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2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012

作者： Alves, Marcelo L. Clua, Esteban Leta, Fabiana R. Instituto Nacional de Metrologia e Qualidade - Inmetro Rio de Janeiro Brazil Computer Science Department Universidade Federal Fluminense Niterói Brazil Mechanical Engineering Department Mechanical Engineering Post-Graduation Program Universidade Federal Fluminense Niterói Brazil

ISBN: (纸本)9783200023284

This paper presents a methodology for roughness analysis based on surface characteristics of images obtained from optical and electronic microscopes. Texture analysis has been widely used in different fields, such as medical image analysis, visual interpretation of remote sensing images, image search and industrial quality inspection of manufactured products, which is the focus of this paper. We present a novel method of analysis based on texture characteristics. The Haralick descriptors are used to describe the surface texture and to classify its roughness. The primary roughness standards are evaluated and classified according to several features considering these descriptors. The set of values is the input of a multilayer perceptron artificial neural network. The obtained results show that it can be possible to advance this methodology in order to develop a roughness digital measurement system for the evaluation of surface ending process. © 2012 Institute of Telecommunica.

关键词： Surface roughness

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An intelligent technique for extracting subjects from user profile using ODP ontology-driven reasoning

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Research Journal of Applied sciences, engineering and Technology 2012年第15期4卷 2334-2342页

作者： Minazadeh, Mina Badie, Kambiz Pedram, Mir Mohsen Department of Computer Engineering Islamic Azad University Science and Research Branch Tehran Iran Information Technology Research Faculty Telecommunication Research Center Tehran Iran Computer Engineering Department Faculty of Engineering Tarbiat Moallem University Karaj/Tehran Iran

Nowadays, the amount of available information, especially on the Web, is increasing. In this field, the role of user modeling and personalized information access is obviously vital. The traditional techniques like BOW (Bags of words) limit recommendations to the words which have been stored in the profile. In other words, the news items, which semantically relate to the users interests, can't be recognized and recommended to the users. Besides, BOW technique suffers from the curse of dimensionality, thus computational burden reduction is an essential task to efficiently handle a large number of terms in practical applications. This study focuses on the problem of choosing a representation of documents that can be suitable to induce concept-based user profiles as well as to support a content-based retrieval process. In this study, a new approach has been proposed to construct a ranked semantic user profile through extracting the related subjects. The new items can be recommended through collecting information from the user's selections, based on existing domain ontology ODP. The efficiency of the proposed technique has been shown by embedding it into an intelligent aggregator, RSS (RSS is acronym of "Really Simple Syndication) feed reader, which has been trained and evaluated by different and heterogeneous users. The results in experimental session show that the incoming news item which semantically relates to the profile gets highly recommended to the user despite its excluding of common words in the profile. © Maxwell Scientific Organization, 2012.

关键词： Ontology

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Complete fuzzy LDA algorithm in image segmentation

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Advances in Information sciences and Service sciences 2012年第5期4卷 53-60页

作者： Chen, Yuantao Xu, Weihong Kuang, Fangjun Wu, Jiaying School of Computer Science and Technology Nanjing University of Science and Technology 210094 Nanjing China School of Computer and Telecommunication Engineering Changsha University of Science and Technology 410004 Changsha China Department of Computer Science and Technology Hunan Vocational Institute of Safety and Technology 410151 Changsha China

This paper proposes a novel method, called complete fuzzy LDA (CFLDA), which combines the linear discriminant analysis (LDA) and fuzzy set theory. LDA preserve the total variance by maximizing the trace of feature variance, but LDA cannot preserve local information due to pursuing maximal variance. So, the complete fuzzy linear discriminant analysis (CFLDA) algorithm is proposed, in which the fuzzy k-nearest neighbor (FKNN) is implemented to achieve the distribution local information of original samples. Experimental results on ORL, Yale, and AR face databases show the effectiveness of the proposed method. Image segmentation experimental results show better distinguished results in images.

关键词： Image segmentation

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Fuzzy logic election of node for routing in WSNs

Fuzzy logic election of node for routing in WSNs

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11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012

作者： Babu, Shaik Sahil Raha, Arnab Naskar, Mrinal Kanti Alfandi, Omar Hogrefe, Dieter Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata - 700 032 West Bengal India College of Information Technology Zayed University United Arab Emirates Institute of Computer Science SensorLab Georg-August-Universität Göttingen Göttingen Germany

ISBN: (纸本)9780769547459

Sensor nodes of Wireless Sensor Networks (WSNs) are resource constraints in energy, memory, processing and communication bandwidth. Since they are operated by battery, their life span is limited. Specially, energy conservation is very important issue in the WSN, because it directly affects the life of the node as well as the entire network. Here, we develop a new way of electing a node among many trustworthy nodes for routing processes. This method consumes the energies of network nodes based on Fuzzy logic applied on their residual energy, trust level and distance from the Base Station. The proposed method elects one indispensible node for participating in routing among many worthy nodes. Hence, this method of election of node for routing in WSN sees the conservation of nodes energies go by very smooth and justifying, thereby increasing the life of the WSN. © 2012 IEEE.

关键词： Base stations

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Ultra-efficient nano-photonic devices using hybrid material systems for optical communication and sensing

Ultra-efficient nano-photonic devices using hybrid material ...

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2012 IEEE Avionics, Fiber- Optics and Photonics Technology Conference, AVFOP 2012

作者： Wang, Alan X. Chen, Ray T. Fan, Donglei Lin, Che-Yun Xu, Xiaobin Wang, Lei School of Electrical Engineering and Computer Science Oregon State University Corvallis OR 97331 United States Microelectronic Research Center University of Texas Austin TX United States Department of Mechanical Engineering University of Texas Austin TX United States Materials Science and Engineering Program University of Texas Austin TX United States

We investigated ultra-efficient nano-photonic modulators based on silicon photonic crystal slot waveguides infiltrated with electro-optic polymers. The integration of Si3N4 guided mode resonance grating with plasmonic... 详细信息

ISBN: (纸本)9781457707575

关键词： Photonic devices

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A study of network infrastructure optimization for data center servers

A study of network infrastructure optimization for data cent...

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2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012

作者： Lin, Hsin-Peng Chuang, Ching-Chih Tseng, Hsueh-Wen Pang, Ai-Chun Lin, Phone Jeng, Jeu-Yih Telecommunication Laboratories Chunghwa Telecom Co. Ltd. Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Computer Science and Engineering National Chung-Hsing University Taichung Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Center for Optoelectronic Biomedicine National Taiwan University Taipei Taiwan

ISBN: (纸本)9789860334074

Data center plays an important role in cloud computing. Cloud computing provides novel perspectives in Internet technologies and raises issues in the architecture, protocol, and implementation of existing networks and data centers. Although various cloud-based data center architectures have been proposed in recent years, some challenging issues, e.g., congestion control, load balancing and energy efficiency, still need to be addressed. In this paper, we present the designs of network architecture for data center servers, and then analyze and compare several promising solutions to tackle those challenging problems. © 2012 NiCT.

关键词： Cloud computing

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Hybrid clutter canceler with feedback guided predicative filtering on a heterogeneous parallel processing system

Hybrid clutter canceler with feedback guided predicative fil...

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International Waveform Diversity and Design Conference

作者： Jeffrey M. Brinkhus Joseph A. Jezak Charles Berdanier Steven P. Levitan Donald M. Chiarulli Electical and Computer Engineering University of Pittsburgh Computer Engineering Graduate Program University of Pittsburgh Electrical Engineering Wright State University Computer Science Department University of Pittsburgh

In this paper we describe a novel clutter cancellation platform based on a two stage approach that combines a feedback guided predictive front-end hybrid clutter canceller with high performance back-end filtering and target detection. The front-end architecture is based on an FPGA implementation of a Kalman filter that predicts target locations in real time and removes the target signals from the incoming data prior to hybrid cancellation. The back-end is user configurable and exploits high performance GPU and multi-core parallel hardware to simultaneously compute multiple clutter suppression and target detection algorithms coupled to an intelligent selection strategy for selecting the most accurate result. These target locations are fed back to the FPGA Kalman filter periodically to update the target predictions.

关键词： Clutter Kalman filters Mathematical model Field programmable gate arrays Radar Clocks Algorithm design and analysis

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Detecting STR peaks in degraded DNA samples

Detecting STR peaks in degraded DNA samples

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4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012

作者： Marasco, Emanuela Ross, Arun Dawson, Jeremy Moroose, Tina Ambrose, Tanya Lane Department of Computer Science and Electrical Engineering West Virginia University PO Box 6109 Morgantown WV 26506 United States Forensic and Investigative Science Program West Virginia University PO Box 6121 Morgantown WV 26506 United States

ISBN: (纸本)9781618397461

Human identification from DNA is typically based on 13 short-tandem repeat (STR) alleles. Commercial kits used in forensic casework rely on the detection of these alleles in DNA samples acquired from an individual. However, the process itself is slow (it can take up to 2 days when conducting a laboratory analysis or 1 hour when using Rapid DNA systems) and has been designed to operate on pristine DNA samples. The need for achieving fast and accurate DNA processing has spurred efforts in developing portable systems that can reduce the processing time to less than 1 hour. But such systems are expected to operate on degraded DNA samples due to the architecture and process used by the instrument. Consequently, detecting the alleles in such degraded DNA samples can be a challenging problem. In this paper, we present an algorithm to detected allelic peaks from degraded DNA signals based on an adaptive signal-processing scheme. The performance of the algorithm is evaluated on two datasets: 1) data collected at the WVU department of Forensic and Investigative sciences, obtained by performing a controlled DNA degradation using ultraviolet radiation, 2) data provided by NIST obtained by varying cycle counts for the PCR processing step. Experiments indicate the efficacy of the algorithm in allelic peak detection and reiterate the need for approaching the problem in a systematic manner.

关键词： DNA

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Recognition of geological rocks at the bedded-infiltration uranium fields by using neural networks

Recognition of geological rocks at the bedded-infiltration u...

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IEEE Conference on Open Systems (ICOS)

作者： Ravil I. Muhamedyev Yan Kuchin Pavel Gricenko Zhusulan Nurushev Kirill Yakunin Elena Muhamedyeva Software engineering & telecommunication department International IT University Almaty Kazakhstan Computer science and information technology department Riga Technical University Riga Latvia

Interpretation geophysical data is one of the important factors affecting the economic indicators of mining process. The mining process depend on the speed and accuracy of geophysical data interpretation, but the process of logging data interpretation can not be strictly formalized. Therefore, computer interpretation methods on the basis of expert estimates are necessary. The method is based on expert opinion are widely used in weakly formalized tasks. Mention may be made of the system based on rules, fuzzy logic, Bayesian decision-making systems, artificial neural networks (ANN). ANN have already been used for solving a wide range of recognition problems. The paper analyzes the quality of network's data interpretation essentially depending on its configuration parameters, methods of data preprocessing and learning samples. About 2000 calculation experiments have been made, software and templates for preprocessing of data and interpretation findings have been developed. These experiments showed the effectiveness of neural network approach to solving the problem of geological rocks recognition in stratum-infiltration uranium deposits. Further research in this area will raise the recognition process automation and its accuracy.

关键词： Biological neural networks Smoothing methods Training Rocks Data mining Artificial neural networks

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Visualizing motion data in virtual reality: Understanding the roles of animation, interaction, and static presentation

Visualizing motion data in virtual reality: Understanding th...

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14th Eurographics Conference on Visualization 2012, EuroVis 2012

作者： Coffey, D. Korsakov, F. Ewert, M. Hagh-Shenas, H. Thorson, L. Ellingson, A. Nuckley, D. Keefe, D.F. Department of Computer Science and Engineering University of Minnesota United States Minneapolis College of Art and Design Twin Cities MN United States Department of Biomedical Engineering University of Minnesota United States Program in Physical Therapy University of Minnesota United States

We present a study of interactive virtual reality visualizations of scientific motions as found in biomechanics experiments. Our approach is threefold. First, we define a taxonomy of motion visualizations organized by the method (animation, interaction, or static presentation) used to depict both the spatial and temporal dimensions of the data. Second, we design and implement a set of eight example visualizations suggested by the taxonomy and evaluate their utility in a quantitative user study. Third, together with biomechanics collaborators, we conduct a qualitative evaluation of the eight example visualizations applied to a current study of human spinal kinematics. Results suggest that visualizations in this style that use interactive control for the time dimension of the data are preferable to others. Within this category, quantitative results support the utility of both animated and interactive depictions for space;however, qualitative feedback suggest that animated depictions for space should be avoided in biomechanics applications. © 2012 The Author(s).

关键词： Biomechanics

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