Engineering Commons^™

Crack-Length Estimation For Structural Health Monitoring Using The High-Frequency Resonances Excited By The Energy Release During Fatigue-Crack Growth, Joseph Roshan, Hanfei Mei, Asaad Migot, Victor Giurgiutiu

Faculty Publications

Acoustic waves are widely used in structural health monitoring (SHM) for detecting fatigue cracking. The strain energy released when a fatigue crack advances has the effect of exciting acoustic waves, which travel through the structures and are picked up by the sensors. Piezoelectric wafer active sensors (PWAS) can effectively sense acoustic waves due to fatigue-crack growth. Conventional acoustic-wave passive SHM, which relies on counting the number of acoustic events, cannot precisely estimate the crack length. In the present research, a novel method for estimating the crack length was proposed based on the high-frequency resonances excited in the crack by the …

The Effect Of The Spirit Of The Place On The Formulation Of Emotion In Contemporary Arab-Islamic Architecture, Mahdi Saleh Al-Faraj, Dania Saleh Yaheia

Al-Esraa University College Journal for Engineering Sciences

Arab-Islamic architecture is characterized by both constants and variables, with spiritual aspects (content) representing the constants and physical aspects (form) representing the variables. It evolves based on changing times and needs, with compassion being a significant feature associated with its spiritual aspects. Compassion is essential for collective agreement and individual emotional connection in Arab-Islamic architecture. The present research aims to investigate the influence of the spirit of the place, as embraced by designers, on the emotional characteristics of contemporary Arab-Islamic architecture. The research problem identified is the lack of a theoretical concept regarding the impact of the spirit of the …

The Effect Of Bioenergy Systems On The Architectural Product The Effect Of Fung Shui And Biogetric To Achieve The Performance Of Architectural Space, Abdullah Saadon Al-Mamoory, Ann Samari Ibrahim

Al-Esraa University College Journal for Engineering Sciences

This research presents an analytical study exploring the vital systems of energy science and their influence on architecture by examining ancient environmental philosophies like Feng Shui in China and bio-geometry in Egypt. These philosophies serve as guiding principles for studying energy and its impact on human daily life, highlighting their effects on integrated ecosystems in the design of residential buildings at both external and internal levels. The study examines key aspects such as the influence of energy on furniture arrangement in living spaces. The primary objective is to establish a synergistic relationship between architectural design of residential spaces during occupancy …

Some Aspects Of The Suitability Of Three-Story Residential Buildings For Vertical Housing In Iraq, Wisam William Saleem Al-Ayoubi

Al-Esraa University College Journal for Engineering Sciences

This research initially aimed to examine the changes in housing since the 1930s, driven by rapid population growth and evolving lifestyles, juxtaposed with advancements in contemporary building materials that are environmentally compatible. After a comprehensive analysis of housing and living arrangements throughout history, including the evolution of open house units towards more interior-focused designs such as the Baghdadi house with its central courtyard, the study delved into the significant changes and the challenges posed by the rapid population growth. The focus of the study was on the viability of vertical housing in Iraq and the considerations related to low-rise residential …

Role Of Iconic Architecture In Sustainable Tourism Development, Basim H. H. Al-Majidi, Ann Samari Ibrahim

Al-Esraa University College Journal for Engineering Sciences

Architecture "is an expression of the way of life and the spirit of the ages and cultures in which I grew up" as the buildings speak for themselves. While tourism is a scenario "to define a city to an unfamiliar audience and acquire an identity for a citizen". Both architecture and tourism have been linked together since time immemorial. Architecture was the main aspect of attracting crowds, while tourism helped architecture survive the test of time as well as money. Both tourism and architecture operate in a symbiotic manner to break the lack of familiarity with any culture and to …

The Contribution Of Mining Sector To Sustainable Development In Saudi Arabia, Mourad Zmami, Ousama Ben-Salha, Sultan O. Almarshad, Houyem Chekki

Journal of Sustainable Mining

The mining sector development is among the priorities of the Saudi Vision 2030. There is currently a lot of interest in the role of the mining sector in Saudi Arabia. This research contributes to this debate by empirically assessing the effects of mining on sustainable development in Saudi Arabia during the period 1980-2018. Unlike many previous studies, the three sustainable development dimensions, namely economic, social, and environmental, are jointly considered. The cointegration analysis, based on the ARDL, Gregory-Hansen, and combined cointegration tests, confirms the existence of long-run relationships between mining and all sustainable development dimensions. Furthermore, the findings lend substantial …

Improve Outcomes In Lean Six Sigma With Servant Leadership, David W. Hoffa, Chad Laux, Manal Alduraibi

International Conference on Lean Six Sigma

1. Purpose

The purpose of this study was to explore lean leadership within Lean Six Sigma (LSS). The objective of this paper was to explore how LSS program success might be improved by focusing Black Belt efforts on mentoring Green Belts with a servant leadership model. The importance of Green Belt projects is typically overlooked in the literature. The effects of prioritizing the development of Green Belts and building a culture of continuous improvement over the traditional Black Belt project focus is explored.

2. Design/Methodology/Approach

The methodology of this paper is inspired by the authors’ field experiences in managing LSS …

Waste As A Product Of Organisational Culture, Dobrochna Sztajerska, Karolina Pawlusiak

International Conference on Lean Six Sigma

The organisational culture was subjected to studies for many years (Schein, 1983; Svyantek and DeShon, 1993; Sułkowski 2001, Chmielewska-Muciek 2009), so was the muda (waste) concept (Womack and Jones, 1996; Rother and Shook, 2003; Liker, 2003; Lisiecka and Burka, 2015). However, there is no research linking these two constructs, especially when it comes to looking for specific waste depending on the organisational culture.

Six Sigma And Lean Approach For Enhanced Process Value Chain, Maryam Zulfiqar

International Conference on Lean Six Sigma

Abstract

This research highlight the different aspects of implementing lean and six-sigma approach, their contrasting features and integration in manufacturing organizations. Qualitative research method has been used to conduct this research as the defined period of time for the research was limited. This method was pertinent for the deep analysis of literature and case studies of concerned approaches. It helped to conduct the research in a subjective manner. The use of secondary data saved time from preparing the questionnaires or surveys also the ethical approval from the University of the West of Scotland was not required. Descriptive feature of qualitative …

Lean Six Sigma As An Enabler For Healthcare Operational Excellence In Covid-19, Olivia Mcdermott Dr, Antony Jiju

International Conference on Lean Six Sigma

1. Purpose -This paper aims to present the results of a qualitative research interview study on the utilization and importance of Lean Six Sigma methods in the Healthcare sector in COVID-19 and in pandemics in general.
2. Design/methodology/approach -a qualitative interview approach was utilised by interviewing leading Lean Six Sigma academics and practitioners who are expert in and have experience in Lean Six Sigma.
3. Findings – Lean Six Sigma methods are proven and can be utilised in pandemic situations to improve efficiency and resilience in the healthcare system and readiness for pandemics.
4. Research limitations/implications - One limitation of this research was that …

Applying Lean Six Sigma And Systematic Layout Planning To Improve Patient Transportation Equipment Storage In An Acute Care Hospital, Sandra Furterer, Pratheeka Kancharla

International Conference on Lean Six Sigma

Purpose:

The purpose of this project was to optimize the patient transportation process at an acute care hospital to achieve reduced transportation times.

Methodology:

A detailed Lean Six Sigma study on the patient transport and equipment handling processes helped to determine possible ways to reduce the equipment handling time which eventually reduces the patient transportation time. The Systematic Layout Planning (SLP) approach usually applied in manufacturing environments was used to identify which patient transport equipment was needed to be stored in which locations throughout the hospital footprint. The assignment of equipment to locations was determined based on frequency of use, …

Space And Defense – Volume Twelve – Number One – Winter 2021, Space And Defense Journal

Space and Defense

No abstract provided.

Hydrophilic Modification Of Sla 3d Printed Droplet Generators By Photochemical Grafting, Tristan W. Bacha, Dylan C. Manuguerra, Robert A. Marano, Joseph F. Stanzione Iii

Henry M. Rowan College of Engineering Departmental Research

Few droplet generators manufactured using desktop stereolithography 3D printers have been reported in the literature. Moreover, 3D printed microfluidic chips are typically hydrophobic, limiting their application to water in oil droplets. Herein, we present designs for concentric and planar 3D printed microfluidic devices suitable for making polymeric microparticles using an off-the-shelf commercial stereolithography printer and resin. The devices consist of a microscope slide, binder clips, and printed components. Channels were modified by an ultraviolet grafting of methacrylic acid to the surface of chips, yielding a hydrophilic coating without modification to the bulk polymer. The water contact angle decreased from 97.0° …

Single-Image Super Resolution Using Convolutional Neural Network, William Symolon, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Increasing threats to U.S. national security satellite constellations have resulted in an increased interest in constellation resilience and satellite redundancy. CubeSats have contributed to commercial, scientific and government applications in remote sensing, communications, navigation and research and have the potential to enhance satellite constellation resilience. However, the inherent size, weight and power limitations of CubeSats enforce constraints on imaging hardware; the small lenses and short focal lengths result in imagery with low spatial resolution. Low resolution limits the utility of CubeSat images for military planning purposes and national intelligence applications. This paper implements a super-resolution deep learning architecture and proposes …

All-Optical Nonreciprocity Due To Valley Polarization Pumping In Transition Metal Dichalcogenides, Sriram Guddala, Yuma Kawaguchi, Filipp Komissarenko, Svetlana Kiriushechkina, Anton Vakulenko, Kai Chen, Andrea Alù, Vinod M. Menon, Alexander B. Khanikaev

Publications and Research

Nonreciprocity and nonreciprocal optical devices play a vital role in modern photonic technologies by enforcing one-way propagation of light. Here, we demonstrate an all-optical approach to nonreciprocity based on valley-selective response in transition metal dichalcogenides (TMDs). This approach overcomes the limitations of magnetic materials and it does not require an external magnetic field. We provide experimental evidence of photoinduced nonreciprocity in a monolayer WS2 pumped by circularly polarized (CP) light. Nonreciprocity stems from valley-selective exciton population, giving rise to nonlinear circular dichroism controlled by CP pump fields. Our experimental results reveal a significant effect even at room temperature, despite considerable …

Adaptive Network Slicing In Fog Ran For Iot With Heterogeneous Latency And Computing Requirements: A Deep Reinforcement Learning Approach, Almuthanna Nassar

USF Tampa Graduate Theses and Dissertations

In view of the recent advances in Internet of Things (IoT) devices and the emerging new breed of smart city applications and intelligent vehicular systems driven by artificial intelligence, fog radio access network (F-RAN) has been recently introduced for the next generation wireless communications. The capability of F-RAN has emerged to overcome the latency limitations of cloud-RAN (C-RAN) and assure the quality-of-service (QoS) requirements of the ultra-reliable-low-latency-communication (URLLC) for IoT applications. To this end, fog nodes (FNs) are equipped with computing, signal processing and storage capabilities to extend the inherent operations and services of the cloud to the edge. However, …

A Method For Compact Representation Of Heterogenous And Multivariate Time Series For Robust Classification And Visualization, Alla Abdella

USF Tampa Graduate Theses and Dissertations

Processing multivariate sensory time-series with variable lengths is a challenging problem across different application domains due to the naturally complex, high-dimensional, and often non-stationary nature of the data. There are many practical examples of this in the industry particularly for the applications of sensor networks in monitoring production or distribution of goods around the globe. This thesis tackles the specific problem of time-series data representation in how we can better summarize and visualize multi-variate time series data coming from numerous sources in a sensor network distributed across a wide range of application scenarios. On one hand, we think the analysis …

Characterizing And Optimizing Asynchronous Event-Driven Architecture For Modern Cloud Systems, Shungeng Zhang

LSU Doctoral Dissertations

Achieving good performance and high efficiency simultaneously is an essential requirement for emerging modern cloud systems such as e-commerce due to their business impact. For example, Akamai reported that every 100ms delay in website load time could lead to a 6% drop in sales. Unfortunately, achieving good performance (e.g., low latency) for modern cloud systems at high resource utilization is significantly challenging. Despite continuing efforts by cloud professionals, however, they have consistently experienced performance degradation problems (e.g., the long-tail latency problem) due to the bursty workload in the cloud. To resolve the performance degradation problems, many previous research efforts have …

Life Cycle Assessment Of Bioplastics And Food Waste Disposal Methods, Shakira R. Hobbs, Tyler M. Harris, William J. Barr, Amy E. Landis

Civil Engineering Faculty Publications

The environmental impacts of five waste management scenarios for polylactic acid (PLA)-based bioplastics and food waste were quantified using life cycle assessment. Laboratory experiments have demonstrated the potential for a pretreatment process to accelerate the degradation of bioplastics and were modeled in two of the five scenarios assessed. The five scenarios analyzed in this study were: (1a) Anaerobic digestion (1b) Anaerobic digestion with pretreatment; (2a) Compost; (2a) Compost with pretreatment; (3) Landfill. Results suggested that food waste and pretreated bioplastics disposed of with an anaerobic digester offers life cycle and environmental net total benefits (environmental advantages/offsets) in several areas: ecotoxicity …

Advanced Research And Development Of Face Masks And Respirators Pre And Post The Coronavirus Disease 2019 (Covid-19) Pandemic: A Critical Review, Ebuka A. Ogbuoji, Amr M. Zaky, Isabel C. Escobar

Chemical and Materials Engineering Faculty Publications

The outbreak of the COVID-19 pandemic, in 2020, has accelerated the need for personal protective equipment (PPE) masks as one of the methods to reduce and/or eliminate transmission of the coronavirus across communities. Despite the availability of different coronavirus vaccines, it is still recommended by the Center of Disease Control and Prevention (CDC), World Health Organization (WHO), and local authorities to apply public safety measures including maintaining social distancing and wearing face masks. This includes individuals who have been fully vaccinated. Remarkable increase in scientific studies, along with manufacturing-related research and development investigations, have been performed in an attempt to …

Network Intrusion Detection System Using Deep Learning, Lirim Ashiku, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The widespread use of interconnectivity and interoperability of computing systems have become an indispensable necessity to enhance our daily activities. Simultaneously, it opens a path to exploitable vulnerabilities that go well beyond human control capability. The vulnerabilities deem cyber-security mechanisms essential to assume communication exchange. Secure communication requires security measures to combat the threats and needs advancements to security measures that counter evolving security threats. This paper proposes the use of deep learning architectures to develop an adaptive and resilient network intrusion detection system (IDS) to detect and classify network attacks. The emphasis is how deep learning or deep neural …

Sos Explorer Application With Fuzzy-Genetic Algorithms To Assess An Enterprise Architecture -- A Healthcare Case Study, Josh Goldschmid, Vinayaka Gude, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Kevin Dooley (1997), defined Complex Adaptive System (CAS) as a group of semi-autonomous agents who interact in interdependent ways to produce system-wide patterns, such that those patterns then influence behavior of the agents. A healthcare system is considered as a Complex Adaptive System of system (SoS) with agents composed of strategies, people, process, and technology. Healthcare systems are fragmented with independent systems and information. The enterprise architecture (EA) aims to address these fragmentations by creating boundaries around the business strategy and key performance attributes that drive integration across multiple systems of processes, people, and technology. This paper uses a SoS …

Fabrication And Characterization Of Non-Equilibrium Plasma-Treated Pvdf Nanofiber Membrane-Based Sensors, Quazi Nahida Sultana, Mujibur Khan, Rajib Mahamud, Mohammadsadegh Saadatzi, Papia Sultana, Tanvir Farouk, Rafael Quirino, Sourav Banerjee

Faculty Publications

The effect of a self-pulsing non-equilibrium plasma discharge on piezoelectric PVDF nanofiber membrane was investigated. The plasma discharge was generated in air with a DC power source, with a discharge current of 0.012 mA, a nominal interelectrode separation of 1 mm, and discharge voltage of ~970 V. In a continuous fabrication process, the electrospinning method was used to generate thin nanofiber membrane with a flow rate of 0.7–1 mL h−1 and 25–27 kV voltage to obtain the nanofiber with high sensitivity and a higher degree of alignment and uniformity over a larger area. Plasma treatment was applied on both single …

Flying Free: A Research Overview Of Deep Learning In Drone Navigation Autonomy, Thomas Lee, Susan Mckeever, Jane Courtney

Articles

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the …

Development Of Catalytic Combustion And Co2 Capture And Conversion Technology, Zhibin Yang, Ze Lei, Xingyu Xiong, Yiqian Jin, Kui Jiao, Fanglin Chen, Suping Peng

Faculty Publications

Changes are needed to improve the efficiency and lower the CO₂ emissions of traditional coal-fired power generation, which is the main source of global CO₂ emissions. The integrated gasification fuel cell (IGFC) process, which combines coal gasification and high-temperature fuel cells, was proposed in 2017 to improve the efficiency of coal-based power generation and reduce CO₂ emissions. Supported by the National Key R&D Program of China, the IGFC for nearzero CO₂ emissions program was enacted with the goal of achieving near-zero CO₂ emissions based on (1) catalytic combustion of the flue gas from solid oxide …

A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead

Mathematics, Physics, and Computer Science Faculty Articles and Research

In previous works, we have shown the efficacy of using Deep Belief Networks, paired with clustering, to identify distinct classes of objects within remotely sensed data via cluster analysis and qualitative analysis of the output data in comparison with reference data. In this paper, we quantitatively validate the methodology against datasets currently being generated and used within the remote sensing community, as well as show the capabilities and benefits of the data fusion methodologies used. The experiments run take the output of our unsupervised fusion and segmentation methodology and map them to various labeled datasets at different levels of global …

Design Of A Pneumatic Soft Robotic Actuator Using Model-Based Optimization, Mahsa Raeisinezhad

Theses and Dissertations

In this thesis, the design and optimization process of a novel soft intelligent modular pad (IntelliPad) for the purpose of pressure injury prevention is presented. The structure of the IntelliPad consists of multiple individual multi-chamber soft pneumatic-driven actuators that use pressurized air and vacuum. Each actuator is able to provide both vertical and horizontal motions that can be controlled independently. An analytical modeling approach using multiple cantilever beams and virtual springs connected in a closed formed structure was developed to analyze the mechanical performance of the actuator. The analytical approach was validated by a finite element analysis. For optimizing the …

Investigation Of Single, Binary, And Ternary Metal Oxides Of Iridium, Rhodium, And Palladium For Neural Interfacing Applications, Gregory Vincent Taylor

Theses and Dissertations

In this dissertation, thin film single, binary, and ternary metal oxides of iridium (Ir), ruthenium (Ru), rhodium (Rh), and palladium (Pd) were synthesized for use as electrode/microelectrode coatings for neural interfacing applications using DC reactive magnetron sputtering. Synthesis conditions which enhanced the electrochemical properties of films as measured by cyclic voltammetry and electrochemical impedance spectroscopy in a phosphate buffered saline solution of the single metal oxides were identified to be 30 mTorr working pressure, 20% oxygen partial pressure, and cathode power densities ≤ 4.9 W/cm². These parameters were then used to develop the binary and ternary metal oxide …

Toward An Intelligent Driving Behavior Adjustment Based On Legal Personalized Policies Within The Context Of Connected Vehicles, Fatma Outay, Nafaa Jabeur, Hedi Haddad, Zied Bouyahia, Hana Gharrad

All Works

The advent of Connected Vehicles (CVs) is creating new opportunities within the transportation sector. It is, indeed, expected to improve road traffic safety, enhance mobility, reduce fuel consumption and gas emissions, as well as foster economic growth via investments and jobs. However, to motivate the deployment of CVs and maximize their related benefits, policymakers must create appropriate neutral legal frameworks. These frameworks should promote the innovation of current road infrastructures, support cooperation and interoperability between transportation systems, and encourage fair competition between companies while upholding consumer privacy as well as data protection. We argue that policymakers should also support innovative …

A New Method Of Measuring Flow Stress For Improved Modeling Of Friction Stir Welding, David John Prymak

Theses and Dissertations

Deficiencies in friction stir welding (FSW) numerical modelling are identified. Applicability of flow stress data derived from hot compression, hot torsion, and split Hopkinson bar testing methods is assessed. A new method of measuring flow stresses in the stir zone of a friction stir welding tool is developed. This test utilizes a non-consumable flat-faced cylindrical tool of different geometries that induces a vertical and rotational load on the material of interest. A constant vertical load and rpm value is used for each test yielding the resulting motor torque and temperature generation to define the material response. Experimental samples are cross-sectioned, …