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IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Italo Atzeni Luis G. Ordóñez Gesualdo Scutari Daniel P. Palomar Javier R. Fonollosa Signal Processing and Communications Group Universitat Politècnica de Catalunya Barcelona Tech Spain Department of Electrical Engineering State University of New York at Buffalo USA Department of Electric and Computer Engineering Hong Kong University of Science and Technology Hong Kong China

Day-ahead DSM techniques in the smart grid allow the supply-side to know in advance an estimation of the amount of energy to be provided to the demand-side during the upcoming day. However, a pure day-ahead optimization process cannot accommodate potential real-time deviations from the expected energy consumption by the demand-side users, neither the randomness of their renewable sources. This paper proposes a day-ahead bidding system based on a pricing model that combines: i) a price per unit of energy depending on the day-ahead bid energy needs of the demand-side users, and ii) a penalty system that limits the real-time fluctuations around the bid energy loads. In this day-ahead bidding process, demand-side users, possibly having energy production and storage capabilities, are interested in minimizing their expected monetary expense. The resulting optimization problem is formulated as a noncooperative game and is solved by means of suitable distributed algorithms. Finally, the proposed procedure is tested in a realistic setup.

关键词： Games Load modeling Energy consumption Production Aggregates Energy storage Pricing

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Generalized geometry-based optimal power control in wireless networks

Generalized geometry-based optimal power control in wireless...

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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Wei Wang Kang G. Shin Zhaoyang Zhang Wenbo Wang Tao Peng Department of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Information Network Technology University of Zhejiang Hangzhou China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Wireless Signal Processing and Networking Laboratory Beijing University of Posts and Telecommunications Beijing China

Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel visual perspective and lowers the complexity of optimization. We generalize this scheme to a larger class of power-control optimization problems so as to maximize the network utility with multiple average and peak power constraints in wireless networks. To facilitate the handling of the geometrical model, we define a subset of geometrical models with specified characteristics, called a regular geometrical model, and derive the type of power-control problems eligible for the regular geometrical model. For such a type of problems, two strategies are proposed for the construction of the regular geometrical model. Utilizing geometrical properties, we propose a novel geometry-based optimization scheme for the general power-control problem. Its computational complexity is significantly lower than the conventional algorithms. We also provide a further discussion on irregular geometrical model cases. Finally, we provide two examples of deploying the proposed geometry-based power-control scheme.

关键词： Optimization Silicon Computational modeling Interference Complexity theory Power control Wireless networks

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Erratum (“A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals” Neural Computation, Volume 18, Number 10, pp. 2465–2494)

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Neural Computation 2012年第4期24卷 1106-1107页

作者： Iahn Cajigas Lakshminarayan Srinivasan Neuroscience Statistics Research Laboratory Department of Anesthesia and Critical Care Massachusetts General Hospital Charlestown MA 02129 U.S.A. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 U.S.A. and Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA 02139 U.S.A. Neural Signal Processing Laboratory Department of Radiology David Geffen School of Medicine University of California Los Angeles CA 90095 U.S.A.

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Answering contextual questions based on ontologies and question templates

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Frontiers of computer science 2011年第4期5卷 405-418页

作者： Dongsheng WANG Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China Department of Computer Science Jiangsu University of Science and Technology Zhenjiang 212003 China

Contextual question answering （CQA）, in which user information needs are satisfied through an interactive question answering （QA） dialog, has recently attracted more research attention. One challenge is to fuse contextual information into the understanding process of relevant questions. In this paper, a discourse structure is proposed to maintain semantic information, and approaches for recognition of relevancy type and fusion of contextual information according to relevancy type are proposed. The system is evaluated on real contextual QA data. The results show that better performance is achieved than a baseline system and almost the same performance as when these contextual phenomena are resolved manually. A detailed evaluation analysis is presented.

关键词： Contextual question answering （CQA）,ontology question templates

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Tissue P systems with cell separation: attacking the partition problem

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science China(Information sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1Key Lab of Intelligent Computing and Signal processing of Ministry of Education, School of computer science and technology, Anhui University, Hefei 230039, China 2Image processing and Intelligent Control Key Laboratory of Education Ministry of China, department of Control science and Engineering, Huazhong University of science and technology, Wuhan 430074, China 1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China2. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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Medicine Intake Detection Using a Wearable Wrist Device Accelerometer

Medicine Intake Detection Using a Wearable Wrist Device Acce...

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2012 4th International Conference on computer Engineering and technology(ICCET 2012)

作者： Taksa-on Putthaprasart Dusit Thanapatay Jatuporn Chinrungrueng Nobuhiko Sugino Department of Electrical Engineering Kasetsart University 50 Chatuchak Bangkok Thailand National Electronics and Computer Technology Center (NECTEC) 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani Thailand Department of Information Processing Tokyo Institute of Technology G2-29 4259 Nagatsuta Midori-kuYokohama 226-8502 Japan

Medicine intake detection and feature selection algorithm are proposed in this paper. A precise medicine intake detection method is crucial in medicine intake monitoring system;it is an important factor in order to prevent the harm in the case of medicine non adherence for elderly patients or any people with chronic diseases and need to take medicine regularly. Wrist movement is the main function of intake gesture detection using a wearable 3-axis accelerometer. Activities of interest for medicine taking monitoring are drinking gesture, picking and taking medicine by hand and palm. This paper applied the eigenvalues and covariance for change detection and features selection. Eigenvalues are considered to solve the improper data truncation issue caused by a fixed window size, because respective time during those activities is very varying. Its results are satisfactory. The gestures were classified by feature characteristics with an accuracy as high as 96.7% in the case of medicine taking by palm.

关键词： Medicine Intake Detection, Features Characteristic, Eigenvalues, 3-axis Accelerometer.

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Ocean-Coast-Continent Interaction and Rain Echoes Observed by Radar

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Procedia Engineering 2012年 33卷 248-253页

作者： Nouria Lehtihet Fatiha Youcef Ettoumi Henri Sauvageot University of Science and Technology Houari Boumediene Faculty of Electronics and ComputerTelecommunications Department Laboratory Image Processing and Radiation BP No 32 El Alia Bab Ezzouar Algiers Algeria Université Paul Sabatier Toulouse Observatoire Midi Pyrénées Laboratoire d’Aérologie Centre de Recherches Atmosphériques 8 route de Lannemezan 65300 Campistrous France

Given the geographical characteristics of Bordeaux, the coastal radar installed in this region offers an opportunity to put in evidence the ocean-coast-continent interaction and the observation of the rain fields at the landsea transition. To this effect, the study site was divided into three windows of 60x180 km delimiting the ocean west of the radar and the continent to the east. A Comparative analysis of daily surfaces of rain echoes for the three study areas showed that during a very dry period the rainfall over the sea is reduced of half compared to those of the coast. On the other hand, the surfaces of rain echoes are evolving in the same way for all three areas and are more important over coast and continent that over sea, the difference is 23%. Almost the same difference was found for the rainfall rate recorded during the summer (June-September), the observation period the most favorable for our study. This difference was also verified using the model defined in recommendation ITU-R P.837-3 to calculate the rain intensity exceeded for p% for the average year and for a given location.

关键词： radar rain echo rain rate ocean-coast- continent interaction ITU-R P.837-3

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Knowledge discovery from noisy datasets

Knowledge discovery from noisy datasets

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2011 International Conference on Automation and Robotics, ICAR 2011

作者： Li, Hong Zong, Yu Chen, Enhong Key Laboratory of Network and Intelligent Information Processing Department of Computer Science and Technology Hefei University 230001 China School of Computer Science and Technology University of Science and Technology of China 230001 China

ISBN: (纸本)9783642256455

It is a significant challenges to deal with the noise data in data mining and knowledge discovery applications. Most of previous works on data cleansing and correction have been focused on addressing class noise or attribute noise for the benefit of the subsequent mining process. In this paper, we propose an error-sensitive(ES) data mining framework, which makes use of noise knowledge to restore original data distributions and accommodates noise knowledge to enhance data classification accuracy. We materialize our main idea by constructing Attribute-Decision tree and measureing correlation among attributes. Experimental results show that ES data mining procedure has ability to significantly improve the quality of data mining results. © 2011 Springer-Verlag.

关键词： Classification (of information)

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Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints

Denoising diffusion-weighted MR magnitude image sequences us...

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IEEE International Symposium on Biomedical Imaging

作者： Fan Lam S. Derin Babacan Justin P. Haldar Norbert Schuff Zhi-Pei Liang Department of Electrical and Computer Engineering and Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign USA Signal and Image Processing Institute the Dornsife Cognitive Neuroscience Imaging Center and the Brain and Creativity Institute University of Southern California USA Department of Radiology and Biomedical Imaging VA Medical Center University of California San Francisco USA

ISBN: (纸本)9781457718571

This paper addresses the denoising problem associated with diffusion MR imaging. Building on previous approaches to this problem, this paper presents a new method for joint denoising of a sequence of diffusion-weighted (DW) magnitude images. The proposed method uses a maximum a posteriori (MAP) estimation formulation to incorporate a Rician likelihood (for modeling the noisy magnitude data), a low rank model (for the DW image sequences) and a spatial prior (for imposing joint edge constraints). An efficient algorithm to solve the associated optimization problem is also described. The proposed method has been evaluated using both simulated and experimental diffusion tensor imaging (DTI) data, which yields very encouraging results both qualitatively and quantitatively.

关键词： Noise reduction Noise Image edge detection Rician channels Diffusion tensor imaging

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Effectively Discriminating Fighting Shots in Action Movies

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Journal of computer science & technology 2011年第1期26卷 187-194页

作者：马述高王伟强 School of Information Science and Engineering Graduate University of Chinese Academy of Sciences Computer Science Department Boston UniversityBoston MA 02215U.S.A. Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

Fighting shots are the highlights of action movies and an effective approach to discriminating fighting shots is very useful for many applications, such as movie trailer construction, movie content filtering, and movie content retrieval. In this paper, we present a novel method for this task. Our approach first extracts the reliable motion information of local invariant features through a robust keypoint tracking computation; then foreground keypoints are distinguished from background keypoints by a sophisticated voting process; further, the parameters of the camera motion model is computed based on the motion information of background keypoints, and this model is then used as a reference to compute the actual motion of foreground keypoints; finally, the corresponding feature vectors are extracted to characterizing the motions of foreground keypoints, and a support vector machine （SVM） classifier is trained based on the extracted feature vectors to discriminate fighting shots. Experimental results on representative action movies show our approach is very effective.

关键词： video analysis motion concept learning

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