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  1. No Access

    Chapter and Conference Paper

    Time-Series Estimation of the Best Time to View Seasonal Organisms Using Geotagged Tweets and Co-occurring Words

    The meteorological agency has reduced the scale of its biological seasonal observations because of requirements for maintaining observation targets and securing personnel. A low-cost, nationally applicable est...

    Yusuke Takamori, Junya Sato, Ryoga Sato, Asahi Iha in Management of Digital EcoSystems (2024)

  2. No Access

    Chapter and Conference Paper

    A Smart Glasses-Based Real-Time Micro-expressions Recognition System via Deep Neural Network

    The rapid development of new communication technologies such as social software and email has brought convenience, but it has also increased the distance between people. This research aims to capture micro-exp...

    Siyu **ong, Xuan Huang, Kiminori Sato, Bo Wu in Green, Pervasive, and Cloud Computing (2024)

  3. No Access

    Chapter and Conference Paper

    A Cloud-Based Sign Language Translation System via CNN with Smart Glasses

    In situations where ordinary people and the hearing-impaired person need to communicate, it is possible that the average person does not know sign language and thus communication may be impaired, which means t...

    Siwei Zhao, Jun Wang, Kiminori Sato, Bo Wu in Green, Pervasive, and Cloud Computing (2024)

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    Chapter and Conference Paper

    Study on Sharing Health Guidance Contents Using Health Guidance Visualization System

    In Japan, “Specific Health Checkups” and “Specific Health Guidance” are implemented to prevent lifestyle-related diseases [1]. In the specific health guidance, health professionals (e.g., public health nurses and...

    Kaori Fujimura, Taiga Sano, Tae Sato in HCI International 2023 – Late Breaking Pos… (2024)

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    Chapter and Conference Paper

    A Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Analysis

    When in a situation where there is a language barrier, facilitate the exchange through sketching is an efficient solution if a person wishes to keep the conversation going. However, not everyone has sketch bas...

    Jun Wang, Kiminori Sato, Bo Wu in Green, Pervasive, and Cloud Computing (2024)

  6. No Access

    Chapter and Conference Paper

    QWalkVec: Node Embedding by Quantum Walk

    In this paper, we propose QWalkVec, a quantum walk-based node embedding method. A quantum walk is a quantum version of a random walk that demonstrates a faster propagation than a random walk on a graph. We foc...

    Rei Sato, Shuichiro Haruta, Kazuhiro Saito in Advances in Knowledge Discovery and Data M… (2024)

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    Chapter and Conference Paper

    Polyhedral Clinching Auctions for Indivisible Goods

    In this study, we propose the polyhedral clinching auction for indivisible goods, which has so far been studied for divisible goods. As in the divisible setting by Goel et al. (2015), our mechanism enjoys ince...

    Hiroshi Hirai, Ryosuke Sato in Web and Internet Economics (2024)

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    Chapter and Conference Paper

    The Relationship Between Older Drivers’ Cognitive Ability and Takeover Performance in Conditionally Automated Driving

    In takeover process of conditionally automated driving, cognitive abilities, especially the executive function abilities, are found to play a significant role in driver’s performance. During the automated driv...

    Qijia Peng, Yanbin Wu, Toshihisa Sato in Human Aspects of IT for the Aged Population (2023)

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    Chapter and Conference Paper

    A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis

    Business processes are sequences of activities performed to achieve a specific goal, e.g., applying a clinical protocol to a patient. Process mining provides tools and techniques for analyzing and enhancing bu...

    Caio Raduy, Denise M. V. Sato in Artificial Intelligence and Soft Computing (2023)

  10. No Access

    Chapter and Conference Paper

    A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys

    This paper presents a new approach of data transformation and resampling for prediction of yield strength of high-entropy alloys (HEAs) at room temperature. Instead of directly predicting yield strength of HEA...

    Nguyen Hai Chau, Genki Sato, Kazuki Utsugi in Intelligent Information and Database Syste… (2023)

  11. No Access

    Chapter and Conference Paper

    RoboCup2022 KidSize League Winner CIT Brains: Open Platform Hardware SUSTAINA-OP and Software

    We describe the technologies of our autonomous soccer humanoid robot system that won the RoboCup2022 Humanoid KidSize League. For RoboCup2022, we developed both hardware and software. We developed a new hardwa...

    Yasuo Hayashibara, Masato Kubotera, Hayato Kambe in RoboCup 2022: Robot World Cup XXV (2023)

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    Chapter and Conference Paper

    Creating Trust Within Population of Evolutionary Computation in an Uncertain Environment Using Blockchain

    Various population-based optimization methods have been proposed following the development of evolutionary computation. Optimization is achieved through the interactions of many individuals in these systems. H...

    Hiroshi Sato, Masao Kubo in Artificial Intelligence for Communications and Networks (2023)

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    Chapter and Conference Paper

    A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders

    A hardware video encoder based on recent video coding standards such as HEVC and VVC needs to efficiently handle a massive number of memory accesses to search motion vectors. To this end, first, this paper pre...

    Masayuki Sato, Yuya Omori, Ryusuke Egawa in Parallel and Distributed Computing, Applic… (2023)

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    Chapter and Conference Paper

    Automated Ontology Generation

    Ontologies are human- and machine-readable conceptualizations that define domain concepts and their relationships. The context provided by these representations are essential for advanced reasoning application...

    Christianne Izumigawa, Bethany Taylor, Jonathan Sato in HCI International 2023 Posters (2023)

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    Chapter and Conference Paper

    Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning

    Deep learning is a vital technology in our lives today. Both the size of training datasets and neural networks are growing to tackle more challenging problems with deep learning. Distributed deep neural networ...

    Takaaki Fukai, Kento Sato in Parallel and Distributed Computing, Applic… (2023)

  16. No Access

    Chapter and Conference Paper

    QBRT: Bias and Rising Threshold Algorithm with Q-Learning

    In multi-agent reinforcement learning, the problems of non-stationarity of the environment and scalability have long been recognized. As a first step toward solving these problems, this paper proposes a learni...

    Ryo Ogino, Masao Kubo, Hiroshi Sato in Artificial Intelligence for Communications… (2023)

  17. No Access

    Chapter and Conference Paper

    Deep Robust Neural Networks Inspired by Human Cognitive Bias Against Transfer-based Attacks

    In recent years, with the proliferation of cloud services, the threat of Transfer-based attacks, a type of Adversarial attacks, has increased. Adversarial Training is known as an effective defense against this...

    Yuuki Ogasawara, Masao Kubo, Hiroshi Sato in Artificial Intelligence for Communications… (2023)

  18. No Access

    Chapter and Conference Paper

    A Tightly Secure Identity-Based Signature Scheme from Isogenies

    We present a tightly secure identity-based signature (IBS) scheme based on the supersingular isogeny problems. Although Shaw and Dutta proposed an isogeny-based IBS scheme with provable security, the security ...

    Jiawei Chen, Hyungrok Jo, Shingo Sato, Junji Shikata in Post-Quantum Cryptography (2023)

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    Chapter and Conference Paper

    Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling

    For an efficient upconvert of the Pareto front resolution by utilizing a known candidate solution set, this paper proposed an algorithm that built the Pareto front and the Pareto set estimation models and repe...

    Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato in Evolutionary Multi-Criterion Optimization (2023)

  20. No Access

    Chapter and Conference Paper

    Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes

    This paper investigated the impacts of multi-objectivization on solving combinatorial single-objective NK-landscape problems with multiple funnel structures. Multi-objectivization re-formulates a single-objective...

    Shoichiro Tanaka, Keiki Takadama in Evolutionary Computation in Combinatorial … (2023)

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