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2017 International MultiConference of Engineers and computer Scientists, IMECS 2017

作者： Patel, Parag Skevoulis, Sotiris University Alumni India Software Engineering Program Seidenberg School of Computer Science and Information System Pace Univerrch United States

ISBN: (纸本)9789881404732

Developing safe and reliable software is not a luxury but a necessity given our staggering level of dependency on it. Indeed, we have handed over our ability to function day to day to an electronic array or zeros and ones and we expect, demand and rely on these invisible bits to work without error or fault. However, the process of building such reliable software is far from simple. This paper will examine the practical aspects of the problem as well as solutions that are either used or in the process of being evaluated and/or adopted by an NYC based financial institution to produce safe and reliable software.

关键词： Software reliability

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Data mining technique with cluster anaysis use K-means algorithm for LQ45 index on Indonesia stock exchange 1

Data mining technique with cluster anaysis use K-means algor...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Condrobimo, A. Raharto Abbas, Bahtiar Saleh Trisetyarso, Agung Suparta, Wayan Kang, Chul-Ho Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information System Bina Nusantara University Jakarta11480 Indonesia Civil Engineering Department University of Technology Yogyakarta Yogyakarta Indonesia Department of Electronic and Communication Engineering Kwangwoon University Korea Republic of

ISBN: (纸本)9781538609545

This study aims to apply data mining techniques with cluster analysis on stock data registered in LQ45 in Indonesia Stock Exchange. The cluster analysis used in this method is k-means algorithm, the data in this research is taken from Indonesia Stock Exchange. The cluster analysis in this study analyzed the characteristics of data volumes and stock values, while the results in this study were presented in the form of cluster members visually. Therefore, this cluster analysis in this research can be used for quick and efficient identifier for each member of LQ45 index cluster based on share value for each cluster and its volume. The identification results can be used by beginner-level investors that begun to be interested in stock investments to help make informed decisions about stock trading on desired cluster groups. © 2018 IEEE.

关键词： Cluster analysis

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The Form of High-Performance Computing: A Survey

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IOP Conference Series: Materials science and engineering 2019年第5期662卷

作者： Priati Assiroj H L H S Warnars R Kosala B Ranti S Supangat A I Kistijantoro E Abdurrachman Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Information System Dept. Buana Perjuangan University Karawang Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Information System Department Bina Nusantara University Jakarta Information System Technology Department Institut Teknologi Bandung School of Electronics Engineering and Informatics Institut Teknologi Bandung

Computational technology is an important thing that needed in the whole of human life. Along with the development of computer technology, there are a significant data created and wait to be processed; we will get more advantages if it well-processed, if not we will see the data explosion, the data is just a useless stack. Research mitigates the other research paper and makes a conclusion and a report by PRISMA method. The development of computer technology will support the development of an organization. Considering any factors in choosing the right and suitable high-performance computer resource due to our organization is a must. The existing high-performance computing forms are Supercomputer, Grid Computing, Cluster Computing, and Cloud Computing. Based on this work, the last form of high-performance computing, Cloud Computing is one of the most used forms thus we mitigate its advantages and disadvantages. Recently, to process this vast data, we must have a high-performance computer and to provide it, this is not a cheap resource.

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Self-Awareness for Autonomous systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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Author Correction: Feasibility of peak temperature targets in light of institutional constraints

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Nature Climate Change 2025年 119页

作者： Christoph Bertram Ryna Cui Nate Hultman Gokul Iyer Gunnar Luderer Elmar Kriegler Rahel Mandaroux Elina Brutschin Bas van Ruijven Oliver Fricko Shinichiro Fujimori Volker Krey Joeri Rogelj Keywan Riahi Laurent Drouet Lara Aleluia Reis Luiz Bernardo Baptista Roberto Schaeffer Harmen-Sytze de Boer Vassilis Daioglou Isabela Tagomori Detlef van Vuuren Florian Fosse Kimon Keramidas Dimitris Fragkiadakis Zoi Vrontisi Diego Silva Robin D. Lamboll Pedro Rochedo Center for Global Sustainability (CGS) School of Public Policy University of Maryland College Park MD USA Potsdam Institute for Climate Impact Research (PIK) Member of the Leibniz Association Potsdam Germany Joint Global Change Research Institute Pacific Northwest National Laboratory and University of Maryland College Park MD USA Global Energy Systems Analysis Technische Universität Berlin Berlin Germany Faculty of Economics and Social Sciences University of Potsdam Potsdam Germany International Institute for Applied System Analysis (IIASA) Laxenburg Austria Department of Environmental Engineering Kyoto University Kyoto Japan Social Systems Division National Institute for Environmental Studies (NIES) Tsukuba Japan Centre for Environmental Policy and Grantham Institute–Climate Change and Environment Imperial College London London UK Graz University of Technology Graz Austria CMCC Foundation–Euro-Mediterraneaen Center on Climate Change Milan Italy RFF-CMCC European Institute of Economics and the Environment Milan Italy Centre for Energy and Environmental Economics (Cenergia) Energy Planning Program (PPE) COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Netherland’s Environmental Agency (PBL) The Hague The Netherlands Copernicus Institute for Sustainable Development Utrecht University Utrecht The Netherlands European Commission Joint Research Centre (JRC) Seville Spain Grenoble Applied Economics Lab Université Grenoble Alpes Grenoble France E3Modelling Athens Greece Research and Innovation Center on CO2 and Hydrogen (RICH Center) and Management Science and Engineering Department Khalifa University Abu Dhabi United Arab Emirates

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Sherlock: Capturing Probe Requests for Automatic Presence Detection

Sherlock: Capturing Probe Requests for Automatic Presence De...

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International Conference on computer Supported Cooperative Work in Design

作者： Luiz Oliveira João Henrique Daniel Schneider Jano de Souza Sérgio Rodriques Weiming Sherr IFRJ Federal Institute of Rio de Janeiro Brazil Systems Engineering and Computer Science Program/COPPE Federal University of Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil National Research Council Canada Constructicn Research Centre Canada

The ubiquity of smartphones creates great opportunities for participatory sensing, where people can implicitly contribute observations about their local environments through sensors such as cameras and accelerometers. The collected data can then be aggregated and used to benefit the crowd in some way. In this paper, we report on the current development of Sherlock, a device capable of automatically detecting the presence of people in localities through evidences left by smartphones called probe requests, without any user intervention. To validate the proposed mechanism implemented in the device, we performed an experiment with ten participants in six rounds where it was possible to automatically detect 41 presence events, of which 66% could be detected within less than 30s. The implicit crowdsourcing mechanism behind this approach may allow real-time monitoring of people flows in public environments, which can enable, among other things, energy systems to be automatically orchestrated according to demand, reducing associated costs.

关键词： Probes Wireless fidelity Smart phones Wireless networks Monitoring Prototypes

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Who is right? Evaluating empirical contradictions in the readability & comprehensibility of source code 20

Who is right? Evaluating empirical contradictions in the rea...

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20th Ibero-American Conference on Software engineering, CIbSE 2017

作者： Ribeiro, Talita Vieira Travassos, Guilherme Horta PESC/COPPE/UFRJ - Systems Engineering and Computer Science Program Centro de Tecnologia Federal University of Rio de Janeiro Cidade Universitária Bloco H Sala 319 Rio de Janeiro RJ Brazil

ISBN: (纸本)9789873806988

Context: Several code guidelines aim at providing a common perspective on the readability and comprehensibility of source code. However, in many cases, they are contradictory on how to improve these quality characteristics. Objective: To analyze the influence of three contradictory source code attributes - indentation spacing, identifier length and code size - on the source code reada-bility and comprehensibility, interpreting whether programming experience and domain knowledge can support explaining these contradictions. Method: To per-form an empirical study with software developers collecting quantitative (Likert scale) and qualitative data to assess the readability and comprehensibility of de-velopers regarding Python snippets. To observe eventual perceptions contradic-tions and whether their levels of experience and knowledge have something to do with such contrary results. Results: Regardless their programming experience, 4-spaces indentation dominated the readability preference of participants. While the readability and comprehensibility preferences towards long and complete-word identifiers were mostly true for both novice/experts, developers with more experience and low domain knowledge level seemed to be more affected by the length of identifiers. Furthermore, while all participants showed more positive comprehensibility perceptions for Pythin snippets with more lines of code, their readability perceptions regardnig code size were contradictory since the less experienced participants preferred more lines of code and the more experienced ones prefer fewer lines. Conclusion: The results presented in the technical literature seemed to be caused by the interchangeable use of the readability and comprehensibility concepts. Further investigation is still needed to observe whether other confounding factors might support the explanation of such contrary results.

关键词： Codes (symbols)

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Prototype of Learning Applications for Modern Cryptographic Techniques Using RC4 Algorithms to Support computer Security Courses 1

Prototype of Learning Applications for Modern Cryptographic ...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Iqbal, Muhammad Nazar, Nasrul Erliana, Cut Ita Irwansyah, Defi Kurniasih, Nuning Susilo, Edi Iskandar, Akbar Suryani, Rini Supriyono Sudarmaji Permana, Erwin Putera Erwinsyah, Alfian Sujinah Haimah Sudarsana, I Ketut Department of Computer System Universitas Pembangunan Panca Budi Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Departement of Agrotechnology University of Ratu Samban Bengkulu Indonesia Department of Informatics Universitas Malikussaleh Lhokseumawe Indonesia Departement of Agrotechnology Sekolah Tinggi Ilmu Pertanian Rejang Lebong Bengkulu Indonesia Department of Geography Education Universitas Prof. Dr. Hazairin SH. Bengkulu Bengkulu Indonesia Faculty of Computer Sciences Universitas Muhammadiyah Metro Indonesia Department of Elementary School Teacher Education Universitas Nusantara PGRI Kediri Indonesia Faculty of Education and Teacher Training IAIN Sultan Amai Gorontalo Indonesia Faculty of Education University Muhammadiyah of Surabaya Surabaya Indonesia Department of Education Management Universitas Prof. Dr. Hazairin SH.Bengkulu Bengkulu Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

The security of information in this global era is increasingly becoming a vital need in various aspects of life. An information will have a higher value when it comes to aspects of business decisions. This study presents a learning application to explain how to secure data using cryptographic techniques. This study aims to design a prototype learning application of cryptographic techniques using algorithm RC4 method. Based on the results of data analysis and after completing the design of RC4 algorithm cryptographic learning software, the authors found this software shows every step and stages of the processes (data input process (Plaintext or Ciphertext string), Key padding process (U), formation process in S-Box table, the Key-Flow formation process (K-keystream), encryption process and decryption process) contained in RC4 algorithm cryptography, so it can help understanding or learning work procedures of algorithms in the cryptographic method. Microsoft Visual Basic 2008 is an IDE (Integrated Development Environment) application that is used to create and develop software. In this application there were various features that facilitate programming such as compilation, debugging, project settings, designing and editing visual interfaces, and so on. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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Data Mining: The Classification Method to Predict the Types of Motorcycle Spare Parts to be Restocked

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IOP Conference Series: Materials science and engineering 2019年第2期662卷

作者： S L B Ginting Y R Ginting Sutono A Rakhman Computer System Study Program Faculty of Engineering and Computer Science Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung 40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 12 5 Simpang Baru Pekanbaru 28293 Indonesia

The research intends to create an application which is able to analyse sales data in a motorcycle company to predict the types of spare parts which should be stocked. This prediction is crucial since problems are often encountered while restocking. For instance, when there have been some imprecisions occurring in deciding regarding the types of spare parts to restock, the spare parts accumulate. It can cause inefficiency in terms of storage, the products quality deteriorates due to having been stored for too long, and sometimes the best-selling products are not available in the warehouse. This application is developed with Naïve Bayes Classifier (NBC) method which has a high accuracy in predicting future occurrences. This method works by calculating the probability value in each attribute class and determining the optimal probability value. From the test results, 4500 training data with 200 sample test data has 90% similarity with the results of the restock decision without application. For 500 test data, the similarity was 96%. It is proven that this method has a high accuracy so that it can help the decision makers solved the company problem in predicting the types of motorcycle parts to be restocked.

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Market Basket Analysis Using Apriori and FP-Growth for Analysis Consumer Expenditure Patterns at Berkah Mart in Pekanbaru Riau

Market Basket Analysis Using Apriori and FP-Growth for Analy...

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2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer science, Information systems, and Information Technology, WMA-Mathcomtech 2018

作者： Mustakim Herianda, Della Maulina Ilham, Ahmad Daeng Gs, Achmad Laumal, Folkes E. Kurniasih, Nuning Iskandar, Akbar Manulangga, Gloria Indra Iswara, Ida Bagus Ary Rahim, Robbi Puzzle Research Data Technology UIN Sultan Syarif Kasim Riau Indonesia Department of Information System UIN Sultan Syarif Kasim Riau Indonesia Informatics Department Universitas Muhammadiyah Semarang Semarang Indonesia Department of Management University of 45 Surabaya Surabaya Indonesia Department of Electrical Engineering Politeknik Negeri Kupang Kupang Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Informatics Department STMIK STIKOM Indonesia Denpasar Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia

Berkah Mart is one of the new minimarkets in Pekanbaru city which began to develop as a retail business to meet the needs of the community. In his operation, Berkah Mart still uses the traditional store management perception that the placement of product layout on sale shelves has not been through sales analysis. Existing products have not been reviewed from the consumer's point of view, whereas the marketing economics concept provides a variety of product and consumer management methods for business management in Berkah Mart, including market bucket analysis techniques and various itemset search algorithms. In this research, Market Basket Basket Analysis with FP-Growth algorithm is proposed to determine the layout and planning of goods availability. The application of FP-Growth algorithm proved to be useful in generating many and informative association rules to find out the consumer spending pattern at Berkah Mart in Pekanbaru. Moreover, from the rules of the customer association can be segmented separately to meet the specific needs of customers with cost-effective by using some special promotions for the general group. The experimental results show that FP-Growth algorithm can analyze quickly and efficiently informing consumer shopping pattern at Berkah Mart and can increase Berkah Mart revenue. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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