Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 3, December 2015
Research Article

1. Design and Experimental Evaluation of a Human Skill-Based PID Controller

Yuntao Liao, Toru Yamamoto
Pages: 140 - 143
Nowadays less and less people are willing to do hard works. Which makes that the controller based on human skill is needed. Cerebellar model articulation controller (CMAC) is a kind of neural networks (NNs) that can easily solve problems of nonlinear system. Compared with other NNs the advantage of CMAC...
Research Article

2. The Effect of Duration of Both Stages of Incremental Genetic Programming on its Efficiency of Evolution of Snakebot

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...
Research Article

3. Development of Chinese Crop Monitoring Model Using Photosynthetic Production Index

Fengzhi Dai, Ruixiang Bai, Daijiro Kaneko, Qihan You
Pages: 148 - 152
For monitoring the early stage of crop growth in China, this paper presents a photosynthesis-based monitoring model for grain production. Not only the normalized difference vegetation index and elements such as the growing degree day are considered, the factors of sunshine and the cost of water resource...
Research Article

4. A proposal for teaching programming through the Five-Step Method

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...
Research Article

5. Probability of mixing up the nearest neighbor robot under target enclosure by robot swarm

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....
Research Article

6. Research on the BP-network-based Iris Recognition

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...
Research Article

7. Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis

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...
Research Article

8. A Reduced-Complexity Interacting Multiple Model Algorithm for Location Tracking in Heterogeneous Observation

Xiaoyan Fu, Yuanyuan Shang
Pages: 173 - 176
This paper is devoted to the problem of state estimate of discrete-time stochastic systems. A low-complexity and high accuracy algorithm is presented to reduce the computational load of the traditional interacting multiple model algorithm with heterogeneous observations for location tracking. By decoupling...
Research Article

9. TFVIS: a Supporting Debugging Tool for Java Programs by Visualizing Data Transitions and Execution Flows

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...
Research Article

10. Classification of Japanese Documents and Ranking of Representative Documents by Using the Characteristic of the Frequencies of Words

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...
Research Article

11. Study on the ORB algorithm in the application of Monocular SLAM

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...
Research Article

12. Security Evaluation System for Android Applications Using User's Reviews and Permissions

Naonobu Okazaki, Yoshihiro Kita, Kentaro Aburada, Mirang Park
Pages: 190 - 193
Leakage of the important data in mobile terminals by mal-applications is becoming a serious threat. The users must be careful not to install mal-applications. Application markets provide the application’s reviews and using permissions at the application downloading. However, the most of users check the...
Research Article

13. Selecting Words and Notation Using Literary Data in the Integrated Narrative Generation System

Jumpei Ono, Takashi Ogata
Pages: 194 - 199
This paper presents a way for selecting noun concepts based on the analysis of appearance frequency of noun words in the data of modern Japanese novels (“Aozora Bunko”). The proposed method is incorporated into some mechanisms in our integrated narrative generation system (INGS). We also show an overview...
Research Article

14. Development of an Intelligent Assistant Robot based on Embedded RTOS

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...
Research Article

15. Prototype of a Decision Table Generation Tool from the Formal Specification

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...