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arXiv 2024年

作者： Evans, Matthew L. Bergsma, Johan Merkys, Andrius Andersen, Casper W. Andersson, Oskar B. Beltrán, Daniel Blokhin, Evgeny Boland, Tara M. Balderas, Rubén Castañeda Choudhary, Kamal Díaz, Alberto Díaz García, Rodrigo Domínguez Eckert, Hagen Eimre, Kristjan Montero, María Elena Fuentes Krajewski, Adam M. Mortensen, Jens Jørgen Duarte, José Manuel Nápoles Pietryga, Jacob Qi, Ji de Jesús Trejo Carrillo, Felipe Vaitkus, Antanas Yu, Jusong Zettel, Adam de Castro, Pedro Baptista Carlsson, Johan Cerqueira, Tiago F.T. Divilov, Simon Hajiyani, Hamidreza Hanke, Felix Jose, Kevin Oses, Corey Riebesell, Janosh Schmidt, Jonathan Winston, Donald Xie, Christen Yang, Xiaoyu Bonella, Sara Botti, Silvana Curtarolo, Stefano Draxl, Claudia Cobas, Luis Edmundo Fuentes Hospital, Adam Liu, Zi-Kui Marques, Miguel A.L. Marzari, Nicola Morris, Andrew J. Ong, Shyue Ping Orozco, Modesto Persson, Kristin A. Thygesen, Kristian S. Wolverton, Chris Scheidgen, Markus Toher, Cormac Conduit, Gareth J. Pizzi, Giovanni Gražulis, Saulius Rignanese, Gian-Marco Armiento, Rickard Chemin des Étoiles 8 Louvain-la-Neuve1348 Belgium Matgenix SRL 185 Rue Armand Bury Gozée6534 Belgium École Polytechnique Fédérale de Lausanne Avenue de Forel 3 Lausanne1015 Switzerland Institute of Biotechnology Life Sciences Center Vilnius University Sauletekio av. 7 VilniusLT-10257 Lithuania SINTEF P.O. Box 4760 Torgarden TrondheimNO-7465 Norway Materials Design and Informatics unit Department of Physics Chemistry and Biology Linköping University Sweden Baldiri i Reixac 10-12 Barcelona08028 Spain Tilde Materials Informatics Straßmannstraße 25 Berlin10249 Germany Materials Platform for Data Science Sepapaja 6 Tallinn15551 Estonia Computational Atomic-Scale Materials Design Technical University of Denmark Kgs. Lyngby Denmark Av. Miguel de Cervantes 120 Complejo Industrial Chihuahua Chihuahua Chih. 31136 Mexico Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Center for Extreme Materials Duke University DurhamNC27708 United States École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Universidad Autónoma de Chihuahua Facultad de Ciencias Quimicas Chihuahua31125 Mexico Department of Materials Science and Engineering The Pennsylvania State University University ParkPA16802 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of NanoEngineering University of California 9500 Gilman Drive La Jolla San DiegoCA92093-0448 United States National Institute for Materials Science 1-2-1 Sengen Ibaraki Tsukuba305-0047 Japan Dassault Systèmes Germany GmbH Am Kabellager 11-13 Cologne51063 Germany CFisUC Department of Physics University of Coimbra Rua Larga Coimbra3004-516 Portugal Dassault Systèmes 22 Science Park CB4 0FJ United Kingdom Theory of Condensed Matter Cavendis

The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical data. Since the first release of the OPTIMADE specification (v1.0), the API has undergone significant development, leading to the v1.2 release, and has underpinned multiple scientific studies. In this work, we highlight the latest features of the API format, accompanying software tools, and provide an update on the implementation of OPTIMADE in contributing materials databases. We end by providing several use cases that demonstrate the utility of the OPTIMADE API in materials research that continue to drive its ongoing development. © 2024, CC BY.

关键词： Electronic data interchange

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The adoption of IoT technology in the Malaysian manufacturing industry

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AIP Conference Proceedings 2021年第1期2355卷

作者： Toong Hai Sam Whee Yen Wong Zainab Lawan Gwadabe Rajani Balakrishnan Ravindra Poopalaselvam Anbia Adam Kian Sek Tee 1Faculty of Business Communications and Law (FOBCAL) INTI International University Persiaran Perdana BBN Putra Nilai Nilai Negeri Sembilan 71800 MALAYSIA 2Department of Internet Engineering & Computer Science LKC Universiti Tunku Abdul Rahman Faculty of Engineering and Science Jalan Sungai Long Bandar Sungai Long 43000 Kajang Selangor MALAYSIA 3Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor 86400 MALAYSIA 4Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor 86400 MALAYSIA

For the global market to achieve a competitive advantage, the companies in the manufacturing industries are working tirelessly to develop new products and services to meet the people’s demands. As a result, manufacturing companies worldwide are using highly advanced technologies to increase efficiency and effectiveness. Even though these high-end technologies are used in factories, they are not as closely integrated as they should be. This paper aims to review the impact of the Internet of Things (IoT) adoption in Malaysia’s manufacturing industry. The study conducted a rigorous review of the literature on (IoT) in the manufacturing industry. The paper reveals that there is a wide coverage and usage of IoT in the manufacturing industries even though the integration of IoT is at a very early stage. Therefore, the study recommended developing good infrastructures and strategies that will support the use of IoT. This will improve the efficiency and effectiveness of this highly relevant and essential sector.

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Prototype Design of Playback and Search System for Lecture Video Content using Google Cloud API

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Procedia computer science 2019年 159卷 1517-1526页

作者： Yoshimasa Ohnishi Shin’nosuke Yamaguchi Yoshiki Shimoikura Kazunori Nishino Hideki Kondo Akihiro Hayashi Kyushu Institute of Technology Learning and Teaching Center 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Kyushu Institute of Technology Institute of Liberal Arts 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan

Recently, it has become possible to easily use video teaching materials in lectures and exercises using high-performance information terminals. In this study, we design and develop playback functions for lecture videos as learning support using a learning management system. The main feature of the proposed system generates keywords from handwritten characters and lecture speech so that learners can search for playback positions related to keywords. Additionally, it becomes possible to create a highly maintainable system in a short development period using speech recognition and still-image recognition functions available on the internet. In this paper, we describe our prototype implementation and present the results of our initial evaluation. The results demonstrate that, regarding the playback of a lecture video, it is possible to use the keyword search function 20–40 min after the lecture video is released. Moreover, we implemented a playback system using a block function on Moodle so that other teaching material in the course could be viewed simultaneously.

关键词： keyword search handwritten characters lecture video internet service Moodle

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Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix

arXiv

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arXiv 2020年

作者： Xu, Kaijie Pedrycz, Witold Li, Zhiwu Xing, Mengdao School of Electro-Mechanical Engineering Xidian University Xi’an710071 China Department of remote sensing science and technology School of Electronic Engineering Xidian University Xi’an710071 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Systems Research Institute Polish Academy of Sciences Warsaw Poland Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Institute of Systems Engineering Macau University of Science and Technology Macau999078 China National Laboratory of Radar Signal Processing Xidian University Xi’an710071 China Collaborative Innovation Center of Information Sensing and Understanding Xidian University Xi’an710071 China National Key Laboratory of Microwave Imaging Technology Institute of Electronics Chinese Academy of Sciences Beijing100190 China

As an important technology in artificial intelligence Granular Computing (GrC) has emerged as a new multi-disciplinary paradigm and received much attention in recent years. Information granules forming an abstract and efficient characterization of large volumes of numeric data have been considered as the fundamental constructs of GrC. By generating centroids (prototypes) and partition matrix, fuzzy clustering is a commonly encountered way of information granulation. As a reverse process of granulation, degranulation involves data reconstruction completed on a basis of the granular representatives (decoding information granules into numeric data). Previous studies have shown that there is a relationship between the reconstruction error and the performance of the granulation process. Typically, the lower the degranulation error is, the better performance of granulation process becomes. However, the existing methods of degranulation usually cannot restore the original numeric data, which is one of the important reasons behind the occurrence of the reconstruction error. To enhance the quality of reconstruction (degranulation), in this study, we develop an augmented scheme through modifying the partition matrix. By proposing the augmented scheme, we dwell on a novel collection of granulation-degranulation mechanisms. In the constructed approach, the prototypes can be expressed as the product of the dataset matrix and the partition matrix. Then, in the degranulation process, the reconstructed numeric data can be decomposed into the product of the partition matrix and the matrix of prototypes. Both the granulation and degranulation are regarded as generalized rotation between the data subspace and the prototype subspace with the partition matrix and the fuzzification factor. By modifying the partition matrix, the new partition matrix is constructed through a series of matrix operations. We offer a thorough analysis of the developed scheme. Copyright © 2020, The Authors. Al

关键词： Granulation

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Estimation of Machine Parameters in Superconducting Transformer using Differential Evolution

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Journal of Physics: Conference Series 2020年第1期1590卷

作者： T Yonenaka T Muraoka Y Ichiki E S Otabe Y Tokunaga Department of Computer Science and Electronics Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Faculty of Computer Science and Systems Engineering Okayama Prefectural University 111 Kuboki Soja Okayama 719-1197 Japan

To analyze the inrush current in a superconducting transformer, the machine parameters for the transformer were estimated from the measured current using a search algorithm. To address the large rising edge error in estimations performed using a genetic algorithm (GA), a differential evolution (DE) was used in this study. As a result, the estimated time was reduced to about 1/10 that obtained with GA, and the evaluation value indicating the difference between the measured value and the estimated value was reduced to about 1/2. Thus, it was possible to estimate with higher accuracy by using DE.

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Modal Analysis of photonic and plasmonic resonatorsA

arXiv

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arXiv 2019年

作者： Zimmerling, Jörn Remis, Rob Circuits and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Department of Mathematics University of Michigan 530 Church Street Ann ArborMI48109-1043 United States

Quasi-normal modes (QNMs) are ubiquitous throughout photonics and are utilized in a wide variety of applications, but determining these modes remains a formidable task in general. Here we show that by exploiting the structure of Maxwell’s equations it is possible to effectively compute QNMs of photonic and plasmonic nanoresonators. The symmetry of Maxwell’s equations allows for a reduction to a system of small order via a Lanczos reduction process through which dominant QNMs can be identified. A closed-form reduced-order model for the spontaneous decay (SD) rate of a quantum emitter is also obtained, which does not require an a priori QNM expansion of the fields. The model is parametric in wavelength and field expansions in dominant QNMs are determined a posteriori. We demonstrate and validate that QNMs of open resonators and the SD rate of a quantum emitter are accurately predicted. Copyright © 2019, The Authors. All rights reserved.

关键词： Plasmonics

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A New THL model for high accuracy of predicted journal surface temperature

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Toraibarojisuto/Journal of Japanese Society of Tribologists 2018年第5期63卷 360-367页

作者： Hatakenaka, Kiyoshi Baba, Yoshitaka Kämeyama, Yuki Department of Mechanical Information Science and Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-shi Fukuoka820-8502 Japan Technical Development Department Development Center Machinery Business KOBE STEEL Ltd. 3-1 Shinhama 2-chome Arai-cho Takasago-shi Hyogo676-8670 Japan

A thermo-hydrodynamic lubrication (THL) theory is applied to journal bearings that support large-sized high-speed rotary machineries and it is confirmed that the maximum pad surface temperature under operation is below an allowable limit value. The temperature predicted by the traditional THL model is in good agreement with the measurement. However, the predicted journal surface temperature is not comparable with the measurement. In the present paper, it is firstly shown that the amount of heat, which is generated by the shear flow in the oil film and is discharged out of the film, is evaluated appropriately in the film near the pad surface while it is evaluated excessively in the film near the journal surface. Secondly, a new THL model is proposed that the oil film temperature near the pad surface and the temperature near the journal surface are obtained independently, that is, the conventional energy equation for the oil film is solved for the former temperature while the equation described in the relative coordinate system with the journal surface as the reference one is used for the latter temperature. Lastly, it is shown that the THL model can predict the journal surface temperature comparable with the measurement without deteriorating the accuracy of the predicted maximum pad surface temperature. © 2018 Japanese Society of Tribologists. All rights reserved.

关键词： Surface temperature

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Formaldehyde sensing using micro-loop resonator

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AIP Conference Proceedings 2020年第1期2314卷

作者： Mohd Hafiz Jali Hazli Rafis Abdul Rahim Sana Sulaiman Hamid Md Ashadi Md Johari Haziezol Helmi Mohd Yusof Sulaiman Wadi Harun M. Khasanah M. Yasin 1Department of Electrical Engineering Faculty of Engineering University of Malaya 50603 Kuala Lumpur Malaysia 2Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka 76100 Melaka Malaysia 3Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka 76100 Melaka Malaysia 4Faculty of Engineering Technology Universiti Teknikal Malaysia Melaka 76100 Melaka Malaysia 5Department of Chemistry Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia 6Department of Physics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia

Formaldehyde (CH2O) liquid sensor has been successfully fabricated using micro-loop resonator (MLR) based on whispering gallery mode (WGM) concept. An excellent sensing response towards formaldehyde liquid concentrations level ranging from 0% to 5% was observed. It is because of the changeable effective index and surface absorption phenomenon which lead to different light characteristic inside the MLR. The output power reduced linearly from -18.9 dBm to -*** as the concentration increases. The sensitivity obtained was 3.6561 dBm/% with linearity of 99.1% and resolution of 0.0207%. The proposed sensor has simplicity, easy fabrication, better resolution and low cost. This application is essential in monitoring toxic gases and human health.

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Micro tool diameter monitoring by means of laser diffraction for on-machine measurement

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International Journal of Automation Technology 2017年第5期11卷 736-741页

作者： Khajornrungruang, Panart Kimura, Keiichi Suzuki, Keisuke Inoue, Tomoki Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-shi Fukuoka820-8502 Japan School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka820-8502 Japan

This study proposes a non-contact measurement method for evaluating a micro cutting tool diameter at a sub-micrometer precision in atmospheric environment. Practically, non-contact tool measurements are widely used in optical measurement methods. However, the generally used geometrical optical measurement methods do fundamentally not have submicrometer precision due to well-known light diffraction phenomenon, notably when measuring a micro tool. We have been proposing and developing a measurement method especially for the micro tool utilizing laser diffraction. In this study, we subtracted a transparent light component from a laser light distribution diffracted by the micro tool to be measured to enhance diffraction pattern characteristics. Consequently, micro rods having diameters of 15, 20, and 30 µm could be precisely measured. Furthermore, in order to verify themethod validity, a two-helical-fluted micro tool (20 micrometer in diameter) was also measured while rotating (4 min-1) with less than 400 nm difference compared to images from a scanning electron microscopy (SEM) image. Finally, a trial to measure a micro drill diameter was also carried out during high-speed tool rotation (136,800 min-1) with our developed apparatus that is enough compact to be installed to machine tools, in order to perform the measurement in real rotation without stopping the tool rotation. © 2017, Fuji Technology Press. All rights reserved.

关键词： Cutting tools

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The learning of fuzzy cognitive maps with noisy data: A rapid and robust learning method with maximum entropy

arXiv

引用

arXiv 2019年

作者： Feng, Guoliang Lu, Wei Pedrycz, Witold Yang, Jianhua Liu, Xiaodong School of Control Science and Engineering Dalian University of Technology Dalian116023 China School of Automation Engineering Northeast Electric Power University Jilin132012 China School of Control Science and Engineering Dalian University of Technology Dalian116023 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia

Numerous learning methods for fuzzy cognitive maps (FCMs), such as the Hebbian-based and the population-based learning methods, have been developed for modeling and simulating dynamic systems. However, these methods are faced with several obvious limitations. Most of these models are extremely time consuming when learning the large-scale FCMs with hundreds of nodes. Furthermore, the FCMs learned by those algorithms lack robustness when the experimental data contain noise. In addition, reasonable distribution of the weights is rarely considered in these algorithms, which could result in the reduction of the performance of the resulting FCM. In this article, a straightforward, rapid, and robust learning method is proposed to learn FCMs from noisy data, especially, to learn large-scale FCMs. The crux of the proposed algorithm is to equivalently transform the learning problem of FCMs to a classic-constrained convex optimization problem in which the least-squares term ensures the robustness of the well-learned FCM and the maximum entropy term regularizes the distribution of the weights of the well-learned FCM. A series of experiments covering two frequently used activation functions (the sigmoid and hyperbolic tangent functions) are performed on both synthetic datasets with noise and real-world datasets. The experimental results show that the proposed method is rapid and robust against data containing noise and that the well-learned weights have better distribution. In addition, the FCMs learned by the proposed method also exhibit superior performance in comparison with the existing methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Fuzzy rules

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