Engineering Commons^™

Rattus Norvegicus As A Biological Detector Of Clandestine Remains And The Use Of Ultrasonic Vocalizations As A Locating Mechanism, Gabrielle M. Johnston

Master's Theses

In investigations, locating missing persons and clandestine remains are imperative. One way that first responder and police agencies can search for the remains is by using cadaver dogs as biological detectors. Cadaver dogs are typically used due to their olfactory sensitivity and ability to detect low concentrations of volatile organic compounds produced by biological remains. Cadaver dogs are typically chosen for their stamina, agility, and olfactory sensitivity. However, what is not taken into account often is the size of the animal and the expense of maintaining and training the animal. Cadaver dogs are typically large breeds that cannot fit in …

Trace Dna Detection Using Diamond Dye: A Recovery Technique To Yield More Dna, Leah Davis

Master's Theses

This study aspires to find a new screening approach to trace DNA recovery techniques to yield a higher quantity of trace DNA from larger items of evidence. It takes the path of visualizing trace DNA on items of evidence with potential DNA so analysts can swab a more localized area rather than attempting to recover trace DNA through the general swabbing technique currently used for trace DNA recovery. The first and second parts consisted of observing trace DNA interaction with Diamond Dye on porous and non-porous surfaces.

The third part involved applying the Diamond Dye solution by spraying it onto …

Strainer: State Transcript Rating For Informed News Entity Retrieval, Thomas M. Gerrity

Master's Theses

Over the past two decades there has been a rapid decline in public oversight of state and local governments. From 2003 to 2014, the number of journalists assigned to cover the proceedings in state houses has declined by more than 30\%. During the same time period, non-profit projects such as Digital Democracy sought to collect and store legislative bill and hearing information on behalf of the public. More recently, AI4Reporters, an offshoot of Digital Democracy, seeks to actively summarize interesting legislative data.

This thesis presents STRAINER, a parallel project with AI4Reporters, as an active data retrieval and filtering system for …

Measuring Accessibility For Pedestrians, Bicyclists, And Transit Riders To Grocery Stores In The Excelsior/Outer Mission Neighborhoods Of San Francisco, Alexandra Lee-Gardner

Master's Theses

Grocery stores are an important amenity in neighborhoods and access to grocery stores is important for health and well-being. While grocery store accessibility is a popular topic of research, studies measuring access for pedestrians, bicyclists, and transit riders are extremely rare. When a new store opened in the Excelsior/Outer Mission districts of San Francisco on a street lacking basic infrastructure for pedestrians, bicyclists, and transit riders, the importance of this study became apparent. The Excelsior/Outer Mission neighborhood has a shocking number of collisions (over 1,100 between 2015 and 2019), elevated levels of walking, biking, and transit ridership, and minimal safe …

Impact Of Teaching Practices And Communication Climates On Participation In Computer Science Education, Jackie Krone

Master's Theses

One way to understand teaching is to view it as a people process rather than a presentation of knowledge. It follows that the role of an educator often extends beyond the primary subject matter and into the realm of classroom management. With this in mind, our research aimed to capture the various teaching practices, participation patterns, and communication climates that occur in virtual computer science classrooms. We sought to answer the following research questions related to virtual computer science classrooms at our institution: Who participates in virtual computer science classrooms, and is participation proportional to student demographics? Is there any …

Subnational Map Of Poverty Generated From Remote-Sensing Data In Africa: Using Machine Learning Models And Advanced Regression Methods For Poverty Estimation, Lionel N. Hanke

Master's Theses

According to the 2020 poverty estimates from the World Bank, it is estimated that 9.1% - 9.4% of the global population lived on less than $1.90 per day. It is estimated that the Covid-19 pandemic further aggravated the issue by pushing more than 1% of the global population below the international poverty line of $1.90 per day (WorldBank, 2020). To provide help and formulate effective measures, poverty needs to be located as exact as possible. For this purpose, it was investigated whether regression methods with aggregated remote-sensing data could be used to estimate poverty in Africa. Therefore, five distinct regression …

Personality And Mood For Non-Player Characters: A Method For Behavior Simulation In A Maze Environment, Noah L. Paige

Master's Theses

When it comes to video games, immersion is key. All types of games aim to keep the player immersed in some form or another. A common aspect of the immersive world in most role-playing games -- but not exclusive to the genre -- is the non-playable character (NPC). At their best, NPCs play an integral role to the sense of immersion the player feels by behaving in a way that feels believable and fits within the world of the game. However, due to lack of innovation in this area of video games, at their worst NPCs can jar the player …

Amplifying The Prediction Of Team Performance Through Swarm Intelligence And Machine Learning, Erick Michael Harris

Master's Theses

Modern companies are increasingly relying on groups of individuals to reach organizational goals and objectives, however many organizations struggle to cultivate optimal teams that can maximize performance. Fortunately, existing research has established that group personality composition (GPC), across five dimensions of personality, is a promising indicator of team effectiveness. Additionally, recent advances in technology have enabled groups of humans to form real-time, closed-loop systems that are modeled after natural swarms, like flocks of birds and colonies of bees. These Artificial Swarm Intelligences (ASI) have been shown to amplify performance in a wide range of tasks, from forecasting financial markets to …

Revalume: Configurable Employee Evaluations In The Cloud, Terrence Zone Li

Master's Theses

The software industry has seen a shift from annual to more frequent quarterly and even weekly employee reviews. As a result, there is a high demand for employee evaluations to be less costly and less time-consuming, while providing key insights for richer interactions between employees and their employers or managers. Tech com- panies are constantly looking for methods of producing high quality evaluations to prevent costly turnover. In an industry where software engineers are in high demand, tech companies face a challenging problem. Issues with employee evaluations typi- cally include the lack of performance transparency, unhelpful feedback, lack of metrics, …

Enhancing Capacity And Managing Demand To Increase Short-Term Throughput On The San Francisco-Oakland Bay Bridge, Kevin Reid Carstens

Master's Theses

While there are many proposals for fixing congestion between San Francisco and Oakland in California by adding a new bridge or tube, these solutions will take decades to implement even though a solution is needed now. This thesis assesses sixteen different strategies for reducing congestion in the short-term in the four categories of improving transit, promoting carpooling, implementing intelligent transportation systems practices, and incentivizing alternatives to using the Bay Bridge. Top priorities include HOV improvements on the West Grand Avenue and Powell Street onramps, altering WestCAT Lynx and BART transit services, partnering with rideshare apps to increase transit station accessibility …

Inducing Emotional Response In Interactive Media, Keenan M. Reimer

Master's Theses

Video games, and entertainment media have been developed for many years, and eliciting emotional experiences is an integral part of that process. Producing and editing game content in order to affect desired emotional experiences can be expensive and cumbersome to developers. This paper presents a study intended to show that such experiences can be affected with simple after-the-fact audio-visual effects. As subjects of the study, participants experience three different emotional states, fear, peace, and none, over three rounds and in three different game environments. They are given a simple narrative in each environment that directs them to gather various objects. …

Investigating The Correlation Between Freeway Service Levels And Freeway Service Patrol Assists, Nora Chin

Master's Theses

The Bay Area Metropolitan Transportation Commission’s (MTC) Freeway Service Patrol’s highway motorist response service is reporting a reduction in their service levels. We analyze the relationship between the reduction in the Bay Area Freeway Service Patrol’s (FSP) motorist assists and changes in vehicle miles traveled (VMT), California Highway Patrol (CHP) reported incidents, and cover research on the impact of new and old vehicle fleet turnover. VMT and CHP incidents have differential effects on FSP assists. Although incidents occurring on freeways with high traffic flows tend to cause more congestion, the trend in local VMT along Bay Area freeway corridors does …

Tunnel Road Safety: A Look At Older Drivers' Performance And Sight Impairment, Edith Lopez

Master's Theses

In California, there is an observed trend in which collisions cluster in and around tunnels. The break in road continuity created by the tunnels disturbs traffic flow that can lead to collisions. One of the main contrasts between open roads and tunnel roads occurs in lighting. Drivers with sight deficiencies are unable to adapt their sight to the change in the lighting environment and may crash due to misperception of road alignment, vehicle’s speed and other physiological reactions, such as tension. The suspect population group of crashes occurring under the influence of tunnels conditions is older drivers.

The literature suggests …

Utilizing Atcs Data To Inform A Dynamic Reassignment System For Muni Metro Light Rail Vehicles Departing Embarcadero Station, April M. Hickey

Master's Theses

This is a report of a professional project intended to act as an informational tool for the evaluation of a dynamic dispatch system at Embarcadero Station for the San Francisco Municipal Transportation Agency (SFMTA). Systems that operate dispatch algorithms do so in response to on-time performance and reliability. The optimization problem is documented in many transportation contexts including airline networks, bus dispatch, and freight routing. According to the research, optimizing available options and re-routing based on available options can create a more efficient system that would minimize operating costs and improving service reliability for customers.

The methodology presented here uses …

Creating A Pedestrian Level-Of-Service Index For Transit Stops: Evidence From Denver’S Light Rail System, Patrick Gallagher

Master's Theses

No abstract provided.

Eurotech Students In Germany: Preparation, Experience And Outcome, Daisy A. Michaels

Master's Theses

Higher education study abroad programs for U.S. students are on the rise. A variety of undergraduate disciplines are being coupled with international components to bring U.S. students to a higher level of global awareness to meet the demands of today’s economy. The University of Connecticut’s Eurotech Program is an example of this trend. Its students earn degrees in both German and engineering in a five year program. They are given practical training through study and internships in Germany under the auspices of the Baden-Württemberg Exchange Program. One of the Eurotech Program’s major goals is to enhance job opportunities for its …

The Effect Of Transit-Oriented Development On Vehicle Miles Traveled: A Comparison Of A Tod Versus A Non-Tod Neighborhood In Carlsbad, Ca, Natalie Louise Stiffler

Master's Theses

Transit-oriented development (TOD) is a strategy being used to reduce congestion, provide mode choice, and improve quality of life. A large amount of research has been done on individual aspects of TOD, but research specific to transportation-related benefits of TOD is limited. There is a need for traffic and transit data that is supported by comprehensive resident, employee, and user surveys to demonstrate the interrelationship between land uses, transportation, and socioeconomic and demographic characteristics. Moreover, VMT data at the household level is essential to analyze household travel behavior and the potential for VMT related emissions reduction.

The purpose of this …

Bus On Shoulder: Local Assessment Of Shoulder Transit Lane For Regional Buses In San Luis Obispo County, Jessica R. Berry

Master's Theses

The study looks at the applicability of integrating a Bus Only Shoulder (BOS) into the intermittently congested segment of US 101 in southern San Luis Obispo County. Policy, infrastructure and implementing criteria derived from case studies in Minnesota, Florida and California (San Diego) and the 2007 California Decision Document on BOS are applied to conditions in the region. One measure of performance, time savings, is projected to 2025 to determine the value of integrating the program by that horizon year. Given the substantial potential for time savings in that future year, recommendations are made to create the appropriate policy and …

Temperature Influence And Heat Management Requirements Of Microalgae Cultivation In Photobioreactors, Thomas Hagen Mehlitz

Master's Theses

Microalgae are considered one of the most promising feedstocks for biofuel production for the future. The most efficient way to produce vast amounts of algal biomass is the use of closed tubular photobioreactors (PBR). The heat requirement for a given system is a major concern since the best algae growth rates are obtained between 25-30 °C, depending on the specific strain. A procedure to determine temperature influence on algal growth rates was developed for a lab-scale PBR system using the species Chlorella. A maximum growth rate of 1.44 doublings per day at 29 °C (optimal temperature) was determined. In addition, …