99,195 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
Steven 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
Weighted K-nearest neighbor algorithm as an object localization technique using passive RFID tags
No full textTechnologies using identification by radio frequencies (RFID) are experiencing rapid development and healthcare is a major application area benefiting from it. Highly pervasive RFID enables remote identification, tracking and localization of the medical staff, patients, medications and equipment, thus increasing safety, optimizing in real-time management and providing support for new ambient-intelligent services. This thesis describes and evaluates an algorithm that enables object localization and tracking using passive RFID tags. This thesis also describes scenarios of how this technology can be used as a part of building a smart trauma resuscitation room by tracking the equipments. The main contribution of this thesis is the adaptation of the Weighted K-Nearest Neighbor Algorithm as a localization technique to track objects in a confined and crowded space by using passive RFID tags. The input parameter to the algorithm is the received signal strength indicator (RSSI), which gives a measure of back-scattered radio frequencies from passive tags. While using RFID technology special attention has to be given to the placement of antennas to get the optimum result. Therefore, we analyzed various antenna placement configurations with mean error and error consistency as the two performance parameters. The detection of multiple tags and human occlusion are two major concerns while tracking tags in a confined space with many team members collaborating on solving a problem. The RF signal can be interrupted by people walking around randomly and holding multiple (tagged) instruments at the same time. While the algorithm worked fine when tracking multiple tags, we had to modify the experimental set-up and attach an antenna onto the ceiling (which we call a vertical antenna), so that even if all the wall antennas are blocked we get at least one input parameter to base our localization decision on. We evaluated the algorithm for different combinations of configurations and number of neighbors, and achieved the following results. The best results were obtained for the 3 antennae (placed orthogonally) configuration considering the 4 nearest neighbors wherein a mean error rate of 15% of the maximum possible error was achieved under ideal conditions. We tested the algorithm for different human occlusion scenarios i.e. blocking 1 or 2 wall antennas, standing in random positions and then roaming in the field area randomly. The mean error rate for the standing scenario was measured as 20% of the maximum possible error and 18% in the case of roaming configuration. The error was found to be consistently within our defined maximum error for 100% of the recorded readings. The results obtained were found to be satisfactory for our application where, more than the exact location of the object, knowing whether the object is within a particular region is good enough for the users to know what task is being carried out in the trauma bay. Also the algorithm holds good in an indoor environment having a lot of factors and materials which affect the RF signal disrupting accurate calculation of the location co-ordinates. The algorithm does not require extensive data collection prior to implementation which makes it easily deployable in any environment. Apart from the problems mentioned there are some other factors like materials on which the tags are attached and orientation of tags which were found to be potential hindrances for accurate localization. Acceptable solutions to these problems form a part of our future work.M.S.Includes bibliographical referencesby Akshay Shett
FIGURE 6 in Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India
No full textFIGURE 6. Paratypes of Hemidactylus paucifasciatus sp. nov., from left to right, ZSI-CZRC-7117 NCBS-BH668 NCBSBH669. Scale bars 10 mm, photo by Akshay Khandekar.Published as part of <i>Mohapatra, Pratyush P., Agarwal, Ishan, Mohalik, Rakesh Kumar, Dutta, Sushil K. & Khandekar, Akshay, 2023, Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India, pp. 365-382 in Zootaxa 5301 (3)</i> on page 376, DOI: 10.11646/zootaxa.5301.3.3, <a href="http://zenodo.org/record/8030404">http://zenodo.org/record/8030404</a>
Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India
No full textMohapatra, Pratyush P., Agarwal, Ishan, Mohalik, Rakesh Kumar, Dutta, Sushil K., Khandekar, Akshay (2023): Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India. Zootaxa 5301 (3): 365-382, DOI: 10.11646/zootaxa.5301.3.3, URL: http://dx.doi.org/10.11646/zootaxa.5301.3.
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
FIGURE 3 in Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India
No full textFIGURE 3. Hemidactylus paucifasciatus sp. nov. (holotype, ZSI-R-28357): (A) dorsal view of head, (B) ventral view of head, (C) lateral view of head, (D) view of femoral region showing femoral pores, (E) ventral view of right manus, and (F) ventral view of right pes. Scale bars 5 mm, photos by Akshay Khandekar.Published as part of <i>Mohapatra, Pratyush P., Agarwal, Ishan, Mohalik, Rakesh Kumar, Dutta, Sushil K. & Khandekar, Akshay, 2023, Hemidactylus paucifasciatus (Squamata: Gekkonidae), a new species of large-bodied, tuberculate gecko from Northern Odisha, India, pp. 365-382 in Zootaxa 5301 (3)</i> on page 371, DOI: 10.11646/zootaxa.5301.3.3, <a href="http://zenodo.org/record/8030404">http://zenodo.org/record/8030404</a>
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
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