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Hideki Takase
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2020 – today
- 2024
- [c29]Satoshi Okada, Houda Jmila, Kunio Akashi, Takuho Mitsunaga, Yuji Sekiya, Hideki Takase, Gregory Blanc, Hiroshi Nakamura:
XAI-driven Adversarial Attacks on Network Intrusion Detectors. EICC 2024: 65-73 - [c28]Ryota Miyagi, Hideki Takase:
Ph.D. Project: Field-Programmable Computing for Bayesian Network Structure Learning. FCCM 2024: 229-230 - [c27]Ai Nozaki, Takuya Kojima, Hiroshi Nakamura, Hideki Takase:
MLIR-Based Homomorphic Encryption Compiler for GPU. HEART 2024: 130-132 - [c26]Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
A Scalable Mapping Method for Elastic CGRAs. IPDPS (Workshops) 2024: 650-657 - 2023
- [j11]Satoshi Okada, Kunio Akashi, Daisuke Miyamoto, Yuji Sekiya, Hideki Takase, Hiroshi Nakamura:
Memory-saving LDoS Attacker Detection Algorithms in Zigbee Network. J. Inf. Process. 31: 537-549 (2023) - [c25]Yusuke Yamasaki, Hideki Takase:
F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation. CCNC 2023: 682-683 - [c24]Daisuke Sasaki, Hiroki Kashiwazaki, Mitsuhiro Osaki, Kazuma Nishiuchi, Ikuo Nakagawa, Shunsuke Kikuchi, Yutaka Kikuchi, Shintaro Hosoai, Hideki Takase:
Resource Allocation Methods among Server Clusters in a Resource Permeating Distributed Computing Platform for 5G Networks. COMPSAC 2023: 1133-1140 - [c23]Yusuke Kanamori, Yusuke Yamasaki, Shintaro Hosoai, Hiroshi Nakamura, Hideki Takase:
An asynchronous federated learning focusing on updated models for decentralized systems with a practical framework. COMPSAC 2023: 1147-1154 - [c22]Ryota Miyagi, Ryota Yasudo, Kentaro Sano, Hideki Takase:
Performance Modeling and Scalability Analysis of Stream Computing in ESSPER FPGA Clusters. ICFPT 2023: 262-265 - [c21]Kaito Kutsuna, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
An Area-Efficient Coarse-Grained Reconfigurable Array Design for Approximate Computing. MCSoC 2023: 59-64 - [c20]Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
ILP Based Mapping for Elastic CGRAs. RTCSA 2023: 281-282 - 2022
- [c19]Ryota Miyagi, Ryota Yasudo, Kentaro Sano, Hideki Takase:
Elastic Sample Filter: An FPGA-based Accelerator for Bayesian Network Structure Learning. FPT 2022: 1 - 2021
- [c18]Ryota Miyagi, Naofumi Takagi, Sho Kinoshista, Masashi Oda, Hideki Takase:
Zytlebot : FPGA integrated ros-based autonomous mobile robot. FPT 2021: 1-4 - [c17]Satoshi Okada, Daisuke Miyamoto, Yuji Sekiya, Hideki Takase, Hiroshi Nakamura:
LDoS Attacker Detection Algorithms in Zigbee Network. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 43-50 - 2020
- [j10]Hideki Takase, Tomoya Mori, Kazuyoshi Takagi, Naofumi Takagi:
mROS: A Lightweight Runtime Environment of ROS 1 nodes for Embedded Devices. J. Inf. Process. 28: 150-160 (2020) - [c16]Yasuhiro Nitta, Hideki Takase:
An FPGA Accelerator for Bayesian Network Structure Learning with Iterative Use of Processing Elements. FPT 2020: 29-34
2010 – 2019
- 2019
- [c15]Hideki Takase, Kentaro Matsui, Yoshihiro Ueno, Masakazu Mori, Yuki Hisae, Susumu Yamazaki:
A concept of a hardware design environment with the functional language elixir: work-in-progress. CODES+ISSS 2019: 5:1-5:2 - [c14]Yasuhiro Nitta, Sou Tamura, Hideki Takase:
ZytleBot: FPGA Integrated Development Platform for ROS Based Autonomous Mobile Robot. FPL 2019: 422-423 - [c13]Hideki Takase, Tomoya Mori, Kazuyoshi Takagi, Naofumi Takagi:
mROS: A Lightweight Runtime Environment for Robot Software Components onto Embedded Devices. HEART 2019: 7:1-7:6 - [c12]Yasuhiro Nitta, Sou Tamura, Hidetoshi Yugen, Hideki Takase:
ZytleBot: FPGA Integrated Development Platform for ROS Based Autonomous Mobile Robot. FPT 2019: 445-448 - 2018
- [c11]Hideki Takase, Tomoya Mori, Kazuyoshi Takagi, Naofumi Takagi:
Design concept of a lightweight runtime environment for robot software components onto embedded devices: work-in-progress. EMSOFT 2018: 6 - [c10]Yasuhiro Nitta, Sou Tamura, Hideki Takase:
A Study on Introducing FPGA to ROS Based Autonomous Driving System. FPT 2018: 421-424 - 2016
- [c9]Hideki Takase, Kazumi Aono, Yutaka Matsubara, Kazuyoshi Takagi, Naofumi Takagi:
An evaluation framework of OS-level power managements for the big.LITTLE architecture. NEWCAS 2016: 1-4 - 2015
- [j9]Takuya Hatayama, Hideki Takase, Kazuyoshi Takagi, Naofumi Takagi:
An Allocation Optimization Method for Partially-reliable Scratch-pad Memory in Embedded Systems. Inf. Media Technol. 10(3): 420-424 (2015) - [j8]Takuya Hatayama, Hideki Takase, Kazuyoshi Takagi, Naofumi Takagi:
An Allocation Optimization Method for Partially-reliable Scratch-pad Memory in Embedded Systems. IPSJ Trans. Syst. LSI Des. Methodol. 8: 100-104 (2015) - 2014
- [j7]Hideki Takase, Gang Zeng, Lovic Gauthier, Hirotaka Kawashima, Noritoshi Atsumi, Tomohiro Tatematsu, Yoshitake Kobayashi, Takenori Koshiro, Tohru Ishihara, Hiroyuki Tomiyama, Hiroaki Takada:
An Integrated Framework for Energy Optimization of Embedded Real-Time Applications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(12): 2477-2487 (2014) - [j6]Akihiro Suda, Hideki Takase, Kazuyoshi Takagi, Naofumi Takagi:
Nested Loop Parallelization Using Polyhedral Optimization in High-Level Synthesis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(12): 2498-2506 (2014) - [c8]Kazumi Aono, Atsushi Iwata, Hideki Takase, Kazuyoshi Takagi, Naofumi Takagi:
An Operation Scenario Model for Energy Harvesting Embedded Systems and an Algorithm to Maximize the Operation Quality. HPCC/CSS/ICESS 2014: 546-549 - 2013
- [c7]Akihiro Suda, Hideki Takase, Kazuyoshi Takagi, Naofumi Takagi:
A Buffering Method for Parallelized Loop with Non-Uniform Dependencies in High-Level Synthesis. ICA3PP (1) 2013: 390-401 - 2012
- [j5]Hirotaka Kawashima, Gang Zeng, Hideki Takase, Masato Edahiro, Hiroaki Takada:
Efficient Algorithms for Extracting Pareto-optimal Hardware Configurations in DEPS Framework. IPSJ Trans. Syst. LSI Des. Methodol. 5: 133-142 (2012) - 2011
- [j4]Hideki Takase, Hiroyuki Tomiyama, Hiroaki Takada:
Partitioning and Allocation of Scratch-Pad Memory for Energy Minimization of Priority-Based Preemptive Multi-Task Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(10): 1954-1964 (2011) - [c6]Tomohiro Tatematsu, Hideki Takase, Gang Zeng, Hiroyuki Tomiyama, Hiroaki Takada:
Checkpoint Extraction Using Execution Traces for Intra-task DVFS in Embedded Systems. DELTA 2011: 19-24 - [c5]Hideki Takase, Gang Zeng, Lovic Gauthier, Hirotaka Kawashima, Noritoshi Atsumi, Tomohiro Tatematsu, Yoshitake Kobayashi, Shunitsu Kohara, Takenori Koshiro, Tohru Ishihara, Hiroyuki Tomiyama, Hiroaki Takada:
An integrated optimization framework for reducing the energy consumption of embedded real-time applications. ISLPED 2011: 271-276 - 2010
- [c4]Lovic Gauthier, Tohru Ishihara, Hideki Takase, Hiroyuki Tomiyama, Hiroaki Takada:
Minimizing inter-task interferences in scratch-pad memory usage for reducing the energy consumption of multi-task systems. CASES 2010: 157-166 - [c3]Hideki Takase, Hiroyuki Tomiyama, Hiroaki Takada:
Partitioning and allocation of scratch-pad memory for priority-based preemptive multi-task systems. DATE 2010: 1124-1129
2000 – 2009
- 2009
- [j3]Hideki Takase, Hiroyuki Tomiyama, Hiroaki Takada:
Partitioning and Allocation of Scratch-Pad Memory in Priority-Based Multi-Task Systems. Inf. Media Technol. 4(4): 837-845 (2009) - [j2]Hideki Takase, Hiroyuki Tomiyama, Hiroaki Takada:
Partitioning and Allocation of Scratch-Pad Memory in Priority-Based Multi-Task Systems. IPSJ Trans. Syst. LSI Des. Methodol. 2: 180-188 (2009) - [c2]Hideki Takase, Takuya Azumi, Ittetsu Taniguchi, Yutaka Matsubara, Hayato Kanai, Shintaro Hosoai, Midori Sugaya:
History of summer school on embedded system technologies organized by students and young engineers. WESE@ESWEEK 2009: 19-26 - 2008
- [j1]Hideki Takase, Hiroyuki Tomiyama, Gang Zeng, Hiroaki Takada:
Energy efficiency of scratch-pad memory in deep submicron domains: an empirical study. IEICE Electron. Express 5(23): 1010-1016 (2008) - [c1]Hideki Takase, Hiroyuki Tomiyama, Gang Zeng, Hiroaki Takada:
Energy Efficiency of Scratch-Pad Memory at 65 nm and Below: An Empirical Study. ICESS 2008: 93-97
Coauthor Index
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last updated on 2024-09-22 23:35 CEST by the dblp team
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