Aligning Recovery Objectives With Organizational Capabilities, 2022 Dakota State University
Aligning Recovery Objectives With Organizational Capabilities, Jude C. Ejiobi
Masters Theses & Doctoral Dissertations
To reduce or eliminate the impact of a cyber-attack on an organization, preparations to recover a failed system and/or data are usually made in anticipation of such an attack. To avoid a false sense of security, these preparations should, as closely as possible, reflect the organization’s capabilities, in order to inform future improvement and avoid unattainable goals. There is an absence of a strong basis for the selection of the metrics that are used to measure preparation. Informal and unreliable processes are widely used, and they often result in metrics that conflict with the organization’s capabilities and ...
Faster Multidimensional Data Queries On Infrastructure Monitoring Systems, 2022 San Jose State University
Faster Multidimensional Data Queries On Infrastructure Monitoring Systems, Yinghua Qin, Gheorghi Guzun
Faculty Research, Scholarly, and Creative Activity
The analytics in online performance monitoring systems have often been limited due to the query performance of large scale multidimensional data. In this paper, we introduce a faster query approach using the bit-sliced index (BSI). Our study covers multidimensional grouping and preference top-k queries with the BSI, algorithms design, time complexity evaluation, and the query time comparison on a real-time production performance monitoring system. Our research work extended the BSI algorithms to cover attributes filtering and multidimensional grouping. We evaluated the query time with the single attribute, multiple attributes, feature filtering, and multidimensional grouping. To compare with the existing prior ...
Defining Service Level Agreements In Serverless Computing, 2022 The University of Western Ontario
Defining Service Level Agreements In Serverless Computing, Mohamed Elsakhawy
Electronic Thesis and Dissertation Repository
The emergence of serverless computing has brought significant advancements to the delivery of computing resources to cloud users. With the abstraction of infrastructure, ecosystem, and execution environments, users could focus on their code while relying on the cloud provider to manage the abstracted layers. In addition, desirable features such as autoscaling and high availability became a provider’s responsibility and can be adopted by the user's application at no extra overhead.
Despite such advancements, significant challenges must be overcome as applications transition from monolithic stand-alone deployments to the ephemeral and stateless microservice model of serverless computing. These challenges pertain ...
Smart Decision-Making Via Edge Intelligence For Smart Cities, 2022 University of Kentucky
Smart Decision-Making Via Edge Intelligence For Smart Cities, Nathaniel Hudson
Theses and Dissertations--Computer Science
Smart cities are an ambitious vision for future urban environments. The ultimate aim of smart cities is to use modern technology to optimize city resources and operations while improving overall quality-of-life of its citizens. Realizing this ambitious vision will require embracing advancements in information communication technology, data analysis, and other technologies. Because smart cities naturally produce vast amounts of data, recent artificial intelligence (AI) techniques are of interest due to their ability to transform raw data into insightful knowledge to inform decisions (e.g., using live road traffic data to control traffic lights based on current traffic conditions). However, training ...
A Metric For Machine Learning Vulnerability To Adversarial Examples, 2022 Dakota State University
A Metric For Machine Learning Vulnerability To Adversarial Examples, Matt Bradley
Masters Theses & Doctoral Dissertations
Machine learning is used in myriad aspects, both in academic research and in everyday life, including safety-critical applications such as robust robotics, cybersecurity products, medial testing and diagnosis where a false positive or negative could have catastrophic results. Despite the increasing prevalence of machine learning applications and their role in critical systems we rely on daily, the security and robustness of machine learning models is still a relatively young field of research with many open questions, particularly on the defensive side of adversarial machine learning. Chief among these open questions is how best to quantify a model’s attack surface ...
Nft Sneaker Marketplace Design, Testing, And Challenges, 2022 Colby College
Nft Sneaker Marketplace Design, Testing, And Challenges, Chris Zhu
This paper introduces the preliminary background and implementation of the NFT sneaker marketplace. Specifically, we build sneaker NFTs on top of ERC-20 within the Ethereum network and use a top-to-bottom design mechanism. Our website performs well in its functionality, compatibility, and performance. We discuss possible future steps for security implementation. In particular, we recommend using a cold wallet for clients' transactions and implementing multi-signature contracts to avoid spoofing and repudiation. Introducing the sneaker NFT marketplace will vastly reduce the costs of transactions and delivery time in the physical sneaker marketplace. We hope investors in the physical asset space can find ...
A New Way To Make Music: Processing Digital Audio In Virtual Reality, 2022 Bard College
A New Way To Make Music: Processing Digital Audio In Virtual Reality, Gavin E. Payne
Senior Projects Spring 2022
The work of this project attempts to provide new methods of creating music with technology. The product, Fields, is a functional piece of virtual reality software, providing users an immersive and interactive set of tools used to build and design instruments in a modular manner. Each virtual tool is analogous to musical hardware such as guitar pedals, synthesizers, or samplers, and can be thought of as an effect or instrument on its own. Specific configurations of these virtual audio effects can then be played to produce music, and then even saved by the user to load up and play with ...
Hard Real-Time Linux On A Raspberry Pi For 3d Printing, 2022 San Jose State University
Hard Real-Time Linux On A Raspberry Pi For 3d Printing, Alvin Nguyen
The project presents how a Raspberry Pi with hard real-time enabled Linux can control stepper motors to operate the kinematics of a 3D (three-dimensional) printer. The consistent performance of the Raspberry Pi with the PREEMPT-RT (real-time) patch can satisfy real hard-time requirements for 3D printing kinematics, without introducing dedicated microcontrollers. The Klipper 3D printer firmware enables one of the Raspberry Pi processors to act as the Klipper MCU, the primary controller for the hardware components. This project introduces a software implementation of the control logic for controlling the stepper motors, which utilizes the PCA9685 pwm driver and TB6612 motor drivers ...
A Practical Approach To Automated Software Correctness Enhancement, 2021 New Jersey Institute of Technology
A Practical Approach To Automated Software Correctness Enhancement, Aleksandr Zakharchenko
To repair an incorrect program does not mean to make it correct; it only means to make it more-correct, in some sense, than it is. In the absence of a concept of relative correctness, i.e. the property of a program to be more-correct than another with respect to a specification, the discipline of program repair has resorted to various approximations of absolute (traditional) correctness, with varying degrees of success. This shortcoming is concealed by the fact that most program repair tools are tested on basic cases, whence making them absolutely correct is not clearly distinguishable from making them relatively ...
Millipyde: A Cross-Platform Python Framework For Transparent Gpu Acceleration, 2021 California Polytechnic State University, San Luis Obispo
Millipyde: A Cross-Platform Python Framework For Transparent Gpu Acceleration, James B. Asbury
The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of problems that benefit from GPU-acceleration. This acceleration often suffers from a high barrier to entry, however, due to the complexity of software tools that closely map to the underlying GPU hardware, the fast-changing landscape of GPU environments, and the fragmentation of tools and languages that only support specific platforms. Because of this, new solutions will continue to be needed to make GPGPU acceleration more accessible to the developers that can benefit from it. AMD’s new cross-platform development ecosystem ROCm provides promise for developing applications ...
Deep Learning Strategies For Pool Boiling Heat Flux Prediction Using Image Sequences, 2021 University of Arkansas, Fayetteville
Deep Learning Strategies For Pool Boiling Heat Flux Prediction Using Image Sequences, Connor Heo
Graduate Theses and Dissertations
The understanding of bubble dynamics during boiling is critical to the design of advanced heater surfaces to improve the boiling heat transfer. The stochastic bubble nucleation, growth, and coalescence processes have made it challenging to obtain mechanistic models that can predict boiling heat flux based on the bubble dynamics. Traditional boiling image analysis relies on the extraction of the dominant physical quantities from the images and is thus limited to the existing knowledge of these quantities. Recently, machine-learning-aided analysis has shown success in boiling crisis detection, heat flux prediction, real-time image analysis, etc., whereas most of the existing studies are ...
Component Damage Source Identification For Critical Infrastructure Systems, 2021 University of Arkansas, Fayetteville
Component Damage Source Identification For Critical Infrastructure Systems, Nathan Davis
Graduate Theses and Dissertations
Cyber-Physical Systems (CPS) are becoming increasingly prevalent for both Critical Infrastructure and the Industry 4.0 initiative. Bad values within components of the software portion of CPS, or the computer systems, have the potential to cause major damage if left unchecked, and so detection and locating of where these occur is vital. We further define features of these computer systems and create a use-based system topology. We then introduce a function to monitor system integrity and the presence of bad values as well as an algorithm to locate them. We then show an improved version, taking advantage of several system ...
Memory Forensics Comparison Of Apple M1 And Intel Architecture Using Volatility Framework, 2021 Louisiana State University and Agricultural and Mechanical College
Memory Forensics Comparison Of Apple M1 And Intel Architecture Using Volatility Framework, Joshua Duke
LSU Master's Theses
Memory forensics allows an investigator to get a full picture of what is occurring on-device at the time that a memory sample is captured and is frequently used to detect and analyze malware. Malicious attacks have evolved from living on disk to having persistence mechanisms in the volatile memory (RAM) of a device and the information that is captured in memory samples contains crucial information for full forensic analysis by cybersecurity professionals. Recently, Apple unveiled computers containing a custom designed system on a chip (SoC) called the M1 that is based on ARM architecture. Our research focused on the differences ...
Automated Discovery Of Network Cameras In Heterogeneous Web Pages, 2021 Purdue University
Automated Discovery Of Network Cameras In Heterogeneous Web Pages, Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hisang Lu, George K. Thiruvathukal
Computer Science: Faculty Publications and Other Works
Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely ...
Building A More Sustainable And Accessible Internet: Lightweight Web Design With Html And Css, 2021 San Jose State University
Building A More Sustainable And Accessible Internet: Lightweight Web Design With Html And Css, Chelsea Thompto
While the internet has great potential to bring people together, if the internet was a country, it would be the 7th largest energy consumer on the planet. This is set to increase in years to come moving the internet even higher on this list to become the 4th largest energy consumer if it were to be a country. So, as artists and digital citizens it is imperative that we understand how to create and display the content we produce online in ways that are sustainable and accessible.
This assignment, while slated for Art 109, may be slotted into an earlier ...
Automated Extraction Of Key Words And Abstract, 2021 Western University
Automated Extraction Of Key Words And Abstract, Oluwadarasimi Temitope Ogunshote Mr.
Undergraduate Student Research Internships Conference
An application/program that automates the extraction of key words and abstracts from documents.
Interdomain Route Leak Mitigation: A Pragmatic Approach, 2021 University of Tennessee, Knoxville
Interdomain Route Leak Mitigation: A Pragmatic Approach, Benjamin Tyler Mcdaniel
The Internet has grown to support many vital functions, but it is not administered by any central authority. Rather, the many smaller networks that make up the Internet - called Autonomous Systems (ASes) - independently manage their own distinct host address space and routing policy. Routers at the borders between ASes exchange information about how to reach remote IP prefixes with neighboring networks over the control plane with the Border Gateway Protocol (BGP). This inter-AS communication connects hosts across AS boundaries to build the illusion of one large, unified global network - the Internet. Unfortunately, BGP is a dated protocol that allows ASes ...
Neural Architecture Search Of Spd Manifold Networks, 2021 Singapore Management University
Neural Architecture Search Of Spd Manifold Networks, R.S. Sukthanker, Zhiwu Huang, S. Kumar, E. G. Endsjo, Y. Wu, Gool L. Van
Research Collection School Of Computing and Information Systems
In this paper, we propose a new neural architecture search (NAS) problem of Symmetric Positive Definite (SPD) manifold networks, aiming to automate the design of SPD neural architectures. To address this problem, we first introduce a geometrically rich and diverse SPD neural architecture search space for an efficient SPD cell design. Further, we model our new NAS problem with a one-shot training process of a single supernet. Based on the supernet modeling, we exploit a differentiable NAS algorithm on our relaxed continuous search space for SPD neural architecture search. Statistical evaluation of our method on drone, action, and emotion recognition ...
Material Detection With Thermal Imaging And Computer Vision: Potentials And Limitations, 2021 University of Arkansas, Fayetteville
Material Detection With Thermal Imaging And Computer Vision: Potentials And Limitations, Jared Poe
Graduate Theses and Dissertations
The goal of my masters thesis research is to develop an affordable and mobile infraredbased environmental sensoring system for the control of a servo motor based on material identification. While this sensing could be oriented towards different applications, my thesis is particularly interested in material detection due to the wide range of possible applications in mechanical engineering. Material detection using a thermal mobile camera could be used in manufacturing, recycling or autonomous robotics. For my research, the application that will be focused on is using this material detection to control a servo motor by identifying and sending control inputs based ...
Computational Frameworks For Multi-Robot Cooperative 3d Printing And Planning, 2021 University of Arkansas, Fayetteville
Computational Frameworks For Multi-Robot Cooperative 3d Printing And Planning, Laxmi Prasad Poudel
Graduate Theses and Dissertations
This dissertation proposes a novel cooperative 3D printing (C3DP) approach for multi-robot additive manufacturing (AM) and presents scheduling and planning strategies that enable multi-robot cooperation in the manufacturing environment. C3DP is the first step towards achieving the overarching goal of swarm manufacturing (SM). SM is a paradigm for distributed manufacturing that envisions networks of micro-factories, each of which employs thousands of mobile robots that can manufacture different products on demand. SM breaks down the complicated supply chain used to deliver a product from a large production facility from one part of the world to another. Instead, it establishes a network ...