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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SCE | 2023-01-20 14:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Introduction of a fluctuation mechanism of the oscillation frequency of the oscillator-based random number generator using Josephson oscillation Takeshi Onomi (Fukuoka Inst. Tech.)  SCE2022-15 |
An oscillator-based true random number generator using superconducting single flux quantum circuits and Josephson oscill... [more] | SCE2022-15 pp.12-16 |
| SCE | 2015-08-05 10:25 |
Kanagawa | Yokohama National Univ. | Demonstration of a relaxation oscillator based on a superconducting Schmitt trigger inverter Takeshi Onomi (Fukuoka Inst. Tech.) SCE2015-17 |
A new relaxation oscillator using a superconducting Schmitt trigger inverter is proposed and tested. The superconducting... [more] | SCE2015-17 pp.53-57 |
| MBE, NC (Joint) |
2014-11-21 11:00 |
Miyagi | Tohoku University | A Comparison of Back Propagation Learning between the Inverse-function Delayless Model and a Conventional Model Yuta Horiuchi (Tohoku Univ), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ) NC2014-26 |
For the combinatorial optimization problem using the hopfield model, avoidance of the local minimum problem is important... [more] | NC2014-26 pp.7-10 |
| MBE, NC (Joint) |
2014-11-21 11:25 |
Miyagi | Tohoku University | The Relation between Dispersion of Initial Values and Pre-training of Deep Neural Networks Seitaro Shinagawa (Tohoku univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku univ.) NC2014-27 |
[more] | NC2014-27 pp.11-14 |
| SCE | 2014-07-23 11:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Superconducting Schmitt trigger inverter and its application Takeshi Onomi (Tohoku Univ.) SCE2014-28 |
A new superconducting Schmitt trigger inverter and a relaxation oscillator are proposed. The proposed superconducting Sc... [more] | SCE2014-28 pp.25-29 |
| NLP | 2014-06-30 16:00 |
Miyagi | Tohoku Univ. | Backpropagation learning using inverse function delay-less model Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-25 |
The Inverse function Delayed (ID) model has been proposed as one of novel neural models. ID model has a oscillation capa... [more] | NLP2014-25 pp.27-30 |
| NLP | 2014-06-30 16:25 |
Miyagi | Tohoku Univ. | Study on the hardware of the Bidirectional Associative Memories by using the Inverse Function Delayless model Chunyu Bao, Takeshi Onomi, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2014-26 |
In conventional macro models such as the Hopfield model, the problems that are caused by the solution of the network not... [more] | NLP2014-26 pp.31-36 |
| NLP | 2014-07-01 10:00 |
Miyagi | Tohoku Univ. | Learning Restricted Boltzmann Machine with discrete learning parameter Seitaro Shinagawa (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) NLP2014-27 |
Recently, the method of Deep Neural Network (DNN) with hierarchical learning has been remarkable for performance to solv... [more] | NLP2014-27 pp.37-40 |
| SCE | 2014-01-24 13:15 |
Tokyo | Kikaishinkou-kaikan Bldg. | Analysis of rf-SQUID ladder circuits with a single flux quantum signal for the transmission direction Yuya Tsuji, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) SCE2013-51 |
Although SFQ circuit technique is very predominant in respect of power consumption, the circuit system of a semiconducto... [more] | SCE2013-51 pp.97-100 |
| SCE | 2014-01-24 13:40 |
Tokyo | Kikaishinkou-kaikan Bldg. | Comparison of the final addition circuit in SFQ parallel multiplier with a tree structure partial product adder circuit Akifumi Yamada, Takeshi Onomi, Koji Nakajima (Tohoku Univ.) SCE2013-52 |
A single flux quantum (SFQ) circuit is capable of high-speed operation in a few 10 GHz, and it has a big advantage compa... [more] | SCE2013-52 pp.101-104 |
| NLP | 2010-03-10 10:00 |
Tokyo | Neural Networks and the Application to the 4-Queen Problem Yusuke Maenami, Takeshi Onomi (Tohoku Univ), Yoshihiro Hayakawa (Sendai Nat Coll. of Tech.), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2009-172 |
A combination optimization problem is generally NP difficulty or NP completeness. When problem size becomes large, it is... [more] | NLP2009-172 pp.81-85 |
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