Published Papers - NAKACHI Takayuki

Adaptive Task Offloading for Mobile Edge Computing With Forecast Information

Yitu Wang; Mengxue Kong; Guangchen Zhang; Wei Wang; Takayuki Nakachi; Juinjei Liou

IEEE Transactions on Vehicular Technology ( IEEE )  74 ( 3 ) 4132 - 4147   2025.03 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Fingerprint Adaptation for mmWave Vehicular Communications based on Trajectory Prediction

Guangchen Zhang, Xuying Zhou, Yitu Wang, Takayuki Nakachi, Wei Wang, Juinjei Liou

IEEE Internet of Things Journal ( IEEE )    2025.02 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Content Caching Oriented Popularity Forecast and User Clustering

Yitu Wang, Qi Chen , Wei Wang , Takayuki Nakachi , Guangchen Zhang , Juinjei Liou

IEEE Internet of Things Journal ( IEEE )  11 ( 23 ) 38425 - 38440   2024.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Privacy-Preserving Resource Management for Distributed Collaborative Edge Caching Systems

Qi Chen, Yitu Wang, Wei Wang, Takayuki Nakachi, Zhaoyang Zhang

IEEE Internet of Things Journal ( IEEE )  11 ( 21 ) 34296 - 34311   2024.11 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Stochastic Resource Allocation and Delay Analysis for Mobile Edge Computing Systems

Yitu Wang, Wei Wang, Vincent K. N. Lau, Takayuki Nakachi, Zhaoyang Zhang

IEEE Transactions on Communications ( IEEE )  71 ( 7 ) 4018 - 4033   2023.07 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Privacy Protection in JPEG XS: A Lightweight Spatio-Color Scrambling Approach

Takayuki Nakachi, Yasuhisa Kato, Mitsuru Maruyama

International Journal of Advanced Computer Science and Applications (IJACSA) ( The Science and Information (SAI) Organization )  16 ( 3 )   2025.03 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Pattern Discovery and Multi-slot-ahead Forecast of Network Traffic: A Revisiting to Gaussian Process

Yitu Wang, Takayuki Nakachi, Wei Wang

IEEE Transactions on Network and Service Management   20 ( 2 ) 1691 - 1706   2022.10 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Defending Against Gaussian Process Membership Inference Attack

Rashedul Islam, Jannatul Ferdous Akhi, Takayuki Nakachi

International Conference on Cryptography, Security and Privacy (CSP 2025)     2025.04 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Distributed and Secured Gaussian Process Learning over Networks

Ling Zhu, Takayuki Nakachi, Yitu Wang

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E108-A ( 3 )   2025.03 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Privacy Preserving Deep Unrolling Methods and Its Application to Image Modeling

Nichika Yuge, Hiroyuki Ishihara, Morikazu Nakamura, Takayuki Nakachi

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E108-A ( 3 )   2025.03 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Enhanced Network Bandwidth Prediction with Multi-Output Gaussian Process Regression

Shude Chen, Takayuki Nakachi

International Journal of Advanced Computer Science and Applications     2025.02 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

Secure Linearized Kernel Dictionary Learning for Supervised Image Classification

Kazuki Kurozawa, Takayuki Nakachi

IEICE International Workshop on Smart Info-Media Systems in Asia (SISA2024) ( IEICE )    2024.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy Preserving Image Denoising Using Secure Permutation TISTA

Nichika Yuge, Takayuki Nakachi

IEICE International Workshop on Smart Info-Media Systems in Asia (SISA2024) ( IEICE )    2024.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Bayesian Inference for Deep Gaussian Processes

Takayuki Nakachi, Yitu Wang

IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2024) ( IEEE )    2024.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Multi-objective Quantum Optimization based on Bayesian Approach for Computing Resource Assignment Problems

Toyoki Kosuda, Morikazu Nakamura, Tadashi Shiroma, Takayuki Nakachi

Twelfth International Symposium on Computing and Networking Workshops (CANDARW)     2024.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Petri net-based QUBO Model Formulation for Multi-Resource Flow-Shop Scheduling Problems

Ryota Uechi, Morikazu Nakamura, Tadashi Shiroma, Takayuki Nakachi

Twelfth International Symposium on Computing and Networking Workshops (CANDARW)     2024.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy-preserving Bayesian Inference for Sparse Gaussian Processes

Takayuki Nakachi

ACM International Conference on Advances in Artificial Intelligence (ICAAI 2024) ( ACM )    2024.10 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Improving Accuracy of Network Bandwidth Prediction Using Multi-channel Gaussian Process Regression

Shude Chen, Takayuki Nakachi

IEEE International Conference on Information Communication and Signal Processing (ICICSP 2024) ( IEEE )    2024.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Deep Unrolling Approaches for Sparse Dictionary Learning

Abu Kaisar Jamil, Nichika Yuge, Takayuki Nakachi

Proceedings of the 11th IIAE International Conference on Intelligent Systems and Image Processing 2024 (ICISIP2024)     2024.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Secure Sparse Modeling Through Linearized Kernel Dictionary Learning with Random Unitary Transformation

Kazuki Kurozawa, Takayuki Nakachi

International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2024) ( IEEE )    2024.07 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Privacy Preserving Trainable ISTA using Permuted Sparse Representation

Nichika Yuge, Takayuki Nakachi

International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2024) ( IEEE )    2024.07 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

A Lightweight Spatio-Color Scrambled EtC System for JPEG XS Standard

Takayuki Nakachi, Hiroyuki Kimiyama, Mitsuru Maruyama

International Conference on Information and Computer Technologies (ICICT2024)     228 - 232   2024.03 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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Network Traffic Anomaly Detection: A Revisiting to Gaussian Process and Sparse Representation

Yitu Wang, Takayuki Nakachi

IEICE Trans. Fundamentals   E107-A ( 1 )   2024.01 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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Uncompressed 8K video processing using SRv6-based service function chaining between Japan and the U.S

Katsuhiro Sebayashi, Taisei Tanabe, Mitsuru Maruyama, Hajime Iwata, Hiroyuki Kimiyama, Takayuki Nakachi, Kouta Aoki, Yasuhisa Kato, Wataru Mishima, Yuta Fukagawa, Yasuhiro Ohara, Shigeo Urushidani, Takeshi Kurimoto, Eiji Kawai, Hideki Otsuki, Kazumasa Kobayashi

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23)     2023.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Gaussian Process Latent Variable Model for Dimensional Reduction

Takayuki Nakachi, Yitu Wang

IEEE International Symposium on Communications and Information Technologies (ISCIT2023)     2023.10 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

(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)

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)

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)

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)

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)

Privacy-preserving Network BMI Decoding of Covert Spatial Attention

Takayuki Nakachi, Hiroyuki Ishihara, Hitoshi Kiya

IEEE International Conferences on Signal Processing and Communication Systems (ICSPCS2018)     2018.12 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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Privacy-preserving SVM Computing by using Random Unitary Transformation

Takahiro Maekawa, Takayuki Nakachi, Sayaka Shiota, Hitoshi Kiya

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2018)     2018.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Practical Secure OMP Computation and Its Application to Image Modeling

Takayuki Nakachi, Hitoshi Kiya

ACM International Conference on Information Hiding and Image Processing (IHIP2018)     2018.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Joint Attention Estimation from Object-wise 3D Gaze Concurrences in Multiple First Person Videos and Gazes

Hiroyuki Ishihara, Takayuki Nakachi, Masanori Ogawara, Takahiro Yamaguchi

Springer European Conference on Computer Vision (ECCV2018)     2018.09 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Slepian-Wolf Video Coding with Resolution-progressive Transmission

Takayuki Nakachi, Shinya Ishihara

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2017) ( Institute of Electrical and Electronics Engineers Inc. )  2017   170 - 175   2017.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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In this paper, we propose a new Slepian-Wolf (SW) video coding that supports resolution-progressive transmission. It can realize low-delay low-resolution real time streaming as well as high lossless coding efficiency. Intra-frame video coding is performed as the base layer coder for down-sampled input video and a SW coder is used as the enhancement layer coder for lossless archiving. In order to improve SW lossless coding efficiency, we introduce inter-layer prediction between the base layer and the enhancement layer. It uses inter-layer prediction to increase the accuracy of Motion Estimation (ME). Simulations show that the proposed scheme gives higher coding performance better than the JPEG2000 lossless mode.

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[Invited] MPEG Media Transport Technologies and Its Application to Immersive Media Communication Services

Takayuki Nakachi

IEEE International Conference on Integrated Circuits, Design, and Verification (ICDV2017)     2017.10 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Rate-Adaptive FF-LDGM Code with Selective Inter-leaving Scheme

Takayuki Nakachi, Tatsuya Fujii

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2016) ( IEEE )    116 - 121   2016.10 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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This paper introduces a rate-adaptive FireFort-LDGM (FF-LDGM) code for MMT adaptive Application Layer FEC (AL-FEC). The FF-LDGM code is an ISO/IEC MPEG international standard issued in Feb. 2015. It can handle a wade range of block lengths from a small number of packets to several thousands of packets. Especially, it is useful for real-time UHD video transmission. In this paper, we focus on recent advances in the rate adaptive FF-LDGM code. It provides a rate adaptive function that allows the coding rate to be adaptively changed to suit the network characteristic. We improve the error recovery performance of the rate-adaptive scheme by using selective interleaving. Simulation results demonstrate its superior adaptive performance.

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[Best Paper Award] Layered Lossless Video Coding based on Slepian-Wolf Theorem

Takayuki Nakachi, Tatsuya Fujii

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2015)     652 - 657   2015.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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Robust UHD Video Transmission using MMT FireFort-LDGM Code

Takayuki Nakachi, Yoshihide Tonomura, Daisuke Shirai, Takahiro Yamaguchi, Tatsuya Fujii

2015 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2015) ( Institute of Electrical and Electronics Engineers Inc. )    2015.07 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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This paper introduces a FireFort-LDGM (FF-LDGM) code that is part of ISO/IEC 23008-10 (MMT AL-FEC codes) and its application to robust Ultra High Definition (UHD) video transmission. It is especially useful for UHD real-time video streaming because that it can easily handle contiguous streams containing over several thousand packets. Simulation results show its high error recovery performance with low-complexity. We also show a robust UHD video transmission scheme that uses the FF-LDGM code and its feasibility via 8K Super High-Vision live streaming over global shared IP networks at FIFA World Cup 2014 Brazil.

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Robust UHD Video Transmission using MMT FireFort-LDGM Code

Takayuki Nakachi, Yoshihide Tonomura, Daisuke Shirai, Takahiro Yamaguchi, Tatsuya Fujii

IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2015)     2015.07 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

A Failure-tolerant and Spectrum-efficient Wireless Data Center Network Design for Improving Performance of Big Data Mining

Katsuya Suto, Hiroki Nishiyama, Nei Kato, Takayuki Nakachi, Toshikazu Sakano, Atsushi Takahara

IEEE Vehicular Technology Conference (VTC2015 Spring) ( IEEE )    2015.05 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

An MDRU Distributed Storage System Using Layered LDGM Codes

Takayuki Nakachi, Atsushi Okada, Tatsuya Fujii

International Symposium on signal, Image, Video and Communications (ISIVC2014)     2014.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

MMT AL-FEC Codes for Networked Distributed Storage

Takayuki Nakachi, Atsushi Okada, Tatsuya Fujii

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2014) ( IEEE )    2014.11 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

Toward Integrating Overlay and Physical Networks for Robust Parallel Processing Architecture

Katsuya Suto, Hiroki Nishiyama, Nei Kato, Takayuki Nakachi, Tatsuya Fujii, Atsushi Takahara

IEEE Network ( IEEE )    2014.07 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

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An Overlay Network Construction Technique for Minimizing the Impact of Physical Network Disruption in Cloud Storage Systems

Katsuya Suto, Hiroki Nishiyama, Nei Kato, Takayuki Nakachi, Tatsuya Fujii, Atsushi Takahara

IEEE International Conference on Computing, Networking and Communications (ICNC2014) ( IEEE )    2014.02 [ Peer Review Accepted ]

Type of publication: Research paper (international conference proceedings)

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