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On the relevance of using affordable tools for white spaces identification

On the relevance of using affordable tools for white spaces ...

引用

2012 IEEE 8th international conference on Wireless and Mobile computing, Networking and Communications, WiMob 2012

作者： Zennaro, Marco Pietrosemoli, Ermanno Bagula, Antoine Nleya, Sindiso Telecommunications/ICT for Development Laboratory Abdus Salam International Centre for Theoretical Physics Trieste Italy ISAT Laboratory Department of Computer Science University of Cape Town 18 University Avenue Rhodes Gift 7707 Cape Town South Africa

ISBN: (纸本)9781467314305

It is widely recognized that white spaces identification is an important milestone for the wide deployment of next generation cognitive wireless networks. However, spectrum holes detection tools used for white spaces discovery are still either in the infancy stage or too expensive to enable massive white spaces exploitation. Building upon cheap hardware equipment, this paper presents experiments conducted in the town of Trieste in Italy to sense the environment and find out which frequencies are not being used in a particular place and time-of-the-day. As a a step towards white spaces exploitation, we believe that our experimental frequency exploration is an important milestone upon which white spaces patterns recognition will be built with the aim of using these patterns in wireless network planning and management. © 2012 IEEE.

关键词： pattern recognition

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Parallel batch pattern training of neural networks on computational clusters

Parallel batch pattern training of neural networks on comput...

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2012 10th Annual international conference on High Performance computing and Simulation, HPCS 2012

作者： Turchenko, Volodymyr Grandinetti, Lucio Sachenko, Anatoly Research Institute of Intelligent Computer Systems Ternopil National Economic University 3 Peremoga Square 46009 Ternopil Ukraine Italy

ISBN: (纸本)9781467323598

the research of a parallelization efficiency of a batch pattern training algorithm of a multilayer perceptron on computational clusters is presented in this paper. the multilayer perceptron model and the usual sequential batch pattern training algorithm are theoretically described. An algorithmic description of the parallel version of the batch pattern training method is presented. the efficiency of parallelization of the developed algorithm is investigated on the progressive increasing the dimension of the parallelized problem. the results of the experimental researches show that (i) the cluster with Infiniband interconnection shows better values of parallelization efficiency in comparison with general-purpose parallel computer with ccNuma architecture due to lower communication overhead and (ii) the parallelization efficiency of the algorithm is high enough for its appropriate usage on general-purpose clusters and parallel computers available within modern computational grids. © 2012 IEEE.

关键词： Clustering algorithms

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Towards Scalable Optimal Sequence Homology Detection

Towards Scalable Optimal Sequence Homology Detection

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19th international conference on High Performance computing (HiPC)

作者： Daily, Jeff Krishnamoorthy, Sriram Kalyanaraman, Ananth Pacific NW Natl Lab Richland WA 99352 USA

ISBN: (纸本)9781467323703;9781467323727

the field of bioinformatics and computational biology is experiencing a data revolution - experimental techniques to procure data have increased in throughput, improved in accuracy and reduced in costs. this has spurred an array of high profile sequencing and data generation projects. While the data repositories represent untapped reservoirs of rich information critical for scientific breakthroughs, the analytical software tools that are needed to analyze large volumes of such sequence data have significantly lagged behind in their capacity to scale. In this paper, we address homology detection, which is a fundamental problem in large-scale sequence analysis with numerous applications. We present a scalable framework to conduct large-scale optimal homology detection on massively parallel super-computing platforms. Our approach employs distributed memory work stealing to effectively parallelize optimal pairwise alignment computation tasks. Results on 120,000 cores of the Hopper Cray XE6 supercomputer demonstrate strong scaling and up to 2.42 x 10(7) optimal pairwise sequence alignments computed per second (PSAPS), the highest reported in the literature.

关键词： Cray computers DNA bioinformatics distributed memory systems mainframes parallel machines pattern recognition

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EMSOFT'12 - Proceedings of the 10th ACM international conference on Embedded Software 2012, Co-located with ESWEEK

EMSOFT'12 - Proceedings of the 10th ACM International Confer...

引用

10th ACM international conference on Embedded Software 2012, EMSOFT 2012, Co-located with 8th Embedded Systems Week, ESWEEK 2012

ISBN: (纸本)9781450314251

the proceedings contain 24 papers. the topics discussed include: Internet-of-energy: combining embedded computing and communication for the smart grid;research issues in smart phones, notepads and related services;debugging embedded multimedia application traces through periodic pattern mining;XEMU: an efficient QEMU based binary mutation testing framework for embedded software;timed model checking with abstractions: towards worst-case response time analysis in resource-sharing manycore systems;feedback thermal control of real-time systems on multicore processors;a low-overhead dedicated execution support for stream applications on shared-memory CMP;compositional temporal analysis model for incremental hard real-time system design;programming parallelism with futures in Lustre;towards network-on-chip agreement protocols;on model based synthesis of embedded control software;and runtime verification of real-time embedded systems.

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Trends in Practical Applications of Agents and Multiagent Systems - 10th international conference on Practical Applications of Agents and Multi-Agent Systems

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10th international conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS'12

ISBN: (纸本)9783642287947

the proceedings contain 19 papers. the topics discussed include: simulation and analysis of virtual organizations of agents;using simulation based on agents (ABS) and DES in enterprise integration modelling concepts;a genetic algorithm-based heuristic for part-feeding mobile robot scheduling problem;ACA multiagent system for satellite image classification;automatic extraction of geographic locations on articles of digital newspapers;an experiment to test URL features for Web page classification;on relational learning for information extraction;automatic optimization of Web navigation sequences;metabolic pathway data and application integration;analysing the effectiveness of crawlers on the client-side hidden web;and behavior pattern simulation of freelance marketplace.

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Behavior pattern Simulation of Freelance Marketplace

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10th international conference on Practical Applications of Agents and Multi-Agent Systems

作者： Zuravlyov, Vadim Matrosov, Anton Rutko, Dmitrijs Riga Tech Univ Fac Comp Sci Riga Latvia Univ Latvia Fac Computing Riga Latvia

ISBN: (纸本)9783642287947

Labour market is expanding rapidly nowadays. therefore, recruitment processes, namely, the processes of job searching and job offer have become more complicated and there is a strong tendency to automate and integrate it in special freelance marketplaces, i.e. web solutions which seek for the best match for a buyer and seller analyzing the services and items they offer. the aim of the current research is to find possible improvements to the existing system via the implementation of the Multi-Agent-System paradigm. We model the whole marketplace as a continuous process with different agents (freelancers) and propose several behavior models of agents. We analyze different strategies with the emphasis on agent profit and employer costs and present simulation results which complement our research.

关键词： freelancers behavior patterns Multi Agent Systems simulation XML

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Audio-Visual Emotion Challenge 2012: A Simple Approach 12

Audio-Visual Emotion Challenge 2012: A Simple Approach

引用

14th ACM international conference on Multimodal Interaction (ICMI)

作者： van der Maaten, Laurens Delft Univ Technol Pattern Recognit & Bioinformat Grp NL-2628 CD Delft Netherlands

ISBN: (纸本)9781450314671

the paper presents a small empirical study into emotion and affect recognition based on auditory and visual features, which was performed in the context of the Audio-Visual Emotion Challenge (AVEC) 2012. the goal of this competition is to predict continuous-valued affect ratings based on the provided auditory and visual features, e.g., local binary pattern (LBP) features extracted from aligned face images, and spectral audio features. Empirically, we found that there are only very weak (linear) relations between the features and the continuous-valued ratings: our best linear regressors employ the off set-feature to exploit the fact that the ratings have a dominant direction (more increasing than decreasing). Much to our surprise, only exploitation of this bias already leads to results that improve over the baseline system presented in [10]. the best performance we obtained on the AVEC 2012 test set (averaged over the test set and over four affective dimensions) is a correlation between predicted and ground-truth ratings of 0.2255 when making continuous predictions, and 0.1921 when making word-level predictions.

关键词： Social signal processing Affective computing

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A pattern recognition approach to zonal segmentation of the prostate on MRI

A pattern recognition approach to zonal segmentation of the ...

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15th international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2012

作者： Litjens, Geert Debats, Oscar van de Ven, Wendy Karssemeijer, Nico Huisman, Henkjan Radboud University Nijmegen Medical Centre Geert Grootteplein-Zuid 10 Nijmegen6525GA Netherlands

ISBN: (纸本)9783642334177

Zonal segmentation of the prostate into the central gland and peripheral zone is a useful tool in computer-aided detection of prostate cancer, because occurrence and characteristics of cancer in both zones differ substantially. In this paper we present a pattern recognition approach to segment the prostate zones. It incorporates three types of features that can differentiate between the two zones: anatomical, intensity and texture. It is evaluated against a multi-parametric multi-atlas based method using 48 multi-parametric MRI studies. three observers are used to assess inter-observer variability and we compare our results against the state of the art from literature. Results show a mean Dice coefficient of 0.89 ± 0.03 for the central gland and 0.75 ± 0.07 for the peripheral zone, compared to 0.87 ± 0.04 and 0.76 ± 0.06 in literature. Summarizing, a pattern recognition approach incorporating anatomy, intensity and texture has been shown to give good results in zonal segmentation of the prostate. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Textures

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Cellular Automata Analysis on Self-assembly Properties in DNA Tile computing

Cellular Automata Analysis on Self-assembly Properties in DN...

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10th international conference on Cellular Automata for Research and Industry (ACRI)

作者： Hirabayashi, Miki Kinoshita, Syunsuke Tanaka, Shukichi Honda, Hajime Kojima, Hiroaki Oiwa, Kazuhiro Advanced ICT Research Institute National Institute of Information and Communications Technology (NICT) Japan Department of Engineering Nagaoka University of Technology Japan

ISBN: (纸本)9783642333507

An Analysis on the self-assembly process in DNA tile computing is presented using the cellular automata approach. It is known that a cellular automata model can simulate various complex systems by updating the states of calculation cells based on the local interaction rules. Generally DNA computing is operated through the local interaction between complimentary strands. therefore the cellular automata approach is suitable to investigate qualitative features of such systems. Focusing on the cryptosystem using a DNA motif called a triple crossover (TX) tile, we construct a new cellular automata model. Our objective is to find a solution to improve the fragmentation problem in the self-assembly process of a calculation sheet of TX tiles, because the fragmentation prevents the system from realizing the sufficient performance. Our results suggest that such fragmentation occurs when the error correction function is lost due to the strong stability of local interaction. It is expected that these findings using cellular automata simulations provide effective information to solve the problems to develop practical applications of DNA-based computation.

关键词： DNA computing self-assembly DNA cryptosystem pattern formation

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Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping 1

引用

15th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI)

作者： Yao, Jianhua Burns, Joseph E. Munoz, Hector Summers, Ronald M. NIH Radiol & Imaging Sci Dept Ctr Clin Bldg 10 Bethesda MD 20892 USA Univ Calif Irvine Sch Med Dept Radiol Sci Irvine CA 92717 USA

ISBN: (数字)9783642334542

ISBN: (纸本)9783642334542;9783642334535

Assessment of trauma patients with multiple injuries can be one of the most clinically challenging situations dealt with by the radiologist. We propose a fully automated method to detect acute vertebral body fractures on trauma CT studies. the spine is first segmented and partitioned into vertebrae. then the cortical shell of the vertebral body is extracted using deformable dual-surface models. the extracted cortical shell is unwrapped onto a 2D map effectively converting a complex 3D fracture detection problem into a pattern recognition problem of fracture lines on a 2D plane. Twenty-eight features are computed for each fracture line and sent to a committee of support vector machines for classification. the system was tested on 18 trauma CT datasets and achieved 95.3% sensitivity and 1.7 false positives per case by leave-one-out cross validation.

关键词： Fracture

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