Computer Sciences Commons^™

Orientation Invariance Methods For Inertial Gait, Ravichandran Subramanian

USF Tampa Graduate Theses and Dissertations

Intelligent devices such as smart phones, smart watches, virtual reality (VR) headsets and personal exercise devices have become integral elements of accessories used by many people. The ability of these devices to verify or identify the user could be applied for enhanced security and user experience customization among other things. Almost all these devices have built-in inertial sensors such as accelerometer and gyroscope. These inertial sensors respond to the movements made by the user while performing day to day activities like walking, getting up and sitting down. The response depends on the activity being performed and thus can be used …

Two Critical Positions In Zinc Finger Domains Are Heavily Mutated In Three Human Cancer Types, Daniel Munro, Dario Ghersi, Mona Singh

Interdisciplinary Informatics Faculty Publications

A major goal of cancer genomics is to identify somatic mutations that play a role in tumor initiation or progression. Somatic mutations within transcription factors are of particular interest, as gene expression dysregulation is widespread in cancers. The substantial gene expression variation evident across tumors suggests that numerous regulatory factors are likely to be involved and that somatic mutations within them may not occur at high frequencies across patient cohorts, thereby complicating efforts to uncover which ones are cancerrelevant. Here we analyze somatic mutations within the largest family of human transcription factors, namely those that bind DNA via Cys2His2 zinc …

A Quantitative Analysis Of Shape Characteristics Of Marine Snow Particles With Interactive Visualization: Validation Of Assumptions In Coagulation Models, Palak P. Dave

USF Tampa Graduate Theses and Dissertations

The Deepwater Horizon oil spill that started on April 20, 2010, in the Gulf of Mexico was the largest marine oil spill in the history of the petroleum industry. There was an unexpected and prolonged sedimentation event of oil-associated marine snow to the seafloor due to the oil spill. The sedimentation event occurred because of the coagulation process among oil associated marine particles. Marine scientists are developing models for the coagulation process of marine particles and oil, in order to estimate the amount of oil that may reach the seafloor along with marine particles. These models, used certain assumptions regarding …

Contact Prediction Is Hardest For The Most Informative Contacts, But Improves With The Incorporation Of Contact Potentials, Jack Holland, Qinxin Pan, Gevorg Grigoryan

Dartmouth Scholarship

Co-evolution between pairs of residues in a multiple sequence alignment (MSA) of homologous proteins has long been proposed as an indicator of structural contacts. Recently, several methods, such as direct-coupling analysis (DCA) and MetaPSICOV, have been shown to achieve impressive rates of contact prediction by taking advantage of considerable sequence data. In this paper, we show that prediction success rates are highly sensitive to the structural definition of a contact, with more permissive definitions (i.e., those classifying more pairs as true contacts) naturally leading to higher positive predictive rates, but at the expense of the amount of structural information contributed …

Channel Camouflage And Manipulation Techniques In Wireless Networks, Song Fang

USF Tampa Graduate Theses and Dissertations

The security of wireless networks and systems is becoming increasingly important as wireless devices are more and more ubiquitous nowadays. The wireless channel exhibits the spatial uncorrelation property, which is that the characteristics of a wireless channel become uncorrelated every half carrier wavelength over distance. This property has prompted an emerging research area that utilizes wireless channel characteristics to achieve location distinction, to detect location changes or facilitate authentication of wireless users, and to establish shared secret key between legitimate communicators. This dissertation includes two work toward the security improvement of existing wireless networks and systems. With the discovered channel …

Modeling Recombination In Solar Cells, Paul Chery

Macalester Journal of Physics and Astronomy

Solar cells are a competitive alternative to nonrenewable energy sources such as fossil fuels. However, the efficiency of these devices is limited by photogenerated carrier recombination. We use a finite difference numerical model to study recombination phenomena in the absorber layer of solar cells including alternate recombination models and the effects of spatial distribution of recombination centers. We compare the effect of using the constant lifetime approximation for recombination to the full Shockley-Read-Hall expression in Silicon solar cells and find that the constant lifetime approximation holds for high defect densities but not for high photon flux densities. Finally, we simulate …

Determining Level Of Cognitive Impairment Via Computing Fractals Using A Computer, Kodhanda Karthik Siriyala

USF Tampa Graduate Theses and Dissertations

Mild Cognitive Impairment is a condition that affects an individual's thinking and decision making capabilities. Specifically, it is one where an individual's capabilities of memorizing, thinking and decision making are less efficient when compared to others. In order to diagnose this condition, a conventional method is to provide the subject with a small challenge they should be completed using pen and paper. This thesis focuses on how this method can be converted to a computer based test. A data visualization tool named Processing has been used to develop a system that runs a game-like test, which is completed by individuals …

Borromean: Preserving Binary Node Attribute Distributions In Large Graph Generations, Clayton A. Gandy

USF Tampa Graduate Theses and Dissertations

Real graph datasets are important for many science domains, from understanding epidemics to modeling traffic congestion. To facilitate access to realistic graph datasets, researchers proposed various graph generators typically aimed at representing particular graph properties. While many such graph generators exist, there are few techniques for generating graphs where the nodes have binary attributes. Moreover, generating such graphs in which the distribution of the node attributes preserves real-world characteristics is still an open challenge. This thesis introduces Borromean, a graph generating algorithm that creates synthetic graphs with binary node attributes in which the attributes obey an attribute-specific joint degree distribution. …

Using Experiential Learning In Course Curriculum: The Case Of A Core Engineering Graphics Course, Martha Marie Snyder, Manuel Salinas, Molly J. Scanlon

CCAC Faculty Proceedings, Presentations, Speeches and Lectures

This work-in-progress paper overviews how an experiential education program was established at a private, non-profit university in the southeast, describes the process for certifying experiential courses using a formal course review process and qualification rubric, and details the case of a freshman engineering graphics course.

Grounded in the early works of Dewey, Lewin, and Piaget, experiential learning theory has become increasingly popular in higher education. Experiential learning serves as a foundation for lifelong learning and the development of the whole self as a citizen, family member and human being (Kolb, 2015). Austin and Rust (2015) define experiential learning as “‘hands-on’ …

Automatic Classification And Shift Detection Of Facial Expressions In Event-Aware Smart Environments, Arne Bernin, Larissa Müller, Sobin Ghose, Christos Grecos, Qi Wang, Ralf Jettke, Kai Von Luck, Florian Vogt

All Faculty Scholarship for the College of the Sciences

Affective application developers often face a challenge in integrating the output of facial expression recognition (FER) software in interactive systems: although many algorithms have been proposed for FER, integrating the results of these algorithms into applications remains difficult. Due to inter- and within-subject variations further post-processing is needed. Our work addresses this problem by introducing and comparing three post-processing classification algorithms for FER output applied to an event-based interaction scheme to pinpoint the affective context within a time window. Our comparison is based on earlier published experiments with an interactive cycling simulation in which participants were provoked with game elements …

Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas

Conference papers

To integrate perception into dialogue, it is necessary to bind spatial language descriptions to reference frame use. To this end, we present an analysis of discourse and situational factors that may influence reference frame choice in dialogues. We show that factors including spatial orientation, task, self and other alignment, and dyad have an influence on reference frame use. We further show that a computational model to estimate reference frame based on these features provides results greater than both random and greedy reference frame selection strategies.

Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran

The International Student Science Fair 2018

Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …

A Key Based Obfuscation And Anonymization Of Behavior Vhdl Models, Balausha Varshini Kandikonda

USF Tampa Graduate Theses and Dissertations

Intellectual Property (IP) based Integrated Circuit (IC) design is an established approach for the design of a complex System-on-Chip (SoC). Porting the preparatory designs to third-party without enough security margin exposes an attacker to perform reverse engineering (RE) on the designs and hence counterfeiting, IP theft etc., are common now-a-days. Design obfuscation can reduce RE attempt by an attacker. In this work, we propose a key based obfuscation and anonymization method for a behavioral IP. Given a behavioral VHDL description, the assignment and conditional statements are modified by incorporating random boolean operations with unique random key bits. The obfuscated VHDL …

A Study And Estimation A Lost Person Behavior In Crowded Areas Using Accelerometer Data From Smartphones, Mohammed Falfas, Sheikh Iqbal Ahamed, Chandana Tamma, Muhammad Arif, Ahmed Kattan, William Chu

Computer Science Faculty Research and Publications

As smartphones become more popular, applications are being developed with new and innovative ways to solve problems in the day-to-day lives of users. One area of smartphone technology that has been developed in recent years is human activity recognition (HAR). This technology uses various sensors that are built into the smartphone to sense a person's activity in real time. Applications that incorporate HAR can be used to track a person's movements and are very useful in areas such as health care. We use this type of motion sensing technology, specifically, using data collected from the accelerometer sensor. The purpose of …

Road Segmentation With Neural Networks, Tsz Hong Andy Lau

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Autonomous driving is the next biggest technological advance in the automobile industry. However, the current technology is still very much in its infancy. Networks of sensors such as cameras and LIDAR systems are used to record and measure the road condition. While neural networks are used to understand the road condition and make the correct decision to drive the vehicle. In this paper, we are specifically focusing on the road segmentation of autonomous vehicle technology. We will be going over the two approaches to road segmentation by Oliveira, et al [5] and Caltagirone, et al [2], and we will compare …

Climbing China's Great Firewall, Adam Casey

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Many different countries censor the internet within their state. Citizens frequently wish to avoid the state censorship. There are many different methods that have been developed to achieve this. Governments and citizens are in a constant arms race, with both developing opposing technologies. China in particular has the largest population of people on the planet, and the Chinese government attempts to censor the internet. This paper will investigate three methods of navigating around state censorship: Cachebrowser, INTANG and Tor. Cachebrowser and INTANG were developed specifically to navigate around state censorship while Tor was originally developed for anonymous browsing. This paper …

Querying Large Databases, Nathan Beneke

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

This paper investigates two approaches to improving query times on large relational databases. The first technique capitalizes on the knowledge of a database's structures and properties one typically has. This technique can execute some queries exactly in a constant, bounded amount of time. When this technique cannot be used to exactly execute a query we show how it can still be used to drastically lower the run-time on the query while getting a good approximation of the exact result. We also discuss the complexity of deciding whether a query is evaluable in this way, both theoretically and practically. The second …

Investigating On Through Glass Via Based Rf Passives For 3-D Integration, Libo Qian, Jifei Sang, Yinshui Xia, Jian Wang, Peiyi Zhao

Mathematics, Physics, and Computer Science Faculty Articles and Research

Due to low dielectric loss and low cost, glass is developed as a promising material for advanced interposers in 2.5-D and 3-D integration. In this paper, through glass vias (TGVs) are used to implement inductors for minimal footprint and large quality factor. Based on the proposed physical structure, the impact of various process and design parameters on the electrical characteristics of TGV inductors is investigated with 3-D electromagnetic simulator HFSS. It is observed that TGV inductors have identical inductance and larger quality factor in comparison with their through silicon via counterparts. Using TGV inductors and parallel plate capacitors, a compact …

Construction Of Red Fox Chromosomal Fragments From The Short-Read Genome Assembly, Halie M. Rando, Marta Farré, Michael P. Robson, Naomi B. Won, Jennifer L. Johnson, Ronak Buch, Estelle R. Bastounes, Xueyan Xiang, Shaohong Feng, Shiping Liu, Zijun Xiong, Jaebum Kim, Guojie Zhang, Lyudmila N. Trut, Denis M. Larkin, Anna V. Kukekova

Computer Science: Faculty Publications

The genome of a red fox (Vulpes vulpes) was recently sequenced and assembled using next-generation sequencing (NGS). The assembly is of high quality, with 94X coverage and a scaffold N50 of 11.8 Mbp, but is split into 676,878 scaffolds, some of which are likely to contain assembly errors. Fragmentation and misassembly hinder accurate gene prediction and downstream analysis such as the identification of loci under selection. Therefore, assembly of the genome into chromosome-scale fragments was an important step towards developing this genomic model. Scaffolds from the assembly were aligned to the dog reference genome and compared to the alignment of …

Precise, General, And Efficient Data-Flow Analysis For Security Vetting Of Android Apps, Fengguo Wei

USF Tampa Graduate Theses and Dissertations

This dissertation presents a new approach to static analysis for security vetting of Android apps, and a general framework called Argus-SAF. Argus-SAF determines points-to information for all objects in an Android app component in a flow and context-sensitive (user-configurable) way and performs data-flow and data dependence analysis for the component. Argus-SAF also tracks inter-component communication activities. It can stitch the component-level information into the app- level information to perform intra-app or inter-app analysis. Moreover, Argus-SAF is NDK/JNI- aware and can efficiently track precise data-flow across language boundary. This dissertation shows that, (a) the aforementioned type of comprehensive app analysis is …

Tanzanian Adolescents In The Digital Age Of Cell Phones And The Internet: Access, Use And Risks, Hezron Zacharia Onditi

Journal of Humanities and Social Sciences

This study explored cell phones and internet access, use, and potential risks among Tanzanian secondary school adolescents. A total of 778 students aged 14-18 in Form I to Form IV responded to a self-report questionnaire, and a subset of 20 participants participated in semi-structured interviews. Results revealed a remarkable uptake of cell phones and internet technologies among Tanzanian adolescents. In particular, whereas about 50% of the students reported to own cell phones (nearly 60% own simcards), 76% admitted using cell phones at home, and 86% reported to connect to the Internet. Results showed that male and older adolescents seem to …

Development Of A Slab-Based Monte Carlo Proton Dose Algorithm With A Robust Material-Dependent Nuclear Halo Model, John Wesley Chapman Jr

LSU Doctoral Dissertations

Pencil beam algorithms (PBAs) are often utilized for dose calculation in proton therapy treatment planning because they are fast and accurate under most conditions. However, as discussed in Chapman et al (2017), the accuracy of a PBA can be limited under certain conditions because of two major assumptions: (1) the central-axis semi-infinite slab approximation; and, (2) the lack of material dependence in the nuclear halo model. To address these limitations, we transported individual protons using a class II condensed history Monte Carlo and added a novel energy loss method that scaled the nuclear halo equation in water to arbitrary geometry. …

Toward Unfolding Doubly Covered N-Stars, Hugo A. Akitaya, Brad Ballinger, Mirela Damian, Erik Demaine, Martin L. Demaine, Robin Flatland, Irina Kostitsyna, Jason S. Ku, Stephan Langerman, Joseph O'Rourke, Ryuhei Uehara

Computer Science: Faculty Publications

No abstract provided.

Approximate Set Union Via Approximate Randomization, Bin Fu, Pengfei Gu, Yuming Zhao

Computer Science Faculty Publications

No abstract provided.

Circadiomics: Circadian Omic Web Portal, Nicholas Ceglia, Yu Liu, Siwei Chen, Forest Agostinelli, Kristin Eckel-Mahan, Paolo Sassone-Corsi, Pierre Baldi

Faculty Publications

Circadian rhythms play a fundamental role at all levels of biological organization. Understanding the mechanisms and implications of circadian oscillations continues to be the focus of intense research. However, there has been no comprehensive and integrated way for accessing and mining all circadian omic datasets. The latest release of CircadiOmics (http://circadiomics.ics.uci.edu) fills this gap for providing the most comprehensive web server for studying circadian data. The newly updated version contains high-throughput 227 omic datasets corresponding to over 74 million measurements sampled over 24 h cycles. Users can visualize and compare oscillatory trajectories across species, tissues and conditions. Periodicity statistics (e.g. …

Mind The Gap: Situated Spatial Language A Case-Study In Connecting Perception And Language, John D. Kelleher

Other

This abstract reviews the literature on computational models of spatial semantics and the potential of deep learning models as an useful approach to this challenge.

Combination Forecasting Of Stock Index Time Series Based On Cooperative Game Theory, Luo Wei

Journal of System Simulation

Abstract: In view of the characteristics of nonlinear, large amplitude, frequent fluctuations in China's stock market, a prediction method of intelligent composite stock index time series based on the cooperative game is presented. The prediction model of stock index time series is established by using neural network method based on the correlations among the various economic indicators, and the development trend and laws of stock index time series are established by using the improved ARIMA method. The two methods are combined by importing cooperative game method. Simulation results show that the prediction accuracy of the presented method is controlled …

Real-Time Simulator For Spatial Information Networks Based On Analog If Signal Processing, Zeguo Yang, Ma Shang, Diaopeng Huang, Jianhao Hu, Lixiang Liu

Journal of System Simulation

Abstract: To solve the problem of real-time simulation of spatial information network with high dynamic network topology, a real-time simulator based on the IF signal processing is proposed. Compared with traditional channel simulator, it supports both the channel transmission characteristics like channel fading, Doppler shift, noise, and path delay, and the real-time simulation of dynamic network topology changes. The simulator supports 8~128 70 MHz IF (0~20 MHz signal bandwidth) emulated nodes with flexible link type configuration. The maximal fading depth is 100 dB, the maximal Doppler shift is 2 MHz, and the maximal path delay can reach up …

A Lightweight Modeling And Simulation Technical Framework For Complex Systems, Ji Hang, Junhua Zhou, Guoqiang Shi, Tingyu Lin, Junjie Xue

Journal of System Simulation

Abstract: Aiming at the modeling and simulation verification of complex systems, the paper established a lightweight simulation technical framework and a system building method. The simulation technical framework is built based on distributed network communication middleware and has graphic user interface, simulation management and run control modules, it packages effective and lightweight network middleware, object management, event management and time management and it is capable of interoperability and its members have abilities of reusable and combinable. The results show that the framework can supports flexible construction and effective simulation on complex systems.

Temperature Characteristics Of Contact Wire Under Different Driving Intervals, Hongwei Wang, Zhang Kai, Zhiyong Wang, Fengyi Guo, Liu Shuai, Zhang Qiong

Journal of System Simulation

Abstract: To reduce the wear of pantograph and catenary system while decreasing the headway, the temperature field of the contact wire is studied. A simulation model is established by using the COMSOL Multiphysics software. The effectiveness of the model is verified with temperature experiments. Temperature field of the contact wire of freight locomotive and passenger locomotive in different intervals is studied by simulation. The smaller the headway of trains, the higher the temperature value, and the shorter the balance process. Under the constraint of temperature field, the headway of freight locomotive couldn't be less than 180s under long term operation. …