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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Václav Jirkovský Marek Obitko Petr Novák Petr Kadera Rockwell Automation Research and Development Center Pekařská 695/10a Prague Czech Republic Rockwell Automation Research and Development Center Prague Czech Republic Czech Technical University in Prague Prague Czech Republic Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Vienna Austria

The trend of large scale data production is observed not only within web companies, but is entering also other domains including automation domain. Smart sensors and smart devices contribute to growing amounts of data that need to be processed. An example of processing is prediction for better control, clustering for more effective maintenance, or improving the overall production in general. The so called Big Data paradigm shows new ways of handling bigger amounts of various data, including providing technologies that are able to handle them in an effective way. This paper examines the utilization of Big Data technologies for industry automation domain. The approach is illustrated on time series data measured from a passive house with the goal of detecting specific events. We show how the Big Data technologies allow data analysis that would be hard with traditional approaches.

关键词： Big data Automation Real-time systems Time series analysis Production Companies Temperature measurement

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Flow editor: Semantic web service composition tool

Flow editor: Semantic web service composition tool

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2012 IEEE 9th International Conference on Services Computing, SCC 2012

作者： Pi, Bingfeng Zou, Gang Zhong, Chaoliang Zhang, Jun Yu, Hao Matsuo, Akihiko Information Technology Laboratory Fujitsu Research and Development Center Suzhou China Information Technology Laboratory Fujitsu Research and Development Center Beijing China Software Systems Laboratories Fujitsu Laboratories Ltd. Kawasaki Japan

ISBN: (纸本)9780769547534

Semantic web service is proposed to support the automation of service discovery, composition and invocation. However, it is still difficult for common users to compose semantic web services or generate them from web services. In order to alleviate such pains, in this paper we present Flow Editor: a visual semantic web service composition tool based on OWL-S specification. It has several advantages, including visual service composition by drag-and-drop, semi-automatic semantic web service generation, visual control construct supports and so on. In practice, the tool is already applied to help users solve realistic problems by creating and exporting new on-demand services. © 2012 IEEE.

关键词： Web services

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On the Comparison of User Space and Kernel Space Traces in Identification of software Anomalies

On the Comparison of User Space and Kernel Space Traces in I...

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(CSMR) European Conference on software Maintenance and Reengineering

作者： Syed Shariyar Murtaza Afroza Sultana Abdelwahab Hamou-Lhadj Mario Couture Software Behaviour Analysis (SBA) Research Laboratory Concordia University Montreal QUE Canada System of Systems Section Software Analysis and Robustness Group Defence Research and Development Canada Valcartier QUE Canada

Corrective software maintenance consumes 30-60% time of software maintenance activities. Automated failure reporting has been introduced to facilitate developers in debugging failures during corrective maintenance. However, reports of software with large user bases overwhelm developers in identification of the origins of faults, and in many cases it is not known whether reports of failures contain information about faults. Prior techniques employ different classification or anomaly detection algorithms on user space traces (e.g., function calls) or kernel space traces (e.g., system calls) to detect anomalies in software behaviour. Each algorithm and type of tracing (user space or kernel space) has its advantages and disadvantages. For example, user space tracing is useful in detailed analysis of anomalous (faulty) behaviour of a program whereas kernel space tracing is useful in identifying system intrusions, program intrusions, or malicious programs even if source program code is different. If one type of tracing or algorithm is infeasible to implement then it is important to know whether we can substitute another type of tracing and algorithm. In this paper, we compare user space and kernel space tracing by employing different types of classification algorithms on the traces of various programs. Our results show that kernel space tracing can be used to identify software anomalies with better accuracy than user space tracing. In fact, the majority of software anomalies (approximately 90%) in a software application can be best identified by using a classification algorithm on kernel space traces.

关键词： Europe software maintenance

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Flow Editor: Semantic Web Service Composition Tool

Flow Editor: Semantic Web Service Composition Tool

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IEEE International Conference on Services Computing (SCC)

作者： Bingfeng Pi Gang Zou Chaoliang Zhong Jun Zhang Hao Yu Akihiko Matsuo Information Technology Laboratory Fujitsu Research and Development Center Company Limited Suzhou China Information Technology Laboratory Fujitsu Research and Development Center Company Limited Beijing China Software Systems Laboratories Fujitsu Laboratories Limited Kawasaki Japan

关键词： Semantic Web Web services Semantics Visualization Ontologies Laboratories

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An efficient algorithm to maximize the network lifetime for target coverage

An efficient algorithm to maximize the network lifetime for ...

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Proceedings of the International Convention MIPRO

作者： Azade Fotouhi Mohammadreza Razzazi Software Systems Research and Development Laboratory Department of Computer Engineering & IT Amirkabir University of Technology슠 Tehran Iran

A critical aspect of applications with wireless sensor networks is network lifetime. Therefore, judicious power management and scheduling can effectively extend operational time. One way to prolong the network lifetime is to divide the network into cover sets, where each cover set is capable of monitoring all targets. In this paper, we propose a novel and efficient algorithm which considers both residual energy and overlapping target to generate the maximum number of cover sets. Additionally, the algorithm can generate both disjoint and non-disjoint cover sets. Also, the proposed algorithm does not need information about targets which each sensor covers, or the sensors which a target is covered by them, in advance. Through simulation, we show that the proposed algorithm outperforms other similar algorithms in term of execution time, while it produces comparable results in term of number of generated cover sets.

关键词： Wireless sensor networks Algorithm design and analysis Complexity theory Monitoring Heuristic algorithms Radiation detectors

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Redundancy and coverage detection in wireless sensor networks in the presence of obstacles

Redundancy and coverage detection in wireless sensor network...

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Proceedings of the International Convention MIPRO

作者： Azade Fotouhi Mohammadreza Razzazi Software Systems Research and Development Laboratory Department of Computer Engineering & IT Amirkabir University of Technology슠 Tehran Iran

In the real applications of wireless sensor networks (WSNs), a great number of sensors are distributed in the region of interest in order to monitor the environment. The area covered and the energy consumed by the sensors are two key problems of the WSNs. There are several efforts which tried to find the coverage percentage of the network, and eliminate the redundant sensors; however, none of them have considered the presence of obstacles in the region of interest. In this paper, we propose a new efficient algorithm to compute the area covered by the sensors in a region containing transparent and opaque obstacles, and study the problem of detecting and eliminating redundant sensors in order to improve energy efficiency, while preserving the network's coverage. The proposed algorithm uses computational geometry techniques and is applicable for both homogeneous and heterogeneous WSNs. Also, the obstacles can have arbitrary polygonal shapes which are placed in arbitrary locations.

关键词： Sensors Face Wireless sensor networks Redundancy Algorithm design and analysis Conferences Computational geometry

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Coverage of wireless sensor networks in the presence of transparent obstacles

Coverage of wireless sensor networks in the presence of tran...

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International Conference on software, Telecommunications and Computer Networks (SoftCOM)

作者： Mohammadreza Razzazi Azade Fotouhi Software Systems Research and Development Laboratory Department of Computer Engineering & IT Amirkabir University of Technology슠 Tehran Iran

One fundamental issue in the sensor networks is the coverage problem, which we would like to determine whether a region of interest is sufficiently covered by a given set of sensors. It can be considered as a measure of the quality of service (QoS) in the sensor networks. There are several efforts that design efficient algorithms to compute coverage; however, they have not considered the presence of obstacles in the corresponding region. In this paper, we present a new algorithm to compute the area covered by a set of sensors distributed in a region containing transparent obstacles with arbitrary shapes. The sensor network can be homogeneous or heterogeneous.

关键词： Wireless sensor networks Sensors Computational modeling Shape Ad hoc networks Mobile computing Image segmentation

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Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

Parallel implementation of the Finite-Difference Time-Domain...

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International Conference on Electromagnetics in Advanced Applications (ICEAA)

作者： T. P. Stefański S. Benkler N. Chavannes N. Kuster Foundation for Research on Information Technologies in Society Zurich Switzerland Integrated Systems Laboratory Swiss Federal Institute of Technology Zurich Switzerland SPEAG Software Research and Development Zurich Switzerland

In this paper we evaluate the usability and performance of Open Computing Language (OpenCL) targeted for implementation of the Finite-Difference Time-Domain (FDTD) method. The simulation speed was compared to implementations based on alternative techniques of parallel processor programming. Moreover, the portability of OpenCL FDTD code between modern computing architectures was assessed. The average speed of OpenCL FDTD simulations on a GPU was about 1.1 times lower than a comparable CUDA based solver for domains with sizes varying from 50 3 to 400 3 cells. Although OpenCL code dedicated to GPUs can be executed on multi-core CPUs, a direct porting does not provide satisfactory performance due to an application of architecture specific features in GPU code. Therefore, the OpenCL kernels of the developed FDTD code were optimized for multi-core CPUs. However, this improved OpenCL FDTD code was still about 1.5 to 2.5 times slower than the FDTD solver developed in the OpenMP parallel programming standard. The study concludes that, despite current performance drawbacks, the future potential of OpenCL is significant due to its flexibility and portability to various architectures.

关键词： Finite difference methods Graphics processing unit Time domain analysis Computational modeling Benchmark testing Runtime Central Processing Unit

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A schema-based P2P network to enable publish-subscribe for multimedia content in open hypermedia systems

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International Journal of Web Engineering and Technology 2008年第1期4卷 21-43页

作者： Tiropanis, Thanassis Kanellopoulos, Dimitris 19.5km Markopoulo Ave. GR-19002 Peania Athens Greece Department of Mathematics University of Patras GR-26500 Rion Patras Greece Department of Software Systems and Web Applications Athens Information Technology Software Engineering and Web Applications Research Group Department of Tourism Management Technological Educational Institute of Patras Educational Software Development Laboratory Department of Mathematics University of Patras

Open Hypermedia systems (OHS) aim to provide efficient dissemination, adaptation and integration of hyperlinked multimedia resources. Content available in Peer-to-Peer (P2P) networks could add significant value to OHS provided that challenges for efficient discovery and prompt delivery of rich and up-to-date content are successfully addressed. This paper proposes an architecture that enables the operation of OHS over a P2P overlay network of OHS servers based on semantic annotation of (a) peer OHS servers and of (b) multimedia resources that can be obtained through the link services of the OHS. The architecture provides efficient resource discovery. Semantic query-based subscriptions over this P2P network can enable access to up-to-date content, while caching at certain peers enables prompt delivery of multimedia content. Advanced query resolution techniques are employed to match different parts of subscription queries (subqueries). These subscriptions can be shared among different interested peers, thus increasing the efficiency of multimedia content dissemination. Copyright © 2008 Inderscience Enterprises Ltd.

关键词： Hypermedia systems

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