Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 4, March 2018

1. Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning

Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Pages: 260 - 264
Hinton’s deep auto-encoder (DAE) with multiple restricted Boltzmann machines (RBMs) is trained by the unsupervised learning of RBMs and fine-tuned by the supervised learning with error-backpropagation (BP). Kuremoto et al. proposed a deep belief network (DBN) with RBMs as a time series predictor, and...

2. Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning

Takaaki Namba, Yoji Yamada
Pages: 265 - 269
Slip-induced fall is one of the main factors causing serious fracture injuries among the elderly. In this paper, we propose a fall risk reduction measures for the elderly, based on deep reinforcement learning using mobile assistant robots. Our method involves online real-time risk analysis and risk...

3. k-Neighborhood Template A-Type Two-Dimensional Bounded Cellular Acceptors

Makoto Sakamoto, Yu-an Zhang, Masamichi Hori, Haruka Tsuboi, Satoshi Ikeda, Kenji Aoki, Tsutomu Ito, Takao Ito, Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 270 - 274
In this paper, we deal with three-dimensional computational model, k-neighborhood template A-type two-dimensional bounded cellular acceptor on three-dimensional tapes, and discuss some basic properties. This model consists of a pair of a converter and a configuration-reader. The former converts the given...

4. Motion Improvement of Four-Wheeled Omnidirectional Mobile Robots for Indoor Terrain

Amornphun Phunopas, Shinichi Inoue
Pages: 275 - 282
The four-wheeled omnidirectional platform is great to use for an indoor mobile robot. It can increasingly move and change heading directions. However, the robot is easy to slip when it is moving. One or more wheels are sometimes not touching the ground. This paper approaches to solving these problems...

5. Enhancing EEG Signals Recognition Using ROC Curve

Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Pages: 283 - 286
Mental tasks, such as calculation, reasoning, motor imagery, etc., can be recognized by the pattern of electroencephalograph (EEG) signals. So EEG signal recognition plays an important role in brain-computer interaction (BCI). In this study, to enhance the ability of classifiers such as support vector...

6. Color and Shape based Method for Detecting and Classifying Card Images

Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu
Pages: 287 - 290
This paper proposes an effective method for detecting and classifying card images by using color and shape features. We extract the card color area using color information and remove low possibility regions based on shape feature. Then, we classify the image by taking classroom size and camera distance....

7. Development of Integral Smart Home Appliances

Fengzhi Dai, Yuxing Ouyang, Yiqiao Qin, Ce Bian, Baochang Wei, Shengbiao Chang, Bo Liu
Pages: 291 - 294
The integral smart home appliances are developed for monitoring and control the household devices. The WI-FI module is used for wireless network communication, so as to upload information of all connected smart home appliances to the server. The home appliances can also be remotely controlled by the...

8. Trust of Virtual Agent in Multi Actor Interactions

Halimahtun M. Khalid, Liew Wei Shiung, Voong Bin Sheng, Martin G. Helander
Pages: 295 - 298
Trust is crucial when integrating virtual agents in human teams. Our study investigated the combined use of psychological and physiological measures in predicting human trust of agents undertaking social tasks. The psychological measures comprised trust scores on ability, benevolence and integrity....

9. Study of real-time biomimetic CPG on FPGA: behavior and evolution

Timothée Levi, Yanchen Guo, Kazuyuki Aihara, Takashi Kohno
Pages: 299 - 302
Locomotion is one of the most basic abilities in animals. Neurobiologists have established that locomotion results from the activity of half-center oscillators that provides alternation of bursts. Central Pattern Generators (CPGs) are neural networks capable of producing rhythmic patterned outputs...

10. Artificial Immune Ecosystems: the role of expert-based learning in artificial cognition

Pierre Parrend, Fabio Guigou, Julio Navarro, Aline Deruyver, Pierre Collet
Pages: 303 - 307
The rapid evolution of IT ecosystems significantly challenges the security models our infrastructures rely on. Beyond the old dichotomy between open and closed systems, it is now necessary to handle securely the interaction between heterogeneous devices building dynamic ecosystems. To this regard, bio-inspired...

11. An Automated Optical Inspection system for a tube inner circumference state identification

Chung-Wen Hung, Jhen-Gu Jiang, Hsien-Huang P. Wu, Wei-Lung Mao
Pages: 308 - 311
An automated optical inspection, AOI, system for a chopstick tube inner circumference state identification is proposed. This AOI system is installed after the material feed equipment to screen for cost reduction. The tube status identification is based on the proposed machine vision software, and implemented...

12. Regression Analysis Based Variance Estimation of Gaussian Distribution for Histogram Matching

Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Kazuaki Ando, Yo Horikawa, R. P. C. Janaka Rajapakse
Pages: 312 - 316
This paper describes an improved method of the variance estimation of Gaussian distribution for Histogram Matching based on Gaussian Distribution (HMGD). In our previous paper, focusing on the symmetry of the Gaussian function, we presented another method for the variance (or Gaussian width) estimation...

13. A Comparison Study on the Vertical Integration and Horizontal Specialization of Chinese ICT Companies

Yunju Chen, Yousin Park, Iori Nakaoka
Pages: 317 - 321
It is said that the decision of vertical integration or horizontal specialization (the boundary of the firm) affects a firm’s profit and competitive advantage, especially in the ICT industry. This paper focused on top market share Chinese ICT companies in global smartphone industry, Xiaomi and Huawei,...

14. A sound-based measurement of sway angle for anti-sway control of overhead crane

Miki Matsunaga, Masayoshi Nakamoto, Toru Yamamoto
Pages: 322 - 325
For anti-swing control of overhead crane, a deflection angle must be estimated. However, it is difficult to estimate deflection angles with a contact sensor such as rotary encoder. Therefore, we show a non-contact measurement method for the deflection angles by using two microphones. This method is based...

15. Development of NC Power Based on Buck Circuit

Fengzhi Dai, Yuxing Ouyang, Runhua Mao, Ce Bian, Baochang Wei, Yiqiao Qin, Shengbiao Chang, Qijia Kang
Pages: 326 - 329
This paper develops a kind of power-supply module that uses digital control and buck circuit. The module can convert 220V alternating current into 0-30V direct current. In the aspect of circuit design, it is mainly AC-DC, DC-DC conversion circuit and SCM minimum system circuit. In the aspect of control...

16. Simulation of Cell Dielectric Properties Based on COMSOL

Shudong Li, Xiaoyan Chen, Fengze Han
Pages: 330 - 333
The dielectric properties of cells can be observed by injecting a low amplitude current at different frequencies (1MHz~100MHz). The simulation research is taken on the software platform named COMSOL Multiphysics. The electric field and the cell model is created with prior information. By simulation,...

17. Development of Auto-Stacking Warehouse Truck

Kuo-Hsien Hsia, Ming-Guang Wu, Jun-Nong Lin, Hong-Jie Zhong, Zh-Yao Zhuang
Pages: 334 - 337
Warehouse automation is a very important issue for the promotion of traditional industries. For the production of larger and stackable products, it is usually necessary to operate a fork-lifter for the stacking and storage of the products by a skilled person. The general autonomous warehouse-truck...