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International Conference on Electrical and electronics engineering, ELECO

作者： Burak Makav Volkan Kılıç Electrical and Electronics Engineering Graduate Program Izmir Katip Celebi University Izmir Turkey

Automatic caption generation in natural language to describe the visual content of an image has attracted an increasing amount of attention in the last decade due to its potential applications. It is a challenging task to generate captions with proper linguistics properties as it requires an advanced level of image understanding that goes far beyond image classification and object detection. In this paper, we propose to use the Stanford CoreNLP model to generate a caption after images are trained using VGG16 deep learning architecture. The visual attributes of images are extracted with the VGG16, which conveys richer content, and then they are fed into the Stanford model for caption generation. Experimental results on the MSCOCO dataset show that the proposed model significantly outperforms the state-of-the-art approaches consistently across different evaluation metrics.

关键词： Hidden Markov models Measurement Visualization Deep learning Object oriented modeling Computer architecture Sports

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A Study on Phase Shift Keying on 2-Sphere

A Study on Phase Shift Keying on 2-Sphere

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International Symposium on Computing and Networking Workshops (CANDARW)

作者： Sho Kakuwa Masahiro Fujii Graduate Program in Information Electrical and Electronics Systems Engineering Utsunomiya University Utsunomiya JAPAN

In this paper, we propose new modulation schemes to achieve high transmit energy efficiency. Although one of them has a cube shape on a 2-sphere and is equivalent to the conventional QPSK, the others whose symbol constellations are its twisted and crushed shapes can outperform QPSK. In comparison with QPSK, the proposed signal designs can reduce the required E b /N 0 by more than 0.25 dB at 10 -7 of the BER because it is possible to extend the minimum distance.

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Planning Optimization Platform for Cluster Type Micro-grid Installations and Operations

Planning Optimization Platform for Cluster Type Micro-grid I...

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2019 IEEE Sustainable Power and Energy Conference, iSPEC 2019

作者： Iwamura, Kazuaki Nakanishi, Yosuke Lewlomphaisarl, Udom Estoperez, Noel Lomi, Abraham Waseda University Graduate School of Environment and Energy Engineering Tokyo Japan National Electronics and Computer Technology Center Advanced Automation and Electronics Research Unit Bangkok Thailand Mindanao State University Illigan Institute of Technology Iligan City Philippines National Institute of Technology Renewable Energy Research Center and Graduate Program Malang Malang Indonesia

ISBN: (纸本)9781728149301

This paper proposes an architecture for a planning optimization platform called the Grid of Grids Optimal Designer (GGOD) to facilitate the optimization of cluster type micro-grid installation and operation. Micro-grid clusters are groups of micro-grids with renewable energy that operate autonomously without power supply from main grids. The GGOD simulates micro-grid optimizations based on a service-oriented architecture and comprises three layers, i.e., end user, service broker, and service supply layers. The enduser layer corresponds to the client system, and the GGOD corresponds to the service broker and service supply layers. The service broker layer is for service management, and the service supply layer comprises various optimization components. Combinable optimization components are activated based on request text in extensible markup language format from end users. By combining optimization components, different optimizations are executed for a single request, the results of the same type of optimization methods are compared, and sudden operation environment changes are considered. Geospatial integrated resource planning and micro-grid facility planning are demonstrated as examples of GGOD applications. © 2019 IEEE.

关键词： Simulation platform

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Structural, Electronic, Optical, and Potassium Anodic Electrochemical Characteristics of 2-Dimensional Silicane: A Density Functional Theory Investigation

SSRN

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SSRN 2022年

作者： Peng, Qiong Rehman, Javed Aziz, Saadullah G. Laref, Amel Albaqami, Munirah D. Alotabi, Reham Ghazi Dinh, Van An Shibl, Mohamed F. Institution of Condensed Physics College of Physics and Electronics Engineering Hengyang Normal University Hengyang421002 China Department of Physics National University of Defense Technology Hunan Changsha410073 China Baluchistan Quetta87300 Pakistan Chemistry Department Faculty of Science King Abdulaziz University Jeddah21589 Saudi Arabia Department of Physics and Astronomy College of Science King Saud University Riyadh11451 Saudi Arabia Chemistry Department College of Science King Saud University Riyadh11451 Saudi Arabia Department of Precision Engineering Graduate School of Engineering Osaka University 2-1 Yamadaoka Osaka Suita565-0871 Japan Renewable Energy Program Center for Sustainable Development College of Arts and Sciences Qatar University Doha2713 Qatar

Two-dimensional (2D) graphene-like materials have attracted tremendous interest due to their remarkable properties in nanoelectronics. To understand and characterize the various physical properties of silicane relevant to optoelectronic and battery applications, various characteristics of 2D silicane Si2H2 are investigated using the density-functional theory. It is disclosed that the structure of 2D Si2H2 is stable, which corroborates its experimental feasibility based on the computational outcomes. With absorption coefficients of about 73.08 (104/cm) and 158.86 (104/cm) at 7.63 eV and 7.66 eV, respectively, it is pertinent to optoelectronic devices. 2D silicane is an exemplary K anodic material, owing to its lesser average open-circuit voltage (OCV) (0.23) and superior theoretical capacity (506 mAhg-1). Afterward, we procured the lowest activation barrier (40 meV) for K migration, which implies the swift charge/discharge mechanism for potassium ion batteries (PIBs). These concomitant findings reinforce the pertinence of silicane material in solar and K anodic utilizations. © 2022, The Authors. All rights reserved.

关键词： Open circuit voltage

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Data analysis and data warehouse design based on Pentaho data integration (kettle) to support the determination of student learning achievement

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IOP Conference Series: Materials Science and engineering 2021年第5期1098卷

作者： A D Barahama R Wardani Electronics and Informatics Engineering Education Post-Graduate Program Yogyakarta State University Jalan Colombo 01 Daerah Istimewa Yogyakarta 55281 Indonesia

Data analysis has become a vital requirement in various fields. The results of data analysis can be used as a data warehouse design that is expected to help in solving problems, evaluating learning outcomes and supporting decision making. In the field of education, student achievement is a reference for achieving quality learning. This success can be seen from the achievement of student learning completeness that is the basis for evaluating and making decisions. The data warehouse design can be used as a basis in knowing student learning progress that can be seen from the value obtained. The diversity of data makes managing values difficult and delayed, data warehouse design using Pentaho can help and simplify data integration. The results of the analysis and design of the data warehouse will be presented in a multidimensional form that can be seen through dimension tables and fact tables.

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Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives

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Decision Analytics Journal 2023年 8卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar de Francisco, Antonio Carlos Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão 85602-863 Paraná Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa 84017-220 Paraná Brazil

Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and Cluster Analysis (CA) are techniques widely used to help decision-makers determine the solution to problems with multiple and often conflicting criteria. This study presents a comprehensive review of the literature on the DEA, MCDA, and CA models to identify existing and potential applications and future development trends. To this end, the Methodi Ordinatio was applied to determine which publications have the greatest impact, considering articles in three databases: Scopus, ScienceDirect, and Web of Science. We pair the techniques two by two since no results were found to integrate the three techniques. The results point to a portfolio with 490 articles, in which approximately 43.87% of the articles combine DEA and MCDA techniques for solving efficiency and productivity analysis problems. © 2023 The Author(s)

关键词： Cluster analysis Combined decision techniques Data envelopment analysis Literature review Methodi ordinatio Multi-criteria decision making

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A systematic review of the literature on video assistant referees in soccer: Challenges and opportunities in sports analytics

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Decision Analytics Journal 2023年 7卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Trojan, Flavio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Francisco Beltrão Paraná 85602-863 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil Post-graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Ponta Grossa Paraná 84017-220 Brazil

Refereeing in sports is about fairness. The referee's job is to balance what the player with the ball thinks is fair with what the player trying to take the ball thinks is fair. Referees are judges on those two opposite opinions. Football (soccer) has massive global appeal and fan interest. Some football championships now use Video Assistant Referees (VAR) to help the referees make correct decisions. This study reviews the literature on VAR in football using the Methodi Ordinatio. Methodi Ordinatio is a methodology used to select and rank relevant scientific papers combining the impact factor, number of citations, and year of publication. We present a case study about the distance the VAR officials cover in the main Brazilian football championship (Brazilian Serie A). This study adopts the p-medians method to analyse the impact of opening VAR operation rooms in the distance covered by the professionals travelling to officiate matches. The locations of VAR operation rooms were obtained, and applying these locations in the first ten rounds of the Brazilian Serie A season 2021 would possibly reduce about 70% of the distance covered by the VAR officials travelling compared to the total distance performed. © 2023 The Author(s)

关键词： Decision-aid technology Distance minimization Methodi ordinatio p-medians Soccer Sports analytics Video assistant referee

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Utilization Extract, Transform, Load For Developing Data Warehouse In Education Using Pentaho Data Integration

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Journal of Physics: Conference Series 2021年第1期2111卷

作者： A D Barahama R Wardani Department of Electronics and Informatics Engineering Education Post-Graduate Program Universitas Negeri Yogyakarta Jalan Colombo 01 Daerah Istimewa Yogyakarta 55281 Indonesia

The utilization of data warehouses in various fields is an absolute necessity. A data warehouse is a database that contains large amounts of data that aims to help organizations, fields, and institutions specifically for decision making. Data warehouses can produce important information in the future. Loading data from various sources and processed through an ETL (Extract, Transform, Load) process that displays data consistently is the basis for creating a data warehouse architecture. The development of a data warehouse in education will provide significant benefits for the progress of education. Integration of data and processing results stored in the data warehouse can be the basis for evaluating better planning. Development of data warehouse adopt the multidimensional modelling method which consists of four stages: select the business process, declare the grain, select dimensions, and identify facts. This stage produces a data warehouse architecture and influences and contributes to the advanced information technology in education.

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MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs

A I I E Transactions

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A I I E Transactions 2024年第10期56卷

作者： Hojin Cho Kyeongbin Kim Kihyuk Yoon Jaewook Chun Jaeyong Kim Kyeongmin Lee Junghye Lee Chiehyeon Lim a Department of Industrial Engineering Ulsan National Institute of Science and Technology Ulsan Republic of Korea b LG Electronics Seoul Republic of Korea c SK Enmove Ulsan Republic of Korea d Technology Management Economics and Policy Program Seoul National University Seoul Republic of Korea a Department of Industrial Engineering Ulsan National Institute of Science and Technology Ulsan Republic of Koreae Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology Ulsan Republic of Korea

Machine learning models that are used for the prediction and control of production can improve quality and yield. However, developing models that are highly accurate and reflective of real-world processes is challenging. We propose a feedforward neural network model specifically designed for continuous Multistage Manufacturing Processes (MMPs) without intermediate outputs. This model, which is termed “MMP Net,” can accurately represent the control mechanism of continuous MMPs. Whereas existing studies on learning MMPs assume an intermediate output data, the MMP Net does not require such an unrealistic assumption. We use the MMP Net to develop prediction models for the lubricant base oil production process of a world-leading lubricant manufacturer. Evaluation results show that the MMP Net is superior to other deep neural network and machine learning models. Consequently, the MMP Net was actually implemented in a real factory in 2022 and is expected to save 900,000 dollars per year for each production line. We believe that our work can serve as a basis to develop customized machine learning solutions for improving continuous MMPs.

关键词： Multistage manufacturing process neural network petrochemical manufacturing system quality prediction real-world application

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An integrated data envelopment analysis framework for operational efficiency assessment in Brazilian international airports

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Decision Analytics Journal 2024年 12卷

作者： de Oliveira, Maiquiel Schmidt Steffen, Vilmar Krukoski, Franklin Angelo Mezoni, Maressa Fontana Trojan, Flávio Academic Department of Physics Statistics and Mathematics (DAFEM) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil Post-Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil Academic Departments of Engineering (DAENG) Federal University of Technology - Parana (UTFPR) Rua Gelindo João Folador 2000 Paraná Francisco Beltrão 85602-863 Brazil State University of Western Parana (UNIOESTE) Rua Maringá 1200 Francisco Beltrão 85605-010 Brazil Academic Department of Electronics (DAELE) Federal University of Technology - Parana (UTFPR) Rua Doutor Washington Subtil Chueire 330 Paraná Ponta Grossa 84017-220 Brazil

International airports play a significant role in a country's economic development. We propose an integrated framework for operational efficiency analysis using Data Envelopment Analysis, Windows Analysis, and Malmquist Index to identify inefficiencies and areas of improvement in the air transportation industry. This study analyzed 23 Brazilian international airports from 2010 to 2021, using the DEA Window Analysis (DEAWA) combined with the Index (MI). The airports were grouped geographically in southern Brazil. The integration of these methods brought an important insight to the evaluation processes, even for those previously analyzed using DEA. The analyses found that COVID-19 potently influenced the drop in the efficiency index. No airport was fully efficient over the analyzed periods. Private airports achieved an efficiency index slightly higher than public ones, but the difference of the efficiency index by public–private management type is not clear. This type of analysis provides a strategic and comparative tool, making it possible to understand better the weaknesses of the air transportation system. © 2024 The Author(s)

关键词： Airports management COVID-19 Data envelopment analysis Efficiency index Malmquist index Window analysis

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