Digital Commons Network^™

A Systematic Approach For Evaluating And Selecting Healthcare Waste Treatment Devices Using Owcm-Codas And Triangular Neutrosophic Sets, Asmaa Elsayed, Bilal Arain

Neutrosophic Systems with Applications

Healthcare is a fundamental aspect of human life, impacting individuals, communities, and societies. Investing in healthcare infrastructure, services, and education is essential for fostering a healthy, thriving population. Healthcare waste management is a critical aspect of public health, and it requires a concerted effort from healthcare facilities, governments, and communities to ensure that waste is managed in a way that minimizes risks to human health and the environment. This paper proposes a hybrid methodology combining the Opinion Weight Criteria Method (OWCM) and the Combinative Distance-Based Assessment (CODAS) within the framework of Triangular Neutrosophic Sets (TNS) to evaluate and select the …

Design Of A Satellite Tracking Mobile App Using Flutter And Android Studio Ide, Audrey Tahwa

USF Tampa Graduate Theses and Dissertations

A pop-up free mobile application was developed utilizing one-minute intervals for positiontracking. Predictions are conducted off-line after the user has connected at least once. In In order to enhance data accuracy, the application includes a feature to download satellite data and update raw data to be used in prediction calculations. Additionally, users receive a notification when the application is ready for offline use.

A Systematic Approach For Evaluating And Selecting Healthcare Waste Treatment Devices Using Owcm-Codas And Triangular Neutrosophic Sets, Asmaa Elsayed, Bilal Arain

Neutrosophic Systems with Applications

Healthcare is a fundamental aspect of human life, impacting individuals, communities, and societies. Investing in healthcare infrastructure, services, and education is essential for fostering a healthy, thriving population. Healthcare waste management is a critical aspect of public health, and it requires a concerted effort from healthcare facilities, governments, and communities to ensure that waste is managed in a way that minimizes risks to human health and the environment. This paper proposes a hybrid methodology combining the Opinion Weight Criteria Method (OWCM) and the Combinative Distance-Based Assessment (CODAS) within the framework of Triangular Neutrosophic Sets (TNS) to evaluate and select the …

Towards Environmentally Sustainable Preservation Of Heritage Buildings, Rozal Rozal Yousef Hanna1, Ayman Gamal El-Din Abd El- Tawab2, Walaa Abou El- Haggag Mehanna3

Journal of Engineering Research

The construction industry, characterized by its intricate processes and extensive stakeholder networks, stands at the cusp of a digital revolution. The adoption of blockchain-smart contract (BCSC) technology is at the heart of this transformation. This research delves deep into the BCSC within the construction arena to provide comprehensive insight into its probable applications, inherent challenges, and potential future trajectories. Leveraging the PRISMA analysis technique, a curated collection of relevant academic research articles was assembled, shedding light on the existing body of knowledge regarding the application of BCSC technology in construction. The authors developed an innovative user interface tool customized to …

Review: Protection Of Wooden Structures With Nano-Titanium Dioxide Coating, Zienab Zienab A. Ahmed1*, And M. M. Mosallem2

Journal of Engineering Research

Wood is widely used for various purposes with good performance. Wood works as the main material for furniture, monuments, decorations and constructions. which has the close relationship with human. Durability of wood is important in ensuring an appropriate life for the structure being designed. Wooden construction deteriorates easily due to UV radiation and weather conditions. Many of wood types need a preservative treatment. Several compounds are available for chemical protection, but not all are completely safe for human health. New technologies with low environmental impact and economically feasible are developed, which improves the life cycle of wood. Titanium dioxide is …

Urbanism Strategies For Linking Existing And New Cities, Naglaa J. Q. Mo’Men Abdel-Qader Ebrahim1, Mohsen Bayad2

Journal of Engineering Research

New cities, designed for urban growth outside existing metropolitan regions, face challenges in street infrastructure due to rapid expansion. Efficient control of mobility is crucial as cities grow. Sustainable transportation involves factors like infrastructure, public transit, delivery networks, affordability, efficiency, air quality, health, and reduced emissions. Commuting between established and new urban areas is common, leading to issues like urban sprawl, longer travel times, and congestion in developing countries. The challenge is to improve accessibility while addressing air quality, traffic, congestion, noise, built environment, emissions, and sprawl. This study aims to explore factors influencing mobility choices in Egypt, focusing on …

Safety In P–12 Engineering Courses Within The Southern United States, Tyler S. Love

Journal of Pre-College Engineering Education Research (J-PEER)

Engineering education programs, especially at the P–12 level, pose inherent legal and ethical responsibilities pertaining to safety that cannot be ignored. Cultivating safer practices and habits during the design and hands-on development of engineering solutions starts well before students enter higher education engineering programs. P–12 engineering education programs play a critical role in enhancing safety awareness, developing safer habits, and improving safety culture, which has an influence on the safety practices that students carry with them into higher education programs and the workplace. This study analyzed the safety factors and accident occurrences reported by 305 P–12 engineering educators from the …

Review Of Geopolymer Technology, Barriers And Limitations, Abdullah Kadhim, Bushra Salman Mankhi, Muslim Al-Bujasim

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Geopolymers are kind of inorganic polymeric green materials, which are considered alternatives to some traditional cementitious materials. Geopolymerisation involves reaction between amount of solid materials rich of high reactive amorphous or semi-amorphous silica and alumina in the existence of alkaline medium (Na₂O or K₂O) to formulate tri-dimensional alumina-silicate polymeric strong network. The present research is targeting to review Geopolymer technology and the major barriers and limitations that impede the implementation and development of Geopolymer technology. The review based on the reports, statistics and the opinions of the construction industry stakeholders, in addition to the past literatures …

Designing A Model For Conservation Agricultural Extension In Western Iran, Mosayeb Gholami, Amirhossien Alibaygi, Abdolhamid Papzan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Conservation agriculture is seen as a new solution to environmental degradation and unsusainable water and soil resources. Since the adoption rate for conservation agriculture in Iran is not high, there is a need to design an extension model in this field. The aim of this study was to design an extension model for conservation agriculture in Kermanshah Province, located in the west of Iran. The study involved two groups: experts in conservation agriculture selected via purposeful sampling with a wide range of expertise, and farmers from Ravansar and Sonqor townships in Kermanshah Province, selected through a multistage clustering technique. The …

Crisis Management In Tourism Complexes With Emphasis On Sustainable Development Approach Case Study: Jihad Daneshghahi Tourism Complex In Kermanshah, Iran, Aeizh Azmi

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Problem statement: Crisis management in tourist complexes can play a crucial role in increasing tourist attraction and mitigating damages resulting from natural hazards. The Jihad University Tourism Complex in Kermanshah is a tourist destination, and this study aims to present a crisis management model for this complex.

Question: What should be the crisis management model for the Jihad University Tourism Complex in Kermanshah?

Objective: This study aimed to propose a crisis management model for the Jihad University Tourism Complex in Kermanshah.

Methods: A questionnaire was used to collect research data. Approximately 50 individuals were selected as the research population and …

Utilizing Collaborating Biomedical Deep Model For Diagnosis Of Ultrasonography Tumor Images, Maytham N. Meqdad, Seifedine Kadry

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Artificial intelligence models are the most common methods of diagnosing various diseases today. In the meantime, the use of deep learning for faster diagnosis with less error, which is usually less expensive than other methods, is noteworthy. However, these methods are expensive due to the problems of accessing data, including care data such as hospitals and clinics. This article presents a novel federated learning-based approach for ultrasound mammography image classification. In this method, the clients possess their own datasets and are trained to use them. Then, the server, with the help of the trained clients, obtains the best parameters for …

Air Force Institute Of Technology Research Report 2022, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.

Air Force Institute Of Technology Research Report 2021, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.

Auxiliary Diagnosis Of Dental Calculus Based On Deep Learning And Image Enhancement By Bitewing Radiographs, Tai Jung Lin, Yen Ting Lin, Yuan Jin Lin, Ai Yun Tseng, Chien Yu Lin, Li Ting Lo, Tsung Yi Chen, Shih Lun Chen, Chiung An Chen, Kuo Chen Li, Patricia Angela R. Abu

Ateneo Laboratory for Intelligent Visual Environments

In the field of dentistry, the presence of dental calculus is a commonly encountered issue. If not addressed promptly, it has the potential to lead to gum inflammation and eventual tooth loss. Bitewing (BW) images play a crucial role by providing a comprehensive visual representation of the tooth structure, allowing dentists to examine hard-to-reach areas with precision during clinical assessments. This visual aid significantly aids in the early detection of calculus, facilitating timely interventions and improving overall outcomes for patients. This study introduces a system designed for the detection of dental calculus in BW images, leveraging the power of YOLOv8 …

Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel

Master's Theses

Many national infrastructures, particularly bridges, are becoming older and older day by day. Their safe operation and maintenance require routine monitoring and inspection. There are lots of bridge inspection specifications and manuals to guide inspectors to give the proper recommendations about the bridge structure and safety. These manuals and specifications require bridge inspectors to manually inspect the bridge and recommend maintenance and repair tasks referring to the specific criteria available in the manuals. In time, the application of technology makes many Unmanned Aerial Systems (UAS) advancements during the phase of data collection. For the image processing and analysis of collected …

Leveraging An Uncertainty Methodology To Appraise Risk Factors Threatening Sustainability Of Food Supply Chain, Rehab Mohamed, Mahmoud M. Ismail

Neutrosophic Systems with Applications

By diminishing the risk factors associated with the food supply chain (FSC), we have recourse to strengthen the food supply chain's resilience, decrease food waste, and increase its sustainability. Prioritizing and identifying the risk factors impacting the sustainability of the food supply chain is essential for managing uncertainty and averting unfavorable consequences. This study attempts to identify and rank the most significant risks affecting the sustainability of the food supply chain under an uncertain environment. We use the α-Discounting multi-criteria decision-making (α-D MCDM) method for the main three risk factors: the risks of supply, the risks of demand, and the …

Closing The Phosphorus Loop With Green Infrastructure: Removal And Recovery Using Amended Soils And 3d-Printed Material, Colin Wilson

Dissertations (1934 -)

Phosphorus (P) is a life-essential element aiding the deterioration of water quality. Stormwater runoff transports nonpoint source P pollution to waterbodies, contributing to excessive P loading which may result in eutrophication. Green infrastructure (GI) is implemented to solve stormwater runoff pollution, but the P removal performance of these systems is variable. Moreover, P is arguably being unsustainably mined for fertilizer production and animal feed supplements to support demand from increasing global populations. This dissertation explored advancing the circular P economy utilizing additive manufacturing and GI soil amendments to remove and recover P from stormwater runoff. Laboratory-scale batch experiments were used …

Performance And Environmental Assessment Of Biochar-Based Membranes Synthesized From Traditional And Eco-Friendly Solvents, Abelline Katusiime Fionah, Isaac Oluk, Laura Brady, Diana M. Byrne, Isabel Escobar

UK CARES Faculty Publications

Water contamination resulting from coal spills is one of the largest environmental problems affecting communities in the Appalachia Region of the United States. This coal slurry contains potentially toxic substances, such as hydrocarbons, heavy metals, and coal cleaning chemicals, and its leakage into water bodies (lakes, rivers, and aquifers) can lead to adverse health effects not only for freshwater bodies and plant life but also for humans. This study focused on two major experiments. The first experiment involved the use of biochar to create a biochar–polysulfone (BC-PSf) flat-sheet multifunctional membrane to remove organic contaminants, and the other major experiment compared …

Examining The Progress In Additive Manufacturing In Supporting Lean, Green And Sustainable Manufacturing: A Systematic Review, Catherine Maware, Rumbidzai Muvunzi, Tinotenda Machingura, Ilesanmi Daniyan

Institute for Sustainable Manufacturing Faculty Publications

The quest for waste reduction and the development of manufacturing processes that meet the economic, social and environmental requirements necessitate this study. Additive manufacturing is an emerging digital technology that can be used to seamlessly develop a product through material deposition in layers. The study aims to investigate the progress made in the development of additive manufacturing to support lean, green and sustainable manufacturing. The study employs a systematic literature review approach, specifically the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). A total of 158 articles identified from different academic databases that detailed empirical, conceptual and theoretical findings …

An Experimental Study On Mixed Hydrocarbon Gas On Transport Through Subsurface And Atmospheric Interfaces With Application To Natural Gas Pipline Leak Dection And Quantification, Richard Kolodziej

Civil and Environmental Engineering Theses and Dissertations

Natural gas (NG) production and usage as a fuel source have surged in recent years, becoming a critical component of the global energy system and requiring extensive belowground pipeline infrastructure. Leaks in belowground pipelines release fugitive methane (CH₄) emissions, posing significant environmental, safety, and economic risks. Effective leak detection and quantification (LDAQ) methods are essential for identifying and measuring leaks to enable timely repairs and accurately address these threats. However, few studies have characterized the effectiveness of current and advanced LDAQ survey methods for belowground NG pipelines, with existing work often limited to technology-centric evaluations or studies of …

Developing A Cross-Asset Allocation Mechanism, Jon Wilcoxson, Bryan Gibson, Bethany Paris

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) has developed several tools and methods to compare the value of proposed projects within specific programs and asset classes, including the Enhanced Bridge Prioritization Index, Enhanced Pavement Prioritization Index, and the Strategic Highway Investment Formula for Tomorrow (SHIFT). Although immensely valuable, these methods and tools do not offer a convenient way of comparing the contributions of individual projects to meeting overall KYTC performance goals. As such, the Cabinet needs a robust mechanism for comparing the impact of projects across its capital, safety, and asset management programs. Following a review of cross-asset allocation frameworks described in …

Optical Frequency Domain Reflectometry-Based High-Performance Distributed Sensing Empowered By A Data And Physics-Driven Neural Network, Zhaopeng Zhang, Wei Peng, Osamah Alsalman, Lingmei Ma, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

Optical frequency domain reflectometry (OFDR) based distributed strain sensors are the preferred choice for achieving accurate strain measurements over extensive sensing ranges while maintaining exceptional spatial resolution. However, the simultaneous realization of high spatial resolution, high strain resolution, large strain range, and an extended sensing range presents an exceedingly challenging endeavor. In this study, we introduce and experimentally demonstrate a data and physics-driven neural network-empowered OFDR system designed to attain high-performance distributed sensing. In our experiments, we successfully maintained an impressive sensing resolution of sub-microstrain (0.91 µε) alongside a sharp spatial resolution of sub-millimeter (0.857 mm) across a 140-m sensing …

Development Of A Rule-Based Monitoring System For Autonomous Heavy Equipment Safety, Amirpooya Shirazi

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Roadway construction work zones are constantly exposed to interactions among construction equipment, workers, and vehicles. Furthermore, ensuring safety in these areas is considered a challenging task due to the complexity of the environment. As shown in the rising trend of fatal accidents in roadway work zones, current OSHA regulations in construction safety are insufficient in effectively detecting unsafe situations and mitigating the risks. Furthermore, best practices, such as internal traffic control planning (ITCP), exhibit critical limitations requiring continuous monitoring of active work zones as well as adjustments to the site coordination plans due to the dynamic nature of work zone …

Unmanned Aerial Vehicle (Uav)-Based High-Throughput Phenotyping For Maize Improvement, Eric T. Rodene

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Modern breeding programs rely heavily on efficiently screening large numbers of genotypes for agronomic traits, such as disease resistance, drought tolerance, and yield. Identifying the genetic loci or genes associated with these traits using GWAS or functional analyses will benefit future plant breeding efforts seeking to incorporate these traits into new crop varieties, whether through conventional breeding or gene editing techniques. Unmanned aerial vehicle (UAV)-based image data has been increasingly used for this task, as it allows entire test plots to be quickly and cost-effectively phenotyped. In my research, I have developed methods to improve the accuracy of machine learning …

Advancements In Microscale Tensile Testing: A Novel Device For The High Throughput Analysis Of Two-Photon Polymerized Microfibers In Liquid, Grayson D. Minnick

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Two-photon polymerization (TPP) enables the 3D fabrication of micro- and nanostructures from biocompatible materials with high resolutions, reaching into the realm of hundreds of nanometers. Such capabilities are crucial for advancing applications in fields like mechanobiology. As microscale technologies evolve, the precise characterization of material properties becomes increasingly essential. This is especially true for TPP-printed microstructures serving as scaffolds for 3D cell culture and intended for studying the mechanics of tissues. Despite the importance, traditional micro-scale tensile testing methods typically lack scalability and fail to replicate relevant environmental conditions. This dissertation introduces a new device that is specifically designed to …

Optimization Of A Plate Beam System For Energy Harvesting Using A Piezoelectric Material, Jose Manuel Almendros Espantaleon

Doctoral Dissertations and Master's Theses

With a continuously growing demand for power, driven by the need to reduce our environmental footprint, this research provides an examination of the potential of energy harvesting with smart materials technology and its practical applications. The energy harvesting system considered here works on generating energy through vibrations of a piezoelectric material beam which will undergo sustained vibrations due to flow of air over its surface. It is assumed that sustained limit cycle oscillations of this system will occur at the flutter velocity. This research creates an optimization framework to obtain the best values of parameters that will result in the …

Exploring A New Conceptual Framework In Aviation Maintenance Incident Reporting Using Natural Language Processing, Christopher P. Braun

Doctoral Dissertations and Master's Theses

In the analysis of human error incidents, human factors specialists predominantly follow two schools of thought in categorization strategies. One is to categorize the operator’s actions by the physical properties of the activity (phenotypes); the other focuses on the cognitive behaviors preceding the incident (genotypes). These categorization strategies are intended to foster an understanding of the events, identify risks, and assist in the implementation of risk reduction interventions. Commercial aviation maintenance presents unique challenges to human factor practitioners in terms of task requirements, working environments, communication modalities, and safety standards. Complex tasks are handed from one shift of personnel to …

Situation Awareness Assessment Of Enhanced Stable Approach Flight Instrument Displays, David J. Hunter

Doctoral Dissertations and Master's Theses

Through the year 2022, runway-related events, including excursions, abnormal runway contact, and runway undershoot and overshoot, were the third leading causes of fatal aircraft accidents. Principal to these runway-related accidents was the presence of an unstable approach. Pilots currently must depend on the timely recall of stable approach criteria stored in long-term memory, application of those criteria against current flight conditions, perception and cognition of deviation from those criteria, and determination of potential courses of action. Such recall is fallible, and challenges to perception and cognition are ever-present.

This study examined whether the presentation of stable approach criteria boundaries and …

Lessons From Developing A Rubric For Evaluating Need Statements On Health Technology Innovation Projects, L. Denend, R. Venook, R. D. Pamnani, K. Sheth, Joseph D. Towles

Engineering Faculty Works

In design-oriented biomedical engineering courses, some instructors teach need-driven methods for health technology innovation that use a “need statement” to reflect a student team’s hypothesis about the most fruitful direction for their project. While need statements are of the utmost importance to the projects, we were not aware of any comprehensive rubric for helping instructors evaluate them. Leveraging resources such as the Biodesign textbook along with input from faculty teaching health technology design at our university, we created a rubric for evaluating the construction of need statements. We then introduced the rubric to undergraduate students in a 3-week intersession course …

Dual Light Emission Of Cssni3-Based Powders Synthesized Via A Mechanochemical Process, Xuan Huang, Xiaobing Tang, Xiyu Wen, Yuebin Charles Lu, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

Lead toxicity has hindered the wide applications of lead halide perovskites in optoelec- tronics and bioimaging. A significant amount of effort has been made to synthesize lead-free halide perovskites as alternatives to lead halide perovskites. In this work, we demonstrate the feasibility of synthesizing CsSnI3-based powders mechanochemically with dual light emissions under ambi- ent conditions from CsI and SnI2 powders. The formed CsSnI3-based powders are divided into CsSnI3-dominated powders and CsSnI3-contained powders. Under the excitation of ultraviolet light of 365 nm in wavelength, the CsSnI3-dominated powders emit green light with a wavelength centered at 540 nm, and the CsSnI3-contained powders …