Journal of Robotics, Networking and Artificial Life

ISSN: 2352-6386
Volume 2, Issue 3, December 2015
Naoki Mukosaka, Yasuto Nishiwaki, Ivan Tanev, Katsunori Shimohara
Pages: 144 - 147
The objective of our work is to investigate the optimal combination of durations of both stages of incremental Genetic Programming (IncGP) on the simulated Snake-like robots (Snakebots). The obtained results suggest that the number of generations cannot be used as criteria for separating the two stages...
Yasuo Uchida, Seigo Matsuno, Takao Ito, Makoto Sakamoto
Pages: 153 - 156
We have proposed a new method of advancing from CS Unplugged through the new process of CS Plugged to full-fledged computer programming languages, as a means of deepening understanding in computer programming education. We also have proposed a new Five-Step Method consisting of the following steps: Step...
Masao Kubo, Hiroshi Sato, Akihiro Yamaguchi, Eugene Kitamura, Akira Namatame
Pages: 157 - 161
This paper analyzes conditions in which a robotic swarm with a simplest communication device can succeed to enclose a target. The robots have to know directions to their each nearest neighbors. Each robot has a same signal emitter like a torch and they can observe the sum of the intensity of their torches....
Fengzhi Dai, Li Fan, Chunyu Yu, Bo Liu, Ruixiang Bai
Pages: 162 - 165
Iris recognition is the highly trusted identification recognition technology among methods of biological recognition. In this paper, we use the back propagation algorithm to train the neural network, so as to establish the iris recognition system model. The experiment demonstrates that it has a high...
Tadashi Kondo, Junji Ueno, Shoichiro Takao
Pages: 166 - 172
In this study, a deep Group Method of Data Handling (GMDH)-type neural network using principal component-regression is applied to the medical image recognition of the heart regions. The deep GMDH-type neural network algorithm can organize the neural network architecture with many hidden layers fitting...
Tetsuro Katayama, Hiroto Nakamura, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Pages: 177 - 181
TFVIS (transitions and flow visualization) can perform the visualization of data transitions and the visualization of execution flows. The visualization of data transitions shows the flow of variable renewals in executing programs. It becomes easier to grasp the behavior in executing the programs whose...
Jun Kimura, Yasunari Yoshitomi, Masayoshi Tabuse
Pages: 182 - 185
We developed a method for classification of Japanese documents and ranking of representative documents by using the characteristic of the frequencies of nouns. A representative document is defined as a document whose feature vector is the closest to the center of gravity of the class in the feature vector...
Jiwu Wang, Shunkai Zheng, Yao Du, Sugisaka Masanori
Pages: 186 - 189
In order to reduce the accumulative errors in our monocular SLAM (simultaneous localization and mapping), the loop closing (detection + correction) method based on PTAM (Parallel Tracking and Mapping) is applied. Here natural environment features are necessary to be extracted efficiently, so the ORB...
Fengzhi Dai, Yuan Li, Guodong You
Pages: 200 - 204
The paper focuses on the development of a wheeled intelligent robot that could be applied in hospitals or nursing homes for medical assistance. It includes two microcontrollers, MC9S12XS128 and STC89C52. The program is basically achieved on CodeWarrior 5.0, Keil ?Vision4 with the OpenCV library, porting...
Tetsuro Katayama, Kenta Nishikawa, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Pages: 205 - 208
This research has implemented a prototype of a decision table generation tool from the specification (the formal specification) described in a formal specification language. This paper uses the formal specification description language VDM++ which is the lightweight formal methods VDM (Vienna Development...