186,309 research outputs found
Pirouz-Nourian/MarchingTetrahedrons: Marching Tetrahedrons
No full text<p>This is an implementation of the marching tetrahedrons algorithms that is intended to be easily readable. I wrote this thanks to the great explanations of Paul Burke: <a href="http://paulbourke.net/geometry/polygonise/">http://paulbourke.net/geometry/polygonise/</a></p>
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
sj-pdf-1-epb-10.1177_23998083211064290 - Supplemental material for Investigating rural public spaces with cultural significance using morphological, cognitive and behavioural data
No full textSupplemental material, sj-pdf-1-epb-10.1177_23998083211064290 for Investigating rural public spaces with cultural significance using morphological, cognitive and behavioural data by Nan Bai, Pirouz Nourian, Ana Pereira Roders, Raoul Bunschoten, Weixin Huang and Lu Wang in EPB: Urban Analytics and City Science</p
Creating the medial axis transform for billions of lidar points using a memory efficient method
No full textUsing Light Detection And Radar (LiDAR) large parts of the earth's geography can be captured an represented as a 3D pointcloud. The whole elevation dataset of the Netherlands (AHN2) is currently available and captured using this technique, it contains around 640 billion points. These massive dataset in its current form is well suited for visualisation and certain forms of analysis, as the 3D points are the outer boundary of objects. However, the Medial Axis Transform (MAT) is another way to represent these objects. As it represents the inner/outer skeleton of the objects some features become more easily detectable and it could be used as a tool in point cloud analysis. The MAT can be created from pointclouds using various methods, however the shrinking ball algorithm is used as it is relative simple to implement, more storage efficient and easier to parallellize compared to other methods. Yet the computation of it for a massive dataset such as the AHN2/3 is troublesome as it does not fit inside the main memory of the computer. This thesis focusses on how to scale the MAT so it can be computed for massive datasets using a main memory efficient approach. Two methods (i.e. tiling and streaming based algorithms) are proposed. They both subdivide the pointcloud dataset in to manageable subsets, so that the MAT can be computed on these smaller sets. However, the tiling approach relies heavily on temporal storage on the external memory (harddisk) by creating smaller tiles. whilst the streaming approach tries to manage it within the Main memory by scanning the input dataset multiple times and storing tiles in the main memory. This thesis concludes that using both methods it is possible to compute the MAT of a dataset which is larger than the main memory. The tiling approach seems suited as the temporal storage of the external memory is about the same size as the output data, further more the main memory usage can be regulated easily as the amount of tiles which will be processed at the same time can be chosen. The streaming approach shows potential to be efficient as well in computing the MAT. However, because streaming computations loads the input data sequentially and processes it using a limited memory buffer, outputting data and freeing memory space is needed. In this thesis a first step in finding a way to achieve that is made, however it is not functioning that well. As such the data outputting can not be as rapid as it should be when using streaming algorithms.GeomaticsOTBArchitecture and The Built Environmen
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Dr. Edward P. Wimberly, ITC, July 2011
No full textThis video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
Author Rights and Scholarly Publishing
Full text linkOriginally posted at
http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
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