Physical Sciences and Mathematics Commons^™

Statistical Techniques To Model And Optimize Performance Of Scientific, Numerically Intensive Workloads, Steena Dominica Steven Monteiro

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Projecting performance of applications and hardware is important to several market segments—hardware designers, software developers, supercomputing centers, and end users. Hardware designers estimate performance of current applications on future systems when designing new hardware. Software developers make performance estimates to evaluate performance of their code on different architectures and input datasets. Supercomputing centers try to optimize the process of matching computing resources to computing needs. End users requesting time on supercomputers must provide estimates of their application’s run time, and incorrect estimates can lead to wasted supercomputing resources and time. However, application performance is challenging to predict because it is …

Translating Temporal Sql To Nested Sql, Venkata Rani

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Sequenced and nonsequenced semantics are the two previously researched semantics for the evaluation of an operation in a temporal database such as a query or data modification. Sequenced semantics evaluates an operation in each time instant using only the data alive at that time. Nonsequenced semantics, in contrast, means that an operation explicitly references and manipulates the timestamps in the data.

In this thesis we propose a new framework that shows both semantics are variants of a general temporal semantics. We present the general semantics and show how additional semantics, such as preceding semantics can be realized. The semantics are …

Toward A General Parametric Model For Assessing The Impact Of Video Transcoding On Objective Video Quality, Nawaf Omar N. Alsrehin

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The ultimate goal of any video delivery system is to allow any user to watch any video of any kind on any display device over any type of network with a desired output, i.e., viewing codec with preferred quality of service. This could theoretically require 1032 video transcoding functions that convert any original video to any desired output. Guaranteeing a required format and preferred quality of service of the perceived video requires selecting or composing a set of transcoding functions that satisfy the requested format and preferred quality of service. An effective way to accomplish this is by allowing the …

Cluster-Based Salient Object Detection Using K-Means Merging And Keypoint Separation With Rectangular Centers, Robert Buck

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The explosion of internet traffic, advent of social media sites such as Facebook and Twitter, and increased availability of digital cameras has saturated life with images and videos. Never before has it been so important to sift quickly through large amounts of digital information. Salient Object Detection (SOD) is a computer vision topic that finds methods to locate important objects in pictures. SOD has proven to be helpful in numerous applications such as image forgery detection and traffic sign recognition. In this thesis, I outline a novel SOD technique to automatically isolate important objects from the background in images.

Vision Based Extraction Of Nutrition Information From Skewed Nutrition Labels, Tanwir Zaman

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Vision-based extraction of nutritional information from nutrition labels (NLs) available on most product packages is critical to proactive nutrition management, because it improves the user’s ability to engage in continuous nutritional data collection and analysis. However, even users who are health conscious find it difficult to keep track of their nutrition intake due to lack of time, motivation, or training. In order to make nutrition management more proactive we present a Proactive NUTrition Management System (PNUTS), which aims to make nutrition management more user friendly and proactive using computer vision techniques running on smartphones which are ubiquitous and powerful computers …

Exploiting Self-Organization In Bioengineered Systems: A Computational Approach, Delin Davis

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Bio-reactors, also known as microbial factories are used extensively to produce various industrially valuable products. However, scalability and stability of these factories are limited as it is difficult to deliver nutrients and extract product and waste from a large system. Current solution approaches explore changes in the physical configuration of the bio-reactors. Inspired from the nutrient delivery mechanisms of large organisms in nature, this work studies the possibilities of exploiting self-organizing bio-engineered cells which are capable of organizing into a vessel network to support the producer cells in the factory.

Primary goal of this dissertation is to design a proof-of-concept …

Hidden History: A Mobile Application For Discovering Surrounding Landscapes, Sri Ram Ramineni

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This thesis work describes the design, development and evaluation of a mobile application called Hidden History. This application lets users discover and explore three types of landscapes (Historic, Scenic and Cultural) using three different modes of discovery (Route, Explore and Tour).

Before designing Hidden History, the feature set of other applications that help users explore surrounding landscapes were identified and analyzed. Hidden History was then designed to implement the best features of these applications and offer several functionality improvements. Design began with iterative paper prototyping, following which a high fidelity, digital prototype was created. The high fidelity prototype was tested …

Fake Likers Detection On Facebook, Prudhvi Ratna Badri Satya

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

As billions of users have used online social networks such as Facebook, Twitter, and Instagram, many online services have begun adapting signals of the popularity. For example, search engines rank popular users posts in the top results. A post of a popular user is automatically delivered to the followers or likers. Popular companies in online social networks also get good reputation from people. The popularity on Facebook is measured based on the number of likes in a page. Unfortunately, some crowdsourcing websites (e.g.Microworkers.com) or supply-driven marketplaces (e.g.Fiverr.com) began offering fake liking services in which these crowd workers sent fake likes …

Interference Mitigation In Multi-Hop Wireless Networks With Advanced Physical-Layer Techniques, Yantian Hou

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

With the ever-growing number of wireless systems, the problem of spectrum scarcity is becoming more important than ever. Many devices coexist in the same frequency band, e.g., IEEE 802.11 (WiFi), 802.15.4 (ZigBee), 802.16 (WiMax), and Bluetooth in the ISM bands. Coexisting in the crowded spectrum bands inevitably leads to mutual interferences. For a wireless network, the interference could be from external sources such as microwave oven and cordless phone, or from internal nodes within multi-flow and multi-hop wireless networks. All these interferences can be detrimental to the performance of co-locating networks if they are not properly mitigated. In my dissertation, …

Motionscan: Towards Brain Concussion Detection With A Mobile Tablet Device, Shantanu Saxena

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This thesis reports on a study to determine the viability of using a mobile tablet device as a brain concussion detection tool. The research builds upon the results of a prior method of collecting data for measuring motion sensitivity, where a user presses and releases a force sensor to balance a rising and falling line on a computer display. The motion sensitivity data collected using this force sensor device was shown to have less irregularity in persons with concussion. The MotionScan application, developed for this research, uses the accelerometer of a tablet device to record motor movement of a user …