Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 5 Similar Profiles
Hardware
Engineering & Materials Science
Networks (circuits)
Engineering & Materials Science
Cryptography
Engineering & Materials Science
High-level Synthesis
Mathematics
Field programmable gate arrays (FPGA)
Engineering & Materials Science
Clocks
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1998 2019
Personalized Landmark Recommendation for Language-Specific Users by Open Data Mining
Bao, S., Yanagisawa, M. & Togawa, N., 2019 Jan 1, Studies in Computational Intelligence. Springer-Verlag, p. 107-121 15 p. (Studies in Computational Intelligence; vol. 791).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Data mining
Websites
A hardware-Trojan classification method utilizing boundary net structures
Hasegawa, K., Yanagisawa, M. & Togawa, N., 2018 Mar 26, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-4 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Hardware
Learning systems
Hardware security
A loop structure optimization targeting high-level synthesis of fast number theoretic transform
Kawamura, K., Yanagisawa, M. & Togawa, N., 2018 May 9, 2018 19th International Symposium on Quality Electronic Design, ISQED 2018. IEEE Computer Society, Vol. 2018-March. p. 106-111 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Field programmable gate arrays (FPGA)
Cryptography
Program processors
Hardware
High level synthesis
A low cost and high speed CSD-based symmetric transpose block FIR implementation
Ye, J., Shi, Y., Togawa, N. & Yanagisawa, M., 2018 Jan 8, Proceedings - 2017 IEEE 12th International Conference on ASIC, ASICON 2017. IEEE Computer Society, Vol. 2017-October. p. 311-314 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Costs
Reusability
Digital signal processing
Energy utilization
Processing
A low power soft error hardened latch with schmitt-trigger-based C-Element
Tajima, S., Togawa, N., Yanagisawa, M. & Shi, Y., 2018 Jul 1, In : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E101A, 7, p. 1025-1034 10 p.Research output: Contribution to journal › Article
Soft Error
Trigger
Power Consumption
Electric power utilization
Double Sampling