Browsing Undergraduate Research Scholars Capstone (2006–present) by Department "Computer Science and Engineering"
Now showing items 1-20 of 70
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Current, most 3D semantic segmentation models for autonomous driving are mainly trained on spinning Light Detection And Ranging (LiDAR) data because spinning LiDAR sensors have been one the most popular sensors for autonomous ...
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3D Printing is a growing field of interest, with research topics and commercial advancements in materials, processes, and systems. One of these advancements is the introduction of Independent Dual Extrusion (IDEX) Fused ...
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As the Large Hadron Collider undergoes upgrades to increase luminosity, more detectors and faster data processing is needed. The X2O is a custom electronics board to support operations in the Endcap Muon System of the ...
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The ability to reason about other agents' beliefs has many applications in multi-agent systems, including facilitating coordinated behavior, teamwork, and information exchange. Modal logics are commonly used to formally ...
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TnSeq is a genetic method used to evaluate the essentiality of genes in bacteria, such as Mycobacterium tuberculosis. It uses random insertions by the Himar1 transposon and high throughput sequencing to determine the most ...
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(2021-05-03)There is no world without energy. Dependence on energy continues to dominate everything that we do. It is known that any failure in the production of energy can directly affect thousands of lives. Because of this, data is ...
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Fluids such as gases and liquids are often animated through physically based techniques rather than manually. While this method can generate highly detailed fluids without tedious work from an artist, it also diminishes ...
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A common approach to distributing work to be completed simultaneously among different robots is called Multi-Robot Task Allocation. Particularly in a path planning scenario, two robots are assigned tasks to drive to two ...
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(2014-09-22)In recent years, there have been incentives to move towards the Free Flight concept in aviation due to advances in technology and increasing air traffic. Free Flight proposes a distributed cooperative strategy based on ...
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(2013-02-06)Rapidly-Exploring Random Trees (RRTs) have been successful at finding feasible solutions for high-dimensional problems. With motion planning becoming more computationally de- manding, we turn to parallel motion planning ...
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Neural Architecture Search has led to the discovery of novel neural network architectures that are capable of outperforming expertly designed architectures with fewer resource requirements at deployment time. This has lead ...
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Motion planning simply stated is defined as finding a collision-free path between a start and a goal for a movable object, such as a robot. Motion planning is often applied to interactions between robot arms, or between a ...
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(2014-02-03)Comparing a set of similar texts, often called collation, gives a scholar insight into the author's thoughts and motives and into the culture of the time period. Multiple editions can be published by an author for a diverse ...
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A key aspect of 3D animation is physics based simulation. To create realistic animations for objects such as cloth and fabric, a category of mathematical models known as softbody simulations are used. There are a wide ...
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Comparative Analysis of Error Correction in High-throughput Sequences for the Human Gut Microbiome With the development of high-throughput sequencing tools over the last few decades, the sequencing of genomic data at a large scale at a relatively low cost has drastically revolutionized the field of bioinformatics. ...
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(2014-09-20)The remarkable development of embedded computing devices in the past few decades has greatly improved the computing ability of our embedded and mobile devices. Mobile phones, for example, have developed from simple telephony ...
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(2014-09-30)In this work we present a behavioral modeling framework that accounts for a battery constraint. This framework allows for a user to model robot teams of varying configuration performing com- mon robotic tasks such as ...
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Graphs are a widely used tool in modeling social interaction networks. In a network that consists of authors and posts with time-stamped interactions between one post and one author, we can model the network as a bipartite ...
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(2021-05-03)Multi-Producer Multi-Consumer (MPMC) Queues are the most natural way to solve the common parallel programming Producer-Consumer Problem. The problem arises when a group of entities need work to be done, and another group ...
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Previously many studies have aimed at predicting the trend of a disease through time series forecasting using machine learning methods. However, data extracted from the real world is often noisy, which can pose numerous ...