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In order to improve the tracking accuracy of maneuvering targets and obtain more accurate real-time position and velocity information of the targets, an improved interactive multi-model tracking algorithm is proposed. Based on the traditional interactive multi-model, this algorithm introduces adjustment parameters associated with target features. The target feature data is used to provide a limited domain for the initial data, and then the adjustment parameters are added to the filter, so as to complete the optimization of the tracking accuracy by the iteration of the target state gain matrix and the covariance matrix. Experimental simulation analyzes three common states of maneuvering targets and compares them with traditional interactive multi-model tracking algorithms. The experimental results show that, when the deflection angles of the adjustment parameters of the algorithm are 4°, 2° and 1°, the mean root mean square errors are 15.91 m, 11.79 m and 11.39 m respectively, which are significantly better than the traditional algorithm's mean value of 21.39 m. At the same time, with the improvement of parameter setting accuracy, it has a certain inhibitory effect on the error fluctuation caused by the maneuvering target state. [ABSTRACT FROM AUTHOR]

Through active sense, intelligent analysis and feedback control, Internet of Things enforces the identification, monitoring and management of objects, which is successfully applied in many areas. However, there exists some issues in the development, such as decentralization, disorder, lack of system programming, duplicate construction, etc. We review the history of Internet of Things, analyze its technology architecture and related work. Then, the framework of IRC4IOT(Intelligent Resource Center for Internet of Things)is proposed to provide fundamental support for enabling the resources sharing, improving the resources utilization, and solving redundant construction through the convergence, integration, analysis and rebuilding of resources. The key technologies of how to join sensor devices into resource center and how to integrate and manage the resources are discussed. Finally, the cases in agriculture Internet of Things demonstrate the effect of the proposed framework. [ABSTRACT FROM AUTHOR]

In order to facilitate on demand resource sharing and cross-organizational collaboration in E-Government systems, the paper proposes a cloud-service based framework (EGovCloud), which utilizes the virtual resource repository to realize resource physically distributed storage and logically centralized management. E-Government metadata specifications are constructed as a unified semantic infrastructure and therefore support cross-organizational heterogeneous resource sharing and management. We explore the architecture of EGovCloud and the key technologies involved, and demonstrate the applications in constructing E-Government systems. [ABSTRACT FROM AUTHOR]