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- Creator:
- Watson, Andrea
- Description:
- Photobiomodulation has been shown to reduce pain and expedite wound healing in animals. To determine the influence the canine's age has on the therapeutic effect of photobiomodulation after dental prophylaxis a low energy GaAlInP laser with a continuous 650 nm wavelength and 100 mW power output was used. Owners had the option to enroll their canine (n = 24) in the study if they were receiving an anesthetized dental treatment. During the post-operative recovery, each patient received irradiation (10 J/cm2) as a member of one of three randomly assigned treatment groups. One group (n = 7) received four treatment points of irradiation on the gingiva of the right upper and lower dental arcade, one group (n = 8) received four treatment points of irradiation on the gingiva of the left upper and lower dental arcade, and one group (n = 9) received a mock gingiva treatment without irradiation. Inflammation and erythema along the gingival treatment area of each canine was scored 24 hours after treatment by a blinded veterinary evaluator in person or via photograph. The data from this study indicates a trend of higher evaluation scores with increasing age of the canine patient. The data also illustrates lower evaluation scores for the canine patients who received photobiomodulation therapy following dental prophylaxis.
- Resource Type:
- Poster, Abstract, Presentation, and Student Research
- Campus Tesim:
- Pomona
2. Self-Assembled Microsphere Based Lithography of Tmeplate to Fabricate Gecko-Like Synthetic Adhesive
- Creator:
- Wills, Frank, Hirokawa, Brent, Lim, Jade, and Galotra, Rohan
- Description:
- Gecko-like synthetic adhesives (GSAs) are dry adhesives that replicate the function of gecko toepads through their microscopic fibrillar structure. To produce GSA molds, we fabricated Si templates using microsphere lithography. We formed a monolayer of polystyrene microspheres using colloidal self-assembly, then transferred this mask to a Si wafer. Next, we sputtered Au onto the mask and substrate and removed the microspheres using ultrasonication. The resulting Au-patterned Si wafer was exposed to a chemical etch to remove the uncoated material, forming deep pits in the Si surface. This surface structure forms a template for the fabrication of soft polymer molds that can be used to fabricate GSAs.
- Resource Type:
- Poster, Student Research, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Magat, Paula Marie
- Description:
- Depleting fossil fuels has been an undergoing issue that calls for the attention of many scientists around the world, as the demand for it increases with the increasing population. Thus, various types of renewable energy sources are being studied and evaluated to determine which can accommodate the world's growing demand. For this particular study, biomass-derived substitute for aromatic compounds is being investigated, particularly biomass derived from lignin. Lignin, a complex organic polymer is one of the major components that makes up the structure of plants and wood. If broken down into simpler molecules, lignin could potentially provide a substitute for aromatic compounds, a major constituent of petroleum, which are used in variety of materials. In order to break down lignin into simpler compounds, a catalyst is essential. However, different catalysts break down lignin into different compounds, and another issue associated with biomass-derived materials is the presence of oxygen in the biomass-derived compounds. Whereas, fossil-derived compounds are mainly composed of hydrocarbons. Hence, the goal of the study is to determine whether a molybdenum catalyst can break down lignin into useful aromatics. Our findings along these lines will be discussed.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Hughes, David
- Description:
- In this poster, I present some of the work that I have done on Apache Spark implementations of randomized Linear Algebra: randomized SVD and randomized QB factorization. The field of randomized Linear Algebra has expanded rapidly in the last decade in response to the challenge of Big Data and the need for computationally efficient solutions in this realm. Probabilistic algorithms that derive a smaller matrix approximation from a higher-dimensional matrix have been shown to have both theoretical and empirical success. I seek to take advantage of the Apache Spark Big Data processing engine, in particular the GraphX library, to efficiently compute these various probabilistic algorithms in a distributed manner. Moreover, GraphX provides the graph-and-data parallel processing abstraction that I attempted to build an effective and scalable solution on top of. Finally, I verify the algorithms in a local manner and benchmark them on a large matrices to demonstrate the correctness and effectiveness of the implementations.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Haideri, Hana, Caudle, Mitchell, Sherman, Tristan, and Lopez, Jimmy
- Description:
- If UAVs are to be successfully integrated into U.S. national airspace, the ability to perform autonomous collision avoidance between both manned and unmanned aircraft is a necessity. This poster presents a method for collision avoidance utilizing Automatic Dependent Surveillance - Broadcast (ADS-B) transponders which will be required in all manned aircraft by 2020. These devices broadcast and receive global position of all similarly equipped aircraft in a 100-nautical mile vicinity. A Sig Kadet Senior and a Hangar 9 Valiant fixed wing aircraft are used as flight platforms to test autonomous collision avoidance. These aircraft will include ADS-B transponders, a Pixhawk autopilot and an Intel NUC as the primary components of the avionics system. The uniquely developed algorithm is compiled in a Linux environment and uses MAVLink protocols to send off-board commands to the autopilot. The collision avoidance algorithm uses kinematic and circular motion equations to predict the future positions of both aircraft and employ an avoidance maneuver at a constant altitude. This system is demonstrated through simple ground tests, and subsequently moving on to full-system flight tests.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Traylor, Allison, Vagenas, Christina, and Christensen, Rachel
- Description:
- There are over 400 different breeds of the domestic horse (Equus ferus caballus), each selectively bred for a purpose. Breed differences frequently result in a distinctive gait, or body movement. Individual horses may also have gait variations that differ from other members of that breed. When put under a saddle, these gait movements result in an altered experience for the rider, with some gaits causing increased jostling or rider movement. The utility of a horse for a specific assisted therapy discipline is dependent, in part, on the impact, or bounce factor experienced while riding that horse. We analyzed the gait of horses and created a formula to predict, based on the gait, the degree of bounce factor that would be experienced on that horse. This formula will allow breeders, riders, and trainers working with a horse to quickly and objectively select the discipline best suited for that horse without needing to ride, and subjectively assign the horse to a discipline.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Lee, Yoo Jin
- Description:
- An important factor of typography is the rules that dictate good type treatment. This, however, does not mean good design. My project is a book I created that shows my journey to find the perfect form of typography and how I come to achieve perfection. This books shows the research I've put in to create the perfect form of typography as a designer. The book is an in-depth exploration of typographic nomenclature and its application to live copy, grid systems, and complex hierarchy. Composition is explored, from simple to complex text type, as an avenue for expressive typography.
- Resource Type:
- Abstract, Poster, Presentation, and Student Research
- Campus Tesim:
- Pomona
- Creator:
- Rivera, Ernie, Herrera, Antonio, Llacsa, Karen, and Ozen, Emre
- Description:
- Unmanned Aerial Systems (UASs) can be cost effective and efficiently used for indoor search and rescue missions. These environments pose dangerous and risky scenarios for rescue personnel. UASs can locate and assist victims that are in need during the event of natural disaster with increased safety and low response time, without posing any danger to the rescuers. However, the lack of GPS signal in the indoor environments poses many difficulties for the use and navigation of these systems. A team from Cal Poly Pomona is using two small unmanned aerial systems, one for search and another for rescue, that can help mitigate this problem. The search UAS, a quadcopter, uses a front-facing camera for the detection of victims, a Pixhawk flight controller, and ultrasonic sensors for collision detection. Using computer vision and machine learning, the search quadcopter navigates through the indoor environments and identifies survivors of disaster, and then relays this information to the rescue UAS, also a quadcopter, via a ground control station (GCS). The rescue quadcopter then navigates to the location of the victim and releases the payload. The use of multiple unmanned aerial systems, allow for smaller, lighter, and more agile vehicles to perform better distribution of tasks. This presentation will discuss how the UASs will be able to fly autonomously within GPS-denied environments while detecting victims using artificial neural networks.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona
- Creator:
- Wu, Ruifan
- Description:
- machine learning is an idea that feeding data to the machine model and it builds it own logic based on the data, and thus is able to generate results that approximate the aimed result. In this visual preference research, the goal is to train a machine model that can recognize people's faces. The model is named ResNet50, which is a Deep Convolutional Network model that is used to perform image classification task. The dataset includes 5500 people's face images that have a score of 1 through 5 of how attractive they are. Through using python, the dataset is preprocessed and the machine model is feed with those images. After 30 epoch of training and 200 times of validation set, the ResNet50 is able to score human face that closely approximates the scores of images were tagged.
- Resource Type:
- Abstract, Poster, Presentation, and Student Research
- Campus Tesim:
- Pomona
- Creator:
- Sanabria, Brandon
- Description:
- Oxidation is a corrosion phenomenon where metals degrade by reacting with their surrounding environment. There is always a need for better and more durable metals that can be used to create load-bearing structures. The objective of this project was to expose steels with different carbon contents to air at various temperatures and to analyze the microstructures of the oxidized materials. This analysis is expected to yield insights into the oxidation behavior. This presentation will report on the results of oxidation experiments on different carbon steels and microstructures obtained using optical and scanning electron microscopy will be presented. The effect of carbon content on the oxidation resistance of carbon steels will be reported. Learning outcomes and skills obtained as a result of this summer research experience will also be mentioned.
- Resource Type:
- Student Research, Poster, Presentation, and Abstract
- Campus Tesim:
- Pomona