Engineering Commons^™

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 …

Waste Reduction And Recycling: Schweizer-Sklar Aggregation Operators Based On Neutrosophic Fuzzy Rough Sets And Their Application In Green Supply Chain Management, Zeeshan Ali, Hajra Bibi

Neutrosophic Systems with Applications

Green supply chain management (GSCM) is a valuable application that is used to reduce the overall environmental impact of the supply chain. Waste reduction and recycling are crucial components of sustainable technique that aims to reduce ecological impact and encourage reserve effectiveness. In this manuscript, we initiate the technique of Schweizer-Sklar (SS) operational laws based on neutrosophic fuzzy rough (NFR) values for SS t-norm (SSTN) and SS t-conorm (SSTCN). Further, we derive the NFR SS weighted averaging (NFRSSWA) operator and the NFR SS weighted geometric (NFRSSWG) operator. Some basic properties for the above-initiated techniques are derived. Additionally, we describe 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 …

Block Copolymer Formation And Synthesis Of Fingerprint-Patterned Azo Nanowires For Sensor Applications, Madhurima Kundu, Yasser Ismail, Radian Belu, Fred Lacy

Student Presentations

The study focuses on utilization of block copolymer (BCPs) as template for selective infiltration of AZO precursors. BCPs consist of chemically distinct polymer blocks that are self-assembled into well-defined domains with different morphologies. Vapor phase infiltration (VPI) provides a controlled approach for synthesizing fingerprint-patterned AZO nanowires, offering advantages in terms of conformal coating, vertical alignment, precursor control, scalability, and compatibility with atomic layer deposition (ALD) platforms making it suitable for different applications. The aim of this research is to fabricate nanostructured materials with controlled compositions and patterns which have applications in optoelectronic, sensing, surface engineering, and high-resolution imaging systems. The …

Quantum & Classical Machine Learning Studies Of Semiconductor Crystal Epitaxy, Andrew S. Messecar, Steven M. Durbin, Robert A. Makin

Waldo Library Student Exhibits

Molecular beam epitaxy (MBE) is an ultra–high vacuum crystal growth technique for the synthesis of high–purity materials. MBE allows for controlled deposition to the precision of a single atomic layer.

Understanding the optimal synthesis conditions for MBE can enhance experiment design and accelerate the discovery of new materials.

In this study, we apply materials informatics – investigating the utility of both quantum and conventional machine learning algorithms – to a decade’s worth of plasma–assisted MBE (PAMBE) data of GaN and InN. The goal is to investigate the relationships between PAMBE growth conditions and figures of merit for semiconductor crystals.

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.

Learning From Oversampling: A Systematic Exploitation Of Oversampling To Address Data Scarcity Issues In Deep Learning- Based Magnetic Resonance Image Reconstruction, Ibsa Kumara Jalata, Reeshad Khan, Ukash Nakarmi

Computer Science and Computer Engineering Faculty Publications and Presentations

Data acquisitions in Magnetic Resonance Imaging (MRI) are inherently slow due to sequential acquisition protocol. Image reconstruction from under-sampled data is posed as an inverse problem in traditional model-based learning paradigms. Recent data-centric learning frameworks such as deep learning (DL) frameworks are data hungry, and demand a large, labeled training data sets. To address the lack of large training datasets, in MRI reconstructions, researchers approach the problem in two ways: (1) unsupervised method where the model is trained without the presence of fully sampled data. (2) using a method that efficiently use the limited dataset for training purpose. In this …

Energy And Environmental Analyses Of A Solar–Gas Turbine Combined Cycle With Inlet Air Cooling, Ahmad M. Abubaker, Adnan Darwish Ahmad, Binit B. Singh, Yaman M. Manaserh, Loiy Al-Ghussain

Institute of Research for Technology Development Faculty Publications

Sensitivity to ambient air temperatures, consuming a large amount of fuel, and wasting a significant amount of heat dumped into the ambient atmosphere are three major challenges facing gas turbine power plants. This study was conducted to simultaneously solve all three aforementioned GT problems using solar energy and introducing a new configuration that consists of solar preheating and inlet-air-cooling systems. In this study, air was preheated at a combustion chamber inlet using parabolic trough collectors. Then, inlet air to the compressor was cooled by these collectors by operating an absorption cooling cycle. At the design point conditions, this novel proposed …

Exploring The Application Of Digital Twin Technology In The Energy Sector Using Merec And Mairca Methods, Asmaa Elsayed, Bilal Arain, Karam M. Sallam

Neutrosophic Systems with Applications

Smart city sustainability initiatives prioritize creating environmentally, economically, and socially sustainable urban environments. Digital Twin (DT) technology creates precise digital replicas of physical assets, systems, or processes. These digital twins play a crucial role in advancing the goals of smart city sustainability. This paper explores the development and application of DT technology for integrated regional energy systems in smart cities, emphasizing its potential to optimize energy consumption, reduce costs, and enhance overall system performance. The CloudIEPS platform, an energy internet planning platform based on digital twin technology, is a great example of how digital twin technology can be applied in …

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 …

Single-Valued Neutrosophic Mcdm Approaches Integrated With Merec And Ram For The Selection Of Uavs In Forest Fire Detection And Management, Mai Mohamed, Amira Salam, Jun Ye, Rui Yong

Neutrosophic Systems with Applications

In recent times, the world has experienced a rise in the frequency of forest fires. These fires cause severe economic damage and pose a significant threat to human lives. Therefore, it is essential to search for solutions that can help combat fires and detect them early. Once a fire reaches a certain level, it becomes challenging to control it. Various systems have been proposed to collect data and detect forest fires, such as satellites and other traditional methods. However, these solutions have been ineffective in terms of cost, coverage of large areas, accuracy, and the safety of human lives. To …

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 …

The Impacts Of Dimensionality, Diffusion, And Directedness On Intrinsic Cross-Model Simulation In Tile-Based Self-Assembly, Daniel Hader, Matthew J. Patitz

Computer Science and Computer Engineering Faculty Publications and Presentations

Motivated by applications in DNA-nanotechnology, theoretical investigations in algorithmic tile-assembly have blossomed into a mature theory. In addition to computational universality, the abstract Tile Assembly Model (aTAM) was shown to be intrinsically universal (FOCS 2012), a strong notion of completeness where a single tile set is capable of simulating the full dynamics of all systems within the model; however, this construction fundamentally required non-deterministic tile attachments. This was confirmed necessary when it was shown that the class of directed aTAM systems, those where all possible sequences of tile attachments result in the same terminal assembly, is not intrinsically universal (FOCS …

Tribocorrosion And Metal Release From Austenitic Stainless Steels 304 And 201 In Simulated Cassava Food Contact, Robert Addai, Temitope E. Olowoyo, Thalia E. Standish, Jeffrey Daniel Henderson, Ubong Eduok, Yolanda Hedberg

Chemistry Publications

Cassava is the third most significant calorie source in the tropics. Its processing has changed from traditional methods to stainless steel processing machines. This study investigated the influence of cassava on metal release from two common stainless steels, ASTM 304 and 201, with and without friction, and on tribocorrosion (multianalytically) of 304. Cassava was relatively corrosive and hindered repassivation of the surface oxide of stainless steel, but it also acted as a lubricant against mechanical friction. The combined action of friction and cassava caused a significant increase in iron, chromium, nickel, and manganese release from the stainless steels (30–35- fold …

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 …

Improving Performance Of Tpu By Controlled Crosslinking Of Soft Segments, Lucivan P. Barros Jr., Lucio R. De Souza, Rasoul Rahimzadeh, Ica Manas-Zloczower

Faculty Scholarship

Thermoplastic polyurethanes (TPUs) are a family of thermoplastic elastomers with great properties such as high elongation and excellent chemical and abrasion resistance, which are processable by conventional melting methods. Nevertheless, TPUs lose mechanical properties and thermal stability at higher temperatures. In this work, we designed and synthesized a new TPU with limited crosslinking of the soft segments in order to improve its performance at high temperatures while preserving processability. Additionally, the new TPU maintains its transparency. With the incorporation of 10% trifunctional polyol, the T was increased by 7°C, the storage modulus at room temperature (25°C) was improved by 412 …

Experimental Investigation Of The Self-Healing Potential Of Bacteria For Sustainable Concrete Structures Phase 2, Andrea Calabrese, Pitiporn Asvapathanagul, Nisarg N. Patel, Nanubala Dhruvan, Austin Adams, Michael Hernandez, Douglas S. Lopez-Cruz

Mineta Transportation Institute

Concrete is a critical component of so much of the modern construction industry. This material, well known for its versatility, robustness, longevity, and strength, is well-suited for a wide range of structural applications. Nonetheless, the widespread occurrence of cracks in concrete structures, primarily attributed to its limited tensile strength, shrinkage, and overstain, imposes a considerable economic and environmental challenge when it comes to retrofitting these fissures. This study tackles this problem by harnessing bacteria tolerant to high alkaline conditions to enable Microbially Induced Calcium Carbonate Precipitation (MICP) for the self-repair of concrete. This is achieved through an external application method, …

Solar Car Radio Control Car Curriculum (9-10 Grade), Divya Baranwal, Ashish Gandhi

Multidisciplinary Studies Research

In this unit, high school students will comprehend the concepts of solar energy and conversion of sunlight into electricity; and basic electronics, circuitry principles, and electric components like microcontrollers, resistors, sensors, and LEDs; basic programming hands-on experience to write code for microcontrollers and programming functionalities like controlling the car’s movement, and the conversion of potential energy to kinetic energy on various inclined ramps, delving into scientific principles. They will understand the basics of machine learning, robotics, soldering, engage with hands-on experiences in engineering design principles, hands-on experiences starting from building car evolution models throughout a week. This unit focus to …

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 …

Non-Fungible Tokens (Nfts) For Digital Twins In The Industrial Metaverse: Overview, Use Cases, And Open Challenges, Haya R. Hasan, Mohammad Madine, Ahmad Musamih, Raja Jayaraman, Khaled Salah, Ibrar Yaqoob, Mohammed Omar

Industrial Engineering: Faculty & Staff Publications

No abstract provided.

Atmospheric Waves Experiment (Awe) Thermal Control System: From Design Through On-Orbit Thermal Performance, Matthew I. Ralphs, Mike Holt

Space Dynamics Laboratory Publications

The Atmospheric Waves Experiment (AWE) will provide the first global characterization of atmospheric waves that originate in Earth’s lower atmosphere and affect space weather. The instrument has been installed on the International Space Station (ISS) ExPRESS Logistics Carrier (ELC) 1 since November 2023. The main thermal control system consists of a passive, ambient temperature, bi-directional radiator to which pyrolytic graphite sheet (PGS) thermal straps connect four independent detectors, whose temperatures are actively controlled by thermoelectric coolers (TECs). This paper discusses the thermal design, thermal model correlation efforts (both with test temperature data and flight temperature data), and how the predictions …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam, Aaron R. Mittelstet, Derek M. Heeren, Troy E. Gilmore

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in North Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, Libya, and Chad. Though the NSAS is largely an untapped resource, we evaluated various scenarios to determine the quantity of cropland that can be sustainably irrigated. The NSAS is located in an arid region, …