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    Chapter and Conference Paper

    Design Consideration for LC Analog Filters: Inductor ESR Compensation, Mutual Inductance Effect and Variable Center Frequency

    This paper presents several considerations of LC analog filter design. First, we propose an inductor equivalent series resistance (ESR) compensation technique for LC analog band-pass filters (BPFs) and band-el...

    Misaki Takagi, Takayuki Nakatani in Proceedings of Eighth International Congre… (2024)

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    Chapter and Conference Paper

    12 bit 1 ps Resolution Time-to-Digital Converter for LSI Test System

    This paper describes a 12 bit, 1 ps resolution, 5 ns full-scale time-to-digital converter (TDC) for LSI test system application. The TDC is realized with discrete electronic components on a board for low cost,...

    Daisuke Iimori, Takayuki Nakatani in Proceedings of Eighth International Congre… (2023)

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    Chapter and Conference Paper

    Prediction of Engagement from Facial Expressions: Effect of Dynamic Factors

    Estimating students’ engagement while studying is important to increase learning outcomes. However, it is difficult for teachers to pay attention to all students throughout a class, especially in online classe...

    Haruka Kato, Koki Takahashi, Yasuhiro Hatori in Advances in Intelligent Information Hiding… (2023)

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    Chapter and Conference Paper

    Decentralised Renewable Electricity Certificates Using Smart Meters and Blockchain

    Recently, the use of renewable energy has been promoted to decarbonise the world. Renewable energy certificates are issued to prove the authenticity of source of renewable energy. However, it is not easy to de...

    Yuki Sato, Szilard Zsolt Fazekas in Proceedings of Eighth International Congre… (2023)

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    Chapter and Conference Paper

    Adaptive Synapse Adjustment and Decoding in Action-Prediction Cortical Learning Algorithm

    This paper proposes the adaptive synapse adjustment and the adaptive decoding in the action-prediction cortical learning algorithm (ACLA) for an uncertain environment with probabilistically missing multiple in...

    Kazushi Fu**o, Takeru Aoki, Keiki Takadama in Proceedings of the 14th International Conf… (2023)

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    Chapter and Conference Paper

    Mild Cognitive Impairment Screening System by Multiple Daily Activity Information—A Method Based on Daily Conversation

    In recent years, the number of patients with dementia has steadily increased. It is possible to recover from Mild Cognitive Impairment (MCI), which is a preliminary stage of dementia. Therefore, it is importan...

    Ayaka Yamanaka, Ikuma Sato in Proceedings of Eighth International Congre… (2023)

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    Chapter and Conference Paper

    Equilibrium Search Technique Using Genetic Algorithm and Replicator Dynamics and Its Application to Food Supply Chain Model

    Although expressing a social system as a game model and searching for equilibrium states are useful in the design study of social systems, the calculation time is a problem in practical applications. In this s...

    Natsuki Morita, Hayato Dan, Katsumi Homma in Intelligent Decision Technologies (2022)

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    Chapter and Conference Paper

    Unsupervised Domain Adaptation with Adversarial Learning for Liver Tumors Detection in Multi-phase CT Images

    Automatic and accurate liver tumor detection in multi-phase CT images plays an important role in computer-aided diagnosis. A deep learning-based AI system requires a large amount of training data, but sufficie...

    Rahul Kumar Jain, Takahiro Sato, Taro Watasue in Innovation in Medicine and Healthcare (2022)

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    Chapter and Conference Paper

    Revenue Management Problem via Stochastic Programming in the Aviation Industry

    This paper presents an optimization model using stochastic programming to secure the optimum seat and maximizing the profit of the airline in consideration of overbooking. Airline seat inventory control involv...

    Mio Imai, Tetsuya Sato, Takayuki Shiina in Modelling, Computation and Optimization in… (2022)

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    Chapter and Conference Paper

    Apple Brand Texture Classification Using Neural Network Model

    This paper describes a texture measurement method for apples and a neural network model to infer the texture classification in apple brands. The features such as load and sound measured by the texture inspecti...

    Shigeru Kato, Renon Toyosaki, Fuga Kitano in Advanced Information Networking and Applic… (2022)

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    Chapter and Conference Paper

    Optimal Operation Model of Heat Pump for Multiple Residences

    In a world in which global warming is progressing and environmental problems are becoming increasingly severe, the use of energy with a low environmental load has become important. One way to solve this proble...

    Yusuke Kusunoki, Tetsuya Sato in Modelling, Computation and Optimization in… (2022)

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    Chapter and Conference Paper

    Two-Tier Trust Structure Model for Dynamic Supply Chain Formulation

    With the ongoing development of DX, the linkage between physical and cyber environments is expanding and is increasingly being applied to business aspects such as supply chains. At the same time, cyber-attacks...

    Shigeaki Tanimoto, Yudai Watanabe in Advanced Information Networking and Applic… (2022)

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    Chapter and Conference Paper

    Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns

    Supply chain management is a large-scale planning under uncertainty. It is important to build an efficient supply chain under uncertain circumstances. There are numerous traditional lateral transshipment model...

    Keiya Kadota, Tetsuya Sato, Takayuki Shiina in Modelling, Computation and Optimization in… (2022)

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    Chapter and Conference Paper

    Quantum-Secure Aggregate One-time Signatures with Detecting Functionality

    An aggregate signature (ASIG) scheme allows any user to compress multiple signatures into a short signature called an aggregate signature. While a conventional ASIG scheme cannot detect any invalid messages fr...

    Shingo Sato, Junji Shikata in Advanced Information Networking and Applications (2022)

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    Chapter and Conference Paper

    Proposal of a Perimeter Line Management Method for Fog and Edge Computing with SDP Concept

    In recent years, with the development of the Internet of Things (IoT), there are more and more situations where real-time performance is required, such as automated driving and surveillance cameras. However, w...

    Shigeaki Tanimoto, Yuzuka Sato in Advances in Networked-Based Information Sy… (2021)

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    Chapter and Conference Paper

    Social Experiment of Road Sensing on Guided Autonomous Driving Vehicle in Snowy Cold Region

    Autonomous driving vehicle is one of solutions to provide transportation rights with an alternative modal transportation in the community which is increasing of aging population in rural area. There is technic...

    Akira Sakuraba, Goshi Sato, Yoshia Saito in Advanced Information Networking and Applic… (2021)

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    Chapter and Conference Paper

    A Prototype System of Social Experiment for Actual Road State Information Platform Based on Sensors and V2X Communication

    In this research, a Road State Information platform is introduced to protect slip car accidents in snow country. These road state information such as icy, snowy, etc. is not only exchanged to provide alart ind...

    Yoshitaka Shibata, Akira Sakuraba in Complex, Intelligent and Software Intensiv… (2021)

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    Chapter and Conference Paper

    Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking

    This paper proposes multi-factorial distance minimization problems for benchmarking of multi-factorial optimization. The multi-factorial optimization simultaneously searches for optimal solutions of multiple o...

    Shio Kawakami, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato in Hybrid Intelligent Systems (2021)

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    Chapter and Conference Paper

    Field Experiment on Cognitive Wireless V2X Communication Over High-Speed WLAN

    High-speed wireless networking technologies become commodity wireless standards in recent mobile computing. It has a capability of large amount of data delivering over vehicular networks even the vehicle is mo...

    Akira Sakuraba, Goshi Sato, Noriki Uchida in Advances in Networked-Based Information Sy… (2021)

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    Chapter and Conference Paper

    Improvement and Evaluation of a Function for Tracing the Diffusion of Classified Information on KVM

    The increasing amount of classified information currently being managed by personal computers has resulted in the leakage of such information to external computers, which is a major problem. To prevent such le...

    Hideaki Moriyama, Toshihiro Yamauchi in Advances in Networked-Based Information Sy… (2021)

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