Journal of Robotics, Networking and Artificial Life
Volume 4, Issue 4, March 2018
Research Article
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...
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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 reduction....
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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...
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Research Article
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...
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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...
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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....
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Research Article
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...
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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.
The...
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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
without...
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Research Article
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...
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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...
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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...
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Research Article
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,...
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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...
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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...
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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,...
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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
does...
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