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Beijing, China

Chen B.,Iowa State University | Zhang L.,Iowa State University | He Y.,NEC Laboratory
IEEE Power and Energy Society General Meeting | Year: 2015

Demand side management has attracted a lot of attention as a method to regulate customer behavior and improve system reliability. In this paper, we solve the day-ahead energy pricing problem in the distribution electricity system by taking into account the fact that customers can change their consumption behavior in response to price changes. We propose two pricing models under two different scenarios. In the first scenario, customers' consumption profiles at different prices are available data. We propose an integer programming model to maximize the revenue of the utility company. In the second scenario, we assume only the consumption profiles at the current price, which is static, are available. A game theoretic bilevel optimization model is built to describe the relationship between electricity price and customers' behavior. We then compare and analyze the results of the two models. © 2015 IEEE. Source


Djordjevic I.B.,University of Arizona | Jovanovic A.Z.,University of Nis | Peric Z.H.,University of Nis | Wang T.,NEC Laboratory
Optics InfoBase Conference Papers | Year: 2014

An optimized-vector-quantization-based signal-constellation-design (OVQ-SCD) suitable for multidimensional-optical-transport is proposed, in which signal-constellation-radiitransformation-function is optimized and near-uniform-distribution of points is achieved. The OVQ-SCDs significantly outperform corresponding counterparts and can be used to enable beyond 1Pb/s serial-optical-transport. © 2014 OSA. Source


Huang R.,NEC Laboratory | Cao Z.,CAS Institute of Automation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Optical inspection techniques have been widely used in industry as they are non-destructive, efficient to achieve, easy to process, and can provide rich information on product quality. Defect patterns such as rings, semi-circles, scratches, clusters are the most common defects in the semiconductor industry. Most methods cannot identify two scale-variant or shift-variant or rotation-variant defect patterns, which in fact belong to the same failure causes. To address these problems, a new approach has been proposed in this paper to detect these defect patterns in noisy images obtained from printed circuit boards, wafers, and etc. A median filter, background removal, morphological operation, segmentation and labeling are employed in the detection stage of our method. Support vector machine (SVM) is used to identify the defect patterns which are resized. Classification results of both simulated data and real noisy raw data show the effectiveness of our method. © 2013 Springer-Verlag. Source


Zhuang H.,Huawei | Zhang J.,Huawei | Yu G.,Zhejiang University | Wang C.,NEC Laboratory | Daneshmand A.,AT and T Laboratory
Proceedings - IEEE Symposium on Computers and Communications | Year: 2010

Relay Stations (RSs) selection and spectrum allocation is a very important problem in cognitive Multi-hop Cellular Networks (MCN). In this paper, we propose a practical joint RS selection and spectrum allocation scheme to maximize the system capacity while fairness is guaranteed. In the proposed scheme, Mobile Stations (MS) are adaptively and optimally selected to be RS based on spatiality of spectrum sets and multi-hop links. Further, we simplify the optimal scheme and propose the RS non-deterministic heuristic algorithms and then compare with conventional RS predetermined algorithm in which RS are predefined before joint RS selection and resource allocation. Simulation results show that the RS nondeterministic algorithm outperforms the conventional RS predetermined algorithm in terms of spectrum efficiency. © 2010 IEEE. Source


Wang J.,Nanjing Southeast University | Zhu D.,Nanjing Southeast University | Zhao C.,Nanjing Southeast University | Li J.C.F.,NEC Laboratory | Lei M.,NEC Laboratory
IEEE Communications Letters | Year: 2013

The benefit of device-to-device (D2D) communication hinges on intelligent resource sharing between cellular and D2D users. This letter aims to optimize resource sharing for D2D communication to better utilize uplink resources in a multi-user cellular system with guaranteed quality of normal cellular communications. Despite the nonconvex difficulty, we provide an analytical characterization of the globally optimal resource sharing strategy, and furthermore propose two suboptimal strategies with less complexity. The superiority of the proposed resource sharing strategies is demonstrated through numerical examples. © 1997-2012 IEEE. Source

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