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International Conference on Systems, signals and Image processing, IWSSIP

作者： Elad Bullkich Idan Ilan Yair Moshe Yacov Hel-Or Hagit Hel-Or Signal and Image Processing Laboratory (SIPL) Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Google Inc. Mountain View USA Department of Computer Science University of Haifa Haifa Israel

Shadow detection is a well-known problem in image and video processing. Detecting moving shadows is useful in numerous applications such as object detection and tracking. Most works in this area are not suitable for shadow detection using a low-cost outdoor surveillance camera. In this work we suggest a fast shadow detection approach for video surveillance, by comparing each video frame to a continuously updated background image. We differentiate shadow areas from foreground areas by assuming the shadow pixels are associated with background pixels through a nonlinear tone mapping. This assumption is general and applies to various systems and scene conditions. A distance measure between patch images that account for nonlinear tone mapping is calculated by adapting a recently suggested approach for pattern matching termed Matching by Tone Mapping (MTM). We show that the proposed technique is computationally efficient and outperforms state-of-the-art shadow detection techniques in typical surveillance scenarios.

关键词： Surveillance Measurement Image color analysis Cameras Robustness Lighting

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Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization

Analysis of ongoing EEG elicited by natural music stimuli us...

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20th European signal processing Conference, EUSIPCO 2012

作者： Cong, Fengyu Phan, Anh Huy Zhao, Qibin Nandi, Asoke K. Alluri, Vinoo Toiviainen, Petri Poikonen, Hanna Huotilainen, Minna Cichocki, Andrzej Ristaniemi, Tapani Department of Mathematical Information Technology University of Jyväskylä Finland Laboratory of Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Department of Electrical Engineering and Electronics University of Liverpool United Kingdom Finnish Centre of Excellence in Interdisciplinary Music Research University of Jyväskylä Finland Cognitive Brain Research Unit Institute of Behavioral Sciences University of Helsinki Finland Finnish Institute of Occupational Health Helsinki Finland

ISBN: (纸本)9781467310680

This study proposes a six-step approach to analyze ongoing EEG elicited by 512-second long natural music (modern tango). The spectrogram of the ongoing EEG was first produced, and then a fourth-order tensor including the spectrograms of multiple channels of multiple participants was decomposed via nonnegative tensor factorization (NTF) into four factors, including temporal, spectral and spatial components, and multi-domain features of all participants. We found one extracted temporal component by NTF significantly (p

关键词： Tensors

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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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QVT transformation by modeling: From UML model to MD model

QVT transformation by modeling: From UML model to MD model

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International Conference on sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

作者： Ibtissam Arrassen Redouane Esbai Abdelouafi Meziane Mohammed Erramdani Laboratory for Computer Science Research Faculty of Sciences Mohammed 1st University Oujda Morocco Laboratory of Applied Mathematics and Computer Signal Processing Superior School of Technology Mohammed 1st University Oujda Morocco Laboratory for Computer Science Research Faculty of Sciences Mohammed 1st University Oujda Morocco

To provide a complete analysis of the organization, its business and its needs, it is necessary for leaders to have data that help decision making. Data warehouses are designed to meet such needs; they are an analysis and data management technology. This article describes an MDA (Model Driven Architecture) process that we have used to automatically generate the multidimensional schema of data warehouse. This process uses model transformation using several standards such as Unified Modeling Language, Meta-Object Facility, Query View Transformation, Object Constraint Language, ... From the UML model, especially the class diagram, a multidimensional model is generated as an XML file, the transformation is carried out by the QVT (Query View Transformation) language and the OCL (Object Constraint Language) Language. To validate our approach a case study is presented at the end of this work.

关键词： Unified modeling language Object oriented modeling Data models Computational modeling Data warehouses Computer architecture Educational institutions

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Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials

Sequential nonnegative tucker decomposition on multi-way arr...

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IEEE Workshop on Machine Learning for signal processing

作者： Fengyu Cong Guoxu Zhou Qibin Zhao Qiang Wu Asoke K. Nandi Tapani Ristaniemi Andrzej Cichocki Department of Mathematical Information Technology University of Jyväskylä Finland Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan School of Information Science and Engineering Shandong University Jinan Shandong China Department of Electrical Engineering and Electronics University of Liverpool UK

Tensor factorization has exciting advantages to analyze EEG for simultaneously exploiting its information in the time, frequency and spatial domains as well as for sufficiently visualizing data in different domains concurrently. Event-related potentials (ERPs) are usually investigated by the group-level analysis, for which tensor factorization can be used. However, sizes of a tensor including time-frequency representation of ERPs of multiple channels of multiple participants can be immense. It is time-consuming to decompose such a tensor. The low-rank approximation based sequential nonnegative Tucker decomposition (LraSNTD) has been recently developed and shown to be computationally efficient with respect to some benchmark datasets. Here, LraSNTD is applied to decompose a fourth-order tensor representation of ERPs. We find that the decomposed results from LraSNTD and a benchmark nonnegative Tucker decomposition algorithm are very similar. So, LraSNTD is promising for ERP studies.

关键词： Tensile stress Feature extraction Electroencephalography Time frequency analysis Approximation methods Algorithm design and analysis signal processing algorithms

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Robust maximin MIMO precoding for arbitrary convex uncertainty sets

Robust maximin MIMO precoding for arbitrary convex uncertain...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Jiaheng Wang Mats Bengtsson Björn Ottersten Daniel P. Palomar National Mobile Communications Research Laboratory South East University China Signal Processing Laboratory ACCESS Linnaeus Center KTH Royal Institute of Technology Sweden Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg Luxembourg ECE Department Hong Kong University of Science and Technology Hong Kong China

We consider a worst-case robust precoding design for multi-input multi-output (MIMO) communication systems with imperfect channel state information at the transmitter (CSIT). Instead of a particular choice, we consider a general imperfect CSIT model that only assumes the channel errors to be within a convex set, which includes most common imperfect CSIT models as special cases. The robust precoding design is formulated as a maximin problem, aiming at maximizing the worst-case received signal-to-noise ratio or minimizing the worst-case error probability. It is shown that the robust precoder can be easily obtained by solving a convex problem. We further provide an equivalent but more practical form of the convex problem that can be efficiently handled with common optimization methods and software packages.

关键词： Robustness MIMO Uncertainty signal to noise ratio Convex functions Transmitters Software packages

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Multimodal biometric person recognition system based on fingerprint & Finger-Knuckle-Print using correlation filter classifier

Multimodal biometric person recognition system based on fing...

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IEEE International Conference on Communications (ICC)

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Signal and Image Processing Laboratory Electronics and Computer Science Faculty University of Sciences and Technology Houari Boumediene Algiers Algeria Department of Computer Science King Saud University Riyadh Saudi Arabia School of Computing Engineering and Information Sciences Northumbria University Newcastle-upon-Tyne UK

ISBN: (纸本)9781457720529

Biometrics is an effective technology for personnel identity recognition, but uni-modal biometric systems which use a single trait for recognition will suffer from problems like noisy sensor data, non-universality, lack of distinctiveness of the biometric trait, and spoof attacks. These problems can be tackled by using multi-biometrics in the system. Hand-based person recognition provides a reliable, low-cost and user-friendly viable solution for a range of access control applications. As one of the most popular biometric traits, fingerprints (FP) are widely used in personal recognition. However, a novel hand-based biometric feature, Finger-Knuckle-Print (FKP), has attracted an increasing amount of attention. In this paper, FP and FKP are integrated in order to construct an efficient multi-biometric recognition system based on matching score level and image level fusion. In this study we use the minimum average correlation energy (MACE) and Unconstrained MACE (UMACE) filters in conjunction with two correlation plane performance measures, max peak value and peak-to-sidelobe ratio, to determine the effectiveness of this method. The experimental results showed that the designed system achieves an excellent recognition rate on the Hong Kong polytechnic university (PolyU) FKP and high resolution fingerprint database.

关键词： Correlation Databases Training Discrete wavelet transforms Biomedical imaging Biometrics (access control) Fingers

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Numerical Simulation of Viscous Cavitating Flow Around A Ship Propeller

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China Ocean Engineering 2011年第3期25卷 539-548页

作者：朱志峰方世良王晓燕孟昭文刘平香杜选民 Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University School of Electrical Engineering and Information Anhui University of Technology Science and Technology on Acoustic Antagonizing Laboratory Shanghai Marine ElectronicEquipment Research Institute

In the present study, cavitation and a ship propeller wake are reported by computed fluid dynamics based on viscous multiphase flow theory. Some recent validation results with a hybrid grid based on unsteady Navier-Stokes （N-S） and bubble dynamics equations are presented to predict velocity, pressure and vapor volume fraction in propeller wake in a uniform inflow. Numerical predictions of sheet cavitation, tip vortex cavitation and hub vortex cavitation are in agreement with the experimental data, same as numerical predictions of longitudinal and transversal evolution of the axial velocity. Blade and shaft rate frequency of propeller is well predicted by the computed results of pressure, and tip vortex is the most important to generate the pressure field within the near wake. The overall results indicate that the present approach is reliable for prediction of cavitation and propeller wake on the condition of uniform inflow.

关键词： cavitatingflow RANS propeller sliding mesh multiphaseflow

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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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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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