Applied Mechanics and Materials Vols. 568-570

Abstract: Aiming at enhancing the portability of the smart home management, it is an effective way to use the mobile terminal such as the mobile phone to control the smart home remotely. In addition, properly designed application on the mobile phone can give convenience to monitor the smart home as well as improve the user experience. In this paper, after a comprehensive analysis to the functions of the smart home, a related application based on Android is presented using the scheme of modular design. The application has the functions of monitoring the remote data and controlling the appliances in a long distance. Meanwhile, it can also realize the access control. The test of the application shows that it can receive the sensor data timely and make a proper control of the appliances, which means that it has realized the desired targets.

Abstract: The k-dominant skyline query which can return small result set in high dimensional space is very convenient for user to make decision. But all the existent algorithms are for single dataset, not suitable for two or more datasets being combined. To solve this problem, this paper proposed a new idea to get the new k-dominant skyline by computing the partial points of each dataset based on their existent k-dominant skylines. Furthermore, detailed theoretical analyses and extensive experiments demonstrate that the algorithms can effectively reduce redundant work, and keep the result correctly.

Abstract: Large-scale data streams processing is now fundamental to many data processing applications. There is growing focus on manipulating Large-sca le data streams on GPUs in order to improve the data throughput. Hence, there is a need to investigate the parallel scheduling strategy at the task level for the Large-scale data stream s processing, and to support them efficiently. We propose two different parallel scheduling strategies to handle massive data stream s in real time. Additionally, massive data stream s processing on GPUs is energy-consumed computation task. So we consider the power efficiency as an important factor to the parallel strategies. We present an approximation method to quantify the power efficiency for massive data streams during the computing phase. Finally, we test and compare the two parallel scheduling strategies on a large quantity of synthetic and real stream datas. The simulation experiments and compuatation results in practice both prove the accuracy of analysis on performance and power efficiency.

Abstract: With the rapid progress of Web 2.0, E-Learning has evolved into E-Learning 2.0, which has been highlighted as an effective method for interactive learning. To improve the efficiency of learning, many researches focused on the personalized recommendation for knowledge sharing. However, these researches proposed the general recommendation system without considering the current knowledge sharing status in E-learning 2.0 communities. Therefore, the purpose of this study is to proposed recommend strategies according to characteristics of E-Learning communities based on social network analysis. Firstly, knowledge activity nodes in E-Learning communities are identified into four types. Secondly, based on four node types, E-Learning communities are classified into four corresponding types. Then, different recommend strategies are provided according to the types of E-Learning communities. Finally, conclusion and future research direction are discussed in the end.

Abstract: There are some issues in the manual test of UOF/OOXML Translator, such as the low efficiency, difficult measurement of test case coverage and project delay. This paper brings about the automated testing process model based on the manual V model of UOF/OOXML Translator, and proposes the implementation scheme of automated testing process through analyzing test case automatic generation, test case management, automatic contrast of function points and defects management. The experiments have shown that this model can effectively manage test cases and defects, and even replace manual testing partly. Besides, this model can improve testing efficiency and reduce test workload, preventing the defects occurring in the late project stage.

Abstract: Social tagging systems allow Internet users to annotate resources with tags. Internet is an open system, which permits users the freedom to explore tags. However, the freedom afforded users comes at a cost: an uncontrolled vocabulary can result in tag ambiguity hindering navigation. So, a key question is how to harvest tag semantics from these systems. We present an algorithm of hierarchical tag clustering. With this algorithm, we clustering the tags into a semantic tree, then we turn every resource item into an induced tree. We propose a new method for resource retrieval, which based on semantic similarity. We present extensive experimental results on a real world dataset. When we retrieve the resource based on semantic similarity, our algorithm shows the high recall and precision. Furthermore, our algorithm demonstrates more utility for recommendation.

Abstract: This paper presents a unified personnel management system modeling language design. Unified Modeling Language is the use of object-oriented visualization, documentation and other standardized modeling language. The system uses the most popular B / S architecture, the choice of Microsoft's ASP.NET web development carried foreground, background database selected Microsoft SQL2005, through a combination of the two can give full play to the efficiency of personnel management software and have security features.

Abstract: This paper focuses on the use of computer-aided design system design decorative material library, study the specific programs to improve system efficiency and simplify the user's operation, focusing on the part of the interface design. Finally, we summed up the prospects and applications decorative art computer-aided design systems, and analysis of the current shortcomings and future research directions of the program.

Abstract: This paper puts forward a multilevel algorithm of Chinese sentence similarity on the basic of predecessors' research. The algorithm considers disordered similarity and ordered similarity: disordered similarity is obtained by computing the ratio of synonyms after Chinese segmentation; ordered similarity is got by calculating the corresponding similarity of component location words. Meanwhile, the sentence pattern conversion is also considered, and if it be a Chinese question, sentence mood parameter need to be used to modify the result. Finally the algorithm rationality is verified by contrast experiment.

Abstract: With the rapid development of wireless communication networks and mobile terminal technology, it has an important significance for improving the cultural quality of farmers and the rural information level that researching the key technology of personalized learning for farmers based on wireless network. The research progress of personalized service was introduced based on reading a large number of domestic and foreign related research literature. The personalized recommendation technology, the recommendation algorithm and measure method was given in the research of personalized technology. The personalized recommendation system was designed and tested, the result could need the users need. Finally the problems and future research directions in the personalized system is summarized.