Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 1, June 2020
Research Article

1. Design and Application of Intelligent Networking Integration System with CANopen Protocol for Tool Machine Production Line

Chau-Chung Song, Yu-Wei Ho, Yu-Kai Chen, Chung-Wen Hung
Pages: 1 - 6
In this paper, the intelligent networking integration system is designed and constructed by applying the Controller Area Network (CAN)open profiles as communication protocol for tool machine production line. While the basic network management and data transmission is followed by the dictionary objects...
Research Article

2. Research on a Bridgeless Interleaved PFC Boost Converter with Voltage Doubler Feature

Chih-Chiang Hua, Ching-Chun Chuang, Hung-Chi Lee, Chih-Wei Chuang, Chuan-Ming Niu
Pages: 7 - 11
A current-fed bridgeless interleaved power factor correction rectifier with voltage-doubler characteristic is proposed for a hybrid electric vehicle charging system. The simulated efficiencies, Total current Harmonics current Distortion (THDi), and Power Factor (PF) for the bridgeless interleaved Power...
Research Article

3. Research of the Control Strategy of VIENNA Rectifier Circuit based on the Vector Control

Fengzhi Dai, Yuxuan Zhu, Di Yin, Yasheng Yuan
Pages: 12 - 15
This paper analyzes the working principle of VIENNA rectifier and establishes the transformation model of rectifier in three different mathematical coordinate systems. First is to obtain the control structure of the converter, which is a double closed loop control structure (the voltage is the outer...
Research Article

4. Evaluation of the Relationships between Saliency Maps and Keypoints

Ryuugo Mochizuki, Kazuo Ishii
Pages: 16 - 21
The saliency map is proposed by Itti et al., to represent the conspicuity or saliency in the visual field and to guide the selection of attended locations based on the spatial distribution of saliency, which works as the trigger of bottom-up attention. If a certain location in the visual field is sufficiently...
Research Article

5. Biomimetic Analog Silicon Synaptic Circuit with Tunable Reversal Potential

Ashish Gautam, Takashi Kohno
Pages: 22 - 26
Experimental results of a biomimetic silicon synaptic circuit capable of generating both excitatory and inhibitory postsynaptic currents are presented. The generated synaptic current takes into account its first-order dependence on the instantaneous value of the postsynaptic membrane potential, with...
Research Article

6. Intention Classification of a User of a Walking Assist Cart by using Support Vector Machine

Noritaka Sato, Tomoki Yokotani, Yoshifumi Morita
Pages: 27 - 29
To develop better assist function for a walking assist cart, we focused on the prediction of the intention of a user. As the first step of the research, the forces and torques to the cart from the user’s hands, and the rotational velocities of the wheels are sensing. And the support vector machine is...
Research Article

7. Distributed Rotating Encirclement Control of Strict-Feedback Multi-Agent Systems using Bearing Measurements

Tengfei Zhang, Yingmin Jia
Pages: 30 - 34
This paper focuses on the distributed multi-target rotating encirclement formation problem of strict-feedback multi-agent systems using bearing measurements. To this end, an estimator is presented to localize agents’ neighbor targets. Then, based on the trajectory planning method, a reference trajectory...
Research Article

8. Training Autoencoder using Three Different Reversed Color Models for Anomaly Detection

Obada Al aama, Hakaru Tamukoh
Pages: 35 - 40
Autoencoders (AEs) have been applied in several applications such as anomaly detectors and object recognition systems. However, although the recent neural networks have relatively high accuracy but sometimes false detection may occur. This paper introduces AE as an anomaly detector. The proposed AE is...
Research Article

9. Verification of a Combination of Gestures Accurately Recognized by Myo using Learning Curves

Kengo Kitakura, Hideyuki Tanaka
Pages: 41 - 47
This paper studies verification of a combination of hand gestures recognized by using the Myo armband as an input device. To this end, relationship between data distribution and learning curves is investigated for binary classification and multi-class classification problems. A verification method is...
Research Article

10. Spike Sorting Tool for Analysis of Cardiac Extracellular Signals Recorded by Thin-Film-Transistor Sensor Arrays

Anne-Claire Eiler, Junichi Sugita, Satoshi Ihida, Hiroshi Toshiyoshi, Katsuhito Fujiu, Timothée Levi, Agnès Tixier-Mita
Pages: 48 - 51
The dynamical property of the heart bioelectrical system is closely associated with cardiac diseases. For this reason, there is a growing interest in the development of system analysis for studying the cardiac signaling network. In this article, extracellular potentials of cardiac muscle cells were measured...
Research Article

11. An Error Correction Mechanism for Reliable Chemical Communication Systems

Masashi K. Kajita
Pages: 52 - 57
Chemical communication systems, such as bio-inspired chemical sensory systems or biological cells, sense the environment by detecting target ligand molecules, which convey environmental information. However, non-target ligands, similar to the target ones, are ubiquitous in the environment and can hamper...
Research Article

12. A Hardware-Oriented Echo State Network and its FPGA Implementation

Kentaro Honda, Hakaru Tamukoh
Pages: 58 - 62
This paper proposes implementation of an Echo State Network (ESN) to Field Programmable Gate Array (FPGA). The proposed method is able to reduce hardware resources by using fixed-point operation, quantization of weights, which includes accumulate operations and efficient dataflow modules. The performance...
Research Article

13. Neuromorphic Computing in Autoassociative Memory with a Regular Spiking Neuron Model

Naruaki Takano, Takashi Kohno
Pages: 63 - 67
Digital Spiking Silicon Neuron (DSSN) model is a qualitative neuron model specifically designed for efficient digital circuit implementation which exhibits high biological plausibility. In this study we analyzed the behavior of an autoassociative memory composed of 3-variable DSSN model which has a slow...
Research Article

14. Design of a Data-Driven Multi PID Controllers using Ensemble Learning and VRFT

Takuya Kinoshita, Yuma Morota, Toru Yamamoto
Pages: 68 - 72
Data-driven control has been proposed for directly calculating control parameters using experimental data. Specifically, the Virtual Reference Feedback Tuning (VRFT) has been proposed for linear time-invariant systems. In the field of machine learning, the ensemble learning was proposed to improve the...
Research Article

15. The Research about Editing System of Performance Information for Player Piano

Mami Ezaki, Eiji Hayashi
Pages: 73 - 76
We have developed a system that allows a piano to perform automatically. In order to play music in the manner of a live pianist, we must add expression to the piano’s performance. In the case of music, there are often 1000 or more notes in the score, requiring that an editor spend a huge amount of time...