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Since the introduction of networks, they have been used amongst home users, companies and organizations and most damage on the network is due to inappropriate security configurations. To secure networks, a protocol suite can be used to encrypt and authenticate all IP packets of a session. Therefore, this report will include the advantages and possible solution of some techniques used to offer increased network security such as scalability and data confidentiality. Captures of traffic sent using the two security techniques, IPSec/VPN and GRE-Tunnel will be monitored. The objective behind this project is to configure a network with these two different tunneling techniques and compare the security and network performance. The report also describes the security problems encountered by networks such as the ignorance of network users, vulnerabilities and the security of the devices.IPSecis a standard security protocol solution for TCP/IP, and it provides security through authentication, encryption and data integrity. GRE encapsulates packets and create a logical hub-and spoke topology of virtual point-to-point connections. The Jperf-tool is used to measure network performance and show specific details while another tool, Wireshark is used to analyze the information captured during transmission of data sent using IPSEC and GRE. The comparison further finds that IPSec-tunnel technique makes data transfers very secure but causes network performance disadvantages in comparison to a GRE solution.

This study examines the effectiveness of traditional admissions criteria, including prior GPA, SAT, GRE, and TOEFL in predicting undergraduate and graduate academic success for American and international students at a large public university in the southwestern United States. Included are the admissions and enrollment data for 25,017 undergraduate American, 509 undergraduate international, 5,421 graduate American, and 1,733 graduate international students enrolled between 2005 to 2009.Person product-moment correlation, multiple regression, and user-determined stepwise regression were applied to the data. Results show high school GPA is the most predictive of first-year college GPA for both undergraduate American and international students. SAT has a medium correlation with first-year college GPA for American students and a large correlation for international students. High school GPA and SAT together explain one fourth of the variance in first-year college GPA for American students and over one half of the variance for international students. TOEFL has a medium correlation with first-year GPA for undergraduate international students but is not a significant predictor of first-year GPA when SAT is included in multiple regression. Unlike the results for undergraduate students, the traditional admissions criteria (undergraduate GPA and GRE) for graduate admissions explain a small portion of variance in first-year graduate GPA. Undergraduate GPA, GRE Verbal, and Quantitative together explain 6.3% of variance in first-year graduate GPA for American students and 3.1% for international students. The GRE Subject Tests are the best predictor of first-year graduate GPA for students who had taken the GRE Subject Tests. TOEFL has a small correlation with first-year graduate GPA for international students, and it is not a significant predictor of graduate GPA when GRE-Verbal is included. These findings have implications for undergraduate and graduate admissions, standardized admissions tests, university curriculum, and students' academic success.

The purpose of this study was to develop vocabulary materials to aid non-native English speakers, specifically Russian speaking test-takers, in their preparation for the mathematical sections of the General Record Examination (GRE) and the Graduate Management Admission Test (GMAT) in terms of English mathematical vocabulary. GRE and GMAT preparation materials and practice tests published by the Educational Testing Service, Kaplan, and Barron's were analyzed with the help of computer software. This data was then used to determine which key words to include in the vocabulary tool, which is now available on Quizlet (www.quizlet.com). The developed materials were further proofread by competent mathematics and English language professionals and assessed with the help of a questionnaire administered to them. The rationale of the materials development and the procedures used for the process are described in detail in this thesis project.

This thesis deals with comparison of rapid and conventional methods used in MRI (Magnetic Resonance Imaging). There is a description of imaging methods such as EPI (Echo Planar Imaging), Ultra-fast GRE, FSE (Fast spin echo) as well as a snapshot-FLASH and FISP (Fast Imaging with Steady Precession). Experimental part of this thesis deals with the rapid FSE (Fast Spin Echo) method. Especially is explained and assembled an algorithm for proper compilation of data from the FSE method. This algorithm allows us to evaluate the images from the FSE method. This method is examined in detail (in terms of impact parameters) and compared with traditional conventional methods. Finally, the individual images are evaluated, and the best parameters for FSE method are identified.

Antalet tillgängliga IPv4-adresser håller i dagsläget på att ta slut och det ärdärför nödvändigt att hitta en metod för att migrera nätverket till den nyastandarden, IPv6. En migrering kan kräva att de två IP-versionerna måsteanvändas i nätverket simultant, för att de system som är beroende av nätverketska vara tillgängliga. Syftet med arbetet var att undersöka prestandani de olika migreringsteknikerna, samt att få fram vilka tekniker som är attföredra. Med hjälp av två scenarion, uppsatta i labbmiljö, testades migreringsteknikernasprestanda med verktyget Iperf. 6to4 och GRE testades iden ena miljön samt NAT64 och Teredo i den andra miljön. De nätverksegenskapersom analyserades var throughput, jitter samt packet loss. Resultatenvisade på att 6to4 och GRE är näst intill jämlika men att 6to4 haraningen bättre throughput än GRE. Större skillnad var det mellan NAT64och Teredo, där Teredo kunde uppmätas till en mycket högre hastighet medUDP-trafik än NAT64. När TCP användes var dock NAT64 något snabbareän Teredo. / The number of usable IPv4 addresses is in the current situation sufferingfrom exhaustion and it is therefore necessary to find a way to migrate thenetwork to the new standard, IPv6. A migration may require that the two IPversions must be run on the network simultaneously, to make sure that systemsthat are dependent on the network are running stable. The purpose ofthis study was to examine the performance of the different migration techniques,and find out which techniques are preferred. With the help of twoscenarios that were used in a test bed, a performance test was done usingthe Iperf tool. 6to4 and GRE were tested in one environment and NAT64and Teredo in the other environment. The network properties analyzed werethroughput, jitter and packet loss. The results showed that the 6to4 and GREare almost equally balanced but 6to4 has slightly better throughput thanGRE. A much more notable difference could be seen between NAT64 andTeredo, were Teredo was measured with a much higher transmission rate ofUDP traffic than NAT64. However, when TCP was used, NAT64 wasslightly faster than Teredo.

No description available.

Disparate student academic outcomes and program access is a problem at Master of Public Administration (MPA) programs in the Northeast United States The current admission committee members at the case university did not know institution leaders' rationale for eliminating the Graduate Records Examination (GRE) criterion. The decision to exclude the GRE as an MPA admission requirement was enacted prior to their respective tenures. The program leadership expressed interest in exploring research-based admission criteria to enhance student access and predictive outcomes. Supported by critical pedagogy and humanist theories, the purpose of this case study was to investigate admission committee members' viewpoints about the GRE's predictive efficacy for MPA applicants. Two MPA admission committee members were purposefully selected to be study participants. Data were collected via semi structured individual and focus group interviews. Data were analyzed using thematic analysis for emergent themes. The study findings were: (a) GRE scores reduce applicant access to MPA programs; (b) student access to MPA programs may improve should universities use a broader array of non-cognitive admission assessments; (c) students with low GRE scores may still attain the MPA; and (d) the GRE Quantitative section is not relevant to assess the soft skills MPA graduates will need in the public sector. These findings can be used by the case university MPA stakeholders to implement a model of varied non-cognitive admission methods. This study may promote social change by providing MPA admission stakeholders with a broader selection of non-cognitive assessments to support increased rates of applicant access and program completion outcomes.

Professional physical therapist education programs use a variety of measures of academic performance, aptitude, and interpersonal skills when selecting students for admission. Grade point averages (GPA) and scores on standardized tests, such as the Graduate Record Examination (GRE), are commonly used quantitative measures. The purpose of this study was to investigate the utility of these measures in predicting which physical therapist students will encounter difficulty in the academic program or in passing the National Physical Therapist Examination (NPTE). This study used a retrospective longitudinal design. A nationally representative sample of 20 programs was drawn from the population of physical therapist education programs that utilize the GRE and enroll 30 or more students per year. The sample programs provided data regarding student demographic characteristics and undergraduate GPA and GRE scores for each student admitted to the cohorts graduating in 2000 through 2004. Programs also provided data regarding academic difficulty for each student. Data provided by the programs were matched to data provided by the Federation of State Boards of Physical Therapy regarding whether the student encountered difficulty passing the NPTE. Data were analyzed using logistic regression, receiver-operating characteristic (ROC) curves, and diagnostic likelihood ratios. The final sample included data on 3,585 students from 20 programs. When controlling for program, cohort, ethnicity, and age, undergraduate GPA (O.R. = 0.851 ±0.031), verbal GRE score (O.R. = 0.970 ±0.017), and quantitative GRE score (O.R. = 0.963 ±0.015) were independently predictive of academic difficulty. Within programs, undergraduate GPA was the most consistent predictor of academic difficulty, contributing to prediction of difficulty for 12 of the programs in the sample. When controlling for program, cohort, and NPTE test version, undergraduate GPA (O.R. = 0.882 ±0.031) , verbal GRE score (O.R = 0.935 ±0.016), and quantitative GRE score (O.R. = 0.965 ± 0.014) were independently predictive of NPTE difficulty. Within programs, verbal GRE score was the most consistent predictor of difficulty on the NPTE, contributing to prediction of difficulty in 11 of the sample programs. The results support the use of undergraduate GPA and GRE scores for making admissions and academic decisions in physical therapist education.

A geração de expressão de referência (GER) é um dos principais componentes de aplicações de geração de língua natural a partir de dados não linguísticos. Trabalhos existentes nesta área tendem a se concentrar em domínios bidimensionais e tridimensionais simples. Domínios mais realistas, entretanto, ainda são pouco explorados pela literatura, possivelmente pela dificuldade em produzir modelos computacionais com o grau de complexidade exigido. O recente surgimento de aplicações baseadas em ambientes interativos tridimensionais, todavia, oferece uma ampla gama de oportunidades de pesquisa em GER. Nesse trabalho apresentamos um algoritmo de GER para seleção de atributos espaciais em ambientes interativos tridimensionais do tipo GIVE. A solução proposta é uma extensão de um algoritmo de GER tradicional que utiliza relações espaciais combinado com conhecimento linguístico extraído de corpora e modelos computacionais de referência espacial. Essa solução foi avaliada de forma intrínseca no domínio de instruções em mundos virtuais. / Referring expressions generation (REG) is one of the main components in the generation of Natural Language from non-linguistic data. Existing work in the eld tends to focus on simple two- or three-dimensional domains. More realistic domains, however, are still little investigated, possibly due to the diculties in producing computational models with the required degree of complexity. The recent rise of applications based on three-dimensional interactive environments, however, oers a wide range of research opportunities in REG. In this work we present a REG algorithm for selecting spatial attributes in three-dimensional interactive environments GIVE. The proposed solution is an extension of a traditional REG algorithm that makes use of spatial relations combined with linguistic knowledge extracted from corpora and computational models of spatial reference. The proposal was evaluated intrinsically in the domain of instructions generation in virtual worlds.