Information, Production and Systems Research Center

  • Japan

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Network Programming Mathematics
Classifiers Engineering & Materials Science
Genetic Network Mathematics
Genetic Programming Mathematics
Support vector machines Engineering & Materials Science
Quartz Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Throughput Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Michael Conrad Meyer

Michael Conrad Meyer

Person: Academic

20142019
No photo of Xun Pan

Xun Pan

Person: Academic

20142019
No photo of Kacper Pawel Radzikowski
20162019

Research Output 1976 2019

A Time-based Leakage-aware Algorithm for Task Placement and Scheduling Problem on Dynamic Reconfigurable FPGA

Zhou, T., Pan, T., Bao, Z. & Watanabe, T., 2019 Jan 2, 2018 5th International Conference on Systems and Informatics, ICSAI 2018. Institute of Electrical and Electronics Engineers Inc., p. 501-506 6 p. 8599330. (2018 5th International Conference on Systems and Informatics, ICSAI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Field programmable gate arrays (FPGA)
Scheduling
Energy dissipation
Parallel processing systems
Integrated circuits

Automatic Training Data Generation Method for Pixel-Level Road Lane Segmentation

Pan, X., Wu, Y. & Ogai, H., 2019 Jan 1, Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. Tseng, S-P., Sui, B., Pan, J-S. & Lin, J. C-W. (eds.). Springer-Verlag, p. 473-481 9 p. (Advances in Intelligent Systems and Computing; vol. 834).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Semantics
Personnel
Neural networks
Experiments
Lane Detection
Convolution
Labeling
Computer vision
Pixels