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Opinion Mining Of Phone Sitting Feature, Atiq Yousuf Ahmad May 2022

Opinion Mining Of Phone Sitting Feature, Atiq Yousuf Ahmad

Theses

This report aims to evaluate opinion mining of customers about phone sitting features in cell phones in different brands across the world by using data mining techniques. Therefore, Data for the report has been collected from data scrapping in Qoura which collects opinion of customers. The collected information from the data base has evaluated by using sentiment analysis. The collected information from Qoura transforms the content and extracts data from API’s. In relation to this, information obtains from the research contributed for providing useful information for these features. The collected information from application scrapping has been analysed through sentiment analysis. …

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Predictive Policing, Amna Ali Al Boom, Shaikha Khalid Bin Thani May 2022

Predictive Policing, Amna Ali Al Boom, Shaikha Khalid Bin Thani

Theses

UAE is one of the safest countries to live in, but that does not indicate that the country does not witness crimes, During the COVID-19 pandemic, the country saw an increase in cyber and digital crimes. Apart from cybercrime, there are other types of crimes, such as street crimes and violent crimes. Data analytics aids Dubai Police to predict crimes. Criminal investigation is one of the fields that is very interesting and is taught in colleges and academies. Data analytics opens the door for studying the details of each crime. Data mining tools consist of a variety of techniques that …

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The Power Of Mind Control, Ali Adnan Majed May 2022

The Power Of Mind Control, Ali Adnan Majed

Theses

Electroencephalogram (EEG) is a technology that has been used for so long to read and record neurological activity in the brain. EEG recordings are widely used nowadays for different neurological applications. Emerging technologies that can detect and analyze eye focus using EEG based technology are now are developing quickly. At a relatively affordable cost one can own an EEG kit. With the help of predisposed algorithms or the help of developers, new algorithms for different commands are being worked on. Along with other technologies EEG eye tracking can be beneficial in many domains such as, psychology, marketing, automotive industry, and …

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Supply Chain Disruption: A Conceptual Framework On Decision Making Using Neuroscience, Sadiya Siddique May 2022

Supply Chain Disruption: A Conceptual Framework On Decision Making Using Neuroscience, Sadiya Siddique

Theses

The simplest definition of supply chain is the delivering of goods and/or services to the consumers required by the organization. In the late 1950s it was identified that the supply chain system was becoming more uncertain due to the changes in demands and inventory. Due to globalization and other business factors, supply chain has become more complex now due to which the likelihood and impact of disruption has increased. These disruptions can vary between known-unknowns and controllable to unknown-unknowns and uncontrollable ones. In recent years, the major disruptions happening in the supply chain and its effects on bottom line of …

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Sustainable Antibacterial And Antiviral Polyesters Based On Succinic Acid, Mercaptosuccinic Acid, And Eugenol, Rebekah Finster May 2022

Sustainable Antibacterial And Antiviral Polyesters Based On Succinic Acid, Mercaptosuccinic Acid, And Eugenol, Rebekah Finster

Theses

Synthetic polymers have become indispensable in modern life. However, the prevalent use of synthetic polymers has created major sustainability issues including petroleum resource depletion and overfilling of landfills. At the same time, antibiotic resistance and the spread of new viruses have driven a need for antimicrobial and antiviral materials. A sustainable way to make materials antibacterial or antiviral is to use essential oils. Eugenol is a commonly used essential oil for these purposes, but it has been found to cause tissue irritation on contact. When eugenol is covalently connected to the material, these effects of oil leaching can be avoided. …

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Resource Use And Water Implications Of Material Consumption In Consumer Electronics, Hema Madaka May 2022

Resource Use And Water Implications Of Material Consumption In Consumer Electronics, Hema Madaka

Theses

Rapid technological innovation has introduced a broad spectrum of materials in the consumer electronics sector. Consumption of these materials increases the demand for water and potentially discharge contaminants into the water resources across their life cycle, exacerbating freshwater scarcity and pollution. These water impacts have not yet been fully studied, as most literature on consumer electronics focuses on supply chain energy, carbon footprint, or end of life management. Evaluating water impacts requires data on material content, life cycle water consumption and emissions at spatial level, and availability of impact assessment models that connects life cycle data to water impacts. Data …

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I, Object, Shanee Gordon May 2022

I, Object, Shanee Gordon

Theses

I, Object is a 3D animated film which dives into the difference between intrinsic value and perceived value, both by an individual and by society, through an anthropomorphized world where household objects must do what they can to survive the onslaught of a depressed, do-it-yourself, divorcee. Following the mockumentary format, these objects are interviewed about the situation they find themselves in. The different personalities and dynamics between the characters brings a comedic element to an otherwise serious encounter. Opening with how the situation has progressed until the moment the filming crew arrived, the film jumps between characters but sticks to …

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Light Management In Iii-V Thin-Film Photovoltaics And Micro-Leds, Julia Rae D'Rozario May 2022

Light Management In Iii-V Thin-Film Photovoltaics And Micro-Leds, Julia Rae D'Rozario

Theses

Light management is essential to improve the performance of optoelectronic devices as they depend on the interaction between photons and device design. This research demonstrates novel approaches to enhance the light absorption in thin-film III-V photovoltaics (PV) and light emission from micrometer-scale light-emitting diodes (μLED). The high power conversion efficiency (PCE) realized in III-V PV makes them attractive power generation sources, especially for off-the-grid space-related missions. Thin-film PV (< 1 μm) offer great tolerance towards the inevitable radiation damage in the space environment as carrier collection is maintained compared to their optically thick counterparts (3-5 μm). To combat transmission loss of photons traveling through the thinned device, this work develops textured back surface reflectors (BSR) to increase the optical path length (OPL) of unabsorbed photons to generate electron-hole pairs. The textures are created via etching techniques and epitaxial regrowth and are characterized by surface imaging and reflectance (R) measurements. The textured BSR with high diffuse R increase the OPL, and the best-known design demonstrates over a four-fold increase in the OPL, which is two times greater than the planar BSR. This research delivers new analyses useful to the PV community, including the lifetime enhancement factor and free-carrier absorption modeling, which aim to improve the PCE in thin-film PV. Modern display technology is constantly integrated into daily use to convey information and connect people worldwide. The next generation of wearable devices requires small-featured displays to achieve high resolution. The μLED delivers value to near-eye displays through low power consumption, long lifetime, high contrast, and increased resolution. As these devices reduce in size, surface states limit the light output power (LOP) at the roughened sidewalls, and the perimeter-to-area ratio must be considered. This research focuses on developing a fabrication process that improves LOP through sidewall treatments. The dry etch process is optimized to reduce surface roughness, and sidewall treatments via wet-chemical etching, in situ etching, and regrowth aim to improve the sidewall quality. Scanning electron microscopy on the LED sidewalls supports the optimized fabrication process. Luminescence characterization reveals that combinations of etching and regrowth suppress non-radiative recombination events. These techniques render pathways to enhance LOP in LEDs smaller than 25 μm x 25 μm.

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A Smart Yoga Mat System Designed For Visually Impaired People, Dan Han May 2022

A Smart Yoga Mat System Designed For Visually Impaired People, Dan Han

Theses

Globally, nearly 2.2 billion people are visually impaired, while 39 million are blind at present. Due to various factors, it is difficult for the blind to exercise. Though associations for blind people and disabled schools provide more possibilities for sports training for visually impaired people, these resources cannot reach everyone in need because of location and foundation limits. The project aims to make fitness more accessible for visually impaired people to help them keep healthy. Thus it could support their confidence and independence as they expected. Furthermore, society's awareness of visually impaired people's difficulties while exercising then, more studies could …

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Poster Design: Possible Future Living Space For Overpopulated Hong Kong, Rong Dai May 2022

Poster Design: Possible Future Living Space For Overpopulated Hong Kong, Rong Dai

Theses

According to the official statistics of China, Hong Kong’s limited land space has always struggled with overpopulation, and cheap cage homes quickly became an easy solution for many poor people. However, terrible and cramped living conditions not only make physical activities difficult, but also deprive residents of their basic housing rights. People can not envision what the living space will look like in the future, and they lack a sense of what a healthy community is. This project intends to visualize a possible future living space through illustration and information diagrams, giving the audience who live in overpopulated countries an …

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Biohelm Smart Hockey Helmet: A Conceptual Wearable System For Protecting And Empowering Female Athletes, Anthony Parrucci May 2022

Biohelm Smart Hockey Helmet: A Conceptual Wearable System For Protecting And Empowering Female Athletes, Anthony Parrucci

Theses

Women’s ice hockey is one of the fastest growing sports in the world and needs the most articles of protective equipment. At the National Collegiate Athletic Association (NCAA) level, not only do these athletes need to adapt to team issued equipment that rarely fits comfortably or safely but must also consider the important facets that impact overall performance. The main objective of this project is to promote inclusivity while protecting, empowering and educating athletes in an ethical, noninvasive manner to positively impact the culture of women’s sports. Overexertion at the NCAA level increases exponentially due to the intense training and …

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Basketball Footwear, Adaptable Vamp Modular Mid-Sole To Better Match Foot Shape And Player’S Needs, Zihan Luo May 2022

Basketball Footwear, Adaptable Vamp Modular Mid-Sole To Better Match Foot Shape And Player’S Needs, Zihan Luo

Theses

The left and right feet are not exactly symmetrical, including the form, muscle strength, yet the left and right sneakers on the market are equal. Through the configuration of modular basketball shoe mid sole, users can choose their own basketball shoes that fit both feet. This project is a basketball footwear works those problems mention above.

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Steam Toys: Empowering The Next Generation Of Women In Stem, Grace Newman-Lapinski May 2022

Steam Toys: Empowering The Next Generation Of Women In Stem, Grace Newman-Lapinski

Theses

Even in 2022, STEM (science, technology, engineering, and mathematics) fields continue to be dominated by men. Starting from an early age, women are systematically pushed out of STEM fields. Three main reasons contribute to this – gender bias, lack of role models, and a lack of opportunity for skill building at an early age. This paper proposes that STEAM (STEM + Art) toys are critical to empowering the next generation of women in STEM. By mixing art with STEM, STEAM toys provide kids with the opportunity to explore these complex fields of study in creative ways. By making use of …

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The Pentest Method For Business Intelligence, P. Soma Reddy, Justin Pelletier May 2022

The Pentest Method For Business Intelligence, P. Soma Reddy, Justin Pelletier

Presentations and other scholarship

Information transactions and data retention comprise critical inputs to Business Intelligence processes. However, despite ongoing data-driven Business Intelligence process improvements, many companies only discover they are vulnerable to a cyber-attack after a breach materializes the risk. In this study, we propose that compliance regimes such as the global Payment Card Industry Data Security Standard (PCI-DSS), the federal Gramm-Leach Bliley Act (GLBA), and the regional 23-NYCRR-500 standard provide externally-imposed risk discovery opportunities that should be part of managerial decision-making. This paper describes the penetration test (pentest) method relative to those regulatory regimes. We then consider the potential for the pentest method …

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An Exploratory Study On Refactoring Documentation In Issues Handling, Eman Abdullah Alomar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni May 2022

An Exploratory Study On Refactoring Documentation In Issues Handling, Eman Abdullah Alomar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni

Articles

Understanding the practice of refactoring documentation is of paramount importance in academia and industry. Issue tracking systems are used by most software projects enabling developers, quality assurance, managers, and users to submit feature requests and other tasks such as bug fixing and code review. Although recent studies explored how to document refactoring in commit messages, little is known about how developers describe their refactoring needs in issues. In this study, we aim at exploring developer-reported refactoring changes in issues to better understand what developers consider to be problematic in their code and how they handle it. Our approach relies on …

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Code Review Practices For Refactoring Changes: An Empirical Study On Openstack, Mohamed Wiem Mkaouer, Eman Abdullah Alomar, Moatz Chouchen, Ali Ouni May 2022

Code Review Practices For Refactoring Changes: An Empirical Study On Openstack, Mohamed Wiem Mkaouer, Eman Abdullah Alomar, Moatz Chouchen, Ali Ouni

Articles

Modern code review is a widely used technique employed in both industrial and open-source projects to improve software quality, share knowledge, and ensure adherence to coding standards and guidelines. During code review, developers may discuss refactoring activities before merging code changes in the code base. To date, code review has been extensively studied to explore its general challenges, best practices and outcomes, and socio-technical aspects. However, little is known about how refactoring is being reviewed and what developers care about when they review refactored code. Hence, in this work, we present a quantitative and qualitative study to understand what are …

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Addressing Energy Efficiency In Rental Units: A Preliminary Cost Assessment Of Minimum Energy Standards And Policy Alternatives For Rochester, Ny, Bryn Stricker May 2022

Addressing Energy Efficiency In Rental Units: A Preliminary Cost Assessment Of Minimum Energy Standards And Policy Alternatives For Rochester, Ny, Bryn Stricker

Theses

With the rising concern for climate change and energy consumption, global, national, and local policies attempt to reduce carbon emission and energy usage. Starting in 2010, the city of Rochester established a climate action plan which aims to reduce greenhouse gas emissions by 40% in the year 2030 (City of Rochester, NY, 2017). The city recognizes rental homes are a promising source to mitigate energy consumption and carbon emissions, a type of greenhouse gas. Minimum energy standards for rentals (MESR) are a relatively new type of policy which can help achieve energy and carbon reduction goals. By using an existing …

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Variable Gain Amplifier With Digital Control, Diksha Singh May 2022

Variable Gain Amplifier With Digital Control, Diksha Singh

Theses

The design of CMOS variable gain amplifier (VGA) with digital control is presented in this project. The first stage of VGA is a two-stage op-amp connected in a voltage follower configuration with a series of resistors and transmission gates at the output followed by the second stage which consists of a two stage Op-amp in parallel with a series of transmission gates and resistors which is used to control the gain of the circuit. The two-stage op amp is designed using gm/Id methodology. The gain of this two-stage op amp is 80.34 dB, phase margin is 94.58º, input common mode …

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Sustainable Applications Of Biochar Derived From Food Waste And Paper Feedstocks, Steven T. Barber May 2022

Sustainable Applications Of Biochar Derived From Food Waste And Paper Feedstocks, Steven T. Barber

Theses

There is general agreement in the scientific literature that carbon sequestration is an important tool to mitigate human-induced climate change, but current methods are lacking scalability and economic viability. Though charcoal has been a common fuel for millennia, it has only very recently been purposefully created to sequester carbon. This carbon dense material, called biochar, has been extensively studied as a soil amendment though less studied for industrial applications. Chapter 1 provides an in-depth overview and background discussion of the history and definitions of biochar, distinguishing it from closely related though often misconstrued terms like charcoal, activated carbon, and carbon …

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Testing Of Neural Networks, Devan Lad May 2022

Testing Of Neural Networks, Devan Lad

Theses

Research in Neural Networks is becoming more popular each year. Re- search has introduced different ways to utilize Neural Networks, but an important aspect is missing: Testing. There are only 16 papers that strictly address Testing Neural Networks with a majority of them focusing on Deep Neural Networks and a small part on Recurrent Neural Networks. Testing Re- current neural networks is just as important as testing Deep Neural Networks as they are used in products like Autonomous Vehicles. So there is a need to ensure that the recurrent neural networks are of high quality, reliable, and have the correct …

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Sku Time Series Forecasting Methods For Fmcgs, Mohammad Al Orbani May 2022

Sku Time Series Forecasting Methods For Fmcgs, Mohammad Al Orbani

Theses

This research aims at using forecasting algorithm that predicts the demand that is to be needed on a monthly basis while factoring in occasional inconsistent patterns, seasonality, and non-stationary and cyclical patterns of the data. The prediction is to predict around 3000 SKUs in 19 end markets and since the data is necessary for marketing enhancement and strategies, the Forecasting accuracy must be high. Since market strategies will be based on those predictions and revenue will be lost in the case of an error. Hence, we need to keep in mind that the model is not overfitted and that it …

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Design And Evaluation Of A Machine Learning Based Model For Optimization Of Residential Battery Energy Storage System Scheduling For Cost And Emissions Reductions, Kevin George May 2022

Design And Evaluation Of A Machine Learning Based Model For Optimization Of Residential Battery Energy Storage System Scheduling For Cost And Emissions Reductions, Kevin George

Theses

Usage of battery energy storage system (BESS) to facilitate demand response (DR) programs such as time of use (TOU) pricing can reduce utility bills for residential customers. However, using such a system for minimizing electric bills under these rate structures has the potential to cause an increase in emissions from the grid system. The increased emissions were majorly due to bulk energy storage of electricity produced by off-peak generators with higher emission rates and excess energy consumption due to battery inefficiency. BESS operating to optimize competing objectives to minimize utility cost and minimize CO2 emissions requires complex models that require …

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Deeprm: Deep Recurrent Matching For 6d Pose Refinement, Alexander Avery May 2022

Deeprm: Deep Recurrent Matching For 6d Pose Refinement, Alexander Avery

Theses

Precise 6D pose estimation of rigid objects from RGB images is a critical but challenging task in robotics and augmented reality. To address this problem, we propose DeepRM, a novel recurrent network architecture for 6D pose refinement. DeepRM leverages initial coarse pose estimates to render synthetic images of target objects. The rendered images are then matched with the observed images to predict a rigid transform for updating the previous pose estimate. This process is repeated to incrementally refine the estimate at each iteration. LSTM units are used to propagate information through each refinement step, significantly improving overall performance. In contrast …

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Understanding Customer Behaviour In Restaurants Based On Data Mining Prediction Technique, Abdulrahman Yousef Alshamsi May 2022

Understanding Customer Behaviour In Restaurants Based On Data Mining Prediction Technique, Abdulrahman Yousef Alshamsi

Theses

Customer’s behavior varies from person to person based on their segmentations, while understanding these differences is one of the key elements of success in food and beverage sector. By understanding customer’s behaviors, restaurant’s owners will be able to identify their targeted customers and will give a clear insight on their menu products. Additionally, it will allow them to target their marketing campaigns, increase the revenue and optimize the cost. Artificial intelligence applications in this field have a huge positive impact in operations of food and beverage sector and depending on of this technology will change the way of restaurant’s management. …

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Leveraging Identifier Naming Structures In Source Code And Bug Reports To Localize Relevant Bugs, James Dugan May 2022

Leveraging Identifier Naming Structures In Source Code And Bug Reports To Localize Relevant Bugs, James Dugan

Theses

When bugs are found in source code, bug reports are created which contain relevant information for developers to locate and fix the bug. In large source code repositories, it can be difficult and time consuming for developers to manually analyze bug reports to locate a bug. The discovery of patterns between bug reports and source files has led to the creation of automated tools using various techniques. Automated bug localization techniques can reduce the amount of manual effort required by developers by ranking the most probable location of the bug using textual information from bug reports and source code. Although …

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Multi-Modal Human Fatigue Classification Using Wearable Sensors For Human-Robot Teams, Likhitha Nagahanumaiah May 2022

Multi-Modal Human Fatigue Classification Using Wearable Sensors For Human-Robot Teams, Likhitha Nagahanumaiah

Theses

Our main objective of this study is to create a fatigue detection model using real-time data by using wearable sensors. The purpose of this research is to learn more about the way humans experience fatigue in a supervisory human-machine environment. The goal of this study is to evaluate machine learning algorithms that assess fatigue detection and to use robots for adapting its interactions. The environment itself consists of two different tasks to analyze Physical fatigue and Mental fatigue in two different task environments that are (i) Jigsaw puzzle-solving task, and (ii) Pick and Place task. Physical fatigue and mental fatigue …

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Taxonomy Of Software Readability Changes, Stephen J. Cook May 2022

Taxonomy Of Software Readability Changes, Stephen J. Cook

Theses

Software readability has emerged as an important software quality metric. Numerous pieces of research have highlighted the importance of readability. Developers generally spend a large amount of their time reading and understanding existing code, rather than writing new code. By creating more readable code, engineers can limit the mental load required to understand specific code segments. With this importance established, research has been done into how to improve software readability. This research looked for ways of measuring readability, how to create more readable software, and how to potentially improve readability. While some research has examined the changes developers make, their …

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Why Did You Clone These Identifiers? Using Grounded Theory To Understand Identifier Clones, Luis Angel Gutierrez Galaviz May 2022

Why Did You Clone These Identifiers? Using Grounded Theory To Understand Identifier Clones, Luis Angel Gutierrez Galaviz

Theses

Developers spend most of their time comprehending source code, with some studies estimating this activity takes between 58% to 70% of a developer’s time. To improve the readability of source code, and therefore the productivity of developers, it is important to understand what aspects of static code analysis and syntactic code structure hinder the understandability of code. Identifiers are a main source of code comprehension due to their large volume and their role as implicit documentation of a developer’s intent when writing code. Despite the critical role that identifiers play during program comprehension, there are no regulated naming standards for …

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Quantum Solutions For Training A Single Layer Binary Neural Network, Sabrina Ly May 2022

Quantum Solutions For Training A Single Layer Binary Neural Network, Sabrina Ly

Theses

Quantum computing is a relatively new field starting in the early 1980s when a physicist named Paul Benioff proposed a quantum mechanical model of the Turing machine, introducing quantum computers. Previously, the focus of most quantum computers was in the study of quantum applications instead of broad applications due to the fact that quantum technology is a newer field with many technology constraints, such as limited qubits and noisy environments. However, quantum computers are still capable of using quantum mechanics to solve specific algorithms with an exponential speed-up in comparison to their classical counterparts. One key algorithm is the HHL …

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Identifying Psychological Mental Disorders Through Machine Learning, Mohammad Al Abdooli May 2022

Identifying Psychological Mental Disorders Through Machine Learning, Mohammad Al Abdooli

Theses

Psychology is the Study of Human Behavior and the various ways of thinking in it’s both consciousness and unconsciousness mind as this field is still growing to various fields such as Sports, Criminal and even Administrative Psychology through, Furthermore, This Study aims to shape and accommodate both fields of Sciences together, There are very few Scholars and Researches done on Medical Mental Health from a Data Analytics perspective, examining the datasets of the patients ICD-11 or DSM-5 scores and correlating it with the patients well-being, family medical history or any accident the patient have been through, so the current study …

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