Journal of Robotics, Networking and Artificial Life
Volume 2, Issue 4, March 2016
1. Compensating Temperature-Dependent Characteristics of a Subthreshold-MOSFET Analog Silicon Neuron
Ethan Green, Takashi Kohno
Pages: 209 - 212
Analog silicon neurons are neuro-mimetic VLSI (very-large-scale-integrated) circuits that replicate the electrophysiological behavior of animal nerve tissue. This research focuses on the temperature sensitivity of a subthreshold-MOSFET analog silicon neuron. Subthreshold operation of CMOS transistors...
Kei Iwata, Hirozumi Oku, Yuki Okane, Yohei Asano, Masaki Tatani, Yuki Ishihara, Kazuki Sugita, Satohiro Chiba, Satoko Ono, Mizuki Abe, Minami Takato, Ken Saito, Fumio Uchikoba
Pages: 213 - 216
We report the hexapod microrobot controlled by the bare chip IC of hardware neural networks. MEMS (micro electro mechanical systems) technology is used for fabrication of the microrobot. Lead zirconium titanate (PZT) and shape memory alloy (SMA) are used in each actuator, respectively. As the result,...
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
Pages: 217 - 220
How to select the appropriate frequency band to classify EEG signal by motor imagery is discussed in this paper. Our proposal is an improvement of the conventional Bayesian Spatio-Spectral Filter Optimization (BSSFO). Defect of BSSFO is on the way to generate the renewal particle of the filter bank,...
Kuo-Hsien Hsia, Bo-Yi Li, Kuo-Lan Su
Pages: 221 - 225
Pattern reformation problem on a grid plane is an interesting problem. Suppose there is a group of mobile robots on a square grid plane with the number of robots equaling to the number of columns/rows of the grid plane. The mobile robots are commanded to change to another formation as soon as possible....
Lin Li, Heyang Wang
Pages: 226 - 229
This paper deals with the consensus problem for multi-agent systems with fixed topologies. The agents are described by Lipschitz nonlinear systems. Only output information of each agent can be obtained from its neighbor agents. A distributed adaptive consensus algorithm via dynamic output feedback is...
6. Feature Linking using Synchronized Responses in Chaotic Cellar Neural Networks for Visual Stimulus of Moving Objects
Akihiro Yamaguchi, Satoshi Arakane, Masao Kubo
Pages: 230 - 233
A feature-linking mechanism using the synchronized responses of neural assemblies was studied for chaotic cellar neural networks (Chaotic-CNN). Chaotic-CNNs consist of chaotic spike response neurons that show chaotic inter-spike-interval dynamics. In our scheme of feature linking, the features of the...
7. Fast collective photographic subject detection without pixels by an assumption about a shoot and its elevation angle
Sora Tanioka, Masao Kubo, Hiroshi Sato
Pages: 234 - 237
In this paper a method that discovers socially attracted photographic subjects in real time is proposed. This needs only non-pixel information of a digital photograph for this discovery which include a time of shoot, GPS location where a photograph is taken, a bearing of the shoot and so on. Thinformation...
Takuya Nanami, Takashi Kohno
Pages: 238 - 242
A DSSN model is a neuron model which is designed to be implemented efficiently by digital arithmetic circuit. In our previous study, we expanded this model to support the neuronal activities of several cortical and thalamic neurons; Regular spiking, fast spiking, intrinsically bursting and low-threshold...
9. A Design Plan of a Game System including an Automatic Narrative Generation Mechanism: The Entire Structure and the World Settings
Jumpei Ono, Takashi Ogata
Pages: 243 - 246
In this paper, we propose a narrative generation system based on the scenario generation method in tabletop role-playing games (TRPGs). This system uses an integrated narrative generation system (INGS) that synthesizes various narrative generation mechanisms. The TRPG is an analog game in which one or...
Wisanu Jitviriya, Jiraphan Inthiam, Eiji Hayashi
Pages: 247 - 251
Currently, the rapid development of non-industrial robots that are designed with artificial intelligence (AI) methods to improve the robotics system is to have them imitate human thinking and behavior. Therefore, our works have focused on studying and investigating the application of brain-inspired technology...
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Pages: 252 - 257
The deep feedback Group Method of Data Handling (GMDH)-type neural network is applied to the medical image diagnosis of lung cancer. The deep feedback GMDH-type neural network can identified very complex nonlinear systems using heuristic self-organization method which is a type of evolutionary computation....
Taro Asada, Yasunari Yoshitomi, Airi Tsuji, Ryota Kato, Masayoshi Tabuse, Noriaki Kuwahara, Jin Narumoto
Pages: 258 - 262
We have been developing a method for analyzing the facial expressions of a person using a video phone system (Skype) to talk to another person. The video is recorded and analyzed by image processing software (OpenCV) and the newly proposed feature vector of facial expression. The newly proposed facial...
Meng Duan, Yingmin Jia
Pages: 263 - 267
This paper investigates the stability control for a 2 DOF magnetic levitation system with uncertain parameters and external disturbance. The electromagnetic forces between the magnets and coils are obtained by numerical calculation. Then, an adaptive sliding mode controller is proposed to deal with the...
Makoto Nagatomo, Makoto Sakamoto, Hikaru Susaki, Tuo Zhang, Satoshi Ikeda, Hiroshi Furutani, Tsutomu Ito, Takao Ito, Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 268 - 271
In this paper, we investigate multi-dimensional computational model, k-neighborhood template A-type three-dimensional bounded cellular acceptor on four-dimensional tapes, and discuss some basic properties. This model consists of a pair of a converter and a configuration-reader. The former converts the...
Tsutomu Ito, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Sakamoto Makoto, Satoshi Ikeda
Pages: 272 - 275
The current manuscript reviews the literature associated with corporate strategy, and proposes a new approach of acceleration to measure momentum based on limited cycle theory. Thus, this research manuscript makes a contribution to extant thought by: 1) Defining momentum, 2) Discussing the nature of...