In order to integrate heterogeneous location-aware systems into pervasive computing environment,a novel pervasive computing location-aware model based on ontology is presented.A location-aware model ontology(LMO)is co...In order to integrate heterogeneous location-aware systems into pervasive computing environment,a novel pervasive computing location-aware model based on ontology is presented.A location-aware model ontology(LMO)is constructed.The location-aware model has the capabilities of sharing knowledge,reasoning and adjusting the usage policies of services dynamically through a unified semantic location manner.At last,the work process of our proposed location-aware model is explained by an application scenario.展开更多
With the continuous development of network communication technology and computer technology, parallel computer network applications becoming more widely, its reliability has attracted more attention on researcher. Thi...With the continuous development of network communication technology and computer technology, parallel computer network applications becoming more widely, its reliability has attracted more attention on researcher. This paper gives a introduction to a simple computer network, given the reliability of the design criteria for computer network analysis, and finally through the examples to illustrate the computer network hardware and software reliability.展开更多
At present time, there has been a demand for management systems that can survey and monitor a PC (personal computer) practice room, movement of people in an office, situation of utilization of facilities and so on i...At present time, there has been a demand for management systems that can survey and monitor a PC (personal computer) practice room, movement of people in an office, situation of utilization of facilities and so on in real time without causing psychological stress. For example, PC administrators in Japanese national educational institutions must report operation status of PC practice rooms once a year. But, there is currently no system for automatically recording PC operating situations. Therefore, the burden on the PC administrators is big. In this study, we aimed at systems for accurately managing the sitting and work time without psychologically stressing PC users. This time, we propose uniform management systems of sitting and work time using smart tap node and mat sensor node by IoT (Internet of Things) technology. The smart tap was connected to PCs to acquire the operating status of the PCs. In parallel with this smart tap, the mat sensor was used to acquire human presence state. By calculating binary data representing the PC operating status and human presence state from the two sensing data (smart tap and mat sensor) by the proposed technique, we can exactly calculate wasteful power consumption etc. The use of IoT technology makes it unnecessary to use large installation services when introducing our system. Therefore, this our proposal system can be easily installed even by unskilled workers.展开更多
To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model....To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model. Special rules for network training are developed. Such system is close to model-based predictive control, but needs much less computational resources. The approach advantages are shown by the control of laboratory complex plants.展开更多
基金The Key Project of Chinese Ministry of Education(No.104086)
文摘In order to integrate heterogeneous location-aware systems into pervasive computing environment,a novel pervasive computing location-aware model based on ontology is presented.A location-aware model ontology(LMO)is constructed.The location-aware model has the capabilities of sharing knowledge,reasoning and adjusting the usage policies of services dynamically through a unified semantic location manner.At last,the work process of our proposed location-aware model is explained by an application scenario.
文摘With the continuous development of network communication technology and computer technology, parallel computer network applications becoming more widely, its reliability has attracted more attention on researcher. This paper gives a introduction to a simple computer network, given the reliability of the design criteria for computer network analysis, and finally through the examples to illustrate the computer network hardware and software reliability.
文摘At present time, there has been a demand for management systems that can survey and monitor a PC (personal computer) practice room, movement of people in an office, situation of utilization of facilities and so on in real time without causing psychological stress. For example, PC administrators in Japanese national educational institutions must report operation status of PC practice rooms once a year. But, there is currently no system for automatically recording PC operating situations. Therefore, the burden on the PC administrators is big. In this study, we aimed at systems for accurately managing the sitting and work time without psychologically stressing PC users. This time, we propose uniform management systems of sitting and work time using smart tap node and mat sensor node by IoT (Internet of Things) technology. The smart tap was connected to PCs to acquire the operating status of the PCs. In parallel with this smart tap, the mat sensor was used to acquire human presence state. By calculating binary data representing the PC operating status and human presence state from the two sensing data (smart tap and mat sensor) by the proposed technique, we can exactly calculate wasteful power consumption etc. The use of IoT technology makes it unnecessary to use large installation services when introducing our system. Therefore, this our proposal system can be easily installed even by unskilled workers.
文摘To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model. Special rules for network training are developed. Such system is close to model-based predictive control, but needs much less computational resources. The approach advantages are shown by the control of laboratory complex plants.