Advanced Materials Research Vols. 756-759

Abstract: This paper presents the design and development of a Mobile Augmented Reality Map (MARM) which shows map information on the real world video rather than a plane. The proposed system uses wireless Geographic Information System (GIS), and video camera and gyroscope of a smart phone. MARM has the advantage of GIS and the convenience of mobile phones, and is an extremely intuitive way to use map.

Abstract: In view of the problems existing in the blended learning model, this paper presents a mobile blended learning system using mobile and wireless communication technology and context-aware Technology, and discusses the structure, functions and key technologies of the system. This system can get information about learning to use context-aware function, so as to provide adaptive learning contents and service in an intelligent way for learners.

Abstract: This paper, based on the characteristics of the chaotic dynamics system, by analyzing the characteristics of many chaotic dynamics model in image encryption and screening studies such as comparison (computer simulation experiment), combined with some specific practices of modern encryption system, regards the chaotic signal as the carrier hiding image information, for the purpose of image encryption. It regards chaotic system as a pseudo-random sequence generator, uses the way of compounding multiple chaos, combined with image replacement technology, designs image encryption algorithm of practical value and completes the development of the experimental system of image encryption

Abstract: This paper first analyzes the application area and development of video surveillance system. It analyzes the development trend of current video surveillance system,which is a gradual transition from underdeveloped digital analog hybrid application into digital system . Next, it introduces the development platform of embedded system on Linux. It first expounds what is embedded system. Next it introduces selection processes of hardware platform processor and software operating system from the point of view of hardware and soft ware respectively. In the end,it puts forward a overall design scheme of digital video surveillance system on the basis of combining embedded hardware platform. This scheme basically involves two aspects:the first is the design of the interface between front-end equipment and center platform and the processes of all interfaces basecd on HTTP+XML protocol.

Abstract: Online storage and sharing for large-scale DICOM images becomes increasingly important for medical organizations or large hospitals. This paper presents a distributed architecture based on Hadoop and HBase to support online storage and sharing for DICOM images. An experimental system called CloudDICOM is designed and realized based on this architecture. The paper focuses on designing the architecture, workflow, data schema, and then on analyzing the components in CloudDICOM. Firstly, DICOM messages sent by clients will be received, converted and stored into Hadoop and HBase. Then, these messages will be indexed and generated query and WADO index database. The components of DICOM query and WADO based on this index are implemented to provide online DICOM query and WADO service for clients. The test results demonstrate that CloudDICOM can provide online storage and sharing service for large-scale medical images, and support standard DICOM Query and WADO service.

Abstract: China's supply and marketing cooperatives play an important role in the depth of management for the agriculture, rural areas and farmers service and agricultural and sideline products. This paper analyzes the plight of this industry to participate in agricultural and sideline products business and the problems of enterprises in operating management and financial management, and finally puts forward suggestions and countermeasures from six aspects.

Abstract: This paper analyzes the structure of the whole system, namely, how different users according to their own characteristics of its initiative to provide users with relevant information and content and to establish individual user model, based on user behavior to build personalized user model.

Abstract: It is a complex problem that forecast and control the shrinkage and creep of concrete and influence on the performance of the structures.Through the conmparion of all kinds of common model,the article have also analysed the main influence factors about the concrete shrinkage and creep effect . The results showed that JTJ 85 model for shrinkage and creep effect tends to conservative calculation; the creep coefficient and shrinkage strain of JTG D62 model and the CEB-FIP model were basically consistent; and ACI 209 model underestimated the concrete shrinkage and creep effect. Theoretical depth of components was more sensitive to concrete shrinkage strain, and creep coefficient was smaller sensitivity; The effect of concrete creep increases with the decreasing of age at loading, when age of loading percentage increased from three to 28 days, the concrete creep effect of the terminal value reduced about 80%; The influence of environment average relative humidity on shrinkage and creep effect is more sensitive, when environment average relative humidity increased from 50% to 80%, creep coefficient nearly reduced about 30%,and shrinkage strain decreased 50%, in comparison, the influence of environment relative humidity chance on the concrete shrinkage effect is greater than that on creep effect.

Abstract: SQL Server supported execution of multiple SQL statements at a time, these statements as a whole is called a batch. The features of batch execution plan is different from that of single statement execution plan. This paper discussed the recompilation and the rebuilding of batch execution plan. By detailed experiments, it shown the differences between plan recompilation and rebuilding and the main events resulting in the plan recompilation and rebuilding.

Abstract: In order to ensure the healthy safety of edible lettuce, an identification way of pesticide residues of lettuce leaves is studied. Soilless cultivation of lettuce sample was adopted. At tillering stage, various levels of fenvalerate were sprayed to different groups of lettuce, lettuce leaves accompanied by a collection of pesticide residues and lettuce leaves not sprayed pesticide residues were collected, Hyperspectral Information of each blade leaf were collected and lettuce leaves sample spectral library was set up. Randomly 90 samples were selected as training samples, and the classification models based on BP neural network and LVQ neural network were set up. The remaining samples were taken to forecast classification test. Results showed that, the prediction identification correct rate of LVQ neural network model is 98.3607%. The algorithm is suitable for pesticide residues diagnosis of lettuce leaves.