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Supercapacitors: Carbon-Nanosheet Based Large-Area Electrochemical Capacitor that is Flexible, Foldable, Twistable, and Stretchable (Small 43/2018)

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Small 2018年第43期14卷

作者： Jong Han Jun Hyeonjun Song Changsoon Kim In-Suk Choi Youngjin Jeong Ji-Hoon Lee Department of Information Communication Materials and Chemistry Convergence Technology Soongsil University Seoul 06978 Republic of Korea Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 08826 Republic of Korea Advanced Institutes of Convergence Technology Suwon Gyeonggi 16229 Republic of Korea Department of Materials Science and Engineering Seoul National University Seoul 08826 Republic of Korea Department of Organic Materials and Fiber Engineering Soongsil University Seoul 06978 Republic of Korea Advanced Functional Thin Films Department Surface Technology Division Korea Institute of Materials Science (KIMS) Changwon Gyeongnam 51508 Republic of Korea

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Internet and learning resources: a case study of the Library and information Science Students at Universitas Padjadjaran

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Nuning Kurniasih Rian Fiqih Rhefhansha Yulianti Muh Barid Nizarudin Wajdi Sujito Armin Haluti Haimah Deffi Ayu Puspito Sari Rosida Tiurma Manurung Sri Wiwoho Mudjanarko Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Sekolah Menengah Pertama Islam Rajapolah Tasikmalaya Indonesia Sekolah Dasar Negeri 3 Rajapolah Tasikmalaya Indonesia STAI Miftahul Ula Nganjuk Indonesia Department of English Language Education IAIN Surakarta Surakarta Indonesia Faculty of Teacher Training and Education Universitas Muhammadiyah Luwuk Banggai Indonesia Faculty of Teacher and Education Universitas Prof. Dr. Hazairin S.H Indonesia Department of Envinronmental Engineering Universitas Bakrie Jakarta Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Narotama University Surabaya Indonesia

Student learning and reading activities today cannot be separated from internet media. This study aims to determine the benefits of information retrieval systems, the positive impacts and negative impacts of internet use and learning activities, especially those related to the student reading activities in the internet era. This study uses a case study approach with purposive sampling by selecting 20 students of class 2014 from the Library and information Science program of the Faculty of communication Sciences, Universitas Padjadjaran as the research informants. Data collection techniques were obtained through in-depth interviews, observation and literature review. The results showed that the internet became the primary source of information for most students of the Library and information Science program at the Faculty of communication Sciences, Universitas Padjadjaran. However, they still assume that the credibility of printed information sources is stronger than online information sources. This can be seen from printed books or online and electronic sources which become the results of the form of printed books being the main reference for the college assignments which are considered to be done more seriously by the informants.

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Application of Interpolation Image by using Bi-Cubic Algorithm

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Dahlan Abdullah F Fajriana M Maryana Lidya Rosnita Andysah Putera Utama Siahaan Robbi Rahim P Harliana H Harmayani Zainuddin Ginting Cut Ita Erliana Defi Irwansyah Z Zulmiardi Muammar Khaddafi Feby Milanie Henry Aspan Ismul Huda Kundharu Saddhono Indrya Mulyaningsih Roy Marthen Moonti Parwito Hardianto Djanggih Ainna Amalia Edy Winarno Wiwien Hadikurniawati Department of Informatics Universitas Malikussaleh Aceh Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Engineering Sekolah Tinggi Teknik Harapan Medan Indonesia Department of Informatics AMIK Intel Com Global Indo Indonesia Department of Chemical Engineering Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Mechanical Engineering Universitas Malikussaleh Aceh Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia Universitas Pembangunan Panca Budi Medan Indonesia Universitas Syiah Kuala Aceh Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Indonesian Language Teaching Department Institut Agama Islam Negeri Syekh Nurjati Cirebon Indonesia Department of Law Universitas Gorontalo Gorontalo Indonesia Department of Agrotechnology Universitas Ratu Samban Bengkulu Indonesia Department of Law Universitas Tompotika Luwuk Banggai Luwuk Indonesia Islamic Institut of Miftahul Ula Kertosono Nganjuk East Java Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia

Image magnification is one of the branches in digital image processing that is often required in various applications such as in the field of medicine, multimedia, and in satellite imagery. As technology grows, more and more methods are used for image enlargement. In this study, the image enlargement process performs by using Bi-Cubic spline interpolation method, and the result of image try to compare between the original one and picture after enlargement.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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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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A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures and Uniform Distribution Considering DCF and EDCA

A GA-Based Simulation System for WMNs: Performance Analysis ...

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International Conference on Advanced information Networking and Applications (AINA)

作者： Ilir Shinko Tetsuya Oda Evjola Spaho Admir Barolli Vladi Kolici Leonard Barolli Faculty of Information Technologies Polytechnic University of Tirana Bul. Dëshmorët e Kombit Mother Theresa Square Tirana Albania Graduate School of Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-Ku Fukuoka Japan Logos University Rr. Dritan Hoxh Pallati Komfort (mbi NBG) Tirana Albania Universiteti Politeknik i Tiranes Tirana AL Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-Ku Fukuoka Japan

ISBN: (纸本)9781509018598

Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In this paper, we evaluate the performance of two WMN architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and Optimized Link State Routing (OLSR). We compare the performance for Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for uniform distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for I/B WMN, the throughput of EDCA is a little bit higher than Hybrid WMN. However, for Hybrid WMN, the throughput of DCF is higher than EDCA. The delay and jitter of both architectures are almost the same. However, in the case of DCF for 20 flows, the delay and jitter of I/B WMN is a lower compared with Hybrid WMN. The fairness index of 10 flows is higher than other flows for both WMN architectures.

关键词： Conferences

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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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Correction: Interface structure, precursor rheology and dielectric properties of BaTiO3/PVDF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles

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RSC Advances 2017年第73期7卷 45987-45987页

作者： Y. N. Hao K. Bi S. O’Brien X. H. Wang J. Lombardi F. Pearsall W. L. Li M. Lei Y. Wu L. T. Li State Key Laboratory of Information Photonics and Optical Communications School of Science Beijing University of Posts and Telecommunications Beijing 100876 China The Department of Chemistry and Biochemistry The City College of New York The Ph.D. Program in Chemistry The Graduate Center of the City University of New York New York NY 10016 USA State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China School of Journalism and Communication Beijing Normal University Beijing 100875 China

Correction for ‘Interface structure, precursor rheology and dielectric properties of BaTiO3/PVDF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles’ by Y. N. Hao et al., RSC Adv., 2017, 7, 32...

Correction for ‘Interface structure, precursor rheology and dielectric properties of BaTiO₃/PVDF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles’ by Y. N. Hao et al., RSC Adv., 2017, 7, 32886–32892.

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Performance Evaluation of a VANET Simulation System Using NS-3 and SUMO

Performance Evaluation of a VANET Simulation System Using NS...

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International Conference on Advanced information Networking and Applications Workshops (AINAW)

作者： Vladi Kolici Tetsuya Oda Evjola Spaho Leonard Barolli Makoto Ikeda Kazunori Uchida Faculty of Information Technologies Polytechnic University of Tirana Tirana Albania Graduate School of Engineering Fukuoka Institute of Technology (FIT) Fukuoka Japan Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) Fukuoka Japan

ISBN: (纸本)9781479917761

In this paper, we investigate the performance of HWMP, OLSR and DD protocols in a VANET crossroad scenario. The mobility patterns of vehicles are generated by means of SUMO (Simulation of Urban Mobility) and as communication protocol simulator is used NS3 (Network Simulator 3). For the simulations, we used IEEE 802.11p standard, Two Ray Ground Propagation Loss Model and sent multiple CBR flows over UDP between 20 source-destination pairs. We use Packet Delivery Ratio (PDR), throughput and delay as evaluation metrics. We compared the performance of three protocols and the simulation results shows that the DD protocol has better PDR and throughput compared with HWMP and OLSR protocol. However, the DD protocol has a long delay because is a delay tolerant protocol.

关键词： Vehicles Routing protocols Delays Throughput Peer-to-peer computing Simulation

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Application of Neural Networks for Intrusion Detection in Tor Networks

Application of Neural Networks for Intrusion Detection in To...

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International Conference on Advanced information Networking and Applications Workshops (AINAW)

作者： Taro Ishitaki Donald Elmazi Yi Liu Tetsuya Oda Leonard Barolli Kazunori Uchida Graduate School of Engineering Fukuoka Institute of Technology (FIT) Higashi-Ku Fukuoka Japan Faculty of Information Technologies Polytechnic University of Tirana Tirana Albania Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) Higashi-Ku Fukuoka Japan

ISBN: (纸本)9781479917761

Due to the amount of anonymity afforded to users of the Tor infrastructure, Tor has become a useful tool for malicious users. With Tor, the users are able to compromise the non-repudiation principle of computer security. Also, the potentially hackers may launch attacks such as DDoS or identity theft behind Tor. For this reason, there are needed new systems and models to detect the intrusion in Tor networks. In this paper, we present the application of Neural Networks (NNs) for intrusion detection in Tor networks. We used the Back propagation NN and constructed a Tor server and a Deep Web browser (client). Then, the client sends the data browsing to the Tor server using the Tor network. We used Wireshark Network Analyzer to get the data and then use the Back propagation NN to make the approximation. The simulation results show that our simulation system has a good approximation and can be used for intrusion detection in To networks.

关键词： Artificial neural networks Peer-to-peer computing Intrusion detection Neurons Servers Approximation methods

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