Journal of Robotics, Networking and Artificial Life

Volume 1, Issue 1, June 2014
Editor's Preface

1. Anomaly Stop Detection by Smartphone

Viet Chau Dang, Masao Kubo, Hiroshi Sato, Tomohiro Shirakawa, Akira Namatame
Pages: 2 - 6
This paper proposes a method for detecting anomaly stop events from GPS logs of a vehicle recorded by smartphone. Despite of many researches of strong braking event detection are proposed, they cannot discriminate between a normal and an abnormal braking event. Our proposal includes an IMAC model for...

2. Method of Facial Expression Analysis Using Video Phone and Thermal Image

Yasunari Yoshitomi, Taro Asada, Ryota Kato, Masayoshi Tabuse
Pages: 7 - 11
To improve the quality of life of elderly people living in a home or healthcare facility, especially in a rural area, we have been developing a method for analyzing the facial expressions of a person using a video phone system (Skype) to speak with another person. In the present study, we proposed a...

3. Variable-poled Tracking Control of a Two-wheeled Mobile Robot Using Differential Flatness

Liming Chen, Yingmin Jia
Pages: 12 - 16
This paper investigates the tracking control of a two-wheeled mobile robot in both kinematic and dynamic models. Differential flatness and PD-spectral theory are used for controller design. Based on differential flatness, the original system is transformed via a state prolongation and a state transformation...

4. Intelligent mechanisms in E. coli in processing carbon sources

Zhongyuan Tian, Hiroshi Matsuno
Pages: 17 - 21
E. coli is “wise” enough to take suitable responding time, and suitable responding behaviors, when facing different kinds and intensities of stimulations. In a network of glycogen metabolism, a shorter time stimuli result in the post translation level reactions for quicker response, and a longer time...

5. Playware Research – Methodological Considerations

Henrik Hautop Lund
Pages: 22 - 26
Several sub-disciplines of engineering are driven by the researchers’ aim of providing positive change to the society through their engineering. These researchers are challenged by the traditional research method of experimental research with a waterfall model which demands clearly defined project definition...

6. A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences

Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
Pages: 27 - 32
We already proposed a decision making system for autonomous robots, which is based on a Markovian emotional model proposed by Banik. In our proposed system, decision making of the robot is designed automatically by two processes that are the construction of emotions and optimization of behavior selection...

7. ALife for Real and Virtual Audio-Video Performances

Luigi Pagliarini, Henrik Hautop Lund
Pages: 33 - 38
MAG (an Italian acronym which stands for Musical Genetic Algorithms) is an electronic art piece in which a multifaceted software attempts to “translate” musical expression into a corresponding static or animated graphical expressions. The mechanism at the base of such “translation” consists in a quite...

8. Finite-time Stabilization for Nonholonomic Chained Form Systems with Communication Delay

Hengjun Zhang, Chaoli Wang, Gang Wang
Pages: 39 - 44
In this paper, the problem of finite-time stabilization is developed for nonholonomic chained form systems with communication delay in the input. The finite-time control laws are presented by utilizing the switching control strategy and the theory of finite-time stability, which can make the states of...

9. Study on the Improvement of Flexibility for an Industrial Robot Based on Machine Vision

Jiwu Wang, Xianwen Zhang, Weining Zhang, Sugisaka Masanori
Pages: 45 - 48
In order to improve the applications for an industrial robot, it is necessary to increase its flexibility and accuracy. The machine vision technology is an effective solution. In order to reduce the influence of the size, deformation etc., the target extraction method with fusion of color space and...

10. A model for low-frequency bursts in subthalamic nucleus neurons

Shigeru Kubota, Jonathan E. Rubin
Pages: 49 - 53
Burst firing in subthalamic nucleus (STN) has been suggested to be highly associated with the motor symptoms in Parkinson’s disease, which result from a loss of dopamine. Although it is clinically very important to clarify the mechanism underlying the bursting dynamics, complex interactions between...

11. Model Introduced SPRT for Structural Change Detection of Time Series (I) -- Formulation --

Yoshihide Koyama, Tetsuo Hattori, Hiromichi Kawano
Pages: 54 - 59
Previously, we have proposed a method applying Sequential Probability Ratio Test (SPRT) to the structural change detection problem of ongoing time series data. In this paper, we introduce a structural change model with Poisson process into a system that outputs a set of ongoing time series data, moment...

12. Kansei Impression and Automated Color Image Arrangement Methods (incl. erratum)

Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai , Haruna Matsushita, Hiromichi Kawano, R.P.C. Janaka Rajapakse
Pages: 60 - 67
This paper proposes a new color image arrangement method using an elastic transform on some kinds of axes. In this paper, we present the principle of our method using HMGD (Histogram Matching based on Gaussian Distribution). And we describe that the automated method applies the HMGD to input color...

13. Heart-pulse Biofeedback in Playful Exercise using a Wearable device and Modular Interactive Tiles

Tomoya Shimokakimoto, Henrik Hautop Lund, Kenji Suzuki
Pages: 68 - 72
We developed a playful biofeedback system using a wearable device and modular interactive tiles. In this approach we suppose that patients could regulate exercise intensity on their own through biofeedback. We propose biofeedback play system called “bioToys” based on exercise with the modular interactive...

14. The Recollection Characteristics of Generalized MCNN Using Different Control Methods

Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
Pages: 73 - 79
Kuremoto et al. proposed a multi-layer chaotic neural network (MCNN) combined multiple Adachi et al.'s CNNs to realize mutual auto-association of plural time series patterns. However, the MCNN was limited in a two-layer model. In this paper, we extend the MCNN to be a general form (GMCNN) with more...

15. Hierarchy Based on Configuration-Reader about k-Neighborhood Template A-Type Three-Dimensional Bounded Cellular Acceptor

Makoto Sakamoto, Makoto Nagatomo, Tuo Zhang, Xiaoyang Feng, Tatsuma Kurogi, Satoshi Ikeda, Masahiro Yokomichi, Hiroshi Furutani, Takao Ito, Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 80 - 84
Blum and Hewitt first proposed two-dimensional automata as computational models of two-dimensional pattern processing?two-dimensional finite automata and marker automata, and investigated their pattern recognition abilities in 1967. Since then, many researchers in this field have investigated the properties...

16. Hierarchy Based on Neighborhood Template about k-Neighborhood Template A-Type Three-Dimensional Bounded Cellular Acceptor

Makoto Sakamoto, Makoto Nagatomo, Tuo Zhang, Xiaoyang Feng, Tatsuma Kurogi, Satoshi Ikeda, Masahiro Yokomichi, Hiroshi Furutani, Takao Ito, Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 85 - 89
Recently, due to the advance in dynamic image processing, computer animation, augmented reality (AR), and so forth, it has become increasingly apparent that the study of four-dimensional pattern processing (three-dimensional pattern processing with time axis) should be very important. Thus, the study...

17. Survey of Conventional UUV Navigation Mapping Technique in Development of AQUA-X UUV

S. Faiz Ahmed Ahmed, D. Hazry, M. Hassan Tanveer, M. Kamran Joyo, Faizan. A. Warsi, Khairunizam Wan, Zuradzman M. Razlan, Shahriman A.B. Zunaidi IB, A.T. Hussain
Pages: 90 - 96
Unmanned Underwater Vehicles (UUV) are devices that perform task with slight or no human interaction. These tasks are predefined set of commands called navigation methods, that are used to achieve desired mission goals. The navigation control system plays an important role in maneuvering of UUV and...

18. Intelligent Fault Classification of Rolling Bearing at Variable Speed Based on Reconstructed Phase Space

Weigang Wen, Weidong Cheng
Pages: 97 - 102
Rolling bearing is a common mechanical part which is subject to be damaged. It is important to monitor the condition of bearing. An effective mean is to extract faulty features of bearing from the vibration signal. In this paper, a method is introduced to realize intelligent classification of bearing...