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IEEE Globecom Workshops

作者： Ashraf Al-Fagih Ahmad El Kouche Sharief Oteafy Abdallah Alma'aitah Telecommunications Research Laboratory School of Computing Queens University Kingston ONT Canada Information and Computer Science Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Telecommunications Research Lab School of Computing Kingston Ontario Canada Department of Electrical and Computer Engineering Queen's University Kingston Ontario Canada

In harsh operational conditions, machines lose components on a frequent basis, causing a significant footprint to the surrounding environment. This affects operational up-time, safety measures and cost effectiveness. This paper proposes the use of an integrated RFID-WSN architecture to reduce the footprint of mining equipment used in the Canadian Oil Sands industry. Sensors and RFID tags provide both identification and positioning data for detecting broken parts from Ground Engaging Tools (GETs), such as huge shovel teeth. A delay-tolerant delivery approach utilizes mobile couriers, placed on loading trucks available in the vicinity, to store and carry data from readers and relays to remote base-stations. Delivering data in such harsh mining environments poses several challenges including power scarcity, vast transmission distances and the lack of an accessible communication infrastructure. We provide a use case to demonstrate how this architecture successfully overcomes these challenges within the harsh industrial environment of the Oil Sands.

关键词： Temperature sensors Radiofrequency identification Temperature measurement Hydrocarbons Monitoring Vibrations

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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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Editorial

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International Journal on Artificial Intelligence Tools 2012年第3期21卷

作者： Cui, Zhihua Shi, Zhongzhi Alex, Rajan Complex System and Computational Intelligence Laboratory School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi 030024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 China Department of Engineering and Computer Science West Texas AandM University Canyon TX 79015 United States

Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In general, multi-agent systems that use some swarm intelligence are said to be swarm intelligent systems. They are mostly used as search engines and optimization tools. The goal of this special issue has been to offer a wide spectrum of sample works throughout the world about innovative methodologies of swarm intelligence. The issue should be useful both for beginners and experienced researchers in the field of computational intelligence. © 2012 World Scientific Publishing Company.

关键词： Swarm intelligence

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Photonic crystals in proton-exchanged LiNbO3 waveguides for photonic applications

Photonic crystals in proton-exchanged LiNbO3 waveguides for ...

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IEEE PhotonicsGlobal@Singapore, IPGC

作者： Deng Jun Jia Wei Vanga Sudheer Kumar Ching Eng Png Andrew A. Bettiol Aaron J. Danner Institute of High Performance Computing Agency for Science Technology and Research (ASTAR) Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore Henan Key Laboratory of Laser and O pto-electric Information Technology Zhengzhou University Henan China Department of Physics National University of Singapore Singapore

Photonic crystals realized in LiNbO 3 have a great potential to reduce the size and increase the functionality of integrated optical devices. In order to accomplish these aims, fabrication know-how must be mastered yet it remains relatively uncharted. In this work we report the fabrication and optical characterization of photonic crystal structures in annealed proton exchanged (APE) LiNbO 3 waveguides. In our work, channel waveguides were fabricated by photolithography patterning followed by immersing LiNbO 3 wafers in molten benzoic acid at 235°C for 5 h. The thickness and the composition profiles of the APE waveguides were measured using the secondary ion mass spectroscopy (SIMS) method. The experimental characterization of the photonic crystal waveguides was performed and a photonic stop band with good sharpness can be observed from the transmission spectra.

关键词： Photonics Optical fibers Optical device fabrication Optical imaging Optical polarization

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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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Revisiting human activity frameworks

Revisiting human activity frameworks

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作者： Kim, Eunju Helal, Sumi Mobile and Pervasive Computing Laboratory Department of Computer and Information Science and Engineering University of Florida United States

ISBN: (纸本)9783642235825

A classical activity theory has for long been established as a de-facto framework on which many human activity models and recognition algorithms are based. We observed several limitations to the classical activity theory, mostly attributed to its inability to discern among seemingly similar concepts and artifacts. We discuss these limitations and introduce a generic activity framework that addresses these issues. We provide a comparative analysis to quantify the effect of our proposed framework on the accuracy of activity recognition using a benchmark of activities of daily living. We report significant improvement of the recognition accuracy. © 2011 ICST Institute for computer science, Social Informatics and Telecommunications engineering.

关键词： Pattern recognition

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Optical-Quantum Security using Dark-Bright Soliton Conversion in a Ring Resonator System

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Procedia engineering 2012年 32卷 475-481页

作者： S. Tunsiri S. Kanthavong Louangvilay S. Mitatha P.P. Yupapin Office of the Registrar King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Department of Computer Engineering and Information Technology Faculty of Engineering National University of Laos Vientiane 3166 Laos International College King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Hybrid Computing Research Laboratory Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Nanoscale Science and Engineering Research Alliance (N'SERA) Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand

We present a new concept of quantum cryptography using dark-bright soliton conversion behaviors within a nonlinear ring resonator, in which the orthogonal soliton is established among the soliton conversion. A new model of add/drop filters is modified which is known as a PANDA Ring resonator is proposed. The entangled soliton(photon) can work in the same way of the entangled photon, but in this case the entangle soliton is gained more power that give the advantage of long distance quantum communication. In application, the high capacity quantum communication is also variable by using the multivariable entangled solitons.

关键词： Entangled soliton entangled photons quantum computer quantum cryptography ring resonator

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State/Action-based Fairness Verification for Non-determinism

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电子学报(英文版) 2011年第4期20卷 603-606页

作者： XU Guangquan PANG Shanchen GAO Honghao XIAO Yingyuan LI Xiaohong FENG Zhiyong School of Computer Science and Technology Tianjin University Tianjin China Department of Computer Science and Technology Tsinghua University Beijing China College of Information Science and Engineering Shandong University of Science and Technology Qingdao China School of Computer Engineering and Science Shanghai University Shanghai China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

Most of the existing work about fairness verification was carried out by checking the fairness based on state, action, or process respectively. It is hard to resolve the fairness issue for complex software systems, especially in life-critical systems and safety-critical systems. In this paper, we verify the fairness based on both state and action, which is realized mainly by introducing an extended Kripke structure and four kinds of fairness (weak global/local fairness and strong global/local fairness). The experimental results show the superiority of our method by the savings in memory (2.08%) and time consumption (26.45%).

关键词：非确定性基础验证 Kripke结构安全关键系统软件系统公正性消费量

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Improving palmprint identification by combining multiple classifiers and using gabor filter

Improving palmprint identification by combining multiple cla...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Abdallah Meraoumia Salim Chitroub Ahmed Bouridane Laboratoire de Génie Électrique. Faculté des Sciences et de la Technologie et des Sciences de la Matière Université Kasdi Merbah Ouargla Ouargla Algeria Signal and Image Processing Laboratory Electronics and Computer Science Faculty Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle upon Tyne UK Department of Computer Science King Saud University Riyadh Saudi Arabia

Biometrics technology has been attracting extensive attention from researchers of personal authentication due to the ever growing demand on access control, public security, forensics and e-banking. Diverse biometric systems have been now widely used in various applications. The palmprint is most popular modality that has the largest shares in the biometrics market. In this paper, an efficient online personal identification system based on palmprint is proposed. Firstly, the palmprint is filtered by the Gabor filter. The real and imaginary responses of the filtering are used to create three different feature vectors. Subsequently, the Hidden Markov Model (HMM), the Gaussian Mixture Model (GMM) and the Radial Basis Function (RBF) are used for modeling and so for classifying the feature vectors. The results of the three classifiers are combined using matching score level fusion strategy. The proposed system is tested and evaluated using PolyU 2D and 3D palmprint database of 250 persons. The obtained experimental results show that the system yields the best performance for identifying palmprint and it is able to provide the highest degree of biometrics-based system security.

关键词： Hidden Markov models Vectors Feature extraction Databases Computational modeling Authentication

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Modeling human activity semantics for improved recognition performance

Modeling human activity semantics for improved recognition p...

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8th International Conference on Ubiquitous Intelligence and computing, UIC 2011

作者： Kim, Eunju Helal, Sumi Mobile and Pervasive Computing Laboratory The Department of Computer and Information Science and Engineering University of Florida GainesvilleFL32611 United States

ISBN: (纸本)9783642236402

Activity recognition performance is significantly dependent on the accuracy of the underlying activity model. Therefore, it is essential to examine and develop an activity model that can capture and represent the complex nature of human activities precisely. To address this issue, we introduce a new activity modeling technique, which utilizes simple yet often ignored activity semantics. Activity semantics are highly evidential knowledge that can identify an activity more accurately in ambiguous situations. We classify semantics into three types and apply them to generic activity framework, which is a refined hierarchical composition structure of the traditional activity theory. We compare the introduced activity model with the traditional model and the hierarchical models in terms of attainable recognition certainty. The comparison study shows superior performance of our semantic model using activities of daily living scenario. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Semantics

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