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11th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2023

作者： Mossad, Nada Mohamed, Youssef Fares, A. Zaky, Ahmed B. Alexandria21934 Egypt Benha University The Computer Systems Engineering Program Faculty of Engineering at Shoubra The Department of Electrical Engineering Egypt

ISBN: (纸本)9798350369328

Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims to identify the polarity of written texts, ranging from positive to negative. Meanwhile, emotion classification is focused on recognizing and categorizing the emotional states expressed in the text. To achieve a deeper understanding of sentiments and emotions, it's essential to utilize models like BERT transformers that can effectively interpret the context. The process begins with data preprocessing, including tokenization and noise removal, followed by fine-tuning techniques to adapt the BERT model to the proposed tasks. We employed the BERT model on four datasets obtained from various sources, including Twitter, news websites, and restaurant reviews, where each dataset represents a distinct Arabic dialect. Our proposed model outperforms commonly used techniques like LSTM and CNN, yielding superior results. Despite the progress made, there are still challenges to overcome, such as dealing with Arabic diacritics, the new Arabic Arabizi, which uses Latin characters, and handling Arabic idioms. Further research is required to address these challenges adequately. © 2023 IEEE.

关键词： Sentiment analysis

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Evaluating the Economic Impact of Users’Personality on Selection of Demand Response programs

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CSEE Journal of Power and Energy systems 2023年第3期9卷 1036-1050页

作者： Hossein Khorramdel Mohsen Gitizadeh Pierluigi Siano Sara Bakhtiari Department of Electronics and Electrical Engineering Shiraz University of TechnologyShirazIran Department of Management&Innovation Systems University of SalernoVia Giovanni PaoloⅡ132Fisciano(SA)-84084Italy Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburg 2006South Africa Power Systems Studies Center of Shiraz University of Technology ShirazIran

Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to resolve these *** addition to demand response schemes in the presence of renewable energy,the personality types of consumers can influence the choice of tariffs and change their electricity *** this paper,first,household residents with different types of personalities are considered as energy ***,the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs,time of use,real-time pricing,and direct load control in the residential sector to reduce total ***,the tariff choice is compared based on people preferences via various personality types,the Myers-Briggs Type Indicator test,and simulations ***,a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total *** financial losses caused by non-optimal tariffs selection are determined through the comparison of *** results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons,respectively.

关键词： Demand response renewable energy smart grid unit commitment

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An Approach on Expanding a Shipbuilding Company to a Shipmanagement Business Unit: A Case Study 24

An Approach on Expanding a Shipbuilding Company to a Shipman...

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6th International Conference on management Science and Industrial engineering, MSIE 2024

作者： Templonuevo, Jan Alexis C. Mariñas, Klint Allen Young, Michael School of Industrial Engineering and Engineering Management Mapua University Manila1002 Philippines Department of Industrial and Systems Engineering Chung Yuan Christian University Taoyuan320 Taiwan

ISBN: (纸本)9798400717130

A company ventures to expand its services from aluminum ship construction to full scale ship management business unit to provide hybrid services on its existing and new clients and further compete on a global scale. The study tackles the existing ship maintenance and repair processes and practices of Company A. Moreover, highlights the feasibility of catering and the methodological formulation of the process map to be implemented. A proposed framework is discussed in detail, the processes were created and developed through focus group discussions, interviews, and literature review. Discussions were conducted from/between maritime professionals on diverse views of engineers and architects who are from seagoing, offshore or land based maritime professions. Focus group discussion was held to combine ideas which led into the creation of processes, whereas also supported by related literature on the subject matter. The study formed illustrations of processes into decision analysis tree, assessment matrix, process maps and innovative adaptations that would fit the need of the company to provide the services around the Philippines with the vessels at any given point on its map. This third-party ship management, which is hybrid in nature, lifts the level of conventional maintenance and repair which are mostly involved only by the professionals practicing in this domain. The paper demonstrated how a shipbuilding company that specializes but is limited in the delivery, construction, and logistical support of ships may broaden its scope to a full-scale third-party ship management business unit. © 2024 ACM.

关键词： Shipyards

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A digital twin calibration for an automated material handling system in a semiconductor fab

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Journal of Manufacturing systems 2025年 80卷 1013-1028页

作者： Kang, Bonggwon Park, Chiwoo Kim, Haejoong Hong, Soondo Department of Industrial Engineering Pusan National University Busan46241 Korea Republic of Department of Industrial and Systems Engineering University of Washington SeattleWA98195 United States Department of Industrial and Management Engineering Kyonggi University Gyeonggi 16227 Korea Republic of

To address the complex, dynamic, and stochastic nature of an automated material handling system (AMHS) in a semiconductor fabrication facility (fab), practitioners have used a high-fidelity discrete-event simulation as its digital twin model for decision-making over several decades. Previous studies have focused on fast digital twin-based decision-making in AMHSs under the assumption that their digital twin models are credible enough to prescribe decisions. However, parameter uncertainty and intrinsic bias in an AMHS digital twin model can lead to an inaccurate representation of its field system. To address the challenge, this paper introduces the Bayesian calibration, which modularly estimates a digital twin outcome and its discrepancy using Gaussian process priors. A calibration framework for digital twin-based decision-making is also presented using an AMHS example. Our experimental results with various AMHS operating scenarios demonstrate that: (1) a sophisticated digital twin calibration is necessary, especially when AMHSs operate under heavy-workload scenarios;and (2) exploring model bias considerably decreases the prediction error of an AMHS digital twin within a limited number of field observations. Moreover, we discuss the applicability of the approach to digital twins in various fields. © 2025 The Society of Manufacturing Engineers

关键词： Gaussian distribution

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Joint Optimization of Production, Distribution and Maintenance for Multi-Site Refinery System with Single Machine and Multiple Parallel Storage Tanks 8

Joint Optimization of Production, Distribution and Maintenan...

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8th IEEE International Energy Conference, ENERGYCON 2024

作者： Diaz, Kamar Sefiani, Naoufal Kammoun, Mohamed Ali Hajej, Zied Department of industrial Engineering and Maintenance University of Lorraine France Department of Mechanical Engineering Abdelmalek Essaâdi University Computer Engineering Production and Maintenance Laboratory Morocco Research Laboratory in Engineering Innovation and Management of Industrial Systems Metz France Department of Mechanical Engineering Abdelmalek Essaâdi University Research Laboratory in Engineering Innovation and Management of Industrial Systems Tangier Morocco Department of industrial Engineering and Maintenance University of Lorraine Computer Engineering Production and Maintenance Laboratory Metz France

ISBN: (纸本)9798350382150

This paper deals with a problem of optimizing production, logistics and maintenance in a multi-site, multi-demand fuel refinery. Each site is equipped with one refining machine and parallel storage tanks. The objective is to meet customer demand while maintaining a given service level. The process starts with an economic production plan for each site during each production period. A distribution plan is then implemented to improve cooperation between sites and reduce the risk of shortages in the case of unsatisfied demand. Given the impact of production rates on the refining machines degradation, a preventive maintenance strategy is developed for each machine. In addition, a preventive maintenance strategy for storage tanks is established based on experimental results showing the correlation between production rates and storage tank failure rates due to corrosion. A numerical example is presented to illustrate the robustness of the proposed model. ©2024 IEEE.

关键词： Preventive maintenance

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Image Semantic Segmentation Used in Automatics 17

Image Semantic Segmentation Used in Automatics

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Spoiala, Viorica University of Oradea Control Systems Engineering and Management Department Oradea Romania

ISBN: (纸本)9798350310634

This paper presents the importance of segmentation methods used in the object analysis in computer vision and image proccessing field, in the automated processes. Image segmentation is a crucial stage of image processing in the context of industrial automation. The detection of objects is one of the main purposes of image segmentation, and in order to do this, it is necessary to perform the segmentation and extraction of the image's significant elements in advance. Putting pixels into semantic classifications is the foundation of semantic segmentation, this being a deep learning method. In order to apply segmentation in computer vision of automated processes the first step could be to label the objects and then to train a neural network to apply this labels to all the similar objects detected in similar images. In this paper some images were segmented by using labels and deep learning methods. After the theoretical aspects are presented, then some examples are made in Matlab environment. © 2023 IEEE.

关键词： Automation

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Informative Path Planning for Nano-Surgical Robot Adaptive Drug Delivery 59

Informative Path Planning for Nano-Surgical Robot Adaptive D...

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59th Annual Conference on Information Sciences and systems, CISS 2025

作者： Alla, Sujatha Bheesetty, Nagesh Park, Hyoshin John Old Dominion University Engineering Management and Systems Engineering Norfolk United States Old Dominion University Department of Data Science Norfolk United States

ISBN: (纸本)9798331513269

Nano-surgical robots are transforming precision medicine by enabling minimally invasive procedures at a microscopic scale. Informative path planning for these robots is critical for ensuring safety, efficiency, and high precision in navigating sensitive anatomical and uncertain environments. This study adapts the RRT*-IT (Rapidly Exploring Random Tree-Information Theoretic) algorithm, traditionally utilized in robotics, to address the unique challenges faced by nano-surgical robots. The proposed methodology offers significant advancements in sub-millimeter precision navigation, reducing collision risks and enhancing procedural efficiency. The adaptive path planning system optimizes a trade-off between collision avoidance and information gain while minimizing surgical trajectory. The algorithm dynamically adjusts paths by incorporating probabilistic models for obstacle detection and uncertainty reduction, accommodating changes in tissue density, obstacle dimensions, and operational constraints. The performance of proposed approach are validated through various scenarios involving dynamic uncertain environments. The findings hold promise for broader applications in automated drug delivery setting a foundation for intelligent nano-robotic systems in healthcare. © 2025 IEEE.

关键词： Robot programming

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Application of Analytical Hierarchy Process (AHP) for Assessment of Plastic Waste

Application of Analytical Hierarchy Process (AHP) for Assess...

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2024 IEEE International Conference on Technology management, Operations and Decisions, ICTMOD 2024

作者： Joseph, Tania M Junu Jahana, C. Ndiaye, Malick College of Engineering American University of Sharjah Engineering Systems Management Sharjah United Arab Emirates College of Engineering American University of Sharjah Department of Industrial Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350367355

Addressing the escalating issue of plastic pollution has become a critical environmental priority due to the global inadequacy in managing rising plastic waste. This study applies the Analytical Hierarchy Process (AHP) to rank plastics based on their environmental, economic, and social impacts, identifying polycarbonate (PC) and polyvinyl chloride (PVC) as the most problematic. The AHP framework provides a methodologically sound basis for prioritizing these plastics in waste management strategies, enabling more targeted policy interventions, lifecycle analyses, and corporate decisionmaking. Additionally, the findings can inform public awareness campaigns and guide efforts toward sustainable consumption and waste reduction. By focusing on the most impactful plastics, this research offers a strategic pathway for enhancing the efficiency and sustainability of global plastic waste management. © 2024 IEEE.

关键词： Plastic recycling

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Conditional Importance Sampling For Convex Rare-Event Sets

Conditional Importance Sampling For Convex Rare-Event Sets

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2023 Winter Simulation Conference, WSC 2023

作者： Ahn, Dohyun Zheng, Lewen The Chinese University of Hong Department of Systems Engineering and Engineering Management Shatin New Territories Hong Kong

ISBN: (纸本)9798350369663

This paper studies the efficient estimation of expectations defined on convex rare-event sets using importance sampling. Classical importance sampling methods often neglect the geometry of the target set, resulting in a significant number of samples falling outside the target set. This can lead to an increase in the relative error of the estimator as the target event becomes rarer. To address this issue, we develop a conditional importance sampling scheme that achieves bounded relative error by changing the sampling distribution to ensure that a majority of samples lie inside the target set. The proposed method is easy to implement and significantly outperforms the existing approaches in various numerical experiments. © 2023 IEEE.

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Intelligent Turning Cyber-Physical systems Modeling using SysML 50

Intelligent Turning Cyber-Physical Systems Modeling using Sy...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Dey, Prithbey Raj Enke, David Buchely, Mario Department of Engineering Management and Systems Engineering Missouri University of Science and Technology Rolla United States Department of Materials Science and Engineering Missouri University of Science and Technology Rolla United States

ISBN: (纸本)9781665464543

Cyber-Physical systems (CPS) support industrial automation that incorporates people, hardware, signal, computation, and control using networking to achieve desired results. The complex automated CPS design demands a standard and comprehensive approach to appropriately identify the system requirements, define the architecture, and model the relationships among the software and hardware components. systems Modeling Language (SysML) provides the capability for a comprehensive modeling to capture the desired design requirements in the systems architecture. SysML enables performance estimation of the model by analyzing constraints while identifying interactions among the components through various behavioral diagrams. In this paper, SysML is applied to the design and development of an intelligent cyber-physical system to automate an industrial turning operation to facilitate optimal operating conditions, maintainability, and scalability. © 2024 IEEE.

关键词： Intelligent systems

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