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  1. No Access

    Chapter and Conference Paper

    Investigating the Mental Workload of Experiencing Virtual Reality on People with Mild Cognitive Impairment

    As the proportion of the aging population increases year by year, Taiwan is about to become a super-aging society. Among multiple problems faced by the elderly, dementia is an important but easy-to-be-neglecte...

    Pei-Fen Wu, Shao-Wei Yen, Kuang-Yi Fan in Human Aspects of IT for the Aged Population (2023)

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    Chapter and Conference Paper

    MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

    Develo** and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lac...

    Ruicheng Feng, Chongyi Li, Shangchen Zhou in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Types of Mobile Retail Consumers’ Shop** Behaviors from the Perspective of Time

    The aim of this research is to explore consumers’ shop** behavior on mobile apps and to mine different types of consumers. We have selected the mobile Taobao app as our research target and designed two simul...

    I-Chin Wu, Hsin-Kai Yu, Shao-I. Lien in HCI in Business, Government and Organizations (2023)

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    Chapter and Conference Paper

    A Robust Two Factor Authentication Scheme with Fine Grained Biometrics Verification

    The traditional account and password verification method has not only been inconducive to user experience but also security threats. Although biometrics improves the user experience, biometric data can be stol...

    Fang-Ting Wu, Shao-Wei Tung, Jheng-Jia Huang in New Trends in Computer Technologies and Ap… (2022)

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    Chapter and Conference Paper

    AO-AutoTrack: Anti-occlusion Real-Time UAV Tracking Based on Spatio-temporal Context

    Correlation filter (CF)-based methods have shown extraordinary performance in visual object tracking for unmanned aerial vehicle (UAV) applications, but target occlusion and loss is still an urgent problem to...

    Hongyu Chu, Kuisheng Liao, Yanhua Shao in Pattern Recognition and Computer Vision (2021)

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    Chapter and Conference Paper

    Prediction Traffic Flow with Combination Arima and PageRank

    Modern traffic network information is similar to the complex network structure in that the links between the sections are quite complex. Therefore, predicting the traffic flow between sections can effectively ...

    Cheng-fan Li, Jia-xin Huang, Shao-chun Wu in Smart Grid and Internet of Things (2020)

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    Chapter and Conference Paper

    Orientation-Aware Vehicle Re-Identification with Semantics-Guided Part Attention Network

    Vehicle re-identification (re-ID) focuses on matching images of the same vehicle across different cameras. It is fundamentally challenging because differences between vehicles are sometimes subtle. While sever...

    Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    A New Design of Online/Offline Signatures Based on Lattice

    With the rapid development of mobile internet, a large number of lightweight devices are widely used. Therefore, lightweight cryptographic primitives are urgently demanded. Among these primitives, online/offli...

    Mingmei Zheng, Shao-Jun Yang, Wei Wu in Information Security Practice and Experien… (2018)

  9. No Access

    Chapter and Conference Paper

    Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning

    Knowing the transcription factor binding sites (TFBSs) is essential for modeling the underlying binding mechanisms and follow-up cellular functions. Convolutional neural networks (CNNs) have outperformed metho...

    Fang **g, Shao-Wu Zhang, Zhen Cao in Bioinformatics Research and Applications (2018)

  10. No Access

    Chapter and Conference Paper

    An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base

    In order to solve the problems of poor portability, complex implementation, and low efficiency in the traditional parameter training of the Belief rule-base, an artificial bee colony algorithm combined with Ga...

    Man-Na Su, Zhi-Jian Fang, Shao-Zhen Ye, Ying-Jie Wu, Yang-Geng Fu in Big Data (2018)

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    Chapter and Conference Paper

    Linearly Homomorphic Signatures with Designated Entities

    As a kind of homomorphic signatures, linearly homomorphic signatures allow any entity to linearly combine the signed data and produce a valid signature of the new data. Motivated by the open problem given by R...

    Cheng-Jun Lin, **nyi Huang, Shitang Li in Information Security Practice and Experien… (2017)

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    Chapter and Conference Paper

    Efficient Network Structure of 5G Mobile Communications

    5G mobile communications requires system and network considerations from many aspects. Instead of high spectral efficient physical layer communication, We introduce efficient network structure supplying a new ...

    Kwang-Cheng Chen, Whai-En Chen in Wireless Algorithms, Systems, and Applicat… (2015)

  13. No Access

    Chapter and Conference Paper

    High Performance DDDT-CWT Based Compressed Sensing Recovery of Images via Structured Sparsity

    Due to its low encoding complexity, compressed sensing (CS) has gained wide attention in image processing related areas such as image compression, medical imaging and remote sensing. In existing research on CS...

    Hai-xu Wang, Shao-hua Wu, **g-ran Yang in Wireless Algorithms, Systems, and Applicat… (2015)

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    Chapter and Conference Paper

    A New Cellular Automaton Model with Spatiotemporal Process of Lane Changing Execution

    In this paper, the spatiotemporal process of lane changing is considered in the cellular automaton models for traffic flow. The lane-changing time and the space required depend on the instantaneous velocity of...

    Hui-xuan Li, Chun-fu Shao, Hao-ling Wu, Jun-fang Tian, Xun Ji in Cellular Automata (2014)

  15. Chapter and Conference Paper

    Empowering Users to Explore Subject Knowledge by Aggregating Search Interfaces

    Due to the popularity of link-based applications, one of the most important issues in web searching is how to retrieve information effectively from multiple sources. Consider Wikipedia as an example; users bro...

    I-Chin Wu, Cheng Kao, Shao-Syuan Chiou in HCI in Business (2014)

  16. No Access

    Chapter and Conference Paper

    Designing an Interactive Storytelling Game

    This paper presents a teaching strategy that engages deep learning in game design. The learning objectives include brain storming, researching, setting goals, integrating game structure and storytelling, creat...

    Chun-Tsai Wu, Szu-Ming Chung in E-Learning and Games for Training, Educati… (2012)

  17. No Access

    Chapter and Conference Paper

    ACIA—A Course Design Approach to Game Design Theory

    Based on constructivist teaching and experiential learning, this research proposes ACIA (stands for Authentic Learning, Learning Community, Interaction, and Assessment) to structure a course of game design the...

    Chun-Tsai Wu, Szu-Ming Chung in Edutainment Technologies. Educational Game… (2011)

  18. No Access

    Chapter and Conference Paper

    A Fast Method to Segment the Liver According to Couinaud’s Classification

    For establishing a plan of Living Donor Liver Transplantation (LDLT), it is very important to estimate the volume of each liver segment. Usually Couinaud’s classification is used to segment a liver, which is b...

    Shao-hui Huang, Bo-liang Wang, Ming Cheng, Wei-li Wu in Medical Imaging and Informatics (2008)

  19. No Access

    Chapter and Conference Paper

    Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction

    A novel approach of glide zoom window feature extraction based on protein sequence was proposed for predicting protein homo-oligomers. Based on the concept of glide zoom window, three feature vectors of amino ...

    Qi-Peng Li, Shao-Wu Zhang, Quan Pan in Advanced Intelligent Computing Theories an… (2008)

  20. No Access

    Chapter and Conference Paper

    Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination

    In the protein universe, many proteins are composed of two or more polypeptide chains, generally referred to as subunits, which associate through noncovalent interactions and, occasionally, disulfide bonds to ...

    Shao-Wu Zhang, Wei Chen, Chun-Hui Zhao, Yong-Mei Cheng, Quan Pan in Medical Biometrics (2007)

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