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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Prasetyo, Yogi Tri Susanto, Krisna Chandra Asiddao, Sheree Mae A. Benito, Omar Paolo Liao, Jui-Hao Young, Michael Nayat Persada, Satria Fadil Nadlifatin, Reny Yuan Ze University International Bachelor Program in Engineering Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

Coffee has become an important part of any individual nowadays. The purpose of this study is to determine the marketing strategy for the coffee shops. This study uses several coffee attributes such as coffee type, sugar level, temperature, coffee beans, and frappe were analyzed by utilizing a conjoint approach. A questionnaire was utilized for this research which collected 500 respondents. Conjoint analysis showed that sugar level was the most important coffee attribute (43.013%), followed by temperature (37.75%), coffee type (14.701%), coffee beans (2.601%), and frappe (1.936%). Interestingly, cold cappuccino with Arabica coffee bean, less sugar, and with frappe was found to be the best combination for marketing strategy. This study can be utilized for developing the marketing strategy of coffee shops. By Understanding the relationship between the factors, coffee shops can find out which factors influence customers the most. © 2023 IEEE.

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Data-Driven Approaches to Detecting Misdeliveries in Truck Logistics using GPS Data

Data-Driven Approaches to Detecting Misdeliveries in Truck L...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Hidaka, Ayumu Shin, Ryota Tsuchiya, Atsushi Nakabayashi, Norihiko Okada, Yukihiko Shida, Yohei University of Tsukuba Master's Program in Service Engineering Tsukuba Japan University of Tsukuba Doctoral Programs in Policy and Planning Sciences Tsukuba Japan Yamato Transport Co. Ltd. Minato Japan University of Tsukuba Yamato Transport Co.Ltd. Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Center for Artificial Intelligence Research Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Japan

ISBN: (纸本)9798350324457

Misdelivery in logistic services leads to increased costs and degradation of packages. For deliveries using trucks, erroneous deliveries are prevented by checking identification numbers on packages as the packages pass through delivery points. In recent years, it has become possible to monitor real-time location by attaching GPS receivers to packages, but few concrete efforts have been made to detect anomalies using truck transport data. This study introduces a basic framework for the detection of misdeliveries and a summary of the problems in actual truck misdelivery using special medical supply delivery data provided by a major Japanese logistics company. It is shown that the system can detect erroneous deliveries with high accuracy, even for actual delivery data with coarse resolution owing to the cost of installing the equipment. This study has the potential not only to improve logistics and reduce costs, but also to solve various social problems such as driver shortages. © 2023 IEEE.

关键词： anomaly detection GPS misdelivery trajectory method transport data truck logistics

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Using SYCLomatic to Migrate CUDA Code to oneAPI Adapting NVIDIA GPU

Using SYCLomatic to Migrate CUDA Code to oneAPI Adapting NVI...

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IEEE International Conference on Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS)

作者： Wentao Liang Norihisa Fujita Ryohei Kobayashi Taisuke Boku Master's Program in Computer Science Degree Program in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Center for Computational Sciences University of Tsukuba

ISBN: (数字)9798350383454

ISBN: (纸本)9798350383461

Nowadays, the use of accelerators in high performance computing has become more common than ever before. The most used accelerators must be the Graphics Processing Unit (GPU). It has emerged as an important component in most of the parallel computing scenarios, surpassing the capabilities of the traditional Central Processing Unit (CPU) in perspective of both performance and energy efficiency.

关键词： Codes Conferences High performance computing Graphics processing units Cluster computing Parallel processing Energy efficiency Central Processing Unit

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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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Influence of road environmental elements on pedestrian and cyclist road crossing behaviour

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SICE Journal of Control, Measurement, and System Integration 2021年第2期14卷 50-58页

作者： Saito, Yuichi Kochi, Fuma Itoh, Makoto Fushima, Takesato Sugano, Takashi Yamamoto, Yasunori Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan Master's Program in Risk and Resilience Engineering University of Tsukuba Tsukuba Japan Mazda Motor Corporation Hiroshima Japan

The pedestrian and cyclist-related accident fatality rate is higher than that of other traffic accidents. One of the pedestrian behaviours that leads to traffic accidents is the act of moving rapidly onto the road from a blind spot without warning. Expert drivers practice hazard-anticipatory driving and will naturally seek to reduce uncertainty by attempting to fit their current driving context into a pre-existing category. Risk management is the process of identifying hazards and assessing and controlling risks to attain safety. The purpose of this study was to evaluate the influence that driving context-altering road environmental elements exert on the road-crossing behaviour of pedestrians and cyclists. Thus, this study attempted to identify covert hazards (obscured pedestrians and cyclists). A logistic regression analysis was employed along with data from the near-miss incident database, in which approximately 140,000 near-crash-relevant events were registered in 2017. By using the logistic regression analysis along with the annotations recorded in the database, we constructed a predictive model to identify covert hazards. The study demonstrated the feasibility of using a set of environmental elements that shape the driving context to construct a predictive model that identifies covert hazards. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Database systems

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Determination of the Factors Influencing the Response Efficacy of Filipinos Under Typhoon Conson 2021 (Jolina)

Determination of the Factors Influencing the Response Effica...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Prasetyo, Yogi Tri Benito, Omar Paolo Liao, Jui-Hao Ismail, Nagib Gumasing, Ma. Janice J. Persada, Satria Fadil Nadlifatin, Reny International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapüa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

The Philippines is a country prone to natural disasters, such as typhoons. The present study aimed to investigate the response efficacy of the Filipino population under Typhoon Conson 2021, also known as Typhoon Jolina. A stepwise multiple linear regression was utilized to assess a variety of latent variables in the Protection Motivation Theory, such as perceived severity, self-efficacy, response efficacy, and response cost, along with an additional latent variable, geographical perspective. A sum of 388 participants voluntarily participated in a self-administered survey that consisted of 50 questions. It was found that the independent variables, such as geographical perspective, perceived severity, and self-efficacy were proven to have predictive ability on the dependent variable, response efficacy. The findings of this study could serve as a valuable guideline for planners and future researchers seeking to improve preparedness and response efficacy for typhoons. Furthermore, this study can also be employed by local government authorities to establish policies and strategies aimed at natural disaster risk protection. © 2023 IEEE.

关键词： Natural disaster protection motivation theory response efficacy stepwise multiple linear regression typhoon

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Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music

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IEEE/ACM Transactions on Audio Speech and Language Processing 2023年 31卷 2824-2835页

作者： Chiu, Ching-Yu Muller, Meinard Davies, Matthew E. P. Su, Alvin Wen-Yu Yang, Yi-Hsuan National Cheng Kung University Academia Sinica Graduate Program of Multimedia Systems and Intelligent Computing Tainan701401 Taiwan International Audio Laboratories Erlangen Erlangen91058 Germany University of Coimbra Department of Informatics Engineering Centre for Informatics and Systems Coimbra3004-531 Portugal National Cheng Kung University Department of Computer Science and Information Engineering Tainan701401 Taiwan Taiwan AI Labs Yating Music Team Taipei103622 Taiwan Academia Sinica Research Center for IT Innovation Taipei11529 Taiwan

To model the periodicity of beats, state-of-the-art beat tracking systems use 'post-processing trackers' (PPTs) that rely on several empirically determined global assumptions for tempo transition, which work well for music with a steady tempo. For expressive classical music, however, these assumptions can be too rigid. With two large datasets of Western classical piano music, namely the Aligned Scores and Performances (ASAP) dataset and a dataset of Chopin's Mazurkas (Maz-5), we report on experiments showing the failure of existing PPTs to cope with local tempo changes, thus calling for new methods. In this paper, we propose a new local periodicity-based PPT, called predominant local pulse-based dynamic programming (PLPDP) tracking, that allows for more flexible tempo transitions. Specifically, the new PPT incorporates a method called 'predominant local pulses' (PLP) in combination with a dynamic programming (DP) component to jointly consider the locally detected periodicity and beat activation strength at each time instant. Accordingly, PLPDP accounts for the local periodicity, rather than relying on a global tempo assumption. Compared to existing PPTs, PLPDP particularly enhances the recall values at the cost of a lower precision, resulting in an overall improvement of F1-score for beat tracking in ASAP (from 0.473 to 0.493) and Maz-5 (from 0.595 to 0.838). © 2014 IEEE.

关键词： Hidden Markov models

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Mental Status Identification for Infertile Patients Using Artificial Intelligence Models 14th

Mental Status Identification for Infertile Patients Using Ar...

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14th International Conference on Frontier Computing, FC 2024

作者： Hsu, Hao-Siang Wang, Jong-Yi Chiou, Hai-Chi Wu, Fu-Hsing Lin, Chuen-Horng Chan, Yung‑Kuan Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung404336 Taiwan Department of Health Services Administration China Medical University Taichung406040 Taiwan Bachelor Degree Program of Artificial Intelligence National Taichung University of Science and Technology Taichung404336 Taiwan Department of Management Information Systems National Chung-Hsing University Taichung402202 Taiwan

ISBN: (纸本)9789819623945

Infertile patients may be a high-risk group of mental disorder. The precise identification of the mental status of infertile patients can provide decision support to healthcare professionals and may be helpful in providing preventive measures accordingly. Rare studies focused on the mental status identification using artificial intelligence (AI) models for infertile people. This study aimed to precisely identify the mental status (anxiety and depression) of infertile patients using three AI models, the XGBoost, decision tree, and stacking models. The dataset, retrieved from a structured questionnaire survey in 2011, which included 400 infertility outpatients seeking reproductive treatments at three teaching hospitals in Taiwan was adopted for training and testing AI models. Aforementioned AI models were designed and reached identification performances of accuracy, precision, recall and area under ROC curve (AUC) equaling 0.75–0.82, 0.70–0.80, 0.64–0.72, and 0.64–0.72, respectively. The XGBoost model (accuracy = 0.82, precision = 0.80, recall = 0.72, and AUC = 0.72) outperformed or equaled the decision tree and stacking models in terms of accuracy, precision, recall, and AUC values. Designed AI models for mental status identification can be integrated into the clinical decision support system (CDSS) to provide the anxiety and depression group automatically. Accordingly, the worsening of infertility-related anxiety and depression can be prevented. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： artificial intelligence infertile patients Mental status identification stacking model XGBoost

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DEEP-LEARNING-BASED MAGNETIC RESONANCE SIMULTANEOUS MULTISLICE IMAGING USING HOLOGRAPHIC IMAGE DECODING

arXiv

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arXiv 2024年

作者： Ito, Satoshi Sato, Yuki Endo, Naoya Ouchi, Shohei Graduate Program in Information Electrical and Electronic Systems Engineering Utsunomiya University Japan Department of Innovative Electrical and Electronic Engineering National Institute of Technology Oyama Japan

Simultaneous multislice (SMS) imaging is a one of the acceleration technique of magnetic resonance imaging. SMS requires accurate sensitivity distributions in the slice plane for each receiving coil. This requirement is difficult to satisfy in practice, limiting the applications of this imaging technique. Here, images are reconstructed by applying deep learning and amplitude modulation to each slice image. Simulation experiments show that image reconstruction can be achieved for both real- and complex-valued images. Image quality tends to decrease with increasing number of simultaneously acquired images. It is also shown that a larger difference in the phase modulation coefficients between slices tends to increase the quality of the reconstructed images. Simulation experiments and initial MR imaging experiments show promising results for this method. Copyright © 2024, The Authors. All rights reserved.

关键词： Holography

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Extraction of c- F os Protein Regions from Mouse Brain Slice Images using Multi-channelization, 1 x 1 Convolution and U -Net 13

Extraction of c- F os Protein Regions from Mouse Brain Slice...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Wang, Ziyue Okamura, Hibiki Luo, Shijie Hayashi, Yu Takizawa, Hotaka Master's Program in Computer Science University of Tsukuba Tsukuba Japan International Institute for Integrative Sleep Medicine University of Tsukuba Ph.D. Program in Humanics Tsukuba Japan International Institute for Integrative Sleep Medicine University of Tsukuba Tsukuba Japan Institute of Systems and Information Engineering Academic Computing and Communications Center University of Tsukuba Tsukuba Japan

ISBN: (纸本)9798350373332

This study proposed a novel extraction method of c-Fos protein regions in DAB(3,3'-diaminobenzidine)-stained mouse brain slice images using the U-Net model combined with the multi-channelization and 1×1 convolution techniques. Our U-Net m odel, called 1× 1 conv U-Net, was applied to three DAB- strainedmouse slice images whose resolutions were 1000x1000 pixels. The experimental results demonstrated that the 1×1 conv U-Net outperformed the conventional U-Net. © 2024 IEEE.

关键词： Mammals

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