Travel Mode Identification With Smartphone Sensors, 2017 The Graduate Center, City University of New York
Travel Mode Identification With Smartphone Sensors, Xing Su
All Graduate Works by Year: Dissertations, Theses, and Capstone Projects
Personal trips in a modern urban society typically involve multiple travel modes. Recognizing a traveller's transportation mode is not only critical to personal context-awareness in related applications, but also essential to urban traffic operations, transportation planning, and facility design. While the state of the art in travel mode recognition mainly relies on large-scale infrastructure-based fixed sensors or on individuals' GPS devices, the emergence of the smartphone provides a promising alternative with its ever-growing computing, networking, and sensing powers. In this thesis, we propose new algorithms for travel mode identification using smartphone sensors. The prototype system is built upon the ...
Computational Analysis Of Cryptic Splice Sites, 2017 San Jose State University
Computational Analysis Of Cryptic Splice Sites, Remya Mohanan
DNA in the nucleus of all eukaryotes is transcribed into mRNA where it is then translated into proteins. The DNA which is transcribed into mRNA is composed of coding and non-coding regions called exons and introns, respectively. It undergoes a post-trancriptional process called splicing where the introns or the non-coding regions are removed from the pre-mRNA to give the mature mRNA. Splicing of pre-mRNAs at 5 ́ and 3ˊ ends is a crucial step in the gene expression pathway. The mis-splicing by the spliceosome at different sites known as cryptic splice sites is caused by mutations which will affect the primary ...
Comparing Authentic And Cryptic 5’ Splice Sites Using Hidden Markov Models And Decision Trees, 2017 San Jose State University
Comparing Authentic And Cryptic 5’ Splice Sites Using Hidden Markov Models And Decision Trees, Pratikshya Mishra
Splicing is the editing of the precursor mRNA produced during transcription. The mRNA contains a large number of nucleotides in the introns and exons which are spliced to remove the introns and bind the exons to produce the mature mRNA which is translated to generate proteins. Hence accurate splicing at 5’ and 3’ splice sites (authentic splice sites (AuthSS)) is of foremost importance. The 5’ and 3’ splice sites are characterized by consensus sequences. Eukaryotic genome also contains splice sites known as Cryptic Splice Sites (CSS) that match the consensus. But the CSS are activated only when there is a ...
Application Of Computational Methods To Study The Selection Of Authentic And Cryptic Splice Sites, 2017 San Jose State University
Application Of Computational Methods To Study The Selection Of Authentic And Cryptic Splice Sites, Tapomay Dey
Proteins are building blocks of the bodies of eukaryotes, and the process of synthesizing proteins from DNA is crucial for the good health of an organism . However, some mutations in the DNA may disrupt the selection of 5’ or 3’ splice sites by a spliceosome. An important research question is whether the disruptions have a stochastic relation to the position of nucleotides in the vicinity of the known authentic and cryptic splice sites. This can be achieved by proving that the authentic and cryptic splice sites are intrinsically different. However, the behavior of the spliceosome is not accurately known ...
Scoring Scene Symmetry, 2017 McGill University
Scoring Scene Symmetry, Morteza Rezanejad, John D. Wilder, Sven Dickinson, Allan Jepson, Dirk B. Walther, Kaleem Siddiqi
No abstract provided.
Image Segmentation Using De-Textured Images, 2017 Utah State University
Image Segmentation Using De-Textured Images, Yaswanth Kodavali
All Graduate Plan B and other Reports
Image segmentation is one of the fundamental problems in computer vision. The outputs of segmentation are used to extract regions of interest and carry out identification or classification tasks. For these tasks to be reliable, segmentation has to be made more reliable. Although there are exceptionally well-built algorithms available today, they perform poorly in many instances by producing over-merged (combining many unrelated objects) or under-merged (one object appeared as many) results. This leads to far fewer or more segments than expected. Such problems primarily arise due to varying textures within a single object and/or common textures near borders of ...
Target Detection With Neural Network Hardware, 2017 University of Tennessee, Knoxville
Target Detection With Neural Network Hardware, Hollis Bui, Garrett Massman, Nikolas Spangler, Jalen Tarvin, Luke Bechtel, Kevin Dunn, Shawn Bradford
University of Tennessee Honors Thesis Projects
No abstract provided.
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, 2017 University of Arkansas, Fayetteville
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, Silas B. Lankford
Computer Science and Computer Engineering Undergraduate Honors Theses
There is a lack of data in recent history of food terrorism attacks, and as such, it is difficult to predict its impact. The food supply industry is one of the most vulnerable industries for terrorist threats while the poultry industry is one of the largest food industries in the United States. A small food terrorism attack against just a single poultry processing center has the potential to affect a much larger population than its immediate consumers. In this work, the spread of foodborne pathogens is simulated in a poultry production and processing system to defend against intentional contamination. An ...
Recommender Response To Diversity And Popularity Bias In User Profiles, 2017 Boise State University
Recommender Response To Diversity And Popularity Bias In User Profiles, Sushma Channamsetty, Michael D. Ekstrand
Michael D. Ekstrand
Osspal: Finding And Evaluating Open Source Software, 2017 Carnegie Mellon University
Osspal: Finding And Evaluating Open Source Software, Anthony Wasserman
Socket Golf - Building A Google Cardboard Game In Unity, 2017 University of Wyoming
Socket Golf - Building A Google Cardboard Game In Unity, Caleb P. Carlson
Honors Theses AY 16/17
Virtual reality is a new and emerging technology in the field of computer science designed to immerse the consumer into the product. To study and learn more about this technology, a four-person team of graduating seniors set out to build a mobile game for Google Cardboard. The game that was created uses the Unity game engine along with Unity multiplayer servers for the development tools. The application was designed to be run using both a Google Cardboard headset and an android controller to allow the user to control the game without removing themselves from the immersive experience.
The idea for ...
Patch-Based Denoising Algorithms For Single And Multi-View Images, 2017 The University of Western Ontario
Patch-Based Denoising Algorithms For Single And Multi-View Images, Monagi H. Alkinani
Electronic Thesis and Dissertation Repository
In general, all single and multi-view digital images are captured using sensors, where they are often contaminated with noise, which is an undesired random signal. Such noise can also be produced during transmission or by lossy image compression. Reducing the noise and enhancing those images is among the fundamental digital image processing tasks. Improving the performance of image denoising methods, would greatly contribute to single or multi-view image processing techniques, e.g. segmentation, computing disparity maps, etc. Patch-based denoising methods have recently emerged as the state-of-the-art denoising approaches for various additive noise levels. This thesis proposes two patch-based denoising methods ...
Cedarlogic 2.0 Update, 2017 Cedarville University
Cedarlogic 2.0 Update, Colin Broberg, Julian Pernia, Tyler Drake, James Von Eiff
The Research and Scholarship Symposium
CedarLogic is the Cedarville University’s student-developed, digital logic simulator. Engineering and Computer Science students use this software for several of their classes. Our primary goal for this update is adding black boxes, buses, and cross-platform compatibility. Our additional improvements in user-friendliness and functionality will give students an improved CedarLogic experience.
The Bible Story Producer App, 2017 Cedarville University
The Bible Story Producer App, Michael D. Baxter, Noah W. Bragg, Grant W. Dennison, Robert J. Jacubec, Andrew D. Lockridge, Abigail M. Riffle
The Research and Scholarship Symposium
The Bible Story Producer team at Cedarville University has been spending the past year on the Bible Story Producer app for Android. This app is a tool whose purpose is to facilitate the translation of Bible stories by bilingual laypersons in places where the Bible is unavailable in the vernacular. The aim of the app is to facilitate the oral translation of Bible stories transmitted as templates consisting of voice narration in a Language of Wider Communication (LWC). The narration is accompanied by a series of high-quality illustrations animated by the Ken Burns (pan and zoom) effect. An instance of ...
The Chess Puzzle Lock Screen, 2017 Lynchburg College
The Chess Puzzle Lock Screen, Ryan J. Hayes
Student Scholar Showcase
The Chess Puzzle Lock Screen
Many times each day, owners of cellphones use their phone’s lock screen in order to access their device. The goal of this project has been to take advantage of the action of unlocking one’s device by incorporating an element of self-help into the process. Every time a user who is interested in learning a new field attempts to access their device, that user is faced with a problem pertaining to a subject they are interested in learning more about. After many repetitions of this scenario, the user will have increased their understanding of ...
Optimization Of A Reporting Process With Input From Multiple Systems, 2017 Western Oregon University
Optimization Of A Reporting Process With Input From Multiple Systems, Cheri R. Freedman
Student Theses, Papers and Projects (Computer Science)
This project involves the research, development, and improvement of a reporting process used to generate reports in adherence to contractual and legislative requirements. The project will review the beginning process, the proposed and implemented solutions, and the future of the project. The project addresses the goals of data quality, timeliness, and transparency throughout the paper including how they relate to the challenges, solution selection, and overall success of the project. The need for this project reflects the ongoing need for and some of the challenges that are typical of automation and systems integration in state government entities. As the role ...
Mixed-Initiative Personal Assistants, 2017 University of Dayton
Mixed-Initiative Personal Assistants, Joshua W. Buck, Saverio Perugini
Computer Science Faculty Publications
Specification and implementation of flexible human-computer dialogs is challenging because of the complexity involved in rendering the dialog responsive to a vast number of varied paths through which users might desire to complete the dialog. To address this problem, we developed a toolkit for modeling and implementing task-based, mixed-initiative dialogs based on metaphors from lambda calculus. Our toolkit can automatically operationalize a dialog that involves multiple prompts and/or sub-dialogs, given a high-level dialog specification of it. Our current research entails incorporating the use of natural language to make the flexibility in communicating user utterances commensurate with that in dialog ...
Iota Pi Application For Ios, 2017 California Polytechnic State University, San Luis Obispo
Iota Pi Application For Ios, Deborah Newberry
Kappa Kappa Psi is a national honorary fraternity for college band members. They meet every Sunday night, and during these meetings they plan events (both internal and external) that aim to meet our goal of making sure that the Cal Poly band programs have their social, financial, material, and educational needs satisfied. This paper details the steps I took to create an application for them to use internally to help ease organizational processes.
Gpumap: A Transparently Gpu-Accelerated Map Function, 2017 California Polytechnic State University, San Luis Obispo
Gpumap: A Transparently Gpu-Accelerated Map Function, Ivan Pachev
Master's Theses and Project Reports
As GPGPU computing becomes more popular, it will be used to tackle a wider range of problems. However, due to the current state of GPGPU programming, programmers are typically required to be familiar with the architecture of the GPU in order to effectively program it. Fortunately, there are software packages that attempt to simplify GPGPU programming in higher-level languages such as Java and Python. However, these software packages do not attempt to abstract the GPU-acceleration process completely. Instead, they require programmers to be somewhat familiar with the traditional GPGPU programming model which involves some understanding of GPU threads and kernels ...
Scripts For Recommender Response To Diversity And Popularity Bias In User Profiles, 2017 Boise State University