Data Types (ADTs) has been introduced recently to Israeli high-school students as tools for problem solving and knowledge representation in Prolog environment. This paper reviews a research that was conducted in order...
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This paper describes an implementation of the Distributed Systems Annex of Ada95. The use of Java to build the Partition Communication Subsystem provides portability and Internet compatibility of distributed applicati...
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Many interesting and important problems related to the analysis of large numerical data can be formulated as a problem of approximating a function from a set of sample points. Any approximation method should provide m...
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A learning system for a more complete process of learning to read aloud English words should consist of three major steps: alignment, mapping learning, and grapheme generation. In a previous paper, we discussed a basi...
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This paper introduces transversal graphs for plans(acyclic directed graphs with labeled vertices) and shows how to reduce various super- and subsequence problems on plans to searching paths in the transversal *** the ...
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This paper introduces transversal graphs for plans(acyclic directed graphs with labeled vertices) and shows how to reduce various super- and subsequence problems on plans to searching paths in the transversal *** the concept of transversal graphs for sets of strings and the concept of maximal independent set graphs for plans, the transversal graphs for plans allow to solve a wider class of problems in plan merging,project planning,precedence constrained scheduling, manufacturing systems design and DNA sequencing.
We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classified graph is represented by a definite clause that possesses variable...
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In this paper we present a parallel algorithm that decides whether a graph G has treewidth at most two, and if so, constructs a tree decomposition or path decomposition of minimum width of G. The algorithm uses O(n) o...
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The decision tree approach is one of the most common approaches in automatic learning and decision making. The automatic learning of decision trees and their use usually show very good results in various 'theoreti...
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The decision tree approach is one of the most common approaches in automatic learning and decision making. The automatic learning of decision trees and their use usually show very good results in various 'theoretical' environments. But in real life it is often impossible to find the desired number of representative training objects for various reasons. The lack of possibilities to measure attribute values, high cost and complexity of such measurements, and unavailability of all attributes at the same time are the typical representatives. For this reason we decided to use the decision trees not for their primary task-the decision making-but for outlining the most important attributes. This was possible by using a well-known property of the decision trees-their knowledge representation, which can be easily understood by humans. In a delicate field of medical decision making, we cannot allow ourselves to make any inaccurate decisions and the 'tips,' provided by the decision trees, can be of a great assistance. Our main interest was to discover a predisposition to two forms of acidosis: the metabolic acidosis and respiratory acidosis, which can both have serious effects on child's health. We decided to construct different decision trees from a set of training objects. Instead of using a test set for evaluation of a decision tree, we asked medical experts to take a closer look at the generated trees. They examined and evaluated the decision trees branch by branch. Their comments show that trees generated from the available training set mainly have surprisingly good branches, but on the other hand, for some, no medical explanation could be found.
Neuroimaging provides a neurosurgeon with the most important information about pathology concerning a particular patient. The amount of such information is enormous and is still growing with the introduction of new eq...
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Neuroimaging provides a neurosurgeon with the most important information about pathology concerning a particular patient. The amount of such information is enormous and is still growing with the introduction of new equipment. The problem is the choice of the exact details of interest from this huge amount of information, how to make it more visible, and how to store it etc. in order to enable the physician to make better and quicker decisions about exact diagnosis and localization of the pathology for further medical interventions. In such cases computer based intelligent support can help a physician to acquire more important information from X-ray images. This is very important for drawing proper conclusions and taking appropriate action. The authors are developing a prototype of a computer based intelligent support for neuroimaging (CBISN). Some practical examples are presented.
作者：
Milanovic, JV[?]Jovica V. Milanovic (1967) received the Dipl.-Ing. (Elec.) and M.Sc. (Elec. Eng.) degrees from the University of Belgrade. Yugoslavia. in 1987 and I99 I
respectively. One year he worked with “Energoproject-MDD”- Engineering and Contracting Co. in Belgrade as an engineer in designing power plants and substations. In late 1988 hejoined the Faculty of Electrical Engineering of the University of Belgrade first as an associate teaching assistant and then (since late 199 I) as teaching assistant at the Dept. of Power Converters and Drives. Between March 1993 and January 1996 he completed his Ph.D. at the University of Newcastle. Australia. at the Dept. of Electrical and Computer Engineering. Since February 1996 he is lecturer at the Department of Electrical Engineering and Computer Science at the University of Tasmania Austnlia. His major interests include synchronous machines and power system transients control and stability. (The University of Tasmania. Dept. of Electrical Engineering and Computer Science GPO Box 252-65 Hobart Tas 7001 Australia.Te1+61 362/262-753 Fax+61 369/262 136. e-mail: Jovica.Milanovic@eecs.utas.edu.au)
The paper presents the overview of load modelling for power-system damping and stability studies with main conclusions summarized from previous research. The attempt has been made to present a cross-section of the mos...
The paper presents the overview of load modelling for power-system damping and stability studies with main conclusions summarized from previous research. The attempt has been made to present a cross-section of the most exploited existing load models together with the most important conclusions drawn from their implementation in power-system stability programs. The current trends and latest results in the domain of damping of electromechanical oscillations in power systems are also presented. The effects of load dynamics on damping of electromechanical oscillations were analyzed on the basis of one of generic load models proposed in the past. The recent results further encourage investigation in this area and highlights the importance of proper load modelling.
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