Tomotaka Kimura

Spatio-Temporal Scheduling for Robust and Efficient Multi-Transmitter Wireless Power Transfer

Yuna Sawada, Shino Shiraki, Nobuyoshi Kikuma, Takahiro Matsuda et autres

In multi-user wireless power transfer (WPT), scheduling schemes that determine the allocation of transmission resources among receivers play a crucial role in improving power transfer efficiency. Scheduling can be classified into time-division (TD) and space-division (SD) schemes, with the transmission order and …

Investigation of subcooled boiling phenomena in water with dissolved copper from corroded pipe surfaces

Noriyuki Unno, Kento Haruyama, Tomotaka Kimura, Kazuhisa Yuki et autres

Abstract The influence of foulants dissolved in a solution on boiling heat transfer is substantial because it degrades the boiling regime and hinders high-efficiency heat removal. Understanding this phenomenon is therefore essential. In particular, its effects on the critical heat flux (CHF) …

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Trajectory planning for UAV-assisted data collection with directional antenna control under jamming environments

Arata Kuwahara, Hiroyuki Nishikawa, Tomotaka Kimura, Jun Cheng

Unmanned aerial vehicles (UAVs) have attracted attention as aerial platforms for uplink data collection from ground devices. However, UAV communications are vulnerable to jamming interference, which degrades communication reliability and increases the overall mission time. This paper proposes a trajectory planning method …

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Inter-Cluster Interference-Aware Slot Assignment for Time-Division Wireless Power Transfer

Emiko Kudo, Yuna Sawada, Shino Shiraki, Takahiro Matsuda et autres

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Deep-learning-based acoustic state sensing of microbubble emission boiling by image recognition using the spectrogram and the cepstrogram

Kento Haruyama, Tomotaka Kimura, Noriyuki Unno, Kazuhisa Yuki et autres

Understanding the boiling state inside cooling tubes that utilize boiling heat transfer is important for the early detection of accidents and other anomalies. Acoustic-signal-based methods for detecting boiling states are effective because of their noncontact and real-time monitoring capabilities. In deep-learning-based models …

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Human Presence Detection from Hyperspectral Data Using PCA–Max-Pooling Integrated Dimensionality Reduction and Lightweight 3D CNNs

W.A.D.U Wijesinghe, Chinthaka Premachandra, Lasith Gunawardena, Hiroharu Kawanaka et autres

Hyperspectral imaging (HSI) provides rich spectral information that is well-suited for human detection in complex environments such as disaster sites, intelligent surveillance and autonomous systems. However, the high dimensionality of HSI data imposes computational challenges. This paper proposes a novel dimensionality reduction …

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Radio-Frequency Fingerprint-Tag-Based Device Authentication for Massive Random Access

Yoshihiro Kitagawa, Kenta Ogawa, Riku Sotohebo, Guanghui Song et autres

IoT devices possess a radio-frequency fingerprint (RFF) due to inherent variations in manufacturing, making it device-specific and difficult to alter. This unique RFF, derived from RF signals, is often employed for physical layer authentication (PLA) by matching it against a pre-existing whitelist. …

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Battery- and channel-state-aware scheduling for time division wireless power transfer

Yuna Sawada, Shino Sfflraki, Takahiro Matsuda, Takefumi Hiraguri et autres

UAV Flight Path Optimization Using EM-Based Estimation of Superior Quality Communication Areas

Koyo Aoyama, Takahiro Matsuda, Tomotaka Kimura, Hiroyuki Shimizu et autres

In complex urban propagation environments, communication coverage and quality are often degraded due to multipath fading and shadowing. Conventional fixed relay stations cannot flexibly adapt to these dynamic conditions. To address this issue, we propose a dynamic network construction method that employs …

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Trajectory Optimization Considering Charging Station Locations for UAV-based Edge Computing Environments

Hideyoshi Miura, Ryo Kaneko, Tomotaka Kimura, Kouji Hirata

In this paper, we discuss a trajectory decision problem of Unmanned Aerial Vehicles (UAVs) for UAV-based edge computing systems. In the UAV-based edge computing systems, some UAVs having computing resources fly over a given area to process data generated by clients such …

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Blind ISI Channel Estimation, Symbol Detection, and Message Recovery Using Clustering

Wakana Yagyu, Tomotaka Kimura, Jun Cheng

In wireless communication systems, the presence of inter-symbol interference (ISI), resulting from multipath propagation and channel memory, poses a significant challenge to reliable symbol detection and message recovery. A blind estimation of the ISI channel with a memory length-$L$is proposed. In the …

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Learning to Identify RF Devices from Few Pilots via Reptile

Longqi Shen, Tomotaka Kimura, Jun Sheng Cheng

We examine a neural network-based system designed to identify$K$devices, each with device-specific I/Q imbalances in the RF modulator, as they transmit signals to an access point using time-division multiple access. Traditional methods begin training with randomly chosen initial parameters and need numerous …

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