Advanced Authentic Research


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Analyzing Different Prime Factorization Algorithms

In this project, I am researching and analyzing different prime factorization algorithms. After making a list of different algorithms, I will figure out the time complexity. Then, I will code the algorithm and retrieve real running time on variously sized input data sets. After collecting my data, I will compare each algorithm and extrapolate the existence of "fast" factorization algorithm.

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An Empirical Approach to the Measurement Problem of Quantum Mechanics

I am exploring measurement collapse, where a particle tends to instantaneously fall into a definite state only after being observed by a measuring device or conscious being. Since the 1920s, many interpretations on how to explain how and why this behavior occurs have been presented. However, the quantum mechanics community has not been able to determine which interpretation is most accurate. This project will focus on one of these interpretations, "simultaneous localization," which holds that collapse occurs randomly and without the need for measurement. This project will utilize the IBM Q Experience 5-qubit quantum computer to empirically simulate the simultaneous localization measurement process. To simulate this interpretation, we will observe what occurs to the uncertainty in spin of two multi-particle entangled systems with opposing spin. In this particular situation, the simultaneous localization interpretation and the accepted orthodox interpretation of measurement differ. If we can analyze which interpretation more closely matches particle behavior in this scenario, we can get begin to determine which interpretations are most accurate.

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Identifying Effective Sensor and Algorithm Pairs for Obstacle Avoidance in Self-Driving Cars

For my project, i will be testing 3 different sensors. 2 of these sensors are currently used in self-driving technology; however, the third sensor--a heat sensor--will be used as well. I will be coding the algorithm and testing the different sensor and algorithm pairs in an obstacle course. I will be observing the time it takes in order to complete the course and also to see how many obstacles the car hit.

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RNA Folding with CoFold

My project involves simulating RNA cotranscriptional folding to find certain conditions that allow folding into specific shapes. These shapes can be used to create nanoscale devices such as motors or logic gates. They have implications in the industrial and medical fields, such as for manufacturing or drug delivery.

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How Stealth Aircraft Can Reduce the Cross-Section of Sensor Fusion

I am building my own sensor fusion comprised of ultrasonic, sonar, and infrared sensors. Afterward, I will build my own stealth aircraft from scratch and tweak the structure to test methods for helping the aircraft evade detection by the sensor fusion. Aerodynamics, engine emission, and skin coating will be the three main factors I will be testing.

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Dioxin and Immunosuppression

Dioxin is a dangerous environmental toxin that is a byproduct of chemical manufacturing processes. Notoriously known as a component of Agent Orange, an herbicide used to clear out trees during the Vietnam War, this chemical has been found to cause health defects in Vietnam War veterans and Vietnamese civilians even to this day. I am researching how dioxin suppresses the immune system and what has been done to alleviate or remove the source of dioxin’s immunosuppressive effects.

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Using a Neural Network to Predict Social Media Reactions to the Aesthetic Qualities of an Image

The goal of this project is to build a computational model to predict how many “likes” images will get from users of social media. The model will be trained and tested for accuracy by using data sourced from social networks. This data may be collected automatically with a computer program. This work is intended to help content creators improve their products.

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Identifying an Effective Semantic Segmentation Algorithm for Deforestation Analysis

The purpose of this project is to implement a method for analyzing changes in land cover due to deforestation in the United States. Previously, the USDA used decision-tree classification in semantic segmentation (i.e., labelling of each pixel in an image with a category label) to assess land cover change. However, deep learning has recently become popular, and it has yet to be applied successfully to deforestation analysis. The proposed algorithm incorporates convolutional neural networks, but with an additional filter, called atrous convolutions. These filters are dilated in order to achieve a broader view of the scene or image.

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Applications of AI in the Medical Field

As artificial intelligence is used more and more, people are starting to explore how AI can be used on the medical field. However, AI still makes errors, which means that we must improve AI and tailor its application so that it can be as effective as possible. If used effectively, this can help improve the accuracy and efficiency of diagnosis and other processes, drastically improving medical research.

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Relationships between Sleep Patterns in Introversion/Extroversion

I will conduct a survey using verified tools to determine whether a person expresses morningness or eveningness. In simple terms, one who expresses morningness tends to work better in the morning, and one who expresses eveningness tends to work better in the evening. I will use this in conjunction with another tool to determine whether a person is an introvert or extrovert. These two sets of data will help me find correlations between M/E and introversion/extroversion.


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