Digital Commons Network^™

Ergonomic Assessment Of A New Back Table For Perioperative Nurses, Ketan Prakash Thakur

Theses

Perioperative nurses use back tables (BT) to set up instruments for surgeries consisting of a single surface requiring repetitive lifting due to the stacked trays of surgery tools. Since such actions lead to increased physical (heavyweight of trays) and cognitive (reduced visibility and increased access time) demand, the new DinamicOR table (DT) has been developed. DT has the height adjustment capability and can add up to two shelves providing an extra working area for nurses. We evaluated DT vs. BT by conducting a laboratory experiment involving 16 participants, estimating the kinematics, kinetics, and collecting their subjective feedback, NASA task load …

The Influence Of Oxygen Partial Pressure On The Properties Of Evaporated Alumina Thin Film, Tsion Teklemarim

Theses

Alumina (Al2O3) thin films are used in anti-reflection and high reflection mirror coatings from deep UV to near infrared. The optical, mechanical, and structural properties of films are dependent on the deposition technique and the desired film performance can be achieved by manipulating the deposition parameters. Such deposition parameters are substrate temperature, deposition rate, and oxygen partial pressure. For laser mirror performance applications, it is desirable to optimize the films with regards to laser damage threshold and film stress. To these ends, this thesis work studies Al2O3 thin films synthesized with electron beam evaporation technique as a function of oxygen …

Towards Effective Detection Of Botnet Attacks Using Bot-Iot Dataset, Subiksha Srinivasa Gopalan

Theses

In the world of cybersecurity, intrusion detection systems (IDS) have leveraged the power of artificial intelligence for the efficient detection of attacks. This is done by applying supervised machine learning (ML) techniques on labeled datasets. A growing body of literature has been devoted to the use of BoT-IoT dataset for IDS based ML frameworks. A few number of related works have recognized the need for a balanced dataset and applied techniques to alleviate the issue of imbalance. However, a significant amount of related research works failed to treat the imbalance in the BoT-IoT dataset. A lack of unanimity was observed …

Model Extraction And Adversarial Attacks On Neural Networks Using Side-Channel Information, Tommy Li

Theses

Artificial neural networks (ANNs) have gained significant popularity in the last decade for solving narrow AI problems in domains such as healthcare, transportation, and defense. As ANNs become more ubiquitous, it is imperative to understand their associated safety, security, and privacy vulnerabilities. Recently, it has been shown that ANNs are susceptible to a number of adversarial evasion attacks - inputs that cause the ANN to make high-confidence misclassifications despite being almost indistinguishable from the data used to train and test the network. This thesis explores to what degree finding these examples may be aided by using side-channel information, specifically power …

Towards Enhancement Of Machine Learning Techniques Using Cse-Cic-Ids2018 Cybersecurity Dataset, Dharshini Ravikumar

Theses

In machine learning, balanced datasets play a crucial role in the bias observed towards classification and prediction. The CSE-CIC IDS datasets published in 2017 and 2018 have both attracted considerable scholarly attention towards research in intrusion detection systems. Recent work published using this dataset indicates little attention paid to the imbalance of the dataset. The study presented in this paper sets out to explore the degree to which imbalance has been treated and provide a taxonomy of the machine learning approaches developed using these datasets. A survey of published works related to these datasets was done to deliver a combined …

Electrodeposition From A Graphene Bath: A Sustainable Copper Composite Alloy In A Graphene Matrix, Hayley Richardson, Charles Bopp, Bao Ha, Reeba Thomas, Kalathur S.V. Santhanam

Articles

The leaching effect of metals has led to the introduction of government regulations for the safety of the environment and humans. This has led to the search for new alloys with long-lasting sustainability. Herein, we wish to report a new brass alloy containing carbon with a remarkable sustainability produced by electrodeposition from a graphene quantum dots bath. The electrochemical measurements were carried out using cyclic voltammetry, potentiodynamic analysis, and Tafel measurements, and the deposits were characterized by X-ray fluorescence spectroscopy (XRF), Raman imaging, X-ray diffraction (XRD), atomic force microscopy (AFM), and scanning electron microscopy (SEM) to understand the surface morphology …

Impact Of The Emergency Use Authorization On Ventilator Innovation, Krista Stanislow

Theses

Innovation in the medical device industry is crucial to continuously improve the health and wellbeing of society. The U.S. Food and Drug Administration (FDA) is responsible for ensuring the safety and effectiveness of medical devices on the market while balancing the need for continuous innovation. One way the FDA has tried to support innovation is through the development of the 510(k) pathway, which does not require clinical testing as the safety of the device is determined based on a predicate device. Many companies choose to develop products that can obtain approval through the 510(k) pathway. While the 510(k) pathway is …

Incorporating Electrical Trucks And Automated Container Stacking System In The Ports For Sustainable And Efficient Operations, Maryam Ali Alzaabi, Mariam Ali Abdulla

Theses

In our research we discuss the sustainability and efficiency advantages that come from switching from diesel to electrical trucks and the use of the automated container stacking system in the context of a port operation as an integral part of the economy that contributes to the progress of any city. The main objective is to explore the methods that can be applied to ensure the success of these initiatives, cost barriers, pre-requisites and challenges that go with this decision. In this research our findings demonstrate that switching to electrical trucks instead of diesel significantly reduces the level of emissions, lowers …

On The Effective Finite Element Simplification Of Bolted Joints: Static And Modal Analyses, Abdulrahman Mohammad Ibrahim

Theses

In this paper, the finite element simplification of a standard bolted joint configuration is investigated. Static and modal analyses of a 3D model are used for benchmarking three different simplified finite element models using Siemens NX software. More specifically, the three simplified finite element models utilize beam elements, spring elements and a coupled shell-beamspring elements model. Four margin of safety criteria with respect to slipping, gapping, yield strength and ultimate strength were evaluated. Results show comparable values in the yield and ultimate margins of safety of all three simplified finite element models. Additionally, a parametric analysis relative to bolt size …

Suicide By Cop: A Secondary Analysis Using Open-Source News Data, Mckayla Nolan

Theses

Suicide by cop (SBC) has recently become a known phenomenon in the United States, Canada, Australia and parts on the United Kingdom as another way to complete suicide (Patton & Fremouw,2015). SBC refers to when an individual creates a scenario in which law enforcement agencies are called and have to use deadly force in order to protect themselves and the people around the individual who is attempting to take their life (Mohandie, Meloy, & Collins, 2009). The term suicide by cop was originally coined by a police officer and psychologist Karl Harris in 1983 and is the term that is …

Fda Regulation Impact On Early Stage Medical Device Innovation In Academia, Keyana Fariello

Theses

The commercialization of medical products at the university level is a multilayered and challenging process. One barrier to commercialization is the difficulty of meeting Food and Drug Administration (FDA) regulatory requirements. Regulations and standards are undoubtedly necessary to maintain the highest product safety levels, but it creates many obstacles. This paper will analyze how researchers involved with early-stage medical device innovation in a university setting deal with FDA compliance issues and the implications of this engagement for innovation. I conducted an exploratory case study of ten medical product development projects at the Rochester Institute of Technology (RIT). Overall, I found …

Dubai Taxi Demand Hotspots Prediction, Samer Kamal Abu Taleb

Theses

Public transportation mode like taxi service consider as an essential service in every city that can serve all gender, age, and level of people, used for to move at any time and everywhere inside or outside the city. with the new entrance of technology for transportation, the taxi industry is undergoing a rapid digital transition like many other fields, that include new inventory like Uber and Careem for taxi sharing used by smartphones. Most of the time, taxi vehicles' distribution is imbalanced due to passengers and taxi drivers' unorganized demand. The plan is always left to the driver to estimate …

Finding A Wells Way: Using Sustainability Metrics To Determine Best Practices For Relocating Wells Barns, Sara P. Hall

Theses

Serving as a visual representation of a different time and place, barns and agricultural architecture across America have both historical and cultural values that are imitable. Evoking a strong sense of nostalgia and simplicity, barns are an often-overlooked architectural typology worth preserving. Native to Western New York, historical Wells style barns have served as an iconic agricultural symbol since the late 1800s. As the means and methods of agriculture change with technological development, more and more of these exemplary structures are becoming neglected and obsolete. Typically located in remote, rural areas, this thesis looks to determine alternate, sustainable options in …

Metarec: Meta-Learning Meets Recommendation Systems, James Le

Theses

Artificial neural networks (ANNs) have recently received increasing attention as powerful modeling tools to improve the performance of recommendation systems. Meta-learning, on the other hand, is a paradigm that has re-surged in popularity within the broader machine learning community over the past several years. In this thesis, we will explore the intersection of these two domains and work on developing methods for integrating meta-learning to design more accurate and flexible recommendation systems.

In the present work, we propose a meta-learning framework for the design of collaborative filtering methods in recommendation systems, drawing from ideas, models, and solutions from modern approaches …

Development Of A Flow Control Valve Using Magnetorheological Fluid, Scott A. Bell

Theses

This research aims to develop and characterize the behavior of a newly ideated valve that actuates based on magnetorheological fluid (MRF) in a volume surrounding a flexible thin-walled tube. This valve had the goal of reducing the obstruction and complexities within the pathway of fluid flow when compared to a commercial valve. A decrease in the obstructions would increase the efficiency of the valve. An iterative design process was employed to develop this valve through multiple preliminary concepts and two physical iterations. The first iteration presented multiple areas for improvement, which led to the second design. The second design was …

Secure Outsourced Computation On Encrypted Data, Asma Aloufi

Theses

Homomorphic encryption (HE) is a promising cryptographic technique that supports computations on encrypted data without requiring decryption first. This ability allows sensitive data, such as genomic, financial, or location data, to be outsourced for evaluation in a resourceful third-party such as the cloud without compromising data privacy. Basic homomorphic primitives support addition and multiplication on ciphertexts. These primitives can be utilized to represent essential computations, such as logic gates, which subsequently can support more complex functions. We propose the construction of efficient cryptographic protocols as building blocks (e.g., equality, comparison, and counting) that are commonly used in data analytics and …

Retail Store Ranking Recommender System, Fatmah Ahmed Ali Alkhzami

Theses

Companies have been changing and developing their marketing tools and techniques in order to follow the rapid growth of e-commerce in many aspects, and they specifically try to target customers by offering them the products and services they need using recommender engines. Moreover, the rapid growth in e-commerce resulted in people placing the web as the source of information to buy or sell from. Therefore, other than normal stores, many online shops exist, in different forms, from websites with private domain to thread in online forums. This has advantages which is that people have more options to shop from, but …

A More Sustainable Way To Treat School Furniture, Huiyu Yang

Theses

People start to aware of living in a sustainable life and used school furniture is a part of the waste. School is a learning environment, and students are not only learned from teachers but also anything around them. How schools treat school furniture can be a huge influence on student’s attitudes to treat things in their lives. Therefore, this article is about how to redesign the school furniture sustainably and create an educational opportunity for students to learn how to live a sustainable lifestyle.

After the author analyses three aspects of the needs of school, manufacture, and sustainability and then …

A Model-Free Control System Based On The Sliding Mode Control With Automatic Tuning Using As On-Line Parameter Estimation Approach, Md Sariful Islam

Theses

The sliding mode control algorithm and Lyapunov-based methods, have received much attention recently due to their ability to directly handle nonlinear systems while guaranteeing closed-loop tracking stability. In this work, a unique model-free sliding mode control technique has developed solely based on previous control inputs. The new method requires only knowledge of the system order and state measurements and does not require a theoretical model of the dynamic system. Lyapunov’s stability theorem is used in the controller formulation process to ensure closed-loop asymptotic stability. High frequency chattering of the control effort is reduced by using a smoothing boundary layer into …

On The Generation, Structure, And Semantics Of Grammar Patterns In Source Code Identifiers, Christian D. Newman,, Reem S. Alsuhaibani, Michael J. Decker, Anthony Peruma, Dishant Kaushik, Mohamed Wiem Mkaouer, Emily Hill

Articles

Identifier names are the atoms of program comprehension. Weak identifier names decrease developer productivity and degrade the performance of automated approaches that leverage identifier names in source code analysis; threatening many of the advantages which stand to be gained from advances in artificial intelligence and machine learning. Therefore, it is vital to support developers in naming and renaming identifiers. In this paper, we extend our prior work, which studies the primary method through which names evolve: rename refactorings. In our prior work, we contextualize rename changes by examining commit messages and other refactorings. In this extension, we further consider data …

Recommender Systems And Amazon Marketing Bias, Yousuf Alolama

Theses

Proper marketing requires a great understanding of customers' needs and how they can be presented to them properly so that they purchase the services provided by companies and generate high profits. Recommender systems are considered as an answer to this marketing scheme; through feeding it enough data on customers' purchase history, it can understand what customers usually procure and what items can be proposed to them so that more sales can be conducted, resulting in higher profits. However, with the increasing number of techniques and algorithms for recommender systems, it reduced the rate of its accuracy toward presenting customers with …

Environmental Effects Of Coronavirus Pandemic: Analysis And Prediction Of Global Air Pollution Levels, Nouf Saif Alhmoudi

Theses

The Covid-19 pandemic started last semester when I was starting on my proposal. At that time, the pandemic lockdowns were at their peak levels with strict restrictions against movements. This was the case in most countries across the world. The effect this had on the air pollution was immediately felt. There were negligible amount of flights and road traffic had also significantly reduced. This led to an amazing clearing of the skies of pollution. For the first time in years, the Himalayan mountains could be seen, and many cities saw their smog and blanket of air pollution disappear. At that …

A Convolutional Neural Network (Cnn) Based Pill Image Retrieval System, Ezekiel Adebayo Adewumi

Theses

Several works have been done in the area of image retrieval systems, and many are still trying to provide improvements for a better model for retrieving said images. Image segmentation using clustering techniques is one of the most used approaches. There are various clustering methods available, but the non-linear k-means clustering technique is the most used method. In the following research, a model of retrieving images using a non-linear classifier aided with a convolutional neural network is proposed. Both algorithms were exploited and paired in terms of feature extraction and classification. Comprehensive evaluations over a dataset containing over 7,000 pill …

Smart Grid Program For Large Firms, Masood Alolama

Theses

A smart grid can help utilities conserve energy, cut costs, increase reliability and accountability, and increase efficiency in processes. Nevertheless, the growing use of IT-based electrical power systems increases the vulnerabilities of cyber security causes which increases the importance of cyber security in interconnected power grids. Utilities should understand protection of the smart grid, including vulnerable areas, strategic issues, layered security. However, there is a lack of awareness over the country since the inhabitants less informed about its importance in our life to transform into a smart grid and being part of this plan. Knowing that the government started already …

Nature-Inspired Topology Optimization Of Recurrent Neural Networks, Abdelrahman A. Elsaid

Theses

Hand-crafting effective and efficient structures for recurrent neural networks (RNNs) is a difficult, expensive, and time-consuming process. To address this challenge, this work presents three nature-inspired (NI) algorithms for neural architecture search (NAS), introducing the subfield of nature-inspired neural architecture search (NI-NAS). These algorithms, based on ant colony optimization (ACO), progress from memory cell structure optimization, to bounded discrete-space architecture optimization, and finally to unbounded continuous-space architecture optimization. These methods were applied to real-world data sets representing challenging engineering problems, such as data from a coal-fired power plant, wind-turbine power generators, and aircraft flight data recorder (FDR) data.

Initial work …

Influence Of Liquid Height On Pool Boiling Heat Transfer, Maharshi Y. Shukla

Theses

As technology advances due to continuous research, devices are becoming more compact, efficient, and powerful. Therefore, heat rejection from such devices becomes ever so critical to maximizing their potential. Compared to other heat extraction methods, boiling provides one of the highest heat transfer coefficients. The heat extraction due to the boiling process is limited to the Critical Heat Flux (CHF). At CHF, an insulating layer of escaping bubbles forms upon the surface to prevent boiling continuity. Subsequently, the surface temperature increases uncontrollably, leading to a system failure. Hence, the elevation of CHF is critical to boiling enhancement. Improvements to the …

Backplane System Design Considerations For Micro Led Displays, Kush Benara

Theses

Display technologies have evolved from the bulky Cathode Ray Tube based displays to the latest lightweight and low power micro-Led (uLED) based flat panel displays. A display system consists of a device technology that either manipulates the incoming light or emits its own light and a controller circuit to control the behavior of these devices. This system makes up the backplane of a display technology. uLEDs due to their small size provide higher resolution and better contrast than all the previous display technologies like the LCDs and the OLEDs. Backplane system design considerations for a uLED flat panel display is …

Proactive Exploration Of Fire Incidents Using The Integration Of Direct Alarm System And Cctv System, Abdullah Ahmed Abdi

Theses

By 2050, the population of urban cities will have increased by millions of people. Statistics by the UN Department's population division of economic and social affairs (United Nations, 2018) indicate that today, at least 55% of the world's population live in urban centers. Further, the UN department forecasts that by 2050, at least 68% of the world's population will be living in urban areas. This means that more than 2.5 billion people will relocate from rural areas to urban areas. According to the International Association of Fire Service Trainers and FDNY and Standard operating procedures, the fire is the most …

Iot Smart Parking, Anas Hamdan

Theses

A Smart City is designed to improve the quality of life of its residents by utilizing the forefront innovations. Embedded within the smart city is the fundamental innovation using the Internet of Things (IoT) to provide novel solutions to residents, prompting to the enhancement of everyday life while promoting sustainability. This project highlights smart parking management that is a key pillar of a smart city. It implements IoT, sensors, and software to track the availability of parking spaces, the number of vehicles parked in a parking lot, the time for which these vehicles have been parked, and the real-time pricing …

Using Machine Learning Software In The Human Resource Recruiting Process For Candidates From Dubai Police Academy, Ibrahim Alkhazraji, Ali Saeed Buhaliba

Theses

Since Machine learning software explored the first recruitment software and found that utilizing technology improves their efficiency at work, speed, and makes the process easier, the use of machine learning for recruitment has become one of the major themes in human resources. In a few years, hiring top talents may lean entirely on the ability of the recruiters to automate their workflows intelligently. Over time, the function of human resource management has indeed evolved in organizations, as technology has been marveled for its greater efficiency in almost every sector. The use of Machine learning for recruiting in organizations has not …