bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposal of Visualization Method for Interpretable Fuzzy Model on Fusion Axes
Authors: Yamamoto Kosuke ,   Department of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan, Yoshikawa Tomohiro , Furuhashi Takeshi
Published: April 2016

Interpretability of fuzzy models has become one of the major topics in the field of fuzzy modeling. Visualization that makes input-output relationships interpretable is effective in extracting useful knowledge from unknown data. This paper presents visualization method that considers the visibility of fuzzy models. This method identifies clusters that have different statistical features, and projects the data to the “fusion axes”, which are linear combinations of the multiple input variables, considering the distribution of each cluster in the projected space. This paper applies the proposed method to artificial data and also to collected data from the mobile robot, and shows that the proposed method can extract useful knowledge from the obtained visible and interpretable models.
Novel Approach to Determining Camera Motion Parameters
Authors: Sakina Ken-ichi ,   Department of Computer Engineering, Hakodate National College of Technology, 14-1 Tokuracho, Hakodate, Hokkaido 042-8501, Japan
Published: April 2016

We discuss the expression of space rotation in terms of complex numbers and present explicit formulas for computing the direction of the rotation axis and angle. These formulas are applied to determining camera motion parameters from two perspective views. Our approach requires only 3 space points and their physical distances from the camera to determine motion parameters. We compare the proposed method with other methods and check it numerically.
Genetic Algorithm On Line Controller for the Flexible Inverted Pendulum Problem
Authors: Dadios Elmer P. ,   Department of Manufacturing Engineering and Management, 2401 Taft Avenue, De La Salle University, Manila 1004, Philippines, Fernandez Patrick S. , Williams David J. ,   National Power Corporation, Diliman, Quezon City 1004, Philippines,   Loughborough University, Loughborough Leicestershire, LE11 3TU, U.K.
Published: April 2016

This paper presents a real time controller for a highly non-linear system. The Flexible Pole-Cart Balancing Problem (FPCBP) is used as the test case to investigate the learning capability of Genetic Algorithm (GA) in physical application. The controller developed is initially trained using a set of data taken from on line dynamics of the flexible pole cart balancing system. Based from the physical data of the system, the weights W1 to W6 are optimized by the genetic algorithm in order to determine the correct value of the force applied to the cart. The trained GA-based controller then controls the physical Flexible Pole-Cart Balancing system for infinite time. Analysis on the behavior of the GA model developed is presented. Results of the physical experiments show that the controller developed is accurate, adaptive and robust.
Multi-Agent Based Control of a Heterogeneous System
Authors: Li Howard ,   Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1, Karray Fakhreddine , Basir Otman , Song Insop
Published: April 2016

In this study, the Coordinated Hybrid Agent (CHA) framework for the control of Multi-Agent Systems (MASs) is applied for a heterogeneous multi-agent system. The system consists of a mobile robot, an overhead crane, and a robot manipulator. The final goal for this project is to implement coordination tasks for the system. In this framework, the control of the MAS is regarded as a decentralized control and coordination of agents. A coordination rule base is developed for the intelligent coordination control layer. Experiments show that the framework is able to model the heterogeneous multi-agent systems.
Precision Machining with Micro-Scale Vertical Machining Center
Authors: Cox Daniel J. ,   George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405, USA, Newby Glynn , Park Hyung Wook , Liang Steven Y. , Liu Wang-Lin , Hsieh Shang-Bin , Hwang Joon ,   Precision Machinery Research and Development Center, Taichung, Taiwan, ROC,   Department of Electrical Engineering National Changhua University of Education, Changhua, Taiwan, ROC,   Mechanical Design Department, ChungJu National University, ChungJu, Chung-Buk 380-702, Korea
Published: April 2016

Micro machining is an emerging technology with extremely large benefits and equally great challenges. The push to develop processes and tools capable of micro scale fabrication results from the widespread drive to reduce part and feature size in many industrial and commercial sectors. For many micro machining applications, the technology of mechanical solid tool machining offers attractive merits as it can create truly three-dimensional and one-of-a-kind parts of extremely high resolutions without significant limitation of part materials. For mechanical solid tool machining, the control of three-dimensional motions between machines, tools, and parts to sub-micron level of precision is a perquisite to the realization of manufacturing at such fine scales. One important factor that contributes to the machining process accuracy is the overall size of the machine tool due to the effects of thermal, static, and dynamic stabilities. This paper will assess the technological benefits of miniaturization of machine tools in the context of machine stiffness and accuracy. It also presents the design philosophy and configuration of a 4-axis miniaturized vertical machining center of positioning accuracy of 4 to 10nm and a machine volumetric envelop less than (300mm)3, which is several thousand times smaller than traditional machining centers. A series of tests are discussed for performance evaluation of the miniaturized machining center in terms of the achievable finish and part form accuracy with respect to the process parameters and part geometrical complexity in 1-D, 2-D, and 3-D cases.
Preparation of Cation Exchanger Using Electrospun Polystyrene Nanofiber
Authors: An Hyung-Hwan ,   Department of Safety Engineering, National Chungju University, 123 Geomdan-ri, Iryu-myeon, Chungju, Chungbuk 380-702, Korea, Shin Changyun ,   Energy Lab., Samsung SDI Central Research, 575 Shin-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-391, Korea
Published: April 2016

We studied a new ion exchanger for high ion exchange capacity (IEC) and rapid ion exchange. Polystyrene nanofiber ion exchangers (PSNIEs) were prepared by electrospinning from solutions of dissolved polystyrene followed by sulfonation. Coating and sulfonation were used to modify the glass fiber surface with polystyrene to produce cation exchanger fiber (CEF). We present new experimental results on the performance of PSNIE and CEF related to parameters of IEC, water uptake, and surface morpoholgy. IEC and water uptake of PSNIE depend on sulfonation time. IEC reached 3.74 mmol/g at relatively high water uptake of 0.6 to 0.77g H2O/g-dry-PNIE. IEC and water uptake of CEF reached 3.61mmol/g-CEF and 0.25g H2O/g-dry-CEF.
Formalization of the Equivalent Transformation Computation Model
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, P.O. Box 22, Thammasat-Rangsit Post Office, Rangsit Campus, Pathumthani 12121, Thailand
Published: April 2016

In the equivalent transformation (ET) computation model, a specification provides background knowledge in a problem domain and defines a set of queries of interest. A program is a set of prioritized transformation rules, and computation consists in successive reduction of queries using meaning-preserving transformation with respect to given background knowledge. We present a formalization of the ET model from the viewpoint of program synthesis, where not only computation but also program correctness and correctness relations are of central importance. The notion of program correctness defines “what it means for a program to be correct with respect to a specification,” and a correctness relation provides guidance on “how to obtain such a program.” The correctness relation of the ET model is established, based on which how the basic structure of the ET model facilitates program synthesis is discussed together with program synthesis strategies in this model.
Machine Vision System for Automatic Inspection of Surface Defects in Aluminum Die Casting
Authors: Frayman Yakov ,   Intelligent Systems Research Group, School of Engineering and Information Technology, Deakin University, Waurn Ponds, Geelong VIC 3217, Australia, Zheng Hong , Nahavandi Saeid ,   School of Electronic Information, Wuhan University, 129 Luoyu Road, Wuhan 430079, P.R.China
Published: April 2016

A camera based machine vision system for the automatic inspection of surface defects in aluminum die casting is presented. The system uses a hybrid image processing algorithm based on mathematic morphology to detect defects with different sizes and shapes. The defect inspection algorithm consists of two parts. One is a parameter learning algorithm, in which a genetic algorithm is used to extract optimal structuring element parameters, and segmentation and noise removal thresholds. The second part is a defect detection algorithm, in which the parameters obtained by a genetic algorithm are used for morphological operations. The machine vision system has been applied in an industrial setting to detect two types of casting defects: parts mix-up and any defects on the surface of castings. The system performs with a 99% or higher accuracy for both part mix-up and defect detection and is currently used in industry as part of normal production.
Dynamic Interaction of Syntactic and Semantic Analyses Based on the Equivalent Transformation Computation Model
Authors: Koike Hidekatsu ,   Faculty of Social Information, Sapporo Gakuin University, 11-banchi Bunkyodai, Ebetsu, Hokkaido 060-8555, Japan, Akama Kiyoshi , Mabuchi Hiroshi ,   Division of Large-Scale Computational Systems, Information Initiative Center, Hokkaido University, Kita 11 Nishi 5, Kita-ku, Sapporo, Hokkaido 060-0811, Japan,   Faculty of Software and Information Science, Iwate Prefectural University, 152-52 Sugo, Takizawa, Iwate 020-0193, Japan
Published: April 2016

In much conventional natural language processing, syntactic and semantic analyses are executed sequentially, which is inefficient due to computation sequence inflexibility. In this paper, we present system design based on the equivalent transformation computation model to construct natural language understanding that executes integrated syntactic and semantic analyses and generates all correct answers with adequate efficiency. The advantages of using the equivalent transformation include speed, provable correctness, and rule-based intuitive design. Equivalent transformation changes declarative descriptions, each of which represents constraints, one step at a time. Each step is proven to preserve the semantic meaning of a declarative description. We use numerous constraints for formalization and processing sequence is decided dynamically at runtime based on context. We demonstrate flexible processing that reduces the amount of computation by explaining the analysis of a sample Japanese sentence describing a chess move on a chessboard.
MASP – An Enhanced Model of Fault Type Identification in Object-Oriented Software Engineering
Authors: Mahaweerawat Atchara ,   Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkorn University, Phyathai Road, Patumwan, Bangkok 10330, Thailand, Sophatsathit Peraphon , Lursinsap Chidchanok , Musilek Petr ,   Facility for Advanced Computational Intelligence and Applications (FACIA), Department of Electrical and Computer Engineering, Faculty of Engineering, University of Alberta, W2-030 ECERF, Edmonton, Alberta T6G 2V4, Canada
Published: April 2016

To remain competitive in the dynamic world of software development, organizations must optimize the use of their limited resources to deliver quality products on time and within budget. This requires prevention of fault introduction and quick discovery and repair of residual faults. In this paper, a new model for predicting and identifying of faults in object-oriented software systems is introduced. In particular, faults due to the use of inheritance and polymorphism are considered as they account for significant portion of faults in object-oriented systems. The proposed MASP model acts as a fault metric selector that gathers relevant filtering metrics suitable for specific fault types employing coarse-grained and fine-grained metric selection algorithms. A fault predictor is subsequently established to identify the fault type of individual fault classification. It is concluded that the proposed model yields high discrimination accuracy between faulty and fault-free classes.
Extracting Objects Using Contour Evolutions in Edge-Based Object Tracking
Authors: Tsuji Hiroyuki ,   Department of Information and Computer Sciences, Faculty of Information Technology, Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi, Kanagawa 243-0292, Japan, Tokumasu Shinji , Takahashi Hiroki , Nakajima Masayuki ,   Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro, Tokyo 152-8550, Japan
Published: April 2016

We propose edge-based object extraction targeting automatic video object plane (VOP) generation in MPEG-4 content-based video coding. In an edge-based VOP generation framework proposed by Meier, the object is represented as a binary edge image that does not generally form a closed contour and that also contains many extra edges, making extracting the object contour accurately less straightforward in such situations. To solve this problem, we adopt a PDE-based contour evolution approach to evolve initial multiple contours contained inside the object toward its boundary based on evolution equations, and to finally merge them into a single contour that accurately represents the object’s shape. Our experimental results using an MPEG standard image sequence show that object contours obtained as we propose appear subjectively more natural in shape compared with those obtained by two conventional methods, especially when the binary object model is not in good condition.
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization
Authors: Eguchi Toru ,   Graduate School of Information, Production and Systems, Waseda University, Hibikino 2-7, Wakamatsu-ku, Kitakyushu, Fukuoka 803-0135, Japan, Zhou Jin , Eto Shinji , Hirasawa Kotaro , Hu Jinglu , Markon Sandor ,   The Product Development HQ of Fujitec Co. Ltd., 1-28-10 Sho, Ibaraki, Osaka, Japan
Published: April 2016

Genetic Network Programming (GNP) having a directed graph structure has been proposed as a new method of evolutionary computation. Recently, GNP has been applied to elevator group supervisory control system (EGSCS), a real-world problem, to demonstrate its applicability and effectiveness. Its previous study considers the known and fixed traffic flow, however, it is changed dynamically with time in real elevator systems. Therefore, an EGSCS with dynamic adaptive control considering such changes should be studied for practical applications. In this paper, we have applied GNP with functional localization to an EGSCS to construct such an adaptive system. In our proposal, the switching GNP can switch the functionally localized GNPs (assigning GNPs) based on the special traffic. Simulation confirmed the adaptability and effectiveness of our proposal in daily office-building traffic.
An Efficient Algorithm for Traffic Sign Detection
Authors: Soetedjo Aryuanto ,   Information Science and Control Engineering, Nagaoka University of Technology, 1603-1 Kamitomiokamachi, Nagaoka, Niigata 940-2188, Japan, Yamada Koichi ,   Management and Information Systems Science, Nagaoka University of Technology, 1603-1 Kamitomiokamachi, Nagaoka, Niigata 940-2188, Japan
Published: April 2016

We propose an efficient algorithm for detecting traffic signs in images.Geometric fragmentationdetects circular red traffic signs in an image by finding and combining the left and right fragments of elliptical objects to increase the accuracy of detection and cope with occlusion. The search for fragments resembles a genetic algorithm (GA) in that it uses the termsindividual,population,crossover, andobjective functionused in the GA. It is different in that it conducts a concurrent random search in a small two-dimensional space devised heuristically. The objective function for evaluating individuals is devised to increase detection accuracy and reduce computation time. The algorithm was tested for detecting circular red traffic signs both from artificial sign images and real scene images. Experimental results demonstrated that the proposed algorithm has higher detection, fewer false alarms, and lower computation cost than GA-based ellipse detection. Compared to conventional template matching, the proposed algorithm performs better in detection and execution time and does not require a large number of carefully prepared templates.
An Approach to Collaborative Scheduling Through Group Decision Support
Authors: Almeida Ana ,   Knowledge Engineering and Decision Support Group, Institute of Engineering, Polytechnic of Porto, Rua Dr. Antonio Bernardino de Almeida, 4200-072 Porto, Portugal, Marreiros Goreti
Published: April 2016

The model we present supporting collaborative scheduling in complex dynamic manufacturing environments, considers the interaction between an agent-based scheduling module (ASM) and a group decision support module (GDSM). The ASM outputs a set of candidate scheduling solutions, each generated based on specific criteria and/or by a particular method. Scheduling is a multicriteria decision problem in practice where different schedulers may agree on key objectives but differ greatly on their relative importance in any given situation. Interaction among scheduling actors is supported by the GDSM selecting a scheduling solution.
Incorporating Infatuation in Multi-Agent Systems
Authors: Maleković Mirko ,   Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, HR 42000 Varaždin, Hrvatska, Croatia, Čubrilo Mirko
Published: April 2016

In this paper we describe incorporating infatuation in multi-agent systems. Modal operators Ii+ for infatuation (the focusing on a single attractive or desirable characteristic of another agent and then considering the total agent as that one positive characteristic) and Ii- for the reverse infatuation (the focusing on a negative characteristic of an agent and then considering the total agent as that one negative characteristic) are defined. Some relationships between the operator Ii+ and the logical operators ∧, ∨, and ⇒ are characterized.
Realizing Functional Localization Using Genetic Network Programming with Importance Index
Authors: Eto Shinji ,   Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan, Hatakeyama Hiroyuki , Mabu Shingo , Hirasawa Kotaro , Hu Jinglu
Published: April 2016

Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named Genetic Network Programming (GNP) has also been developed recently along with these trends. The aim of this paper is to build an artificial model to realize functional localization of GNP considering the fact that the functional localization of the brain is realized in such a way that a different part of the brain corresponds to a different function. In this paper, it is especially stated that the switching function for functional localization can be realized using GNP with Importance Index (GNP IMX).
Application of Fuzzy Inference Method in Printing Pressure State Expectation System
Authors: Jing Jianping ,   R&D Division, Iinuma Gauge MFG. CO. LTD., 11400-1078 Azaharayama, Tamagawa, Chino, Nagano 391-8550, Japan, Takama Yasufumi , Yamaguchi Toru ,   Faculty of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan,   Department of Information and Communication Systems Engineer, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan
Published: April 2016

To solve a problem in determining the printing pressure of printing machine for real-world liquid crystal display panel (LCD) production, a Printing Pressure expectation system is proposed based on a fuzzy inference method. In real-world LCD panel production, the recognition of printing pressure conditions and its control is a very important and difficult factor that influences the product quality. It is usually performed by skilled engineers, whose performance highly depends on his tacit knowledge. In the proposed system, a fuzzy inference method is employed to solve the problem. Images of the printing area are observed with cameras, from which abstract features are extracted with image processing. The output of the system is the state of printing pressure, which is divided into 3 states: EXCESSIVE PRESSURE (EP), GOOD PRESSURE (GP), and LOW PRESSURE (LP). Based on the abstract features, the state is estimated with fuzzy membership functions. The shapes of membership functions are determined based on the sampled glasses obtained in actual LCD production line. The experiments are performed with the 2000 glasses that are also printed with actual printing machines, of which the result is compared with that of skilled engineers. It is shown that the proposed system outperforms the quality of skilled engineers. The developed system is installed in actual production line, and it is expected to increase the product quality and production speed, as well as to cut off production costs.
A Theoretical Formulation of Object-Oriented Rough Set Models
Authors: Kudo Yasuo ,   Department of Computer Science and Systems Engineering, Muroran Institute of Technology, 27-1 Mizumoto, Muroran 050-8585, Japan, Murai Tetsuya ,   Graduate School of Information Science and Technology, Hokkaido University, Kita 14, Nishi 9, Kita-Ku, Sapporo 060-0814, Japan
Published: April 2016

We introduce object-oriented paradigm into rough set theory. First, we provide concepts of class, object, and name, respectively. Class structures represent abstract data forms, and abstract structural hierarchy based on is-a relationship and has-a relationship. Object structures illustrate many kinds of objects and actual dependence among objects by is-a relationship and has-a relationship. Name structures provide concrete design of objects, and connect class structures and object structures consistently. Next, combining class, name and object structures, we propose object-oriented information systems, which include “traditional” information systems as special cases. Moreover, we introduce indiscernibility relations on the set of objects, lower and upper approximations, and object-oriented rough sets in the object-oriented information systems.
Analysis of Specifications for Web Screen-Design Using Rough Sets
Authors: Harada Toshinobu ,   Department of Design and Information Sciences, Wakayama University, 930 Sakaedani, Wakayama 640-8510, Japan, Tanaka Ryousuke
Published: April 2016

Recent Web sites have created the impression of representing companies or universities. Little research has been done to verify the relations between the composition elements of Web sites and the sense of values using nonlinear methods such as rough sets. We made a Web site for a university in the design and information design field into a case study, and aimed at clarifying the relation between the composition elements and users’ sense of values regarding the Web site. First, a questionnaire for sample Web sites was conducted using six terms to evaluate the sense of values. We then analyzed the results with multiple regression analysis, and clarified what evaluation terms affected their degree of aesthetic appeal. As a result, the subjects were classified by their sense of values into five clusters. Furthermore, combinations of composition elements for the Web site affecting the degree of aesthetic appeal in each cluster were extracted using rough sets. As a result of assessing the new Web site on the basis of the above results, we found that impressions and aesthetic appeal are controllable.
Optimizing Web Services Performance Using Cache
Authors: Vilas Julio Fernández ,   Telematic Engineering Department, University of Vigo, Campus Universitario s/n, 36310 Vigo, Spain, Arias Jose J. Pazos , Vilas Ana Fernández
Published: April 2016

Due to the complex infrastructure of web applications (using application servers, web servers, database servers, etc.) response times perceived by clients can be significantly larger than they would like. The same can be applied to web services that have been implemented using the same web technology. On the other side, repeated invocations to the same “read-only” web service with the same request data may often produce the same response from the provider, what can be considered a useless work. In the search for a performance improvement, we propose a cache-based extension to the architecture that can enhance current web services architecture in a way different to other proposed solutions that are based in program-logic-dependent or protocol-dependent optimization techniques.
Visual Cortex Inspired Intelligent Contour Detection
Authors: Reskó Barna ,   Computer and Automation Research Institute, Hungarian Academy of Sciences, 1111 Budapest, Kende u. 13-17, Petres Zoltán , Róka András , Baranyi Péter
Published: April 2016

The present paper proposes a model for intelligent image contour detection. The model is strongly based on the architecture and functionality of the mammalian visual cortex. A pixel-to-feature transformation is performed on the input image, the result of which is a set of abstract image features, instead of another set of pixels. The contouring task is performed by a vast and complex network of simple units of computation that work together in a parallel way. The use of a large number of such simple units allows a clear structure that can be implemented on a special hardware to allow constant time computation.
Everyday-Language Computing Project Overview
Authors: Kobayashi Ichiro ,   Ochanomizu University, 2-1-1 Ootsuka, Bunkyo-ku, Tokyo 112-8610, Japan, Sugeno Michio , Sugimoto Toru , Iwashita Shino , Ito Noriko , Iwazume Michiaki , Takahashi Yusuke ,   Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan,   Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan,   Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan,   National Institute of Information and Communications Technology,   Justsystem Corporation, Aoyama bldg., 1-2-3 Kita-Aoyama, Minato-ku, Tokyo 107-8640, Japan
Published: April 2016

This paper explains an overview of everyday language computing (ELC) promoted by the Laboratory for Language-Based Intelligent Systems, Brain Science Institute, RIKEN from 2000 to 2005. The objective of ELC was to develop a language-based intelligent system. To do this, we constructed a computational model of language in context, called the Semiotic Base, and developed computational algorithms for text understanding and generation, which are basic information processing in the ELC framework. Based on these resources and algorithms, we constructed a computing environment in which language is used as an information medium to process information. To demonstrate its feasibility, we developed language-based applications such as a language-based wordprocessor, language-based programming, and “smart” help. We explain the basic principles of ELC, outline of its basic technologies, and discuss applications developed based on the ELC framework.
Systemic-Functional Context-Sensitive Text Generation in the Framework of Everyday Language Computing
Authors: Takahashi Yusuke ,   Justsystem Corporation, Aoyama bldg., 1-2-3 Kita-Aoyama, Minato-ku, Tokyo 107-8640, Japan, Kobayashi Ichiro ,   Dept. of Information Sciences, Faculty of Science, Ochanomizu University, 2-1-1 Ootsuka, Bunkyo-ku, Tokyo 112-8610, Japan
Published: April 2016

The present text generator using resources based on Systemic Functional Linguistics (SFL). Resources are compiled in a database called the Semiotic Base, which deals with language in context. In contrast to previous SFL-based text generation systems, our comprehensive proposal contains the Context Base, which deals with context surrounding text, and covers all strata, from context to expression. Its text generation process maximizes the use of the Semiotic Base resources, i.e., system networks dealing with linguistic features. Our text generation system is resource-driven, draws heavily on information provided by the Semiotic Base, and minimizes information input.
A Human Interface Based on Linguistic Metaphor and Intention Reasoning
Authors: Yamada Koichi ,   Department of Management and Information Systems Science, Nagaoka University of Technology, 1603-1 Kami-tomioka, Nagaoka, Niigata 940-2188, Japan, Tamai Mutsumi , Unehara Muneyuki ,   Department of Management and Information Systems Engineering, Nagaoka University of Technology
Published: April 2016

The human interface design for household appliances is becoming far more difficult than that in the past, because they have so many functions that the users could not remember all of their operations as well as the size is so compact that enough buttons, switches, and/or displays could not be placed on the control panel. The paper proposes a novel idea of human interface named Push like talking for such appliances, which could be a new design paradigm for the human interface of future electronic/information appliances. The PLT is applied to a human interface of a multi-functional telephone. Then, the evaluation shows the possibility that the PLT paradigm would provide a manualless human interface for appliances in the future.
Automatic Metadata Annotation Based on User Preference Evaluation Patterns
Authors: Saito Mari ,   Sony Corporation, 6-7-35 Kita-Shinagawa, Shinagawa, Tokyo 141-0001, Japan
Published: April 2016

In the automatic metadata annotation we propose effective in content recommendation matched to user preference, content is clustered based on user evaluation patterns for sampled content, not on the content itself. Non-sampled content is also annotated into proper clusters after metadata-based prediction. Verification of our approach using wine recommendation showed that our metadata was the most effective among many sets of metadata.
Dynamic Sense Representation Using Conceptual Fuzzy Sets
Authors: Sekiya Hiroshi ,   Department of Computer Science, Meiji University, 1-1-1 Higashi Mita, Tama-ku, Kawasaki-shi, Kanagawa 214-8571, Japan, Kondo Takeshi , Hashimoto Makoto , Takagi Tomohiro
Published: April 2016

The ambiguity in language is one of the most difficult problems in dealing with word senses using computers. Word senses vary dynamically depending on context. We need to specify the context to identify these. However, context also varies depending on granularity and the viewpoint of the topic. Therefore, generally speaking, people pay attention to the part of the attributes of the entity, which the dictionary definition of the word indicates, depending on such variant contexts. We call this “aspectual sense.” In this paper, we propose a method to represent such senses using conceptual fuzzy sets. First we generate atomic conceptual fuzzy sets automatically using word sequences just before the target word and the modified confabulation model (a prediction method similar to the n-gram model). Then we assign a word to the appropriate fuzzy set using a method based on co-occurrences. Based on an experiment using a large corpus, which was the AQUAINT collection consisting of 1 million newswire text data in English compiled from three sources, we generated each atomic conceptual fuzzy set expressed in the aspectual sense depending on variant contexts. Then we experimented using a few keywords, phrased like short queries, in a general information retrieval task, which is a difficult situation to extract context. The results of this task demonstrated that each assigned fuzzy set corresponding to context predicted by the few keywords was appropriate.
Common Sense from the Web? Naturalness of Everyday Knowledge Retrieved from WWW
Authors: Rzepka Rafal ,   Language Media Laboratory, Research Group of Information Media Science and Technology, Division of Media and Network Technologies, Graduate School of Information Science and Technology, Hokkaido University, Kita 14 Nishi 9, Kita-ku, Sapporo 060-0814, Japan, Ge Yali , Araki Kenji
Published: April 2016

This paper is to suggest opportunities for advanced systems hiding in the millions of WWW pages. While usually the Internet is used for achieving knowledge for humans, we present opposite approach where a machine retrieves usual knowledge about humans, their common behaviors and feelings. We claim that in long run such capability will be necessary for every machine interacting with a human user. We will concentrate on our theories and illustrate them with the results of web-mining experiment.
Semantic Representation for Understanding Meaning Based on Correspondence Between Meanings
Authors: Takagi Akira ,   CSK Systems Corp., 2-26-1 Minami-Aoyama, Minato-ku, Tokyo 107-0062, Japan, Asoh Hideki , Itoh Yukihiro , Kondo Makoto , Kobayashi Ichiro ,   National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan,   Faculty of Informatics, Shizuoka University, 3-5-1 Jouhoku, Hamamatu-shi, Shizuoka 432-8011, Japan,   Faculty of Science, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan
Published: April 2016

One of the biggest problems in natural language processing is that its processing target (i.e. the surface expressions of sentences) has a great deal of diversity. In order to reduce the difficulty, it is desirable to extract the semantic content denoted by a sentence in such a way that it does not depend on the surface expressions as much as possible. This paper proposes a new semantic representation and general interpretive procedures that enable us to obtain the result of semantic interpretation from a variety of surface expressions of the input independently of their dependency structures. In the semantic representation to be proposed, a variety of surface dependency relations are compressed into attribute nouns, and the meaning expressed by dependency relation is represented in a uniform style (i.e. attribute = value). This approach enables us to establish correspondence between meanings by using the attribute-value pair as a basic unit. With this semantic representation and the general interpretive procedures, the same interpretive result can be obtained from sentences with different dependency structures. We will further demonstrate that semantic contents of multiple sentences can be integrated by interpreting them based on the correspondence between meanings.
A Histogram Modification Approach for Analysis of Membership Function Relocation in Fuzzy Logic Control
Authors: Lu Jia ,   Department of Information System, University of Phoenix, 5050 NW 125 Avenue, Coral Springs, FL 33076, USA, Hu Yunxia
Published: April 2016

A histogram modification approach was proposed for the analysis of membership function relocation. We employed this approach to explicitly analyze and exploit the accurate approximation of the error and change in error input for the membership functions. The paper integrated knowledge-based fuzzy control rule with the histogram modification methods to analyze the control spatial distribution of the membership functions with the intervals for the error and change in error in real time error histogram. For this research, we also described the principle of design and sufficient theory analysis methods. The simulations were provided for the illustration and analysis on the extensive control operations for the effectiveness of our approach.
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm
Authors: Sohn Dongkyu ,   Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka 808-0135, Japan, Hatakeyama Hiroyuki , Mabu Shingo , Hirasawa Kotaro , Hu Jinglu
Published: April 2016

A novel optimization method named RasID-GA (an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm) is proposed in order to enhance the searching ability of conventional RasID, which is a kind of Random Search with Intensification and Diversification. In this paper, the timing of switching from RasID to GA, or from GA to RasID is also studied. RasID-GA is compared with parallel RasIDs and GA using 23 different objective functions, and it turns out that RasID-GA performs well compared with other methods.
An Efficient Specification for System Verification
Authors: Yamada Chikatoshi ,   Takushoku University Hokkaido College, 4558 Memu, Fukagawa, Hokkaido 074-8585, Japan, Nagata Yasunori , Nakao Zensho ,   Department of Electrical and Electronics Engineering, University of the Ryukyus, 1 Senbaru, Nishihara, Nakagami, Okinawa 903-0213, Japan
Published: April 2016

In design of complex and large scale systems, system verification has played an important role. In this article, we focus on specification process of model checking in system verifications. Modeled systems are in general specified by temporal formulas of computation tree logic, and users must know well about temporal specification because the specification might be complex. We propose a method by which specifications with temporal formulas are obtained inductively. We will show verification results using the proposed temporal formula specification method, and show that amount of memory, OBDD nodes, and execution time are reduced.
Multilayered Fuzzy Behavior Control for an Autonomous Mobile Robot with Multiple Omnidirectional Vision System: MOVIS
Authors: Maeda Yoichiro ,   Dept. of Human and Artificial Intelligent Systems, Graduate School of Engineering, Univ. of Fukui, 3-9-1 Bunkyo, Fukui-shi, Fukui 910-8507, Japan, Shimizuhira Wataru ,   Kyoto R&D Center Mechanism Team, Murata Machinery, Ltd., 136 Takeda-Mukaishiro-cho, Fushimi-ku, Kyoto 612-8686, Japan
Published: April 2016

We propose a multiple omnidirectional vision system (MOVIS) with three omnidirectional cameras and calculation for measuring an object position and localization in an autonomous mobile robot. In identifying the robot’s location, we improved measurement accuracy by correcting the absolute location based on landmark measurement error in the origin of absolute coordinates. We propose omnidirectional behavior control for collision avoidance and object chasing using fuzzy reasoning in an autonomous mobile robot with MOVIS. We also report experimental results confirming the efficiency of our proposal using a RoboCup soccer robot in a dynamic environment.
Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization
Authors: Miyamoto Sadaaki ,   Department of Risk Engineering, Faculty of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan, Endo Yasunori , Hanzawa Koki , Hamasuna Yukihiro ,   Master’s Program in Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Published: April 2016

A family of automatic container loading problems is studied and algorithms are proposed. The algorithms are constructed with metaheuristics and include flat and/or vertical loading schemes, loading efficiency, stability of loaded objects, and computational requirement. Commonsense and expert knowledge incorporation is considered to combine with metaheuristics. Handling groups of objects in a metaheuristic scheme is moreover considered. Numerical examples are given.
An Inference Method for Fuzzy Quantified Natural Language Propositions Based on New Interpretation of Truth Qualification
Authors: Okamoto Wataru ,   Yokohama, Kanagawa 240-0042, Japan, Tano Shun’ichi , Iwatani Toshiharu , Inoue Atsushi ,   University of Electro-Communications, Chofu, Tokyo 182-8585, Japan,   Kobe Steel Ltd., Kobe, Hyogo 651-8585, Japan,   Eastern Washington University, Cheney, WA 99004-2412, USA
Published: April 2016

In this paper, we propose a method that affects inference results leading to a new interpretation of a truth qualification by adding a weight attribute to truth qualified fuzzy sets. With this method, we can obtain different inference results depending on the truth qualifiers by transforming a statement with fuzzy quantified and truth qualified natural language propositions. We applied our method to four examples transforming a fuzzy predicate of the natural language propositions and showed an effectiveness of the method.
Genetic Network Programming with Actor-Critic
Authors: Hatakeyama Hiroyuki ,   Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan, Mabu Shingo , Hirasawa Kotaro , Hu Jinglu ,   Advanced Research Institute for Science and Engineering, Waseda University, 2-2 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan
Published: April 2016

A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been already proposed. GNP represents its solutions as graph structures, which can improve the expression ability and performance. In addition, GNP with Reinforcement Learning (GNP-RL) was proposed a few years ago. Since GNP-RL can do reinforcement learning during task execution in addition to evolution after task execution, it can search for solutions efficiently. In this paper, GNP with Actor-Critic (GNP-AC) which is a new type of GNP-RL is proposed. Originally, GNP deals with discrete information, but GNP-AC aims to deal with continuous information. The proposed method is applied to the controller of the Khepera simulator and its performance is evaluated.
Evaluation of Appropriate Body Placement and Notification Modality of a Wearable Clip-on Notifier Using an Experimental Platform
Authors: Kostov Vlaho ,   Matsushita Electric Industrial Co., Ltd. (Panasonic), Corporate R&D, 1006 Kadoma, Kadoma-shi, Osaka 571-8501, Japan, Naito Eiichi , Tajima Takashi , Ozawa Jun ,   Matsushita Electric Industrial Co., Ltd. (Panasonic), Advanced Technology Research Laboratories, 3-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0237, Japan
Published: April 2016

We have designed and developed an experimental infrastructure capable of interacting with different wearable information terminals for delivery of timely push information based on the user profile. Focusing on the evaluation of the body placement, we have developed a wearable clip-on notifier which can be placed on different parts of the human body. It is a small accessory device capable of producing visual, buzzer-audio and tactile-vibrator effects with a natural and relatively small form-factor in a shape of a paper clip that can be attached or be worn as a pendant. In order to evaluate the best placement and modality for the clip-on notifier, we have selected a number of position candidates and have performed in-situ notification experiments while the subjects performed different activities. We have presented a good hierarchical system for subjective evaluation of the notifier placements, and our device was shown as potential solution for personalized information notification.
Intelligent Work-Study Support Based on Interactive Web Guide
Authors: Tanaka Masaaki ,   Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi 466-8555, Japan, Matsuo Tokuro , Ito Takayuki , Ozono Tadachika , Shintani Toramatsu ,   School of Project Design, Miyagi University, Gakuen 1, Taiwa, Kurokawa, Miyagi, Japan
Published: April 2016

Advances in the Internet have enabled the dissemination of many types of e-learning in assisted education. We propose a collaborative learning support system (CLSS) for studying in the classroom and off-campus. Users study cultural and historical sites through a field trip using our system and cellphones. We report the results of learning based on experience and study using online Web-based authoring support overcoming the limitations of conventional Web page authoring support making it difficult for learners to make web pages. We propose a Web-pamphlet making support system (WPASS) as a CLSS subsystem in which users easily construct and edit their study notes. The WPASS provide services to edit Web pages via a browser and enables teachers to advise learners thorough these pages. We discuss the advantages and effectiveness of our proposal, which supports making a Web guide for users in experienced learning, making and editing Web pages in real time and write about their experiences using cellphones. CLSS has the advantages of enabling (1) beginners to become experienced in PC use, (2) users to make Web guides for their activities, (3) mentors to give appropriate Web guidance, (4) users to learn and discuss the ethics of using cellphones in public, (5) users to keep long-term records of activities.
Avoidance Ability of Redundant Mobile Manipulators During Hand Trajectory Tracking
Authors: Minami Mamoru ,   Dept. of Human and Artificial Intelligence System, University of Fukui, 3-9-1 Bunkyo, Fukui 910-0017, Japan, Tanaka Hiroshi , Mae Yasushi ,   Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-0017, Japan
Published: April 2016

We propose a criterion of obstacle avoidance for a mobile manipulator, consisting of a redundant manipulator and a mobile robot. In the configuration control study of redundant manipulators, the avoidance manipulability ellipsoid and the avoidance manipulability shape index have been suggested as an index to symbolize avoidance ability of the manipulator’s shape when the hand tracks a desired trajectory. In following proposed criteria of obstacle avoidance ability, we extend concepts for mobile manipulators to discuss the avoidance ability of intermediate links for mobile operations. We start by analytically formulating, the avoidance manipulability ellipsoid and the avoidance manipulability shape index of a mobile manipulator. We then evaluate the avoidance manipulability shape index representing shape changeability for the entire manipulator’s configuration using a mobile manipulator with a three-link arm as an example.
Adaptive Action Selection of Body Expansion Behavior in Multi-Robot System Using Communication
Authors: Fujiki Tomohisa ,   RACE, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan, Kawabata Kuniaki , Asama Hajime ,   Distributed Adaptive Robotics Research Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
Published: April 2016

In a multi-robot system, cooperation within robots is essential in order to execute tasks efficiently. The purpose of this study is to investigate how robots cooperate with each other using interactive communication. A fundamental role of communication in a multi-robot system is to control other robots by an intension transmission. We believe that a multi-robot system can be more adaptive by treating communication as an action. In this paper, we implemented the action adjustment function to achieve cooperation between two mobile robots. Also we discuss the results of computer simulations of collision avoidance as an example of cooperative task.