101,749 research outputs found
Joshua Davis: Author of Spare Parts
No full textCitation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University
Revisiting the Role and Future of National Constitutions in European and Global Governance: Introduction to the Research Project
No full textSteven Johnson Author Talk Poster
No full textK-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book
Human skin color clustering for face detection
No full textComputer vision is one out of many areas that wants to understand
the process of human functionality and copy that process with
intention to complement human life with intelligent machines. For better
human–computer interaction it is necessary for the machine to see people.
This can be achieved by employing face detection algorithms, like the one
used in the installation “15 Seconds of Fame”. Mentioned installation unites
the areas of modern art and technology. Its algorithm is based on skin
colour detection. One of the problems this and similar algorithms have to
deal with is sensitivity to the illumination conditions under which the input
image is captured. Hence illumination sensitivity influences face detection
results. One of the aspects from which we can observe illumination influence
is the choice of the proper colour space. Since some colour spaces
are designed to eliminate the influence of illumination (brightness) when
describing colour of an object, an idea of using such a colour space for
skin-colour detection has been taken under consideration and some of the
methods have been researched and tested
Samo morje je vedelo
No full textKnjiga Samo morje je vedelo: zbrani prispevki k slovenski pomorski zgodovini 2 prinaša drugi del zbranih razprav Miroslava Pahorja o slovenski pomorski zgodovini
Automation of spatial interactions mapping in ArcGIS
No full textV analizah prostorskih interakcij lahko njihova ustrezna upodobitev bistveno pripomore k razumevanju obravnavanega pojava v prostoru. V diplomski nalogi smo avtomatizirali postopke nekaterih v literaturi predlaganih standardnih izrisov prostorskih interakcij, hkrati pa smo predlagali tudi nekaj lastnih rešitev. Avtomatizirali smo postopke izrisa prostorskih interakcij po metodah pajkove mreže, neto izvorov in neto ponorov ter vektorje asimetrije. Poleg teh smo avtomatizirali tudi izračune in postopke izrisa prostorskih interakcij na način pajkove mreže bruto in neto povezav, poudarjanja ponorov, poudarjanja izvorov in po pristopu interpolacije ter razlike vektorjev asimetrije. Avtomatizacijo izrisa smo izvedli v programskem okolju ArcGIS, programska koda pa je napisana v programskem jeziku Python. Rezultati te diplomske naloge, ti. orodjarna za programsko okolje ArcGIS in napotki za izrise prostorskih interakcij s primeri, so neposredno uporabni v postopkih prostorskega načrtovanja.In the analysis of spatial interactions, their representation can significantly contribute to understanding of the discussed spatial phenomenon. In the graduation thesis we automated the procedures of some, in the literature proposed standard spatial interaction mapping methods, and proposed some of our own solutions. We have automated spatial interaction mapping methods using spider web method, net origins and net destinations and vectors of asymmetry. In addition to these, we also automated the calculations and procedures of mapping spatial interactions spider web gross and net connections, destination emphasis, origin emphasis, interpolation of vectors of asymmetry approach and the difference of vectors of asymmetry. The automation of the mapping was performed in the ArcGIS software environment, and the code is written in the Python programming language. The results of this diploma thesis is the ArcGIS software environment toolkit and instructions for mapping of spatial interactions with examples, which are directly applicable in spatial planning processes
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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Expanding “Communities and Collections” in the K-State Research Exchange (K-REx) to benefit the K-State Community and Beyond
No full textKansas State University has used its institutional repository, the K-State Research Exchange (K-REx), to store and share its first year experience program, K-State First, and notably its common reading program, K-State First Book. We have done so with the aim that the accessibility and preservation of these documents ensures program stability, promotes engagement with first year programming, and provides the ability to foster growth,educational opportunities, and community building outside of K-State. Moving away from research concentrated repositories and taking a more holistic approach to scholarship, especially when realizing the pedagogical significance of collaborative campus programming, institutions can showcase, discover, preserve, and grow programs that shape campus communities and engagement.
This session will provide an overview of K-REx and spotlight the digital archive of the university’s first year experience program and common reading program, K-State First Book. We will discuss the benefits and challenges to expanding the purview of your repositories. We talkthrough the types of materials we decide to host in our repository and why we share what we do. We will also provide recommendations on new ways to evaluate what belongs in institutional repositories and how this diversity can benefit your program, your institution, the community, and others
Ready Player One Program Event Poster
No full textK-State Book NetworkA poster advertising an author talk by Ernest Cline at Kansas State University on October 10, 2013. Ernest Cline's book "Ready Player One" was selected as the 2013-2014 common book
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