Journal of Robotics, Networking and Artificial Life
Volume 6, Issue 1, June 2019
1. An Analysis on Commercial Film Techniques and Effects Using Positive Factors of Evaluation Database System
Pages: 1 - 6
This study aims to systematically shed light on what kind of effects are brought about by the film techniques in individual commercial messages. Based on audiovisual experiments, with positive factors as the evaluation index, we considered what could be analyzed from film techniques and their effects....
Ryoichi Shimada, Taro Asada, Yasunari Yoshitomi, Masayoshi Tabuse
Pages: 7 - 11
We report on the development of a real-time system for facial expression horizontal asymmetry analysis and visualization. In this system, the image signal input from a webcam is analyzed using OpenCV, and feature parameters (facial expression intensity) are measured separately for the left and right...
Young Im Cho, Akmaljon Palvanov
Pages: 12 - 17
Due to the recent improvement in computer performance and computational tools, deep convolutional neural networks (CNNs) have been established as powerful class of models in various problems such as image classification, recognition, and object detection. In this study, we address two fundamentally dissimilar...
Hiroyasu Hirai, Kazuo Ishii
Pages: 18 - 22
The maintenances of social infrastructures such as dams and bridges are important subjects. The older the infrastructure becomes, the more need there is for effective inspection methods. In the inspection of the underwater dam structure, divers can be used, but the inspection result is insufficient....
Takuya Ito, Takashi Ogata
Pages: 23 - 26
The primary goal of the authors’ research related to the generation of narratives and haikus is to complete a mutual transformation mechanism between a narrative and a haiku. In this work, the authors propose a framework for transforming a narrative into haiku. The paper shows a basic method of generating...
Kenji Kimura, Kouki Ogata, Kazuo Ishii
Pages: 27 - 32
Many mobile robots that use spherical locomotion employ friction-drive systems because such systems offer omnidirectional locomotion and are more capable of climbing steps than omni-wheel systems. One notable issue associated with friction-drive systems is slipping between the sphere and the roller....
Yoichiro Ashida, Shin Wakitani, Toru Yamamoto
Pages: 33 - 37
Many self-tuning Proportional–Integral–Derivative (PID) controllers have been proposed. However, these methods are rarely employed to actual systems because of low reliability of an on-line PID parameter estimator. In this work, a performance adaptive controller that has two stages of PID parameters...
Chen Zhu, Takafumi Matsumaru
Pages: 38 - 41
In this research, six brands of soft drinks are decided to be picked up by a robot with a monocular Red Green Blue (RGB) camera. The drinking bottles need to be located and classified with brands before being picked up. The Mask Regional Convolutional Neural Network (R-CNN), a mask generation network...
9. Possible Mechanism of Internal Visual Perception: Context-dependent Processing by Predictive Coding and Reservoir Computing Network
Hiroto Tamura, Yuichi Katori, Kazuyuki Aihara
Pages: 42 - 47
The predictive coding is a widely accepted hypothesis on how our internal visual perceptions are generated. Dynamical predictive coding with reservoir computing (PCRC) models have been proposed, but how they work remains to be clarified. Therefore, we first construct a simple PCRC network and analyze...
10. Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM
Shingo Mabu, Kohki Fujita, Takashi Kuremoto
Pages: 48 - 51
In recent years, research on detecting disaster areas from synthetic aperture radar (SAR) images has been conducted. When machine learning is used for disaster area detection, a large number of training data are required; however, we cannot obtain so much training data with correct class labels. Therefore,...
Fengzhi Dai, Zhongyong Ye, Xia Jin
Pages: 52 - 55
This paper mainly focuses on the recognition of Chinese handwritten characters. By using the deep learning technology, a deep convolution neural network (CNN) is constructed to identify the handwritten character set, and finally gets the network structure that can be used for recognition. By comparing...
Kenji Aoki, Makoto Sakamoto, Hiroshi Furutani, Satoru Hiwa, Tomoyuki Hiroyasu
Pages: 56 - 59
We consider the runtime property of discrete linear functions in (1 + 1) Evolutionary Algorithms (EAs), Partially Ordered mutation (PO-mutation) and Jansen’s model, Partially Ordered Evolutionary Algorithm (PO-EA). We analyze the process of evolution. This study was motivated by the paper of Jansen treating...
Huailin Zhao, Zhen Nie, Xiaoxing Wang
Pages: 60 - 65
In this paper, the grouping aggaregation problem of multi-robot in simple environment is studied. The grouping algorithm and aggregation algorithm are mainly discussed. Based on K-means clustering algorithm, a grouping control algorithm that can determine the number of groups and complete the grouping...
Yan-Ren Chen, I-Hsien Liu, Keng-Hao Chang, Chuan-Gang Liu, Jung-Shian Li
Pages: 66 - 70
Virtual machine (VM) live migration occurs frequently in cloud environments. When it is necessary to migrate many VMs, minimizing the migration time is an important concern. Thus, choosing an appropriate strategy to perform VM migration is essential. Accordingly, this paper discusses the advantages and...