Other Computer Engineering Commons^™

College Cloud: Web Development With A Django Stack And Google Cloud, Evan Joseph Hench

Computer Science and Software Engineering

Students at Cal Poly run into two main problems involving clubs: efficiency of communication and the ability to find clubs that interest them. Currently, members of clubs communicate in four main ways: Facebook, GroupMe, text message, and email. As a result, it is fairly easy for things to become disorganized from all the different types of communication. Group members are forced to check multiple communication outlets just to stay updated, wasting their time. In addition, finding clubs at Cal Poly is not easy. The annual club fair helps interested students to some degree, but with hundreds of clubs on campus …

Android Mobile Application For Hospital Executives, Vihitha Nalagatla

Electronic Theses, Projects, and Dissertations

Hospitals are the largest and most complex organizations where health care is provided. Safe and effective patient care services in hospitals depend on the efficient decisions made by hospital executives. The main task of hospital executives is to ensure the hospital can provide high quality patient care and services. “Android Mobile Application For Hospital Executives” is an Android application used for displaying hospital performance metrics on a daily basis. This application allows hospital executives to review and monitor hospital operational data with ease of access and in a portable manner. Thus, reducing the effort of the hospital executives to perform …

Distinguished Alumni Luncheon With Dr. Wayne A. Brown, Nova Southeastern University

College of Computing and Engineering News Archive

Last week on November 9th, 2017, Dr. Tao and Dr. Abramson had the pleasure of honoring CCE's distinguished alumni Dr. Wayne A. Brown as part of the NSU's Homecoming festivities.

Robert B. Batie Jr., Ph.D., Nova Southeastern University

College of Computing and Engineering News Archive

It’s a safe bet to say that Robert B. Batie Jr., Ph.D., has seen a thing or two. Given his 22 years in the U.S. Army, it’s pretty clear to understand why. That’s because in those 2+ decades he traveled to 33 foreign countries, 41 of the 50 states and visited every continent aside from Antarctica and Australia. And it was his chosen occupation while serving in the U.S. Army – Signal Corp as a Communications Security (COMSEC) Maintenance Chief – that led him to where he is today.

Cce Hosts Shbe Workshop, Nova Southeastern University

College of Computing and Engineering News Archive

Dr. Yong Tao, Dean and Professor, College of Computing and Engineering hosted the Interdisciplinary Data Structure for Collaborative Research in Sustainable Human-Building Ecosystems (SHBE) Workshop on June 5-6 at NSU Art Museum with the support from Bonnie Clearwater, Director and Chief Curator of NSU Art Museum. The workshop was aimed at bringing together professionals from multiple disciplines, i.e., architects, civil engineers, electrical engineers, mechanical engineers, computer scientists, social scientists, psychologists, and social/ public policy experts.

Cec Congratulates 2017 Dean's List, Nova Southeastern University

College of Computing and Engineering News Archive

College of Computing and Engineering at NSU (CCE) held its Fall 2017 Dean’s List reception on April 25. 18 undergraduate students major in computer science, computer engineering, information technology and engineering are on the 2017 Dean’s List and have achieved a minimum GPA of 3.8 for the semester. They are: Franco Criscola, Christopher Daniels, Maximiliano Hernandez, Liana Huynh, Abraham Kohn, Brogan O’Connor, Sagar Patel, Liam White, Karen Rita Ann D’Lima, Ashli Amoy Jarrett, Anthony DiFede, Corey Lee, Nicole Staley, Simon Wang, Lydia Warshaw, Albert Baldoni, Henry Koenig, Nikolas Kevorkian.

Automatic Power Management For Instructional Computers At Humboldt State University: A Calculation Of Potential Energy Savings And Greenhouse Gas Emissions Reductions, Nicholas F. Flenghi

Projects

Computers consume an estimated 5,610 GWh per year in California alone. Much of that energy is consumed by computers that are not being used. In this project, detailed user login data are used to estimate the energy consumption of instructional computers at Humboldt State University (HSU) over the course of one semester. The data are also used to estimate the potential energy savings from automating the shutdown process. Potential cost savings and greenhouse gas (GHG) emissions reductions resulting from implementing an automatic-shutdown power management plan are also calculated.

There are approximately 1,000 computers used for teaching and learning purposes at …

Features Of Agent-Based Models, Reiko Heckel, Alexander Kurz, Edmund Chattoe-Brown

Engineering Faculty Articles and Research

The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their scope. In order for the inclusion of features such as network structure, location, or dynamic change to be justified, their role in a model should be systematically analysed. We propose a mechanism to compare and assess the impact of such features. In particular we are using techniques from software engineering and semantics to support the development and assessment of ABMs, such as graph transformations as semantic representations for agent-based models, feature diagrams to identify ingredients under consideration, and extension relations between graph transformation systems to …

Performance Comparison Of Binarized Neural Network With Convolutional Neural Network, Lopamudra Baruah

Dissertations, Master's Theses and Master's Reports

Deep learning is a trending topic widely studied by researchers due to increase in the abundance of data and getting meaningful results with them. Convolutional Neural Networks (CNN) is one of the most popular architectures used in deep learning. Binarized Neural Network (BNN) is also a neural network which consists of binary weights and activations. Neural Networks has large number of parameters and overfitting is a common problem to these networks. To overcome the overfitting problem, dropout is a solution. Randomly dropping some neurons along with its connections helps to prevent co-adaptations which finally help in reducing overfitting. Many researchers …

Autonomous Driving Platform Performance Analysis, Charles R. Rickarby

Honors Theses and Capstones

Through data analysis of various plots and figures it will be possible to determine the best control parameters to get the best performance out of the autonomous driving platform. This data, presented in this thesis, will show quantitatively what the best control strategies are through comparison of different versions of the platform.

An Empirical Investigation Of Collaborative Web Search Tool On Novice's Query Behavior, Mareh Fakhir Al-Sammarraie

UNF Graduate Theses and Dissertations

In the past decade, research efforts dedicated to studying the process of collaborative web search have been on the rise. Yet, a limited number of studies have examined the impact of collaborative information search processes on novices’ query behaviors. Studying and analyzing factors that influence web search behaviors, specifically users’ patterns of queries when using collaborative search systems can help with making query suggestions for group users. Improvements in user query behaviors and system query suggestions help in reducing search time and increasing query success rates for novices.

This thesis investigates the influence of collaboration between experts and novices as …

A Lattice Theoretic Look: A Negated Approach To Adjectival (Intersective, Neutrosophic And Private) Phrases, Florentin Smarandache, Selcuk Topal

Branch Mathematics and Statistics Faculty and Staff Publications

No abstract provided.

Computation Of Shortest Path Problem In A Network With Sv-Triangular Neutrosophic Numbers, Florentin Smarandache, Said Broumi, Assia Bakali, Mohamed Talea

Branch Mathematics and Statistics Faculty and Staff Publications

In this article, we present an algorithm method for finding the shortest path length between a paired nodes on a network where the edge weights are characterized by single valued triangular neutrosophic numbers. The proposed algorithm gives the shortest shortest path length from source node to destination node based on a ranking method. Finally, a numerical example is also presented to illustrate the efficiency of the proposed approach.

An Operational View In Computational Construction Of Information, Florentin Smarandache, Stefan Vladutescu, Constantin Dima, Valeriu Voinea

Branch Mathematics and Statistics Faculty and Staff Publications

The paper aims to explain the technology of emergence of information. Our research proves that information as communicational product is the result of processing within some operations, actions, mechanisms and strategies of informational material meanings. Are determined eight computational-communicative operations of building information. Information occurs in two communication phases, syncretic and the segregation-synthetic. The syncretic phase consists of four operations: referral of significant field, primary delimitation of information, detection-looking information and an anticipative-draft constitution (feedforward). The segregation-synthetic phase also includes four operations: discrimination, identification, interpretation and confrontation (feedback). In the future we will investigate informational actions, mechanisms and strategies.

Design Automation For Carbon Nanotube Circuits Considering Performance And Security Optimization, Lin Liu

Dissertations, Master's Theses and Master's Reports

As prevailing copper interconnect technology advances to its fundamental physical limit, interconnect delay due to ever-increasing wire resistivity has greatly limited the circuit miniaturization. Carbon nanotube (CNT) interconnects have emerged as promising replacement materials for copper interconnects due to their superior conductivity. Buffer insertion for CNT interconnects is capable of improving circuit timing of signal nets with limited buffer deployment. However, due to the imperfection of fabricating long straight CNT, there exist significant unidimensional-spatially correlated variations on the critical CNT geometric parameters such as the diameter and density, which will affect the circuit performance.

This dissertation develops a novel timing …

Low-Cost Open-Source Gmaw-Based Metal 3-D Printing: Monitoring, Slicer, Optimization, And Applications, Yuenyong Nilsiam

Dissertations, Master's Theses and Master's Reports

Low-cost and open-source gas metal arc welding (GMAW)-based 3-D printing has been demonstrated yet the electrical design and software was not developed enough to enable wide-spread adoption. This thesis provides three novel technical improvements based on the application of mechatronic and software theory that when combined demonstrate the ability for distributed digital manufacturing at the small and medium enterprise scale of steel and aluminum parts. First, low cost metal inert gas welders contain no power monitoring needed to tune GMAW 3-D printers. To obtain this data about power and energy usage during the printing, an integrated monitoring system was developed …

Gymfo: A Gym Finding Ios App Using Google Maps Api, Clay A. Wyers

Williams Honors College, Honors Research Projects

This project explores iOS mobile app development. I developed a gym finding app in Swift, using Google Maps APIs,and called it Gymfo. Other technologies were studied as well, including the cloud computing service Microsoft Azure. Through this project I learned the basics of XCode and Swift, Google APIs, and sending and receiving HTTP requests. The final product is an iOS app that allows users to search for nearby gyms and displays the results on an interactive map.

Brief Study Of Classification Algorithms In Machine Learning, Ramesh Sankara Subbu

Dissertations and Theses

The purpose of this study is to briefly learn the theory and implementation of three most commonly used Machine Learning algorithms: k-Nearest Neighbors (kNN), Decision Trees and Naïve Bayes. All these algorithms fall under the Classification algorithm category of Unsupervised Machine Learning. This paper is constructed structurally in explaining the working theory behind each algorithm and an implementation of a Machine Learning problem solved by each algorithm. KNN algorithm is designed using Euclidean distance measurement and Decision Trees make use of ID3 algorithm as a basis. We conclude the study by providing an overall picture of its strengths and weaknesses …

Generating A Normalized Database Using Class Normalization, Daniel Sushil Sudhindaran

UNF Graduate Theses and Dissertations

Relational databases are the most popular databases used by enterprise applications to store persistent data to this day. It gives a lot of flexibility and efficiency. A process called database normalization helps make sure that the database is free from redundancies and update anomalies. In a Database-First approach to software development, the database is designed first, and then an Object-Relational Mapping (ORM) tool is used to generate the programming classes (data layer) to interact with the database. Finally, the business logic code is written to interact with the data layer to persist the business data to the database. However, in …

An Algorithm For Reconstructing Three-Dimensional Images From Overlapping Two-Dimensional Intensity Measurements With Relaxed Camera Positioning Requirements, With Application To Additive Manufacturing, Siranee Nuchitprasitchai

Dissertations, Master's Theses and Master's Reports

Cameras are everywhere for security purposes and there are often many cameras installed close to each other to cover areas of interest, such as airport passenger terminals. These systems are often designed to have overlapping fields of view to provide different aspects of the scene to review when, for example, law enforcement issues arise. However, these cameras are rarely, if ever positioned in a way that would be conducive to conventional stereo image processing. To address this, issue an algorithm was developed to rectify images measured under such conditions, and then perform stereo image reconstruction. The initial experiments described here …