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Vasteras, Sweden

Mälardalen University , or MDH, is a university college located in Västerås and Eskilstuna, Sweden. It has 13,000 students and around 900 employees, of which 67 are professors. Mälardalen University is the world's first environmentally certified school according to the international standard ISO 14001. Wikipedia.

Dodig-Crnkovic G.,Malardalen University
Minds and Machines

The increased interactivity and connectivity of computational devices along with the spreading of computational tools and computational thinking across the fields, has changed our understanding of the nature of computing. In the course of this development computing models have been extended from the initial abstract symbol manipulating mechanisms of stand-alone, discrete sequential machines, to the models of natural computing in the physical world, generally concurrent asynchronous processes capable of modelling living systems, their informational structures and dynamics on both symbolic and sub-symbolic information processing levels. Present account of models of computation highlights several topics of importance for the development of new understanding of computing and its role: natural computation and the relationship between the model and physical implementation, interactivity as fundamental for computational modelling of concurrent information processing systems such as living organisms and their networks, and the new developments in logic needed to support this generalized framework. Computing understood as information processing is closely related to natural sciences; it helps us recognize connections between sciences, and provides a unified approach for modeling and simulating of both living and non-living systems. © Springer Science+Business Media B.V. 2011. Source

Xiong N.,Malardalen University
Expert Systems with Applications

Fundamental to case-based reasoning is the assumption that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations and remains an issue. This paper proposes a novel similarity model consisting of fuzzy rules to represent the semantics and evaluation criteria for similarity. We believe that fuzzy if-then rules present a more powerful and flexible means to capture domain knowledge for utility oriented similarity modeling than traditional similarity measures based on feature weighting. Fuzzy rule-based reasoning is utilized as a case matching mechanism to determine whether and to which extent a known case in the case library is similar to a given problem in query. Further, we explain that such fuzzy rules for similarity assessment can be learned from the case library using genetic algorithms. The key to this is pair-wise comparisons of cases with known solutions in the case library such that sufficient training samples can be derived for genetic-based fuzzy rule learning. The evaluations conducted have shown the superiority of the proposed method in similarity modeling over traditional schemes as well as the feasibility of learning fuzzy similarity rules from a rather small case base while still yielding competent system performance. © 2011 Elsevier Ltd. All rights reserved. Source

Study Design. The study design was descriptive.Objective. The aim of this chapter was to illustrate and discuss educational and learning perspectives in the rehabilitation of patients with acute whiplash-associated disorders (WAD).Summary of Background Data. WAD is a major problem for the individual and the society. Several treatment options have been studied without giving convincing results for lessening the transition to chronicity. Current management of acute WAD include among other things advice of exercise and educational activities.Methods. A literature search on the PubMed database was conducted with additional topic discussions with the research colleagues at a symposium. These resulted the present state-of-theart review.Results. There are several possible cognitive factors and behavioral learning processes such as self-efficacy, fear of movement and (re)injury, and catastrophizing that are important to focus on in decreasing acute WAD to becoming a chronic condition. Learning based on behavioral medicine approach in physiotherapy framework has gained evidence in other musculoskeletal pain conditions.Conclusion. Exercise, education, and learning with a behavioral medicine approach should be focused on in the future studies of acute WAD management. © 2011, Lippincott Williams & Wilkins. Source

During the last decade, there has been an intensive debate on-going in Sweden about how power generation and use affect global warming. More precisely, the discussion has considered how electricity shall be assessed from an environmental and climate perspective in different situations. This article gives a critical analysis on the main viewpoints. A number of environmental-impact assessment principles are outlined and critically examined. Concepts like average electricity and marginal electricity are discussed, and Electricity Disclosure as a basis for evaluation is addressed. The impact from Emission Trading and Tradable Green Certificates is also considered. Recommendations to concerned stakeholders are given. The clash points in the Swedish debate are highlighted and thus made available to a broader audience outside Scandinavia. © 2009 Elsevier Ltd. All rights reserved. Source

Xiong N.,Malardalen University
Applied Soft Computing Journal

The concept of similarity plays a fundamental role in case-based reasoning. However, the meaning of "similarity" can vary in situations and is largely domain dependent. This paper proposes a novel similarity model consisting of linguistic fuzzy rules as the knowledge container. We believe that fuzzy rules representation offers a more flexible means to express the knowledge and criteria for similarity assessment than traditional similarity metrics. The learning of fuzzy similarity rules is performed by exploiting the case base, which is utilized as a valuable resource with hidden knowledge for similarity learning. A sample of similarity is created from a pair of known cases in which the vicinity of case solutions reveals the similarity of case problems. We do pair-wise comparisons of cases in the case base to derive adequate training examples for learning fuzzy similarity rules. The empirical studies have demonstrated that the proposed approach is capable of discovering fuzzy similarity knowledge from a rather low number of cases, giving rise to the competence of CBR systems to work on a small case library. © 2012 Elsevier B.V. All rights reserved. Source

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