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What attracts young talent from Taiwan to start businesses in mainland China? A fuzzy analytic hierarchy process study

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technology Analysis and Strategic management 2023年第4期35卷 394-408页

作者： Chang, Yao-Wen Lai, Yi-Hsuan Ph.D. Program of Technology Management Chung Hua University Hsinchu Taiwan Department of Industrial Management Chung Hua University Hsinchu Taiwan

Innovation and entrepreneurship drive technological evolution, social progress, and economic development. With technological competition and a stagnant economy, innovation and entrepreneurship appear to be promising approaches to growing a country’s economy. Accordingly, in this study, we identified factors influencing the entrepreneurial process by systematically integrating the opinions of 43 experts into 5 aspects and 21 key indicators by using the fuzzy analytic hierarchy process. We focused on young Taiwanese entrepreneurs starting their businesses in China. The results revealed that marketing and business development, venture fund support, investment financing, interpersonal resources and convenience administrative service were exerted the greatest influence on the entrepreneurs’ decision-making process. The findings can serve as a reference for fostering a more entrepreneur-friendly environment, especially in China, whose government has actively encouraged innovation and entrepreneurship by, in part, attracting young talents from Taiwan. These results can also provide a reference for scholars interested in the field of youth entrepreneurship research. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： cross-strait youth entrepreneurship base Entrepreneurial ecosystem fuzzy analytic hierarchy process mainland China

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Boost dC-dC converter with regenerative snubber

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Energy Reports 2024年 12卷 798-819页

作者： Yau, Yeu-Torng Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

To accommodate the wide range of input voltages supplied by redundant batteries and ensure an adequate hold-up time for communication systems during utility power failures, power supplies used in 5 G base stations typically include a front-end boost converter as the first stage and a second-stage isolated converter. In this paper, a new topology for a regenerative snubber in boost converters is proposed. Compared to traditional active or passive snubber topologies, the proposed snubber offers the advantages of having fewer components and occupying less space. Moreover, it does not require additional active devices and can be driven by widely-used commercial PWM control integrated circuits, achieving a higher level of cost-effectiveness and offering increased industrial applications. The final prototype of a power supply for a networking switch hub (as used in 5 G base stations) is fabricated to demonstrate the feasibility of the proposed method. © 2024 The Authors

关键词： Topology

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Enhanced deep Learning Model Performance in 3d Multimodal Brain Tumor Segmentation with Gabor Filter 10

Enhanced Deep Learning Model Performance in 3D Multimodal Br...

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10th International Conference on Applied System Innovation, ICASI 2024

作者： Ahmad, Nisar Chen, Yao-Tien International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan

ISBN: (纸本)9798350394924

Medical image segmentation plays a crucial role in identifying and analyzing anatomical structures in medical images. This requires an accurate medical segmentation tool to delineate and quantitatively analyze the target regions, diagnose any abnormality, and assist in treatment planning. deep learning approaches have emerged as a promising solution for automating medical segmentation. However, challenges arise when dealing with the complex shapes and spatial variations of some target regions, especially in 3d MRI scans. To deal with such transformations, specific techniques are required to properly analyze and preprocess the dataset and perform image filtering to provide better features for improved prediction performance of deep learning architectures. This study focuses on improving brain tumor segmentation in multimodal 3d MRI images. We observed significant improvements in multimodal brain tumor segmentation results (accuracy, IoU, and mIoU) using an optimized 3d Gabor filter, which helps extract meaningful features. Multichannel input images were preprocessed to remove noise and select an appropriate resolution to reduce computational complexity. An improvement in mean Intersection over Union (mIoU) from 0.714 to 0.804 and accuracy from 0.982 to 0.991 were achieved, which shows a major improvement. This work contributes to the field of medical image segmentation by offering an improved and efficient approach for brain tumor analysis in 3d MRI scans, potentially aiding in diagnosis and treatment planning. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Integration of the PEMFC with a hydrogen production device adopting sodium borohydride and metal cobalt catalyst

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International Journal of Hydrogen Energy 2024年第PartB期52卷 905-916页

作者： Chang, Pai-Chun Lai, Jyun-Lin Huang, Ching-His Kuan, Yean-der Department of Refrigeration and Air Conditioning and Energy Engineering National Chin-Yi University of Technology 411 Taichung Taiwan Ph.D. Program Intelligent Machinery and Smart Manufacturing National Chin-Yi University of Technology 411 Taichung Taiwan

Hydrolysis technology that releases hydrogen from chemical hydrogen storage materials is a method to produce hydrogen. Hydrogen storage has excellent development potential and is also one of the sources of large amounts of hydrogen. A sodium borohydride hydrogen production experiment was carried out based on steam hydrolysis technology. The system reaction tank is divided into a water-carrying bed and a catalyst bed. A mixed aqueous solution with a concentration of 1 wt% sodium hydroxide (NaOH) + 10 wt% sodium borohydride (NaBH4) was used for the hydrogen production reaction test. These experiments determined the appropriate aqueous solution and water vapor combination, and optimal parameters for hydrogen production. The hydrogen production catalyst powder, blend ratio, different steel ball ratios, and ball milling time at the steam hydrogen production end will all affect the powder's fineness and hydrogen production stability. Under catalyst temperature control, the by-products solidify at a specific temperature, which affects the gas passage and causes blockage. Increasing the hydrogen production in an aqueous solution requires a Co2+/Al2O3 catalyst, or a temperature control method to catalyze hydrogen production to obtain stable hydrogen production suitable for emergencies without hydrogen storage containers. This experiment built a hydrogen production system combined with a fuel cell for power generation testing. The test process and results indicate whether the aqueous solution and steam technology can be an effective solution when the hydrolysis hydrogen production technology is matched. © 2023 Hydrogen Energy Publications LLC

关键词： Hydrogen production

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Boost dC-dC Converter with Non-dissipative Snubber

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IEEJ Transactions on Electrical and Electronic Engineering 2024年第11期19卷 1858-1878页

作者： Yau, Yeu-Torng Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung No.57 Sec. 2 Zhongshan Rd. Taiping Dist Taichung41170 Taiwan

To provide a hold-up time function in dC-dC supplies for cell site stations or data centers, using a boost converter with a bulk output capacitor as a front-end converter stage is a simple and highly cost-effective solution. However, conventional boost converters with a hard-switching operation result in low conversion efficiency and increased electromagnetic interference emissions. In this paper, a boost converter with a new non-dissipative snubber is proposed that only requires two additional diodes, an inductor, and a multilayer ceramic capacitor. The main feature of the proposed snubber is that the components are not located on the main power processing path. This means they only require low ratings, improving cost-effectiveness. A prototype converter is analyzed, realized, and applied to a 300 W redundant dC-dC power supply module for a 5G cell base station. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

关键词： Boost converter

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design and fabrication of composite current collector used in 2-cell stacks for portable power generator

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International Journal of Hydrogen Energy 2024年 54卷 294-304页

作者： Wang, Chong-Kai Kuan, Yean-der Ph.D. Program Intelligent Machinery and Smart Manufacturing National Chin-Yi University of Technology Taichung411 Taiwan Department of Refrigeration and Air Conditioning and Energy Engineering National Chin-Yi University of Technology Taichung411 Taiwan

This study designed a planar carbon fiber composite collector plate with excellent conductivity and mechanical strength for use in the proton exchange membrane fuel cell (PEMFC). The collector plate is made of phenolic resin mixed with conductive particles such as graphite powder, and coated onto carbon fiber cloth. After the solvent is allowed to evaporate, the prepreg is cut and stacked layer by layer into a mold for the heat pressing process at 150 °C. The resin in the carbon fiber prepreg cloth is cured into a carbon fiber composite board. A computer numerical control (CNC) engraving machine was used to engrave the carbon fiber composite board into the current collector shape. The carbon fiber composite current collectors were placed into a high temperature furnace for the carbonization process. The resin between the carbon fibers is removed by the high temperature to increase conductivity. The carbon fiber composite collectors were assessed for conductivity, mechanical strength, and performance. Afterwards, a planar two cell fuel cell stack was assembled for testing performance and stability. A printed circuit board (PCB) was used to design the circuit and the planar two cell fuel cell module made using the heat pressing process. The planar two cell module was combined with a small hydrogen storage tank to form a portable power generation device. © 2023 Hydrogen Energy Publications LLC

关键词： Carbon fibers

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

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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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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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Machine-learning-based sampling inspection under OQC capacity for real-time quality monitoring in the TFT-LCd industry

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International Journal of Production Research 2025年第6期63卷 2090-2113页

作者： Shih, Ming-Sung Chen, James C. Chen, Tzu-Li Chiang, Chih-Hsiung Hsu, Ching-Lan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan Graduate Institute of Intelligent Manufacturing Technology National Taiwan University of Science and Technology Taipei Taiwan Division of Quality Control AUO Corporation Taichung Taiwan

In the thin film transistor-liquid crystal display (TFT-LCd) industry, the competition is fierce, and the external failure cost is high. To improve the quality of released products, sampling inspection under outgoing quality control (OQC) is conducted before products are released. Owing to the variety and complexity of inspection items, the task must be carried out manually while realising automation is difficult. Traditional random sampling inspection is limited by sampling quantity, manpower, and material resources. To effectively improve acceptable quality levels, this paper proposes a quality predictive monitoring framework tailored to the production and inspection characteristics of the TFT-LCd industry. This framework includes real-time automatic quality monitoring based on an optimal machine learning prediction model with two-phase feature creation, and it also addresses OQC inspection capacity constraints. Experimental results show the prediction performance based on proposed model is better than the traditional random sampling process. In practice, superior average outgoing quality improves by more than 70% at the same sampling level. In addition, the features of the process can be further controlled and managed based on the prediction model to monitor the key parameters in real time and respond to abnormalities quickly, thereby further improving the quality of released products. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Liquid crystal displays

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Recommendation of Resource Allocation decision Based on Bipartite Graph Network Structure

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IEIE Transactions on Smart Processing and Computing 2025年第1期14卷 128-139页

作者： Pei, Wen Pan, Wen-An Huang, Jui-Chan College of Management Chung Hua University Hsinchu30012 Taiwan Ph.D Program of Management Chung Hua University Hsinchu30012 Taiwan Department of Industrial Engineering and Management National Kaohsiung University of Science and Technology Kaohsiung807618 Taiwan

In resource allocation decisions in business, fully understanding customers’ needs and preferences helps to maximise benefits. As a result, in the modern business environment, the design of customized recommendation systems has gained a lot of attention. To this end, the study designs a recommendation algorithm for resource allocation decision based on improved two-part graph network structure. In this algorithm, an improved K-means clustering algorithm is introduced to deeply mine potential information. The calculation of similarity between users is also optimised to assist the target user to find the real neighbouring users. The findings demonstrate that, in comparison to the other algorithms, the resource allocation recommendation algorithm based on improved bipartite graph suggested in the study has a greater hit rate. The hit rate of the suggested algorithm can reach 32.5% when the recommendation list length is 10, which is a 21.5% improvement over the collaborative filtering algorithm. The suggested algorithm’s popularity is only 39.1, which is 69.3 less than the collaborative filtering algorithm when the suggestion list length is 10. Furthermore, the suggested algorithm for resource allocation decision-making created by the research has a greater recommendation accuracy, more personalization, and diversity, as seen by the proposed algorithm’s mean Hamming distance of 0.976. Through an improved bipartite graph network, the algorithm can fully analyze the historical preference information of users, effectively capture the complex relationship between users and products, generate personalized recommendation lists, and improve user satisfaction and purchase conversion rates. It provides an effective recommendation role for resource allocation decisions in modern business and helps to create greater economic benefits. © 2025 Institute of Electronics Engineers of Korea. All rights reserved.

关键词： Collaborative filtering

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