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The microseismic (MS) monitoring in the coal mining provides a powerful method to identify the coal mine geological hazards as well as to prevent against the illegal mining. The challenge of MS monitoring is to extract characteristics of interest from the collected raw MS signals and locate the MS events using effective algorithms. In order to improve the localization accuracy of microseismic sources,...
In this paper, we propose a new adaptive cooperative tracking control algorithm for a class of uncertain nonlinear multiagent systems with unknown control coefficients. It is assumed that there exist parametric uncertainties and unknown dynamics with the informed agent as well, and only a limited number of agents have the access to the state value of the informed agent. The proposed adaptive cooperative...
In this paper, we propose to learn LIfestyles of mobile users via mobile Phone Sensing (LIPS), and we develop a system and algorithms to realize this idea. First, we present the workflow and architecture of our system, LIPS. Combining both unsupervised and supervised learning, we propose a hybrid scheme for lifestyle learning, which consists of two parts: characterization and prediction. Specifically,...
In this paper, a new distributed adaptive control for a class of multiagent systems with model uncertainties is proposed to track the desired trajectory specified by an informed agent. It is assumed that there also exist parametric uncertainties and unknown dynamics with the informed agent. Linearly parameterized approximators are employed to estimate these unknowns and only part of agents needs to...
Limited research efforts have been made for Mobile CrowdSensing (MCS) to address quality of the recruited crowd, i.e., quality of services/data each individual mobile user and the whole crowd are potentially capable of providing, which is the main focus of the paper. Moreover, to improve flexibility and effectiveness, we consider fine-grained MCS, in which each sensing task is divided into multiple...
In order to extend the available spectrum to deal with the dramatically increasing data traffic, unlicensed spectrum, e.g., 5 GHz, is considered by the mobile operators as a complement in addition to licensed spectrum. The licensed-assisted access using Long Term Evolution (LAA-LTE) in unlicensed spectrum has been studied in the 3rd Generation Partnership Project (3GPP) Release 13 to achieve more...
In a mobile crowd sensing system, a smartphone undertakes many different sensing tasks that demand data from various sensors. In this paper, we consider the problem of scheduling different sensing tasks assigned to a smartphone with the objective of minimizing sensing energy consumption while ensuring Quality of SenSing (QoSS). First, we consider a simple case in which each sensing task only requests...
Cognitive spectrum sensing is a key technology to improve the spectrum utilization and meanwhile decrease the possibility of interfering the primary users(PUs). Based on the cooperation of several cognitive radio sensors(CRSs), the channel fading and hidden terminal problems are avoided. The performance of detection has great relevance with the algorithm of combining the data from different CRSs....
Reliability is one of the most important target in airplane designing, the redundancy technology is universally used in servo-actuator system of civil aircraft's Fly-by-Wire System (FBWS). In order to attain a high reliability, firstly the system structure is designed and redundancy allocation is given, accordingly the redundant management strategy and realization are described in detail. Based on...
Traditional classification algorithms used in remote sensing images have many problems, such as the low operation speed, low accuracy and difficult convergence. Support Vector Machine (SVM) is a new machine learning method of statistical learning theory based on small samples of machine learning rules. This paper deals with the remote sensing image classification by the support vector machine, using...
The method of traditional stereo positioning for airborne SAR image is based on the image direction that the two strip images are used for stereo images. A new method is proposed based on the object direction aiming at the demand of the stereo mapping for airborne SAR image. Using the method, the single SAR image and DEM data are enough comparing with the traditional method that the two SAR images...
The performance of data acquisition systems has been increasing steadily to cope with the need for continuous improvement in manufacturing floor and machine efficiencies. The Ethernet network has become the most popular network in data acquisition systems to reduce media costs and achieve the higher performance. This paper presents the development of a standard network data acquisition system that...
This paper discusses the realization of Adaptive Traffic Load slotted MACA in cellular based M2M communication. Based on the statistic information of the channel's occupancy rate, the base station estimates the traffic load and calculates the RTS transmission probability and broadcast to the members. By using the ATL S-MACA we control the access of the terminals to the system for high arrival rates...
Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in Cognitive Radio (CR). However, its performance may suffer from the noise uncertainty, which is portrayed by the SNR wall in some literatures. In this paper we analyze the spectrum sensing performance under noise uncertainty and propose a new approach to obtain the SNR wall. In addition, a suboptimal liner...
Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in Cognitive Radio (CR). However, few studies make mention of wavelet transform based signal processing before energy detection. In this paper, a novel cooperative energy spectrum sensing algorithm with 1-D or 2-D wavelet denoising is proposed. The 1-D wavelet denoising is performed at each sensing node, while...
The employment of the diamagnetic levitation strategy by MEMS inertial sensors and energy scavengers is analyzed as an alternative to traditional mechanical suspensions, with special focus on performance improvements in accuracy and efficiency. The basics of the diamagnetic levitation are described. Both analytical and numerical simulation approaches are presented, followed by validation of the predicted...
Opportunistic spectrum access system allows the secondary user to access spectrum holes not being utilized by the primary user. Traditional opportunistic spectrum access approaches only sense and utilize current spectrum holes. This can result in uncontrollable collision probability, which exceed the maximum collision probability allowed by the primary user network. In this paper, we consider a cognitive...
In OFDM-based cognitive radio systems, the interference power limits of the primary users (PUs) introduce subchannel transmit power constraints for the secondary user (SU). The power allocation among the subcarriers of SU should be subject to both the sum transmit power constraint as well as the transmit power constraint of each subchannel. Different from previous works, we deal with a more general...
In this paper, asynchronous sampling is proposed as a novel approach to improve the information quality of sensory data through shifting the sampling moments of sensors from each other. The exponential correlation model and the entropy model for the sensory data are introduced to quantify their information quality. An asynchronous sampling strategy, EASS, is presented accordingly to assign equal time...
Pb1-xSrx (Zr0.53Ti0.47) O3 (PSZT) thin films have been fabricated on Pt/Ti/SiO2/Si substrates by a sol-gel method combined with a rapid thermal annealing process. It is shown that the introduction of Sr2+ into the PZT thin films favors the growth of (111) orientation. The orientation ratio of (111) is increased from 0.304, 0.475 to 0.849 with the increase of the x value. The dielectric measurement...
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