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1.
Intelligent FEA-based design improvement
Marina Novak, Bojan Dolšak, 2008, izvirni znanstveni članek

Opis: Structural analysis using the finite element method is an integrate part of the design process for many components. Finite element analysis is the most extensively used numerical analysis in mechanical engineering practice and is incorporated into many computer-aided design systems. The existing commercial software is very helpful when supporting realisation of the analysis process but still fails to provide adequate support during the post-processing phase. The results of analysis should be studied and decisions made regarding the designćs suitability with respect to its engineering specifications. In general, design changes are indispensable and designers need help to design them properly. The prototype of an intelligent rule-based consultative system is being developed by the authors to provide such advice when considering a description of the design structurećs critical area. This system is encoded in Prolog. It can deal with the results of prior strain-stress or thermal analysis. It presents a short list of proposed design changes that should be taken into account when improving the design.
Ključne besede: structural analysis, finite elment analysis, design modification, decision support, Prolog, knowledge-base systems
Objavljeno: 31.05.2012; Ogledov: 790; Prenosov: 2
URL Polno besedilo (0,00 KB)

2.
An intelligent system for structural analysis-based design improvements
Marina Novak, Bojan Dolšak, 2008, izvirni znanstveni članek

Opis: The goal of the research work presented in this paper was to collect, organize, and write the knowledge and experience about structural analysis-based design improvements into a knowledge base for a consultative advisory intelligent decision support system. The prototype of the system presented proposes possible design changes that should be taken into consideration to improve the design candidate according to the results of a prior stress-strain or thermal analysis. The system can be applied either in the design of new products or as an educational tool.
Ključne besede: computer-aided design, structural optimisation, knowledge based systems, decision support
Objavljeno: 31.05.2012; Ogledov: 870; Prenosov: 1
URL Polno besedilo (0,00 KB)

3.
Temporal knowledge generation for medical procedures
Aida Kamišalić, David Riaňo, Tatjana Welzer Družovec, 2011, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Ključne besede: decision support systems, DSSs, clinical practice guidelines, CPGs
Objavljeno: 01.06.2012; Ogledov: 640; Prenosov: 6
URL Polno besedilo (0,00 KB)

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Contrasting temporal trend discovery for large healthcare databases
Goran Hrovat, Gregor Štiglic, Peter Kokol, Milan Ojsteršek, izvirni znanstveni članek

Opis: With the increased acceptance of electronic health records, we can observe theincreasing interest in the application of data mining approaches within this field. This study introduces a novel approach for exploring and comparingtemporal trends within different in-patient subgroups, which is basedon associated rule mining using Apriori algorithm and linear model-based recursive partitioning. The Nationwide Inpatient Sample (NIS), Healthcare Costand Utilization Project (HCUP), Agency for Healthcare Research and Qualitywas used to evaluate the proposed approach. This study presents a novelapproach where visual analytics on big data is used for trend discovery in form of a regression tree with scatter plots in the leaves of the tree. Thetrend lines are used for directly comparing linear trends within a specified time frame. Our results demonstrate the existence of opposite trendsin relation to age and sex based subgroups that would be impossible to discover using traditional trend-tracking techniques. Such an approach can be employed regarding decision support applications for policy makers when organizing campaigns or by hospital management for observing trends that cannot be directly discovered using traditional analytical techniques.
Ključne besede: data mining, decision support, trend discovery
Objavljeno: 27.11.2014; Ogledov: 476; Prenosov: 15
.pdf Polno besedilo (1013,97 KB)

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Computer aided decision support in product design engineering
Marina Novak, 2012, izvirni znanstveni članek

Opis: Product design engineering is a complex discipline, which is undergoing a transformation from informal and largely experience-based domain to scientific oriented domain. Computational intelligence can contribute greatly to product design process, as it is becoming more and more evident that adding intelligence to existing computer aids, such as computer aided design systems, can lead to significant improvements in terms of effectiveness and reliability of various tasks within product design engineering. Providing computer aided decision support is one of the computational intelligence methods that proved to be effective in enabling more intelligent and less experience-dependent design performance. In this paper, some of the most crucial areas of product design engineering process that require additional computational intelligence in terms of computer aided decision support are presented together with some examples of intelligent knowledge-based modules applied to this areas.
Ključne besede: product development, design engineering, design for X, computational intelligence, decision support, knowledge-based modules
Objavljeno: 10.07.2015; Ogledov: 375; Prenosov: 1
.pdf Polno besedilo (1,73 MB)

9.
Comparative analysis of collaborative and simulation based learning in the management environment
Mirjana Kljajić Borštnar, 2012, izvirni znanstveni članek

Opis: Purpose of the study is to compare two different approaches to the collaborative problem solving one in a highly controlled laboratory experiment: Optimisation of business politics using business simulator at different experimental condition which reflect different feedback information structure and one in a collaborative environment of the social media, characterised by non-structured, rule-free and even chaotic feedback information. Comparative analyses of participant’s opinion who participate in experiments have been considered in order to find common characteristics relevant for group/collaborative problem solving. Based on these findings a general explanatory causal loop model of collaborative learning during problem solving was built.
Ključne besede: group decision support, information structure, collaborative learning, simulation model
Objavljeno: 10.07.2015; Ogledov: 314; Prenosov: 3
.pdf Polno besedilo (325,88 KB)

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