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Technical Committee on Complex Communication Sciences (CCS)  (2018)

Chair: Makoto Naruse (NICT)
Vice Chair: Shigeki Shiokawa (Kanagawa Inst. of Tech.), Tetsuya Asai (Hokkaido Univ.)
Secretary: Chisa Takano (Hiroshima City Univ.), Yusuke Kawakita (Kanagawa Inst. of Tech.)
Assistant: Hidehiro Nakano (Tokyo City Univ.), Kazuki Nakada (Tsukuba Univ. of Tech.), Hiroyasu Ando (Tsukuba Univ.), Takashi Matsubara (Kobe Univ.)

Search Results: Keywords 'from:2018-11-22 to:2018-11-22'

[Go to Official CCS Homepage] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 13件中 1~13件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2018-11-22
Hyogo Kobe Univ. On bifurcation phenomena of a spiking neuron model based on asynchronous cellular automaton
Kentaro Takeda (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-33
 [more] CCS2018-33
CCS 2018-11-22
Hyogo Kobe Univ. On characteristics of an asynchronous cellular automaton reservoir
Taiki Naka (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-34
 [more] CCS2018-34
CCS 2018-11-22
Hyogo Kobe Univ. On bifurcation phenomena of a gene network model based on asynchronous cellular automaton
Takuya Yoshimoto (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-35
In this paper, we consider a modeling method of a gene network, which simulates dynamics of repair of DNA damage, using ... [more] CCS2018-35
CCS 2018-11-22
Hyogo Kobe Univ. Optimal Configuration based on Constraint Programming for Wireless Mesh Networks with Multi-Interface in IEEE802.11 Infrastructure Mode
Tomoki Takahashi (Kobe Univ.), Taka Maeno (Space-Time Engineering), Yumi Takaki, Tomio Kamada, Chikara Ohta, Naoyuki Tamura (Kobe Univ.) CCS2018-36
In multi-channel wireless mesh networks (MC-WMNs), high throughput is achieved throughout network when appropriate chann... [more] CCS2018-36
CCS 2018-11-22
Hyogo Kobe Univ. Analyses of burst phenomena of a piece-wise constant neuron model
Chiaki Matsuda (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-37
In this paper, a modified piece-wise constant (PWC) neuron model is studied. There are various bifur- cation phenomena a... [more] CCS2018-37
CCS 2018-11-22
Hyogo Kobe Univ. Has the arrowhead market achieved the efficient market ?
Mieko Tanaka-Yamawaki (Meiji Univ.), Masanori Yamanaka (Nihon Univ.) CCS2018-38
We are trying to reveal the nature of price fluctuation of the 2nd stage arrowhead market, by using the whole transactio... [more] CCS2018-38
CCS 2018-11-22
Hyogo Kobe Univ. [Invited Talk] Dynamical robustness of complex networks
Gouhei Tanaka (Univ. Tokyo) CCS2018-39
There are many systems regarded as complex networks in the real world, including engineering networks such as communicat... [more] CCS2018-39
CCS 2018-11-23
Hyogo Kobe Univ. A physiologically based State Transition Model between Wake, REM-sleep and non-REM-sleep state
Kazuya Hirota, Yasuhiro Tsubo (Ritsumeikan Univ.) CCS2018-40
A sleep-wake rhythm is a biological rhythm with a roughly 24-hour period and widely observed in animals. This rhythm con... [more] CCS2018-40
CCS 2018-11-23
Hyogo Kobe Univ. A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] CCS2018-41
CCS 2018-11-23
Hyogo Kobe Univ. [Invited Talk] Error-correction in neuro-inspired spike signaling
Ferdinand Peper (NICT) CCS2018-42
Inspired by the spike-based signaling between neurons, we introduce impulse-based signaling for wireless communication, ... [more] CCS2018-42
CCS 2018-11-23
Hyogo Kobe Univ. Dynamics analysis and application of cellular automata with time-variant rules
Takahiro Ozawa, Toshimichi Saito (HU) CCS2018-43
The cellular automata are digital dynamical systems in which time, space, states are all discrete. Depending on a rule, ... [more] CCS2018-43
CCS 2018-11-23
Hyogo Kobe Univ. Digital Spiking Neural Net and approximation of spike-train
Hiroaki Uchida, Toshimichi Saito (HU) CCS2018-44
This paper considers a ring-coupled digital spiking neural network and its hardware implementation. Depending on paramet... [more] CCS2018-44
CCS 2018-11-23
Hyogo Kobe Univ. Hypernetwork-based Implicit Posterior Estimation of CNN
Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] CCS2018-45
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