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  1. No Access

    Chapter and Conference Paper

    Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-resolution Features and Terse Convolution for IoT-Based Intelligent Automated Systems

    We proposed two model compression methods by adjusting the structure of the deep network model, aiming to provide a small-sized model and realize the application requirement of edge computing. Edge Device has ...

    Pei-Ju Li, Lin-Yi Jiang, Ting-Yu Hu in Recent Challenges in Intelligent Informati… (2022)

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    Chapter and Conference Paper

    Vector Quantized Image-to-Image Translation

    Current image-to-image translation methods formulate the task with conditional generation models, leading to learning only the recolorization or regional changes as being constrained by the rich structural inf...

    Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng in Computer Vision – ECCV 2022 (2022)

  3. No Access

    Chapter and Conference Paper

    Exploring the Impact of Artificial Intelligence Learning Platforms on Interest in and Attitudes Toward Learning

    Artificial Intelligence (AI) learning technologies and research in deep learning are rapidly expanding, and there is a lack of AI learning platforms to support students in related courses. At present, an under...

    Hua-Xu Zhong, Chin-Feng Lai, Yu-Che Huang in Innovative Technologies and Learning (2021)

  4. Chapter and Conference Paper

    A Study of Green Printing Technology Application for Product Value-Added Design

    Nowadays, the trend of green environmental protection consumption has become an important issue for the public. When buying products, consumers will consider how to minimize the impact on the environment. From...

    Yu-Shi Huang, Jui-Hung Cheng, An-Jen Yang in Human Aspects of IT for the Aged Populatio… (2020)

  5. Chapter and Conference Paper

    A Study of the Rubber Mat Product Design for Electric Scooter

    Taiwan is one of the countries with the highest density of motorcycles in the world. However, under the trend of environmental protection awareness, more people are riding electric scooters. They like personal...

    An-Jen Yang, Jui-Hung Cheng, Yu-Shi Huang in Human Aspects of IT for the Aged Populatio… (2020)

  6. No Access

    Chapter and Conference Paper

    Learning Camera-Aware Noise Models

    Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications. While most previous works adopt statistical noise models, real-world noise is far more complicated ...

    Ke-Chi Chang, Ren Wang, Hung-** Lin, Yu-Lun Liu in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    Effect of Augmented Reality on Astronomical Observation Instruction

    Knowledge about astronomy is an important part of natural science; however, students taking the course of observing the outer space and stars cannot efficiently engage in the activity that poor learning outcom...

    Chia-Ling Chiang, Yu-Lin Lin, Han-Chieh Chao in Innovative Technologies and Learning (2019)

  8. Chapter and Conference Paper

    Research on Wearable Shop** Aid Device for Visually Impaired People

    This study explored the effect of three different shop** modes, namely shop** alone, shop** with a companion, and shop** using a shop** aid device, on the efficiency of in-store shop** and compared...

    Yu-Hsiu Hung, Chia-Hui Feng, Chia-Tzu Lin in Universal Access in Human-Computer Interac… (2019)

  9. Chapter and Conference Paper

    Relation Extraction in Knowledge Base Question Answering: From General-Domain to the Catering Industry

    Knowledge base question answering (KBQA) can be decomposed into entity linking and relation extraction. In KBQA relation extraction, the goal is to find the appropriate relation given the question and its link...

    Hung-Chen Chen, Zi-Yuan Chen, Sin-Yi Huang in HCI in Business, Government, and Organizat… (2018)

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    Chapter and Conference Paper

    Extending [K 1 , K 2 ] Anonymization of Shortest Paths for Social Networks

    Privacy is a great concern when information are published and shared. Privacy-preserving social network data publishing has been studied extensively in recent years. Early works had concentrated on protecting ...

    Yu-Chuan Tsai, Shyue-Liang Wang in Multidisciplinary Social Networks Research (2015)