Published Papers - NAKACHI Takayuki

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)

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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)

Light-weight Machine Learning based Intelligent Constellation Diagram Analyzer

Yitu Wang, Takayuki Nakachi, Tetsuro Inui, Takafumi Tanaka, Takahiro Yamaguchi, Katsuhiro Shimano

IEEE OptoElectronics and Communications Conference (OECC2020)     2020.09 [ Peer Review Accepted ]

Type of publication: Research paper (other science council materials etc.)

A Privacy-preserving Learning Framework for Face Recognition in Edge and Cloud Networks

Yitu Wang, Takayuki Nakachi

IEEE ACCESS: The Multidisciplinary Open Access Journal Access     2020.07 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

The Learning and Prediction of Network Traffic: A Revisiting to Sparse Representation

Yitu Wang, Takayuki Nakachi

IEEE International Conference on Communications (ICC2020)     2020.06 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Pattern Recognition using Encrypted Sparse Representations in L0 Norm Minimization

Takayuki Nakachi, Yitu Wang, Hitoshi Kiya

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Sparse Modeling on Distributed Encryption Data

Yukihiro Bandoh, Takayuki Nakachi, Hitoshi Kiya

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Face Recognition in Edge and Cloud Networks: From the Ensemble Learning Perspective

Yitu Wang, Takayuki Nakachi

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)     2020.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure OMP Based Pattern Recognition that Supports Image Compression

Takayuki Nakachi, Hitoshi Kiya

Signal & Image Processing : An International Journal (SIPIJ) ( AIRCC )  11 ( 2 )   2020.04 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Privacy-preserving Pattern Recognition with Image Compression

Takayuki Nakachi, Hitoshi Kiya

International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2020)   10 ( 02 )   2020.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Overcomplete Dictionary Learning for Sparse Representation

Takayuki Nakachi, Yukihiro Bandoh, Hitoshi Kiya

IEICE Transactions on Information and Systems   E103.D ( 1 ) 50 - 58   2020.01 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Privacy-Preserving Support Vector Machine Computing Using Random Unitary Transformation

Takahiro Maekawa, Ayana Kawamura, Takayuki Nakachi, Hitoshi Kiya

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E102-A ( 12 ) 1849 - 1855   2019.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Secure Sparse Representations in L0 Norm Minimization and Its Application to EtC Systems

Takayuki Nakachi, Hitoshi Kiya

IEEE International Conferences on Signal Processing and Communication Systems (ICSPCS2019)     2019.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Dictionary Learning for Sparse Representation

Takayuki Nakachi, Yukihiro Bandoh, Hitoshi Kiya

European Signal Processing Conference (EUSIPCO 2019)     2019.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Edge and Cloud-aided Secure Sparse Representation for Face Recognition

Yitu Wang, Takayuki Nakachi, Hiroyuki Ishihara

European Signal Processing Conference (EUSIPCO 2019)     2019.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

An MMT Module for 4K/120fps Temporally Scalable Video

Yasuhiro Mochida, Takayuki Nakachi, Takahiro Yamaguchi, Takayuki Onishi, Ken Nakamura

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISCAS2019)     2019.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Pattern Recognition using Secure Sparse Computation

Takayuki Nakachi, Hitoshi Kiya

JOIG International Conference on Frontiers of Image Processing (ICFIP2019)     2019.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)