The basis of today’s security systems is the trust and confidence that the system will behave as expected and are in a known good trusted state. The trust is built from hardware and software elements that generates a chain of trust that originates from a trusted known entity. Leveraging hardware, software and a mandatory access control policy technology is needed to create a trusted measurement environment. Employing a control layer (hypervisor or microkernel) with the ability to enforce a fine grained access control policy with hyper call granularity across multiple guest virtual domains can ensure that any malicious environment to be contained. In my research, I propose the use of radium's Asynchronous Root of Trust Measurement (ARTM) capability incorporated with a secure mandatory access control policy engine that would mitigate the limitations of the current hardware TPM solutions. By employing ARTM we can leverage asynchronous use of boot, launch, and use with the hypervisor proving its state and the integrity of the secure policy. My solution is using Radium (Race free on demand integrity architecture) architecture that will allow a more detailed measurement of applications at run time with greater semantic knowledge of the measured environments. Radium incorporation of a secure access control policy engine will give it the ability to limit or empower a virtual domain system. It can also enable the creation of a service oriented model of guest virtual domains that have the ability to perform certain operations such as introspecting other virtual domain systems to determine the integrity or system state and report it to a remote entity.

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Many community colleges struggle to find the best strategy to help incoming at-risk students prepare for the placement test. The purpose of this quantitative quasi-experimental study, was to answer the question as to which of 2 programs, a 2-week, face-to-face mathematics refresher program, Math Boost-Up, or an online-only program, might increase the ACCUPLACER posttest scores of incoming community college students. The study used archival data for 136 students who self-selected to either participate in the Math Boost-Up program (the experiment group), or in the online-only program (the comparison group). Knowles's theory of adult learning, andragogy, served as the theoretical framework. Spearman, Kruskal-Wallis, Mann-Whitney, and chi-square tests were used to measure the effect of 4 moderator variables (age, high school GPA, number of minutes spent in MyFoundationsLab, and number of days spent in face-to-face sessions) on the pre- and posttest scores of students in each group. The results indicated that students in the Math Boost-Up program experienced statistically significant gains in arithmetic and elementary algebra than did those students in the online-only program. The results also indicated that the 4 moderator variables affected gains in posttest scores. Additionally, the results disproved the andragogical premise that students would be self-directed and would self-select to participate in the intervention. A recommendation was that participation in the face-to-face refresher program should be mandatory. The study contributes to social change by providing evidence that short-term refresher programs could increase the scores of students on placement tests.

In an era of technological growth, cloud computing is one of the hottest topics on the market. This, along with the overall increased use of digital systems, requires solid integration options to be developed. Redpill Linpro recognizes this and has developed a cloud-based Integration Platform as a Service (IPaaS) solution called Connectivity Engine. New techniques like this can however seem very abstract to a customer, something which a demo application could help substantiate. To aid in this issue we have developed a web-based Enterprise Resource Planning (ERP) system as well as an Integration Application to connect the ERP system with Salesforce.com in a bidirectional integration. With the use of Connectivity Engine this can be hosted in the cloud and be easily accessible. The project has been a success for Redpill Linpro as well as the authors. A solid way to demonstrate the abilities of Connectivity Engine has been developed along with descriptive documentation for any sales representative assigned to pitch the platform.

This master's thesis deals with the issue of traveling in public transport. In the first part the author informs about similar applications and theories necessary for understanding the problems. In the second part, the author describes the design and behavior of the mobile and server application, including the used technologies. Created mobile application has the task of navigating the user from one point to another in the shortest possible time, while it should be possible to replace the current route with faster one.

The aim of this work is to describe the basic mechanisms of memory management and access to peripherals via EBI at the ARM9 microcontroller family. It is a solution for connecting physical ethernet interface, SD / MMC card to the device and design a development kit with the ability to connect a hard or SSD drive. The second part is aimed at operating system Linux, its modification for the ARM9 family of microcontrollers and installing software packages.

Denna studie fokuserar på att jämföra responstiden för API:er skapade med Laravel och Spring Boot inom flygresebranschen för att förbättra användarupplevelsen och minska risken för kundförlust. REST-standarden, som använder HTTP-metoderna GET, PUT, DELETE och POST för att hantera resurser, är en viktig del av webbutveckling. Trots detfinns det en brist på studier som jämför dessa två ramverk när det gäller responstid. Genom att utveckla fyra REST-API:er, en databas och ett testverktyg analyseras responstid och testas hypotesen i examensarbetet. Resultaten visar att Spring-Boot erbjuder en stabil och kortare responstid jämfört med Laravel för både GET- och POST-request. Framtida forskning kan utvidga studien till att inkludera andra populära API-ramverk för att ge en mer omfattande förståelse av API-ramverkslandskapet och underlätta val av ramverk baserat på specifika projektbehov.

The research presented in this thesis, studies driver gap acceptance behavior for permissive left turn movements at signalized intersections. The thesis attempts to model the gap acceptance behavior using three different approaches, a deterministic statistical approach, a stochastic approach, and a psycho-physical approach. First, the deterministic statistical modeling approach is conducted using logistic regression to characterize the impact of a number of variables on driver gap acceptance behavior. The variables studied are the gap duration, the driver's wait time in search of an acceptable gap, the time required to travel to clear the conflict point, and the rain intensity. Considering stochastic gap acceptance, two stochastic approaches are compared, namely: a Bayesian and a Bootstrap approach. The study develops a procedure to model stochastic gap acceptance behavior while capturing model parameter correlations without the need to store all parameter combinations. The model is then implemented to estimate stochastic opposed saturation flow rates. Finally, the third approach uses a psycho-physical modeling approach. The physical component captures the vehicle constraints on gap acceptance behavior using vehicle dynamics models while the psychological component models the driver deliberation and decision process. In general, the three proposed models capture gap acceptance behavior for different vehicle types, roadway surface conditions, weather effects and types of control which could affect the driver gap acceptance behavior. These findings can be used to develop weather responsive traffic signal timings and can also be integrated into emerging IntelliDrive systems. / Master of Science

Environmental health awareness has elevated in recent years alongside the evidence that supports the need to mitigate harmful greenhouse gas (GHG) emissions from non-renewable energy resources. The transportation sector alone significantly contributes to the pollutants on a global scale. Although it is commonly used for its superior energy-density and fuel efficiency, diesel engines are a significant portion of the transportation sector that contributes to these pollutants. As a result, this motivates novel research to simultaneously drive fuel efficiency improvements and emissions reductions. <div><br></div><div>The aftertreatment system for a diesel engine is critical in reducing the amount of harmful tailpipe emissions. Efficient operation of these aftertreatment systems generally requires elevated temperatures of 250◦C or above. In this effort, a flexible valvetrain will be utilized to demonstrate fuel-efficient strategies via intake valve closure (IVC) modulation at elevated speeds and loads. In addition, thermal management strategies will be demonstrated at low-to-moderate loads via cylinder deactivation (CDA), cylinder cutout, exhaust valve opening (EVO) modulation, and high-speed idle operation.</div><div><br></div><div>At elevated engine speeds, late intake valve closure (LIVC) enables improved cylinder filling via a dynamic charging effect. It is experimentally and analytically demonstrated that LIVC at 2200 RPM and 7.6 bar to 12.7 bar BMEP can be used to increase the volumetric efficiency and enable higher exhaust gas recirculation fractions without penalizing the air-to-fuel ratio. As a result, efficiency improving injection advances are implemented to achieve 1.2% and 1.9% fuel savings without sacrificing NOx penalties. In order to implement the LIVC benefits on a cammed engine, production-viable valve profile solutions were investigated. It is demonstrated that lost-motion-enabled and/or added-motion-enabled boot shape profiles are capable of improving volumetric efficiency at elevated engine speeds and loads. These profiles were also considered for one (of two) -valve modulation and two-valve modulation. Nearly 95% of the volumetric efficiency benefits are possible using production-viable boot or phase profiles, while 80% of the benefits are possible for single-valve modulation. </div><div><br></div><div>At curb idle, CDA and cylinder cutout operation realize stay-warm aftertreatment thermal management improvements by leveraging their impact on the gas exchange process. Specifically, cylinder cutout demonstrates 17% fuel savings, while CDA demonstrates 40% fuel savings, over the conventional six-cylinder thermal calibration. Additionally, the performance of cylinder cutout is subject to the geometry of the exhaust manifold, location of the EGR loop, and ability to control the exhaust manifold pressure. </div><div><br></div><div>Elevating the idle speed, while maintaining the same idle load, enables improved aftertreatment warm-up performance with engine-out NOx and PM levels no higher than a state-of-the-art thermal calibration at conventional idle operation. Elevated idle speeds of 1000RPM and 1200 RPM, compared to conventional idle at 800 RPM, realized 31% to 51% increase in exhaust flow and 25◦C to 40◦C increase in engine-out temperature, respectively. Additional engine-out temperature benefits are experimentally demonstrated at all three idle speeds considered (800, 1000, and 1200 RPM), without compromising the exhaust flow rates or emissions, by modulating the EVO timing. </div><div><br></div><div>At low-to-moderate loads modern diesel engines manipulate exhaust manifold pressures to drive EGR and thermally manage the aftertreatment. In these engines exhaust manifold pressure control is typically achieved via either a valve after the turbine, a variable geometry turbine, or wastegating. It is experimentally demonstrated that valvetrain flexibility enables efficient engine and aftertreatment operation without requiring exhaust manifold pressure control. Specifically, IVC modulation and CDA at elevated engine speeds, along with EVO modulation, CDA, and internal EGR at low engine speeds can match, or improve, efficiency and thermal management performance compared to a stock thermal calibration that requires exhaust manifold pressure control.<br></div>

Although we give library instruction in graduate courses per request,we reach a small number of students this way. Others will see us oneon-one,but we’re still missing the majority. Nearly all Boot Campersare unknown to us, which means they’ve had no formal graduatelibrary instruction prior to writing the biggest project of their academiclives.To this end, we offered two new strategy-based workshops, whichwe propose to outline as one single-session presentation at USETDAunder the category of “Student Support and Training” (ImpactfulETD Processing).In Boot Camp, Session One covers data management: physical andvirtual workspace organization, file structure, online data storage andbackups. The emphasis here is on where to put data and how to saveit. Online programs covered include free word processing softwaresuch as Google Docs, Word Online, Shutterbug, and Zoho Docs andcloud storage services such as Google Drive, Microsoft’s OneDrive,Mac’s iCloud Storage, Amazon storage, Box and Dropbox.Session Two of Boot Camp addresses research and citation management.Revamped to include the Association of College and ResearchLibraries (ACRL) Information Literacy Framework’s concepts, wepresent systematic research as a transferable skill, not an isolated casetied to one course or problem. This workshop incorporates criticalthinking into showing students how to construct a search; how tokeep on top of research through folders, feeds, and alerts; and how tomanage citations via Mendeley.After the presentation and discussion, attendees should be able torecognize the significant function librarians perform in a targetedprogram such as Boot Camp convey the value of formal, timelyintervention for graduate students assess the benefits of linking ouroverall methodology to the ACRL Framework replicate our offeringsto support their students at the point of need, and beyond.