131,149 research outputs found
Načrtovanje in prototip digitalnega dvojčka izobraževalni stavbe
No full textThe thesis researches the planning and prototyping of a digital twin (DT) to improve energy efficiency and user comfort in an educational building. The chosen approach combines quantitative and qualitative methods and technical solutions of DT, which can also be used for educational purposes, with the aim of advancing BIM and DT technologies for the future. The thesis provides a comprehensive literature review, the goals and objectives for the use of DT, supporting scenarios of use and applications of DT and investigation of indoor characteristics that can be measured by IoT (Internet of Things) sensors, which are available on the market and feasible for the selected project. In the DT planning phase, a sensor placement strategy was developed. It was based on historical data, collected data on energy consumption and occupancy patterns of spaces, and a survey using Dalux Environment to capture 360° photographs of the case study building. Following this, an economic evaluation of the proposed technical solutions was conducted. These steps led to the creation of a DT prototype adopted to the selected scenario, using Autodesk Tandem. In addition, the thesis outlines a systematic approach to the use of BIM and as-built modelling, which plays a crucial role in the development and implementation of building DTs. This work is potentially interesting because of the in-depth research on DT and the process of implementing DT with BIM. The results can be used for research and educational purposes and enable the inspection of the building, its operation and also the improvement of well-being.Delo raziskuje načrtovanje in izdelavo prototipov digitalnega dvojčka (DT) za izboljšanje energetske učinkovitosti in udobja uporabnikov v izobraževalni stavbi. Izbrani pristop združuje kvantitativne in kvalitativne metode in tehnične rešitve DT, ki se lahko uporabijo tudi v izobraževalne namene, s čimer bi želeli približati uporabo BIM in tehnologij digitalnih dvojčkov naslednjim generacijam. V nalogi je najprej podan podroben pregled literature opredeljeni so cilji za rabo DT, podporni scenariji uporabe in aplikacij DT ter možnosti uporabe meritev s senzorji IoT (angl. Internet of Things), ki so na voljo na trgu in izvedljivi za izbrani projekt. Pri praktični implementaciji prototipa, je prikazano, kako se na podlagi zgodovinskih podatkov, zbranih podatkov o rabi energije in udobju uporabnika, lahko izdela načrt postavitve senzorjev, ki mu sledi ekonomska ocena predlagano tehničnih rešitev. Končni rezutlat teh korakov je prototip DT za izbrane scenarije. V fazi načrtovanja DT je bila izdelana strategija postavitve senzorjev z uporabo Dalux in fotografij 360°. Nato je bila izvedena ekonomska ocena predlaganih tehničnih rešitev ter prototip DT z uporabo Autodesk Tandem.V okviru naloge je bil izdelan tudi pristop za uporabo BIM in posnetek obstoječe stanja, ki je ključen pri izdelavi in implementaciji DT stavb. To delo je potencialno zanimivo zaradi poglobljene raziskave DT in postopka implementacije DT z BIM. Rezultati se lahko uporabijo v raziskovalne in izobraževalne name ter omogočajo pregled stavbe, njenega delovanja in tudi izboljšanje kakovosti bivanja
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Global survey of star clusters in the Milky Way: III. 139 new open clusters at high Galactic latitudes
No full textContext. An earlier analysis of the Milky Way Star Cluster (MWSC) catalogue revealed an apparent lack of old (t � 1 Gyr) open clusters in the solar neighbourhood (d � 1 kpc). Aims. To fill this gap we undertook a search for hitherto unknown star clusters, assuming that the missing old clusters reside at high Galactic latitudes | b | > 20°. Methods. We were looking for stellar density enhancements using a star count algorithm on the 2MASS point source catalogue. To increase the contrast between potential clusters and the field, we applied filters in colour-magnitude space according to typical colour-magnitude diagrams of nearby old open clusters. The subsequent comparison with lists of known objects allowed us to select thus far unknown cluster candidates. For verification they were processed with the standard pipeline used within the MWSC survey for computing cluster membership probabilities and for determining structural, kinematic, and astrophysical parameters. Results. In total we discovered 782 density enhancements, 524 of which were classified as real objects. Among them 139 are new open clusters with ages 8.3 < log (t [yr]) < 9.7, distances d< 3 kpc, and distances from the Galactic plane 0.3 <Z< 1 kpc. This new sample has increased the total number of known high latitude open clusters by about 150%. Nevertheless, we still observe a lack of older nearby clusters up to 1 kpc from the Sun. This volume is expected to still contain about 60 unknown clusters that probably escaped our detection algorithm, which fails to detect sparse overdensities with large angular size
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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