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Institution

University of Maribor

EducationMaribor, Slovenia
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.


Papers
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Journal Article
TL;DR: In this article, a cumulant-based method for identification of gait using accelerometer data is presented, where feature vectors for classification were built using dimension reduction on calculated cumulants by principal component analysis (PCA).
Abstract: In this paper a cumulant-based method for identification of gait using accelerometer data is presented. Acceleration data of three different walking speeds (slow, normal and fast) for each subject was acquired by the accelerometer embedded in cell phone which was attached to the person's hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with different number of lags were calculated. Feature vectors for classification were built using dimension reduction on calculated cumulants by principal component analysis (PCA). The classification was accomplished by support vector machines (SVM) with radial basis kernel. According to portion of variance covered in the calculated principal components, different lengths of feature vectors were tested. Six healthy young subjects participated in the experiment. The average person recognition rate based on gait classification was 90.3±3.2%. A similarity measure for discerning different walking types of the same subject was also introduced using dimension reduction on accelerometer data by PCA.

82 citations

Journal ArticleDOI
TL;DR: The case study showed that the proposed information mapping improved the project's progress monitoring, detailed planning, and management of material flows, across the construction supply-chain.

82 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the selected categories of environmental footprints related to the planetary boundaries and threats to human security, and discussed the importance of various footprints and the simultaneous analysis of footprints as a major direction of research and practice.
Abstract: This contribution presents the selected categories of environmental footprints related to the planetary boundaries and threats to human security. The analysis covers the footprint family of indicators that usually consists of ecological, carbon or more precisely greenhouse gas and water footprints and also sometimes the energy footprint. The other assessed footprints that are important for ecosystem health in regard to water, health, food, and land and species security are nitrogen, phosphorus, biodiversity and land footprints, which have already transgressed the planetary boundaries and are therefore outside the safe operating space. The importance of the various footprints is discussed and the simultaneous analysis of footprints is emphasised as a major direction of research and practice. The comprehensive set of environmental impacts, e.g. set of presented footprints in this contribution, should be considered and should incorporate the burdening and unburdening concept from the life cycle perspective. Some applications of the presented environmental footprints are offered, and conclusions and remarks provided for future observation.

82 citations

Journal ArticleDOI
TL;DR: In this article, the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals was investigated. But, the authors found that values at the individual level make a more significant contribution to explaining variance in ethical behaviors than do values at a societal level.
Abstract: Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to explaining variance in ethical behaviors than do values at the societal-level. Implicitly, our findings question the soundness of using societal-level values measures. Implications for international business research are discussed.

82 citations

Journal ArticleDOI
TL;DR: In this paper, the authors generalized the results obtained in [1] in two ways: first, the six-dimensional F-theory compactifications with U(1) × U( 1) gauge symmetry on elliptic Calabi-Yau threefolds, constructed as a hypersurface in dP 2 fibered over the base $ B={{\mathbb{P}}^2} $676], were generalized to CalabiYau 3folds elliptically fibered on an arbitrary two-dimensional base B. While the representations of
Abstract: The purpose of this note is to extend the results obtained in [1] in two ways. First, the six-dimensional F-theory compactifications with U(1) × U(1) gauge symmetry on elliptic Calabi-Yau threefolds, constructed as a hypersurface in dP 2 fibered over the base $ B={{\mathbb{P}}^2} $ [1] , are generalized to Calabi-Yau threefolds elliptically fibered over an arbitrary two-dimensional base B. While the representations of the matter hypermultiplets remain unchanged, their multiplicities are calculated for an arbitrary B. Second, for a specific non-generic subset of such Calabi-Yau threefolds we engineer SU(5) × U(1) × U(1) gauge symmetry. We summarize the hypermultiplet matter representations, which remain the same as for the choice of the base $ B={{\mathbb{P}}^2} $ [2], and determine their multiplicities for an arbitrary B. We also verify that the obtained spectra cancel anomalies both for U(1) × U(1) and SU(5) × U(1) × U(1).

81 citations


Authors

Showing all 4077 results

NameH-indexPapersCitations
Ignacio E. Grossmann11277646185
Mirjam Cvetič8945627867
T. Sumiyoshi8885562277
M. Bračko8773830195
Xin-She Yang8544461136
Matjaž Perc8440022115
Baowen Li8347723080
S. Nishida8267827709
P. Križan7874926408
S. Korpar7861523802
Attila Szolnoki7623120423
H. Kawai7647722713
John Shawe-Taylor7250352369
Matjaz Perc5714812886
Mitja Lainscak5528722004
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202352
2022135
2021809
2020870
2019832
2018756