1,721,043 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Low power implementation of an AES 128-bit encryption
No full textThe author has granted permission for their work to be available to the general public.Not every innovative design/technology initially meets all of its design goals. Though there may be versions which complies with all of these parameters, many a times there occurs variants of these design/technology which accomplishes one or more parameter while comprising with one or the other. "The Advanced Encryption Standard (AES), also known as Rijndael, is a specification for the encryption of electronic data established by the U.S. National Institute of Standards and Technology (NIST) in 2001". Many speed and security optimized variants of this architecture were developed, since most among them were employed over purely software platform. Silicon die design and validation cost forced early hardware implementations to be keen on area optimization, later the focus was changed to other parameters such as maximizing throughput with comprising area, power etc. This work concentrates on reducing the present power elements of the hardware implementations without losing the integrity or compromising the security, and make the architecture compatible for Low-power applications, where execution rate is not much of a consideration. Three variants of codes were synthesized and analyzed using Synopsis Design compiler with 45nm NanGate Open Cell library and TMSC 180nm technology nodes. The results obtained were promising when compared with results already published.Electrical and Computer Engineerin
Integrating Kerberos in OpenStack cloud infrastructure as a service
No full textThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.Infrastructure as a Service (IaaS) is one of the three fundamental service models of cloud computing besides Platform as a Service (PaaS) and Software as a Service (SaaS). IaaS provides access to the computing resources such as compute, storage and networking services in a virtualized environment using a public connection like internet. Instead of having to purchase hardware outright, users can purchase IaaS based on their consumption, similar to electricity or other utility billing. An IaaS consumer can usually access these resources through a web browser need not manage or control the underlying physical infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components. IaaS can be utilized by enterprise customers to create cost effective and easily scalable IT solutions. Amazon Web Services (AWS), Microsoft Azure, Google Compute Engine (GCE), Rackspace are the leading IaaS providers. OpenStack is one such open source IaaS platform. OpenStack is an open source cloud computing operating system. OpenStack operating system assimilates the underlying physical infrastructure into a pool of common resources such as compute, storage and networks. These resources can be provisioned into flexible units that are quickly allotted as per the user's demands. Users can configure their systems using these resources on a self-service and pay as you use basis from a web based user interface. OpenStack evolves to be a popular IaaS solution. This research primarily focuses on OpenStack's central identity management service called as keystone. Keystone is organized as a group of internal services such as identity, token, catalog and policy services. All the users in OpenStack are registered with keystone. The identity service authenticates OpenStack users and services based on user credentials such as username and password. Upon validating these credentials keystone generates and issues an authentication token called as "Bearer token" which the user uses subsequently to access OpenStack services. The user forwards this token to access other OpenStack services in order to perform certain user related operations. On receiving it, the OpenStack service verifies the token validation time and authorizes the user to perform the requested operation. In the recent times there has been a growing interest in the OpenStack user community to improve the user authentication in keystone. The current authentication mechanism uses bearer tokens. Bearer token means that whoever possesses the token has all the rights associated with that person. These tokens are forwarded by the users across all of the public services in an OpenStack deployment. Hence, if a malicious entity steals the bearer token associated with a person, it can impersonate as the original user. As OpenStack grows and this token is presented to the ever increasing list of services the vulnerability of this mechanism increases which may compromise the security of OpenStack users and needs to be addressed. To address the problem of token impersonation a secure user authentication protocol like Kerberos can prove to be very effective. Kerberos mechanism allows users to authenticate using symmetric key encryption by the collaboration of a reliable third-party called as a Key Distribution Center (KDC). In addition to that, Kerberos allow users access to the services without the need of repeating the authentication process as long as the session stays alive; this feature is known as single sign on. In this thesis, a systematic study of the keystone architecture and the existing token based user authentication is conducted. Based on it a proof of concept model of Kerberos is designed to verify the feasibility to integrate Kerberos with the existing token based authentication. This proposed model is further implemented at the keystone by leveraging the underlying token mechanism and by linking the Kerberos credentials with the token which provides an added layer of security to the existing mechanism. Benchmark tests are performed to evaluate the cost incurred by the proposed implementation.Electrical and Computer Engineerin
Victim Cache and Quota Victim Cache Performance Impact on Simultaneous Multithreaded Systems
No full textThe author has granted permission for their work to be available to the general public.Simultaneous multithreading, or SMT, uses a superscalar CPU running multiple threads to efficiently use a CPU. A key aspect of SMT is the sharing of resources, such as cache, between the threads to provide an efficiency gain over adding additional cores with private resources. Shared cache optimization allows for higher CPU performance by reducing the time wasted from cache misses. A victim cache and a modified victim cache utilizing a quota system were tested to see the instruction per cycle performance impact on a SMT system. The victim cache was added between the L1 and L2 caches and was tested in a single, double, and quadruple threaded case with mixes from the SPEC2006 benchmarks. The quota system victim cache was created specifically for SMT systems and was created to prevent greedier threads from using all of the victim cache, depriving the other threads of its benefits. The victim cache always generated higher IPC performance, but the magnitude decreased as the L1 cache grew, and increased with additional threads. With the quota modification, more performance than that of the victim cache was added, but the magnitude decreased with additional threads. Overall, the victim cache could be used to economically add performance to a system with a small L1 cache. The quota system did not generate enough additional performance to justify its additional expense, and could potentially be replaced with a partitioned victim cache.Electrical and Computer Engineerin
Intelligent Signal Smoothing and Cumulative Sum Control Applied to Nuclear Source Search
No full textThe full text of this item is not available at this time because the author has placed this item under an embargo until June 20, 2024.Precise identification of activities associated with the use of nuclear materials – illicit or legal - is the main mission of nuclear security. Data analytics significantly contributes to that cause by recognizing patterns of interest and making inferences. In this thesis one new algorithm involving smoothing is introduced and another method which involves cumulative sum control (CUSUM) is used for abrupt change detection in gamma ray measurements. Such changes may designate activities pertaining to nuclear material, and thus, their fast and accurate detection is of paramount significance. The first method is based on the synergism of fuzzy number and data smoothing to label each datapoint in time series measurements as containing a potential threat or merely noise. The second method simply applies a derivative to a cumulative sum control. The methods were tested using five time series of real-world gamma measurements with infused peaks of varying magnitude and varying location. The ratio of the number of correctly identified peaks is recorded as a number between zero and one inclusive. On average the intelligent smoothing method identified 66.6% of the peaks correctly and the cumulative sum control method identified 83.4% of the peaks correctly.Electrical and Computer Engineerin
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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