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1.
Intelligent decision support system for ergonomic product design
Jasmin Kaljun, Milenko Obad, Bojan Dolšak, 2011, pregledni znanstveni članek

Opis: In general, computer tools for ergonomic CAD do not assist designer with higher level advice when performing ergonomic design. Designer has to possess expert knowledge and experience in many fields of engineering design including ergonomics in order to deliver successful designs. Such multi-levelexperts are rare and usually occupied. Two alternative ways are used to substitute these experts: teams of experts covering different areas of knowledge are established or some intelligent computer programs with expert knowledge are applied. In the second case, expert knowledge has to be collected, organized and encoded into the knowledge base of the system. An intelligent decision support system has been developed in order to overcome this bottleneck. This paper presents a knowledge base, containing ergonomic design knowledge specific for hand tools design. A pneumatic hammer handle design is used as a case study to show how ergonomic design knowledge built in the system is used to improve the ergonomic value of the product.
Ključne besede: ergonomics, hand tools, knowledge acquisition, product development
Objavljeno: 01.06.2012; Ogledov: 1128; Prenosov: 21
URL Povezava na celotno besedilo

2.
ACQUIRING TEMPORAL KNOWLEDGE FOR MAKING DECISIONS IN MEDICAL PROCESSES
Aida Kamišalić Latifić, 2014, doktorska disertacija

Opis: A medical process is a set of medical actions performed by healthcare professionals while making observations about signs and symptoms, ordering interventions, prescriptions, tests, and any other actions in order to solve a health problem that is affecting a particular patient. The objective is to offer a curative, chronic, palliative and/or symptomatic treatments. The capability of a physician to propose an appropriate treatment depends on his/her knowledge of similar clinical cases and by following advances in the treatment of particular diseases. Time is an important concept of the real world that has to be considered in regard to medical processes. Clinical Practice Guidelines (CPGs) are a narrative set of recommendations for treating patients suffering from a particular disease. By constantly referring to CPGs physicians can stay up to date with the best evidence-based medical care and with the recommendations of experts. The time dimension is, however, often omitted or only partially covered in CPGs. Some CPGs do contain certain recommendations considering time but often there are huge gaps that are supposed to be overcome by physicians’ own knowledge and experience. At the same time, healthcare centres hold healthcare records and information systems that register medical processes and patients data, including information about the times of any encounters, prescriptions, and other medical actions. Therefore healthcare records and information systems data can be a source for detecting temporal medical knowledge and sound evidence regarding healthcare. This thesis is centred on temporal knowledge acquisition and representation for the purposes of decision-making during medical processes. CPGs were analysed to obtain procedural knowledge models and Extended Timed Transition Diagrams defined for representations of the obtained knowledge. The data about the treatments of patients were analysed in order to detect temporal medical knowledge models that represented those medical procedures that were carried out while the data was being generated. These models thus provided an explicit representation of the time dimensions of past medical procedures. They could be used for complementing the knowledge provided by CPGs, for studying adherences to the CPGs and for representing a basic framework for medical procedural decision support systems development.
Ključne besede: knowledge acquisition, knowledge representation, temporal knowledge, decision-making, medical processes, procedural knowledge modelling
Objavljeno: 25.02.2014; Ogledov: 1023; Prenosov: 72
.pdf Celotno besedilo (2,91 MB)

3.
Ergonomic design recommendations based on an actual chainsaw design
Jasmin Kaljun, Bojan Dolšak, 2012, izvirni znanstveni članek

Opis: To develop high quality products, a designer has to consider various influential factors, one of which is ergonomics. And to fashion a specific product for the user, a designer needs expert knowledge of the user's requirements. However, expert knowledge can also be accessed through an intelligent advisory system for ergonomic design support. The effectiveness of such an expert system depends mainly on the quality of the knowledge base and on the appropriateness of the system's inference engine. Data for the systemćs knowledge base can be collected in different ways. One approach is to study relevant projects to collect appropriate ergonomic solutions; another is to recognise bottlenecks in ergonomic design. This paper presents a case study of the design of an actual chainsaw - with emphasison ergonomic design solutions - that can be transformed into ergonomic design recommendations. At the end of the paper, an application of one of the derived recommendations within the knowledge base of the intelligent advisory system is presented.
Ključne besede: ergonomics, intelligent support, knowledge acquisition
Objavljeno: 10.07.2015; Ogledov: 552; Prenosov: 175
.pdf Celotno besedilo (1,32 MB)
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4.
Improving products' ergonomic value using intelligent decision support system
Jasmin Kaljun, Bojan Dolšak, 2012, izvirni znanstveni članek

Opis: During the process of defining suitable design solutions, a designer has to consider a wide range of influential factors. Ergonomics certainly belongs to more complex ones. Less experienced designers could encounter several problems during this design stage. Although some literature can be found about ergonomic design of hand tools, a designer still has to have amassed quite a lot of experience and knowledge in the field of ergonomic, in order to choose and carry out appropriate design and redesign actions. Existing computer tools for ergonomic design are not able to assist a designer with higher level advice within design process. An intelligent decision support system has been developed in order to overcome this bottleneck. This paper presents a knowledge base, containing ergonomic design knowledge specific for hand tools design. A pneumatic hammer handle design is used as a case study to show how ergonomic design knowledge built in the system is used to improve the ergonomic value of the product.
Ključne besede: ergonomija, inteligentna podpora, ročna orodja, zajemanje znanja, razvoj ročke, pnevmatsko kladivo, ergonomics, intelligent support, hand tools, knowledge acquisition, handle design, pneumatic hammer
Objavljeno: 10.07.2015; Ogledov: 686; Prenosov: 51
URL Povezava na celotno besedilo

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