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22nd International Conference on Electronics Packaging, ICEP 2023

作者： Jhu, W.Y. Cheng, H.C. Feng Chia University Department of Aerospace and Systems Engineering Taichung Taiwan Feng Chia University Ph.D Program of Mechanical and Aeronautical Engineering Taichung Taiwan

ISBN: (纸本)9784991191152

This study aims to give an accurate estimate of the effective thermal-mechanical properties of a coreless circuit substrate for advanced IC packages. To achieve the goal, a subdomain-based effective method is proposed, incorporating a sub-domain three-dimensional (3D) copper trace mapping and modeling (TMM) method, a volume-averaging rule of mixture (ROM) technique and finite element modeling. Furthermore, the proposed effective method is combined with an FEA-based process simulation framework to investigate the process-induced warpage of a flip-chip chip scale package during fabrication. At last, parametric analysis is performed to identify the crucial factors influencing the process-induced warpage of the package. © 2023 Japan Institute of Electronics Packaging.

关键词： Substrates

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Burned Forest Areas Mapping Using Semantic Segmentation Networks with Group and Shuffle Embeddings 21

Burned Forest Areas Mapping Using Semantic Segmentation Netw...

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21st IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2025

作者： Zulkifley, Mohd Asyraf Abdul Aziz, Nurul Aina Stofa, Marzuraikah Mohd Universiti Kebangsaan Malaysia Department of Electrical Electronic and Systems Engineering Bangi Malaysia Malaysian Space Agency Resource Management Application Division Kuala Lumpur Malaysia

ISBN: (纸本)9798331522193

Forests are one of the most important resources in a country. However, the number of forest fires is increasing worldwide, and more than 10 million acres of forest are lost every year. Therefore, it is important to have an effective automated forest management system that can monitor and predict the state of the forests in real time. Hence, remote sensing modality through satellite imaging has been used to monitor the state of the forests such as the affected areas due to the fire incidents. It will be very impractical to manually annotate the burned areas, which is the main driving factor for various development of semantic segmentation models for automated mapping process. This work introduces the group and shuffle embeddings to a symmetric encoder-decoder network to enhance forest fire mapping performance. The main task of these embeddings is to increase the variety of features that represent the burned forest areas, as well as forcing each group of filters to extract diverse sets of features. The proposed model, GaS-Net managed to deliver respectable performance with a mean intersection over union of 0.9664, whereby the embeddings are placed at the third block that produces 32 channels per group with a feature map size of 64 x 64 pixels. The model can be further enhanced by analyzing better configurations of the individual group and shuffling modules. This work provides significant insight to the search and rescue agencies to estimate the loss due to the forest fire disaster. © 2025 IEEE.

关键词： Semantic Segmentation

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Deep neural network-based secure healthcare framework

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Neural Computing and Applications 2024年第28期36卷 17467-17482页

作者： Aldaej, Abdulaziz Ahanger, Tariq Ahamed Ullah, Imdad College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia Management Information Systems Department CoBA Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia School of Computer Science Faculty of Engineering The University of Sydney SydneyNSW2006 Australia

Healthcare stands out as a critical domain profoundly impacted by Internet of Things (IoT) technology, generating vast data from sensing devices as IoT applications expand. Addressing security challenges is paramount for a successful IoT healthcare framework, with blockchain technology offering a decentralized structure for robust data protection and secure data exchange within multi-node IoT networks. The research introduces a secure IoT healthcare diagnostic model empowered by deep neural networks, emphasizing encryption, safe transactions, and healthcare diagnostics as key components. Notably, the model incorporates innovative techniques like the orthogonal particle swarm optimization algorithm for sharing medical images and a neighborhood indexing sequence method for hash value encryption. The development of an optimized deep neural network-based classification model for illnesses, validated through extensive trials, demonstrates superior performance metrics compared to existing decision-making techniques, with significant improvements in f-Measure (96.25%), sensitivity (93.26%), specificity (94.26%), and accuracy (93.26%). This study’s scientific contribution lies in its innovative approach to securing IoT-healthcare diagnosis models, validated performance enhancements using real-world datasets, and insightful recommendations for future research directions, fostering advancements in healthcare technology for enhanced patient care and system efficiency. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Internet of things

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A comparison study between Modbus and IEC 61850 MMS Protocols 33

A comparison study between Modbus and IEC 61850 MMS Protocol...

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33rd Southern African Universities Power engineering Conference, SAUPEC 2025

作者： Johnson, Rayner Krishnamurthy, Senthil Mataifa, Haltor Esmail, Mohammed Cape Peninsula University of Technology Center for Substation Automation and Energy Management Systems Department of Electrical Electronic and Computer Engineering Cape Town7530 South Africa

ISBN: (纸本)9798331535162

The growing adoption of renewable energy primary plants has been seen globally. South Africa has seen a significant development in utility-scale photovoltaic (PV) farms in recent years due to the alleviated regulations stipulated in the latest Electricity Regulation Amendment Act. Connecting the PV plants to the power grid has also undergone a technical evolution by incorporating modern embedded computers known as Intelligent Electronic Devices (IEDs). The International Electrotechnical Committee (IEC) 61850 standard defines a suite of protocols used in modern power systems. This study compares the IEC 61850 Manufacturing Messaging Specification (MMS) with the well-known MODBUS protocol. The comparison is achieved by simulating a solar farm's Power Plant Controller (PPC). © 2025 IEEE.

关键词： Solar power plants

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Developing an Expert System for Mobile-based Gastroenteritis Detection Using ESDLC and Best First Search Methods 8

Developing an Expert System for Mobile-based Gastroenteritis...

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8th International Conference on Informatics and Computing, ICIC 2023

作者： Isnanto, R. Rizal Widodo, Catur Edi Windasari, Ike Pertiwi Saputri, Misik Puspajati Diponegoro University Information Systems Doctoral Program Semarang Indonesia Diponegoro University Computer Engineering Department Semarang Indonesia

ISBN: (纸本)9798350342604

Gastroenteritis is a common gastrointestinal disorder with varying degrees of severity, including cases without dehydration, mild dehydration, moderate dehydration, and severe dehydration. This research focuses on the development of a mobile-based expert system for detecting gastroenteritis, capable of distinguishing between these different dehydration levels. The methodology employed integrates the Extreme Structure Development Life Cycle (ESDLC) and the Best First Search algorithm. The expert system is designed to provide swift and accurate responses to users inputting symptoms, categorizing gastroenteritis cases based on the severity of dehydration. The application of ESDLC ensures a structured and organized development process, while the Best First Search method enhances the efficiency of the diagnostic process, facilitating timely and precise recommendations. Accessible through mobile platforms, the system allows users to input symptoms conveniently and receive rapid recommendations. Rigorous testing and evaluation affirm the system's high accuracy in discerning dehydration levels in gastroenteritis patients. In conclusion, the developed mobile-based expert system exhibits promising potential for advancing diagnostic services, particularly in the categorization of dehydration levels in gastroenteritis cases. The successful implementation of ESDLC and Best First Search paves the way for similar solutions in other healthcare domains, contributing positively to early and accurate disease management efforts. This innovation marks a significant stride towards improving healthcare technology for enhanced decision support in gastroenteritis diagnosis. © 2023 IEEE.

关键词： Life cycle

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Usability assessment of scholarly publishers’ online journal interfaces

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Journal of Data, Information and management 2023年第4期5卷 363-374页

作者： Peker, Serhat Dalveren, Gonca Gokce Menekse Department of Management Information Systems Izmir Bakirçay University İzmir 35665 Turkey Department of Software Engineering Atilim University Ankara 06830 Turkey

A well-designed and user-friendly online journal interface not only enhances researchers’ satisfaction but also bolsters the reputation of academic publishers within the scholarly community. Consequently, the present study undertakes an examination of the usability aspects pertaining to online journal interfaces offered by five prominent academic publishers: Wiley, Sage, Elsevier, Springer, and Taylor & Francis. This investigation encompasses a combination of user testing and post-questionnaire methodologies, aiming to accrue both quantitative and qualitative data concerning user task execution and satisfaction. The research findings spotlight the varying degrees of usability across major academic publishers and emphasize the critical role of design in enhancing researchers’ experiences. By identifying both usability strengths and weaknesses, along with offering actionable areas for improvement, this study adds a valuable perspective to the enhancement of academic journal interfaces. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Human computer interaction Usability evaluation User interfaces Web information systems Web usability

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A dynamic simulation model to improve the livability of transportation systems

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Public Transport 2025年第1期17卷 177-220页

作者： Suryani, Erma Hendrawan, Rully Agus Adipraja, Philip Faster Eka Widodo, Basuki Chou, Shuo-Yan Az-Zahra, Alifia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Department of Informatics Engineering Institut Teknologi Dan Bisnis Asia Malang Surabaya65113 Indonesia Department of Mathematics Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan Department of Civil Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

Transportation users often face shortcomings, such as unreliable service causing uncertainty in transit, low quality of service, and loss of time due to road and highway congestion. This study aims to improve the livability of the transportation system by considering several factors. System dynamics is used as a model development method to analyze the relationship between complex and nonlinear variables affecting the livability of the transportation system. The system structure of a valid model can be modified by adding multiple feedback loops, new parameters, and changing the feedback loop structure to see how it affects other variables. The scenario model is built from a valid model by changing the model structure to improve the livability of the transportation system through improvements in the perception, safety, security, and health level of public transport, land use accessibility, and mitigation of air pollution. These strategies are expected to increase the livability of the transportation system by 71%, driven by the improvement in perception, safety, security level, and health level of public transport, land use accessibility, and decreased air pollution. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Land use

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Board 320: Integrating Playful Learning: A Mixed-Reality Approach to Enhance Computational Thinking in Young Learners

Board 320: Integrating Playful Learning: A Mixed-Reality App...

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2024 ASEE Annual Conference and Exposition

作者： Hwang, Jaejin Kim, Yanghee Lee, Sungchul Mosher, Joshua Koradala, Nikitha Sohail, Mohammad Faizan Department of Industrial and Systems Engineering College of Engineering and Engineering Technology Northern Illinois University DeKalbIL United States Department of Educational Technology Northern Illinois University DeKalbIL United States Division of Computer Science and Engineering Sunmoon University Korea Republic of Department of Computer Science University of Wisconsin-Whitewater WhitewaterWI United States Department of Operations Management and Information Systems Northern Illinois University DeKalbIL United States

This study aimed to develop a pioneering augmented reality (AR) environment focused on nurturing early computational thinking skills in kindergarten through second-grade students. Rooted in embodied cognition and social robotics, the project seamlessly integrated AR technology with a physically embodied robot named Linibot. Children engaged in a chessboard-like grid navigation, guided by Linibot through a tablet displaying AR obstacles. The educational objectives encompassed building STEM problem-solving skills, understanding symbols and sequences, and fostering confidence in technology utilization. Pre- and post-tests were employed to assess the impact of the AR environment on computational thinking skills within an intervention group. Developed and refined iteratively over two and a half years, the environment underwent testing with thirty-five children in diverse settings, including a showcase event involving twenty children. The ongoing analysis of interaction logs aims to evaluate children's performance, refine AR obstacles and robot cues, and present findings in this poster session for discussions on implications for developmentally appropriate learning and ecologically valid assessment. Preliminary results from five students in the intervention group revealed improvements in task performance related to path-finding tasks compared to the pre-test. The average duration of task completion decreased by 42%, the average number of instances of avoiding difficult problems substantially decreased by 80%, and the number of missions achieved increased by 80%. This impact was more pronounced for students who faced greater challenges during the pre-tests. The preliminary findings suggest that the proposed AR educational tool not only enhanced students' computational thinking but also influenced their learning behavior, encouraging them to tackle difficult problems rather than avoid them. Future studies will conduct a comparative analysis between the control and intervent

关键词： Contrastive Learning

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Integrated utilization of infrared and ultrasound technologies for bridges 12th

Integrated utilization of infrared and ultrasound technologi...

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12th International Conference on Bridge Maintenance, Safety and management, IABMAS 2024

作者： Alqurashi, I. Debees, M. Matsumoto, Masato Alqarfi, A. Catbas, F. Necati Department of Civil Environmental and Construction Engineering University of Central Florida Orlando United States NEXCO West USA Inc Vienna Austria Department of Industrial Engineering and Management Systems University of Central Florida Orlando United States

ISBN: (纸本)9781032770406

This study assesses the effectiveness of integrating infrared thermography (IR) and ultrasound (UT) technologies for the non-destructive testing of concrete bridges, addressing the critical need for advanced assessment methods amidst the deteriorating state of U.S. infrastructure. By combining the rapid, surface-level scanning capabilities of IR with the precise, in-depth analysis offered by UT, our research demonstrates a comprehensive approach to identifying subsurface anomalies such as delaminations, voids, and corrosion of reinforcement. The findings underscore the complementary strengths of IR and UT, highlighting their potential to significantly enhance the accuracy of infrastructure evaluations, optimize maintenance strategies, and ensure public safety. This integrated methodology proposes a balanced, efficient inspection process, advocating for further development in data collection, processing, and analysis techniques to improve the longevity and reliability of critical public works. © 2024 The Editor(s).

关键词： Nondestructive examination

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Measuring China's Energy Efficiency with Different DEA Models

Measuring China's Energy Efficiency with Different DEA Model...

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2022 IEEE International Conference on Industrial engineering and engineering management, IEEM 2022

作者： Wang, Xu Hasuike, Takashi Waseda University Department of Industrial and Management Systems Engineering Tokyo Japan

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

This study evaluates three different types of data envelopment analysis (DEA) models by applying them to measure China's energy efficiency. The efficacy of DEA in efficiency measurement is the primary reason why DEA has gained significant attentions from researchers across the world. The primary benefits of DEA include its ability to provide both efficiency scores and improvement targets for decision making units (DMUs) under measurement. The improvement targets suggest several ways to improve inefficient DMUs' efficiency. An improvement target that is close to the DMU under measurement is considered to be easy-to-achieve in DEA. However, in previous studies, most conventional DEA models used for China's efficiency measurement provided a far improvement targets that cannot be achieved immediately and would require several years. Thus, a least-distance DEA model that can provide a closer improvement target is used in this study. Furthermore, a conventional DEA model and a ratio type DEA model are used to study and compare the performances. All three DEA models are applied to the measurement of China's energy efficiency in 1997, 2002, 2007, and 2012. The differences in the efficiency scores and improvement targets provided by the three models have been reviewed in this paper. Although the results show different improvement targets, it can be inferred that reducing the overall energy consumption and increasing the GDP are still two effective measures for inefficient provinces, districts, and cities according to the experimental results. © 2022 IEEE.

关键词： Data envelopment analysis

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