135,378 research outputs found
A necessary condition for generic rigidity of bar-and-joint frameworks in -space
No full textA graph is -sparse if each subset with induces at most edges in . Maxwell showed in
1864 that a necessary condition for a generic bar-and-joint framework with at
least vertices to be rigid in is that should have a
-sparse subgraph with edges. This necessary
condition is also sufficient when but not when . Cheng and
Sitharam strengthened Maxwell's condition by showing that every maximal
-sparse subgraph of should have edges when
. We extend their result to all .Comment: There was an error in the proof of Theorem 3.3(b) in version 1 of
this paper. A weaker statement was proved in version 2 and then used to
derive the main result Theorem 4.1 when . The proof technique was
subsequently refined in collaboration with Hakan Guler to extend this result
to all in Theorem 3.3 of version
Spatial Dataset for Suitability Modeling and Sensitivity Analysis for Biomass Energy Facilities in Turkey
No full textThis dataset contains various spatial data formatted with ESRI shapefile or TIFF for the Turkey study area. All data have the same projection system as EPSG 5637 TUREF/LCC Europe. The metadata of dataset is given below;
-Population Density, Turkish Statistical Institute, 2018,
-Estimated Biomass Energy, General Directorate of Energy Affairs, 2014,
-Slope, European Digital Elevation Model (EU-DEM), v 1.1, 2011, Raster, 25 m,
-Water Body, CORINE, 2018, Raster, 100 m,
-Road Network, Global Roads Open Access Data Set (gROADS), 2013, Vector,
-Railway Network, OpenStreetMap, 2019, Vector,
-Settlement Area, European Settlement Map, 2019, Raster, 10 m,
-Wetland, CORINE, 2018, Raster, 100 m,
-Green Area, Tree Cover Density (TCD), 2015, Raster, 20 m,
-Protected Area, General Directorate of Nature Conservation And National Parks, 2019, Vector,
-Airport, General Directorate of State Airports Authority, 2019, Vector,
-Mining Area, CORINE, 2018, Raster, 100 m
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
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.
Supplementary Material for 3D Description of Condominium Rights in Turkey: Improving the Integrated Model of LADM and IFC
No full textProperty set names, property names, property types, and data types for attributes of the packages of the proposed model that integrates LADM and IFC standards for 3D registration of condominium rights in Turkey.
It can be cited to the paper:
Guler, D., Yomralioglu, T. (2022). 3D Description of Condominium Rights in Turkey: Improving the Integrated Model of LADM and IFC. FIG Congress, Warsaw, Poland.</p
On the necessary conditions for transmitting correlated sources over a multiple access channel
No full textWe study the lossy communication of correlated
sources over a multiple access channel (MAC). In particular, we
provide a new set of necessary conditions for the achievability of
a distortion pair over a given channel. The necessary conditions
are then specialized to the case of bivariate Gaussian sources and
doubly symmetric binary sources over a Gaussian multiple access
channel. Our results indicate that the new necessary conditions
provide the tightest conditions to date in certain cases
Lossy coding of correlated sources over a multiple access channel: necessary conditions and separation results
No full textLossy coding of correlated sources over a multiple access channel (MAC) is studied. First, a joint source-channel coding scheme is presented when the decoder has correlated side information. Next, the optimality of separate source and channel coding, that emerges from the availability of a common observation at the encoders, or side information at the encoders and the decoder, is investigated. It is shown that separation is optimal when the encoders have access to a common observation whose lossless recovery is required at the decoder, and the two sources are independent conditioned on this common observation. Optimality of separation is also proved when the encoder and the decoder have access to shared side information conditioned on which the two sources are independent. These separation results obtained in the presence of side information are then utilized to provide a set of necessary conditions for the transmission of correlated sources over a MAC without side information. Finally, by specializing the obtained necessary conditions to the transmission of binary and Gaussian sources over a MAC, it is shown that they can potentially be tighter than the existing results in the literature, providing a novel converse for this fundamental problem
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