Embedded smart camera networks represent an emerging direction of next generation surveillance systems.A big challenge to implement computer vision applications on embedded cameras is the limit of memory and computati...
详细信息
ISBN:
(纸本)9781479947249
Embedded smart camera networks represent an emerging direction of next generation surveillance systems.A big challenge to implement computer vision applications on embedded cameras is the limit of memory and computational *** background subtraction algorithms play a fundamental yet significant role of most computer vision applications,their memory requirements and computational efficiency should be taken into account in the *** this paper,we propose an efficient hierarchical light-weight background subtraction approach by combining the pixel-level and the block-level background subtraction modules into a single framework so that it is capable of dealing with dynamic background *** compressed sensing theory is for the block-level module design to save memory and improve computational ***,considering the continuity of foreground objects,a novel integral filter is designed for the pixel-level module to eliminate perturbations *** results on various videos demonstrate superior performance of the proposed *** proposed light-weight algorithm only requires about 6.5 bytes per pixel,and is applicable for embedded smart ***,as each block is processed independently,it can be implemented in parallel.
In this paper, we propose an improved robust model predictive control method for uncertain polytopic systems with input saturation constraints. For the synthesis of the robust controllers, a sequence of feedback contr...
详细信息
ISBN:
(纸本)9781467374439
In this paper, we propose an improved robust model predictive control method for uncertain polytopic systems with input saturation constraints. For the synthesis of the robust controllers, a sequence of feedback control laws and a parameterdependent Lyapunov function are utilized to further reduce the conservativeness and improve control performance. The state feedback control law is obtained by the solution of the convex optimization problem involving linear matrix inequalities(LMI)at each time step. The effectiveness of the proposed algorithm is demonstrated by a numerical example.
In the cognitive radio(CR) network,the secondary user(SU) are allowed to utilize the frequency channels of the licensees primary user(PU) when these channels are not currently being *** support spectrum reuse function...
详细信息
ISBN:
(纸本)9781479900305
In the cognitive radio(CR) network,the secondary user(SU) are allowed to utilize the frequency channels of the licensees primary user(PU) when these channels are not currently being *** support spectrum reuse functionality,the SU are required to sense the channel to detect the PU activity accurately for each time *** are two parameters associated with spectrum sensing:probability of detection and probability of false *** the probability of detection,the long sensing time reduce the false alarm probability,however the left time used for transmission is *** is a trade off between the sensing cost and successful transmission *** we combined the PU activity property with the discounted utility of the SU,how to improve the SU utility under the unreliable spectrum sensing situation is still a challenge problem and rarely be *** this paper we propose a new optimal dynamic sensing policy,called sleep-sensing-transmission strategy based on partially observable Markov Decision Process(POMDP).At the beginning of each slot,the SU can choose three different possible actions:Sleep,spectrum sensing and then access the channel based on the sensing result or directly transmission to maximize the expected discounted utility in the long *** this model we have shown that the optimal strategy has a simple threshold structure,and the simulation result validate the efficiency of our policy compared with the traditional spectrum sensing and access mechanism.
This paper studied the MEWMA controllers used to control the drifted MIMO non-squared process in semiconductor manufacturing industry. We compared the performance of the existing controllers. In order to overcome the ...
详细信息
ISBN:
(纸本)9781479947249
This paper studied the MEWMA controllers used to control the drifted MIMO non-squared process in semiconductor manufacturing industry. We compared the performance of the existing controllers. In order to overcome the case that existing singular matrix in the controllers, we proposed to use the Moore-Penrose inverse when matrix is not invertible. Through analysis of the stability of the controlled process, the stability condition is not relevant to what types the input takes. At last an example shows the effectiveness of our results.
Multiple Model Predictive control(MMPC) method is an efficient strategy to deal with the strongly nonlinear system with a large operating *** sub-model selection and time-consuming online calculation are two practic...
详细信息
ISBN:
(纸本)9781509009107
Multiple Model Predictive control(MMPC) method is an efficient strategy to deal with the strongly nonlinear system with a large operating *** sub-model selection and time-consuming online calculation are two practical problems for MMPC *** paper develops an offline multiple model predictive control method to solve such ***,we utilize the gap metric to measure the difference between two linear models and present a neighborhood estimation *** a class of linear models is established to approximate the nonlinear *** on the robust constrained MPC algorithm,we design a local off-line model predictive controller for each *** the offline part,a sequence of discrete states is chosen and the corresponding feedback gains are *** the online part,the control law is easily acquired by selecting the gain according to the current *** offline approach can reduce the online computation burden and be suitable for the fast time-varying *** that,a switching rule between each sub-model is proposed to guarantee the global ***,the presented procedure is illustrated with the simulation example of a continuous stirred-tank reactor(CSTR).
Tunnel boring machine(TBM) is widely used in long deep tunnel construction with its advantages of high efficiency, safety and low manpower. Cutterhead driving system provides power for excavating rocks and is an impor...
详细信息
ISBN:
(纸本)9781467374439
Tunnel boring machine(TBM) is widely used in long deep tunnel construction with its advantages of high efficiency, safety and low manpower. Cutterhead driving system provides power for excavating rocks and is an important component of TBM. Since the cutterhead system is driven by multiple induction motors, the synchronization control of multi-motor is critical important for high efficient excavating. The driving motors have to bear different excavating loads due to the uneven distribution of soils acting on the cutterhead surface. In this paper, all the driving motors are divided into two regions and a regional coupling based synchronization control strategy is proposed for the TBM cutterhead system. The dynamical induction motor model for vector control is established through coordinate transformation. The synchronous control of motors in each region is achieved by designing a master-slave motor control strategy. To deal with the torque difference between two regions, a fuzzy logic PID coordination controller is proposed for the master motors. Then, the synchronous control of driving motors is achieved by the presented regional coupling control strategy. The proposed synchronization control strategy is validated by simulating on multi-motor driving TBM cutterhead system for constant load torque and varying load torques, respectively. Compared with the single master-slave control, the proposed regional coupling control can achieve quicker dynamic response and better synchronization performance.
Quantifying team dynamics and predicting team performance in social physics have become increasingly important research *** this paper,the multi-model dataset of interaction networks about cooperating teams is collect...
详细信息
ISBN:
(纸本)9781538629185
Quantifying team dynamics and predicting team performance in social physics have become increasingly important research *** this paper,the multi-model dataset of interaction networks about cooperating teams is collected through wearable sensing technologies,that allows gathering information on team performance and *** on this dataset,the predictive power of team discussion dynamics is evaluated by using automatically extracted features,including team members’ aural cues,face-to-face interaction between team members and the internal dynamics of the *** factors affecting the team performance are identified and the prediction is achieved by support vector ***,the factors associated with the team performance are simplified by RReliefF algorithm to improve the efficiency of prediction.
This paper is concerned with the steel temperature estimation problem in hot strip mill. We focus on the steel bar temperature estimation during the rough rolling process with the aid of industrial wireless network fo...
详细信息
ISBN:
(纸本)9781479900305
This paper is concerned with the steel temperature estimation problem in hot strip mill. We focus on the steel bar temperature estimation during the rough rolling process with the aid of industrial wireless network for its high reliability communication and low power consumptions. However, the mobility of the steel bar and the complexity of the industrial environments have posed new challenges for the temperature monitoring. According to the steel bar's mobility, we propose a distributed sequential estimation algorithm to realize the continuous temperature tracking and gradually remove the estimation error. It consists of a cluster-based estimation algorithm and an initialized fusion algorithm, whose design are based on two criteria, namely, unbiasedness and optimality. Finally, simulation studies are presented to validate the performance of the proposed algorithm.
作者:
XU LiangYUAN JingqiDepartment of Automation
Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of China
Dynamic modeling of the utility boiler is the basis of operation optimization of the coal-fired power plant. In this paper, the boiler-side whole process dynamic models of the subcritical coal-fired unit are establish...
详细信息
ISBN:
(纸本)9781467374439
Dynamic modeling of the utility boiler is the basis of operation optimization of the coal-fired power plant. In this paper, the boiler-side whole process dynamic models of the subcritical coal-fired unit are established based on the dynamic mass and energy balance. The models cover the important heat transfer facilities on the boiler side, including the evaporation system, superheaters, reheaters, and economizer. The energy storage or release in the metal wall of these facilities and all the heat losses are also considered in the models. At last, the pseudo-online simulation based on presented models is carried out with the history data captured by the distribution controlsystem of a real coal-fired power plant. It is found that model-based calculated total input energy is in good agreement with the offline assay value, which suggests the effectiveness of the presented models. The models have the potential for online process monitoring and operation optimization of the unit.
Node removal is a phenomenon occurs frequently in various organizational networks and it is important for a network to re-organize into a new network so as to maintain its *** this paper,we focus primarily on the Orga...
详细信息
ISBN:
(纸本)9781538629185
Node removal is a phenomenon occurs frequently in various organizational networks and it is important for a network to re-organize into a new network so as to maintain its *** this paper,we focus primarily on the Organizational Network Reshaping Problem:when a node is removed from the network,which node will take its place and how the network will *** to different organizational networks,we take both node properties and topological features into *** this premise,we develop an algorithm ONRA to identify which node is the best candidate for the removed node and then reshape the *** addition,we develop an online visualization platform named 'Insight',as an easy way to use our algorithm and get the reshaping result visualized.
暂无评论