International Symposium on Soft Computing and Intelligent Systems (SCIS)
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
20-24 Nov. 2012
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Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Soft Comp & Intel Sys (SCIS) & 13th Intl Symp Adv Intel Sys (ISIS), 2012 (PRT)
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A 3D sensing technique using fuzzy modeling based on stereo vision
Publication Year: 2012,Page(s):2138 - 2142
Cited by: Papers (5)
Recently, the 3D sensing technique using plural cameras has been applied to various areas such as visualization, motion capturing, and so on. However, improvement of the camera model calibration is indispensible for more precise measurement. In this study, we propose a fuzzy modeling approach for 3D sensing utilizing the configuration of the stereo vision. A distance between a sensing target and t...Show More
Interactive decision making for fuzzy random multiobjective linear programming problems with variance-covariance matrices through probability maximization
Publication Year: 2012,Page(s):965 - 970
Cited by: Papers (3)
In this paper, we focus on fuzzy random multiobjective linear programming problems with variance-covariance matrices through probability maximization, and propose an interactive decision making method to obtain a satisfactory solution. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only permissible objective levels but also the corresponding distribution func...Show More
Cascade of coordinated behaviors in interdependent security games
Publication Year: 2012,Page(s):657 - 662
How do we get collective rationality, if each person obeys individual rationality to maximize personal utility? This question has been studied extensively using theory of games. Here we consider scenarios where the individuals' behavior is the result of a strategic choice among competing alternatives. In particular, we study interdependent security game that is based on the dynamics of coordinatio...Show More
Using Linked Data for intelligent information retrieval
Publication Year: 2012,Page(s):2172 - 2177
Cited by: Papers (1)
The software project of a large-scale information system usually contains a large number and different types of project documents. The key factor for the success of software project is how to efficiently manage project documents. Traditional software project management only focuses on XML-based metadata rather than semantic interlinking to facilitate document retrieval and publication. The main pr...Show More
Information compression effect based on PCA for reinforcement learning agents' communication
Akira Notsu;Katsuhiro Honda;Hidetomo Ichihashi;Ayaka Ido;Yuki Komori
Publication Year: 2012,Page(s):1318 - 1321
Cited by: Papers (2)
In general, the amount of required memory and reduction of learning time with explosion of the number of states become problems in reinforcement learning. In this study, as a method of cutting information of the learning table, principal component analysis was used as an information compression method, which is well known. The principal component analysis was applied to the learning table directly...Show More
The classification of the chain-link and other data by spherical SOM
Heizo Tokutaka;Masaaki Ohkita;Matashige Oyabu;Kikuo Fujimura
Publication Year: 2012,Page(s):458 - 461
A new classification method which can visualize a multidimensional data set was proposed. There, phase distances on the spherical surface among the label data was computed. Using these distances, a dendrogram can be constructed. Here, using the constructed dendrogram, the colored classification of the cluster group on the spherical surface based on the label data was carried out. This method can b...Show More
Network-based subsumption architecture for multiple mobile robots system
Publication Year: 2012,Page(s):187 - 192
Cited by: Papers (1)
In this paper, a unique multiple mobile robots system is proposed to enable students or mechanical engineers to efficiently learn a subsumption architecture for swarm intelligence. The subsumption architecture is known as one of the behaviour-based artificial intelligences. Each of multiple mobile robots has three wheels driven by DC motors and six PSD (Position Sensitive Detector) sensors. A netw...Show More
There are growing interests for studying collective behavior including the dynamics of markets, the emergence of social norms and conventions, and collective phenomena in daily life such as traffic congestion. In this paper, we deal with collective behavior in population with several social networks. We showed that collective behavior in cooperative relationships is affected in the structure of th...Show More
Research of technology for recognizing photography management items from image data of construction fields
Etsuji Kitagawa;Shigenori Tanaka;Satoshi Abiko;Katsuma Wakabayashi;Wenyuan Jiang
Publication Year: 2012,Page(s):528 - 531
In recent years, the electronic delivery of various deliverables has been implemented in the construction field through the promotion efforts of the Ministry of Land, Infrastructure, Transport and Tourism. One of these deliverables is the image data of photograph taken at construction site. For the electronic delivery of this data, the photography management items showing the contents photographed...Show More
Behavioral analysis in the agent-based simulation of centipede games
Publication Year: 2012,Page(s):1345 - 1350
The aim of this paper is to explain behavior of the human subjects in several laboratory experiments of centipede game which are different from the equilibrium solution. A centipede game is a dynamic game which multiple players make decision in prearranged order. Subgame perfect equilibrium (SPE) is a solution concept which is based on the concept of Nash equilibrium. SPE is well known solution as...Show More
MCMC sampling on latent-variable space of mixture of probabilistic PCA
Publication Year: 2012,Page(s):1508 - 1513
Cluster analysis is widely used in computational intelligent systems and pattern recognition fields. One of its main tasks is to detect unobservable labels showing to which clusters the given observable data belong. Recently, the accuracy of clustering has been formulated and asymptotically analyzed in a distribution-based manner. The results claim that the Bayes method is more accurate than the m...Show More
Spike-timing dependent plasticity with release probability supported to eliminate weight boundaries and to balance the excitation of Hebbian neurons
Publication Year: 2012,Page(s):1052 - 1058
Spike-timing-dependent plasticity is considered as the key underline mechanism which processes the signals in brain. With the introduction of spike-timing dependent plasticity as a long-lasting synaptic modification, neural networks have been driven to era of processing information on the basis of relative timing between presynaptic and postsynaptic action potentials. One of the main drawbacks tha...Show More
Active transductive KNN for sparsely labeled text classification
Publication Year: 2012,Page(s):2178 - 2182
Cited by: Papers (1)
Sparsely labeled classification may exist in many real-world applications and it is more challenging than the problems most existing semi-supervised learning/active learning algorithms considered. In this paper, an active transductive framework is proposed for sparsely labeled text classification. It integrates the advantages of semi-supervised learning and active learning, and employs several tec...Show More
Hippocampal response to emotional stimuli to evaluate personality stability in fMRI
Yuko Mizuno-Matsumoto;Takuto Hayashi;Eika Okamoto;Daisuke Miwa;Tetsuya Asakawa;Makoto Kato;Tsutomu Murata
Publication Year: 2012,Page(s):1001 - 1004
The aim of this research is to evaluate the relationship between hippocampal responses to emotional stimuli and the mental stabilities of people using functional magnetic resonance imaging (fMRI). We assessed personality features and physical symptoms of the subjects using psychological tests and categorized the subjects into two groups: the mentally stable group and the unstable group. Moreover, ...Show More
A hybrid algorithm based on Tabu Search and Immune Algorithm for k-cardinality tree problems
Publication Year: 2012,Page(s):346 - 351
A k-cardinality tree problem (KCTP) is to find a subtree with exactly k edges in an undirected, connected, weighted graph, such that the sum of weights is minimal. KCTP has been proved to be an NP-hard combinatorial optimization problem. In this paper, a hybrid algorithm (TSIA) based on Tabu Search (TS) and Immune Algorithm (IA) is presented for solving KCTP. The immune system inspired operator en...Show More
H∞ controller with graphical LMI region profile for gantry crane system
M. Z. Mohd Tumari;M. S. Saealal;M. R. Ghazali;Y. Abdul Wahab
Publication Year: 2012,Page(s):1397 - 1402
Cited by: Papers (4)
This paper presents investigations into the development of H∞ controller with pole clustering based on LMI techniques to control the payload positioning of INTECO 3D crane system with very minimal swing. The linear model of INTECO 3D crane system is obtained using the system identification process. Using LMI approach, the regional pole placement known as LMI region combined with design objective i...Show More
The problem of distributed consensus of several clashing pieces of information has been studied for many purposes, such as for distributed estimation or mobile robot coordination problems. In this paper we apply this framework to a criticality estimation problem. Specifically, several human observers, each with a partial, incomplete and subjective view, are in charge to evaluate the severity of a ...Show More
Improvement for action strategy learning in classification task using classification probalilities
Publication Year: 2012,Page(s):352 - 358
In this paper, we address the autonomous evidence accumulation when a system classifies an object into one of predetermined categories. We propose a reinforcement learning system that effectively selects actions to speed up the classification process. The proposed system accelerates its learning using classification probabilities calculated by a classification system. We conducted three binary cla...Show More
An extraction and classification method of broken line elements in mathematical graphs for automating translation of tactile graphics
Publication Year: 2012,Page(s):216 - 221
Tactile graphics are useful for visually impaired students when they study mathematics and science. However, producing tactile graphics are not simple task. An intelligent computer-aided system for assisting the production of tactile graphics is needed. To develop such a system, research on mathematical graph recognition techniques is needed. This paper focuses on a method of mathematical graph re...Show More
Macro and micro environment for diversity of behaviour in artificial life simulation
Publication Year: 2012,Page(s):883 - 889
Cited by: Papers (1)
The complexity of artificial life is produced not only via their genotype, but also by the environment that they thrive in. Past artificial life research focuses on the evolutionary behavior of artificial organisms from an intrinsic perspective of how concepts such as crossover and mutation increase the fitness of the organism, others focus on the emergent macrostate of a simulation that arises ou...Show More
Response in cingulate cortex to emotional stimuli to evaluate personality stability in fMRI
Yuko Mizuno-Matsumoto;Takuto Hayashi;Eika Okamoto;Daisuke Miwa;Tetsuya Asakawa;Makoto Kato;Tsutomu Murata
Publication Year: 2012,Page(s):1109 - 1112
The aim of this research is to evaluate the relationship between the response in cingulate cortex to emotional stimuli and the personal stabilities of people using functional magnetic resonance imaging (fMRI). We assessed personality features and physical symptoms of the subjects using psychological tests and categorized the subjects into two groups: the mentally stable group and the unstable grou...Show More
Rough set model based on Parameterized Probabilistic similarity relation in incomplete decision tables
Publication Year: 2012,Page(s):577 - 582
Cited by: Papers (1)
This paper discusses some extension of Rough set approach in Incomplete decision tables to deal with a problem of tolerance relation. Those approaches have been widely used to discover knowledge in incomplete information system. However, they also have their own limitation. In order to get more information from the relationship among objects, we propose a model called Parameterized Probabilistic R...Show More
Dynamic control of the number of crossed genes in evolutionary many-objective optimization
Hiroyuki Sato;Carlos A. Coello Coello;Hernán E. Aguirre;Kiyoshi Tanaka
Publication Year: 2012,Page(s):1435 - 1440
When multi-objective evolutionary algorithms (MOEAs) are applied to many-objective optimization problems (MaOPs), genetic diversity of solutions in the population significantly increases to explore the true Pareto optimal solutions distributed in broad region of variable space. In MOEAs, if genetic diversity of solutions in the population become noticeably diverse, conventional crossovers become t...Show More
Applying Ant Colony Optimization in configuring stacking ensemble
Publication Year: 2012,Page(s):2111 - 2116
Cited by: Papers (2)
A stacking ensemble is a collective decision making system employing some strategy to combine the predictions of learned classifiers to generate its prediction on new instances. The early research has proved that a stacking ensemble is usually more accurate than any individual component classifiers both empirically and theoretically. Though many ensemble methods are proposed, it is still not an ea...Show More
A method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means
Publication Year: 2012,Page(s):1540 - 1544
Cited by: Papers (7)
The aim of this paper is to propose a new method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means. An agglomerative hierarchical algorithm has a larger computational complexity than non-hierarchical algorithm. It takes much time to execute agglomerative hierarchical algorithm, and sometimes, agglomerative hierarchical algorithm cannot be exec...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Soft Comp & Intel Sys (SCIS) & 13th Intl Symp Adv Intel Sys (ISIS), 2012 (PRT)
- Print on DemandPurchase at Partner
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