Published Papers - NAKACHI Takayuki

(Best Presentation Award) A Design Method of Golomb Coding for Layered Scrambled JPEG XS Scheme

Takayuki Nakachi, Hiroyuki Kimiyama, Mitsuru Maruyama

IEEE 6th World Symposium on Communication Engineering (WSCE 2023)     2023.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy Preserving Deep Unrolling Methods for Sparse Signal Recovery

Nichika Yuge, Takayuki Nakachi, Morikazu Nakamura

IEICE International Workshop on Smart Info-Media Systems in Asia (SISA2023)     2023.08 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

A Research on Secure Kernel Dictionary Learning for Sparse Modeling

Kazuki Kurozawa, Takayuki Nakachi, Morikazu Nakanura

IEICE International Workshop on Smart Info-Media Systems in Asia (SISA2023)     2023.08 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

A Light-weight Online Learning Framework for Network Traffic Abnormality Detection

Yitu Wang, Runqi Dong, Takayuki Nakachi, Wei Wang

IEEE Wireless Communications and Networking Conference (WCNC2023) ( IEEE )    2023.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Light Weight Scrambled JPEG XS Coding for Privacy Protection

Takayuki Nakachi, Hiroyuki Kimiyama, Mitsuru Maruyama

IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2022)     2022.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Uncompressed 8K Video Processing on Edge Computing

Katsuhiro Sebayashi, Mitsuru Maruyama, Hajime Iwata, Hiroyuki Kimiyama, Takayuki Nakachi, Kouta Aoki, Yasuhisa Kato, Shigeo Urushidani, Takeshi Kurimoto, Eiji Kawai, Hideki Otsuki, Kazumasa Kobayashi

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22)     2022.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Proposal of Ultra-high-resolution Video Delivery System on Edge-cloud Environment

Hiroyuki Kimiyama, Mitsuru Maruyama, Takayuki Nakachi

IEEE International Conference on Consumer Electronics (ICCE-TW 2022)     2022.06 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Access Control for Privacy-Preserving Gaussian Process Regression

Takayuki Nakachi, Yitu Wang

IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP2022)     2022.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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Correlation Discovery and Channel Prediction in Mobile Networks: A Revisiting to Gaussian Process

Yitu Wang, Takayuki Nakachi, Takeru Inoue, Toru Mano, Riichi Kudo

IEEE Global Communications Conference 2021 (Globecom2021)     2021.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Adaptive Multi-slot-ahead Prediction of Network Traffic with Gaussian Process

Yitu Wang, Takayuki Nakachi, Takeru Inoue, Toru Mano

IEEE Global Communications Conference 2021 (Globecom2021)     2021.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Designing Secure Sparse Coding via Multiple Random Unitary Transforms

Takayuki Nakachi

IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2021) ( IEEE )    2021.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Computation of Gaussian Process Regression for Data Analysis

Takayuki Nakachi, Yitu Wang

European Signal Processing Conference (EUSIPCO2021)     2021.08 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

L0 Norm Optimization in Scrambled Sparse Representation Domain and Its Application to EtC System

Takayuki Nakachi, Hitoshi Kiya

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E103-A ( 12 )   2020.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Context-aware Communication Recommender System for Facilitating Interpersonal Communications

Takeshi Kugimoto, Osamu Kamatani, Takahiro Yamaguchi, Takayuki Nakachi

International Conference on Technology and Social Science 2020 (ICTSS 2020)     2020.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

A Privacy-Preserving Machine Learning Scheme Using EtC Images

Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ( IEICE )    2020.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Distributed Secure Sparse Modeling based on Random Unitary Transform

Yukihiro Bandoh, Takayuki Nakachi, Hitoshi Kiya

IEEE ACCESS: The Multidisciplinary Open Access Journal ( IEEE )    2020.11 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Prediction of Network Traffic through Light-weight Machine Learning

Yitu Wang, Takayuki Nakachi

IEEE Open Journal of the Communications Society ( IEEE )    2020.11 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Light-weight Machine Learning for mmWave Vehicular Communications

Yitu Wang, Takayuki Nakachi

IEEE Vehicular Technology Conference: VTC2020-Fall ( IEEE )    2020.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

　View Summary

Exploiting the vacant spectrum resource at mmWave bands provides the potential for fulfilling the requirements of broadband services. Nevertheless, the sensitivity of mmWave to blockages together with its directionality bring new technical challenges in the vehicular context. In particular, traditional beam training is inadequate in satisfying low communication overhead and small latency, and the influence of the same blockage on a fixed position varies according to vehicle motion. To facilitate fast beam alignment, fingerprint- based method stands out as an efficient solution, where the utilities of selecting different beam pairs are recorded in the fingerprint database for reference at a given position. In order to better orchestrate fingerprint-based method with vehicular scenarios, we propose the idea of trajectory-aware fingerprint, which extracts the combined effect of mobility, propagation environment, and blockages, so as to faithfully reflect the transmitting condition in mobile scenarios. Then, a light-weight machine learning framework is established for intelligent adaptation among multiple fingerprints to find a near-optimal BS association and beam alignment solution. Finally, the simulation result verifies the performance improvements.

An MMT-based Hierarchical Transmission Module for 4K/120fps Temporally Scalable Video

Yasuhiro Mochida, Takayuki Nakachi, Takahiro Yamaguchi

IEICE Transactions on Information and Systems     2020.10 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Secure OMP Computation Maintaining Sparse Representations and Its Application to EtC Systems

Takayuki Nakachi, Hitoshi Kiya

IEICE Transactions on Information and Systems   E103-D ( 9 )   2020.09 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)