Computer Sciences Commons^™

Assessing A Scholarship Program For Underrepresented Students In Computer Science & Information Technology, Dale E. Parson, Lisa Frye Ph.D., Patrick Earl

Computer Science and Information Technology Faculty

There continue to be underrepresented student populations in undergraduate computer science and information technology programs in the United States and Pennsylvania. Despite some enrollment growth, female students in particular continue to be underrepresented. The authors are in the final year of managing a five-year, $614,375 program to support underrepresented student populations in our majors via scholarships and supporting activities, funded by the National Science Foundation. The program has been particularly successful in recruiting and retaining female students. We have discovered several patterns of behavior that provide early warnings for at-risk students. Lack of first-semester contribution to simple activities such as …

Dynamic Control Of Probabilistic Simple Temporal Networks, James C. Boerkoel Jr., Michael Gao, Lindsay Popowski

All HMC Faculty Publications and Research

The controllability of a temporal network is defined as an agent’s ability to navigate around the uncertainty in its schedule and is well-studied for certain networks of temporal constraints. However, many interesting real-world problems can be better represented as Probabilistic Simple Temporal Networks (PSTNs) in which the uncertain durations are represented using potentially-unbounded probability density functions. This can make it inherently impossible to control for all eventualities. In this paper, we propose two new dynamic controllability algorithms that attempt to maximize the likelihood of successfully executing a schedule within a PSTN. The first approach, which we call MIN-LOSS DC, finds …

Visualizing Metabolic Network Dynamics Through Time-Series Metabolomic Data., Lea F Buchweitz, James T Yurkovich, Christoph Blessing, Veronika Kohler, Fabian Schwarzkopf, Zachary A King, Laurence Yang, Freyr Jóhannsson, Ólafur E Sigurjónsson, Óttar Rolfsson, Julian Heinrich, Andreas Dräger

Articles, Abstracts, and Reports

BACKGROUND: New technologies have given rise to an abundance of -omics data, particularly metabolomic data. The scale of these data introduces new challenges for the interpretation and extraction of knowledge, requiring the development of innovative computational visualization methodologies. Here, we present GEM-Vis, an original method for the visualization of time-course metabolomic data within the context of metabolic network maps. We demonstrate the utility of the GEM-Vis method by examining previously published data for two cellular systems-the human platelet and erythrocyte under cold storage for use in transfusion medicine.

RESULTS: The results comprise two animated videos that allow for new insights …

The 10th Annual Computer Science Workshop, Submissions, Abstract Template, Computer Science Department

Computer Science Faculty Proceedings & Presentations

This is the abstract template for the 10th Annual Computer Science Graduate Research Workshop (2020). To learn more about this workshop, please visit: https://digitalcommons.unomaha.edu/csworkshop/2020/.

Keyless Anti-Jamming Communication Via Randomized Dsss, Ahmad Alagil

USF Tampa Graduate Theses and Dissertations

Nowadays, wireless networking is ubiquitous. In wireless communication systems, multiple nodes exchange data during the transmission time. Due to the natural use of the communication channel, it is crucial to protect the physical layer to make wireless channels between nodes more reliable. Jamming attacks consider one of the most significant threats on wireless communication. Spread spectrum techniques have been widely used to mitigate the effects of the jammer. Traditional anti-jamming approaches like Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum (DSSS) require a sender and a receiver to share a secret key prior to their communication. If this …

Artificial Intelligence Towards The Wireless Channel Modeling Communications In 5g, Saud Mobark Aldossari

USF Tampa Graduate Theses and Dissertations

Channel prediction is a mathematical predicting of the natural propagation of the signal that helps the receiver to approximate the affected signal, which plays an important role in highly mobile or dynamic channels. The standard wireless communication channel modeling can be facilitated by either deterministic or stochastic channel methodologies. The deterministic approach is based on the electromagnetic theories and every single object in that environment has to be known in that propagation space and an example of this method is ray tracing. While the stochastic modeling method is based on measurements that involve statistical distributions of the channel parameters and …

Mitigating Safety Concerns And Profit/Production Losses For Chemical Process Control Systems Under Cyberattacks Via Design/Control Methods, Helen Durand, Matthew Wegener

Chemical Engineering and Materials Science Faculty Research Publications

One of the challenges for chemical processes today, from a safety and profit standpoint, is the potential that cyberattacks could be performed on components of process control systems. Safety issues could be catastrophic; however, because the nonlinear systems definition of a cyberattack has similarities to a nonlinear systems definition of faults, many processes have already been instrumented to handle various problematic input conditions. Also challenging is the question of how to design a system that is resilient to attacks attempting to impact the production volumes or profits of a company. In this work, we explore a process/equipment design framework for …

Composition Of Atomic-Obligation Security Policies, Danielle Ferguson

USF Tampa Graduate Theses and Dissertations

There has been significant work to date on policy-specification languages that allow specification of arbitrary obligations, but there continues to exist open challenges in the composition of these arbitrary obligations, especially when obligations can be complex (i.e. consist more than one action). There are currently no solutions that allow complete and automatic resolution of conflicts between policies and other policies' obligations or that allow policies to react to the complex obligations of other policies. In particular, there is minimal work that considers the benefits and challenges of allowing complex obligations that operate in an atomic fashion, that is that execute …

Models Of Secure Software Enforcement And Development, Hernan M. Palombo

USF Tampa Graduate Theses and Dissertations

Computer Security has been a pressing issue that affects our society in multiple ways. Although a plethora of security solutions have been proposed and implemented throughout the years, security continues to be a problem for at least two important reasons, (1) implementations of runtime enforcement mechanisms have not been modeled rigorously and thus may not be enforcing the policies that are expected to enforce, and (2) there are conflicting tensions in the software development process that hinder the implementation and maintenance of secure software. To investigate these issues, this dissertation is divided into two parts.

The first part of this …

Methods And Systems For Group-Based Energy Harvesting, Tae-Jin Lee, Kyoung Min Kim, Ce Zhou

Computer Science Faculty Research & Creative Works

Provided is a method and system for group - based energy harvesting. The group - based energy harvesting method per formed by an access point in an energy harvesting system includes allocating an access period in each group including at least one station , receiving an energy state from the station in the group corresponding to the allocated access period , and scheduling stations in each group as a data transmission station or an energy reception station based on the received energy state.

Distributed Denial Of Service Attack Detection, Travis Blue

Master of Science in Information Technology Theses

Distributed Denial of Service (DDoS) attacks on web applications has been a persistent threat. Successful attacks can lead to inaccessible service to legitimate users in time and loss of business reputation. Most research effort on DDoS focused on network layer attacks. Existing approaches on application layer DDoS attack mitigation have limitations such as the lack of detection ability for low rate DDoS and not being able to detect attacks targeting resource files. In this work, we propose DDoS attack detection using concepts from information retrieval and machine learning. We include two popular concepts from information retrieval: Term Frequency (TF)-Inverse Document …

Complexities Of Data, Tasks And Workflows In Health It Management, Gaurav Jetley

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on three key aspects in health IT management: (1) Complexities in the collection of health data in electronic health record (EHR) systems and the use of EHR data in research, (2) Complexities of collaboration between physicians and AI for improving healthcare delivery, and (3) Complexities of workflows and collaborations between healthcare organization (HCO) staff during the delivery of care. The first dissertation essay (Chapter 1) examines the key data quality issues that arise in recorded health information in EHR systems, provides quality thresholds that the data needs to meet for mitigating errors and increasing reproducibility of downstream …

Csci 49378: Introduction To Distributed System And Cloudcomputing: Syllabus, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus: for CSCI 49378: Introduction to Distributed Systems and Cloud Computing (Spring 2020)

Csci 49378: Final Project Assignment: Distributed Systems And Cloud Computing, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Final Project Assignment for the course: "CSCI 49378: Intro to Distributed Systems and Cloud Computing" delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 10: Cloud Storage And Databases Ii, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases II" (Week Ten) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Genome Sequencing Analysis Of Laboratory Isolate Of Francisella Noatunensis Subs. Orientalis, Joseph Paquette

Senior Honors Projects

Francisella noatunensis subs. orientalis is a known fish pathogen that has been most notably isolated from tilapia (Oreochromis niloticus) in Costa Rica. The genome of this Francisella species pathogen has been sequenced using Next-Generation Sequencing and been made available for the scientific community. Dr. Kathryn Ramsey’s research laboratory in the Department of Cell and Molecular Biology at the University of Rhode Island works with several Francisella species pathogens and is interested in identifying the differences, if any, between the known genome sequence of Francisella noatunensis and that of a laboratory isolate of the same species. With the use …

Npgreat: Hybrid Assembly Of Human Subtelomeres With The Use Of Nanopore And Linked-Read Datasets, Eleni Adam, Desh Ranjan, Harold Riethman

College of Sciences Posters

The telomeres are vitally important regions that are located at the tips of the chromosomes. Their dysfunction, caused by length shortening can lead to senescent cells, which in turn cause age-related diseases, including cancer. The subtelomeres, located next to the telomeres, possess the critical role of regulating the adjacent telomere lengths. Even after many years of research, human subtelomeres have proven to be very hard to assemble due to their morphology. In order to overcome these problems, the hybrid assembly method we develop utilizes two of the latest available types of data, which complement each other: Linked-Reads and ultralong Nanopore …

Why Black-Scholes Equations Are Effective Beyond Their Usual Assumptions: Symmetry-Based Explanation, Warattaya Chinnakum, Sean R. Aguilar

Departmental Technical Reports (CS)

Nobel-Prize-winning Black-Scholes equations are actively used to estimate the price of options and other financial instruments. In practice, they provide a good estimate for the price, but the problem is that their original derivation is based on many simplifying statistical assumptions which are, in general, not valid for financial time series. The fact that these equations are effective way beyond their usual assumptions leads to a natural conclusion that there must be an alternative derivation for these equations, a derivation that does not use the usual too-strong assumptions. In this paper, we provide such a derivation in which the only …

Cylindrical Similarity Measurement For Helices In Medium-Resolution Cryo-Electron Microscopy Density Maps, Salim Sazzed, Peter Scheible, Maytha Alshammari, Willy Wriggers, Jing He

College of Sciences Posters

Cryo-electron microscopy (cryo-EM) density maps at medium resolution (5-10 Å) reveal secondary structural features such as α-helices and β-sheets, but they lack the side chains details that would enable a direct structure determination. Among the more than 800 entries in the Electron Microscopy Data Bank (EMDB) of medium-resolution density maps that are associated with atomic models, a wide variety of similarities can be observed between maps and models. To validate such atomic models and to classify structural features, a local similarity criterion, the F1 score, is proposed and evaluated in this study. The F1 score is theoretically normalized to a …

Atmospheric Contrail Detection With A Deep Learning Algorithm, Nasir Siddiqui

Student Research, Papers, and Creative Works

Aircraft contrail emission is widely believed to be a contributing factor to global climate change. We have used machine learning techniques on images containing contrails in hopes of being able to identify those which contain contrails and those that do not. The developed algorithm processes data on contrail characteristics as captured by long-term image records. Images collected by the United States Deparment of Energy’s Atmospheric Radiation Management user facility(ARM) were used to train a deep convolutional neural network for the purpose of this contrail classification. The neural network model was trained with 1600 images taken by the Total Sky Imager(TSI) …

Centroids Beyond Defuzzification, Juan Carlos Figueroa-Garcia, Christian Servin, Vladik Kreinovich

Departmental Technical Reports (CS)

In general, expert rules expressed by imprecise (fuzzy) words of natural language like "small" lead to imprecise (fuzzy) control recommendations. If we want to design an automatic controller, we need, based on these fuzzy recommendations, to generate a single control value. A procedure for such generation is known as defuzzification. The most widely used defuzzification procedure is centroid defuzzification, in which, as the desired control value, we use one of the coordinates of the center of mass ("centroid") of an appropriate 2-D set. A natural question is: what is the meaning of the second coordinate of this center of mass? …

Which Algorithms Are Feasible And Which Are Not: Fuzzy Techniques Can Help In Formalizing The Notion Of Feasibility, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Some algorithms are practically feasible, in the sense that for all inputs of reasonable length they provide the result in reasonable time. Other algorithms are not practically feasible, in the sense that they may work well for small-size inputs, but for slightly larger -- but still reasonable-size -- inputs, the computation time becomes astronomical (and not practically possible). How can we describe practical feasibility in precise terms? The usual formalization of the notion of feasibility states that an algorithm is feasible if its computation time is bounded by a polynomial of the size of the input. In most cases, this …

Is There A Contradiction Between Statistics And Fairness: From Intelligent Control To Explainable Ai, Christian Servin, Vladik Kreinovich

Departmental Technical Reports (CS)

At first glance, there seems to be a contradiction between statistics and fairness: statistics-based AI techniques lead to unfair discrimination based on gender, race, and socio-economical status. This is not just a fault of probability techniques: similar problems can happen if we use fuzzy or other techniques for processing uncertainty. To attain fairness, several authors proposed not to rely on statistics and instead, explicitly add fairness constraints into decision making. In this paper, we show that the seeming contradiction between statistics and fairness is caused mostly by the fact that the existing systems use simplified models; contradictions disappear if we …

Why Linear Expressions In Discounting And In Empathy: A Symmetry-Based Explanation, Supanika Leurcharusmee, Laxman Bokati, Olga Kosheleva

Departmental Technical Reports (CS)

People's preferences depend not only on the decision maker's immediate gain, they are also affected by the decision maker's expectation of future gains. A person's decisions are also affected by possible consequences for others. In decision theory, people's preferences are described by special quantities called utilities. In utility terms, the above phenomena mean that the person's overall utility of an action depends not only on the utility corresponding to the action's immediate consequences for this person, it also depends on utilities corresponding to future consequences and on utilities corresponding to consequences for others. These dependencies reflect discounting of future consequences …

Scale-Invariance Ideas Explain The Empirical Soil-Water Characteristic Curve, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich

Departmental Technical Reports (CS)

The prediction of the road's properties under the influence of water infiltration is important for pavement design and management. Traditionally, this prediction heavily relied on expert estimates. In the last decades, complex empirical formulas have been proposed to capture the expert's intuition in estimating the effect of water infiltration on the stiffness of the pavement's payers. Of special importance is the effect of water intrusion on the pavement's foundation -- known as subgrade soil. In this paper, we show that natural scale-invariance ideas lead to a theoretical explanation for an empirical formula describing the dependence between soil suction and water …

A Learning Culture For The Digital World – Something To Learn From Moscow?, Andreas Schleicher

Teacher India

While people have different views on the role that digital technology can and should play in schools, we cannot ignore how digital tools have so fundamentally transformed the world outside of school. Andreas Schleicher looks at how schools in Moscow use digital technology in their classrooms.

Optimal Search Under Constraints, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In general, if we know the values a and b at which a continuous function has different signs -- and the function is given as a black box -- the fastest possible way to find the root x for which f(x) = 0 is by using bisection (also known as binary search). In some applications, however -- e.g., in finding the optimal dose of a medicine -- we sometimes cannot use this algorithm since, for avoid negative side effects, we can only try value which exceed the optimal dose by no more than some small value δ > 0. In this …

Csci 49378: Lecture 8: Cloud Systems And Infrastructures Ii, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures II" (Week Eight) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

A Comprehensive Cybersecurity Policy For The United States Government According To Cyberattacks And Exploits In The 21st Century, Diana Hallisey

Honors Program Contracts

Adversaries launch cyberattacks or cyber-exploits with contrasting intentions and desired outcomes. A cyberattack is a malicious attempt by a state, third party, or individual to disrupt a computer’s network; whereas, a cyber-exploit is an action that uncovers and steals “confidential” information from a computer’s data. 1 Within this research paper, the main adversary of such cyberattacks and/or exploits will be the nation-state. The victims of these cyberattacks will range from multinational corporations, such as Sony, to nuclear programs in Iran. This essay will focus on four motivations behind such cyberattacks: (1) private sector hacking (the theft of intellectual property) (2) …

Book Genre Classification By Its Cover Using A Multi-View Learning Approach, Chandra Shakhar Kundu

Masters Theses & Specialist Projects

An interesting topic in the visual analysis is to determine the genre of a book by its cover. The book cover is the very first communication to the reader which shapes the reader’s expectation about the type of the book. Each book cover is carefully designed by the cover designers and typographers to convey the visual representation of its content. In this study, we explore several different deep learning approaches for predicting the genre from the cover image alone, such as MobileNet V1, MobileNet V2, ResNet50, Inception V2. Moreover, we add an extra modality by extracting text from the cover …