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13th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2023

作者： Kawane, Ryuto Ijuin, Hiromasa Karube, Koki Sugi, Masao Nakada, Tomohiro Yamada, Tetsuo University of Electro-Communications Department of Informatics Tokyo Japan Tokyo University of Science Department of Industrial and Systems Engineering Chiba Japan Engineering University of Electro-Communications Department of Mechanical and Intelligent Systems Tokyo Japan Bunkyo Gakuin University Department of English Communication Tokyo Japan

ISBN: (纸本)9798350305548

Recently, the manufacturing industry has been digitizing skills through motion capture to solve issues such as human resource development and the transmission of skills. However, the amount of data on body movements obtained from motion capture is enormous, and the use of machine learning is required for data mining. This study proposes an identification method for the potential improvement of work by analyzing the differences between experienced and inexperienced worker motion using a classification method with a deep learning software for the worker's experience level. © 2023 IEEE.

关键词： Deep learning

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Decision support system for port terminals: Design and development of a business intelligence tool

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Procedia Computer Science 2025年 253卷 2438-2447页

作者： Marco Gonçalves Leonor Teixeira Department of Economics Management Industrial Engineering and Tourism (DEGEIT) University of Aveiro Aveiro Portugal Institute of Electronics and Informatics Engineering of Aveiro (IEETA) Intelligent Systems Associate Laboratory (LASI) Department of Economics Management Industrial Engineering and Tourism (DEGEIT) University of Aveiro Aveiro Portugal

The exponential growth in the volume of maritime cargo has presented significant challenges for ports, underscoring the urgent need for digitalized processes and more efficient solutions aligned with the Maritime 4.0 vision. However, there is a gap in research focusing on applying Business Intelligence (BI) tools to optimize port terminal operations. This article addresses this gap by developing a BI tool to characterize the flow of container delivery and pick-up services at a Portuguese port terminal, utilizing the CRISP-DM methodology. The tool, built using Microsoft Power BI, not only eases the extraction and correction of data inconsistencies but also presents key operational indicators through visually appealing dashboards. These dashboards enhance the understanding of both current and future operational states, leading to more informed and agile decision-making. On the terminal under study, the implementation of this BI tool revealed that scheduling is done with an average lead time of just 32 minutes in the current year, with 47% of services being scheduled in advance and only 21% adhering to their designated time slots. These results corroborate the challenges faced and demonstrate the critical role of data in monitoring operational performance. By addressing these challenges, this study not only enhances logistics flow analysis and reduces terminal congestion but also demonstrates the significant impact of BI tools on achieving Maritime 4.0 goals. The findings establish a solid foundation for future BI applications in the maritime sector, highlighting the transformative potential of digital solutions in optimizing seaport operations.

关键词： Business Intelligence Data Mining Performance Indicators Dashboard CRISP-DM Seaports Maritime 4.0

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Simulation to predict the behaviour of a new seaport gate: An application in the Sines container terminal

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Procedia Computer Science 2025年 253卷 2409-2418页

作者： Raquel Gil Pereira Rui Borges Lopes Leonor Teixeira Center for Research & Development in Mathematics and Applications (CIDMA) Department of Economics Management Industrial Engineering and Tourism (DEGEIT) University of Aveiro Aveiro Portugal Institute of Electronics and Informatics Engineering of Aveiro (IEETA) Intelligent Systems Associate Laboratory (LASI) Department of Economics Management Industrial Engineering and Tourism (DEGEIT)University of Aveiro Aveiro Portugal

With rapid technological changes and globalized supply chains, intelligent and adaptable logistics systems are crucial, particularly at seaports. Container terminals face increasing volumes and demands, leading to potential truck congestion and long queues. Automation offers a solution by optimizing port performance and adapting to dynamic conditions, though port digitalization is complex due to diverse stakeholders and information flows. This work is part of the digital transformation of the Port of Sines - Portugal, specifically in the Smart Gate concept context. For this purpose, the Port of Sines Administration, together with other partners, has established the prerequisite of a pre-gate, which is currently being analysed from the point of view of its processes, the technologies to be included and the information models to be supported. This work aims to dynamically analyse the pre-gate model by testing different scenarios to propose improvements to the inherent processes using simulation. The study culminated in a discrete-event simulation model with Anylogic software to predict pre-gate behaviour and foresee potential issues. By testing various scenarios and evaluating their effects on key performance indicators, this model supports the continuous improvement of pre-gate processes.

关键词： port logistics container terminal smart gate truck congestion simulation Anylogic

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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What is known about smart ports around the world? A benchmarking study

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Procedia Computer Science 2024年 232卷 1748-1758页

作者： Juliana Basulo-Ribeiro Carina Pimentel Leonor Teixeira Department of Economics Management Industrial Engineering and Tourism (DEGEIT) University of Aveiro Aveiro Portugal Algoritmi Research Unit Production and Systems Department School of Engineering University of Minho Campus Azurém 4800-058 Guimarães Portugal Institute of Electronics and Informatics Engineering of Aveiro (IEETA) Intelligent Systems Associate Laboratory (LASI) Department of Economics Management Industrial Engineering and Tourism (DEGEIT)University of Aveiro Aveiro Portugal

Approximately 80% of global trade is transported by sea, so ports must adjust to sustain competitiveness in the market. For this, ports are making a transition from traditional ports to digital ports, incorporating technology, giving rise to the concept of “Smart Port”. Considering the relevance and novelty of this topic, that researchers are trying to investigate, the main objective of this work is to contribute to it by answering the question: “What is known about smart ports around the world?”, with a focus on the impacts of smart ports on sustainable development goals (SDG) 8 (decent work and economic growth), 9 (industry, innovation, and infrastructure) and 11 (sustainable cities and communities). Thus, a Google search was carried out on the different websites of port authorities and maritime data solutions, to perform a benchmarking of what is already a reality regarding existing smart ports. Therefore, this study has contributions both at the theoretical level, by identifying good practices in terms of technology and initiatives, to bring knowledge to the academia about what already exists in smart ports, and at the practical level, by helping other seaports to advance in the digital state and become more intelligent, providing ideas for the implementation of initiatives that allow the modernization of ports (contributing to sustainability in different dimensions).

关键词： Digital Transformation Smart Ports Technology Sustainability benchmarking study

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Augmented Lagrangian Method for Linear Programming Using Smooth Approximation 6th

Augmented Lagrangian Method for Linear Programming Using Sm...

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6th International Conference on Dynamics of Information systems, DIS 2023

作者： Moosaei, Hossein Ketabchi, Saeed Syed, Mujahid N. Bazikar, Fatemeh Department of Informatics Faculty of Science Jan Evangelista Purkyně University Ústí nad Labem Czech Republic Department of Applied Mathematics Faculty of Mathematical Sciences University of Guilan Rasht Iran Department of Industrial and Systems Engineering Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals KSA Dhahran31261 Saudi Arabia Department of Computer Science Faculty of Mathematical Sciences Alzahra University Tehran Iran

ISBN: (纸本)9783031503191

The augmented Lagrangian method can be used for finding the least 2 - norm solution of a linear programming problem. This approach’s primary advantage is that it leads to the minimization of an unconstrained problem with a piecewise quadratic, convex, and differentiable objective function. However, this function lacks an ordinary Hessian, which precludes the use of a fast Newton method. In this paper, we apply the smoothing techniques and solve an unconstrained smooth reformulation of this problem using a fast Newton method. Computational results and comparisons are illustrated through multiple numerical examples to show the effectiveness of the proposed algorithm. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Newton-Raphson method

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How to ensure Lean sustainability through digitization in Industry 4.0? a study in practical context using the mLean tool

How to ensure Lean sustainability through digitization in In...

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Iberian Conference on Information systems and Technologies (CISTI)

作者： Ana Ferreira Leonor Teixeira Department of Economics Management Industrial Engineering and Tourism (DEGEIT) University of Aveiro Aveiro Portugal Department of Economics Management Industrial Engineering and Tourism (DEGEIT) Institute of Electronics and Informatics Engineering of Aveiro (IEETA) / Intelligent Systems Associate Laboratory (LASI) University of Aveiro Aveiro Portugal

In today’s business world, the path to the development of “Industry 4.0” starts with digitization. Although digitization itself is not part of “Industry 4.0”, connectivity is the basic requirement for its implementation. In this sense, with the emergence of technologies, preserving what already exists has become preponderant. This preservation then involves reconciling Lean with technology. In this article, a case study on the use and implementation of a digital tool will be conducted, specifically mLean, a tool that daily supports the production lines of an organization belonging to the automotive industry. As mLean is based on digitization, it is possible to create more dynamic and less complex environments, thus improving quality, flexibility, and productivity in the industrial environment, facts in line with findings of this study. In addition, it was possible to conclude with this study that this tool allows to standardize information, reduce paper usage, and get answers faster, thus improving lean management and ensuring the sustainability of associated practices.

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Low-noise Microwave Signal Generation by Heterodyning Two Narrow-linewidth Self-injection Locked Lasers

Low-noise Microwave Signal Generation by Heterodyning Two Na...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Fan, Yihao Siyu, E. Guo, Yuyao Li, Xinhang Lu, Liangjun Wang, Shuxiao Cai, Yan Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Shanghai Industrial μTechnology Research Institute Shanghai201800 China

We realize a hybrid integrated self-injection locking laser (SIL) with an ultra-narrow intrinsic linewidth of 5 Hz. With heterodyne synthesis using a pair of SILs, a microwave signal with a 4-kHz linewidth is achieved... 详细信息

ISBN: (纸本)9781957171395

关键词： Linewidth

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Low-noise Microwave Signal Generation by Heterodyning Two Narrow-linewidth Self-injection Locked Lasers

Low-noise Microwave Signal Generation by Heterodyning Two Na...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Linewidth

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Identification of potential improvement assembly movements using worker classification by motion capture and machine learning

Identification of potential improvement assembly movements u...

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IEEE International Workshop on Computational Intelligence & Applications (IWCIA)

作者： Ryuto Kawane Hiromasa Ijuin Koki Karube Masao Sugi Tomohiro Nakada Tetsuo Yamada Department of Informatics University of Electro-Communications Tokyo Japan Department of Industrial and Systems Engineering Tokyo University of Science Chiba Japan Department of Mechanical and Intelligent Systems Engineering University of Electro-Communications Tokyo Japan Department of English Communication Bunkyo Gakuin University Tokyo Japan

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