was faced by E-government system. It provides the difference of technical demand and experience summary between the environment of domestic foundational software and foundational software abroad in order to enhance the application level of E-government on domestic foundational software environment. At the same time, it explores the technology optimization and function maturation which are needed to do on the field of E-government application area which was faced by domestic foundational software. It aims at increasing technical level and technical maturity of domestic foundational software in order to provide beneficial advices for domestic foundational software of large-scale applications and industrial development in E-government field.

Abstract: With the development of the Internet, more and more customers buy apparel online. This paper investigated Chinese college students lifestyle, and on this basis, the Chinese college students were divided into four categories with the method of factor analysis and cluster analysis, namely, Individualistic Shopper, Fashion Follower, Price-sensitive Shopper, and Fashion Shopper. After that, this paper researched which kind of apparel products these four styles of college students have purchased online and believe suitable to purchase online.

Abstract: For video websites, advertising is an important method to earn operating funds. They always increase advertising to get more profit. Thus it may have a negative effect on user experience. In order to know how to reduce the negative effect, this paper offers a system dynamics method to analyze the relationship between advertising on video website and user experience. The model highlights six factors that affect user experience: level of advertising design, number of ads, level of website design, degree of advertising hidden, length of ads and degree of advertising mandatory. Real data are collected through financial reports and survey. Based on the simulation results, some opinions and suggestions for advertising are put up.

Abstract: The popularity of smartphones created a trend of downloading and utilizing mobile applications (apps). They are constantly used and have become one of the main applications in daily life. In both platforms of IOS and Android, free apps have the higher proportion of the software market. To explore the download intention of apps is the focus of industry and academic research. The connections, convenience, consumer experience, and other factors are critical to the users. For the convenience of sampling method, this study sent out Chinese online questionnaires to target smartphones users and their experience using apps. The author collected 76 effective samples and inferred that smartphone users download the apps due to curiosity (curiosity about the novelty of the titles), perceived values (willing to spend time on learning), and self-efficacy (bringing convenience and functional simplicity to life), but not for aesthetic reasons (appreciating the well-designed icons).