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2022

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Towards Secure And Trustworthy Iot Systems, Lan Luo Jan 2022

Towards Secure And Trustworthy Iot Systems, Lan Luo

Electronic Theses and Dissertations, 2020-2023

The boom of the Internet of Things (IoT) brings great convenience to the society by connecting the physical world to the cyber world, but it also attracts mischievous hackers for benefits. Therefore, understanding potential attacks aiming at IoT systems and devising new protection mechanisms are of great significance to maintain the security and privacy of the IoT ecosystem. In this dissertation, we first demonstrate potential threats against IoT networks and their severe consequences via analyzing a real-world air quality monitoring system. By exploiting the discovered flaws, we can impersonate any victim sensor device and polluting its data with fabricated data. …

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Dordt University 2022-23 Catalog, Dordt University. Registrar's Office Jan 2022

Dordt University 2022-23 Catalog, Dordt University. Registrar's Office

Academic Catalogs

Academic catalog for 2022-23

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Science Methods For Elementary Teachers, Ron Browne, David Kimori Jan 2022

Science Methods For Elementary Teachers, Ron Browne, David Kimori

MSU Authors Collection

Complete Digitized Text of Science Methods for Elementary Teachers by Ron Browne and David Kimori, Minnesota State University, Mankato, 2022.

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Nft-Related Companies: Token Sale Returns, Robert Liu Jan 2022

Nft-Related Companies: Token Sale Returns, Robert Liu

CMC Senior Theses

Non-fungible tokens (NFTs) have emerged as a new means of digital asset ownership and many companies are building projects that revolve around the technology. These companies are blockchain-based and raise capital for their projects through cryptocurrency token sales, which have become a new mechanism of entrepreneurial finance. In a sample of 62 NFT-related companies, I examine which company, fundraising, and token sale process characteristics are associated with the performance of 7-day and 60-day market returns after a token’s public listing. A multivariate regression analysis finds that the total amount of capital raised before a token launch has a negative relationship …

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Partisan Gerrymandering And The Right To Privacy, Ana Deckey Jan 2022

Partisan Gerrymandering And The Right To Privacy, Ana Deckey

CMC Senior Theses

This paper argues that partisan gerrymanderers violate citizens’ right to privacy by using data containing sensitive information on citizens without a compelling state interest. It first details how partisan gerrymandering claims have been argued in Court in the past. Next, it discusses theories of the right to privacy, mainly exploring the tensions between James Madison’s writings on privacy and Warren and Brandeis’ famed The Right to Privacy. Then, I present originalist arguments for upholding the original meaning and principles of the right to privacy and the Fourth and Fourteenth Amendments before walking through case law related to privacy and …

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Connection And Competition: Navigating The U.S.-China Race To 5g, Hannah Reilly Jan 2022

Connection And Competition: Navigating The U.S.-China Race To 5g, Hannah Reilly

CMC Senior Theses

By improving the speed and reliability of the transfer of data, 5G technology has the potential to produce a fourth technological revolution over the next few decades. Its infrastructure will enable advanced technology that will generate massive economic growth and bolster military power. 5G technology will also create new vulnerabilities that introduce new security concerns. The nation with the most control over its 5G networks and the networks of other countries will gain the ability to protect itself from the cyberattacks or espionage of countries with malicious intent. A fierce competition has erupted between the United States and China, each …

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The Stadyn Programming Language, Francisco Ortin, Miguel Garcia, Baltasar Garcia Perez-Schofield, Jose Quiroga Jan 2022

The Stadyn Programming Language, Francisco Ortin, Miguel Garcia, Baltasar Garcia Perez-Schofield, Jose Quiroga

Department of Mathematics Publications

Hybrid static and dynamic typing languages are aimed at combining the benefits of both kinds of languages: the early type error detection and compile-time optimizations of static typing, together with the runtime adaptability of dynamically typed languages. The StaDyn programming language is a hybrid typing language, whose main contribution is the utilization of the type information gathered by the compiler to improve compile-time error detection and runtime performance. StaDyn has been evaluated as the hybrid typing language for the .Net platform with the highest runtime performance and the lowest memory consumption. Although most optimizations are performed statically by the compiler, …

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A Study Of Microgravity On Fluid Transport Through Porous Structures In Microfluidic Devices, Sylvain Le Henaff Jan 2022

A Study Of Microgravity On Fluid Transport Through Porous Structures In Microfluidic Devices, Sylvain Le Henaff

Electronic Theses and Dissertations, 2020-2023

The objective of this study is to refine the understanding of micro-fluidics subject to micro-gravity in an attempt to support future space exploration efforts. A combination of experimental and numerical approaches were utilized to build a validated assessment approach. A quasi-pore geometry, inspired by CT scans of rat bones, was used in lieu of human bone structures. A quasi-1D assessment of the conservation of momentum was used to identify the dominant forces acting on the fluid at the operating length-scales. The dominant forces were surface tension, gravity, and shear stress. Experiments were conducted to visualize the flow moving through the …

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Computational And Experimental Studies Of Adsorption And Reactions On Molybdenum Nitride And Silica Covered Ruthenium Surfaces, Muhammad Sajid Jan 2022

Computational And Experimental Studies Of Adsorption And Reactions On Molybdenum Nitride And Silica Covered Ruthenium Surfaces, Muhammad Sajid

Electronic Theses and Dissertations, 2020-2023

Fundamental studies of material surfaces are of continued interest to the development and improvement of many modern technologies, e.g. catalysis, energy efficient electronics, and high-capacity batteries etc. This dissertation targets two distinct sets of molecule-surface interactions relevant to the continued development of structure-property correlations using tools from Density Functional Theory with added verification from ultrahigh vacuum surface-science experiments. These include Haber-Bosch interactions at molybdenum-nitride surfaces and separation-dependent interactions between simple aromatics and Ru(0001) used to model a metal contact of Organic Electronic Devices (OEDs). In the first study, we focus on computational modelling of nitrogen fixation reactions on Mo- and …

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Interactions Of Aerosol Droplets With Ventilated Airflows In The Context Of Airborne Pathogen Transmission, Steven Schroeder Jan 2022

Interactions Of Aerosol Droplets With Ventilated Airflows In The Context Of Airborne Pathogen Transmission, Steven Schroeder

Electronic Theses and Dissertations, 2020-2023

This multidisciplinary study provides a comprehensive visualization of airborne aerosols and droplets coming into contact with a crossflow of moving air utilizing both experimental particle measuring methods and multiphase computational fluids dynamics (CFD). The aim of this research is to provide a Eulerian visualization of how ventilation can alter the position and density of an aerosol cloud, with the goal of applying this information to our understanding of social distancing ranges within outdoor settings and ventilated rooms. The results indicate that even minor perpendicular crossflows across the trajectory of an aerosol cloud can greatly reduce both the linear displacement and …

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Innovation Resistance? Understanding Officer Attitudes Toward Police Innovation, Justin Smith Jan 2022

Innovation Resistance? Understanding Officer Attitudes Toward Police Innovation, Justin Smith

Electronic Theses and Dissertations, 2020-2023

Over the years, innovations such as community-oriented policing, problem-oriented policing, and crime analysis have helped police agencies control, reduce, and prevent crime and disorder, and improve police and community relations. However, research shows that some officers are resistant to using these innovations in practice. Few studies have examined the causal mechanisms behind innovation resistance. This doctoral dissertation details a study that utilized a mixed method approach to partially test a framework that encompassed two theories to explain officer resistance to innovation: The Model of Consumer Resistance to Innovation from the consumer psychology and marketing fields (Ram & Sheth, 1989), and …

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Towards Leveraging Sparse Infrared Datasets For Multiple View Synthesis, Few Shot Learning And Background Invariant Recognition, Maliha Arif Jan 2022

Towards Leveraging Sparse Infrared Datasets For Multiple View Synthesis, Few Shot Learning And Background Invariant Recognition, Maliha Arif

Electronic Theses and Dissertations, 2020-2023

This dissertation presents a study of various machine learning techniques for recognizing vehicular objects in infrared images. State of the art methods for computer vision have not been widely explored for this part of the electromagnetic spectrum (EM). Challenges that arise due to the dearth of infrared training images, terrain clutter, and thermal phenomenology have not been fully addressed. Infrared dataset collection and annotation is both difficult and expensive. What if there is a way we can generate infrared images and diminish the need for collecting data out in the field? Our first research study encompasses an encoder-decoder model that …

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The Parker Problem In Hall Magnetohydrodynamics Analytical And Numerical Solutions, Chad Malott Jan 2022

The Parker Problem In Hall Magnetohydrodynamics Analytical And Numerical Solutions, Chad Malott

Electronic Theses and Dissertations, 2020-2023

In this thesis we follow on the mathematical aspects of the previous work of Shivamoggi (2009) on the Parker problem in Hall magnetohydrodynamics (MHD). We will present an analysis involving detailed analytical and numerical solutions to the Parker problem in Hall MHD. We give an analytical formulation for the Parker problem in Hall MHD, involving an initial value problem (IVP) associated with a first order Riccati equation (RE). We present Mathematica software exact solutions directly with special functions and more straightforward solutions that use the change of variables and power series methods without special functions. We give an asymptotic formulation …

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Constructing Integer-Magic Graphs Via The Combinatorial Nullstellensatz, Richard M. Low, Dan Roberts Jan 2022

Constructing Integer-Magic Graphs Via The Combinatorial Nullstellensatz, Richard M. Low, Dan Roberts

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial additive abelian group and A* = A \ {0}. A graph is A-magic if there exists an edge labeling f using elements of A∗ which induces a constant vertex labeling of the graph. Such a labeling f is called an A-magic labeling and the constant value of the induced vertex labeling is called an A-magic value. In this paper, we use the Combinatorial Nullstellensatz to construct nontrivial classes of Zp-magic graphs, prime p ≥ 3. For these graphs, some lower bounds on the number of distinct Zp-magic labelings are also established.

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Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos Jan 2022

Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos

Faculty Research, Scholarly, and Creative Activity

Often in Computational Fluid Dynamics integral forces and restoring moments are calculated, but the location where they should be applied may not always be clear. This is because the location is not intuitive: it is dependent on the vehicle’s velocity and its orientation (e.g. sideslip angle). A technique has been developed to translate the aerodynamic forces to the reaction forces on the vehicle’s tires. In this study, CFD simulation is performed with a 7.5° yaw to look at the effect of cornering. To understand aerodynamic effect on vehicle dynamics one must know the location at which this force is applied. …

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Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park Jan 2022

Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Deep learning-based intrusion detection systems have advanced due to their technological innovations such as high accuracy, automation, and scalability to develop an effective network intrusion detection system (NIDS). However, most of the previous research has focused on model generation through intensive analysis of feature engineering instead of considering real environments. They have limitations to applying the previous methods for a real network environment to detect real-time network attacks. In this paper, we propose a new flexible and robust NIDS based on Recurrent Neural Network (RNN) with a multi-classifier to generate a detection model in real time. The proposed system adaptively …

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Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones Jan 2022

Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

It is important to comprehend the attacker's behavior and capacity in order to build a stronger fortress and thus be able to protect valuable assets more effectively. Prior to launching technical and physical attacks, an attacker may enter the reconnaissance stage and gather sensitive information. To collect such valuable data, one of the most effective approaches is through conducting social engineering attacks, borrowing techniques from deception theory. As a result, it is of utmost importance to understand when an attacker behaves truthfully and when the attacker opts to be deceitful. This paper models attacker's states using the Markov Decision Process …

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On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low Jan 2022

On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial abelian group. A connected simple graph G = (V, E) is A-antimagic if there exists an edge labeling f : E(G) → A \ {0} such that the induced vertex labeling f+ : V (G) → A, defined by f+(v) = Σ {f(u, v): (u, v) ∈ E(G)}, is a one-to-one map. In this paper, we analyze the group-antimagic property for Cartesian products, hexagonal nets and theta graphs.

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Computation Of New Diagonal Graph Ramsey Numbers, Richard M. Low, Ardak Kapbasov, Arman Kapbasov, Sergey Bereg Jan 2022

Computation Of New Diagonal Graph Ramsey Numbers, Richard M. Low, Ardak Kapbasov, Arman Kapbasov, Sergey Bereg

Faculty Research, Scholarly, and Creative Activity

For various connected simple graphs G, we extend the table of diagonal graph Ramsey numbers R(G,G) in ‘An Atlas of Graphs.’ This is accomplished by first converting the calculation of R(G,G) into a satisfiability problem in propositional logic. Mathematical arguments and scientific computing are then used to calculate R(G,G).

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Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan Jan 2022

Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan

Faculty Research, Scholarly, and Creative Activity

Network failures are unavoidable and occur frequently. When the network fails, intra-domain routing protocols deploying on the Internet need to undergo a long convergence process. During this period, a large number of messages are discarded, which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers (ISP). Therefore, improving the availability of intra-domain routing is a trending research question to be solved. Industry usually employs routing protection algorithms to improve intra-domain routing availability. However, existing routing protection schemes compute as many backup paths as possible to reduce message loss due to …

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Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia Jan 2022

Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

In the past decade, the number of malware attacks have grown considerably and, more importantly, evolved. Many researchers have successfully integrated state-of-the-art machine learning techniques to combat this ever present and rising threat to information security. However, the lack of enough data to appropriately train these machine learning models is one big challenge that is still present. Generative modelling has proven to be very efficient at generating image-like synthesized data that can match the actual data distribution. In this paper, we aim to generate malware samples as opcode sequences and attempt to differentiate them from the real ones with the …

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Crowdfunding Non-Fungible Tokens On The Blockchain, Sean Basu, Kimaya Basu, Thomas H. Austin Jan 2022

Crowdfunding Non-Fungible Tokens On The Blockchain, Sean Basu, Kimaya Basu, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Non-fungible tokens (NFTs) have been used as a way of rewarding content creators. Artists publish their works on the blockchain as NFTs, which they can then sell. The buyer of an NFT then holds ownership of a unique digital asset, which can be resold in much the same way that real-world art collectors might trade paintings. However, while a deal of effort has been spent on selling works of art on the blockchain, very little attention has been paid to using the blockchain as a means of fundraising to help finance the artist’s work in the first place. Additionally, while …

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Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar Jan 2022

Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar

Faculty Research, Scholarly, and Creative Activity

Our eyes actively perform tasks including, but not limited to, searching, comparing, and counting. This includes tasks in front of a computer, whether it be trivial activities like reading email, or video gaming, or more serious activities like drone management, or flight simulation. Understanding what type of visual task is being performed is important to develop intelligent user interfaces. In this work, we investigated standard machine and deep learning methods to identify the task type using eye-tracking data-including both raw numerical data and the visual representations of the user gaze scan paths and pupil size. To this end, we experimented …

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Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar Jan 2022

Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar

Faculty Research, Scholarly, and Creative Activity

In this study, we were able to show how cognitive load measurement during the initiation of a complex visual task can predict user response. We measured cognitive load using pupil size and microsaccade rate. The initial phase of task was defined as the first 25 percent of the trial Reaction Time (RT), which was variable up to 50 seconds. The complex visual task entailed a set of twelve words that could be grouped based into 1, 2, or 3 categories or sets, e.g., the words bed, pillow, headboard, etc. can be grouped into a single set that is bedroom. We …

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Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell Jan 2022

Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell

Faculty Research, Scholarly, and Creative Activity

Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP can acquire this ability while learning from data is an open question. In this paper, we investigate this problem from the perspective of formal languages. We use deterministic finite-state transducers to make an unbounded number of datasets with controllable properties governing compositionality. By randomly sampling over many transducers, we explore which of their properties contribute to learnability of a compositional relation by a neural network. We find that the models either learn the relations completely or not at all. The …

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Application Of Uniform Test Design In Optimizing The Flotation Reagents Of Iron Anionic Reverse Flotation Circuit, Ying Hou, Ahmed Sobhy Jan 2022

Application Of Uniform Test Design In Optimizing The Flotation Reagents Of Iron Anionic Reverse Flotation Circuit, Ying Hou, Ahmed Sobhy

Mining Engineering Faculty Research & Creative Works

Most iron reserves are low in grade with quartz as the main gangue mineral, and anionic reverse flotation has become the most crucial separation method in the processing plants of iron ore. Thus, a flotation feed sample that is a mixture of low-intensity and high-gradient magnetic separators concentrates was acquired from a processing plant. The sample characterizations with X-ray diffraction (XRD), X-ray fluorescence (XRF), laser particle size analyzer, and mineral liberation analysis (MLA) confirmed that the sample consists of iron oxide as a valuable mineral and quartz as a gangue mineral with adequate liberation degree. In the anionic reverse flotation, …

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Applying Cfd Model Studies To Determine Zones At Risk Of Methane Explosion And Spontaneous Combustion Of Coal In Goaves, Magdalena Tutak, Jarosław Brodny, Greg Galecki Jan 2022

Applying Cfd Model Studies To Determine Zones At Risk Of Methane Explosion And Spontaneous Combustion Of Coal In Goaves, Magdalena Tutak, Jarosław Brodny, Greg Galecki

Mining Engineering Faculty Research & Creative Works

Underground mining operations are subject to a number of natural hazards. Events resulting from these hazards are difficult to predict, and if they occur, they disrupt the entire mining process and pose a great danger to the crew. Some of the most dangerous include ventilation hazards involving methane explosions and fires caused by the spontaneous combustion of coal. The complex state of the underground environment means that these hazards oftentimes occur simultaneously, making mining conditions even worse. The following paper addresses this issue by developing the methodology for determining areas endangered by methane explosions and spontaneous coal combustion in goaves. …

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A Physics-Based Model For Frost Buildup Under Turbulent Flow Using Direct Numerical Simulations, ‪Nadim Zgheib, N. Farzaneh, S. Balachandar, S. A. Sherif Jan 2022

A Physics-Based Model For Frost Buildup Under Turbulent Flow Using Direct Numerical Simulations, ‪Nadim Zgheib, N. Farzaneh, S. Balachandar, S. A. Sherif

Mechanical Engineering Faculty Publications

We present a new model for frost buildup under turbulent (and laminar) flow using direct numerical simulations. The physical model consists of two layers, the air and the frost. The air layer is fully resolved and consists of solving for the velocity, temperature, and vapor mass fraction fields. The frost layer thickness is resolved using conservation of mass and energy. Both phases are dynamically coupled using the immersed boundary method. Three-dimensional simulations are conducted in an open-channel configuration. A number of challenges need to be overcome to make these simulations feasible. First, to enforce far-field conditions of zero …

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Differentially Private Fractional Frequency Moments Estimation With Polylogarithmic Space, Lun Wang, Iosif Pinelis, Dawn Song Jan 2022

Differentially Private Fractional Frequency Moments Estimation With Polylogarithmic Space, Lun Wang, Iosif Pinelis, Dawn Song

Michigan Tech Publications, Part 1

We prove that Fp sketch, a well-celebrated streaming algorithm for frequency moments estimation, is differentially private as is when p ∈ (0, 1]. Fp sketch uses only polylogarithmic space, exponentially better than existing DP baselines and only worse than the optimal non-private baseline by a logarithmic factor. The evaluation shows that Fp sketch can achieve reasonable accuracy with differential privacy guarantee. The evaluation code is included in the supplementary material.

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Revisiting The Interval And Fuzzy Topsis Methods: Is Euclidean Distance A Suitable Tool To Measure The Differences Between Fuzzy Numbers?, Hosein Arman, Abdollah Hadi-Vencheh, Reza Kiani Mavi, Mehdi Khodadadipour, Ali Jamshidi Jan 2022

Revisiting The Interval And Fuzzy Topsis Methods: Is Euclidean Distance A Suitable Tool To Measure The Differences Between Fuzzy Numbers?, Hosein Arman, Abdollah Hadi-Vencheh, Reza Kiani Mavi, Mehdi Khodadadipour, Ali Jamshidi

Research outputs 2022 to 2026

Euclidean distance (ED) calculates the distance between n-coordinate points that n equals the dimension of the space these points are located. Some studies extended its application to measure the difference between fuzzy numbers (FNs).This study shows that this extension is not logical because although an n-coordinate point and an FN are denoted the same, they are conceptually different. An FN is defined by n components; however, n is not equal to the dimension of the space where the FN is located. This study illustrates this misapplication and shows that the ED between FNs does not necessarily reflect their difference. We …

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