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DEA and Fuzzy Simple Additive Weighting for Benchmarking Qualitative Data

Journal of Physics: Conference Series 2019年第1期1361卷

作者： Dahlan Abdullah H Hartono Erianto Ongko Cut Ita Erliana Defi Irwansyah Akbar Iskandar Ayu Esteka Sari Abdussakir Yuniningsih Nurintan Asyiah Siregar Muhammad Syahrul Kahar Raditya Faisal Waliulu Ainna Amalia Nuning Kurniasih Muhammad Arifin Syafiul Muzid Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Informatics Akademi Teknologi Industri Immanuel Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Mathematics Education State Islamic University of Malang MalangIndonesia Department of Economic and Business Universitas Pembangunan Nasional 'Veteran' Surabaya Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Mathematics Education Department Universitas Muhammadiyah Sorong Sorong Indonesia Informatics Engineering Department Universitas Muhammadiyah Sorong Sorong Indonesia Islamic Institut of Miftahul Ula Kertosono Nganjuk East Java Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Information System Faculty of Engineering Universitas Muria Kudus Indonesia Information System Department Universitas Muria Kudus Indonesia

Data Envelopment Analysis (DEA) is one method that is often used in the benchmarking process. The benchmarking process with DEA is often faced with problems where there is a Decision Making Unit (DMU) both Input and Output which is not in the form of qualitative data but in the form of qualitative data. Qualitative data requires an assessment from the appraiser so that it can become quantitative data. This study will use the Fuzzy Simple Additive Weighting method to convert qualitative data into quantitative. The results of this study will produce a model that integrates DEA with Fuzzy Simple Additive Weighting.

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A New Image Encryption Technique Combining Hill Cipher Method, Morse Code and Least Significant Bit Algorithm

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Journal of Physics: Conference Series 2018年第1期954卷

作者： Dicky Nofriansyah Sarjon Defit Gunadi W Nurcahyo G Ganefri R Ridwan Ansari Saleh Ahmar Robbi Rahim Doctoral Student Department of Information System Universitas Negeri Padang STMIK Triguna Dharma Padang Medan Indonesia Indonesia Faculty of Computer Science Universitas Negeri Padang Padang Indonesia Faculty of Engineering Universitas Negeri Padang Padang Indonesia Department of Statistics Universitas Negeri Makassar Makassar Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia

Cybercrime is one of the most serious threats. Efforts are made to reduce the number of cybercrime is to find new techniques in securing data such as Cryptography, Steganography and Watermarking combination. Cryptography and Steganography is a growing data security science. A combination of Cryptography and Steganography is one effort to improve data integrity. New techniques are used by combining several algorithms, one of which is the incorporation of hill cipher method and Morse code. Morse code is one of the communication codes used in the Scouting field. This code consists of dots and lines. This is a new modern and classic concept to maintain data integrity. The result of the combination of these three methods is expected to generate new algorithms to improve the security of the data, especially images.

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Implementation of Data Mining to Classify the Consumer's Complaints of Electricity Usage Based on Consumer's Locations Using Clustering Method

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Journal of Physics: Conference Series 2019年第1期1363卷

作者： A M H Pardede Yusdiana Br Sembiring Akbar Iskandar Dyah Retno Pitasari S Sriadhi Dian Rianita Muhammad Arifin Mersy Yoslin Ririhena Nurintan Asyiah Siregar Supriyono Ayu Esteka Sari Simson Tondo Muhammad Zarlis Edy Winarno Tulus STMIK Kaputama Binjai Sumatera Utara Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Law Universitas Halmahera Tobelo Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Department of Public Administrations Universitas Lancang Kuning Indonesia Department of Information System Faculty of Engineering Universitas Muria Kudus Indonesia Department of Accounting Universitas Halmahera Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Information System Universitas Muria Kudus Kudus Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Public Administration Universitas Halmahera Tobelo Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia

Data collected by PLN staff on customer's complaints in the usage of electricity are very huge and accumulate. Previously, there was no information about these kinds of complaints in all sub-districts included inside the company, PT. PLN Binjai. On the other hand, each year company experienced problems to classify all complaints in order to obtain customers with information to later be used as a basis for making policy/decision. Data mining used clustering method and K-Means algorithm to classify the data so that important information is obtained from customer's complaints on the electricity usage, using variable: types of complaints, power using by consumer and consumer's region. Data was analyzed using Matlab to produce cluster centers and obtained a relationship between variables obtained with groups with high number of complaints. Results revealed that from 500 customers who have complained, cluster 1 had 218 complaints namely NT Fuse Putus with power used was 1300 watt and was located in Binjai.

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

arXiv

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arXiv 2018年

作者： Maier-Hein, Lena Eisenmann, Matthias Reinke, Annika Onogur, Sinan Stankovic, Marko Scholz, Patrick Arbel, Tal Bogunovic, Hrvoje Bradley, Andrew P. Carass, Aaron Carolin Feldmann Frangi, Alejandro F. Ful, Peter M. van Ginneken, Bram Hanbury, Allan Honauer, Katrin Kozubek, Michal Landman, Bennett A. Marz, Keno Maier, Oskar Maier-Hein, Klaus Menze, Bjoern H. Müller, Henning Neher, Peter F. Niessen, Wiro Rajpoot, Nasir Sharp, Gregory C. Sirinukunwattana, Korsuk Speidel, Stefanie Stock, Christian Stoyanov, Danail Taha, Abdel Aziz van der Sommen, Fons Wang, Ching-Wei Weber, Marc-André Zheng, Guoyan Jannin, Pierre Kopp-Schneider, Annette Heidelberg Germany Centre for Intelligent Machines McGill University MontrealQC Canada Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna Vienna Austria Science and Engineering Faculty Queensland University of Technology BrisbaneQLD Australia Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore United States CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine University of Sheffield Sheffield United Kingdom Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center Nijmegen Netherlands Institute of Information Systems Engineering TU Wien Vienna Austria Heidelberg University Heidelberg Germany Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Electrical Engineering Vanderbilt University NashvilleTN United States Institute of Medical Informatics Universität zu Lübeck Lübeck Germany Heidelberg Germany Institute for Advanced Studies Department of Informatics Technical University of Munich Munich Germany Information System Institute HES-SO Sierre Switzerland Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC Rotterdam Netherlands Department of Computer Science University of Warwick Coventry United Kingdom Department of Radiation Oncology Massachusetts General Hospital BostonMA United States Institute of Biomedical Engineering University of Oxford Oxford United Kingdom National Center for Tumor Diseases Dresden Dresden Germany Heidelberg Germany Department of Computer Science University College London London United Kingdom Data Science Studio Research Studios Austria FG Vienna Austria Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands AIExplore NTUST Center of Computer Vision and Medical Imaging Graduate Institute of Biomedical Engineering National Ta

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, reproducibility and interpretation of the results is often hampered as only a fraction of relevant information is typically provided. Second, the rank of an algorithm is generally not robust to a number of variables such as the test data used for validation, the ranking scheme applied and the observers that make the reference annotations. To overcome these problems, we recommend best practice guidelines and define open research questions to be addressed in the future. Copyright © 2018, The Authors. All rights reserved.

关键词： Quality control

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Sound Absorption Type Single Reflex Bandpass from Rolled Kinds of Areca Nut with Polyurethane and Gypsum Matric

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Journal of Physics: Conference Series 2018年第1期1028卷

作者： Hasbullah Panggabean Selamat Triono S Sukardi Muhammad Iqbal Siregar A Abdillah W Warman Dicky Nofriansyah Ansari Saleh Ahmar Robbi Rahim Department of Material and Engineering Politeknik Teknologi Kimia Industri Medan Indonesia Universitas Negeri Medan Medan Indonesia Faculty of Computer Science Universitas Negeri Padang Padang Indonesia Faculty of Engineering Universitas Negeri Padang Padang Indonesia Department of Information System STMIK Triguna Dharma Medan Indonesia Department of Statistics Universitas Negeri Makassar Makassar Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia

This research is directed to sound absorption performance test on single-reflex bandpass type speaker box from a fiber of Areca Nut with polyurethane and gypsum matrix. The variables of this study change the frequency into 3 types namely, 125, 250 and 500 Hz and then modify the sound pressure into 10 types, namely, 31.5, 63, 125, 250, 500, 1000, 2000, 4000, 8000 and 16000 Hz. The preparation of the research material begins with a cutting of the areca nut, splitting, drying, picking fiber, chopping, and blending, sieving, making 3 types of sheet-shaped, mixing polyurethane with gypsum and printing specimens. Preparation of research materials in the form of box specimen type single reflex bandpass which is then tested with the method of buzz and sound pressure (SPL). While the value of voice pressure (SPL) circularly on the axis X, Y and Z obtained the highest average value 57 dB on the Y3 axis and the lowest average value of 51.59 dB on the X2 axis.

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Using conservative estimation for conditional probability instead of ignoring infrequent case

arXiv

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arXiv 2017年

作者： Kikuchi, Masato Yamamoto, Eiko Yoshida, Mitsuo Okabe, Masayuki Umemura, Kyoji Department of Computer Science and Engineering Toyohashi University of Technology Toyohashi441-8580 Japan Department of Economics and Information Gifu Shotoku Gakuen University Gifu500-8288 Japan Faculty of Management and Information System Prefectural University of Hiroshima Hiroshima734-8558 Japan

There are several estimators of conditional probability from observed frequencies of features. In this paper, we propose using the lower limit of confidence interval on posterior distribution determined by the observed frequencies to ascertain conditional probability. In our experiments, this method outperformed other popular estimators. Copyright © 2017, The Authors. All rights reserved.

关键词： Frequency estimation

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Plenary speaker

Plenary speaker

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International Conference on Power systems (ICPS)

作者： Anurag Srivastava Mohan Kolhe Alberto Borghetti Rajiv K. Varma Prasad Enjeti S. S. Mani Venkata Sushil K. Soonee Deepakraj M. Divan School of Electrical Engineering & Computer Science Washington State University USA Faculty of Engineering and Science University of Agder Norway Department of Electrical Electronic and Information Engineering “Guglielmo Marconi” University of Bologna Italy Electrical and Computer Engineering Department The University of Western Ontario London ON Canada Electrical and Computer Engineering Department Texas A & M University Texas USA Departmnet of Electrical Engineering University of Washington Seattle WA USA Power System Operation Corp. Ltd. New Delhi India John E Pippin Chair Director of the Center for Distributed Energy Georgia Institute of Technology Atlanta GA

Provides an abstract of the plenary presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.

关键词： Renewable energy sources Smart grids Electrical engineering Power system stability Patents Education

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Author Correction: Federated learning enables big data for rare cancer boundary detection

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Nature communications 2023年第1期14卷 436页

作者： Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih-Han Wang G Anthony Reina Patrick Foley Alexey Gruzdev Deepthi Karkada Christos Davatzikos Chiharu Sako Satyam Ghodasara Michel Bilello Suyash Mohan Philipp Vollmuth Gianluca Brugnara Chandrakanth J Preetha Felix Sahm Klaus Maier-Hein Maximilian Zenk Martin Bendszus Wolfgang Wick Evan Calabrese Jeffrey Rudie Javier Villanueva-Meyer Soonmee Cha Madhura Ingalhalikar Manali Jadhav Umang Pandey Jitender Saini John Garrett Matthew Larson Robert Jeraj Stuart Currie Russell Frood Kavi Fatania Raymond Y Huang Ken Chang Carmen Balaña Jaume Capellades Josep Puig Johannes Trenkler Josef Pichler Georg Necker Andreas Haunschmidt Stephan Meckel Gaurav Shukla Spencer Liem Gregory S Alexander Joseph Lombardo Joshua D Palmer Adam E Flanders Adam P Dicker Haris I Sair Craig K Jones Archana Venkataraman Meirui Jiang Tiffany Y So Cheng Chen Pheng Ann Heng Qi Dou Michal Kozubek Filip Lux Jan Michálek Petr Matula Miloš Keřkovský Tereza Kopřivová Marek Dostál Václav Vybíhal Michael A Vogelbaum J Ross Mitchell Joaquim Farinhas Joseph A Maldjian Chandan Ganesh Bangalore Yogananda Marco C Pinho Divya Reddy James Holcomb Benjamin C Wagner Benjamin M Ellingson Timothy F Cloughesy Catalina Raymond Talia Oughourlian Akifumi Hagiwara Chencai Wang Minh-Son To Sargam Bhardwaj Chee Chong Marc Agzarian Alexandre Xavier Falcão Samuel B Martins Bernardo C A Teixeira Flávia Sprenger David Menotti Diego R Lucio Pamela LaMontagne Daniel Marcus Benedikt Wiestler Florian Kofler Ivan Ezhov Marie Metz Rajan Jain Matthew Lee Yvonne W Lui Richard McKinley Johannes Slotboom Piotr Radojewski Raphael Meier Roland Wiest Derrick Murcia Eric Fu Rourke Haas John Thompson David Ryan Ormond Chaitra Badve Andrew E Sloan Vachan Vadmal Kristin Waite Rivka R Colen Linmin Pei Murat Ak Ashok Srinivasan J Rajiv Bapuraj Arvind Rao Nicholas Wang Ota Yoshiaki Toshio Moritani Sevcan Turk Joonsang Lee Snehal Prabhudesai Fanny Morón Jacob Mandel Konstantinos Kamnitsas Ben Glocker Luke V M Dixon Matthew Williams Peter Zamp Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Informatics Technical University of Munich Munich Bavaria Germany. Intel Corporation Santa Clara CA USA. Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany. Clinical Cooperation Unit Neuropathology German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Neuropathology Heidelberg University Hospital Heidelberg Germany. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany. Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany. Neurology Clinic Heidelberg University Hospital Heidelberg Germany. Department of Radiology & Biomedical Imaging University of California San Francisco San Francisco CA USA. Symbiosis Center for Medical Image Analysis Symbiosis International University Pune Maharashtra India. Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Bangalore Karnataka India. Department of Radiology School of Medicine and Public Health University of Wisconsin Madison WI USA. Department of Medical Physics School of Medicine and Public Health University of Wisconsin Madison WI USA. Leeds Teaching Hospitals Trust Department of Radiology Leeds UK. Department of Radiology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA USA. Catalan Institute of Oncology Badalona Spain. Consorci MAR Parc de Salut de Barcelona Catalonia Spain. Department of Radiology (IDI

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Recognizing debit card fraud transaction using CHAID and K-nearest neighbor: Indonesian Bank case 11

Recognizing debit card fraud transaction using CHAID and K-n...

引用

11th International Conference on Knowledge, Information and Creativity Support systems, KICSS 2016

作者： Indrajani Heryadi, Yaya Wulandhari, Lili Ayu Abbas, Bahtiar Saleh School of Information System Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Engineering Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781509051304

This paper presents a preliminary study on debit card fraud transaction recognition, whose cards are issued by Indonesian bank, based on actual ATM transaction records. The premise of this research is fraudulent transaction contains 'anomaly' from the pattern of non-fraudulent transactions so that the anomalous pattern can be detected and separated at some point using classification models. Less availability dataset for research, non-stationary distribution of the data, highly imbalanced class distributions, and continuous streams of transactions become the main driven of using CHAID and k-NN classification method. Empiric result using actual debit card transaction using ATM services shows that Accuracy of CHAID model is 0.8 and F = 0.7;and k-NN model (for k=3) is 0.7 and F = 0.6 These results are comparable to previous studies using Hidden Markov Models. © 2016 IEEE.

关键词： Hidden Markov models

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Investigation on Suitability of Pulse Duration Parameter for HeLa Cells Line Proliferation Properties towards Anti-Cancer Application

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Journal of Physics: Conference Series 2018年第1期1019卷

作者： Azra Hazwanie Azizulkarim Muhammad Mahadi Abdul Jamil Mohamad Nazib Adon Muhammad Shukri Ahmad Johan Mohamad Sharif Md Asri Ngadi Radzi Ambar Biomedical Modelling and Simulation (BIOMEMS) Research Group Faculty of Electric and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia Department of Computing Science Faculty of Computing Universiti Teknologi of Malaysia 81310 Skudai Johor Malaysia Embedded Computing System (EmbCoS) Research Group Department of Computer Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Batu Pahat Johor Malaysia

In order to bring up a cells or tissue with a gene or DNA, Electroporation parameter such as pulse duration, field strength and number of pulse plays the most important aspect. Thus, the aim of this paper is to optimize the pulse duration parameter for HeLa cells line. This is very important because nowadays, research on EP factors is still in limited mode. Moreover, suitable and applicable pulse duration parameter would ensure successful treatment with least possible side effect. In this paper, HeLa cells or known as cervical cancer cells was used to induce into a single pulse electric field. Therefore, to achieve the aim of this study, field strength of 500V/cm was preferred and the pulse duration was varied in the range of 100µs, 500µs, 1ms, 2ms and 5ms to obtain lowest proliferation rate and inhibit growth of HeLa cells. The result obtained shows that HeLa cell induced to 500V/cm with pulse duration of 100µs, induced the lowest proliferation rate (45%) as compared to initial reading density (control) after 48 hours of culture. Thus, further research based on this work may pave the way for an anti-cancer application through the study of the effect of pulse duration parameter on HeLa cells.

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