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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Susanto, Krisna Chandra Prasetyo, Yogi Tri Cahigas, Maela Madel L. Nadlifatin, Reny Persada, Satria Fadil Ayuwati, Irene Dyah Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Entrepreneurship Department Bina Nusantara University Jakarta Indonesia University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

The Online food delivery services (OFDS) have been extensively utilized, especially in developing nations like Indonesia on new normal Covid-19 situation. The present research aimed to utilize the "Unified Theory of Acceptance and Use of Technology-2" (UTAUT2) in affecting the customer satisfaction and loyalty (CSL) in OFDS in Indonesia post-COVID-19 pandemic. The 253 data was taken to answer the 65 indicators. Structural equation modeling (SEM) indicates that hedonic motivation exerts the most significant influence on CSL, succeeded by price. This study unexpectedly found that usability factors, including performance expectation habit, did not influence customer happiness and CSL in OFDS. This research strongly provides a theoretical framework for OFDS practitioners, IT developers, and scholars. The present research can be modified and expanded to different nations to examine the determinants of customer CSL in OFDS. © 2024 IEEE.

关键词： Sales

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Exploring 3D Reconstruction with Drone Images: Advances and Challenges in Urban Environments 50

Exploring 3D Reconstruction with Drone Images: Advances and ...

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

作者： Miranda Baldivieso, Thiago João da Silva Batista, Taise Grazielle Chagas, Fabio Suim Rodrigues Velho, Luiz Carlos Pacheco Ferreira Rosa, Paulo Fernando Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil State Institute of the Environment Inea RJ Rio de Janeiro Brazil Department of Science and Industry systems University of South-Eastern Norway Kongsberg Norway Department of Computer Graphics Institute for Pure and Applied Mathematics Rio de Janeiro Brazil Electrical Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781665464543

This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, starting with image acquisition, followed by the application of specific photogrammetry software-both commercial and open-source-and concluding with a qualitative evaluation of the results. © 2024 IEEE.

关键词： Aerial photography

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"the Perceived Usability of COVID-19 Contact Tracing\"Thai Chana\"using System Usability Scale" 24

"the Perceived Usability of COVID-19 Contact Tracing\"Thai C...

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

作者： Prasetyo, Yogi Tri Liao, Jui-Hao Chuenyindee, Thanatorn Cahigas, Maela Madel L. Persada, Satria Fadil Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Department of Industrial Engineering and Management Yuan Ze University Chung-Li Taiwan Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok Thailand School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798400717130

During the COVID-19 Pandemic, Thailand utilized Thai Chana contact tracing mobile application and the paper document. The purpose of this study was to explore the perceived usability of Thai Chana contact tracing by utilizing System Usability Scale (SUS). A total of 800 Thais voluntarily answered the SUS questionnaire. The results indicated that the average SUS score was 70.388. In addition, ANOVA indicated there was an effect of the age on the perceived usability and older generations had lower SUS scores. This study could provide a basic understanding of the perceived usability of COVID-19 contact tracing. © 2024 ACM.

关键词： Contact Tracing

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Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting 38

Introducing Spectral Attention for Long-Range Dependency in ...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Kang, Bong Gyun Lee, Dongjun Kim, HyunGi Chung, DoHyun Yoon, Sungroh Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of Department of Electrical and Computer Engineering Seoul National University Korea Republic of Department of Future Automotive Mobility Seoul National University Korea Republic of

Sequence modeling faces challenges in capturing long-range dependencies across diverse tasks. Recent linear and transformer-based forecasters have shown superior performance in time series forecasting. However, they are constrained by their inherent inability to effectively address long-range dependencies in time series data, primarily due to using fixed-size inputs for prediction. Furthermore, they typically sacrifice essential temporal correlation among consecutive training samples by shuffling them into mini-batches. To overcome these limitations, we introduce a fast and effective Spectral Attention mechanism, which preserves temporal correlations among samples and facilitates the handling of long-range information while maintaining the base model structure. Spectral Attention preserves long-period trends through a low-pass filter and facilitates gradient to flow between samples. Spectral Attention can be seamlessly integrated into most sequence models, allowing models with fixed-sized look-back windows to capture long-range dependencies over thousands of steps. Through extensive experiments on 11 real-world time series datasets using 7 recent forecasting models, we consistently demonstrate the efficacy of our Spectral Attention mechanism, achieving state-of-the-art results. © 2024 Neural information processing systems foundation. All rights reserved.

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Stunting Classification in Toddlers: Implementation and Evaluation of the Decision Tree Algorithm

Stunting Classification in Toddlers: Implementation and Eval...

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2024 International Conference on Information Technology and Computing, ICITCOM 2024

作者： Alita, Debby Ahmad, Imam Jafar Rumandan, Rhaishudin Erkamim, Moh Widyasmoro Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Institut Agama Islam Negeri Ambon Islamic Education Management Study Program Ambon Indonesia Universitas Tunas Pembangunan Smart City Information Systems Study Program Surakarta Indonesia Universitas Muhammadiyah Yogyakarta Faculty of Engineering Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350379839

Stunting in toddlers is a chronic nutritional issue that affects the physical and cognitive development of children, with serious long-term consequences such as reduced cognitive function and an increased risk of chronic diseases in adulthood. Therefore, early identification and prevention efforts for stunting are crucial. Classifying toddlers into categories of at-risk for stunting or not is essential to provide timely and appropriate interventions. This study employs data mining techniques using the decision tree algorithm to expedite the stunting detection process and improve the accuracy of nutritional status classification in children. The results indicate that the constructed decision tree model can classify children's nutritional status with an accuracy of 83.26%. The decision tree achieves high accuracy in classifying stunting in toddlers due to its ability to handle complex data and identify significant patterns within the data. © 2024 IEEE.

关键词： Classification Data Mining Decision Tree Stunting

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Nonlinear dynamic of turbulent bearing-rotor system under quadratic damping with HSFD and active control

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Journal of the Brazilian Society of Mechanical Sciences and engineering 2024年第3期46卷 1-13页

作者： Chang-Jian, Cai-Wan Chu, Li-Ming Chen, Tsung-Chia Yau, Her-Terng Department of Mechanical Engineering National Chin-Yi University of Technology No.57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung411030 Taiwan Interdisciplinary Program of Green and Information Technology National Taitung University Taitung City95092 Taiwan Department of Mechanical Engineering National Chung Cheng University No.168 Sec. 1 University Rd. Chiayi Minhsiung621301 Taiwan

Traditional squeeze-film dampers are used in modern aircraft generators as vibration-suppressing devices. However, the conventional squeeze-film damper has the disadvantage of highly nonlinear oil film force. This study aims to improve the dynamic characteristics of the squeeze-film damper by changing its geometric structure, so a hybrid squeeze-film damper (HSFD) is proposed. Besides, the turbulent flow could also be found in lubrication analysis of high rotating speed turbo-machineries, and the ignorance of turbulent flow would lead to significant failure results. Accordingly, the study presents a nonlinear dynamic analysis of a turbulent bearing-rotor system under quadratic damping equipped with HSFD. The dimensionless speed ratio and dimensionless unbalance parameter are used to plot the bifurcation diagrams, and abundant harmonic, subharmonic, quasi-periodic, and even chaotic motions are found with dynamic trajectories, power spectrum, Poincaré maps, Lyapunov exponent, and fractal dimension, simultaneously. Finally, an active control method is applied to suppress the chaotic responses. The simulation results will provide valuable suggestions for designing and developing rotating machinery, such as rotor-bearing systems operating at high rotational speeds and nonlinearity. © The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and engineering 2024.

关键词： Rotating machinery

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Comparing the efficacy of AR-based training with video-based training 66th

Comparing the efficacy of AR-based training with video-based...

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66th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2022

作者： Dwivedi, Shivangi Hayes, John Pedron, Isabella Kang, John Brenner, Lindsey J. Barnes, Connor Bailly, Ashley Tanous, Kyle Nelson, Cassidy Moats, Jason Gabbard, Joseph L. Mehta, Ranjana K. Department of Industrial and Systems Engineering United States Department of Chemical Engineering United States Department of Interdisciplinary Engineering United States Department of Biomedical Engineering Texas A and M University TX United States Department of Industrial and Systems Engineering Virginia Tech VA United States Texas A and M Engineering Extension Service TX United States

In recent years, US Emergency Medical Services (EMS) have faced a massive shortage of EMS workers. The sudden outbreak of the pandemic has further exacerbated this issue by limiting in-person training. Additionally, current training modalities for first responders are costly and time-consuming, further limiting training opportunities. To overcome these challenges, this paper compares the efficacy of augmented reality (AR), an emerging training modality, and video-based training to address many of these issues without compromising the quality of the training with reduced instructor interaction. We examined performance, subjective, and physiological data to better understand workload, user engagement, and cognitive load distribution of 51 participants during training. The statistical analysis of physiological data and subjective responses indicate that performance during AR and video-based training and retention phases depended on gender perception of workload and cognitive load (intrinsic, germane, extraneous). However, user engagement was higher in AR-based training for both genders during training. © 2022 by Human Factors and Ergonomics Society. All rights reserved.

关键词： Ergonomics

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Design of an Infusion Capacity Monitoring System for Patients Based on the Internet of Things in Hospitals 9

Design of an Infusion Capacity Monitoring System for Patient...

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9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Windyasari, Vina Septiana Murad, Silvia Ayunda Syam, Syahriani Mahardika, Maulia Budiman, Johan Rahmawati, Diah Islamic Syekh-Yusuf University Information Systems Study Program Tangerang Indonesia Binus University Binus Online Learning Information System Department Jakarta Indonesia Islamic Syekh-Yusuf University Informatics Engineering Study Program Tangerang Indonesia Islamic Syekh-Yusuf University Civil Engineering Study Program Tangerang Indonesia

ISBN: (纸本)9798350383010

The patient's infusion fluid will only be changed if the nurse changes it or based on information from the patient's family. The research method used in terms of fluid volume utilizes the function of the Arduino microcontroller as the brain, the load cell sensor as an infusion fluid weight detector connected to the IoT, fuzzy logic calculations on the infusion volume weight measuring device in line with real-time decision-making when reading gram weight changes with sensors, and the system development method using a prototype model. The test results of three infusion bottles containing mineral water with a liquid volume of 500 ml and a load cell sensor as an infusion weight detector can be accepted by the Arduino Wemos D1 as a load cell sensor processing component. The infusion liquid weight data is uploaded to the MySQL database, and a notification is sent and displayed on the smartphone when the infusion volume reaches 12% of its weight. The results of this study indicate that the design of tools connected to applications on smartphones can work well and facilitate the process of monitoring infusions for patients in real-time © 2024 IEEE.

关键词： Smartphones

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Decentralized Edge-Based Detection of Label Flipping Attacks in Federated Learning 17th

Decentralized Edge-Based Detection of Label Flipping Attack...

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17th International Conference on Computational Intelligence in Security for Information systems, CISIS 2024 and the 15th International Conference on EUropean Transnational Education, ICEUTE 2024

作者： AlOtaibi, Nourah Felemban, Muhamad Mahmood, Sajjad Information and Computer Science Department KFUPM Dhahran Saudi Arabia Dammam Saudi Arabia Computer Engineering Department KFUPM Dhahran Saudi Arabia Interdisciplinary Research Center for Intelligent Secure Systems Dhahran Saudi Arabia

ISBN: (纸本)9783031750151

Federated learning (FL) enhances data privacy by enabling decentralized model training without sharing local data. However, FL is vulnerable to Label-Flipping-Attacks (LFA), where malicious clients flip data labels. Traditionally, cloud-centric centralized defenses against LFA pose security and efficiency challenges. We propose a novel edge-based decentralized LFA detection method using edge servers for efficient detection. The proposed method considers the overall and class-wise accuracy in identifying suspicious clients. Initially, we adopt a strict zero-tolerance approach by excluding the entire update from detected malicious clients. We then experiment with four aggregation techniques-subtracting, masking, clipping, and reweighting–to handle the malicious parts of updates by focusing on the final layer neurons corresponding to specific classes. Experiments using three datasets demonstrate the effectiveness, robustness, and efficiency of our method, showing improved model performance and reduced latency under adversarial conditions. This approach improves the security and reliability of FL systems while maintaining data privacy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Federated learning

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Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach

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Transportation Research Procedia 2025年 84卷 472-479页

作者： Haitham Saleh Mohammed Algafri Anas Alghazi Khaled Al-Shareef Yasser Almoghathawi Industrial and Systems Engineering Department Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum and Minerals Dhahran 31261 Kingdom of Saudi Arabia Industrial and Systems Engineering Department Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Dhahran 31261 Kingdom of Saudi Arabia

The shift towards electrical transportation system has the promise to decrease greenhouse gas emissions and reinforce sustainability. With the expected rise in electric vehicle (EV) usage in recent years, it becomes critical to develop a charging station infrastructure to ensure the drivers comfortability and optimal performance for EVs. This research recommends that EV drivers need to consider using the combination of the BWM and TOPSIS to select the most appropriate nearby charging stations based on their personal preferences and specific situations. The principal goal of the study is to improve the process of choosing charging stations based on the drivers’ preferences. By comparing criteria weights and evaluating scores for all nearby charging stations to the drivers. This approach endeavors to offer a personalized selection process by integrating both the prevailing data and the user’s unique preferences.

关键词： best-worst-method TOPSIS ranking charging stations charging infrastructure

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