bluuebunny/crossref_metadata_2025 huggingface dataset:
Dyadic Curvelet Transform (DClet) for Image Noise Reduction
Authors: Anaraki Marjan Sedighi ,   Dept. of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan, Dong Fangyan , Nobuhara Hajime , Hirota Kaoru ,   Dept. of Intelligent Interaction Technologies, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba science city, Ibaraki 305-8573, Japan
Published: April 2016

Dyadic Curvelet transform (DClet) is proposed as a tool for image processing and computer vision. It is an extended curvelet transform that solves the problem of conventional curvelet, of decomposition into components at different scales. It provides simplicity, dyadic scales, and absence of redundancy for analysis and synthesis objects with discontinuities along curves, i.e., edges via directional basis functions. The performance of the proposed method is evaluated by removing Gaussian, Speckles, and Random noises from different noisy standard images. Average 26.71 dB Peak Signal to Noise Ratio (PSNR) compared to 25.87 dB via the wavelet transform is evidence that the DClet outperforms the wavelet transform for removing noise. The proposed method is robust, which makes it suitable for biomedical applications. It is a candidate for gray and color image enhancement and applicable for compression or efficient coding in which critical sampling might be relevant.
Reinforcement Learning for Penalty Avoidance in Continuous State Spaces
Authors: Miyazaki Kazuteru ,   Department of Assessment and Research for Degree Awarding, National Institution for Academic Degrees and University Evaluation, 1-29-1 Gakuennishimachi, Kodaira-city, Tokyo 187-8587, Japan, Kobayashi Shigenobu ,   Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8502, Japan
Published: April 2016

Reinforcement learning involves learning to adapt to environments through the presentation of rewards – special input – serving as clues. To obtain quick rational policies, profit sharing (PS) [6], rational policy making algorithm (RPM) [7], penalty avoiding rational policy making algorithm (PARP) [8], and PS-r* [9] are used. They are called PS-based methods. When applying reinforcement learning to actual problems, treatment of continuous-valued input is sometimes required. A method [10] based on RPM is proposed as a PS-based method corresponding to the continuous-valued input, but only rewards exist and penalties cannot be suitably handled. We studied the treatment of continuous-valued input suitable for a PS-based method in which the environment includes both rewards and penalties. Specifically, we propose having PARP correspond to continuous-valued input while simultaneously targeting the attainment of rewards and avoiding penalties. We applied our proposal to the pole-cart balancing problem and confirmed its validity.
Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm
Authors: Sulistijono Indra Adji ,   Dept. of Mechanical Engineering, Graduate School of Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan, Kubota Naoyuki ,   Electronics Eng. Polytechnic Institute of Surabaya - ITS (EEPIS-ITS), Kampus ITS Sukolilo, Surabaya 60111, Indonesia,   Dept. of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan,   SORST, Japan Science and Technology Agency (JST)
Published: April 2016

This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings. It should basically extract moving objects using visual perception in interaction with human beings. To reduce computational cost and time consumption, we used differential extraction. We propose human head tracking for a partner robot using particle swarm optimization and a genetic algorithm. Experiments involving two maximum iteration numbers show that particle swarm optimization is more effective in solving this problem than genetic algorithm.
Multiresolutional Fusion of Perceptions Applied to Robot Navigation
Authors: Ciftcioglu Özer ,   Chair Design & Informatics, Delft University of Technology, Berlageweg 1, 2628 CR Delft, The Netherlands, Bittermann Michael S. , Sariyildiz I. Sevil
Published: April 2016

Visual perception-based autonomously moving virtual agent in virtual reality as a counterpart of an actual robot moving with a given dynamics is investigated. The visual perception is mathematically modelled as a probabilistic process obtaining and interpreting visual information from an environment. The perception obtained in the form of measurements in 2D is used for perceptual robot navigation. By means of this twofold gain is obtained; while the autonomous robot is navigated, it is equipped with some human-like behaviour, thereby dealing with complexity and environmental dynamics. The visual data is processed in a multiresolutional form via wavelet transform and optimally estimated via extended Kalman filtering in each resolution level and the outcomes are fused for improved estimation of the trajectory. The perceptual robotics experiments are carried out in virtual reality for the demonstration of the feasibility of the investigations in this domain. The computer experiments are carried out with perception measurement data, and the sensor/data fusion experiments are carried out by means of simulation. The improvement on the trajectory estimation by means of sensor/data fusion is demonstrated. The research is connected to building technological robotics, where some form of perceptual intelligence, like reaction to moving objects around, is required during operation.
Implementation of Fixed-Point Control Algorithms Based on the Modified Delta Operator and Form for Intelligent Systems
Authors: Aoki Tatsu ,   Monozukuri Department, Tokyo Metropolitan College of Industrial Technology, 1-10-40 Higashi-Ohi, Shinagawa-ku, Tokyo 140-0011, Japan
Published: April 2016

The methodology we propose for realizing energy- and space-saving adaptive control algorithms is based on pulse width modulation (PWM) with a modified delta operator. The dynamic calculation range is at least twice that of the conventional range, making it very useful in embedded real-time intelligent and micromechatronic systems because complex control algorithms can be implemented in fixed-point arithmetic with short words. Simulation results for PID control and simple adaptive control demonstrate the practicality and effectiveness of our proposal.
Advanced Multiple Product Flexible Manufacturing System Modelling Using Coloured Petri Net
Authors: Aized Tauseef ,   Hagiwara Lab, Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan, Takahashi Koji , Hagiwara Ichiro ,   Takahashi Lab, Department of Electrical and Electronic Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan
Published: April 2016

The objective of this study is to analyse a pull type multi-product, multi-line and multi-stage flexible manufacturing system whose resources are subject to planned and unplanned breakdown conditions. To ensure a continual supply of the finished products, under breakdown conditions, the parts/materials move through alternate routes exhibiting routing flexibility. The machine resources are flexible in this study and are capable to produce more than one item. Every machining and assembly station has been equipped with automated inspection units to ensure the quality of the products. The system is modelled through coloured Petri net method and the impact of input factors has been shown on the performance of the system.
Selected Papers from SCIS & ISIS 2006 – No.2
Authors: Nobuhara Hajime ,   Assistant Professor,
Published: April 2016

As mentioned in the editorial for the special issue on selected papers from SCIS & ISIS 2006 (No.1) by Dr. Naoyuki Kubota, the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) have been highly successful with 464 original papers accepted for presentation and participants numbering 526. We have selected approximately 50 quality papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, following publication of the first volume (Vol.11, No.6) comprising 23 papers. This second volume of the SCIS & ISIS 2006 special issue includes 19 papers covering the cutting edge of computational intelligence, and the guest editors believe that readers will be inspired by the highly interesting contents containing clues to the new frontier of the computational intelligence. linebreak Related areas include image processing, control, sensor fusion, data/context/

network analysis, genetic algorithms, ontology, VHDL, game theory, and robotics among others.smallskip I would like to thank all the authors and reviewers for their valuable contributions in making this volume possible. I am also grateful to Editors-in-Chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology, Dr. Toshiaki Murofushi who served as general chair of SICS & ISIS 2006, Dr. Naoyuki Kubota who was the SCIS & ISIS 2006 program chair, and the SCIS & ISIS 2006 conference staff for inviting me to serve as Guest Editor of this Journal. Last, I would like to thank the Fuji Technology Press staff, especially Dr. Kazuki Ohmori.
Access Control and Scalable Encryption Using a Stream Cipher for JPEG 2000 Encoded Images
Authors: Haggag Ayman ,   Graduate School of Science and Technology, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan, Ghoneim Mohamed , Lu Jianming , Yahagi Takashi ,   Graduate School of Advanced Integration Science, Chiba University
Published: April 2016

The access control and scalable encryption scheme we propose for JPEG 2000 encoded images encrypts JEPG 2000 codestreams using the SNOW 2 progressive encryption algorithm to encrypt resolutions, quality layers, or packets independently to provide resolution, quality or fine-grain scalability. Access is controlled to different image resolutions or quality levels granted to different users receiving the same encrypted JPEG 2000 codestream but having different decryption keys. Keys used with successive resolutions or quality layers are mutually dependent based on the SHA-256 one-way hashing function. Encrypted JPEG 2000 codestreams are transcoded by an intermediate untrusted network transcoder, without decryption and without access to decryption keys. Our encryption scheme preserves most of the inherent flexibility of JPEG 2000 encoded images and is carefully designed to produce encrypted codestreams backward-compatible with JPEG 2000 compliant decoders.
Generation of Interesting Story from Picture Information
Authors: Kato Shigeru ,   Yuge National College of Maritime Technology, 1000 Shimoyuge, Yuge, Kamijima-cho, Ochigun, Ehime 794-2593, Japan, Onisawa Takehisa ,   University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, Japan
Published: April 2016

This study aims at construction of the system which explains pictures contents considering interestingness. The input to the system is information on some pictures and the output is interesting linguistic expressions explaining pictures. This paper also shows the experimental results for the confirmation of the usefulness of the present system.
Network Analysis of the Four Gospels and the Catechism of the Catholic Church
Authors: Murai Hajime ,   Department of Value and Decision Science, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan, Tokosumi Akifumi
Published: April 2016

There are many religions, such as Christianity, that have sought to spread their messages and have subsequently created a collection of documents. However, as the literature grows, it becomes more problematic to interpret any single text and perceive how it relates to other documents. This situation is common in other areas of human activity, not just religions. In this paper, we propose a method of Synoptic Network Analysis, to represent the relationships between multiple overlapping texts as a network, and to analyze the structure and semantics of the texts by clustering the network. This method is applied to the four traditional Christian Gospels and the Catechism of the Catholic Church in order to extract the main messages common to these Gospels, to highlight the dogmatic characteristics of each Gospel and the Catechism and to compare those results. Unlike traditional literature-based approaches, Synoptic Network Analysis is a scientific method that incorporates falsifiability and replicability. The method makes it possible to scientifically evaluate various literature-based hypotheses.
Handwriting Recognition Applications for Tablet PCs
Authors: Tran Dat ,   School of Information Sciences and Engineering, University of Canberra, ACT 2601, Australia, Ma Wanli , Sharma Dharmendra
Published: April 2016

This paper presents handwriting recognition applications developed and tested on the tablet PC – a new generation of notebook computers. Users write on a tablet PC screen with a tablet pen and a built-in user-independent handwriting recognition tool converts handwritings to printed text. We present handwriting recognition applications using the built-in recognition tool and signature verification using our own verification tool based on fuzzy c-means vector quantization (FCMVQ) and observable Markov modeling (OMM). Experimental results for the signature verification system are also presented.
A Study on Modeling Error Estimation for Mobile Robot Based on Coevolutionary Computation and Image Processing
Authors: Premachandra Halpage Chinthaka Nuwandika ,   Division of Electrical and Electronic Engineering, Graduate School of Engineering, Mie University, 1577 Kurima-Machiya, Tsu, Mie 514-8507, Japan, Kawanaka Hiroharu , Yoshikawa Tomohiro , Tsuruoka Shinji , Shinogi Tsuyoshi ,   Dept. of Computational Science and Engineering, Graduate School of Engineering, Nagoya University
Published: April 2016

Evolutionary Computation (EC) is used to minimize modeling errors between robotic movement in computer simulation and trajectories of an actual robot. Generally, this task is important and so difficult. This paper proposes the method to minimize the modeling error between robotic movements and simulation results using coevolutionary computations with image processing technique. In the proposed method, a video camera on the ceiling captures robot movement, actual robot trajectories are detected from captured images by image processing, and modeling errors are estimated. Results of the experiments using an actual robot confirmed the effectiveness of our proposal and showed that modeling errors are reduced effectively. The sections that follow detail the problems overcome and our projected work.
Local Character Tensors for 3D Registration Method on Free-View Datasets
Authors: Wang Jingjing ,   Dept. of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama-city 226-8502, Japan, Dong Fangyan , Hatakeyama Yutaka , Nobuhara Hajime , Hirota Kaoru ,   Dept. of Intelligent Interaction Technologies, University of Tsukuba, Tsukuba Science City, Japan
Published: April 2016

A local character tensor is proposed for the automatic three-dimensional (3D) pair-wise registration based on free-view 3D datasets. In the proposed method, there are two characters, i.e., the optimal segmentation to realize the automatic processing and local character tensor to improve the matching probability. It is applied for solving the mismatching problem and large-scale 3D datasets, using non-structured datasets are tested in a PC with Intel Pentium M 1.50 GHz and 1.0 GB memory. Pair-wised experimental results show the proposed method increases average 12.6% matching probability and decreases average 18.9 seconds computational time compared to the conventional local character based registration method. This registration method can be further applied to 3D reconstruction from navigation, model based object recognition to accurate 3D geometric object model application.
Network Distributed Monitoring System for Home Service Robots Based on RT Middleware
Authors: Jia Songmin ,   University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-City, Tokyo 182-8585, Japan, Gakuhari Harunori , Takase Kunikatsu
Published: April 2016

In this paper, we developed a network distributed monitoring system for home service robots to improve the interaction among the users and local service robotic system. Home integration robot system and network monitoring system using QuickCam Orbit cameras were developed and demonstrated from June 9 to June 19 at the 2005 World Exposition, Aichi, Japan. In order to extend the application of system, we improved the developed network distributed monitoring system using IEEE1394 cameras with high performance and high resolution. Robot Technology Middleware (RTM) was used in the developed system. By using RTM, we can develop robotic functional elements as “RT software components” that can be implemented by different programming languages, run in different operating system, or connected in different networks. It is also easy to create comprehensive robot system application by re-using existing RT modules. The developed system can facilitate network-distributed software sharing and improve the cost of writing and maintaining software.
Analyzing Usage of Indoor Space from Ecological Aspects Based on Constraint-Oriented Fuzzy Sets
Authors: Ohya Tomoko ,   Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan, Shimamoto Masanori , Shiose Takayuki , Kawakami Hiroshi , Katai Osamu
Published: April 2016

This paper proposes a framework for analyzing the relationships between human recognition and the ecological aspects of physical space, aiming to support conflict management of architectural designs. Our framework employs novel fuzzy sets: the Constraint-Interval Fuzzy Set (CoIFS) [1], which visualizes roles of architectural spaces from the viewpoint of space usages and the physical abilities of target users. For designing indoor spatial layouts, the users are the inhabitants. From an ecological viewpoint, environments affect inhabitant behaviors on every location and scene. Among several ecological factors, we adoptpathway likenessandsettling attractionas examples of metrics for evaluating space. Inhabitants’ personalities are implemented by configurations of private/official space and settling attractions for simulating their behavior in a room. Based on simulation results, a spatial layout is evaluated by metrics that enable us to translate the roles of space into CoIFS. The potential of our framework is also discussed with the architectural notions ofP-SpaceandN-Space.
Selected Papers from SCIS & ISIS 2006 – No.3
Authors: Hasegawa Yasuhisa ,   Associate Professor,
Published: April 2016

This third special issue on papers from SCIS&ISIS 2006 draws its contents from a highly successful conference attracting 526 participants from 31 countries and 464 original papers, including 297 in 60 organized sessions. The invaluable contributions by the session organizers made this conference attractive and worthwhile in soft computing and advanced intelligent systems research. Having chaired the conference's organized session committee, I wish to express my gratitude for their assistance. Some 42 selected papers have already been published in Volumes 1 and 2 of this special issue (Vol.11, Nos.6 and 7). The present volume introduces 22 papers from organized sessions in extended form after preliminary selection and review by session organizers, chairs, and international SCIS&ISIS 2006 program committees. These papers cover fields related to intelligent systems, ranging from theoretical to practical issues such as self-organizing maps, neural networks, fuzzy clustering, fuzzy control, intelligent robots, secure smart spaces, data mining, and intelligent communication systems. The guest editors believe that readers will be inspired by these highly interesting papers, which contain clues to exploring new and seminal ideas for that next step in research. I thank all of the authors and reviewers for the time and effort they put into this special issue. I am grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for the opportunity to take part in this work.
Adjustability of Neural Networks with Variant Connection Weights for Obstacle Avoidance in an Intelligent Wheelchair
Authors: Yasuda Toshihiko ,   Dept. of Mechanical System Engineering, The University of Shiga Prefecture, 2500 Hassaka-cho, Hikone, Shiga 522-8533, Japan, Tanaka Hajime , Nakamura Kazushi , Tanaka Katsuyuki ,   Dai Nippon Printing Co., Ltd., 1-1-1 Ichigaya, Kagacho, Shinjuku-ku, Tokyo 162-8001, Japan
Published: April 2016

We have been studying electrically powered wheelchair operation to make electrically powered wheelchair intelligent and to develop a mobility aid for those who find it difficult or impossible to use conventional electrically powered wheelchairs. Some of the prototypes we have developed use neural networks providing obstacle avoidance. In previous research, we found that by varying neural network connection weight based on obstacles in the wheelchair’s vicinity and its run state, obstacle avoidance is improved. In this research, we discuss the adjustability of neural networks with variant connection weight based on numerical studies.
Particle Swarm Optimization for Jump Height Maximization of a Serial Link Robot
Authors: Matsui Takeshi ,   Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima-shi 739-8527, Japan, Sakawa Masatoshi , Uno Takeshi , Kato Kosuke , Higashimori Mitsuru , Kaneko Makoto ,   Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita-shi 565-0871, Japan
Published: April 2016

In this paper, we focus on the maximization of the height of jump of a serial link robot. The jump height maximization problem is formulated as a nonlinear programming problem, where torque patterns to drive joints in the robot are decision variables and the objective function is an implicit function whose value is obtained as an output of a simulator. As a previous reasearch, an approximate solution method using a genetic algorithm was proposed. In the research, some interesting joint drive torque patterns were found by the method, but it costed much time to obtain a drive torque pattern. In order to shorten the computational time, in this paper, we propose a new solution method using a particle swarm optimization (PSO) technique.
Downsized Evolutionary Video Processing for Lips Tracking and Data Acquisition
Authors: Akashi Takuya ,   Graduate School of Science and Engineering, Yamaguchi University, 2-16-1 Tokiwa-dai, Ube, Yamaguchi 755-8611, Japan, Wakasa Yuji , Tanaka Kanya , Karungaru Stephen , Fukumi Minoru ,   Institute of Technology and Science, The University of Tokushima, 2-1 Minami-josanjima, Tokushima 770-8506, Japan
Published: April 2016

In this paper, high-speed lips tracking and data acquisition of a talking person in natural scenes are presented. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, in this paper, we proposed Evolutionary Video Processing with automatic SD-Control. In our simulations, the effectiveness of the proposed method is verified by a comparison experiment. The proposed method improves the performance, speed and accuracy, from 68.4% to 86.2%. Furthermore, it is evaluated that our proposed method can continue to chase the lips region even in such a case. It is demonstrated that the lips region detection and tracking at high speed and with high accuracy is possible, with acquisition of its numerical geometric change information.
Special Issue on IEEE-ICCC 2006
Authors: Pátkai Béla ,   Department of Engineering, University of Cambridge, Machado J. A. Tenreiro , Rudas Imre J.
Published: April 2016

The study of systems and complexity has taken an intriguing route in the last hundred years, involved some of the most fascinating scientists, synthesised new fields of research and found novel applications requiring a fresh and revolutionary approach. Computational Cybernetics is a pragmatic response for the needs of engineering and social systems that integrates Cybernetics with Computational Intelligence. The IEEE International Conference on Computational Cybernetics (IEEE ICCC) has been successfully promoting the open-minded but scientifically sound integration of advanced mathematical and systems engineering methods in multidisciplinary domains since 2003. This special issue is a selection of the most characteristic and instructive papers from the previous IEEE ICCC conference, held in the summer of 2006 in Tallinn, Estonia. All of the papers in this issue represent vividly the broad scope and integrating nature of Computational Cybernetics. As Tar et al. notes in the first paper, a century-old conjecture of Hilbert solved fifty years ago can help us build new solutions in the 21st century in the field of nonlinear system control. In the same way each of the following papers represent a bridge between analogies from nature, computational methods and challenging multidisciplinary problems – helping us to convey our message to the professional audience of this journal. The special issue editors would like to thank the authors of the papers in this issue, the participants of the IEEE ICCC conferences for contributing to its stimulating, multidisciplinary environment and the professional support of the Journal editors and their staff.
Fractional Control of Coordinated Manipulators
Authors: Ferreira N. M. Fonseca ,   Dept. of Electrical Engineering, Institute of Engineering of Coimbra, Rua Pedro Nunes, 3031-601 Coimbra, Portugal, Machado J. A. Tenreiro ,   Dept. of Electrical Engineering, Institute of Engineering of Porto, Rua Dr António Bernardino de Almeida, 4200-072 Porto, Portugal
Published: April 2016

When two robots execute a coordinated motion it is required specification not only of the desired trajectory of each robot, but also of the forces exerted by the end effectors. This article discusses the fractional-order position and force control of two co-operative robots handling one object. The system robustness and performance is analyzed and compared with other control approaches. The experiments reveal that fractional algorithms lead to performances superior to classical integer-order controllers.
Application of Fractional Calculus in the Control of Heat Systems
Authors: Jesus Isabel S. ,   Dept. of Electrotechnical Engineering, Institute of Engineering of Porto / GECAD, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal, Machado J. A. Tenreiro
Published: April 2016

The PID controller is by far the most dominating form of feedback in use in the process industries, due to its functional simplicity and performance. In this work, we apply a generalization of the PID, namely the fractional controller PIDβ, to the heat diffusion system. For the PIDβ tuning are used four performance indices, to find the optimum controller settings by taking advantage of the fractional order β. The effect of actuator saturation and the required control energy are also analyzed.
Optimization of Genetic Operators for Scheduling Problems
Authors: Ferrolho António ,   Dept. of Electrotechnical Engineering, Superior School of Technology, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal, Crisóstomo Manuel ,   Institute of Systems and Robotics, Dept. of Electrical and Computer Science Engineering, University of Coimbra, Polo II, 3030-290 Coimbra, Portugal
Published: April 2016

Genetic algorithms (GA) can provide good solutions for scheduling problems. But, when a GA is applied to scheduling problems various crossovers and mutations operators can be applicable. This paper presents and examines a new concept of genetic operators for scheduling problems. A software tool called hybrid and flexible genetic algorithm (HybFlexGA) was developed to examine the performance of various crossover and mutation operators by computing simulations of job scheduling problems.
Research on the Sheepdog Problem Using Cellular Automata
Authors: Adachi Yoshinobu ,   Tokyo Denki University, 2-2 Nishiki-cho, Kanda, Chiyoda-ku, Tokyo 101-8457, Japan, Kakikura Masayoshi
Published: April 2016

The simulation framework we propose for complex path planning problems with multiagent systems focuses on the sheepdog problem for handling distributed autonomous robot systems – an extension of the pursuit problem for handling one prey robot and multiple predator robot. The sheepdog problem involves a more complex issue in which multiple dog robot chase and herd multiple sheep robot. We use the Boids model and cellular automata to model sheep flocking and chase and herd behavior for dog robots. We conduct experiments using a Sheepdog problem simulator and study cooperative behavior.
Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects
Authors: Horváth László ,   Institute of Intelligent Engineering Systems, John von Neumann Faculty of Informatics, Budapest Tech Polytechnical Institution, Bécsi u. 96/b, Budapest, H-1034, Hungary
Published: April 2016

Engineering for design, analysis, and manufacturing planning of products has been integrated with other product related engineering activities such as control of manufacturing equipment, marketing, sales and customer services in product lifecycle management systems (PLM). This challenging complex of activities would be impossible without the support of recent information technology (IT). Descriptions of various engineering objects have been integrated into very complex product models. Main area of development in the next future is enhanced assistance of decisions in product modeling. Approach to high level of modeling and application of the highly integrated product model for simulation will be the virtual intelligent space where all outside and inside effects are reacted. In order to join this tendency, this paper introduces a methodology for integrated application of analysis of behaviors of modeled objects, adaptive actions for controlled modifications of engineering objects, and definition of optimal sets of parameters. In order to establish a virtual intelligent space, sensor signals in physical intelligent space are replaced by received change information and actuators are replaced by adaptive actions. In this paper, new concept of intelligent virtual product space (IVPS) as integrated description of physical product and other objects and processes is introduced. Following this, a method is proposed to include computational intelligence in product models in the form of control of behaviors of modeled product objects. Change management methods are explained in close connection with behavior analysis. Finally, some methods for control of the work of a virtual intelligent product space are detailed.
Arbitrary-Shaped Cluster Separation Using One-Dimensional Data Mapping and Histogram Segmentation
Authors: Hotta Seiji ,   Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan, Kiyasu Senya , Miyahara Sueharu ,   Department of Computer and Information Sciences, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki-shi, Nagasaki 852-8521, Japan
Published: April 2016

Of the many clustering methods proposed for separating arbitrarily shaped clusters, most had drawbacks in parameter sensitivity and high-computational cost requiring large amounts of memory. We propose one-dimensional (1D) mapping for separating arbitrarily shaped clusters using a list of neighbors. After mapping, we apply a discriminant threshold selection to the histogram of the data distribution in 1D space. We verified the feasibility of performance in experiments on synthetic toy data, image, and video segmentation.
Generalized Predictive Control in Flying Shear Equipment
Authors: Wang Jiun-Yaw ,   Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Road, Taipei, Taiwan 106, Chen Mao-Lin , Shih Ching-Long ,   Department of Electrical Engineering, Chien kuo Technology University, Chanwa, Taiwan
Published: April 2016

To develop and evaluate improved on-line flying-shear equipment control tasks, we introduces a Generalized Predictive Control (GPC) PID controller for positioning control of a flying-shear cutter. After successful trials and excellent regulation results, the GPC-based PID control algorithm with constraints is proved to be very robust.
Unexploded Ordnance Detection Using Region of Interest in Range Domain of Ground Penetrating Radar
Authors: Theera-Umpon Nipon ,   Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200 Thailand
Published: April 2016

Buried unexploded ordnance (UXO) and land mines are grave threats to civilians who go back to contaminated areas in the postwar period. In this research, we propose a new technique to detect UXOs from ground penetrating radar (GPR) signals. The technique is based on an energy-based feature of the region of interest (ROI). A ROI selection technique in range domain is also proposed. The proposed method was tested with the UXO data collected by Battelle company and the Ohio State University. This data set was made available to public through the Unexploded Ordnance Center of Excellence (UXOCOE), Department of Defense, U.S.A. The results evaluated in terms of Receiver Operating Characteristic (ROC) curves suggest that our proposed technique performs very well. Comparisons to a traditional detection technique and our previously proposed technique are conducted. The improvement by the proposed technique does not only speed up the UXO/land mine clearance operation, but also save operating cost.
Robust Non-Overshoot Time Responses Using Cascade Sliding Mode-PID Control
Authors: Tran Thanh H. ,   Faculty of Engineering, University of Technology, Sydney, PO Box 123, Broadway NSW 2007, Australia, Ha Quang P. , Nguyen Hung T.
Published: April 2016

Overshoot is a serious problem in automatic control systems. This paper presents a new method for elimination of the step response overshoot in a conventional PID-controlled system and enhancement of its robustness by cascading a sliding mode controller in the outer loop. The idea is first to use the cascade control principle to model the under-damped system under PID control with a second-order system. Then, by making use of the sliding mode control outer loop, a robust, reduced-order response can be obtained to suppress the control overshoot. The proposed approach can also deal with time delay systems. Its validity is verified through simulation for some dynamic systems subject to highly nonlinear uncertainties, where overshoot remains an issue.
State-Transition Computation Models and Program Correctness Thereon
Authors: Akama Kiyoshi ,   Division of Large-Scale Computational Systems, Information Initiative Center, Hokkaido University, Kita 11 Nishi 5, Kita-ku, Sapporo, Hokkaido 060-0811, Japan, Nantajeewarawat Ekawit ,   Computer Science Program, Sirindhorn International Institute of Technology, Thammasat University, Rangsit Campus, P.O. Box 22, Thammasat-Rangsit Post Office, Pathumthani 12121, Thailand
Published: April 2016

The common framework for formalizing state-transition computation models we present is based on a general theory for studying the interrelationship of specifications, programs, computation, and program correctness. We establish a necessary and sufficient condition for program correctness for this class of computation models and demonstrate framework application by formalizing, as its instances, two concrete examples of state-transition computation models – NAT and D-rule. We compare their correct-program spaces by introducing the embedding mapping concept.
Joint Attention Between a Human Being and a Partner Robot Based on Computational Intelligence
Authors: Kubota Naoyuki ,   Dept. of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan, Shimizu Toshiyuki , Abe Minoru ,   SORST, Japan Science and Technology Agency (JST),   EQUOS RESEARCH Co., Ltd. EV Laboratory
Published: April 2016

Discussing joint attention between a human being and a partner robot to ensure human-friendly communication, we extract the direction of human attention based on facial direction in images, and propose control of the partner robot based on the direction of the extracted human face. We propose extraction for the direction in which a hand points, and discuss experimental results for partner robots using our proposal.
Selected Papers from the 2nd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2006)
Authors: Zhao Shibin ,   Professor at Guangdong Polytechnic Normal University, Guangzhou, China, Dong Fangyan , Yoshida Shinichi ,   Assistant Professor at Tokyo Institute of Technology, Yokohama, Japan,   Assistant Professor at Kochi University of Technology, Kochi, Japan
Published: April 2016

Real-world applications include the complex behavior of natural phenomena and the human mind-issue not easily dealt with using conventional engineering. This calls for the use of softcomputing and computational intelligence. The International Symposium on Computational Intelligence and Industrial Applications (ISCIIA), targets the development of computational intelligence technology and increasing activity in applications to real-world systems in industry. The first ISCIIA conference, held in December 2004 at Hainan University, China, covered image processing, networks, signal processing, optimization, data mining, rough sets, and e-Learning. The second ISCIIA conference, held in Guangzhou, China, in November 2006 centered on 55 papers published in the ISCIIA 2006 proceedings. This special JACIII issue features seven papers from these proceedings dealing with intelligent image processing, brain science, human-computer interaction, data mining, and industrial applications. All are interesting, and the paper by Jing et al. was chosen as the best paper of the conference. This conference was chaired by Professor Lefu Wang, president of Guangdong Polytechnic Normal University, and Professor Shibin Zhao. The local organizing committee consisted of Professor Fengmei Zhang, Professor Shibin Zhao, Professor Jin Zhang, and Professor Jianxiong Zhang, all of whom worked to make this conference a success. Founding chairs, Professor Kaoru Hirota, Professor Shibin Zhao, and Dr. Raymond Tay also contributed much to the conference's interesting discussions and presentations, for which we are most grateful. The conference was sponsored by the International Fuzzy Systems Association (IFSA), the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Guangdong Polytechnic Normal University (GPNU), the Singapore Industrial Automation Association (SIAA), and the Center of Excellence 21-Agent Based Social Science Systems (COE21-ABSSS). The third ISCIIA will be held in 2008 in Dali, China, and we look forward to the advances in computational intelligence technology and its novel applications that this event will present.
Eye Position Estimation During Sleep Using Infrared Video in Functional MRI
Authors: Kobashi Syoji ,   Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan, Yahata Yuji , Kan Shigeyuki , Misaki Masaya , Koike Takahiko , Kondo Katsuya , Miyauchi Satoru , Hata Yutaka ,   CREST – Brain Function Imaging Team, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology, Japan
Published: April 2016

The determination of eye position during sleep attracted much attention in sleep study. Simultaneous measurement consisting of functional magnetic resonance imaging and infrared video was developed to study the relationship between eye movement and brain function during sleep. Conventional measurement of the eye position using infrared video images is not applicable to experiments during sleep because of the lack of tracking targets such as the pupil. This paper proposes a novel method for determining the eye position during sleep through infrared video images. This method determines the eye position by comparing intensity profile extracted from an image to intensity profiles generated by the artificial neural network (ANN). Experiments showed that the proposed method detected the eye position of the left eye with an error of 3.56 ± 3.61 (RMSE ± SD) pixels and that of the right eye with an error of 4.69 ± 4.73 pixels.
Generation System of Attractive Summary of Story
Authors: Nakano Shunsuke ,   Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba city, Ibaraki 305-8573, Japan, Onisawa Takehisa
Published: April 2016

This paper proposes a method to generate an attractive summary from a story and describes an attractive summary generation system based on the method. The system consists of two sections. The one is the section extracting an important part of a story, i.e., the part of a new turn of a story defined by the appearance frequency of new words in a story. The other is the section generating a summary from the extracted important part. This section chooses important sentences and deletes unnecessary phrases from the extracted part. Finally, this paper confirms the validity of the presented approach by subject’s experiments.
On-Line Fault Detection and Compensation of Hydraulic Driven Machines Using Modelling Techniques
Authors: Angeli Chrissanthi ,   Department of Mathematics and Computer Science, Technological Institute of Piraeus, Konstantinoupoleos 38, N. Smirni, GR-171 21 Athens, Greece, Chatzinikolaou Avraam ,   S. Patsi 62, GR-118 55 Athens, Greece
Published: April 2016

The development of on-line fault detection methods for drive and control systems is of main importance for the modern production technology. Modelling information improves the reliability of the diagnostic method when it is involved in a fault detection system. In this paper, the use of modelling information for the fault detection of hydraulic driven machines as well as for the compensation of incipient faults is presented. For this purpose a suitable implementation environment was developed that allows the on line interaction of real time data and simulation results and makes possible their direct effect to the actual system.
Developing Natural Language Enabled Games in SCXML
Authors: Brusk Jenny ,   Department of Game Design, Narrative and Time-based Media, Gotland University, Sweden, Lager Torbjörn ,   Department of Linguistics, Göteborg University, Sweden
Published: April 2016

The World Wide Web Consortium (W3C) has a standard in the pipeline – called SCXML – that may turn out to be very suitable for the design and implementation of games, in particular games featuring (possibly multimodal) natural language dialogue. We see three main reasons why SCXML may be a good fit for the game industry: 1) SCXML is all about statecharts – a powerful extension of finite-state machines – and we argue that statecharts has the right kind of expressivity for game design and de-velopment, 2) SCXML is an XML dialect (soon to be) endorsed by the W3C, and will thus become a part of a web infrastructure comprising speech technology and telephony, as well as other useful technologies for building games of certain genres, and 3) SCXML is designed for extensibility and it appears that it would be fairly straightforward – and very worthwhile – to build a game oriented extension (“profile”) around the SCXML core. The paper also presents an experimental implementation of SCXML, accessible from a user-friendly web-interface.
Fuzzy Logic Based Lane Change Model for Microscopic Traffic Flow Simulation
Authors: Errampalli Madhu ,   Graduate School of Engineering, Gifu University, Okushima Masashi , Akiyama Takamasa ,   Department of Civil Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
Published: April 2016

Lane changing phenomenon is vital in representing individual vehicle behaviour in microscopic traffic simulation, yet many lane change models do not consider the uncertainties and perceptions in human behaviour that are involved in modelling lane changing. In the present study, fuzzy reasoning in lane changing model is introduced to reflect these uncertainties and perceptions to represent lane changing behaviour more realistically. The comparison of simulated results with observed data indicated that fuzzy reasoning represents driver behaviour more realistically than standard modelling. The effectiveness of the proposed technique is demonstrated in a real urban network with bus lane policy.
A Dual Ternary Indexing Approach for Music Retrieval System
Authors: Jiau Hewijin Christine ,   National Cheng Kung University, Chang Chuan-Wang
Published: April 2016

Memory usage for storing indexes and query response times for retrieval processing are two critical issues in music information retrieval (MIR) systems. In this paper, we propose an effective and efficient numeric indexing structure to overcome the difficulties of variable length queries and enhance the efficiency of music retrieval. The proposed structure differs greatly from pre-existing research in textual indexing techniques such asn-gram and suffix tree because it does not need to generate redundant and useless indexes. The index construction process has no complicated split and joint operations making, is easier and faster than tree-like methods. Experimental results show that our method is more scalable and economical than previous methods. The proposed method can significantly reduce the processing time and storage for retrieving and indexing.
Supporting the Translation and Authoring of Test Items with Techniques of Natural Language Processing
Authors: Lu Ming-Shin ,   National Chengchi University, Wang Yu-Chun , Lin Jen-Hsiang , Liu Chao-Lin , Gao Zhao-Ming , Chang Chun-Yen ,   National Taiwan University,   National Taiwan Normal University
Published: April 2016

Using techniques of natural language processing to assist the preparation of educational resources for language learning has become an important field. We report two software systems that are designed for assisting the tasks of test item translation and test item authoring. We built a software environment to help experts translate the test items for the Trends in International Mathematics and Science Study (TIMSS). Test items of TIMSS are prepared in American English and will be translated to traditional Chinese. We also built a software environment for composing test items for introductory Chinese courses. The system currently aids the preparation of four important categories of test items, and the resulting test items can be administrated on the Internet.