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determinants of customer value at department stores in Taiwan: An application of fuzzy AHP

Journal of Intelligent and Fuzzy Systems 2023年第6期44卷 9073-9089页

作者： ding, Ji-Feng Weng, Ju-Hui Chou, Chien-Chang Department of Aviation and Maritime Transportation Management Chang Jung Christian University Tainan City Taiwan The Ph.D. Program in Business and Operations Management Chang Jung Christian University Tainan City Taiwan Department of Shipping Technology National Kaohsiung University of Science and Technology Kaohsiung Taiwan

Evaluating the factors affecting customer value in department stores will shed light on the motivations of customers when choosing department stores, which will help department stores to improve their business performance and competitiveness. This paper applies the fuzzy Analytic Hierarchy Process (AHP) method to empirically analyze the determinants of customer value at department stores in Taiwan. This study first found the major factors influencing customer value at department stores in Taiwan through a review of the literature and expert interviews, and these factors consisted of four evaluation dimensions and 20 evaluation criteria. An empirical investigation was then conducted through an AHP expert questionnaire survey. The main findings of this paper were as follows: (1) 'physical environment' was the most important evaluation dimension for customer value at department stores in Taiwan. (2) The four leading factors influencing customer value in department stores were 'roomy and comfortable space,' 'responsive customer service,' 'planning of lines of movement at counters,' and 'parking area and facilities.' This study also performed further discussion of the four evaluation criteria as a reference for department stores that wish to raise their competitiveness. © 2023 - IOS Press. All rights reserved.

关键词： Analytic hierarchy process

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A Blind Signature Scheme Based on ElGamal Signature Scheme

A Blind Signature Scheme Based on ElGamal Signature Scheme

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2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Hwang, Min-Shiang Chang, Yung-Ling Wu, Chia-Chun Yang, Cheng-Ying Dept. of CS and IE Fintech and Blockchain Research Center Asia University Taichung Taiwan The Ph.D. Program in AI Asia University Taichung Taiwan Dept. of IE and Management National Quemoy University Kinmen Taiwan Dept. of Computer Science University of Taipei Taipei Taiwan

Anonymous property is a fundamental right for legitimate customers when he/she was shopping. But it could be misused by criminals. In this paper, we will propose an efficient and new blind signature (BS). The proposed... 详细信息

ISBN: (纸本)9798350389210

关键词： Authentication Protocol

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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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Effects of an automated programming assessment system on the learning performances of experienced and novice learners

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Interactive Learning Environments 2023年第8期31卷 5347-5363页

作者： Cheng, Li-Chen Li, Wei Tseng, Judy C. R. Department of Information and Finance Management National Taipei University of Technology Taipei Taiwan STEM Education Research Center Wenzhou University Zhejiang Province Wenzhou China Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are submitted. It also presents an analytical dashboard as a competition mechanism for students to visualize their learning performance and compare their performance with peers. By incorporating APAMP into programming courses, students can master programming skills through repeated practice, and their enthusiasm for learning programming can also be encouraged by peer competition. To evaluate the effects of APAMP on the learning performance of students with programming language learning and novice students, a quasi-experiment was conducted in a high school. The experimental results showed that the learning achievement of the two groups of students improved significantly. Moreover, the learning attitude of students in the experienced group improved significantly, with the experienced students benefiting more from the system than the novice students. In fact, the novice students showed a significant decline in learning attitude and learning motivation, which was contrary to our intuition. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： automated programming assessment systems learning performance mastery learning peer competition programming instruction

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Assessment of key risk factors in the cold chain logistics operations of container carriers using best worst method

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International Journal of Refrigeration 2023年 153卷 116-126页

作者： ding, Ji-Feng Weng, Ju-Hui Chou, Chien-Chang Department of Aviation and Maritime Transportation Management Chang Jung Christian University Tainan71101 Taiwan Ph.D. Program in Business and Operations Management Chang Jung Christian University Tainan71101 Taiwan Department of Shipping Technology National Kaohsiung University of Science and Technology Kaohsiung80543 Taiwan

Given that reefer containers are highly dependent on their temperature control function, container carriers must pay particular attention to the risks occurring during cold chain logistics. Assessment of cold chain safety risks can therefore reduce chance of accidents and concern for product damage. The goal of this study was to use the best worst method (BWM) to assess key risk factors in container carriers' cold chain logistics operations. After gathering relevant information from the literature and conducting expert interviews, this study preliminarily determined risk factors affecting container carriers' cold chain logistics operations, and obtained 15 risk factors in 3 risk assessment aspects. A BWM model was then developed and tested using empirical data from a questionnaire survey of experts. The results indicated that (1) the "shipper risk" aspect is the most important risk link for container carriers' cold chain logistics;(2) the 6 key risk factors with the greatest effect on container carriers' cold chain logistics are "excessively long container loading time," "insufficient pre-cooling of goods," "poor or improper product packaging," "dockside or shipboard power supply system malfunction," "improper cargo stacking," and "human error affecting temperature settings." As a reference for container carriers engaging in cold chain logistics, this study also suggests risk management strategies intended to enhance cold chain safety and performance. © 2023

关键词： Risk assessment

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MontageNet: Annotated dataset of Furniture Components in Real-World Images 5

MontageNet: Annotated Dataset of Furniture Components in Rea...

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5th ACM International Conference on Multimedia in Asia, MMAsia 2023

作者： Fang, Iuan Kai Zhang, Bo Hao Liu, Te Lun Tan, Hao Chen, Wei Syun Lee, Che Rung International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu City Taiwan Institute of Information Systems and Applications National Tsing Hua University Hsinchu City Taiwan Department of Computer Science National Tsing Hua University Hsinchu City Taiwan

ISBN: (纸本)9798400702051

Indoor understanding is currently a topic that is widely studied in the field of machine learning. Furniture is the most common object in indoor scenes, just as various vehicles are most commonly seen in street scenes. Any object is made up of a combination of functional components. Functional component dismantling and reassembly is an important development for industrial manufacturing to improve efficiency and reduce costs. In the context of understanding indoor scenes, we focus on building a dataset that uses real-world furniture images as part labels. Building a large-scale furniture dataset is very challenging, first of all, the existing dataset has too few real images of furniture, mostly 3d model images, but the diversity of furniture in the real world far exceeds that of 3d models, and real images help improve the calculation speed of model training. Most of the published furniture data is poorly aligned with the annotation data, and even fewer materials perform component segmentation labeling using real furniture images. MontageNet has become a rich resource for part-level 3d shape analysis, semantic understanding, instance segmentation and 3d reconstruction, and other research. Our accompanying empirical studies provide an in-depth analysis of dataset characteristics and performance evaluation of several state-of-the-art methods against our benchmarks. © 2023 Copyright held by the owner/author(s).

关键词： Semantics

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Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation 41

Understanding Server-Assisted Federated Learning in the Pres...

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41st International Conference on Machine Learning, ICML 2024

作者： Yang, Haibo Qiu, Peiwen Khanduri, Prashant Fang, Minghong Liu, Jia Department of Computing and Information Sciences Ph.D. Rochester Institute of Technology RochesterNY United States Department of Electrical and Computer Engineering The Ohio State University ColumbusOH United States Department of Computer Science Wayne State University DetroitMI United States Department of Computer Science and Engineering University of Louisville LouisvilleKY United States

Existing works in federated learning (FL) often assume either full client or uniformly distributed client participation. However, in reality, some clients may never participate in FL training (aka incomplete client participation) due to various system heterogeneity factors. A popular solution is the server-assisted federated learning (SA-FL) framework, where the server uses an auxiliary dataset. despite empirical evidence of SA-FL's effectiveness in addressing incomplete client participation, theoretical understanding of SA-FL is lacking. Furthermore, the effects of incomplete client participation in conventional FL are poorly understood. This motivates us to rigorously investigate SA-FL. Toward this end, we first show that conventional FL is not PAC-learnable under incomplete client participation in the worst case. Then, we show that the PAC-learnability of FL with incomplete client participation can indeed be revived by SA-FL, which theoretically justifies the use of SA-FL for the first time. Lastly, to provide practical guidance for SA-FL training under incomplete client participation, we propose the SAFARI (server-assisted federated averaging) algorithm that enjoys the same linear convergence speedup guarantees as classic FL with ideal client participation assumptions, offering the first SA-FL algorithm with convergence guarantee. Extensive experiments on different datasets show SAFARI significantly improves the performance under incomplete client participation. Copyright 2024 by the author(s)

关键词： Federated learning

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Students Learning Performance and Engagement in a Visual programming Environment

Students Learning Performance and Engagement in a Visual Pro...

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Proceedings of the 6th International Conference on Innovative Technologies and Learning, ICITL 2023

作者： Wen, Fu-Hsiang Wu, Tienhua Hsu, Wei-Chih Ph.D. Program in Engineering Science and Technology College of Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Management Air Force Institute of Technology Kaohsiung Taiwan Department of Computer and Communication Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

ISBN: (纸本)9783031401121

This study employed a quasi-experimental method to explore differences in students’ learning performance and engagement between visual and textual language programming environments. Specifically, this study examined how strongly engagement dimensions affect participants’ learning achievement in a Scratch experimental setting. One hundred and thirty-two undergraduate students participated. The results revealed that participants with Scratch intervention outperformed those with text-based language instructions in terms of performance and behavioral, emotional, cognitive, and agentic engagement. The findings indicated that engagement significantly predicted student academic success in a visual learning environment. This study concluded that visual programming tools such as Scratch help novices engaged and effectively learn core aspects of programming concepts. Additionally, student engagement deepens an understanding of predictions of programmers’ behaviors and achievements and mechanisms behind the effectiveness of visualization intervention. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Necessity of Self-explainability in AI: Insights from the Existing Social Projects

Necessity of Self-explainability in AI: Insights from the Ex...

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International Conference on Next Generation Systems and Networks, BITS EEE CON 2022

作者： Jadhav, Mayur K. Laddha, Shilpa S. Kabra, Sanchit M. Ph.D. Student Department of Computer Science Engineering Government College of Engineering Maharashtra Chh. Sambhajinagar India Head of Department Information Technology Government College of Engineering Maharashtra Chh. Sambhajinagar India Computer Science Engineering BITs Pilani India

ISBN: (纸本)9789819904822

Self-explanatory artificial intelligence has lately gained prominence as researchers and practitioners strive to make their methodologies more understandable. It is not contentious to assert that researching how individuals explain to one another may be a useful beginning point for explanation in artificial intelligence, given that the majority of this research has focused on publicly explaining decisions or actions to a human observer. However, it is reasonable to say that the vast bulk of self-explanatory artificial intelligence research is based solely on the researchers’ subjective opinions of what constitutes a "good" explanation. Extensive and essential study in science and technology has been conducted on the definition, creation, selection, assessment, and presentation of explanations by humans. This study contends that people use certain cognitive biases and social expectations in the explanation process. This paper covers relevant studies from several fields and makes the case that self-explainable artificial intelligence should expand on some current research. It highlights several key results and explores how they may be combined with research on self-explainable artificial intelligence. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Explainability Explanation Interpretability Self-éxplainable AI Transparency

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danceOnStage: positioning training of dancing stage performance in virtual reality 6

DanceOnStage: positioning training of dancing stage performa...

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6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Wu, Ssu-Hsuan Wang, Kai-Ting Chiang, Chia-Chen Chang, Hsin-Yu Yeh, Cheng-Yun Hu, Min-Chun National Tsing Hua University International Intercollegiate Ph.D.Program Hsinchu Taiwan National Tsing Hua University Master of Computer Science Program Hsinchu Taiwan National Tsing Hua University Interdisciplinary Program of Electrical Engineering and Computer Science Hsinchu Taiwan National Tsing Hua University Interdisciplinary Program of Technology and Art Hsinchu Taiwan National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9798350372021

This research aims to create a virtual reality-based practice system that simulates real-stage performance environments, assisting amateur dancers in overcoming stage fright and practicing group choreography that is difficult to achieve during individual practice. In this study, users can engage in performance simulations within the created system using the HTC VIVE virtual reality device. Within the system, we have developed a virtual stage space system that only requires a 2m x 3.5m physical area to simulate a large virtual stage experience. Users can also simulate choreographic positioning with virtual dance partners within this system, providing amateur dancers with group dance rehearsal practice opportunities that are not feasible during solo practice. Additionally, by creating three different audience modes, we aim to help users simulate various audience scenarios they may encounter during a performance. The system includes a recording feature that captures users' simulated performances, allowing them to review their actions and receive feedback after practice. © 2024 IEEE.

关键词： Virtual reality

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