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International Conference on Informatics, engineering, Science and Technology, INCITEST 2018

作者： Ginting, S.L.B. Adler, J. Ginting, Y.R. Kurniadi, A.H. Study Program of Computer System Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 12 Simpang Baru Pekanbaru28293 Indonesia

The purpose of this study is to create an application which functions automatically with high accuracy when analyzing bank customer data. This needed due to non-perforMing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-perforMing loan can be avoided. NBC calculates the probability of one class from each group of attributes and deterMines which class is most optimal. The accuracy of the NBC sampling test from 501 data is 94% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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The Application of Fuzzy Logic Method in the Debtors Eligibility Assessment system of Microfinance Institution

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IOP Conference Series: Materials Science and engineering 2020年第1期879卷

作者： S L B Ginting M R M Rizky Y R Ginting Sutono 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 125 Simpang Baru Pekanbaru 28293 Indonesia.

Decision-making processes in determining loan eligibility are often subjective which leads to imprecise credit predictions. Due to inaccurate inquiry on prospective customers done by field survey officers of Bank Perkreditan Rakyat (BPR) Bandung City, it has experienced credit complications such as bad credits. Therefore, this study aims to help decision-makers in determining creditworthiness and preventing bad credits from occurring. To realize this solution, the study uses the Fuzzy Logic method to calculate the creditworthiness of each prospective loaner based on the inquiries done in the field survey. Fuzzy Logic is known to be a 'counting' methodology with varying words. In addition, it can implement human expertise into machine language with ease and adequately. Based on numerous testing performed, the results demonstrate a level of 90% in accuracy when inputting within the valid ranges of each fuzzy set and membership function. However, the level of accuracy is only based on the clarification result which is determined by a researcher and BPR director, not a general level of accuracy for other microfinance institutions. Nevertheless, the findings of this study prove the method has a high enough accuracy to support decision-makers in determining the loan eligibility of prospective loaners and through this application in the surveying process, survey workers can work more efficiently. Hence, in future has a higher chance of predicting bad credits from potential loaners.

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The Development of Bank Application for Debtors Selection by Using Naïve Bayes Classifier Technique

The Development of Bank Application for Debtors Selection by...

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International Conference on Informatics, engineering, Science and Technology, INCITEST 2018

作者： Ginting, S.L.B. Adler, J. Ginting, Y.R. Kurniadi, A.H. Computer System Study Program Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 12 Simpang Baru 5 Pekanbaru28293 Indonesia

The purpose of this study is to create an application that functions automatically with high accuracy when analyzing bank customer data. This needed due to non-perforMing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-perforMing loan can be avoided. NBC calculates the probability of one class from each group of attributes and deterMines which class is most optimal. The accuracy of the NBC sampling test from 500 data is 95% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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The approximate parallelity of complex fuzzy sets

The approximate parallelity of complex fuzzy sets

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作者： Hu, Bo Bi, Lvqing Dai, Songsong Li, Sizhao School of Mechanical and Electrical Engineering Guizhou Normal University Guiyang China School of Electronics and Communication Engineering Guangxi Colleges Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal University Yulin China School of Information Science and Engineering Xiamen University Xiamen361005 China College of Computer Science and Technology Harbin Engineering University Harbin China

A complex fuzzy set is a set whose membership grades are complex values in the unit circle in the complex plane. This paper introduces the concept of approximate parallelity between complex fuzzy sets based on the phase of complex-valued membership grade. After that, the property of approximate parallelity preserving for complex fuzzy operators and complex fuzzy inference are investigated. © 2018 - IOS Press and the authors. All rights reserved.

关键词： Fuzzy inference

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An Intelligent system for Identifying Feasible Routes for Truck Routing Problem: An Application to a Thai Adhesive and Sealant Company (ATASC)

An Intelligent System for Identifying Feasible Routes for Tr...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Pathawee Phonwiphat Warut Pannakkong Pisal Yenradee Kittipong Ekkachai Atsushi Takahashi Department of School of Information and Communication Technology Thammasat University Klong Luang Pathumthani Thailand Department of School of manufacturing System and Mechanical Engineering Thammasat University Klong Luang Pathumthani Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Klong Luang Pathumthani Thailand Department of School of Engineering Tokyo Institute of Technology Tokyo Japan

This paper proposes an algorithm implemented in a web application to find feasible route for planning in truck transportation. The logistic route planning problem has attracted a lot of effort, however, most of the earlier researches are not be directly applicable to this problem because practical logistic constraints such as the width of the road or height of the tunnel are not considered. Furthermore, drivers' basic needs in taking the time off for relaxation and lunch are involved into the delivery time computation as well. The web application has an ample amount of trials which were compared to a database of transportation in real-time. The results from a case study of Thai Adhesive and Sealant Company show a significant improvement, approximately about thirty-five percent, in forecast preciseness while the mistake rate is dropped. Moreover, this application can be applied to other industries that require feasible trucking logistics planning.

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Erratum to: The formation mechanism of aqueous hydrogen peroxide in a plasma-liquid system with liquid as the anode

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The European Physical Journal D 2020年第7期74卷 1-2页

作者： Lin, Jiao He, Xinyi Chen, Qiang Xiong, Qing Li, Junshuai Wang, Xin Chen, Guolong Liu, Qing Huo Ostrikov, Kostya (Ken) Institute of Electromagnetics and Acoustics Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Department of Electronic Science Xiamen University Xiamen P.R. China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing P.R. China Key Laboratory of Special Function Materials & Structure Design of the Ministry of Education School of Physical Science & Technology Lanzhou University Lanzhou P.R. China Department of Electrical and Computer Engineering Duke University Durham USA Institute for Future Environments and School of Chemistry Physics and Mechanical Engineering Queensland University of Technology Brisbane Australia CSIRO-QUT Joint Sustainable Processes and Devices Laboratory Commonwealth Scientific and Industrial Research Organization Lindfield Australia

We find that we made a mistake in the estimation of the H2O2 concentration by the colorimetric method in our previous paper (J. Lin et al., Eur. Phys. J. D (2020) 74: 80) [1].

关键词： Atomic and Molecular Collisions

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OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

arXiv

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arXiv 2022年

作者： Babier, Aaron Mahmood, Rafid Zhang, Binghao Alves, Victor G.L. Barragán-Montero, Ana Maria Beaudry, Joel Cardenas, Carlos E. Chang, Yankui Chen, Zijie Chun, Jaehee Diaz, Kelly Eraso, Harold David Faustmann, Erik Gaj, Sibaji Gay, Skylar Gronberg, Mary Guo, Bingqi He, Junjun Heilemann, Gerd Hira, Sanchit Huang, Yuliang Ji, Fuxin Jiang, Dashan Giraldo, Jean Carlo Jimenez Lee, Hoyeon Lian, Jun Liu, Shuolin Liu, Keng-Chi Marrugo, José Miki, Kentaro Nakamura, Kunio Netherton, Tucker Nguyen, Dan Nourzadeh, Hamidreza Osman, Alexander F.I. Peng, Zhao Muñoz, José Darío Quinto Ramsl, Christian Rhee, Dong Joo Rodriguez, Juan David Shan, Hongming Siebers, Jeffrey V. Soomro, Mumtaz H. Sun, Kay Hoyos, Andrés Usuga Valderrama, Carlos Verbeek, Rob Wang, Enpei Willems, Siri Wu, Qi Xu, Xuanang Yang, Sen Yuan, Lulin Zhu, Simeng Zimmermann, Lukas Moore, Kevin L. Purdie, Thomas G. McNiven, Andrea L. Chan, Timothy C.Y. Department Of Mechanical And Industrial Engineering University Of Toronto TorontoON Canada Vector Institute TorontoON Canada Department Of Radiation Oncology University Of Virginia Health System CharlottesvilleVA United States Department Of Molecular Imaging Radiation Oncology UCLouvain Louvain-la-Neuve Belgium Department Of Radiation Oncology Memorial Sloan Kettering Cancer Center New YorkNY United States Department Of Radiation Oncology The University Of Alabama At Birmingham BirminghamAL United States Department Of Engineering And Applied Physics University Of Science And Technology Of China Hefei China Shenying Medical Technology Co. Ltd. Guangdong Shenzhen China Department Of Radiation Oncology Yonsei University Seoul Korea Republic of Department Of Physics National University Of Colombia Medellín Colombia Atominstitut Vienna University Of Technology Vienna Austria Department Of Biomedical Engineering Cleveland Clinic ClevelandOH United States Department Of Radiation Physics The University Of Texas MD Anderson Cancer Center HoustonTX United States Department Of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Department Of Radiation Oncology Medical University Of Vienna Vienna Austria Department Of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department Of Radiation Oncology Peking University Cancer Hospital And Institute Beijing China Department Of Electrical Engineering And Automation Anhui University Hefei China Department Of Radiation Oncology Massachusetts General Hospital BostonMA United States Department Of Radiation Oncology University Of North Carolina At Chapel Hill Chapel HillNC United States Department Of Medical Imaging Taiwan AI Labs Taipei Taiwan Department Of Biomedical And Health Sciences Hiroshima University Hiroshima Japan Laboratory Department Of Radiation Oncology The University Of Texas Southwestern Medical Center DallasTX United States Department Of Radiatio

We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients with head-and-neck cancer and high-quality dose predictions from 19 KBP models that were developed by different research groups during the OpenKBP Grand Challenge. The dose predictions were input to four optimization models to form 76 unique KBP pipelines that generated 7600 plans. The predictions and plans were compared to the reference plans via: dose score, which is the average mean absolute voxel-by-voxel difference in dose a model achieved;the deviation in dosevolume histogram (DVH) criterion;and the frequency of clinical planning criteria satisfaction. We also performed a theoretical investigation to justify our dose mimicking models. The range in rank order correlation of the dose score between predictions and their KBP pipelines was 0.50 to 0.62, which indicates that the quality of the predictions is generally positively correlated with the quality of the plans. Additionally, compared to the input predictions, the KBPgenerated plans performed significantly better (P © 2022, CC BY.

关键词： Forecasting

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Intermolecular Interaction and Electric Field Dependence of Reverse Micelle on Water Tree Initiation in Polyethylene

Intermolecular Interaction and Electric Field Dependence of ...

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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： H. Uehara T. Okamoto S. Iwata Y. Sekii T. Takada Y. Cao Dept. of Electrical and Electronic Engineering Kanto Gakuin University Yokohama Kanagawa Japan Research Division of Product Reliability Osaka Research Institute of Industrial Science and Technology Izumi Osaka Japan Sekii PE Laboratory Chiba Chiba Japan Dept. of Mechanical System Engineering Tokyo City University Setagaya Tokyo Japan Dept. of Electrical and Computer Engineering University of Connecticut Storrs CT USA

ISBN: (数字)9781728131214

ISBN: (纸本)9781728131221

It has been experimentally found that when amphiphilic surfactants are added to polyethylene (PE), water tree initiation, especially that of bow-tie trees (BTTs), is suppressed. In this study, we analyze the intermolecular interactions among PE, amphiphilic surfactants, and water molecules by molecular dynamics (MD) simulation and quantum chemical calculation. Moreover, we confirm that the surfactants and water molecules form a reverse micelle, and investigate the effect of the presence or absence of an electric field.

关键词： Surfactants Electric fields Analytical models Carbon Hydrogen Resource description framework Production

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

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High-Density ReRAM Crossbar with Selector Device for Sneak Path Reduction

High-Density ReRAM Crossbar with Selector Device for Sneak P...

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International Conference on Microelectronics, ICM

作者： Khaled Humood Sabina Abdul Hadi Baker Mohammad Maguy Abi Jaoude Anas Alazzam Mohammad Alhawari System on Chip Center (SOCC) Electrical and Computer Engineering (ECE) Khalifa University Abu Dhabi UAE ECE Khalifa University College of Engineering and IT University of Dubai Dubai UAE SOCC ECE Khalifa University Abu Dhabi UAE Khalifa University Abu Dhabi UAE SOCC Mechanical Engineering Khalifa University Abu Dhabi UAE SOCC ECE Khalifa University ECE Wayne State University Detroit USA

ISBN: (数字)9781728140582

ISBN: (纸本)9781728140599

Memristive crossbar arrays are finding application in a wide range of operations such as memory, in-memory-computing, analog computing, etc. The crossbar performance is limited by a sneak path current, which limits the array size and negatively affects power and noise margin. In this paper, we present a synthesis of one selector and one Memristor device (1S1R) unit based on nonlinear resistive selector connected in series with bipolar Memristor (MR) element. The selector provides a gating function to the MR to reduce the sneak path current. The operation and performance of the MR and the selector devices have been verified individually and when serially connected. The MR cell measurements show good repeatability over multiple SET-RESET cycles with Von ~ 2.5 to 3 V, Roff/Ron ~ 10 4 and Voff ~ -0.6 to -1.5 V. The electrical parameters of the memristor cell have been extracted and correlated mathematically using the Voltage-Threshold Adaptive Model (VTEAM). Various array sizes ranging from 2 ×2 to 4,000×4,000 have been investigated using spice circuit simulator. The results show that the proposed configuration reduces the sneak path by 200 times when compared with a similar size array that does not use a selector device. Also, using the selector increases the crossbar read margin, device selectivity, and enables high memory array density up to 4k×\pmb4k compared to 512 x512 state of the art. The device allows relatively low voltage operation of 4V/1V (write/read) compared to 5V/2V reported in literature, which makes it attractive for low power applications.

关键词： computer architecture Microprocessors Resistance Electrodes Memristors Switches Semiconductor device modeling

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