Journal of Robotics, Networking and Artificial Life

ISSN: 2352-6386
+ Advanced search
286 articles
Naoki Mukosaka, Yasuto Nishiwaki, Ivan Tanev, Katsunori Shimohara
Pages: 144 - 147
The objective of our work is to investigate the optimal combination of durations of both stages of incremental Genetic Programming (IncGP) on the simulated Snake-like robots (Snakebots). The obtained results suggest that the number of generations cannot be used as criteria for separating the two stages...
Yasuo Uchida, Seigo Matsuno, Takao Ito, Makoto Sakamoto
Pages: 153 - 156
We have proposed a new method of advancing from CS Unplugged through the new process of CS Plugged to full-fledged computer programming languages, as a means of deepening understanding in computer programming education. We also have proposed a new Five-Step Method consisting of the following steps: Step...
Tetsuro Katayama, Hiroto Nakamura, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Pages: 177 - 181
TFVIS (transitions and flow visualization) can perform the visualization of data transitions and the visualization of execution flows. The visualization of data transitions shows the flow of variable renewals in executing programs. It becomes easier to grasp the behavior in executing the programs whose...
Jun Kimura, Yasunari Yoshitomi, Masayoshi Tabuse
Pages: 182 - 185
We developed a method for classification of Japanese documents and ranking of representative documents by using the characteristic of the frequencies of nouns. A representative document is defined as a document whose feature vector is the closest to the center of gravity of the class in the feature vector...
Masao Kubo, Hiroshi Sato, Akihiro Yamaguchi, Akira Namatame, Eugene Kitamura
Pages: 64 - 68
This paper presents a robot swarm model to enclose a target. The robots use information of the target and each of their neighbors. Every robot has its own, standard torch-like signal emitter and they can observe the sum of the intensity of their torches. In this paper, the robots identify their nearest...
Yuu Nakanishi , Yasunari Yoshitomi , Taro Asada, Masayoshi Tabuse
Pages: 79 - 84
Using our previously developed system, we investigated the influence of training data on the facial expression accuracy using the training data of “taro” for the intentional facial expressions of “angry,” “sad,” and “surprised,” and the training data of respective pronunciation for the intentional...
Mochamad Chandra Saputra, Tetsuro Katayama
Pages: 89 - 93
The visualization of statement coverage (C0) and branch coverage (C1) measurement output can be used in several ways to improve the verification and validation process. The result displays are percentage of a successful tested code and visual information with highlighted in bright green as information...
Yasuto Nishiwaki, Naoki Mukosaka, Ivan Tanev, Katsunori Shimohara
Pages: 107 - 110
We present the results of our work on epigenetic programming (EP) and its application to navigation of mobile cleaning robot. We verify the effect of genetic switches and the feasibility of incorporating histones. The results show individuals applying Lamarckian EP have better quality and evolve faster...
Takao Ito, Tsutomu Ito, Katsuhiko Takahashi, Makoto Sakamoto, Satoshi Ikeda, Rajiv Mehta
Pages: 125 - 130
This paper introduces recent fundamental modifications to the Japanese alliance system known as the keiretsu, and analyses how these changes have affected corporate performance. More specially, the performance of Japanese auto manufacturers, such as Toyota, Nissan and others, has significantly improved...
Makoto Nagatomo, Makoto Sakamoto, Hikaru Susaki, Tuo Zhang, Satoshi Ikeda, Hiroshi Furutani, Tsutomu Ito, Takao Ito, Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 268 - 271
In this paper, we investigate multi-dimensional computational model, k-neighborhood template A-type three-dimensional bounded cellular acceptor on four-dimensional tapes, and discuss some basic properties. This model consists of a pair of a converter and a configuration-reader. The former...
Tsutomu Ito, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Sakamoto Makoto, Satoshi Ikeda
Pages: 272 - 275
The current manuscript reviews the literature associated with corporate strategy, and proposes a new approach of acceleration to measure momentum based on limited cycle theory. Thus, this research manuscript makes a contribution to extant thought by: 1) Defining momentum, 2) Discussing the nature of...
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...
Shou Morita, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa
Pages: 160 - 163
The idea of Bag of Features (BoF) is recently often employed for general object recognition. But, as it does not take positional relations of detected features into account, the recognition rate is still not very high for practical use. This paper proposes a method of describing the feature of an object...
Dipak Gaire Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
Pages: 194 - 197
Human walking has always been the curious field of research for different disciple of social and information science. The study of human walk or human gait in association with different behaviors and emotions has not only fascinated social science researchers, but its uniqueness has also attracted many...
Makoto Sakamoto, Makoto Nagatomo, Tatsuma Kurogi, Satoshi Ikeda, Masahiro Yokomichi , Hiroshi Furutani, Takao Ito , Yasuo Uchida, Tsunehiro Yoshinaga
Pages: 203 - 206
Cellular automata were investigated not only in the viewpoint of formal language theory, but also in the viewpoint of pattern recognition. Cellular automata can be classified into some types. A systolic pyramid automata is also one parallel model of various cellular automata. A homogeneous systolic pyramid...
Emmanouil Giannisakis, Henrik Hautop Lund
Pages: 249 - 252
We propose a novel playware as a merge between exergames and mobile fitness apps to engage the users in physical exercises, not only as competitive play, but also in the form of cooperative play. The concept connects modular interactive tiles with radio communication to Android tablets and smart phones,...
Yi-Fu Chiu, Kai-Tai Song
Pages: 257 - 260
In this paper, a motion planner is designed and implemented for of a mobile manipulator to travel to a spot for grasping of an object. In this work, the probability of successful grasping inside the workspace of the robot arm is used for grasping planning. A vision SLAM system is combined with reachability...
Hiroki Sakamoto, Tetsuo Hattori, Akiomi Tada, Vanhoa Nguyen, Hiromichi Kawano
Pages: 265 - 269
We propose a highly accurate approximate solution for Navier-Stokes Equation (NSE) based on the similarity between NSE and Advection Diffusion Equation (ADE). First, we present the analytical exact solution of ADE using a Green function (integral kernel) that is obtained from the diffusion equation over...
Tetsuro Katayama, Shoichiro Kitano, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Pages: 299 - 302
In order to improve the efficiency of testing Java multi-threaded programs, this research proposes a testing method to detect order violation in them using similarity of interleaving. The proposed method improves the efficiency of testing by executing interleaving which can test the places where lead...
Yoshika Osawa, Takashi Kohno
Pages: 312 - 315
Spiking neural network is a system that qualitatively reproduce the nervous system. It was shown in previous researches that the performance of associative memory task in all-to-all connected networks is higher when they are composed of Class II neurons than Class I neurons. The Izhikevich model in its...
Kaoru Sumi
Pages: 74 - 78
This paper introduces a study of spoken dialogue agent systems using emotional expressions as affective human computer interaction. The paper describes an experiment investigating the effect that the expression and words of the agent have on people, introduces a spoken agent for customer services using...
Chunyu Yu, Fengzhi Dai
Pages: 96 - 101
The need of detecting moving object like human and vehicle by mobile camera is increasing in commerce and industry. Therefore, tradition method of abstracting moving object from still background cannot solve the problem. Though Histogram of Oriented Gradients (HOG) have been widely used for human detection,...
Yunzhong Song, Ziyi Fu, Fuzhong Wang
Pages: 136 - 139
Networks of networks paradigm was introduced to explore the rendezvous problems of leader-follower multi-agent system, where the rendezvous actors were categorized into the target object, the leader agents, the informed follower agents and the isolated follower agents, respectively. Then, three humanized...
Seigo Matsuno, Shin-ya Tagawa, Yasuo Uchida, Tsutomu Ito, Takao Ito
Pages: 205 - 208
This paper investigates the factors that influence the motives of make-or-buy decisions on information systems from the viewpoints of Transaction cost economics (TCE) and the resource-based view (RBV). Using our original questionnaire survey data carried out in 2007 targeting Japanese firms, we analyze...
Takashi Ogata, Jumpei Ono
Pages: 209 - 212
This study presents a method of selecting verb concepts based on analysis of co-occurrence information of verbs in modern Japanese novels collected from the Japanese digital library, “Aozora Bunko”. We plan to incorporate the proposed method into an integrated narrative generation system (INGS) that...
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...
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...
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....
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...
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...
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,...
Yiwei Ru, Hongyue Du, Shuxiao Li, Hongxing Chang
Pages: 5 - 9
Aimed at the problem that the recognition accuracy of the monocular camera is low, we propose a binocular vision recognition algorithm for action recognition based on HART-Net(Human action recognition networks).Firstly, the left and right views obtained by the binocular camera are matched to obtain the...
Keisuke Watanabe, Koshi Utsunomiya, Kazuho Mitsumura, Shun Takasaki
Pages: 234 - 238
In this paper, we present our modification experience of making a UAV watertight and floatable. Then we present several experiments on taking pictures considering ocean monitoring in the sea near our campus. The watertight experiments are done from our school’s pier. In these experiments, we repeated...