Learn More
With the ever increasing number of functional similar web services being made available on the Internet, how to leverage, aggregate and make use of individual component's quality of service(QoS) information to derive the optimal QoS of the composite service which meets the needs of users is still an ongoing hot research problem. In this paper, the current(More)
The Internet of Things has been widespread concerned in recent years. This paper introduces the concept and current status of Internet of Things technology, analyzes the key technologies in research, including RFID, sensor technologies, embedded intelligence and nanotechnology, and discusses the existing architecture. Finally, we proposed a new address(More)
Static and dynamic multiobjective topology optimization of trusses with interval parameters is investigated. The uncertain parameters of the trusses are described by an interval model. The multiobjective topology optimization model of trusses with interval parameters is constructed. On the basis of Taylor expansion and natural interval extension, the stress(More)
this paper briefly describes the development platform and development tools of mobile phone software J2ME, analyzes the inconveniences existing in current road administration and highlights the design philosophy of the mobile phone client-side software, its application in road administration law enforcement and the development prospects.
In order to reduce computer storage requirements for kernel matrix and the computational costs for floating point operations in kernel machine learning, compactly supported radial basis function is used for kernel machine to construct sparse kernel matrix. This paper deals with evaluation and comparison of compactly supported radial basis function for(More)
Active learning and semi-supervised learning are both important techniques to improve the learned model using unlabeled data, when labeled data is difficult to obtain, and unlabeled data is available in large quantity and easy to collect. Combining active learning with a semi-supervised learning algorithm that uses Gaussian field and harmonic functions was(More)
To satisfy the requirement of making scientific decision quickly and correctly in distributed network environment, a Meta Web Service based Distributed Model Management and Composition Approach is proposed. The Overall framework of Meta web service is designed, and each component is analyzed. An improved model service matching algorithm is given. Utilizing(More)