Open Access. Powered by Scholars. Published by Universities.®

Other Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

1,192 Full-Text Articles 1,858 Authors 732,557 Downloads 128 Institutions

All Articles in Other Computer Engineering

Faceted Search

1,192 full-text articles. Page 2 of 54.

An Empirical Analysis Of Cluster-Based Routing Protocols In Wireless Sensor Network, S K Jawed Alli, Sudhir Kumar Senapati 2022 CIME, Bhubaneswar

An Empirical Analysis Of Cluster-Based Routing Protocols In Wireless Sensor Network, S K Jawed Alli, Sudhir Kumar Senapati

International Journal of Smart Sensor and Adhoc Network

Wireless Sensor Networks (WSNs) are utilized for condition monitoring, developing the board, following animals or goods, social protection, transportation, and house frameworks. WSNs are revolutionizing research. A WSN includes a large number of sensor nodes, or bits, in the application. Bits outfitted with the application's sensors acquire nature data and send it to at least one sink center (in like manner called base stations). This article simulates energy-efficient network initialization strategies using simulation models. First, an overview of network initiation and exploration procedures in wireless ad-hoc networks is provided. The clustering-based routing strategy was selected since it's best for ad-hoc …


Deception Detection Across Domains, Languages And Modalities, Subhadarshi Panda 2022 The Graduate Center, City University of New York

Deception Detection Across Domains, Languages And Modalities, Subhadarshi Panda

Dissertations, Theses, and Capstone Projects

With the increase of deception and misinformation especially in social media, it has become crucial to develop machine learning methods to automatically identify deception. In this dissertation, we identify key challenges underlying text-based deception detection in a cross-domain setting, where we do not have training data in the target domain. We analyze the differences between domains and as a result develop methods to improve cross-domain deception detection. We additionally develop approaches that take advantage of cross-lingual properties to support deception detection across languages. This involves the usage of either multilingual NLP models or translation models. Finally, to better understand multi-modal …


Anonymization & Generation Of Network Packet Datasets Using Deep Learning, Spencer K. Vecile 2022 The University of Western Ontario

Anonymization & Generation Of Network Packet Datasets Using Deep Learning, Spencer K. Vecile

Electronic Thesis and Dissertation Repository

Corporate networks are constantly bombarded by malicious actors trying to gain access. The current state of the art in protecting networks is deep learning-based intrusion detection systems (IDS). However, for an IDS to be effective it needs to be trained on a good dataset. The best datasets for training an IDS are real data captured from large corporate networks. Unfortunately, companies cannot release their network data due to privacy concerns creating a lack of public cybersecurity data. In this thesis I take a novel approach to network dataset anonymization using character-level LSTM models to learn the characteristics of a dataset; …


Internet Of Things Brings Revolution In Ehealth: Achievements And Challenges, Ibanga Kpereobong Friday, Debasish Swapnesh Kumar Nayak, Sashikanta Prusty 2022 School of Computing and Engineering Sciences, Babcock University, Ilishan-Remo, Ogun, Nigeria-121003

Internet Of Things Brings Revolution In Ehealth: Achievements And Challenges, Ibanga Kpereobong Friday, Debasish Swapnesh Kumar Nayak, Sashikanta Prusty

International Journal of Smart Sensor and Adhoc Network

The medical field has benefited greatly from the technological revolution around our world, as well as the introduction of artificial intelligence (AI) and the Internet of Things (IoT). IoT aims to make life easier and more convenient by bridging the various gaps in connecting various devices that people employ. A wide range of applications and technologies, including wearable device development, advanced care services, personalized care packages, and remote patient monitoring, benefit healthcare professionals and patients. These technologies gave rise to new terms such as the Internet of Medical Things (IoMT), the Internet of Health Things (IoHT), e-Health, and telemedicine. With …


Automated Identification Of Astronauts On Board The International Space Station: A Case Study In Space Archaeology, Rao Hamza Ali, Amir Kanan Kashefi, Alice C. Gorman, Justin St. P. Walsh, Erik J. Linstead 2022 Chapman University

Automated Identification Of Astronauts On Board The International Space Station: A Case Study In Space Archaeology, Rao Hamza Ali, Amir Kanan Kashefi, Alice C. Gorman, Justin St. P. Walsh, Erik J. Linstead

Art Faculty Articles and Research

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy, including photographs where crew faces are partially obscured. Using the results of our pipeline, we carry out a large-scale network analysis of the crew, using the imagery data to provide novel insights into the social interactions among crew during their missions.


Educación Transmoderna Y Translocal Desde El Medit. Visión De La Facultad De Ingeniería, Jairo Eduardo Marquez, Arles Prieto Moreno, Misael Fernando Perilla Benítez, Diana Pilar Quitian Bernal, Dayana Catalina Medina Sandoval, José Manuel Higuera Aparicio 2022 Universidad de Cundinamarca

Educación Transmoderna Y Translocal Desde El Medit. Visión De La Facultad De Ingeniería, Jairo Eduardo Marquez, Arles Prieto Moreno, Misael Fernando Perilla Benítez, Diana Pilar Quitian Bernal, Dayana Catalina Medina Sandoval, José Manuel Higuera Aparicio

Ingeniería

La Universidad de Cundinamarca dentro de su quehacer académico e investigativo, busca cambiar el paradigma de la educación superior tradicional a través del Modelo Educativo Digital Transmoderno (MEDIT); el cual está acompañado por diversos elementos que contribuyen a una formación integral del educando, viéndolo como una persona para la vida, inculcando valores democráticos, civilidad y libertad, conjugados con lo que se ha llegado a denominar como campos multidimensionales de aprendizaje; que permiten vislumbrar un sinnúmero de posibilidades formativas para una educación contemporánea vista desde la traslocalidad y transmodernidad. Bajo esta mirada, el presente libro muestra los resultados de la colaboración …


A Digital Healthcare Application For Patient Monitoring And Assessment, Brandon Shumin 2022 Clemson University

A Digital Healthcare Application For Patient Monitoring And Assessment, Brandon Shumin

All Theses

The COVID-19 pandemic strained our healthcare resources and exacerbated the existing issues of primary care shortages and burnout rates for healthcare professionals. Due in part to these factors, telehealth has seen more wide-spread use during this time. However, current asynchronous telehealth applications require stable Internet to function fully. Since many medically underserved populations in the United States lack Internet access in their homes, an application that offers patient monitoring and assessment could extend their access to medical resources. This work proposes such a digital healthcare application for iOS devices and evaluates it based on the system requirements of availability, data …


Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors And Machine Learning Algorithms, Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler 2022 Chapman University

Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors And Machine Learning Algorithms, Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler

Physical Therapy Faculty Articles and Research

Idiopathic toe walking (ITW) is a gait abnormality in which children’s toes touch at initial contact and demonstrate limited or no heel contact throughout the gait cycle. Toe walking results in poor balance, increased risk of falling, and developmental delays among children. Identifying toe walking steps during walking can facilitate targeted intervention among children diagnosed with ITW. With recent advances in wearable sensing, communication technologies, and machine learning, new avenues of managing toe walking behavior among children are feasible. In this study, we investigate the capabilities of Machine Learning (ML) algorithms in identifying initial foot contact (heel strike versus toe …


Addressing The "Leaky Pipeline": A Review And Categorisation Of Actions To Recruit And Retain Women In Computing Education, Alina Berry, Susan McKeever, Brenda Murphy, Sarah Jane Delany 2022 Technological University Dublin

Addressing The "Leaky Pipeline": A Review And Categorisation Of Actions To Recruit And Retain Women In Computing Education, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany

Conference papers

Gender imbalance in computing education is a well-known issue around the world. For example, in the UK and Ireland, less than 20% of the student population in computer science, ICT and related disciplines are women. Similar figures are seen in the labour force in the field across the EU. The term "leaky pipeline"; is often used to describe the lack of retention of women before they progress to senior roles. Numerous initiatives have targeted the problem of the leaky pipeline in recent decades. This paper provides a comprehensive review of initiatives related to techniques used to boost recruitment and improve …


Credit Card Fraud Detection Using Machine Learning Techniques, Nermin Samy Elhusseny, shimaa mohamed ouf, Amira M. Idrees AMI 2022 BIS Helwan University

Credit Card Fraud Detection Using Machine Learning Techniques, Nermin Samy Elhusseny, Shimaa Mohamed Ouf, Amira M. Idrees Ami

Future Computing and Informatics Journal

This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily. The globe has just begun to shift toward financial inclusion, with marginalized people being introduced to the financial sector. As a result of the high volume of e-commerce, there has been a significant increase in credit card fraud. One of the most important parts of today's banking sector is fraud detection. Fraud is one of the most serious concerns in terms of monetary …


Digital Forensics Range, Cody P. Shanahan, Bryson Y. Shishido, Samuel R. McKee, Justin Siu, Lisa Li, Maxwell Brewer 2022 California Polytechnic State University, San Luis Obispo

Digital Forensics Range, Cody P. Shanahan, Bryson Y. Shishido, Samuel R. Mckee, Justin Siu, Lisa Li, Maxwell Brewer

Computer Engineering

The Digital Forensics Range was developed to serve as an online training for groups interested in computer forensics. This year's team had the goal to expand upon last year, by adding a new forensics image, unity scenario, and additional AWS functionality. The team still wanted to continue with last year's goals of keeping the training easily runnable, quickly deployable, and rapidly scalable through the use of the cloud. Adding to last year's work, this year's team hoped to further increase the educational value of the simulation with more practice, and the addition of feedback. The training is meant to be …


Smartphone Control Of Rc Cars, Weston R. Fitzgerald 2022 California Polytechnic State University, San Luis Obispo

Smartphone Control Of Rc Cars, Weston R. Fitzgerald

Electrical Engineering

The smartphone-controlled RC (remote-controlled) car is an inexpensive remote-controlled car designed to be fast and portable. Instead of manufacturing, packaging, and shipping a separate controller, the remote control is implemented in a phone application, which saves time and money in both the design process and the manufacturing process. Utilizing the user’s smartphone is more cost-effective since mobile devices are a common recurrence, and packaging fewer devices results in overall better portability of the product.

This smartphone-controlled car is speedy and intuitive to learn for typical smartphone users. The user can change the car’s speed and direction wirelessly using their phone; …


Improving Relation Extraction From Unstructured Genealogical Texts Using Fine-Tuned Transformers, Carloangello Parrolivelli 2022 California Polytechnic State University, San Luis Obispo

Improving Relation Extraction From Unstructured Genealogical Texts Using Fine-Tuned Transformers, Carloangello Parrolivelli

Master's Theses

Though exploring one’s family lineage through genealogical family trees can be insightful to developing one’s identity, this knowledge is typically held behind closed doors by private companies or require expensive technologies, such as DNA testing, to uncover. With the ever-booming explosion of data on the world wide web, many unstructured text documents, both old and new, are being discovered, written, and processed which contain rich genealogical information. With access to this immense amount of data, however, entails a costly process whereby people, typically volunteers, have to read large amounts of text to find relationships between people. This delays having genealogical …


A Machine Learning Approach To Predicting The Onset Of Type Ii Diabetes In A Sample Of Pima Indian Women, Meriem Benarbia 2022 The Graduate Center, City University of New York

A Machine Learning Approach To Predicting The Onset Of Type Ii Diabetes In A Sample Of Pima Indian Women, Meriem Benarbia

Dissertations, Theses, and Capstone Projects

Type II diabetes is a disease that affects how the body regulates and uses sugar (glucose) as a fuel. This chronic disease results in too much sugar circulating in the bloodstream. High blood sugar levels can lead to circulatory, nervous, and immune systems disorders. Machine learning (ML) techniques have proven their strength in diabetes diagnosis. In this paper, we aimed to contribute to the literature on the use of ML methods by examining the value of a number of supervised machine learning algorithms such as logistic regression, decision tree classifiers, random forest classifiers, and support vector classifiers to identify factors …


Happiness And Policy Implications: A Sociological View, Sarah M. Kahl 2022 The Graduate Center, City University of New York

Happiness And Policy Implications: A Sociological View, Sarah M. Kahl

Dissertations, Theses, and Capstone Projects

The World Happiness Report is released every year, ranking each country by who is “happier” and explaining the variables and data they have used. This project attempts to build from that base and create a machine learning algorithm that can predict if a country will be in a “happy” or “could be happier” category. Findings show that taking a broader scope of variables can better help predict happiness. Policy implications are discussed in using both big data and considering social indicators to make better and lasting policies.


Project Metamorphosis: Designing A Dynamic Framework For Converting Musical Compositions Into Paintings, Rao Hamza Ali, Grace Fong, Erik Linstead 2022 Chapman University

Project Metamorphosis: Designing A Dynamic Framework For Converting Musical Compositions Into Paintings, Rao Hamza Ali, Grace Fong, Erik Linstead

Engineering Faculty Articles and Research

The authors present an automated, rule-based system for converting piano compositions into paintings. Using a color-note association scale presented by Edward Maryon in 1919, which correlates 12-tone scale with 12 hues of the color circle, the authors present a simple approach for extracting colors associated with each note played in a piano composition. The authors also describe the color extraction and art generation process in detail, as well as the process for creating “moving art,” which imitates the progression of a musical piece in real time. They share and discuss artworks generated for four well-known piano compositions.


Blockchain Storage – Drive Configurations And Performance Analysis, Jesse Garner, Aditya A. Syal, Ronald C. Jones 2022 Harrisburg University of Science and Technology

Blockchain Storage – Drive Configurations And Performance Analysis, Jesse Garner, Aditya A. Syal, Ronald C. Jones

Other Student Works

This project will analyze the results of trials implementing various storage methods on Geth nodes to synchronize and maintain a full-archive state of the Ethereum blockchain. The purpose of these trials is to gain deeper insight to the process of lowering cost and increasing efficiency of blockchain storage using available technologies, analyzing results of various storage drives under similar conditions. It provides performance analysis and describes performance of each trial in relation to the others.


Classification Of Internet Advertisement, Biswajit Biswal, Banasmita Subhadarshini, Sasmita Jena, Binita Kumari 2022 Department of Computer Application, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India

Classification Of Internet Advertisement, Biswajit Biswal, Banasmita Subhadarshini, Sasmita Jena, Binita Kumari

Graduate Research in Engineering and Technology (GRET)

The investigation of web ad is vital now daily in human existence. Commercial and their connected regions are economy concern business has become an outstanding field in the wide spread region. Publicizing area are producing part of data and information which help to comprehend and should be examination, propositions information are should change over into significant information. To utilize these clients' data, settle on future choice and accomplish powerful choices, these choices help to comprehend client's need and utilization of the labour and products. Utilize client's information and carry out information mining strategies to get familiar with clients' examples and …


Personal Library Organization And Tracking Application (Plot), Katie Honsinger 2022 Seattle Pacific University

Personal Library Organization And Tracking Application (Plot), Katie Honsinger

Honors Projects

This project is inspired by my family's gloriously unmanageable book collection. Its primary goal is to provide a simple way to track your book collection, to avoid double-buying and help disorganized book-lovers everywhere stay sane! You can also track where a particular book is physically (or at least, where it should be!). There are a few features I'd still like to implement, but mainly I want this app to stay simple so it is easy to use and maintain.


Evaluation Of Selected Computer Software For Concussion Recovery And Diagnosis, J.P. Jensen 2022 University of Nebraska - Lincoln

Evaluation Of Selected Computer Software For Concussion Recovery And Diagnosis, J.P. Jensen

Honors Theses, University of Nebraska-Lincoln

Acquired traumatic brain injuries, such as concussions, impact many athletes participating in sports, particularly at the high school, collegiate, and professional levels. The risks posed by concussions – particularly when an athlete suffers repeated injuries – demands that protocols and tools be developed to maximize athlete health and safety. Computer technology can perform critical roles in the analysis and management of concussions. While specialized devices in the areas of imaging and impact sensing, are most associated with concussion management, researchers within the last two decades have increasingly explored the incorporation of various consumer technologies into the identification and treatment of …


Digital Commons powered by bepress