Journal of Robotics, Networking and Artificial Life

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...