Computer Sciences Commons^™

Iot Tracking System Effectiveness In Enhancing Library Services, Khulud Alawaji

Theses and Dissertations

The advantages that the Internet of Things (IoT) provides lead to an increase in the number of IoT solutions that integrate different fields. One of the important IoT contributions is in location-based IoT applications, which leverage the Indoor Positioning System (IPS) technology. IPS uses numerous technologies; one is the Beacon technology, which is based on a small wireless sensor device used to send signals. IPS based Beacon technology used in college libraries to increase the productivity, accuracy, safety, and efficiency of daily processes. This research proposed an IoT Beacon-based tracking system concept to be applied at Evans Library at Florida …

Blockchain Interoperability With Cross-Chain Stablecoin Payments, Ravi Balvantrai Pandhi

Theses and Dissertations

A Peer-to-peer payment system was one of the first proposed applications of blockchain technology. Cryptocurrencies have instead been used as a speculative investment. Stablecoins worth approximately 7 billion USD circulate the cryptocurrency market today, presenting a good case for their use in cryptocurrency payments [2]. Stablecoins have also been issued on a variety of blockchains that operate balkanized from each other. Cross-chain transfer between stablecoins is currently enabled by centralized middlemen. The actions of putting stablecoin transfer in the hands of intermediaries is a path towards centralization of control opposite to the decentralization ideology of blockchains. The inter blockchain transfer …

Iot-Based Solutions For Privacy-Preservation During Interaction With Assistive Robotics, Tahani Ali Albuluwi

Theses and Dissertations

As mobile robot technologies become pervasive in daily life settings and share physical space with regular people, privacy concerns and complications arise. In particular, the independent and enhanced mobility features of mobile robots raise the potential of privacy violations through continuous surveillance, access to privacy-sensitive locations, or opportunities for witnessing embarrassing situations. In this paper, an IoT-based solution concept called PrivateLoc is proposed to empower end-users with the ability to use smartwatches to restrict robot perception and movement at home dynamically according to end-users’ privacy preferences, conditions, or locations. Thus, descriptive research was conducted using structured surveys with 104 participants, …

A Blockchain Approach For Negotiating Trust In Iot, Skailer Knezevic

Theses and Dissertations

“The internet is no longer a web that we connect to. Instead, its a computerized, networked, and interconnected world that we live in. This is the future, and what were calling the Internet of Things.”- Bruce Schneier, 2019 The Internet of Things is becoming a big part of our lives. Every year there are more devices with the capability to connect on the internet and communicate with each other. Today there are over 400 million IoT devices in the world, and this number is predicted to grow to 1.5 billion devices by 2022 [14]. It is becoming more difficult to …

Reliability Improvement On Feasibility Study For Selection Of Infrastructure Projects Using Data Mining And Machine Learning, Xi Hu

Theses and Dissertations

With the progressive development of infrastructure construction, conventional analytical methods such as correlation index, quantifying factors, and peer review are no longer satisfactory in support for decision-making of implementing an infrastructure project in the age of big data. This study proposes using a mathematical model named Fuzzy-Neural Comprehensive Evaluation Model (FNCEM) to improve the reliability of the feasibility study of infrastructure projects by using data mining and machine learning. Specifically, the data collection on time-series data, including traffic videos (278 Gigabytes) and historical weather data, uses transportation cameras and online searching, respectively. Meanwhile, the researcher sent out a questionnaire for …

E-Archive, Florian Hyseni

Theses and Dissertations

Pasi që jemi konsultuar me prof.Ramiz Hoxha dhe prof.Murat Retkoceri kemi vënë re që një sistem i cili do të kryente menaxhimin e të gjithë dokumentave në menyrë të automatizuar dhe digjitalizuar nuk ekziston në rajonin tonë. Sistem i cili do të përshpetoj të gjitha punët të cilët kanë të bëjnë me dokumenta fizike, dhe kemi vendosur që ta marim përsipër këtë sistem si projekt zhvillues për temë diplome un Festim Shabani dhe Florian Hyseni në mbikqyrje të prof.Ramiz Hoxha dhe prof.Murat Retkoceri. Si kërkesa bazike të sistemit tonë janë ruajtja dhe kërkimi i dokumenteve në menyrë të automatizuar dhe …

Analiza E Migrimit Të Data Warehouse Nga Ibm Datastage Në Odi 11g, Leutrim Sylkaj

Theses and Dissertations

Migrimi i të dhënave është procesi i zgjedhjes, përgatitjes, nxjerrjes, transformimit të të dhënave dhe transferimit të përhershëm të tyre nga një sistem/aplikacion kompjuterik në të cilin janë të ruajtura të dhënat në një sistem/aplikacion tjetër kompjuterik.

Në kompanitë e mëdha në ditët e sotme luan rol të rëndësishëm performanca dhe kualiteti i të dhënave gjatë procesit ETL(Ekstraktimit, Transformimit dhe Transferimit) të të dhënave në Data Warehouse.Pas hulumtimeve kemi arritur në përfundim që problem për disa nga kompanitë e mëdha të cilat si aplikacion bazë për transferimin e të dhënave nga burimet e ndryshme të të dhënave në Data Warehouse …

Iot Security With Blockchain Solution, Arber Murati

Theses and Dissertations

IoT është një teknologji me një potencial, impakt dhe rritje të jashtzakonshme. Sot, prodhimi momental i të dhënave nga paisjet teknologjike llogaritet të jetë rreth 2.5 quintillion bytes gjdo ditë. Për të pasur një kuptim më figurativ, 2.5 quntillion cent në monedha do të mbulonin sipërfaqën e globit për rreth 5 herë nëse token do ta përcaktonim si të sheshtë. Sipas hulumtimeve të fundit, deri në vitin 2025 diku rreth 41.6-miliard paisje IoT do të jenë online si dhe 30 % e të gjitha të dhënave do të duhen të procesohen në real-time. Hakerët shpesh fitojnë qasje në pajisje fundore …

Analiza Dhe Performanca E Rrjetit Kompjuterik Në Komunën E Lipjanit, Daut Azemi

Theses and Dissertations

Ne jetojmë në një botë të zhvillimit të hovshëm të teknologjisë, një botë në të cilën njerëzit janë të rrethuar nga pajisjet teknologjike, të cilat mund t’i hasim në çdo ambient kudo që ndodhemi, si për shembull: shtëpi, shkolla, lokale apo edhe nëpër ndërmarrje dhe biznese të ndryshme.

Sot “teknologjia po na magjeps”, ne kërkojmë që ajo të sjellë ndryshime në jetën tonë dhe sidomos në arsim, në ditët e sodit nuk ka shkollë, që nuk ka internet e në të cilën nuk ka nevojë për Rrjeta Kompjuterike brenda shkollës. Sot në Komunat e Kosovës kanë filluar të përdoren disa …

From Cellular To Holistic: Development Of Algorithms To Study Human Health And Diseases, Casey Anne Cole

Theses and Dissertations

The development of theoretical computational methods and their application has become widespread in the world today. In this dissertation, I present my work in the creation of models to detect and describe complex biological and health related problems. The first major part of my work centers around the creation and enhancement of methods to calculate protein structure and dynamics. To this end, substantial enhancement has been made to the software package REDCRAFT to better facilitate its usage in protein structure calculation. The enhancements have led to an overall increase in its ability to characterize proteins under difficult conditions such as …

A Machine Learning Based Approach To Accelerate Catalyst Discovery, Asif Jamil Chowdhury

Theses and Dissertations

Computational catalysis, in contrast to experimental catalysis, uses approximations such as density functional theory (DFT) to compute properties of reaction intermediates. But DFT calculations for a large number of surface species on variety of active site models are resource intensive. In this work, we are building a machine learning based predictive framework for adsorption energies of intermediate species, which can reduce the computational overhead significantly. Our work includes the study and development of appropriate machine learning models and effective fingerprints or descriptors to predict energies accurately for different scenarios. Furthermore, Bayesian inverse problem, that integrates experimental catalysis with its computational …

An Overlay Architecture For Pattern Matching, Rasha Elham Karakchi

Theses and Dissertations

Deterministic and Non-deterministic Finite Automata (DFA and NFA) comprise the fundamental unit of work for many emerging big data applications, motivating recent efforts to develop Domain-Specific Architectures (DSAs) to exploit fine-grain parallelism available in automata workloads.

This dissertation presents NAPOLY (Non-Deterministic Automata Processor Over- LaY), an overlay architecture and associated software that attempt to maximally exploit on-chip memory parallelism for NFA evaluation. In order to avoid an upper bound in NFA size that commonly affects prior efforts, NAPOLY is optimized for runtime reconfiguration, allowing for full reconfiguration in 10s of microseconds. NAPOLY is also parameterizable, allowing for offline generation of …

Relational Database Design And Multi-Objective Database Queries For Position Navigation And Timing Data, Sean A. Mochocki

Theses and Dissertations

Performing flight tests is a natural part of researching cutting edge sensors and filters for sensor integration. Unfortunately, tests are expensive, and typically take many months of planning. A sensible goal would be to make previously collected data readily available to researchers for future development. The Air Force Institute of Technology (AFIT) has hundreds of data logs potentially available to aid in facilitating further research in the area of navigation. A database would provide a common location where older and newer data sets are available. Such a database must be able to store the sensor data, metadata about the sensors, …

Cyber-Physical System Intrusion: A Case Study Of Automobile Identification Vulnerabilities And Automated Approaches For Intrusion Detection, David R. Crow

Theses and Dissertations

Today's vehicle manufacturers do not tend to publish proprietary packet formats for the controller area network (CAN), a network protocol regularly used in automobiles and manufacturing. This is a form of security through obscurity -it makes reverse engineering efforts more difficult for would-be intruders -but obfuscating the CAN data in this way does not adequately hide the vehicle's unique signature, even if these data are unprocessed or limited in scope. To prove this, we train two distinct deep learning models on data from 11 different vehicles. Our results clearly indicate that one can determine which vehicle generated a given sample …

Sliver: Simulation-Based Logic Bomb Identification/Verification For Unmanned Aerial Vehicles, Jake M. Magness

Theses and Dissertations

This research introduces SLIVer, a Simulation-based Logic Bomb Identification/Verification methodology, for finding logic bombs hidden within Unmanned Aerial Vehicle (UAV) autopilot code without having access to the device source code. Effectiveness is demonstrated by executing a series of test missions within a high-fidelity software-in-the-loop (SITL) simulator. In the event that a logic bomb is not detected, this methodology defines safe operating areas for UAVs to ensure to a high degree of confidence the UAV operates normally on the defined flight plan. SLIVer uses preplanned flight paths as the baseline input space, greatly reducing the input space that must be searched …

Honeyhive - A Network Intrusion Detection System Framework Utilizing Distributed Internet Of Things Honeypot Sensors, Zachary D. Madison

Theses and Dissertations

Exploding over the past decade, the number of Internet of Things (IoT) devices connected to the Internet jumped from 3.8 billion in 2015 to 17.8 billion in 2018. Because so many IoT devices remain upatched, unmonitored, and left on, they have become a tantalizing target for attackers to gain network access or add another device to their botnet. HoneyHive is a framework that uses distributed IoT honeypots as Network Intrusion Detection Systems (NIDS) sensors that beacon back to a centralized Command and Control (C2) server. The tests in this experiment involve four types of scans and four levels of active …

Extracting Range Data From Images Using Focus Error, Erik M. Madden

Theses and Dissertations

Air-to-air refueling (AAR) has become a staple when performing long missions with aircraft. With modern technology, however, people have begun to research how to perform this task autonomously. Automated air-to-air refueling (A3R) is this exact concept. Combining many different systems, the idea is to allow computers on the aircraft to link up via the refueling boom, refuel, and detach before resuming pilot control. This document lays out one of the systems that is needed to perform A3R, namely, the system that extracts range data. While stereo cameras perform such tasks, there is interest in finding other ways of accomplishing the …

Comparison Of Visual Simultaneous Localization And Mapping Methods For Fixed-Wing Aircraft Using Slambench2, Patrick R. Latcham

Theses and Dissertations

Visual Simultaneous Localization and Mapping (VSLAM) algorithms have evolved rapidly in the last few years, however there has been little research evaluating current algorithm's effectiveness and limitations when applied to tracking the position of a fixed-wing aerial vehicle. This research looks to evaluate current monocular VSLAM algorithms' performance on aerial vehicle datasets using the SLAMBench2 benchmarking suite. The algorithms tested are MonoSLAM, PTAM, OKVIS, LSDSLAM, ORB-SLAM2, and SVO, all of which are built into the SLAMBench2 software. The algorithms' performance is evaluated using simulated datasets generated in the AftrBurner Engine. The datasets were designed to test the quality of each …

A General Methodology To Optimize And Benchmark Edge Devices, Kyle J. Smathers

Theses and Dissertations

The explosion of Internet Of Things (IoT), embedded and “smart” devices has also seen the addition of “general purpose” single board computers also referred to as “edge devices.” Determining if one of these generic devices meets the need of a new given task however can be challenging. Software generically written to be portable or plug and play may be too bloated to work properly without significant modification due to much tighter hardware resources. Previous work in this area has been focused on micro or chip-level benchmarking which is mainly useful for chip designers or low level system integrators. A higher …

Object Detection With Deep Learning To Accelerate Pose Estimation For Automated Aerial Refueling, Andrew T. Lee

Theses and Dissertations

Remotely piloted aircraft (RPAs) cannot currently refuel during flight because the latency between the pilot and the aircraft is too great to safely perform aerial refueling maneuvers. However, an AAR system removes this limitation by allowing the tanker to directly control the RP A. The tanker quickly finding the relative position and orientation (pose) of the approaching aircraft is the first step to create an AAR system. Previous work at AFIT demonstrates that stereo camera systems provide robust pose estimation capability. This thesis first extends that work by examining the effects of the cameras' resolution on the quality of pose …

Event-Based Visual-Inertial Odometry Using Smart Features, Zachary P. Friedel

Theses and Dissertations

Event-based cameras are a novel type of visual sensor that operate under a unique paradigm, providing asynchronous data on the log-level changes in light intensity for individual pixels. This hardware-level approach to change detection allows these cameras to achieve ultra-wide dynamic range and high temporal resolution. Furthermore, the advent of convolutional neural networks (CNNs) has led to state-of-the-art navigation solutions that now rival or even surpass human engineered algorithms. The advantages offered by event cameras and CNNs make them excellent tools for visual odometry (VO). This document presents the implementation of a CNN trained to detect and describe features within …

Near Real-Time Zigbee Device Discrimination Using Cb-Dna Features, Yousuke Z. Matsui

Theses and Dissertations

Currently, Low-Rate Wireless Personal Area Networks (LR-WPAN) based on the Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard are at risk due to open-source tools which allow bad actors to exploit unauthorized network access through various cyberattacks by falsifying bit-level credentials. This research investigates implementing a Radio Frequency (RF) air monitor to perform Near RealTime (NRT) discrimination of Zigbee devices using the IEEE 802.15.4 standard. The air monitor employed a Multiple Discriminant Analysis/Euclidean Distance classifier to discriminate Zigbee devices based upon Constellation-Based Distinct Native Attribute (CB-DNA) fingerprints. Through the use of CB-DNA fingerprints, Physical Layer (PHY) characteristics unique to …

Newhope: A Mobile Implementation Of A Post-Quantum Cryptographic Key Encapsulation Mechanism, Jessica A. Switzler

Theses and Dissertations

NIST anticipates the appearance of large-scale quantum computers by 2036 [34], which will threaten widely used asymmetric algorithms, National Institute of Standards and Technology (NIST) launched a Post-Quantum Cryptography Standardization Project to find quantum-secure alternatives. NewHope post-quantum cryptography (PQC) key encapsulation mechanism (KEM) is the only Round 2 candidate to simultaneously achieve small key values through the use of a security problem with sufficient confidence its security, while mitigating any known vulnerabilities. This research contributes to NIST project’s overall goal by assessing the platform flexibility and resource requirements of NewHope KEMs on an Android mobile device. The resource requirements analyzed …

Applying Data Organizational Techniques To Enhance Air Force Learning, Jacob A. Orner

Theses and Dissertations

The USAF and the DoD use traditional schoolhouses to educate and train personnel. The physical aspects of these schoolhouses limit throughput. A method to increase throughput is to shift towards an asynchronous learning environment where students move through content at individually. This research introduces a methodology for transforming a set of unstructured documents into an organized TM students can use to orient themselves in a domain. The research identifies learning paths within the TM to create a directed KSAT. We apply this methodology in four case studies, each an education or training course. Using a graph comparison metric and the …

Developing A Serious Game To Explore Joint All Domain Command And Control, Nathaniel W. Flack

Theses and Dissertations

Changes in the geopolitical landscape and increasing technological complexity have prompted the U.S. Military to coin Multi-Domain Operations (MDO) and Joint All-Domain Command and Control as terms to describe an over-arching strategy that frames the complexity of warfare across both traditional and emerging warfighting domains. Teaching new and advanced concepts associated with these terms requires both innovation as well as distinct education and training tools in order to realize the cultural change advocated by senior military leaders. BSN, a Collectible Card Game, was developed to teach concepts integral to MDO and initiate discussion on military strategy.

Maximizing Accuracy Through Stereo Vision Camera Positioning For Automated Aerial Refueling, Kirill A. Sarantsev

Theses and Dissertations

Aerial refueling is a key component of the U.S. Air Force strategic arsenal. When two aircraft interact in an aerial refueling operation, the accuracy of relative navigation estimates are critical for the safety, accuracy and success of the mission. Automated Aerial Refueling (AAR) looks to improve the refueling process by creating a more effective system and allowing for Unmanned Aerial Vehicle(s) (UAV) support. This paper considers a cooperative aerial refueling scenario where stereo cameras are used on the tanker to direct a \boom" (a large, long structure through which the fuel will ow) into a port on the receiver aircraft. …

The Water Is Always Running: Vaporwave, Fluxus, And The Role Of Defamiliarization In Music-Led Virtual Realities, Zachary William Buckley

Theses and Dissertations

This thesis examines how a Fluxus approach to participatory music can leverage environmental metaphors and affordances, heighten user awareness of their interactions through a making-strange approach to musical interaction, and balance functional and creative user experiences in a meaningful and participatory musical interaction. This research has been conducted using the virtual reality experience The Water Is Always Running. This work presents an unusual music-making environment, a 3D kitchen with dishwashing simulation, to explore how a making-strange approach to musical interaction and participation can heighten the awareness of process for the user. To create this work, ideas have been leveraged from …

Intelegjenca Artificiale Në Big Data, Betina Hyseni

Theses and Dissertations

Të gjitha të dhënat në botë, duke filluar nga të dhënat më të thjeshta të shkruara në letër e deri tek të dhënat më të ndërlikuara që i posedojnë industritë e ndryshme kanë qenë pjesë e Big Data para se të kuptonin se ajo ekzistonte. Të dhënat rriten vazhdimisht dhe është shumë e vështirë që ti përdorim secilën prej tyre.

Të gjitha këto të dhëna përmbajnë në vete një informacion të vlefshëm që do ti ndihmonte një individi apo industrive përkatëse të marrin vendime të rëndësishme afat-shkurta apo afat-gjata. Kur kemi të bëjmë me të dhëna të mëdha dhe të …

Detektimi I Animit Politik Përmes Uebit Semantik Duke Përdorur Analizën E Sentimenteve, Dea Macula

Theses and Dissertations

Shfaqja e uebit 2.0 ka ndryshuar drastikisht mënyrën se si përdoruesit perceptojnë Internetin, duke përmirësuar shkëmbimin e informacionit, bashkëpunimin dhe ndërveprimin. Një pjesë e rëndësishme e punës sonë për mbledhjen e informacioneve ka qenë për të zbuluar se çfarë mendojnë individët tjerë me informacionet që ata i shpërndajnë. Me rritjen dhe popullaritetin e burimeve të pasura me opinione, siç janë faqet në Internet dhe blogjet personale, lindin mundësi dhe sfida të reja për njerëzit që të përdorin teknologjitë e informacionit për të kërkuar dhe kuptuar mendimet e të tjerëve. Popullariteti i papritur i aktivitetit në fushën e kërkimit të opinionit …

Klasifikimi I Imazheve Në Machine Learning Duke Përdorur Javascript, Endrit Kryeziu

Theses and Dissertations

Synimi kryesor i intelegjencës artificiale është të ndërtohet një makinë e cila mund të imitoj intelegjencën e njeriut. Për nga shkalla e vështirësisë është sikur të arrihet të eksplorohet i gjithë universi. Është e vështirë të parashikohet e ardhmja kur e dijmë se intelegjenca artificiale ekziston që nga viti 1950, por vetëm vitet e fundit ka filluar të diskutohet për të. Edhe web si platformë po bën përparim të madh, duke ju mundësuar zhvilluesve t’i përdorin këto teknologji. Ekzistojnë shumë librari dhe framework disa prej të cilave janë zhvilluar nga Google dhe Facebook. Përdorimin e tyre e gjejmë në vende …