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Articles 1 - 10 of 10
Full-Text Articles in Computational Engineering
Modernization Of Scienttific Mathematics Formula In Technology, Iwasan D. Kejawa Ed.D, Prof. Iwasan D. Kejawa Ed.D
Modernization Of Scienttific Mathematics Formula In Technology, Iwasan D. Kejawa Ed.D, Prof. Iwasan D. Kejawa Ed.D
Department of Mathematics: Faculty Publications
Abstract
Is it true that we solve problem using techniques in form of formula? Mathematical formulas can be derived through thinking of a problem or situation. Research has shown that we can create formulas by applying theoretical, technical, and applied knowledge. The knowledge derives from brainstorming and actual experience can be represented by formulas. It is intended that this research article is geared by an audience of average knowledge level of solving mathematics and scientific intricacies. This work details an introductory level of simple, at times complex problems in a mathematical epidermis and computability and solvability in a Computer Science. …
Context-Aware Sensing And Fusion For Structural Health Monitoring And Night Time Traffic Surveillance, Xinxiang Zhang
Context-Aware Sensing And Fusion For Structural Health Monitoring And Night Time Traffic Surveillance, Xinxiang Zhang
Electrical Engineering Theses and Dissertations
Rapid developments in computer vision technologies have been transforming many traditional fields in engineering and science in the last few decades, especially in terms of diagnosing problems from visual images. Leveraging computer vision technologies to inspect, monitor, assess infrastructure conditions, and analyze traffic dynamics, has gained significant increase in both effectiveness and efficiency, compared to the cost of traditional instrumentation arrays to monitor, and manually inspect civil infrastructures and traffic conditions. Therefore, to construct the next-generation intelligent civil and transportation infrastructures, this dissertation develops a comprehensive computer-vision based sensing and fusion framework for structural health monitoring and intelligent transportation systems. …
Expanding Image Datasets For Deep Learning By Evaluating Independence Through Coefficient Correlation And Mean-Squared Error, Ayman Yousef
Expanding Image Datasets For Deep Learning By Evaluating Independence Through Coefficient Correlation And Mean-Squared Error, Ayman Yousef
Biomedical Engineering Undergraduate Honors Theses
With deep learning being leveraged more regularly in the field of image classification, particularly in medical imaging, network optimizations have become a field in and of itself. With open source, comprehensive medical image datasets few and far, computational dataset expansion has become a useful tool for researchers without the ability to further manually collect data. However, with the rich amount of data that imaging modalities like multi-photon microscopy collect at a time, there is potential to expand datasets through proper utilization of this data that often time goes unused. Previous deep learning studies have shown that improper expansion can conflate …
Generalized Relay Network Design And Collaborative Dispatching In Truckload Transportation, Amin Ziaeifar
Generalized Relay Network Design And Collaborative Dispatching In Truckload Transportation, Amin Ziaeifar
Operations Research and Engineering Management Theses and Dissertations
The truckload industry faces a serious problem of high driver shortage and turnover rate which is typically around 100\%. Among the major causes of this problem are extended on-the-road times where drivers handle several truckload pickup and deliveries successively; non-regular schedules and get-home rates; and low utilization of drivers dedicated time. These are by-and-large consequences of the driver-to-load dispatching method, which is based on point-to-point dispatching or direct shipment from origin-to-destination, commonly employed in the industry. In this dissertation, we consider an alternative dispatching method that necessitates careful design of an underlying network. In this scheme, a truckload on its …
An Efficient Framework For The Stochastic Verification Of Computation And Communication Systems Using Emerging Technologies, Zhen Zhang
Funded Research Records
No abstract provided.
Space Defense: Creating A 2d Game With 3d Assets Using Unity Game Engine, Jeevan Vase
Space Defense: Creating A 2d Game With 3d Assets Using Unity Game Engine, Jeevan Vase
Computer Science and Software Engineering
The goal of this senior project was to learn and use the skills necessary for one person to make a complete game. The 3D assets that were used were downloaded from the Unity Store. I used Unity Game Engine to create the logic for the game. This document explains the technologies that I used, design choices I made, feedback from player-testing, and work that I want to complete for the project in the future. The final game demo features three levels, a start screen, and a combat system that allows players to gain additional ships to help defend their planet.
Drughelp.Care – A Web Application For The Discovery Of Drug Addiction Treatment Facilities, Sachin Hiriyanna
Drughelp.Care – A Web Application For The Discovery Of Drug Addiction Treatment Facilities, Sachin Hiriyanna
ETD Archive
One of the current and biggest problems in the system of emergency care for the drug overdose epidemic, is the failure of information delivery on nearby treatment facilities. Even though some initiatives on the internet tried to solve this issue, they either failed in delivering the information or in providing ease of usability. This thesis research aims to develop a web application which, 1. Delivers a highly accurate, easy-to-understand and targeted information in a timely manner for drug abusers and their well-wishers. 2. Provides an eco-system for the treatment facilities with an easy-to-use backend to constantly update their complex information …
Automatic Generation And Grading Of Programming Exercises, Andrew Dufrene
Automatic Generation And Grading Of Programming Exercises, Andrew Dufrene
Computer Science and Software Engineering
In our current age of technological advances, and rising education costs, it is becoming increasingly beneficial to use technology to aid in education, usually through automated lectures or grading. One missing feature from this automated education is complex grading and problem generation. The main objective of this project is to create a program that can automatically generate and grade problems of varying difficulties based on the topic of programming for loops. The project solution was created as a program designed for use in Dr. Clinton Staley’s Intelligent Homework System, which is used precisely for automated exercise grading and generation. Ultimately, …
Evaluation Of Tcp Header Fields For Data Overhead Efficiency, Justin K. Yirka
Evaluation Of Tcp Header Fields For Data Overhead Efficiency, Justin K. Yirka
Undergraduate Research Posters
Bandwidth across the internet is constricted by monetary factors and hardware development, so researchers are left to improve the efficiency of data transmitted in order to improve internet speeds. The transmission control protocol (TCP) is the primary transport protocol on the modern internet, ensuring reliable delivery of the majority of data transmitted. I evaluated the TCP header fields for efficient use of data overhead so as to determine current waste and to suggest possible areas for revision. I examined original specifications for TCP mechanisms, comparing them to modern implementations as determined by updated standards and modern practices in the networking …
Towards The Prediction Of Mutations In Genomic Sequences, Juan Carlos Martinez
Towards The Prediction Of Mutations In Genomic Sequences, Juan Carlos Martinez
FIU Electronic Theses and Dissertations
Bio-systems are inherently complex information processing systems. Furthermore, physiological complexities of biological systems limit the formation of a hypothesis in terms of behavior and the ability to test hypothesis. More importantly the identification and classification of mutation in patients are centric topics in today’s cancer research.
Next generation sequencing (NGS) technologies can provide genome-wide coverage at a single nucleotide resolution and at reasonable speed and cost. The unprecedented molecular characterization provided by NGS offers the potential for an individualized approach to treatment. These advances in cancer genomics have enabled scientists to interrogate cancer-specific genomic variants and compare them with the …