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International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： V. Saranya M.R. Sumalatha Post Graduate Student Department of Information Technology Madras Institute of Technology India Associate Professor Department of Information Technology Madras Institute of Technology India

Data centers has rich source of data required for analyzing and studying any type of environment. In recent days, an enormous amount of data is being collected worldwide, but difficult to process with regular statistical tools. As of now, clustering with a vast amount of data is a challenging problem. Clustering the features of a single domain from a datacenter has given birth to the need for more sophisticated statistical tools because of the sensitivity of the data. On traditional density based clustering methodologies, temporal and spatial efficiency is less. In this paper a dynamic neighborhood selection (DNS) clustering algorithm is proposed which process a vast amount of data with varying densities using the MapReduce framework which is used to parallelize the clustering technique. Based on this technique, features of individual attribute from heterogeneous domain have been clustered using correlation measures of data points and it improves temporal efficiency. The experimental results show that DNS Cluster works efficiently with varying densities and scales up well with Map Reduce framework with large data sets.

关键词： Clustering algorithms Signal processing algorithms Algorithm design and analysis Distributed databases Correlation Correlation coefficient Signal processing

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Corrigendum to "Cardiological Society of India position statement on management of heart failure in India" [Indian Heart J 70 (S1) (2018) S1-S72]

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Indian heart journal 2018年第6期70卷 952-953页

作者： Santanu Guha S Harikrishnan Saumitra Ray Rishi Sethi S Ramakrishnan Suvro Banerjee V K Bahl K C Goswami Amal Kumar Banerjee S Shanmugasundaram P G Kerkar Sandeep Seth Rakesh Yadav Aditya Kapoor Ajaykumar U Mahajan P P Mohanan Sundeep Mishra P K Deb C Narasimhan A K Pancholia Ajay Sinha Akshyaya Pradhan R Alagesan Ambuj Roy Amit Vora Anita Saxena Arup Dasbiswas B C Srinivas B P Chattopadhyay B P Singh J Balachandar K R Balakrishnan Brian Pinto C N Manjunath Charan P Lanjewar Dharmendra Jain Dipak Sarma G Justin Paul Geevar A Zachariah H K Chopra I B Vijayalakshmi J A Tharakan J J Dalal J P S Sawhney Jayanta Saha Johann Christopher K K Talwar K Sarat Chandra K Venugopal Kajal Ganguly M S Hiremath Milind Hot Mrinal Kanti Das Neil Bardolui Niteen V Deshpande O P Yadava Prashant Bhardwaj Pravesh Vishwakarma Rajeeve Kumar Rajput Rakesh Gupta S Somasundaram S N Routray S S Iyengar G Sanjay Satyendra Tewari G Sengottuvelu Soumitra Kumar Soura Mookerjee Tiny Nair Trinath Mishra U C Samal U Kaul V K Chopra V S Narain Vimal Raj Yash Lokhandwala Chairman CSI Guidelines Committee Medical College Kolkata India. Chief Coordinator CSI HF Position Statement Sree Chitra Tirunal Institute for Medical Sciences & Technology Trivandrum Kerala India. Electronic address: drhari@sctimst.ac.in. Convenor CSI Guidelines Committee Vivekananda Institute of Medical Sciences Kolkata India. Joint Coordinator CSI HF Position Statement KG Medical University Lucknow India. All India Institute of Medical Sciences New Delhi India. Joint Convenor CSI Guidelines Committee Apollo Hospitals Kolkata India. Institute of Post Graduate Medical Education & Research Kolkata West Bengal India. Department of Cardiology Tamil Nadu Medical University Billroth Hospital Chennai Tamil Nadu India. Asian Heart Institute Mumbai India. Department of Cardiology Sanjay Gandhi PGIMS Lucknow Uttar Pradesh India. Department of Cardiology Lokmanya Tilak Municipal Medical College and General Hospital Mumbai Maharashtra India. Department of Cardiology Westfort Hi Tech Hospital Thrissur Kerala India. Daffodil Hospitals Kolkata West Bengal India. Department of Cardiology & Chief of Electro Physiology Department Care Hospitals Hyderabad Telangana India. Clinical & Preventive Cardiology Arihant Hospital & Research Centre Indore Madhya Pradesh India. Paras-HMRI Patna Bihar India. Department of Cardiology King George's Medical University Lucknow Uttar Pradesh India. The Tamil Nadu Dr.M.G.R. Medical University Tamil Nadu India. Arrhythmia Associates Mumbai Maharashtra India. Department of Cardiology RTIICS Kolkata India. Apollo Hospital Bangalore Karnataka India. Department of Cardiology IGIMS Patna Bihar India. Department of Cardiology JIPMER Puducherry India. Cardiac Sciences Fortis Malar Hospital Adyar Chennai Tamil Nadu India. Holy Family Hospitals Mumbai Maharashtra India. Sri Jayadeva Institute of Cardiovascular Sciences and Research Bangalore Karnataka India. Gleneagles Global Hospitals Mumbai Maharashtra India. Institut

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Indigenous knowledge management to enhance community resilience to tsunami risk: lessons learned from Smong traditions in Simeulue island, Indonesia

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IOP Conference Series: Earth and Environmental Science 2017年第1期56卷

作者： A Rahman A Sakurai K Munadi Department of International Environment and Resources Policy International Post Graduate Program in Human Security and Society Graduate School of International and Cultural Studies Tohoku University 41 Kawauchi Aoba-ku Sendai Miyagi 980-8579 Japan Tsunami and Disaster Mitigation Research Center (TDMRC) Syiah Kuala University Banda Aceh 23233 Indonesia Division of Disaster Information Management and Public Collaboration International Research Institute of Disaster Science (IRIDeS) Tohoku University Sendai Miyagi 980-0845 Japan

Knowledge accumulation and production embedded in communities through social interactions meant that the Smong tradition of indigenous knowledge of tsunami risk successfully alerted people to the 2004 tsunami, on the island of Simeulue, in Aceh, Indonesia. Based on this practical example, an indigenous management model was developed for Smong information. This knowledge management method involves the transformation of indigenous knowledge into applicable ways to increase community resilience, including making appropriate decisions and taking action in three disaster phases. First, in the pre-disaster stage, the community needs to be willing to mainstream and integrate indigenous knowledge of disaster risk reduction issues into related activities. Second, during disasters, the Smong tradition should make the community able to think clearly, act based on informed decisions, and protect themselves and others by using their indigenous knowledge. Last, in the post-disaster phase, the community needs to be strong enough to face challenges and support each other and 'building back better' efforts, using local resources. The findings for the Smong tradition provide valuable knowledge about community resilience. Primary community resilience to disasters is strongly related to existing knowledge that triggers appropriate decisions and actions during pre-disaster, disaster, and post-disaster phases.

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Effect of treatment of sisal fiber on morphology, mechanical properties and fiber-cement bond strength

Effect of treatment of sisal fiber on morphology, mechanical...

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作者： Santos, Rogério De Jesus Lima, Paulo Roberto Lopes Post-graduate Program of Civil and Environmental Engineering Department of Technology State University of Feira de Santana Av. Transnordestina S/N-Novo Horizonte Feira de Santana Bahia44036-900 Brazil

The dimensional instability of vegetable fibers due to hygroscopicity results in a gradual loss of adherence in cement based composites which, when in service, are submitted to a natural variation of humidity. Such an effect reduces the contribution of the fiber as a reinforcement and can cause the early rupture of the material. In this work, a treatment of the sisal fibers is performed with the applying of wetting-drying cycles in order to alter their crystalline structure and improve the dimensional stability of the fiber to withstand the variation of humidity: 6, 10, 20, 30 and 34 cycles were applied in order to evaluate the effect on the properties of fiber;a tensile test, the morphological characterization (MEV) and the evaluation of the chemical structure of fiber were carried out. The effect of the treatment on fiber-matrix behavior was evaluated using the pull-out test. Embedded lengths of 16, 20, 30, 40 and 44 mm were defined through a factorial design and used in the test. It is verified that the use of 10 wetting-drying cycles causes less damage to the tensile strength and the elastic modulus of the fiber and contributes to a better adherence with the matrix, with an increase of up to 23 % compared with the untreated fiber. The statistical analysis of the interaction effect between the studied factors, using 2K factorial design with central composite design, indicates that the number of cycles can be decreased when using a longer length of the embedded fiber. © (2015) Trans Tech Publications, Switzerland.

关键词： Tensile strength

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Polymorphisms of p53 and family proteins (p63 and p73) in Thalidomide embryopathy

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Reproductive Toxicology 2016年 60卷 184-185页

作者： Thayne W. Kowalski Julia A. Gomes Mariléa F. Feira Lucas R. Fraga Maria T.V. Sanseverino Lavínia Schuler-Faccini Fernanda S.L. Vianna INAGEMP – Instituto Nacional de Genética Médica Populacional Porto Alegre Brazil Post-Graduate Program in Genetics and Molecular Biology Universidade Federal do Rio Grande do Sul Porto Alegre Brazil Laboratory of Medical Genetics and Evolution Genetics Department Universidade Federal do Rio Grande do Sul Porto Alegre Brazil Teratogen Information Service Medical Genetics Service Hospital de Clínicas de Porto Alegre Brazil

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Proceedings from the IV Brazilian Meeting on Research Integrity, Science and Publication Ethics (IV BRISPE)

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Research Integrity and Peer Review 2017年第1期2卷 1-12页

作者： Sonia Vasconcelos Edson Watanabe L. P. Garcia E. Duarte M. C. Cassimiro M. M. P. Diós-Borges A. M. M. Soares C. H. Debenedito Silva A. A. P. Santa Rosa G. A. Fófano H. S. Pinheiro A. M. Gollner C. C. Santos S. M. R. Vasconcelos D. C. Machado P. V. S. Souza R. T. Souza M. D Ribeiro P. Biancovilli M. Fontes-Domingues V. C. Garbocci R. Neves M. D. Ribeiro R. Amaral M. M. M. Machado P. M. Lourenço V. Ronchi A. C. Furnival L. S. Gracioso M. D. P. Silva F. M. Litto M. Patrão Neves A. S. Carvalho J. Araújo S. Liskauskas R. Kant de Lima S. C. Bourguignon F. R. Mota H. G. Falcão J. C. Amaral A. C. Quintela A. Schtscherbyna A. Palma C. A. Guimarães D. Foguel E. H. Watanabe R. M. V. R. Almeida J. R. Lapa e Silva M. M. Sorenson B. C. Machado A. P. Vicentini A. A. B. Almodóvar R. M. Catarino H. H. Caiaffa Filho E. Damasio J. Leta L. V. R. Rezende S. Cruz-Riascos A. Abreu M. Russo P. G. Camacho M. Palácios N. R. A. Silva M. R. C. G. Novaes D. Guilhem H. S Selistre-de-Araujo A. S. C. Abreu Science Education Program Institute of Medical Biochemistry Leopoldo de Meis (IBqM) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Committee on Research Integrity (CRI) Advisory Council for Research Ethics (CTEP) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Electrical Engineering Program (PEE) Institute Alberto Luiz Coimbra of Graduate Studies and Research in Engineering (COPPE) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Institute for Applied Economic Research (IPEA) Brasília Federal District Brazil Secretary for Health Surveillance Ministry of Health Brasília Federal District Brazil Scientific Integrity Committee Oswaldo Cruz Foundation Oswaldo Cruz Institute (IOC/FIOCRUZ) Rio de Janeiro Brazil Scientific Integrity Committee Oswaldo Cruz Institute Oswaldo Cruz Foundation (IOC/FIOCRUZ) Rio de Janeiro Brazil Bioethics Institute Catholic University of Portugal Porto Portugal Rio de Janeiro State University (UERJ) Rio de Janeiro Brazil National Cancer Institute (INCA) Cancer Hospital IV - Ethics Committee for Clinical Research Rio de Janeiro Brazil Federal General Hospital of Bonsucesso Rio de Janeiro Brazil Human Research Ethics Committee University Hospital of Juiz de Fora (HU-UJFJ) Juiz de Fora Minas Gerais Brazil Faculty of Southeastern Minas Gerais (FACSUM) Juiz de Fora Minas Gerais Brazil São Pedro Educational Institute (IESPe) Juiz de Fora Minas Gerais Brazil University Hospital of Juiz de Fora (HU-UJFJ) Juiz de Fora Minas Gerais Brazil Department of Biology and Sciences Pedro II School Rio de Janeiro Brazil Science Education Program Institute of Medical Biochemistry Leopoldo de Meis Federal University of Rio de Janeiro (IBqM/UFRJ) Rio de Janeiro Brazil Professional Masters Program in Science Education Institute of Medical Biochemistry Leopoldo de Meis (IBqM) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Research Ethics Committee Clementino Fraga Filho University Hos

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Anodic transcranial current stimulation in the motor rehabilitation of 105 children with spastic cerebral palsy: Experience of Brazilian service

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Brain Stimulation 2017年第4期10卷 e39-e39页

作者： Luanda André Collange Grecco Natália de Almeida Carvalho Duarte Camila Cosmo Manuela Galli Claudia Santos Oliveira Nelci Zanon Center of Pediatric Neurostimulation – CENEPE rehabilitation and Post Doctoral student in Universidade Federal de São Paulo São Paulo Brazil Doctoral Program in Rehabilitation Sciences Nove de Julho University São Paulo Brazil Post Graduate Program — Interactive Process of Organs and Systems Health Sciences Institute Federal University of Bahia Salvador Brazil Department of Electronic Information and Bioengineering Politecnico di Milano and IRCCS San Raffaele Pisana Milan and Rome Italy Professor Master and Doctoral Programs in Rehabilitation Sciences Movement Analysis Lab University Nove de Julho São Paulo Brazil Center of Pediatric Neurosurgery – CENEPE São Paulo Brazilf

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MERA-A Multi-Clustered Energy Efficient Routing Algorithm in WSN

MERA-A Multi-Clustered Energy Efficient Routing Algorithm in...

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International Conference on information technology

作者： Samaleswari P. Nayak S. C. Rai Sateesh K. Pradhan Department of Comp.Sc. and Engg. Silicon Institute of Technology Department of Information Technology Silicon Institute of Technology Post Graduate Department of CSA Utkal University

ISBN: (纸本)9781509004881

A synchronized network time is always necessary for scheduling to achieve energy efficiency, data fusion, localization for WSN applications. The major limitation in a WSN is the battery usage and lifetime of the nodes. Due to the power restriction of nodes, efficient routing is very important to save the battery of sensors to enhance the lifetime of the sensor area. The multi-head chain concept is responsible for maximization of network duration. Thus, an algorithm hace been proposed for efficient multi clustered Energy efficient routing protocol (MERA) a multiple-neighbor prototype with minimization of distance control mechanism to obtain almost maximum energy utilisation of WSNs. As the automatic movement of node is steered by energy, there is a need to confine this movement within boundaries and the trajectory of different nodes should be fixed. In our technique, the sink is kept fix and data transfer with aggregation at different nodes guarantee complete data collection. In our algorithm as per the capacity of mobile nodes We ultimately have performed various instance of experiments to find the performance of the cluster chain leader (CCL) where each CCL communicate to its nearest CCL and finally to the sink. The results says that the proposed finding is nearly optimal and also better than PEGASIS with respect various features.

关键词： WSN Data Aggregation Energy Aggregation Multi Clustered Chaining CCL

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An intelligent optimization model analysis and design of bio-filtration in raw water quality improvement

An intelligent optimization model analysis and design of bio...

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International Conference on Adaptive and Intelligent Agroindustry (ICAIA)

作者： Ramiza Dewaranie Lauda Taufik Djatna IPB Student of Post Graduate Program of Aero-industrial Technology Supervisor Assoc. Prof of Agro-industrial Technology Department IPB

Currently clean water treatment technology is in-need to optimize available environmental-friendly bio-filtration technology as means for pre-treatment of raw water quality improvement with the intelligent computational model. The objectives of this research is to identify the component and process in systems analysis, to develop the design for an intelligent optimization model of bio-filtration in raw water quality improvement. In this paper, optimization model of bio-filtration was simulated by using Process Hierarchy Diagram (PHD) and Business Process Modeling and Notation (BPMN) model with numerical integration to assist researchers in clean water technology by using artificial neuron network (ANN). The intelligent system was designed in two processing variables as the model inputs, namely pollutant concentration and hydraulic retention time (HRT). By modifying and controlling value of these variables, researchers determined the influences on the three bio-filtration crucial biochemical properties, such as pollutant index (PI), mass balance (MB), and microbial growth (MG). Model verification result showed that the model succeeded conducting an optimization for all properties. Thus this proposed system is potentially to optimize model of bio-filtration in raw water improvement in a simpler and fully controllable model.

关键词： Water pollution Biological system modeling Filtration Optimization Business Computational modeling Steady-state

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