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2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

作者： De Souza, Warley L. De Paula, Hélder De Conti, Alberto Mesquita, Renato C. Graduate Program in Electrical Engineering Federal University of Minas Gerais Av. Antonio Carlos 6627 Belo Horizonte MG31270-901 Brazil Electrical Engineering Department Federal University of Minas Gerais Av. Antonio Carlos 6627 Belo Horizonte MG31270-901 Brazil

ISBN: (纸本)9781509048946

Cable models for high-frequency studies require the calculation of per-unit-length parameters in a wide frequency range. Analytical methods, such as the one implemented in the Line/Cable Constants routine available in the Alternative Transients program (ATP), are frequently used for this purpose. However, they are valid only for specific geometries, in which the cables are sufficiently separated one from another and from other wired systems and metallic structures. All these simplifications hamper the succesful application of the analytical (traditional) in typical industrial installation methods, such as cable systems in trays or pipes. In this context, this paper presents a methodology based on finite element analysis to overcome these limitations. This methodology, which was implemented in the FEMM software (free), was also used to investigate the influence of proximity effects on the parameters associated with three different installation methods often found in industrial facilities: cables above the earth surface, cables in an enclosing pipe and cables in a tray. The results indicate the importance of considering proximity effects in the calculation of cable parameters in practical conditions, especially for high-frequency studies. © 2017 IEEE.

关键词： Finite element method

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The Use of Relations and Functions Games Based on Balanced Design in Mathematics Subjects to Improve Student Learning Outcomes

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Journal of Physics: Conference Series 2019年第1期1175卷 012069-012069页

作者： Diena Rauda Ramdania Harika, Maisevli Rahmadika, Sandi Azmiana, Gina Giftia Informatics Engineering UIN Sunan Gunung Djati Bandung Computer Engineering and Informatics Politeknik Negeri Bandung Interdisciplinary Program of Information Security Graduate School PKNU Pukyong National University Busan South Korea Department of Phyloshopy UIN Sunan Gunung Djati Bandung

Game Relations and Functions are digital game-based learning in junior high school mathematics subjects. In this study will discuss how to use the game Relationships and Functions that have been designed using the Balanced Design method. The research method used was a quasi-experiment with the One group Pretest Post-test design. A total of 40 junior high school students were involved in this study to determine differences in student learning outcomes in the cognitive domain before and after using the Relationship and Function games. The instrument used is a type of multiple choice objective test of 20 questions with details of 8 questions related to relations material and 12 questions related to functions material. The results showed that there were differences in the improvement of student learning outcomes before and after using the game Relations and Functions in Mathematics subjects.

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Artificial Neural Networks Applied in the Solution of the Inverse Kinematics Problem of a 3D Manipulator Arm

Artificial Neural Networks Applied in the Solution of the In...

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International Joint Conference on Neural Networks

作者： Jonatas Favotto Dalmedico Marcio Mendonca Lucas Botoni de Souza Ruan Victor P. Duarte Barros Ivan Rossato Chrun Mechanical Engineering Department (DAMEC) Federal University of Technology - Paraná (UTFPR) Cornélio Procópio Brazil Eletric Engineering Department (DAELE) Federal University of Technology - Paraná (UTFPR) Cornélio Procópio Brazil CPGEI (Graduate School on Electrical and Computer Eng.) Federal University of Technology - Paraná (UTFPR) Curitiba Brazil

This paper approaches the classic problem of robotics' Inverse Kinematics. This problem does not have a trivial solution due its solution complexity, in addition to multiple solutions for the same final position of the robotic actuator. The number of solutions increases with the number of degrees of freedom. In this context, the goal of this paper is to present a solution to this problem through the application of an Artificial Neural Network (ANN) in a robotic arm with 4 degrees of freedom in three dimensions. Initial results with a set of seven points using two different ANN configurations were convincing.

关键词： Manipulators Kinematics Artificial neural networks Robot kinematics Training Three-dimensional displays

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Estimation system of construction equipment from field image by combination learning of its parts

Estimation system of construction equipment from field image...

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Asian Control Conference

作者： Masato Fujitake Takashi Yoshimi Department of Electrical Engineering and Computer Science Graduate School of Engineering and Science Tokyo Japan Department of Electrical Engineering Shibaura Institute of Technology Tokyo Japan

ISBN: (纸本)9781509015740;9781509015733

This paper describes the development of a robust object recognition system which combines object's parts, for automatic construction equipment tracking camera on unmanned construction site. Although a construction equipment operator monitors manually and operates construction equipment through captured surveillance camera video in the worksite of unmanned construction, they need an automatic tracking system for construction equipment in order to work efficiently. Since there is difficulty of automation such as some parts of construction equipment are not captured in the video because of construction works, we have developed a robust system which recognizes construction equipment using combination of their parts. Before we start making whole system, we developed object recognition algorithm for construction equipment. The object: construction equipment, recognition algorithm discussed in this paper is developed based on estimating its type by combining its parts found in an image. This system has three features to realize the process: part extraction step, part recognition step and part combination step. The part extraction step extracts object candidates including parts of construction equipment from an input image. In the part recognition step, they are recognized and labeled. The part combination step combines the labeled data and estimates construction equipment's type using neural networks. Experimental results show that the system which combines parts of construction equipment is able to estimate its type even if some parts of it are hidden. We also describe its improvement in terms of the processing time.

关键词： Image recognition Cameras Training Neural networks Object recognition Robustness Surveillance

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A study on anomaly prediction method of machine tools — Feature extraction for anomaly prediction

A study on anomaly prediction method of machine tools — Fea...

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Asian Control Conference

作者： Ryo Fujita Takashi Yoshimi Department of Electrical Engineering and Computer Science Graduate School of Engineering and Science Tokyo Japan Department of Electrical Engineering Shibaura Institute of Technology Tokyo Japan

ISBN: (纸本)9781509015740;9781509015733

This research aims to develop an anomaly prediction method only based on sensor data acquired from machine tools. In order to realize this aim, first of all, it is necessary to extract the feature to classify whether the machine tool is in an anomalous state or normal state. This paper shows the result of examining the feature extraction method of machine tool applying distribution and chaos theory to acquired sensor data. In the distribution method, an anomalous state and a normal state are compared by creating a frequency distribution diagram using the heat map. In chaos theory, the anomalous state and the normal state are compared by reconstructing attractors using Takens' embedding theorem. In addition, quantitative evaluation using topological geometry to the anomaly prediction of machine tools is considered and its result is shown. Both methods, the distribution and chaos theory, were confirmed their features for classifying the normal state and the anomalous state. And, we also confirmed the effectiveness of the quantitative analysis of the reconstructed attractors by using the method of topological geometry.

关键词： Feature extraction Injection molding Maintenance engineering Machine tools Mechanical products Fluctuations Time series analysis

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Application of Message Security Application Using Vigenere Cipher Algorithm Utilizing One Time Pad (OTP) Algorithm as a Key Generator

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Journal of Physics: Conference Series 2019年第1期1363卷 012080-012080页

作者： Pardede, A M H Lorena Perbina Br Sitepu Zarlis, Muhammad Tulus Iskandar, Akbar Sriadhi, S Manurung, Rosida Tiurma Nurintan Asyiah Siregar Sari, Ayu Esteka Yunawati, Sri Mursyidah, M Mursalin, M Kurniasih, Nuning Kurniawan, Citra Winarno, Edy STMIK Kaputama Binjai Sumatera Utara Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Program Study of Accounting Pasir Pengaraian University Riau Indonesia Departement of Information Technology and Computer Politeknik Negeri Lhokseumawe Aceh Indonesia Department of Mathematics Education Universitas Malikussaleh Aceh Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Electrical Engineering Sekolah Tinggi Teknik Malang Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia

Cryptography is the science and art of maintaining the security of messages when messages are sent from one place to another. One of the ways securing the form of text message information is by the encryption process using the Vigenere Cipher algorithm and utilizing the One Time Pad (OTP) algorithm as a key generator, where the message will be random when it is opened. The message encryption process used the vigenere cipher algorithm while OTP is used to secure the key with the same formula. After this research has been done, an application was designed to secure text messages by converting the text message into a random message so that the message was unreadable due to a secret message that could not be known by others. The results achieved can secure an encrypted message that cannot be reopened and if those messages were reopened, they must be decrypted.

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Development Module (Lab Report) As a Media of Learning in Vocational Education Viewed by Gender

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IOP Conference Series: Materials Science and engineering 2018年第1期336卷

作者： Supari Muslim Bambang Suprianto Nahindi Putra Gitama Department of Electrical Engineering Universitas Negeri Surabaya Graduate Program Universitas negeri Surabaya

Module as a media of learning and training, which especially the students studying in institutions offering education at undergraduate and associate levels can employ as a PLC (programmable Logic Controller) controlled simulator of the logic gate, timer and counter. During industrial manufacturing processes, has been actualized through this work, for the purpose of training qualified technical personnel needed by companies, who are specialized in control and electro mechanics. It was found that, students are very happy learning to use the module so with very significant contributes to a large extent to the training process in favor of faculty members, who are to train personnel for the sector, and in favor of students, who should be able to acquire proper education. Working on the training tool allows students to acquire knowledge and practical skills and then make use of those skills for troubleshooting and control of machinery.

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Spin absorption by in situ deposited nanoscale magnets on graphene spin valves

arXiv

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arXiv 2018年

作者： Amamou, Walid Stecklein, Gordon Koester, Steven J. Crowell, Paul A. Kawakami, Roland K. Program of Materials Science and Engineering University of California RiversideCA92521 United States School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Department of Physics Ohio State University ColumbusOH43210 United States

An in situ measurement of spin transport in a graphene nonlocal spin valve is used to quantify the spin current absorbed by a small (250 nm × 750 nm) metallic island. The experiment allows for successive depositions of either Fe or Cu without breaking vacuum, so that the thickness of the island is the only parameter that is varied. Furthermore, by measuring the effect of the island using separate contacts for injection and detection, we isolate the effect of spin absorption from any change in the spin injection and detection mechanisms. As inferred from the thickness dependence, the effective spin current je= 2e/h jsabsorbed by Fe is as large as 108A/m2. The maximum value of jeis limited by the resistance-area product of the graphene/Fe interface, which is as small as 3 Ωμm2. The spin current absorbed by the same thickness of Cu is smaller than for Fe, as expected given the longer spin diffusion length and larger spin resistance of Cu compared to Fe. These results allow for a quantitative assessment of the prospects for achieving spin transfer torque switching of a nanomagnet using a graphene-based nonlocal spin valve. Copyright © 2018, The Authors. All rights reserved.

关键词： Graphene

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An analysis of CGM contents pageview using SIR model and GBM 17

An analysis of CGM contents pageview using SIR model and GBM

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2017 International Conference on Compute and Data Analysis, ICCDA 2017

作者： Noguchi, Kazuhisa Iida, Tomoya Ito, Eisuke Graduate School of Integrated Frontier Sciences Kyushu University Fukuoka Japan Department of Electrical Engineering and Computer Science Kyushu University Fukuoka Japan Research Institute for Information Technology Kyushu University Fukuoka Japan

ISBN: (纸本)9781450352413

In consumer generated media (CGM) site, such as YouTube and nicovideo, only few contents are viewed very much, but most contents are only viewed few times. Our research target CGM sites are *** and ***. *** is a popular movie CGM site in Japan and *** is the largest novel CGM site in Japan. We already found that pageview distribution of contents in both CGM sites follow a lognormal distribution. In this paper, we consider user's content selection model which will lead lognormal distribution. We apply Geometric Brownian Motion model into SIR model. SIR model is used for simulation of population transition process or epidemic process of infection disease. In this paper, we report the results of some simulation. © 2017 Association for Computing Machinery.

关键词： Stochastic systems

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Predictable and precise template-free CRISPR editing of pathogenic variants (vol 563, pg 646, 2018)

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NATURE 2019年第7746期567卷 E1-E2页

作者： Shen, Max W. Arbab, Mandana Hsu, Jonathan Y. Worstell, Daniel Culbertson, Sannie J. Krabbe, Olga Cassa, Christopher A. Liu, David R. Gifford, David K. Sherwood, Richard I. Computational and Systems Biology Program Massachusetts Institute of Technology Cambridge USA Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge USA Merkin Institute of Transformative Technologies in Healthcare Broad Institute of Harvard and MIT Cambridge USA Department of Chemistry and Chemical Biology Harvard University Cambridge USA Howard Hughes Medical Institute Harvard University Cambridge USA Department of Biological Engineering Massachusetts Institute of Technology Cambridge USA Molecular Pathology Unit Center for Cancer Research and Center for Computational and Integrative Biology Massachusetts General Hospital Charlestown USA Division of Genetics Department of Medicine Brigham and Women’s Hospital and Harvard Medical School Boston USA Hubrecht Institute for Developmental Biology and Stem Cell Research Royal Netherlands Academy of Arts and Sciences (KNAW) Utrecht The Netherlands Broad Institute of MIT and Harvard Cambridge USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge USA

In this Article, a data processing error affected Fig. 3e and Extended Data Table 2; these errors have been corrected online.

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