Institution
University of Ljubljana
Education•Ljubljana, Slovenia•
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.
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TL;DR: In this paper, equivalent ductility factors have been proposed, which take into account cyclic load reversals and the cumulative damage caused by cyclic deformation during strong earthquakes, and are based on different failure hypotheses.
Abstract: During strong earthquakes, the deformation capacity of structures is reduced due to the cumulative damage caused by cyclic load reversals. In the paper, equivalent (reduced) ductility factors have been proposed, which take into account this effect. They are based on different failure hypotheses. Ductility reduction due to low-cycle fatigue is controlled by a dimensionless parameter γ, which is a function of dissipated hysteretic energy, maximum displacement and the natural frequency of the structural system, and which has been proved to be a relatively stable quantity in the whole period range. If approximate values for γ are used, the determination of equivalent ductility is very simple, and thus appropriate for design purposes. The formulae for equivalent ductility factors include damage indices, and permit the designer to choose acceptable level of structural damage explicitly. As an example, equivalent ductility factors have been used to construct inelastic acceleration spectra, which are proportional to strength demand, for the El Centro 1940 SOOE record. The results have been compared with the ‘exact’ spectra obtained by non-linear dynamic analysis.
229 citations
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TL;DR: In this article, the first results of a benchmark problem concerning the simulation of coupled natural convection and melting from an isothermal vertical wall are presented in detail and show that, while qualitative agreement is obtained in most situations, it is still relevant to proceed to thorough numerical comparisons before assessing the accuracy of the different algorithms.
229 citations
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TL;DR: It was found that the walnut pellicle is the most important source of walnut phenolics, and the ratio between the contents in pellicles and kernel varied by at least 14.8-fold.
Abstract: Phenolic acids (chlorogenic, caffeic, p-coumaric, ferulic, sinapic, ellagic, and syringic acid) as well as syringaldehyde and juglone were identified in ripe fruits of 10 walnut cultivars: Adams, Cisco, Chandler, Franquette, Lara, Fernor, Fernette, Alsoszentivani 117 (A-117), Rasna, and Elit. Analyses were done using a high-performance liquid chromatograph equipped with a diode array detector. Significant differences in the contents of identified phenolics were observed among cultivars. Phenolics were determined separately in the kernel and in the thin skin of the walnut, termed the pellicle. Not only in the kernel but also in the pellicle did syringic acid, juglone, and ellagic acid predominate (average values of 33.83, 11.75, and 5.90 mg/100 g of kernel; and 1003.24, 317.90, and 128.98 mg/100 g of pellicle, respectively), and the contents of ferulic and sinapic acid (average values of 0.06 and 0.05 mg/100 g of kernel and 2.93 and 2.17 mg/100 g of pellicle, respectively) were the lowest in all cultivars. The highest differences in the sum of all identified phenolics were observed between Rasna and Fernette fruits; in Rasna there were >2-fold higher contents of identified phenolics in both kernel and pellicle. It was found that the walnut pellicle is the most important source of walnut phenolics. The ratio between the contents in pellicle and kernel varied by at least 14.8-fold for caffeic acid (cv. Adams) and by up to 752.0-fold for p-coumaric acid (cv. Elit).
229 citations
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TL;DR: In this article, the authors introduce the channel and spatial reliability concepts to discriminative correlation filters (DCF) and provide a learning algorithm for its efficient and seamless integration in the filter update and the tracking process.
Abstract: Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a learning algorithm for its efficient and seamless integration in the filter update and the tracking process. The spatial reliability map adjusts the filter support to the part of the object suitable for tracking. This both allows to enlarge the search region and improves tracking of non-rectangular objects. Reliability scores reflect channel-wise quality of the learned filters and are used as feature weighting coefficients in localization. Experimentally, with only two simple standard feature sets, HoGs and colornames, the novel CSR-DCF method--DCF with channel and spatial reliability--achieves state-of-the-art results on VOT 2016, VOT 2015 and OTB100. The CSR-DCF runs close to real-time on a CPU.
228 citations
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TL;DR: In this paper, the authors investigated the multilevel interplay among team-level, job-related, and individual characteristics in stimulating employees' innovative work behavior (IWB) based on the theoretical frameworks of achievement goal theory (AGT) and job characteristics theory (JCT).
Abstract: This study investigates the multilevel interplay among team-level, job-related, and individual characteristics in stimulating employees' innovative work behavior (IWB) based on the theoretical frameworks of achievement goal theory (AGT) and job characteristics theory (JCT). A multilevel two-source study of 240 employees and their 34 direct supervisors in two medium-sized Slovenian companies revealed significant two- and three-way interactions, where a mastery climate, task interdependence, and decision autonomy moderated the relationship between knowledge hiding and IWB. When employees hide knowledge, a team mastery climate only facilitates high levels of IWB if accompanied by either high task interdependence or high decision autonomy. In the absence of one of these job characteristics, knowledge hiding prevents higher levels of IWB even in the case of strong team mastery climate. The results suggest that multiple job design antecedents are necessary to neutralize the negative influence of knowledge hiding on micro-innovation processes within organizations.
228 citations
Authors
Showing all 17388 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
James M. Tour | 143 | 859 | 91364 |
Carmen García | 139 | 1503 | 96925 |
Bernt Schiele | 130 | 568 | 70032 |
Vladimir Cindro | 129 | 1157 | 82000 |
Teresa Barillari | 129 | 984 | 78782 |
Sven Menke | 129 | 1121 | 82034 |
Horst Oberlack | 129 | 985 | 80069 |
Hubert Kroha | 129 | 1126 | 80746 |
Peter Schacht | 129 | 1030 | 80092 |
Siegfried Bethke | 129 | 1266 | 103520 |
Igor Mandić | 128 | 1065 | 79498 |
Stefan Kluth | 128 | 1261 | 84534 |
Andrej Gorišek | 128 | 951 | 67830 |