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Technical Committee on Complex Communication Sciences (CCS) (Searched in: 2022)
Search Results: Keywords 'from:2022-06-09 to:2022-06-09'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS, NLP | 2022-06-09 13:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Conditional entropy based DDoS Attack detection in Software Defined Network Tian QiWen, miyata sumiko (SIT)  NLP2022-1 CCS2022-1 |
In order to detect each network attack in an SDN environment, an attack detection method has been proposed based on the ... [more] | NLP2022-1 CCS2022-1 pp.1-6 |
| CCS, NLP | 2022-06-09 13:25 |
Osaka | (Primary: On-site, Secondary: Online) |
Learning Method for Image Denoising by Weighted Sum of Perceptual Quality Assessment Methods Takamichi Miyata (Chiba Inst. Tech.) NLP2022-2 CCS2022-2 |
Existing deep learning-based denoising methods employ mean squared error (MSE) as a loss function. As a result, the outp... [more] | NLP2022-2 CCS2022-2 pp.7-12 |
| CCS, NLP | 2022-06-09 13:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Learning Performance by Using a Symmetric Constraint Condition in PPO Naoki Iwaya, Hidehiro Nakano (Tokyo City Univ.) NLP2022-3 CCS2022-3 |
Deep Reinforcement Learning (DRL) is an algorithm of learning the optimal action from the experiences. PPO KL Penalty, a... [more] | NLP2022-3 CCS2022-3 pp.13-16 |
| CCS, NLP | 2022-06-09 14:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Recognition Accuracy by Sequential Execution of Unsupervised Learning and Semi-supervised Learning Hiroki Murakami, Hidehiro Nakano (Tokyo City Univ.) NLP2022-4 CCS2022-4 |
In this study, we propose a sequential learning method that improves recognition accuracy by alternately utilizing the k... [more] | NLP2022-4 CCS2022-4 pp.17-22 |
| CCS, NLP | 2022-06-09 14:55 |
Osaka | (Primary: On-site, Secondary: Online) |
Basic Performance of CNNs Using Dynamic Filters Based on Octave Convolution Kiyotaka Matono, Hidehiro Nakano (Tokyo City Univ.) NLP2022-5 CCS2022-5 |
The methods of using dynamic filters for convolutional neural networks (CNNs) have attracted attentions. In recent years... [more] | NLP2022-5 CCS2022-5 pp.23-26 |
| CCS, NLP | 2022-06-09 15:20 |
Osaka | (Primary: On-site, Secondary: Online) |
Speeding-up by Reduction of Processing Paths in Octave Convolution Akito Yoshikawa, Hidehiro Nakano (Tokyo City Univ.) NLP2022-6 CCS2022-6 |
Octave Convolution (OctConv), one of the convolutional neural network methods, can also improve accuracy while reducing ... [more] | NLP2022-6 CCS2022-6 pp.27-30 |
| CCS, NLP | 2022-06-09 15:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Reservoir computing with spiking neural networks and reward-modulated STDP Takayuki Tsurumi, Gouhei Tanaka (UTokyo) NLP2022-7 CCS2022-7 |
In a previous study, it was verified that tasks requiring nonlinearity and working memory can be performed using reward-... [more] | NLP2022-7 CCS2022-7 pp.31-35 |
| CCS, NLP | 2022-06-09 16:25 |
Osaka | (Primary: On-site, Secondary: Online) |
User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2022-8 CCS2022-8 |
Many historically attractive and valuable images are taken as gray-scale images. On the other hand, since color informa... [more] |
NLP2022-8 CCS2022-8 pp.36-39 |
| CCS, NLP | 2022-06-09 16:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2022-9 CCS2022-9 |
With the rapid development of the IoT, there has been an increasing need to process the data on microcomputers equipped ... [more] | NLP2022-9 CCS2022-9 pp.40-45 |
| CCS, NLP | 2022-06-09 17:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10 |
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] | NLP2022-10 CCS2022-10 pp.46-51 |
| CCS, NLP | 2022-06-09 17:40 |
Osaka | (Primary: On-site, Secondary: Online) |
Speeding up an algorithm for searching generalized Moore graphs Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-11 CCS2022-11 |
Computer networks in data centers are modeled as undirected regular graphs, and the average shortest path length (ASPL) ... [more] | NLP2022-11 CCS2022-11 pp.52-57 |
| CCS, NLP | 2022-06-10 09:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Yusuke Goto (Chukyo Univ.), Hiroyuki Asahara (Okayama Univ. of Science), Takuji Kousaka (Chukyo Univ.), Daisuke Ito (Gifu Univ.) NLP2022-12 CCS2022-12 |
[more] | NLP2022-12 CCS2022-12 pp.58-61 |
| CCS, NLP | 2022-06-10 09:25 |
Osaka | (Primary: On-site, Secondary: Online) |
On Auto-Correlation Properties of Random Numbers Generated by Two Markov Binary Sequences Shuzo Okuno, Akio Tsuneda (Kumamoto Univ.) NLP2022-13 CCS2022-13 |
Markov binary sequences generated by 2-state Markov source are one of typical information sources and they have exponent... [more] | NLP2022-13 CCS2022-13 pp.62-65 |
| CCS, NLP | 2022-06-10 09:50 |
Osaka | (Primary: On-site, Secondary: Online) |
On a Synchronization Method for Two Peicewise Affine Oscillators with Arbitrary Phase Differences Fumino Suzuki, Tatsuya Kai (Tokyo Univ. of Science), Kaho Ohtsuki (Yokogawa Solution Service Corp.) NLP2022-14 CCS2022-14 |
[more] | NLP2022-14 CCS2022-14 pp.66-71 |
| CCS, NLP | 2022-06-10 10:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Multivibrator as Slow-fast Dynamics
-- Basic Bifurcation Phenomena and Canard Solutions -- Seiya Amoh, Tetsushi Ueta (Tokushima Univ.), Hiroshi Kawakami NLP2022-15 CCS2022-15 |
Slow-fast dynamical systems are systems of ordinary differential equations involving different time constants. Systems ... [more] |
NLP2022-15 CCS2022-15 pp.72-77 |
| CCS, NLP | 2022-06-10 10:55 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation and learning based on dual stochasticity of the brain Jun-nosuke Teramae (Kyoto Univ.) NLP2022-16 CCS2022-16 |
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] | NLP2022-16 CCS2022-16 pp.78-83 |
| CCS, NLP | 2022-06-10 13:00 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Trends and future prospects of non-terrestrial and terrestrial integrated networks Takashi Watanabe, Shunsuke Saruwatari, Takuya Fujihashi (Osaka Univ.) NLP2022-17 CCS2022-17 |
[more] | NLP2022-17 CCS2022-17 pp.84-87 |
| CCS, NLP | 2022-06-10 14:00 |
Osaka | (Primary: On-site, Secondary: Online) |
A study on synergistic effects of online user dynamics by multiple users Mio Harada, Masaki Aida (Tokyo Metropolitan Univ.) NLP2022-18 CCS2022-18 |
The oscillation model for online social networks describes the propagation of influences among users at finite speeds. ... [more] |
NLP2022-18 CCS2022-18 pp.88-93 |
| CCS, NLP | 2022-06-10 14:25 |
Osaka | (Primary: On-site, Secondary: Online) |
The skeletal structure of transition probabilities on quantum-walk-replicating random walks Tomoki Yamagami (UTokyo), Etsuo Segawa (YNU), Ken'ichiro Tanaka, Takatomo Mihana, Andre Roehm, Ryoichi Horisaki, Makoto Naruse (UTokyo) NLP2022-19 CCS2022-19 |
In this report, we analyze the transition probabilities of random walk replicating the probability distribution of quant... [more] | NLP2022-19 CCS2022-19 pp.94-99 |
| CCS, NLP | 2022-06-10 14:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Optimal preference satisfaction for conflict-free joint decisions Hiroaki Shinkawa, Nicolas Chauvet (Univ. Tokyo), Guillaume Bachelier (Univ. Grenoble Alpes), Andre Roehm, Ryoichi Horisaki, Makoto Naruse (Univ. Tokyo) NLP2022-20 CCS2022-20 |
We all have preferences when multiple choices are available. If we insist on satisfying our preferences only, we may suf... [more] | NLP2022-20 CCS2022-20 pp.100-105 |
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