Applied Mechanics and Materials Vols. 291-294

Abstract: Electronic commerce is growing rapidly in popularity because of its high efficiency, convenience and low cost. However, E-businesses need more in-time and correct related information about customer in order to provide the service of specific aim on business process. The service of specific aim is very important for e-business to attract new customer and maintain steady customer. The recommendation method based on interest association rule in EC proposed in this thesis can predict the interest of customer according to the analysis the customer’s interest to do personalized recommendation. The recommendation method can improve recommendation level with the clear aim to get good effect.

Abstract: The chip-multiprocessor (CMP) have been main stream of current processors, and it integrates the multi-core into the chip so that it can make full use of the growing transistor resources; in the meantime the further development and utilization make the thread level parallelism become possible. In CMP structure Cache plays a more and more important role. So we introduce some new cache technology in this paper.

Abstract: A new DWT (Discrete Wavelet Transform) algorithm is proposed based on data storage. Since the image data stored in the memory position with the image itself are unrelated. The focus of the research is on the image data in memory, relegating the traditional algorithm which is based on the entire image. The image data is divided into the appropriate data blocks, and DWT is carried out for each block independently. At the same time, taking into account the watermark invisibility and robustness and in order to improve the watermark safety and concealment, watermark is encrypted before embedding. Synthetic application of data segmentation, watermark scrambling and multi-resolution analysis in the algorithm is effected. Not only is watermarking invisible, but also has a better robustness for image processing such as noise, filtering, shearing, and so on.

Abstract: Business model plays a crucial role in the process of development of online group-buying industry. In this paper, we choose Juhuasuan as research object and analyze its constitute factors and operation mechanism of business model using grounded theory and qualitative analysis software Nvivo 8 based on a database constructed with interviews , collected data. We find that: a)Compared to Osterwalder’s business model, online group-buying enterprise business model covers environment and social responsibility;b)Resources acquisition, value creation and cost-to-income constitute online group-buying enterprise business model;c) Resources acquisition and cost-to-income provide a bracket to online group-buying enterprise value creation and they construct operation mechanism of online group-buying enterprise together.

Abstract: A kind of soft sensing is proposed by combining empirical mode decomposition(EMD) with support vector machine optimized by improved particle swarm optimization (IPSO-SVM). EMD is a highly adaptive decomposition and can decompose any complicated signal into so called Intrinsic Mode Functions (IMF), which not only has excellent performance of feature extraction but also can reduce the dimension of the model input data space. we can extracts IMF energy feature as the input feature vectors of IPSO-SVM. Support vector machine (SVM) has been successfully employed to solve regression problem but it is difficult to select appropriate SVM parameters. A new SVM model based on adaptive particle swarm optimization (APSO) for parameter optimization is proposed which not only has strong global search capability, but also is very easy to implement. The proposed method is used to build soft sensing of diesel oil solidifying point. Compared with other two models, the result shows that IPSO-SVM approach has a better prediction and generalization.

Abstract: The completion of the design drawing has not been credited in the construction market in Korea, and the modeling information of the design phase cannot be effectively used in an estimation process. Therefore, the objective of this study is to assess the cost estimating accuracy of a BIM tool in the design process to verify its applicability. Modeling was done for a building in an actual project to evaluate the applicability, from which the causes of errors of quantity take-off were derived.

Abstract: Building a safety campus network is a significant subject which involves various aspects. Based on existing network devices, we use VLAN method to prevent part of virus and broadcast storm spread, firewall technology is used to block external risk and protect internal network. Managing access control list configuration and port binding can guarantee the security of the campus network．

Abstract: Recently, embedded systems had a tremendous impact on human life. With the development of society, making embedded devices access Internet to share the network resources is the inevitable trend of future development. This paper describes the structure of hardware platform of system, LM3S8962 processor. Then the functions of task management, interrupt management and clock management are analyzed. And by modifying and compiling these codes related with processor, μC/OS-Ⅱ will be ported on the development board, which provides software platform for design and implementation of PPP his article introduces the course of design and implementation of PPP on the software and hardware platform emphatically, including design of main module, LCP module, PAP module, NCP module and PPP module.

Abstract: Background: Facial diagnosis, an important part of clinical diagnosis in Traditional Chinese Medicine (TCM), is a method used to diagnose the functions of Zang-Fu organs by observing the color, luster, shape, and texture of faces. However, the traditional facial diagnosis mainly relies on doctors’ eyes, languages, and personal clinical experiences. Results are not only determined based on the doctors’ diagnostic skills but also by external conditions such as light and temperature. Without objective evaluation criteria, conducting studies on facial diagnosis to widen its application are difficult. To solve this problem, we should find new methods and technologies to realize the objectification and normalization of diagnosis in TCM. In this article, we discuss the results of our study on the normalized acquisition system of facial diagnosis in TCM. Some of the hardware used includes lights, image acquisition equipment, and dark boxes. The software used includes image acquisition and preprocessing. To the best of our knowledge, this study is the first to propose this system and no similar study has been reported yet. Methods: We initially introduced the hardware and the software that we used in this study. The key technologies in this system, including lighting equipment, facial diagnosis device, facial information acquisition scales, image acquisition, and preprocessing were then introduced one by one. The hardware of this system consists of a light emitting diode (LED), a digital camera, a dark box, and a computer. Each of this hardware has its special function: the LED imitates natural light; the camera records facial images; the dark box imitates the consultation room; and the computer stores the images. The software is used to acquire and adjust the images. The image acquisition system uses the computer to control the opening and the closing of the camera, the photography, and the setup of relevant index to obtain the fully automatic photography of faces and information transmission. Results: The normalized acquisition system of facial diagnosis in TCM was tested according to the following procedures. (1) The lighting uniformity of acquisition windows was tested. Results of the uniformity test showed an even distribution of the illumination on the opening of the dark box for facial complexion collection. (2) TCM experts valuated the acquisition environment. The four features basically tallied among the different diagnoses of doctors, in which the lowest consistency was 75% for the lip color and the highest was 95% for the moist/dry lips. These data showed that the LED the natural light can be used efficiently in the image collecting process. (3) The correction of collected images was tested. The sum of the Euclidean distance between the uncorrected color and the standard color was 1296.345, whereas the sum between the corrected color and the standard color was 403.527. The maximum distances before and after correction were 163.68 and 44.69, respectively. The minimum distances before and after correction were 13.3 and 5.9, respectively. (4) We collected 4050 photos of patients using this system, which was proven to be stable. Conclusions: This article introduces an automated acquisition system of facial diagnosis in TCM. The safety of the system can be ensured. By comparing TCM under natural light and in the dark box, this system meets the requirements of clinical application in all of the collected samples (more than 4050). The acquisition system of facial diagnosis in TCM has also been applied efficiently in a few hospitals.

Abstract: Along with the constant evolution of the world economy, the global economic crisis which was following the United States sub-prime loans crisis has entered “post crisis era”. However, it is still not resolved that this crisis has highlighted the problem of abnormal inner structure of clusters enterprise value chain in our country, and some developmental obstacles coexist in the cluster enterprises. This article addresses the realities of the “post crisis era” with value network and Grid as the starting points and puts forward a symbiotic path of cluster enterprises value chain, and then provides a theoretical basis for the decision about the symbiosis.