Modeling of High Temperature Gas Flow 3D Distribution in BF Throat Based on the Computational Fluid Dynamics

Jian Qi An, Kai Peng, Wei Hua Cao, and Min Wu

Abstract: This paper aims at building a Computational Fluid Dynamics (CFD) model which can describe the gas flow three dimensions (3D) distribution in blast furnace (BF) throat. Firstly, the boundary conditions are obtained by rebuilding central gas flow shape in BF based on computer graphics. Secondly, the CFD model is built based on turbulent model by analyzing ...<more>

Ground Target Tracking and Collision Avoidance for UAV Based Guidance Vector Field

Zhihong Peng and Zhimin Chen

Abstract: This paper focuses on ground-moving target tracking of an unmanned aerial vehicle (UAV) in the presence of static obstacles and moving threat sources. Due to a UAV is restricted by airspace restrictions and measurement limitations during flight, we derive a dynamic path planning strategy by generating guidance vector filed combined Lyapunov vector field with...<more>

The Usage and Behavior Patterns of Mobile BitTorrent Clients

Péter Ekler and Kristóf Csorba

Abstract: With the many changes in mobile phone use, it is now common for users to connect to the Internet and share social and multimedia data, and peer-to-peer technology remains one of the most efficient solutions to content sharing. We analysed the lifecycle of content shared using the BitTorrent network, focusing on torrents retrieved by mobile phone clients usin...<more>

Design of Compensator for Input Dead Zone of Actuator Nonlinearities

Weijie Chen, Jundong Wu, and Jinhua She

Abstract: This paper considers the problem of tracking a periodic signal for a plant with an input dead zone in the actuator. The nonlinearity greatly degrades control performance. To solve this problem, we incorporate an equivalent-input-disturbance (EID) compensator into a repetitive control system (RCS), resulting in a new system configuration. We combine the linea...<more>

Step Output Tracking Controller Design for Networked Control Systems

Zhong-Hua Pang, Guo-Ping Liu, and Donghua Zhou

Abstract: This paper is concerned with the step output tracking controller design problem for networked discretetime linear systems. The communication constraints such as network-induced delay, packet disorder, and packet dropout are considered, which are treated as the round-trip time (RTT) delay with an upper bound. An event-driven networked predictive control schem...<more>

Modeling and Simulation of Road Traffic Behavior: Artificial Drivers with Personality and Emotions

George Leu, Neville J. Curtis, and Hussein Abbass

Abstract: This study uses an artificially generated, multi-agent traffic environment to bring to attention the behavioral aspects involved in the performance of road traffic networks. Artificial drivers with behavioral capabilities are used to understand how collective human behavior affects traffic performance. These drivers are also used to find optimal behaviors in...<more>

Spherical Visualization of Image Data with Clustering

Yuichi Yaguchi and Ryuichi Oka

Abstract: This paper proposes to aid the search for images by visualization of the image data on a spherical surface. Many photographs were lost in the Tohoku tsunami, and those that were eventually found are now being scanned. However, the owners of the lost photographs are finding it difficult to search for their images within a large set of scanned images that cont...<more>

Spatial Memory for Augmented Personal Working Environments

Young Eun Song, Peter Kovacs, Mihoko Niitsuma, and Hideki Hashimoto

Abstract: Augmented Personal Working Environments (APWEs) are 3D environments in which the physical surroundings of the user are overlaid with representations of a virtual reality. With the rapid technological evolution of personal informatics devices as well as a growing demand for more comfortable and efficient working environments, the partial virtualization of res...<more>

Auto-Selection of DPC Codes from Discharge Summaries by Text Mining in Several Hospitals and Analysis of Differences in Discharge Summaries

Shunsuke Doi, Takahiro Suzuki, Gen Shimada, Mitsuhiro Takasaki, Shinsuke Fujita, Toshiyo Tamura, and Katsuhiko Takabayashi

Abstract: Recently, Electronic Medical Record (EMR) systems have become popular in Japan, and numerous discharge summaries are being stored electronically, although they have not yet been reutilized. We performed text mining by using the term frequencyinverse document frequency method along with a morphological analysis of the discharge summaries from 3 hospitals (the...<more>

Document Analysis System Based on Awareness Learning

Jie Ji, Rung-Ching Chen, and Qiangfu Zhao

Abstract: The rapid growth of the Internet has naturally encouraged users to handle and process documents as online information rather than hard-copies, e.g., on paper. Dealing with large amounts of information efficiently requires classifying data into meaningful categories. Many machine-learning-based algorithms have been proposed for document classification, yieldi...<more>

Learning Strategy in Time-to-Contact Estimation of Falling Objects

Hiroyuki Kambara, Keiichi Ohishi, and Yasuharu Koike

Abstract: The ability to estimate the time that remains before contact (Time-To-Contact or TTC) of a falling object is critical in daily life. In this paper, we investigated how the Central Nervous System (CNS) becomes able to estimate the TTC of a ball falling at various accelerations. According to experiments on the human ability to catch a ball falling at various a...<more>

Kicking Motion Imitation of Inverted-Pendulum Mobile Robot and Development of Body Mapping from Human Demonstrator

Sataya Takahashi, Yasutake Takahashi, Yoichiro Maeda, and Takayuki Nakamura

Abstract: This paper proposes a new method for learning the dynamic motion of an inverted-pendulum mobile robot from the observation of a human player’s demonstration. First, an inverted-pendulum mobile robot with upper and lower body links observes the human demonstration with a camera and extracts the human region in images. Second, the robot maps the region t...<more>

Multi-Objective Scheduling for Space Science Missions

Mark D. Johnston and Mark E. Giuliano

Abstract: We have developed an architecture called MUSE (Multi-User Scheduling Environment) to enable the integration of multi-objective evolutionary algorithms with existing domain planning and scheduling tools. Our approach is intended to make it possible to reuse existing software, while obtaining the advantages of multi-objective optimization algorithms. This appr...<more>

Feature Extraction with Space Folding Model and its Application to Machine Learning

Minh Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi, and Kanta Tachibana

Abstract: Feature extraction provides an essential element in most machine learning methods, including supervised learning with neural networks. Linearly inseparable data distributions are often non-linearly transformed in some way to make them more linearly separable in the feature space. In this paper, we propose a method of feature extraction with a space folding m...<more>

Dual-Hierarchical Control Mechanism of Interpersonal Embodied Interactions in Cooperative Walking

Takeshi Muto and Yoshihiro Miyake

Abstract: Interpersonal embodied interactions play a significant role as emergent functions in human development and rehabilitation. However, a framework for applying embodied interactions to “human interface systems” to support such emergent functions has not yet been suggested because the details of the motorcontrol mechanism have not yet been clarified....<more>

Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation

Kiyohiko Uehara, Shun Sato, and Kaoru Hirota

Abstract: An inference method is proposed for sparse fuzzy rules on the basis of interpolations at a number of points determined by α-cuts of given facts. The proposed method can perform nonlinear mapping even with sparse rule bases when each given fact activates a number of fuzzy rules which represent nonlinear relations. The operations for the nonlinear mappin...<more>

Semantically Enhanced Code Clone Refinement Algorithm Based on Analysis of Multiple Detection Reports

Ricardo Sotolongo, Fangyan Dong, and Kaoru Hirota

Abstract: An algorithm based on semantic analysis of multiple detection tools’ reports using WordNet is proposed oriented on the refinement of code clones. It parses different detection tools’ reports looking for new clone specifications, and refines the location of existing ones using semantic information contained in source code. It is applied to a real ...<more>

Risk Analysis of Portfolios Under Uncertainty: Minimizing Average Rates of Falling

Yuji Yoshida

Abstract: A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing the perception-based extension of the average value-at-risk, this paper formulates a portfolio problem to minimize the risk of falling with fuzzy random variables. In the proposed model, rand...<more>

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data

Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto

Abstract: We propose two approaches for semi-supervised FCM with soft pairwise constraints. One applies NERFCM to the revised dissimilarity matrix by pairwise constraints. The other applies K-FCM with a dissimilarity-based kernel function, revising the dissimilarity matrix based on whether data in the same cluster may be close to each other or the data in the d...<more>

Robot Group Adaptation Gestures Based on Utterance Content and Social Position

Daisuke Katagami, Ken Ogawa, and Katsumi Nitta

Abstract: We suggest adaptive gestures for robots adapting to groups based on utterance situations and social position and study the differences in type and number of teaching gestures based on the difference in groups in equivalence utterance. Gesture data is collected in which group members are directly taught to a robot through utterance situations and social posit...<more>

Applying Naive Bayes Classifier to Document Clustering

Jie Ji and Qiangfu Zhao

Abstract: Document clustering partitions sets of unlabeled documents so that documents in clusters share common concepts. A Naive Bayes Classifier (BC) is a simple probabilistic classifier based on applying Bayes’ theorem with strong (naive) independence assumptions. BC requires a small amount of training data to estimate parameters required for classification. ...<more>

Integrating Process and Work Breakdown Structure with Design Structure Matrix

Jonathan Lee, Whan-Yo Deng, Wen-Tin Lee, Shin-Jie Lee, Kuo-Hsun Hsu, and Shang-Pin Ma

Abstract: In software development, project plans document scope, cost, effort, and schedule, guide project managers, and control project execution. Developing a project plan without incorporating how an organization doing things - i.e., organizational culture - may lead to project failure. To ensure stable process performance and to benefit from organizational culture...<more>

Learning Similarity Matrix from Constraints of Relational Neighbors

Masayuki Okabe and Seiji Yamada

Abstract: This paper describes a method of learning similarity matrix from pairwise constraints assumed used under the situation such as interactive clustering, where we can expect little user feedback. With the small number of pairwise constraints used, our method attempts to use additional constraints induced by the affinity relationship between constrained data and...<more>

Fuzzy Visual Hull Algorithm for Three-Dimensional Shape Reconstruction of TKA Implants from X-Ray Cone-Beam Images

Syoji Kobashi, Nao Shibanuma, and Yutaka Hata

Abstract: Three-Dimensional (3-D) shape reconstruction of total knee arthroplasty (TKA) implants in vivo plays a key role to investigate implanted knee kinematics. TKA implants typically consist of metal femoral and tibial components and a polyethylene tibial insert. X-ray computed tomography (CT) causes severe metal artifacts, making the 3-D shape in reconstru...<more>

About Profit Sharing Considering Infatuate Actions

Wataru Uemura

Abstract: In reinforcement learning systems based on trial-and error, the agent, that is the subject or the system that perceives its environment and takes actions which maximize its chances of success, is rewarded when it attains the target level of learning of the learning exercise. In Profit Sharing, the reinforcement learning process is pursued for the accumu...<more>

Information Theoretic Approach for Measuring Interaction in Multiagent Domain

Sachiyo Arai and Yoshihisa Ishigaki

Abstract: Although a large number of reinforcement learning algorithms have been proposed for the generation of cooperative behaviors, the question of how to evaluate mutual benefit or loss among them is still open. As far as we know, an emerged behavior is regarded as a cooperative behavior when embedded agents have finally achieved their global goal, regardless...<more>

An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the RelationBetween Psychological Scale and Immunological Biomarker

Shusaku Nomura and Yasuo Kudo

Abstract: This study aims at an application of rough set theory to illustrate the relationship between human psychological and physiological states. Recent behavioral medicine studies have revealed that various human secretory substances change according to mental states. These substances, the hormones and immune substances, show temporal increase against mental ...<more>

Multiobjective Random Fuzzy Linear Programming Problems Based on the Possibility Maximization Model

Takashi Hasuike, Hideki Katagiri, and Hiroaki Ishii

Abstract: Two multiobjective random fuzzy programming problems considered based on the possibility maximization model using possibilistic and stochastic programming are not initially well defined due to the random variables and fuzzy numbers included. To solve them analytically, probability criteria are set for objective functions and chance constraints are intro...<more>

Operation Planning of District Heating and Cooling Plants Considering Contract Violation Penalties

Kosuke Kato, Masatoshi Sakawa, Keiichi Ishimaru, and Satoshi Ushiro

Abstract: Urban district heating and cooling (DHC) systems operate large freezers, heat exchangers, and boilers to stably and economically supply hot and cold water, steam, etc., based on customer demand. We formulate an operation-planning problem as a nonlinear integer programming problem for an actual DHC plant. To reflect actual decision making appropriately, ...<more>

A Normative Approach to Fuzzy Logic Reasoning Using Residual Implications

Yahachiro Tsukamoto

Abstract: Logical problems with fuzzy implications have been investigated minutely (Baczynski and Jayaram [1]). Considering some of the normative criteria to be met by generalized modus ponens, we have formulated a method of fuzzy reasoning based on residual implication. Among these criteria, the specificity possessed by the conclusion deduced by generaliz...<more>