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International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
The following topics are dealt with: image processing techniques; knowledge discovery and decision making; Web technologies and Web services; intelligent agents and ontologies; encryption and security e-commerce applications; knowledge management and information management; robotics control; hybrid systems; personal assistant agents; fuzzy systems; industrial automation; data mining; information retrieval;...
This paper discusses the issue of applying the theory of intuitionistic fuzzy sets in the field of image processing. In order to carry out this task, we have to find intuitive ways to interpret and describe the inherent ambiguity and vagueness carried by the image itself in terms of the elements of intuitionistic fuzzy sets theory. We consider the problem of constructing the intuitionistic fuzzy set...
In this paper, a method based on wavelet and multi-band wavelet lifting scheme is proposed for high-resolution image reconstruction. By expressing the true image as a square integrable function, point spread function (PSF) can be used to construct biorthogonal wavelet filters directly, thus an iterative algorithm for high-resolution image reconstruction can be derived based on the filters. The filters...
Based on the kernel principal component regression (KPCR) recently proposed in the literature, a new kernel auto-associator (KAA) model is proposed for classification and novelty detection. For face recognition problem, KAA model can efficiently characterize each subject thus offering a good recognition performance. Steming from the Principal component regression (PCR). a simple technique using principal...
At present there are many methods that could deal well with frontal view face recognition when there is sufficient number of representative training samples. However, few of them can work well when only one training image per class is available. In this paper, we present a method of face recognition based on projection map and singular value decomposition (SVD) to solve the one training sample problem,...
We present a learning algorithm for factored classification, employing a topic-based mixture model. In factored classification, the class label is factored into a vector of class features. For example, the class label for a personal Web page at a university might be described by two features: the academic discipline of the person, and their position (e.g., `chemistry professor' or `physics student')...
This paper explores the problem of selecting relevant features for clustering, assuming that the number of clusters is not known a priori. The number of clusters and the subset of relevant features are usually inter-related. From this standpoint, we propose an exploratory data analysis method that considers the relationships between these two aspects. Empirical results in a number of synthetic and...
The coordination mechanism is an important aspect of the behaviour based approach. Many strategies are developed to select an action among the proposals of each behaviour. Distributed preference voting present many advantages compared to the other strategies. However, several disadvantages persist. Thus we propose an improvement of this method. The modifications aim particularly at reducing the development...
Interoperability between different metadata schemas and data is an important issue for various semantic Web-related applications. The definitions and MPEG-7 data for multimedia content instances can't be used with other metadata standards in a semantically interoperable way. As part of an attempt to build a retrieval system that uses various metadata standards such as MPEG-7 and Dublin Core in a semantic...
Upgrade of industrial decision support systems (DSS) through embedment of automation agents is proposed. The proposed automation agents are based on the following design approaches: safe switching logic controllers, simulated annealing controllers, iterative feedback tuning controllers, finite automata based controllers. Moreover, an operator agent is proposed, that takes over several jobs of the...
This paper proposes a strategic management methodology using influence diagrams to represent and model decision problems. While decision trees have been extensively used for this purpose and are still highly useful, fuzzy influence diagrams, a new representation for decision problems, outperform them in many respects. This paper describes influence diagrams, proposes their extension via fuzzy logic...
This paper addresses an analysis framework of enterprise documents for business strategy design. Business strategy becomes significant to manage enterprise activities under current competitive environment. In the strategy design, several business frameworks such as 3C analysis and balanced scorecard are useful to identify what are distinctive business factors of competitors and construct a strategy...
Agent-based decision support system for modelling and control of continuous, discrete event and distributed systems is described. Ontology-based database of the system contains methods and tools for modelling and control synthesis as well as complete models of some systems specified by attributes. The system provides three possibilities of reasoning: search according to specifications and requirements,...
The dynamic business environment of many organizations require to monitor their business, IT and organizational processes in real-time in order to proactively respond to exceptions and to take advantage of time-sensitive business opportunities. The ability to sense and interpret events about a changing business environment or customer needs require an event-driven IT infrastructure for making fast...
In order to obtain a closed-loop strategies in Nash differential game with infinite horizon, one needs to solve a system of coupled algebraic Riccati equations. Under standard conditions it is not yet known if solutions for such equations exist. One way to achieve that goal is to consider discrete dynamical systems, whose fixed points (if they exist) are solutions of the problem under study. These...
A method for reliability prediction, called SYRP (synergetic reliability prediction), is presented, based on a combined fuzzy-logic & physics-of-failure approach. SYRP is used for a semiconductor device (thermal sensors) and the estimations, compared with experimental results, prove to be accurate enough. Also, the problems to be solved for using this method for MEMS are presented. The specific...
In this paper we present a simple yet accurate model to forecast electricity load with artificial neural networks (ANNs). We analyze the problem domain and choose the most adequate set of attributes in our model. To obtain the best performance in prediction, we follow an experimental approach analyzing the entire ANN design space and applying different training strategies. We found that when little...
Evolving strategies is one of the fields where GA has gained much acceptance. Fitness of a candidate chromosome is calculated relative to other candidates by allowing it to compete against a certain fitness test-bed selected from an infinitely large search space. Two questions arise: How to select the test-bed and how can we tell that an optimum candidate relative to a certain test-bed is "the...
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