Johannes Kepler University of Linz

About: Johannes Kepler University of Linz is a education organization based out in Linz, Oberösterreich, Austria. It is known for research contribution in the topics: Computer science & Thin film. The organization has 6605 authors who have published 19243 publications receiving 385667 citations.

The neglected user in music information retrieval research

Abstract: Personalization and context-awareness are highly important topics in research on Intelligent Information Systems. In the fields of Music Information Retrieval (MIR) and Music Recommendation in particular, user-centric algorithms should ideally provide music that perfectly fits each individual listener in each imaginable situation and for each of her information or entertainment needs. Even though preliminary steps towards such systems have recently been presented at the "International Society for Music Information Retrieval Conference" (ISMIR) and at similar venues, this vision is still far away from becoming a reality. In this article, we investigate and discuss literature on the topic of user-centric music retrieval and reflect on why the breakthrough in this field has not been achieved yet. Given the different expertises of the authors, we shed light on why this topic is a particularly challenging one, taking computer science and psychology points of view. Whereas the computer science aspect centers on the problems of user modeling, machine learning, and evaluation, the psychological discussion is mainly concerned with proper experimental design and interpretation of the results of an experiment. We further present our ideas on aspects crucial to consider when elaborating user-aware music retrieval systems.

Charged cellular polymers with "ferroelectretic" behavior

Abstract: Cellular space-charge electrets have recently emerged as a new class of materials for electromechanical devices, offering chances for a wide range of applications and challenges for materials optimization. However, many fundamental and applied aspects of the physics of these novel materials are not yet explored. Here we summarize our present understanding of the (quasi)-piezo- and -pyroelectricity in such materials. In contrast to the dipole-density piezoelectricity in ferroelectric polymers, the piezoelectric-like response of cellular polymers is intrinsic, with positive d/sub 33/ and negative d/sub 31/ and d/sub 32/ piezoelectric-like coefficients. Similarities with ferroelectric materials are outlined, especially switching of "polarization" and (quasi)-piezoelectricity. First steps towards patterned charging of cellular polymers are reported, an immediate consequence of the possibility for "polarization"-switchingin cellular materials. The results on cellular space-charge electrets suggest that well-known electret devices like microphones may be seen in a new light. Examples include dielectric and electromechanical hysteresis loops obtained with a commercially available electret microphone. In view of the results, cellular polymers may henceforth be called "ferroelectrets" and their material behavior "ferroelectretic". From an applied point of view, the performance of a Fresnel zone plate for focussing ultrasound is shown. Such a device may pave the way for a simple tool in nondestructive materials inspection, and demonstrates the large potential of cellular polymers for applications.

A systematic review and an expert survey on capabilities supporting multi product lines

Abstract: Context: Complex software-intensive systems comprise many subsystems that are often based on heterogeneous technological platforms and managed by different organizational units. Multi product lines (MPLs) are an emerging area of research addressing variability management for such large-scale or ultra-large-scale systems. Despite the increasing number of publications addressing MPLs the research area is still quite fragmented. Objective: The aims of this paper are thus to identify, describe, and classify existing approaches supporting MPLs and to increase the understanding of the underlying research issues. Furthermore, the paper aims at defining success-critical capabilities of infrastructures supporting MPLs. Method: Using a systematic literature review we identify and analyze existing approaches and research issues regarding MPLs. Approaches described in the literature support capabilities needed to define and operate MPLs. We derive capabilities supporting MPLs from the results of the systematic literature review. We validate and refine these capabilities based on a survey among experts from academia and industry. Results: The paper discusses key research issues in MPLs and presents basic and advanced capabilities supporting MPLs. We also show examples from research approaches that demonstrate how these capabilities can be realized. Conclusions: We conclude that approaches supporting MPLs need to consider both technical aspects like structuring large models and defining dependencies between product lines as well as organizational aspects such as distributed modeling and product derivation by multiple stakeholders. The identified capabilities can help to build, enhance, and evaluate MPL approaches.

A music search engine built upon audio-based and web-based similarity measures

Abstract: An approach is presented to automatically build a search engine for large-scale music collections that can be queried through natural language. While existing approaches depend on explicit manual annotations and meta-data assigned to the individual audio pieces, we automatically derive descriptions by making use of methods from Web Retrieval and Music Information Retrieval. Based on the ID3 tags of a collection of mp3 files, we retrieve relevant Web pages via Google queries and use the contents of these pages to characterize the music pieces and represent them by term vectors. By incorporating complementary information about acous tic similarity we are able to both reduce the dimensionality of the vector space and improve the performance of retrieval, i.e. the quality of the results. Furthermore, the usage of audio similarity allows us to also characterize audio pieces when there is no associated information found on the Web.