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Neural networks have been employed in many medical applications including breast cancer classification. Innovation in diagnostic features of tumours may play a central role in development of new treatment methods for earliest stage of breast cancer detection. Feature selection of neural network inputs is important for an accurate diagnosis application. Therefore, this study proposes elimination method...
This publication presents a new concept of the intelligent analysis and interpretation of image-type data. The concept presented is based on a cognitive-semantic model of data learning and interpreting. The application of this model makes it possible to extract significant semantic information from the set of analysed data in order to understand it. It is also possible to execute the stage of reasoning...
In the light of fast pace smart phone development, increasing numbers of applications are being developed to cater for portability. A real-time facial expression recognition application is develop that was tested in Windows Mobile environment. The underlying algorithm adopted in this work uses Boosting Naïve Bayesian (BNB) approach for recognition. We examine the structure of training data and the...
The popularity of multimedia on the Internet has created a heavy load on bandwidth. Consequently, content compression and bandwidth reduction have become significant topics recently. An appropriate codebook design is an essential and valuable principle for Vector Quantization (VQ). This investigation presents a new image compression method called INTSOM, which relies on Hierarchical Self-Organizing...
While the importance of financial education increases in recent years, the technique for deepening an understanding of finance theory is needed. In this research, we analyize learning method of the finance theory about the investment project selection and capital structure determination using the business game technique. As a result of analysis, the participant understood the investment project selection...
This work concerns the problem of modelling evolving prospective agent systems. Inasmuch a prospective agent [1] looks ahead a number of steps into the future, it is confronted with the problem of having several different possible courses of evolution, and therefore needs to be able to prefer amongst them to decide the best to follow as seen from its present state. First it needs a priori preferences...
We propose a new service composition method with the analytic hierarchy process and discuss its availability. The concept of context-aware services has been attracting attention as an approach to improving the usability of computer-mediated services. In ubiquitous computing environments, there are several means to provide services for users, and thus, to select an appropriate mean among them is a...
We show an improvement of our previous work, a formulation of the flexible widget layout (FWL) problem as a fuzzy constraint satisfaction problem (FCSP) and a method for solving it. The automation of widget layout is one of the most important challenges for the generation of graphical user interfaces (GUIs). In the field of model-based user interface design, widget layout is more complicated because...
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resolve these problems, humans reason combining causal models with probabilistic information. The theory that attempts to model both causality and probability is called probabilistic causation, better known as Causal Bayes Nets...
The major aim of library marketing system is to help the library and its patrons with providing useful information and various kinds of knowledge, which are extracted from the data that are collected by the library system. In this paper we lay heavy stress on the use of such information and knowledge for assisting decision making of the library and of its patrons. Furthermore our main concern is to...
Designing optimal motion is critical in several applications for mobile robot from payload transport between two given states in a prescribed time such that a cost functional is minimized. This paper deals with the problem of path design of wheeled non-holonomic robots with flexible joints, based on Pontryagin’s minimum principle. The simplified case study of a Four Wheeled, two-link manipulator with...
Planning of robot trajectory is a very complex task that plays a crucial role in design and application of robots in task space. This paper is concerned with path planning of flexible robot arms for a given two-end-point task in point-to-point motion, based on indirect solution of optimal control problem. We employ the finite element method to modeling and deriving the dynamic equations of robot manipulator...
Coalition stability is an important concept in coalition formation. One common assumption in many stability criteria in non-transferable utility games is that the preference of each agent is publicly known so that a coalition is said to be stable if there is no objections by any sub-group of agents according to the publicly known preferences. However, in many software agent applications, this assumption...
In order to decide on the course of action to take, one may need to check for side-effects of the possible available preferred actions. In the context of abduction in Logic Programs, abducible literals may represent actions and assumptions in the declarative rules used to represent our knowledge about the world. Besides finding out which alternative sets of actions achieve the desired goals, it may...
Knowledge mining is the process of deriving new and useful knowledge from vast volumes of data and patterns previously discovered and stored as background knowledge. We propose a knowledge-mining system as a repertoire of tools for discovering strong and useful patterns. A pattern is strong if it represents frequently occurring relationships. Usefulness is achieved through constraints guided by users...
This paper describes a neural network-based classification tool that can be deployed for data-based decision support tasks. In particular, the Fuzzy ARTMAP (FAM) network is investigated, and a new pruning technique is proposed. The pruning technique is implemented successively to eliminate those rarely activated nodes in the category layer of FAM. Three data sets with different characteristics are...
The use of the Karhunen-Loève Transform (KLT) for the processing of the image primary color components gives as a result their decorrelation, which ensures the enhancement of such operations as: compression, color-based segmentation, etc. The basic problem is the high computational complexity of the KLT. In this paper is offered a simplified algorithm for the calculation of the KL color transform...
Current research conducted at the Knowledge-Based Intelligent Information and Engineering Systems (KES) Centre aims to improve/develop the communication aspects of an agent-oriented architecture that enables agents to automatically adapt their functionality at runtime based on message flows. Rigid designtime constraints can be replaced by a flexible plug-and-play componentized capability. Intelligent...
Experiments conducted by the Knowledge-Based Intelligent Information and Engineering Systems (KES) Centre use Java to gain its many advantages, especially in a distributed and dynamically scalable environment. Interoperability within and across ubiquitous computing operations has evolved to a level where plug ‘n′ play protocols that invoke common interfaces, provide the flexibility required for effective...
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