Digital Commons Network^™

Integrated Building Assessment To Enable Retrofit Design, Fabrication And Verification: A Drone-Based Approach, Paul Crovella

SyracuseCoE

Buildings account for approximately 40% of annual greenhouse gas emissions in the United States. In New York State, approximately 80% of residential and commercial buildings were constructed before the emerging energy codes in the 1970s [1]. Therefore, there is a significant need for affordable and scalable building retrofit solutions with low embodied emissions to meet the targets in the NYS Climate Leadership and Community Protection Act of 2019. A building energy audit is the initial step to quantify a building's energy performance and reveal its energy-saving potential. However, performing a high-level energy audit requires detailed field analysis and is often …

The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña

Social Science - All Scholarship

This work formulates the hazard prediction problem while addressing the research question: Can machine learning create a model to automatically recognize patterns that correspond to hazard state conditions during a mission-critical operation? Supervised learning models were trained and tested on data observed from mission simulators, which allowed for safe observation of dynamic system states and undesirable casualty events. The prediction task was formulated as a binary classification problem, producing the probability of being in a hazard state at time t and providing situational awareness of a possible imminent loss. Several modeling architectures were investigated: neural networks, logistic regression, a support …

Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim

CMC Senior Theses

Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …

An Unsupervised Learning Framework For Determining The Excitation Coefficients Using Near-Field Antenna Measurements, Yanming Zhang, Peifeng Ma, Steven Gao, Lijun Jiang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This article presents a novel unsupervised learning framework based on multiscale dynamic mode decomposition for determining the excitation coefficients of antennas using time-domain near-field measurements. The proposed framework integrates temporal multiscale analysis to extract a joint distribution of frequency, damping factors, and spatial modes, enabling precise extraction of excitation frequencies, rising/falling edges, and phases without labeled data. We validate the effectiveness of the proposed approach through two examples involving on-off keying modulation and a phase-shift dipole antenna. It is found that the proposed method performs well in handling nonstationary excitation signals and proves particularly advantageous for calibrating tunable antenna systems. …

การเสริมการจำแนกภูมิประเทศด้วยการวิเคราะห์พืชพรรณ สำหรับหุ่นยนต์เคลื่อนที่อัตโนมัติภายนอกอาคาร, พัณณ์นิกา มุกด์สุวรรณ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในงานวิจัยด้านการนำทางของหุ่นยนต์เคลื่อนที่อัตโนมัติ การจำแนกภูมิประเทศในสภาพแวดล้อมกลางแจ้งถือเป็นหัวข้อสำคัญ โดยเฉพาะในสภาพแวดล้อมที่มีความซับซ้อน เช่น พื้นที่ป่าไม้ ซึ่งมักเต็มไปด้วยโครงสร้างแข็ง พื้นที่ขรุขระ หลุมลึก และพืชพรรณที่ขึ้นอย่างหนาแน่น ความแม่นยำในการจำแนกภูมิประเทศจึงเป็นปัจจัยสำคัญที่ช่วยให้หุ่นยนต์เคลื่อนที่อัตโนมัติสามารถเข้าใจสภาพแวดล้อมและนำทางผ่านพื้นที่ที่มีความท้าทายเหล่านี้ได้อย่างมีประสิทธิภาพ งานวิจัยนี้นำเสนอวิธีการจำแนกภูมิประเทศแบบเอชแอลดีวี (ความสูง-ระยะทาง-ความหนาแน่น-พืชพรรณ) ซึ่งเป็นการพัฒนาต่อยอดจากวิธีเอชแอลดี (ความสูง-ระยะทาง-ความหนาแน่น) แบบดั้งเดิม โดยเพิ่มคุณลักษณะเกี่ยวกับพืชพรรณ (v) เข้าไปในโมเดล จากเดิมที่ใช้เพียง 3 คุณลักษณะ ได้แก่ ความแตกต่างของความสูง (h) ระยะทาง (l) และความหนาแน่น (d) เพื่อเพิ่มความแม่นยำในการระบุพื้นที่ปลอดภัยและพื้นที่อันตรายสำหรับหุ่นยนต์ ผลการทดลองแสดงให้เห็นว่า ตัวจำแนกเอชแอลดีวีช่วยเพิ่มความสามารถของหุ่นยนต์ในการนำทางผ่านพื้นที่ที่ถูกปกคลุมด้วยพืชพรรณได้อย่างมีนัยสำคัญ โดยเฉพาะอย่างยิ่งเมื่อใช้ฟังก์ชันแบบกฎยกกำลังในโมเดลคุณลักษณะด้านพืชพรรณ การพัฒนานี้ส่งผลโดยตรงต่อการปรับปรุงประสิทธิภาพในการวางแผนเส้นทาง ทำให้หุ่นยนต์เคลื่อนที่อัตโนมัติสามารถปฏิบัติงานได้ดียิ่งขึ้นในสภาพแวดล้อมกลางแจ้งที่มีความท้าทายสูง

การวิเคราะห์พื้นที่เหมาะสมในการติดตั้งโซล่าร์เซลล์บนหลังคา ของภาคอุตสาหกรรมในประเทศไทย, วนิดา คำแท่ง

Chulalongkorn University Theses and Dissertations (Chula ETD)

ประเทศไทยมีความต้องการใช้พลังงานไฟฟ้าสูงขึ้นอย่างต่อเนื่อง ส่งผลให้ภาคอุตสาหกรรมเริ่มหันมาใช้พลังงานไฟฟ้าจากโซล่าร์เซลล์กันมากขึ้น งานวิจัยนี้มุ่งเน้นการประเมินปัจจัยที่มีอิทธิพลต่อความเหมาะสมในการติดตั้งโซล่าร์เซลล์บนหลังคาของภาคอุตสาหกรรมในประเทศไทย โดยใช้กระบวนการ F-AHP ในการหาค่าความสำคัญของปัจจัย พบว่าปัจจัยด้านรังสีดวงอาทิตย์ (0.3618) และอุณหภูมิอากาศ (0.1407) เป็นปัจจัยที่มีค่าน้ำหนักสัมพัทธ์มากที่สุด รวมกันคิดเป็นกว่าครึ่งของปัจจัยทั้งหมด จากนั้นจึงนำปัจจัยทั้งสองไปใช้วิเคราะห์หาพื้นที่ที่เหมาะสมด้วยกระบวนการ F-TOPSIS พบว่า ภาคตะวันออกเฉียงเหนือ (0.8028) และภาคใต้ฝั่งตะวันออก (0.8028) มีความเหมาะสมสูงสุด โดยเฉพาะจังหวัดมหาสารคาม (0.8642) และจังหวัดร้อยเอ็ด (0.8642) ที่มีค่าสัมประสิทธิ์ความใกล้ชิดสัมพัทธ์สูงที่สุด เนื่องจากค่าที่ดีที่สุดจะใกล้เคียงกับค่าอุดมคติเชิงบวกและค่าที่แย่ที่สุดจะไกลจากค่าอุดมคติเชิงลบ นอกจากนี้การเปรียบเทียบผลการวิเคราะห์แบบ Fuzzy และ Non-Fuzzy แสดงให้เห็นว่าแม้ผลการจัดลำดับปัจจัยจะมีความใกล้เคียงกันในกระบวนการ AHP แต่ผลการจัดลำดับพื้นที่จาก TOPSIS มีความแตกต่างกันอย่างชัดเจน โดยวิธีการแบบ Fuzzy สามารถรองรับความไม่แน่นอนของข้อมูลได้ดีกว่า สามารถแยกแยะความแตกต่างระหว่างปัจจัยได้อย่างมีประสิทธิภาพ และสะท้อนกระบวนการตัดสินใจที่ใกล้เคียงกับมนุษย์ได้มากยิ่งขึ้น งานวิจัยนี้มีประโยชน์ในการสนับสนุนการวางแผนและตัดสินใจลงทุนของผู้ประกอบการในภาคอุตสาหกรรม โดยเฉพาะในด้านการสร้างโรงงานใหม่หรือพัฒนาโรงงานด้วยการติดตั้งระบบผลิตไฟฟ้าจากพลังงานแสงอาทิตย์

Evaluating Flood Hazards And Damage On Paddy Fields: A Case Study Of The Prek Thnot River Basin, Cambodia, Koem Sreang Ka

Chulalongkorn University Theses and Dissertations (Chula ETD)

Flooding is a pervasive natural hazard that leads to substantial damage, economic losses, and social disruption. In Cambodia, the Lower Mekong River basin is particularly prone to recurrent flooding due to seasonal monsoons. The Prek Thnot River, a Bassac and Mekong Rivers tributary, experiences heightened flood risks from heavy rainfall and fluctuating water levels. This study aims to assess flood inundation hazards during extreme events and evaluate paddy damage within the Prek Thnot River Basin (PTRB). By analyzing rainfall data from eight monitoring stations, we performed a frequency analysis. The LP3 distribution is identified as the most optimal distribution for …

Integrated Socio-Economic Analysis Of Drought Impacts On Agricultural Areas In Sukhothai Province, Thailand, Thanasit Promping

Chulalongkorn University Theses and Dissertations (Chula ETD)

Drought is a prolonged period of deficient precipitation that can result in significant water-related challenges across the globe. It may arise from multiple factors, including reduced rainfall, limited water availability, and low soil moisture content. To effectively assess and monitor drought conditions, drought indicators and indices are essential tools for determining the severity, spatial extent, and duration of drought events. This study introduces the development of the Composite Drought Hazard Index (CDHI), a comprehensive methodology that incorporates multiple drought-related parameters using appropriate weighting factors. The CDHI integrates the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), Standardized Groundwater Index (SGI), …

Factors Influencing Household Travel Behavior And Trip Distances In Florida: A Rural Vs. Urban Perspective, Kadeem Lafargue

UNF Graduate Theses and Dissertations

This thesis investigates disparities in travel behaviors between rural and urban populations in the United States, with a specific focus on Florida. Leveraging data from the 2017 National Household Travel Survey (NHTS), the study examines demographic factors such as age, income, and household size, and their influence on travel patterns. By employing statistical methods including Poisson and negative binomial regression models, the research explores two key variables: the frequency of trips made per day and the average trip distance in miles. These models are particularly effective in handling overdispersion in count data, ensuring a robust analysis of travel behaviors across …

Digital Innovation Roadmap For Construction Industry: Bridging The Gap For Future, Nisa Zahin

Theses and Dissertations--Civil Engineering

Digitalization has considerable value in the digital transformation of the construction business. It means the use of digital technologies to create revenue, improve business, increase profit and sustainability, and create an environment for digital business whereby digital information is at the core. As such, digital transformation requires skills that involve extracting and exchanging data and analyzing and converting that data into actionable information. In addition to technological solutions, a paramount need is to ensure that the people using these solutions and the processes used to integrate, coordinate between teams, and continuously improve the use of technology are in place. Therefore, …

The Characterization, Assessment, And Shear Strength Of Turfgrass Soil In North American Thoroughbred Racing, Peter Schmitt

Theses and Dissertations--Biosystems and Agricultural Engineering

Minimizing catastrophic injuries to racehorses, which also protects the riders, is critical for the future of the Thoroughbred racing industry. While the causes of catastrophic injuries are multifactorial, the condition of the racing surface is one of only a few factors that affects all horses in competition. Horse racing surfaces must retain enough shear strength to support the hoof of a Thoroughbred at a gallop. Turfgrass racing surfaces also require healthy turf to reinforce the footing while also achieving a high infiltration rate to allow races to run on the turf soon after or even during rain. This research is …

The Efficacy Of Wetland Treatment Systems Used To Treat Runoff Mixtures From Different Landscapes Across Kentucky, Emily Nottingham

Theses and Dissertations--Biosystems and Agricultural Engineering

The overarching goal was to improve our understanding of the cumulative effect of increased use and occurrence of commonly detected contaminants of potential concern (CPCs) on nitrogen (N) transformation processes in wetlands. The central hypothesis was that those various mixtures of nutrients and CPCs entering treatment wetlands impact N removal pathways. The first study assessed the current state of the literature on the implications to N removal in wetlands in the presence of pesticides and antibiotics. 181 primary studies were identified. Removal efficiencies for nitrate varied widely across the studies, with CPCs impacting microbial communities. A knowledge gap remains in …

Geographical Variation In Songs Of Bachman’S Sparrow (Peucaea Aestivalis), L. Nguyen, K. Doñas, J. Jackson, R. Kannan

Journal of the Arkansas Academy of Science

We present an analysis of geographic variation in primary song components of the Near Threatened North American endemic, Bachman’s Sparrow (Peucaea aestivalis). These songs have 2 distinct portions: an introductory tweet we call the "whistle" and a more complex second portion that we call the "trill". We analyzed 327 songs from 111 recordings downloaded from eBird.org from the entire current range of the species. We grouped the recordings into 3 distinct geographic clusters, East, Central, and West. The data measured from spectrograms suggest a significant statistical difference among groups for 3 measured characteristics: frequency range of trill, number of horizontal …

Carbon Capture Device For Reducing Tailpipe Emissions, Elizabeth Dentzer , '24

Senior Theses, Projects, and Awards

This project explores the design and development of a small-scale CO₂ capture device, aimed at reducing carbon dioxide emissions from vehicle exhaust. The project harnesses a chemical reaction between calcium hydroxide (Ca(OH) ₂) and carbon dioxide (CO₂) to form solid calcium carbonate (CaCO₃), a process known to naturally capture CO₂. The efficiency of this reaction is enhanced by maintaining high humidity within the system from the exhaust gas, which accelerates carbonation and the formation of larger, more crystalline calcium carbonate particles. The design of the CO₂ capture device revolves around a …

Analytical And Machine Learning Modeling Of Direct Carbonation Of Natural Silicate Minerals, William Hanson

Dissertations, Master's Theses and Master's Reports

The climate-altering effects of atmospheric CO₂ make it necessary to develop innovative technologies that can remove it from the atmosphere. Mineral carbonation is a scalable technology to sequestrate and store CO2 in a stable carbonate mineral form. The efficiency of the mineral carbonation process depends on both feed mineralogy and process parameters. Comprehensive modeling and prediction of mineral carbonation efficiency for different CO₂ – reactive rocks has not been achieved in the past. In this thesis work, analytical and machine learning models are developed to predict the carbonation efficiency of dunite reactions. It is found that random forest …

Traveling The Pathway To A Culturally Competent Health Care Provider: Incorporating Study Abroad Into Your Curriculum, A L. Johnston Green, C J. Heffner

Clinical Practice in Athletic Training

Introduction: As athletic training employment settings expand and diversify, so does the patient population with whom these healthcare providers interact. This growth furthers the need to ensure that students enrolled in an athletic training program (ATP) accredited by the Commission on Accreditation of Athletic Training Education (CAATE) are educated to provide culturally competent care. Culturally competent care is provided when decisions made diminish the inequalities that may be present in a system based upon a patient’s individual circumstances. Implementing cultural competency education may be integrated into athletic training education in various manners as necessitated by each institution’s unique circumstances. Programs …

Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang

Electrical & Computer Engineering Faculty Publications

Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …

A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic

Electrical & Computer Engineering Faculty Publications

This paper reviews various sensor technologies for tank inspection, focusing on Light Detection and Ranging (LiDAR) and Hyperspectral Imaging (HSI) as advanced solutions for corrosion detection. These technologies are evaluated alongside traditional methods such as ultrasonic, electromagnetic, and thermographic inspections. This review highlights their potential to enhance inspection accuracy, reduce the limitations of manual inspection, and support integrated data analysis for comprehensive asset management. Additionally, this paper proposes a pathway for automating these techniques to streamline inspection processes and improve implementation in practical applications.

Resilience In The Wake Of Storms: Unveiling Spatiotemporal Mobility Dynamics Of Gulf Coast Communities Through Crowd-Sourced Data, Joswin Valerian Concessao

Computer Science and Engineering Theses - Archive

Flood events present substantial challenges for coastal communities, severely impacting public safety, transportation infrastructure, and overall livability. Tropical storms, hurricanes, and sea level rise can cause extensive damage to homes and critical systems, requiring costly and prolonged recovery efforts. Coastal transportation networks are particularly vulnerable to flooding, leading to road closures, increased congestion, restricted access to essential services, and long-term economic disruptions. Understanding the effects of flood events on mobility patterns is crucial for urban planning and effective disaster management.

This thesis utilizes motif analysis to examine transportation network disruptions and access patterns in Harrison County, Mississippi, during Hurricane Ida …

Modelling The Operational Energy Demands And Greenhouse Gas Emissions From Non-Domestic Building Stocks Applied To A German Case Study, Julian H. Bischof

Doctoral

This work is centred around the global shift towards a post-fossil-fuel era, driven by climate change. The research is motivated by the urgent need to facilitate this transition, specifically focusing on the non-domestic building sector, which contributes in the order of 10 % [233] of global greenhouse gas emissions. The study aims to bridge the research gap in openly available, commonly accepted, simple-to-understand, validated and/or verified models and representative data sets of non-domestic building stocks that can be used to guide policymakers towards achieving climate neutrality. The main research objective is to create a life-cycle methodology and tool for modelling …

A Rule-Based Hybrid Translation Model For Context-Aware Speech To Indian Sign Language Tasks, Dania Jaison

Master's Projects

In India, one of the most significant tools to communicate with the Deaf and Hard of Hearing (DHH) communities is Indian Sign Language(ISL). The issue of a scarcity of computational resources for ISL is even more pronounced when it comes to the translation of written or spoken English into ISL. This paper proposes a rule-based model for translation where the spoken english sentences are translated into ISL by focusing on the specific syntactic and grammatical differences between these two languages. ISL uses a simplified syntax unlike the nuanced sentence structures in English — we omit most of the auxiliary verbs …

Accelerating The Transition - Understanding And Addressing Barriers To Consumer Adoption Of Tesla Electric Vehicles., Jyothin Micheal

Business ETD Collections

This research investigates the key influences on adoption of electric vehicles (EVs): focusing on consumer perceptions, advances in technology and government incentives characteristics through Tesla. The study looks at the challenges to EV acceptance, such as charging infrastructure, cost and range anxiety through both qualitative and quantitative means along with potential motivators for adoption such as environmental benefits, financial incentives, technology advances. Consumer awareness, government policies and brand influence are identified having a High effect on EV adoption whereas work-place incentives have an Intermediate effect with high priority to Next. Key challenges are limited charging infrastructure and high upfront costs, …

Media And Internet Censorship In India: A Study Of Its History And Political-Economy, Ramesh Subramanian

Journal of International Technology and Information Management

The Indian Constitution, which came into force on January 26, 1950, guarantees various fundamental rights, such as the freedom of speech and expression, freedom of religion, rights to form association, as well as rights to privacy. Yet, since the adoption of the Constitution, the Indian citizen has been subject to varying degrees of media censorship and surveillance. This paper seeks to delve into the historical evolution of media and Internet censorship and surveillance in India. It shows how media censorship of varying types have existed since the British colonists introduced restrictive laws in order to expand and control the native …

Domain Switch On Sentiment Analysis Using Gradient Reversal Layer, Hemish Veeraboina

Master's Projects

Switching domains in sentiment analysis presents the challenge of transferring learned knowledge from one context to another without the need to label data. Traditional methods often struggle when dealing with differences in data distribution a problem known as the domain shift issue. To tackle this using Gradient Reversal Layers (GRL) has emerged as a solution for adapting to different domains in an unsupervised learning setting. This study introduces an enhancement to the standard GRL approach by incorporating a sigmoid function that gradually adjusts how intensely domain adaptation occurs during training. This upgraded GRL technique ensures controlled learning outcomes making it …

On The Understanding Of The Coastal-Urban Nexus Of Weather, Air Quality And Energy, Harold Gamarro

Dissertations and Theses

Urban environments exhibit complex interactions between atmospheric processes, building energy consumption, and air quality, particularly during periods of seasonal extremes such as summer ozone peaks and winter heating. Accurate representation of these interactions in urban modeling is crucial for understanding and addressing air pollution and energy management challenges in cities. This research presents a comprehensive study that advances urban atmosphere simulations by integrating building energy dynamics, air quality, and robust multi-source observational evaluation. Leveraging the Weather Research and Forecasting (WRF) model, coupled with a multilayer building environment parameterization (BEP) and a building energy model (BEM), with an improved boundary layer …

Keynote Address And Meeting Program, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Molecular Understanding And Design Of Deep Eutectic Solvents And Proteins Using Computer Simulations And Machine Learning, Usman Lame Abbas

Theses and Dissertations--Chemical and Materials Engineering

Hydrophobic deep eutectic solvents (DESs) have emerged as excellent extractants. A major challenge is the lack of an efficient tool to discover DES candidates. Currently, the search relies heavily on the researchers’ intuition or a trial-and-error process, which leads to a low success rate or bypassing of promising candidates. DES performance depends on the heterogeneous hydrogen bond environment formed by multiple hydrogen bond donors and acceptors. Understanding this heterogeneous hydrogen bond environment can help develop principles for designing high performance DESs for extraction and other separation applications. This work investigates the structure and dynamics of hydrogen bonds in hydrophobic DESs …

Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin

Publications

It is widely accepted that road traffic safety is a significant public health issue. One of the effective ways to improve road traffic safety is analyzing crash data to understand where traffic accidents occur, identify associated spatial and temporal patterns, and determine causation. In the State of New Mexico, locations of traffic accidents are currently visualized using a variety of static maps. Although these statics maps are easier to create and producers can control how users view the data, users cannot customize these maps to meet their special needs. That being said, new maps need to be created for any …

What Can We Learn From A Co-Creation Journey For A Quick Scan Digital Transformation Maturity Assessment Tool For Development Ngos?, Anand Sheombar

Journal of International Technology and Information Management

This paper describes the approach and lessons learned from a co-creation process with Dutch development NGOs to create a practical and easy-to-use assessment tool for practitioners to assess the organisation's maturity level of digital transformation. For this study, we applied a design science research methodology, specifically a six-step co-creation approach suitable for developing maturity models. The digital maturity assessment tool (quick scan) created is a domain- specific digital transformation maturity tool for development NGOs rather than a generally applicable tool. This artefact was evaluated using an eight-point Requirements framework for the development of digital maturity assessment tools. By developing a …

Autonomous Strike Uavs In Support Of Homeland Security Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming crucial tools in modern homeland security applications, primarily because of their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. This study focuses on the use of autonomous UAVs to conduct, as part of homeland security applications, strike missions against high-value terrorist targets. Owing to developments in ledger technology, smart contracts, and machine learning, activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of the challenges and preliminary solutions for the successful implementation of an autonomous UAV mission. Specifically, we …