Engineering Commons^™

A Survey Of Iot Cloud Platforms, Partha Pratim Ray

Future Computing and Informatics Journal

Internet of Things (IoT) envisages overall merging of several “things” while utilizing internet as the backbone of the communication system to establish a smart interaction between people and surrounding objects. Cloud, being the crucial component of IoT, provides valuable application specific services in many application domains. A number of IoT cloud providers are currently emerging into the market to leverage suitable and specific IoT based services. In spite of huge possible involvement of these IoT clouds, no standard cum comparative analytical study has been found across the literature databases. This article surveys popular IoT cloud platforms in light of solving …

A Cloud Interoperability Broker (Cib) For Data Migration In Saas, Hassan Ali, Ramdan Mowad, Amira Farouk

Future Computing and Informatics Journal

Cloud computing is becoming increasingly popular. Information technology market leaders, e.g., Microsoft, Google, and Amazon, are extensively shifting toward cloud-based solutions. However, there is isolation in the cloud implementations provided by the cloud vendors. Limited interoperability can cause one user to adhere to a single cloud provider; thus, a required migration of an application or data from one cloud provider to another may necessitate a significant effort and/or full-cycle redevelopment to fit the new provider's standards and implementation. The ability to move from one cloud vendor to another would be a step toward advancing cloud computing interoperability and increasing customer …

Fixing Rules For Data Cleaning Based On Conditional Functional Dependency, Asmaa Abdo

Future Computing and Informatics Journal

Most existing databases suffer from data inconsistencies. Enhancing data quality efforts are necessary to resolve this issue. In this paper, two techniques are proposed for mining accurate conditional functional dependencies rules from such databases to be employed for data cleaning. The idea of the proposed techniques is to mine firstly maximal closed frequent patterns, then mine the dependable conditional functional dependencies rules with the help of lift measure. Moreover, data repairing algorithm is proposed for fixing inconsistent tuples found in the database exploiting the generated rules. An extensive experimental is conducted study to confirm the effectiveness of the proposed techniques …

Benefits And Challenges Of Cloud Erp Systems – A Systematic Literature Review, Mohamed Abd Elmonem, Eman Nasr, Mervat Geith

Future Computing and Informatics Journal

Enterprise Resource Planning (ERP) systems provide extensive benefits and facilities to the whole enterprise. ERP systems help the enterprise to share and transfer data and information across all functions units inside and outside the enterprise. Sharing data and information between enterprise departments helps in many aspects and aims to achieve different objectives. Cloud computing is a computing model which takes place over the internet and provides scalability, reliability, availability and low cost of computer reassures. Implementing and running ERP systems over the cloud offers great advantages and benefits, in spite of its many difficulties and challenges. In this paper, we …

Centrifi: A Centralizedwireless Access Point Management Platform, Andreas Anderhub, Zac Wilson

Computer Science and Engineering Senior Theses

With the ubiquity of wireless end-devices, more strain is placed on standard network deployment architectures. Mesh networks have started to rise in popularity in order to meet the needs of modern wireless networks. However, the existent solutions for deploying and centrally configuring mesh networks leave much to be desired, as most are either too expensive or too cumbersome. This paper showcases a solution to this problem, CentriFi—an open source platform, built to run on OpenWrt access points, providing a quick and easy way to set up and configure mesh networks in a central location using the 802.11s standard. CentriFi provides …

The Character Jar: Trait-Based Facial Feature Generation Software, Angela Shao

Computer Science and Engineering Senior Theses

While AI has come a long way in random facial generation, very limited research has been done on targeted generation. Initial impressions given by faces vary widely depending on the shape and proportions of the features. This project will design a program that manipulates a face shape according to given traits. By using preexisting research on the correlation between facial features and associated characteristics and impressions, the practical uses of facial generation increase many fold. This allows facial generation to be applied to marketing and design, as well as increasing the overall accessibility to any laypersons seeking such applications.

Transcriptome Studies On The Toxicity Of Silica Nanoparticles, Shih-Yi Hsu

USF Tampa Graduate Theses and Dissertations

Nanotechnology enables more precise harmony in health condition via reducing the dosage amount, improving the delivery of hydrophobic drugs, more specific targeting to the cancerous sites, and so on. Nevertheless, issues regarding the toxicity of nanotechnology have begun to call for attention several decades later after the innovation of nanotechnology. Tools about risk management of nanotechnology have been developed, but recently not much evidence recognizes the toxicity of nanoparticles (NPs) except for some animal studies, which demonstrated organ damage after the exposure to NPs. Toxicogenomic approach refers to the method utilizing gene expression to evaluate the chemical toxicity. Databases as …

Creation Of Mobile Applications For The Shrines Of Al-Hakim Al-Termizi, Mavlyuda Xodjayeva, Turdali Jumayev, Alimjon Dadamuhamedov, Barno Saydakhmedova

The Light of Islam

We recognize that the sustainable development of tourism has great potential for the development of cultural and humanitarian ties around the world. We emphasize the importance of information technology in tourism, especially in the areas of advertising, marketing, differentiation and specialization of tourism products. In addition, we reaffirm our commitment to pilgrimage tourism for the individual growth of people and the strengthening of basic social norms and national values. The program uses modern programming languages such as Php, Java, C ++. Al-Hakim at-Termizi is one of the most famous places of worship in Uzbekistan, which is also known for its …

Cloud Technologies In Islamic Education Institutions, Alimjon Dadamuhamedov Irgashevich

The Light of Islam

Information and Communication Technology is making use of ICT tools to store and retrieves information. It plays an important role in growing and maintaining a country’s economic growth. One of the latest technologies prevailing nowadays is cloud computing. By sharing IT services as platform-based, software-based, and infrastructure-based in the cloud, educational institutions in Uzbekistan can now out-source non-core services and better concentrate on offering students, teachers, faculty and other staff the essential tools to help them succeed. This paper looks at how Cloud Computing can be applied in the study of ICT and focuses on the role of cloud computing …

Demonstration Of A Distributed Bragg Reflector For Polyvinylcarbazole And Cadmium Sulfide Layers: Modeling And Comparison To Experimental Results, Javier E. Hasbun, L. Ajith Desilva

Georgia Journal of Science

Light wave propagation in a periodically stratified medium has many applications in physics, mathematics, and engineering. The subject is of interest to students, teachers, and researchers, as it presents a great opportunity to focus on principles of optics and to understand the basics of mathematical modeling. A complete theory of wave propagation can be derived using Born’s optics theory. We employed that theory to determine the reflectivity of a one-dimensional distributed Bragg reflector (DBR) and do simulations using MATLAB. A DBR is a photonic crystal consisting of alternating layers of materials with different refractive indices. In this study, we modeled …

Detection Of Rouge Drones Based On Radio Frequency Classification, Akash V. Gosai, Sachin Shetty

OUR Journal: ODU Undergraduate Research Journal

The current classification of RF signals from the drone is achieved by leveraging raw signal information of a specific band. The modulation scheme that was found prevailing in commercial drones is Orthogonal Frequency Division Multiplexing (OFDM). OFDM can demodulated to provide information about a raw drone signal. This extracted data is coupled with a machine learning algorithm that is used to classify the signal. Testing of this research is needed to identify better equipment and an optimized test scenario that captures quality data that can be used to train a machine learning algorithm.

Galapago!, Kristina Anderson, Kat Hibbert, Mariah Manzano, Catrina Nguyen

Computer Science and Engineering Senior Theses

When traveling to the Galápagos Islands, tourists are unaware of all the Islands have to offer and only visit popular tourist spots. They bring in pests which are damaging to the ecological structure and do not contribute to the local economy. There is very limited Internet services on the Islands and not many online resources to be found. We have created a mobile and web application that show users recommendations for their visit. Because the Galápagos Islands do not have reliable internet connectivity, our application must not rely on connectivity to function. Instead, users will only need to connect once …

Omwanathrive: A Neonatal Survival App, Story Deweese, Tiffany Lee, Samantha Sy, Emily Zhang

Computer Science and Engineering Senior Theses

Uganda’s infant mortality rate is alarmingly high, ranking twenty-first in the world for highest infant mortality; eighty-one babies die within their first month of life each day in Uganda. The UN reports the greatest risk factors are rural location, prematurity, and young impoverished mothers with limited educational opportunities. Thus, young women are giving birth to children before they even learn about how to take care of their newborn infant. Our solution to this problem is in the form of a mobile application called OmwanaThrive: Neonatal Survival App. The purpose of the app is to educate women about how to properly …

Youlearn: Offline Media Streaming Application For Rural Uganda, Emma Allegrucci, Jiabei Luo, Brianna Mcgovern

Computer Science and Engineering Senior Theses

The country of Uganda has implemented universal primary and secondary education. But still, some families cannot afford to send their children to school. When young people drop out of school, they often must resort to working illegal, unsafe, and low-paying jobs. Job prospects are even worse for disabled children. The objective of this project is to bring digital educational resources into rural villages in a low-cost manner.

YouLearn is an educational system that allows for o✏ine media streaming. Our system includes a Raspberry Pi to store the media locally and allows for streaming without WiFi being necessary. Our system supports …

Hydrolastic Damping: A Change To The Modern Helmet, Mark Buesa, Ara Moosekian, Michael Simeon, Ian Watts

Mechanical Engineering Senior Theses

High rates of concussion in the NFL suggest that helmet technology is not satisfactory for the athletes, and soft foam padding has dominated the helmet industry since its inception. The team proposed that implementing a fluid-based hydrolastic suspension system in the helmet would reduce the risk of concussions at all levels of competition. After using COMSOL to successfully model fluid flow through the dampers and after physical testing on dampers filled with air and water lead to increased "time to stop" of an average of 240% when compared to traditional foam padding, the team concluded that the dampers showed promise …

Deep Reinforcement Learning For Dialogue Systems With Dynamic User Goals, Glen Chandler

Computer Science and Engineering Master's Theses

Dialogue systems have recently become a widely used system across the world. Some of the functionality offered includes application user interfacing, social conversation, data interaction, and task completion. Most recently, dialogue systems have been developed to autonomously and intelligently interact with users to complete complex tasks in diverse operational spaces. This kind of dialogue system can interact with users to complete tasks such as making a phone call, ordering items online, searching the internet for a question, and more. These systems are typically created by training a machine learning model with example conversational data. One of the existing problems with …

Drive Health: Road Condition Detection, Peter Ferguson, Brian Walker

Computer Science and Engineering Senior Theses

Roadways play an essential role in toady’s society by contributing to economic growth and development, providing social benefits and fast routes to travel around efficiently. With more and more cars on roads, the quality of the streets is deteriorating faster than before. This decrease in road health contributes to hazards such as potholes and can cause significant damage to vehicles on the road. Currently, the process of improving and monitoring roads’ health is done infrequently and is time-consuming for the government. Therefore, many road quality issues are manually reported by the people who drive on them. This requires filling out …

Optimal Reactor Configuration Of A Microbial Fuel Cell Containing Bacteria Genetically Engineered To Degrade Urea, Ann Mcmonigal, Sarah Khoilian, David Bengford

Bioengineering Senior Theses

The original specific aim of this project was to use a microbial fuel cell (MFC) fueled by the catabolism of E. coli DH5α (pKAU17) bacteria in order generate current as a result of urea degradation. The initial design plan was to test the bacteria outside of the MFC, obtain power measurements,, and finally, construct an electrochemical model that would be compared to an existing theoretical model developed at SCU. Using a 0.25 L anode chamber, graphite electrodes and a sulfonated tetrafluoroethylene based fluoropolymercopolymer proton exchange membrane the galvanic cell was constructed. In response to constraints, the design plan was modified …

Lstm-Based Anomaly Detection For Non-Linear Dynamical System, Yue Tan, Chungjing Hu, Kuan Zhang, Kan Zeng, Ethan A. Davis, Jae Sung Park

Department of Mechanical and Materials Engineering: Faculty Publications

Anomaly detection for non-linear dynamical system plays an important role in ensuring the system stability. However, it is usually complex and has to be solved by large-scale simulation which requires extensive computing resources. In this paper, we propose a novel anomaly detection scheme in non-linear dynamical system based on Long Short-Term Memory (LSTM) to capture complex temporal changes of the time sequence and make multi-step predictions. Specifically, we first present the framework of LSTM-based anomaly detection in non-linear dynamical system, including data preprocessing, multi-step prediction and anomaly detection. According to the prediction requirement, two types of training modes are explored …

Learning Acoustic Word Embeddings With Dynamic Time Warping Triplet Networks, Denis Shitov, Elena Pirogova, Tadeusz A. Wysocki, Margaret Lech

Department of Electrical and Computer Engineering: Faculty Publications

In the last years, acoustic word embeddings (AWEs) have gained significant interest in the research community. It applies specifically to the application of acoustic embeddings in the Query-by Example Spoken Term Detection (QbE-STD) search and related word discrimination tasks. It has been shown that AWEs learned for the word or phone classification in one or several languages can outperform approaches that use dynamic time warping (DTW). In this paper, a new method of learning AWEs in the DTW framework is proposed. It employs a multitask triplet neural network to generate the AWEs. The triplet network learns acoustic representations of words …

Environmental Engineering Student Earns Scholarship For Air Quality Research, Usu College Of Engineering

College of Engineering News

June 12, 2020 — Utah State University graduate student Motasem Abualqumboz is being recognized by an international organization for his research into Northern Utah’s air quality problems.

Improving The Piezoelectric Properties Of Flexible Polymer-Nanoparticle Energy Harvesters, Muhammet Emin Cavusoglu

Theses and Dissertations

In this research, one of the widely used polymers, poly(vinylidene fluoride)(PVDF), was used to develop thin-film polymer energy harvesters. Dimethylformamide (DMF) and methyl ethyl ketone (MEK) were used to dissolve the PVDF powder. Four different (0%, 3%, 5%, and 7%) ZnO nanoparticle (NP) concentrations were used to enhance the electrical output of the thin-film energy harvesters. A sonication bath and additional MEK were used in dispersing the ZnO NPs to obtained uniform PVDF/ZnO NP solution. The electrode poling technique was used for dipole alignment to improve the electrical performance of the devices. The fabricated samples were tested using the tensile …

Thermal Conductivity Performance Of 2d Hbn/Mos 2/Hybrid Nanostructures Used On Natural And Synthetic Esters, Jaime Taha-Tijerina, Hélio Ribeiro, Karla Aviña, Juan Manuel Martínez, Anna Paula Godoy, Josué Marciano De Oliveira Cremonezzi, Milene Adriane Luciano, Marcos Antônio Gimenes Benega, Ricardo Jorge Espanhol Andrade, Guilhermino José Macedo Fechine

Manufacturing & Industrial Engineering Faculty Publications

In this paper, the thermal conductivity behavior of synthetic and natural esters reinforced with 2D nanostructures-single hexagonal boron nitride (h-BN), single molybdenum disulfide (MoS2), and hybrid h-BN/MOS2-were studied and compared to each other. As a basis for the synthesis of nanofluids, three biodegradable insulating lubricants were used: FR3TM and VG-100 were used as natural esters and MIDEL 7131 as a synthetic ester. Two-dimensional nanosheets of h-BN, MoS2, and their hybrid nanofillers (50/50 ratio percent) were incorporated into matrix lubricants without surfactants or additives. Nanofluids were prepared at 0.01, 0.05, 0.10, 0.15, and 0.25 weight percent of filler fraction. The experimental …

Comprehensive Optimization Models For Voltage Regulation In Pv-Rich Multi-Phase Distribution Systems, Ibrahim Alsaleh

USF Tampa Graduate Theses and Dissertations

The distribution systems are increasingly challenged by the continued prevalence of distributed energy resources (DERs), signaling the need for new computational tools to systemize their involvement, coordinate their operation with existing control devices, and mitigate undesired actuation of expensive equipment. Co-optimized operation of the various control devices becomes possible with the advancement in the power system optimization algorithms and the increased deployment of advanced metering infrastructure, offering system awareness and two-way communication. The steady-state alternating-current optimal power flow (ACOPF) problem, being the most descriptive form of OPF, lies at the root of power system optimization, aiming to minimize an operating …

'Bici-Bomba' Pedal Powered Well Purification System, Matthew Kamimura, Devan Hollar, Ally Belica, Liam Scobey

Mechanical Engineering Senior Theses

This senior design project consists of designing and building a bike powered well pump that purifies water. The Guatemalan NGO Maya Pedal is the critical customer that requested this project, and will help facilitate implementing it in the San Andres community. The project addresses these main needs: providing an easier, faster way to retrieve water and to clean water to safe drinking levels. In addition to these primary needs, a major goal is having the project be scalable within the San Andres community. This means that all of the components are available in Guatemala at reasonable prices, it is durable …

Development Of Water Coning Control Design Metrics In Naturally Fractured Reservoirs, Samir Prasun

LSU Doctoral Dissertations

Naturally fractured reservoirs (NFRs) with bottom-water are known for their instant water breakthrough and severe water coning that reduces oil recovery. This is because water channels through the highly permeable fractures easily connecting the well to the aquifer bypassing the oil contained in the matrix. Remedial techniques such as producing below critical-oil rate, optimizing the well spacing and installing the downhole water sink (DWS)/ downhole water loop (DWL) technology, have already been successfully tested in single-porosity reservoirs (SPR). However, applicability of these techniques in NFRs are unknown since only a few studies have been performed on their feasibility in NFRs, …

Mobile Application To Distribute Water Quality In Rural Nicaragua, Rachael Freitag, Sarah Ortiz-Jones

Computer Science and Engineering Senior Theses

The organization ASDENIC provides the citizens of northern Nicaragua with many resources to help them become more informed farmers and improve the quality of their lives. ASDENIC currently holds weekly meetings to distribute information such as water quality, weather conditions, and other important agricultural updates. However, technological limitations still prevent Nicaraguan farmers from getting updates from ASDENIC in real-time. We have partnered with Santa Clara University’s Frugal Innovation Hub and ASDENIC to create a mobile application to distribute necessary information to communities in rural Nicaragua in realtime.

Our mobile application is a platform for community leaders to share relevant information …

Photo-Realistic Image Synthesis From Text Descriptions, Ryan Cain, Gabriel Kralik, Campbell Munson

Computer Science and Engineering Senior Theses

Deep convolutional generative adversarial networks (DCGANs) have proven capable at generating diverse, photorealistic images of human faces, but it is difficult and often time-consuming to choose what kind of image these generative adversarial networks (GANs) produce. We create a simple, intuitive web application through which users may write a description of a human face in plain text and generate photos that appear to match the given description. In this paper, we show how text can be used to direct the output of a conditional GAN with a DCGAN architecture. While our images did somewhat resemble human faces, they often had …

Smart Quizzes, Andres Cisneros-Munoz, Cole Sanchez

Computer Science and Engineering Senior Theses

Standardized testing, while efficient for testing a large amount of people, is not an effective or holistic method of evaluating test takers. They fail to take into consideration factors such as stress, which can inhibit a student’s ability to perform well on a test. Our goal is to create a framework for creating tests that are dynamic, adaptive assessments, minimize stress levels, and overall improve student performance. This solution will produce in tests that even out the academic playing field while being more informative in their assessments.

Neptune: Marine Robot Rov Control System, Alex Achramowicz, Chris Layco, Cooper Zediker

Computer Science and Engineering Senior Theses

The mysteries of the aquatic world and the dangers human activity poses to its environmental health are important considerations. It is pivotal we find ecient methods to study and monitor the subsea environments in order to maintain and improve their health. This document provides insight into the planning, design, implementation, and testing in developing an enhanced control system for a marine remotely operated vehicle (ROV) to eectively control various mounted hardware components. Our goal for this design is to greatly assist scientists and environmentalists observe and collect subsea data to improve the subsea environment.