Faculty Profiles - NOBAYASHI Daiki

Papers - NOBAYASHI Daiki

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Adaptive Data Transmission Control for Spatio-temporal Data Retention over Crowds of Vehicles Reviewed International journal

Nobayashi D., Goto I., Teshiba H., Tsukamoto K., Ikenaga T., Gerla M.

IEEE Transactions on Mobile Computing 21 ( 11 ) 3822 - 3835 2022.11

P4-Based Buffer Management Method for Throughput Fairness Improvement with Different Congestion Control Contention Reviewed

Koshi Ono, Daiki Nobayashi, Takeshi Ikeanga

2025.01

Multi-Dementional Feature Engineering for Reliable Detection Method of Vehicles with Location Information Errors in Spatio-Temporal Data Retention System Reviewed

Tatsuya Takabe, Hiroshi Yamamoto, Daiki Nobayashi, Takeshi Ikenaga, Kazuya Tsukamoto

2025.01

Experimental evaluation of downlink communication performance of IEEE 802.11ax wireless LAN: OFDM vs. OFDMA Reviewed International journal

Oogami T., Tamura H., Nobayashi D., Tsukamoto K.

International Journal of Grid and Utility Computing 16 ( 1 ) 60 - 68 2025.01

Packet Scheduling Algorithm for Improving Fairness under Different Congestion Control Contention using P4 Reviewed

Koshi Ono, Daiki Nobayashi, Takeshi Ikeanga

2024.11

Performance Improvement of Large Spatio-Temporal Data With Encoded Packets Reviewed

Naoki Tanaka, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga

2024.11

Data Collection Method for MEC integrated with STD Retention System on Floating-CPS Platform Reviewed

Meiya Tanaka, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Shu Sekigawa, Myung Lee

2024.11

Malicious Behavior Detection Method based on Feature Extraction of Malware DNS Traffic Data Reviewed

Toshiki Koga, Daiki Nobayashi, Takeshi Ikenaga

2024.11

Efficient Frequency Bandwidth Limitation for Wireless-Based Ultrasonic Data Collection Systems Reviewed International journal

Shigyo Rio, Nobayashi Daiki, Tsukamoto Kazuya, Mizumachi Mitsunori, Ikenaga Takeshi

Journal of Signal Processing ( Research Institute of Signal Processing, Japan ) 28 ( 4 ) 129 - 132 2024.07

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)

IoT-based acoustic data collection systems have been proposed for detecting anomalies in mechanical equipment. However, traditional systems using audible sound do not work well due to interference from various sound sources. To solve this problem, we have previously proposed an ultrasonic data collection system, but the clear and high-quality sound required for anomaly detection results in an increase in data volume. This paper proposes a method for extracting only the necessary frequency band based on the periodicity of the target signal, aiming to reduce the amount of data. Our experiments demonstrate that the proposed method efficiently determines the appropriate frequency band in which the characteristics of the target equipment appear, thereby enabling the amount of data to be reduced by more than 45%.

DOI： 10.2299/jsp.28.129

CiNii Research

Other Link： https://www.jstage.jst.go.jp/article/jsp/28/4/28_129/_pdf

Fairness improvement method using explicit congestion notification for QUIC Reviewed International journal

Uchida Nobuhiro, Nobayashi Daiki, Cavendish Dirceu, Ikenaga Takeshi

IEICE Communications Express ( The Institute of Electronics, Information and Communication Engineers ) 13 ( 6 ) 222 - 226 2024.06

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)

QUIC is a transport protocol that adds congestion control, retransmission control, and TLS to UDP. QUIC can use the same congestion control algorithms as TCP. In previous work, we have shown that communication performance becomes unfair concerning the buffer size of the shared bottleneck link of two flows, one using CUBIC and the other BBR congestion control algorithms within QUIC. In this study, we improve the communication fairness performance at different bottleneck link buffer sizes by using Round Trip Time (RTT) and Explicit Congestion Notification (ECN) to regulate congestion control aggressiveness when CUBIC and BBR compete within QUIC through actual experiments.

DOI： 10.23919/comex.2024xbl0014

Kyutacar

CiNii Research

Other Link： http://xplorestaging.ieee.org/ielx7/10250155/10547173/10494945.pdf?arnumber=10494945

Performance Evaluation of Multipath TCP Video Streaming on LEO Satellite/Cellular Networks Reviewed

2024.03

An Efficient Method of Frequency Bandwidth Limitation for Wireless-based Ultrasonic Data Collection System Reviewed

Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga

2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2024.03

Performance Evaluation of Multipath TCP Video Streaming on LEO Satellite/Cellular Networks Reviewed

Yosuke Komatsu, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga

2024.03

An Efficient Method of Frequency Bandwidth Limitation for Wireless-based Ultrasonic Data Collection System Reviewed

2024.02

Dynamic Transmission Parameter Settings Based on Data Transmission and Reception Performance for 920MHz LoRa Communication Reviewed

Tanaka R., Nobayashi D., Tsukamoto K., Ikenaga T., Sato G., Takizawa K.

Proceedings - IEEE Consumer Communications and Networking Conference, CCNC 1102 - 1103 2024.01

Dynamic A-MPDU Adaptation Method for Airtime Fairness in Channel Bonding-Ready WLANs Reviewed International journal

Tamura H., Nobayashi D., Kawahara K., Tsukamoto K.

IEEE Access 12 87954 - 87966 2024.01

Accuracy Improvement Method for Malicious Domain Detection Using Machine Learning Reviewed

Koga T., Nobayashi D., Ikenaga T.

Proceedings - IEEE Consumer Communications and Networking Conference, CCNC 1108 - 1109 2024.01

Packet Recovery Method with Redundant Packets for Large Spatio-Temporal Data Retention Reviewed

Tanaka N., Nobayashi D., Tsukamoto K., Ikenaga T.

Proceedings - IEEE Consumer Communications and Networking Conference, CCNC 1110 - 1111 2024.01

Performance Evaluation of Spatio-temporal Data Retention System Supporting a Floating Cyber-physical System Invited Reviewed International journal

Nobayashi Daiki, Akashi Renju, Tsukamoto Kazuya, Ikenaga Takeshi, Lee Myung J.

Journal of Information Processing ( Information Processing Society of Japan ) 32 ( 0 ) 566 - 574 2024.01

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

We propose a floating cyber-physical system (F-CPS) as a novel platform for data distribution and application execution to realize a CPS. The F-CPS constructs a local-oriented and distributed CPS using devices with computing capability close to the user, such as smartphones, sensor devices, vehicles, and roadside units. This paper first provides an overview of the F-CPS and then discusses the challenges posed by the spatio-temporal retention system (STD-RS), a network technology for data distribution and maintenance in the local area of the F-CPS. To address the challenges associated the STD-RS, we propose adaptive data transmission control to effectively retain the STD in a certain area. Finally, we performed network simulations to demonstrate the effectiveness of the proposed adaptive method.

DOI： 10.2197/ipsjjip.32.566

Kyutacar

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85203607088&origin=inward

Experimental Evaluation for TCP/IP Communication Performance in Multi-Hop Private LoRa Network Reviewed

Aramaki E., Nobayashi D., Tsukamoto K., Ikenaga T., Sato G., Takizawa K.

IEEE Workshop on Local and Metropolitan Area Networks 7 - 8 2024.01

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Papers - NOBAYASHI Daiki