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This article investigates a mobile control problem for a class of stochastic distributed parameter systems with moving boundaries by using mobile sensor-actuator networks(MSANs). The network induced randomly missing measurements among the sensors are introduced for their universal existence in sensor networks. The collocated sensor-actuator networks which can travel throughout the spatial domain are...
In this article, a mobile control scheme is proposed for a class of stochastic distributed parameter systems with time-dependent spatial domains with the aid of a mobile actuating device equipped with a simple output feedback controller. The almost locally distributed state information is assumed to be provided by sensors dotted about the spatial domain where the moving actuating device is able to...
Urban traffic congestion state detection has been a problem of concern at home and abroad. The mainstream and traditional ways to detect traffic congestion state include manual survey, fixed traffic information collection technology and mobile traffic information collection technology. These methods all have obvious flaws such as the sample size of these methods is limited and additional equipment...
The increasing of mobile devices results in the recent mobile big data era. A large number of useful information can be extracted from mobile big data. Extracting the residents' activity information from mobile big data is more and more popular in recent years because of its lower cost and higher accuracy. In this paper, we propose an algorithm to mine some meaningful residents' activity information...
Mobile network security and management are becoming important issues, due to the rapid development and widespread of the mobile network. Application traffic identification is a critical technology to resolve these issues. A variety of traffic classification methods on desktop applications are no longer effective in mobile network, because the majority of mobile traffic is carried over HTTP without...
Activity recognition based on mobile devices has been used in a wide range of applications, including health monitoring, mobile context-aware and inertial positioning. However, the single-layer classifier model cannot accurately recognize users' physical activity due to the diversity of activities. This paper described and evaluated a model with hierarchical classifiers for activity recognition. To...
There are many new issues in human activity recognition using smart phone with built-in acceleration sensors, such as variations of the location and orientation of smart phone. This paper presents a smart phone position-independent activity recognition model based on frequency domain. First, we analyzed FFT curve of Resultant Acceleration in different mobile positions and different activities. The...
Many mobile applications such as games and social applications are emerging for mobile devices. These powerful applications consume more and more running time and energy. So they are badly confined by mobile device with limited resource. Since cloud infrastructure has great potential to benefit task execution, this paper presents SmartVirtCloud (SmartVC). A system can offload methods in applications...
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