Browsing School of Computing and Engineering (UMKC) by Thesis Semester "2017 Summer"
Now showing items 1-11 of 11
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Addressing On-Chip Power Conversion and Dissipation Issues in Many-Core System-on-a-Chip based on Conventional Silicon and Emerging Nanotechnologies
(University of Missouri -- Kansas City, 2017)Integrated circuits (ICs) are moving towards system-on-a-chip (SOC) designs. SOC allows various small and large electronic systems to be implemented in a single chip. This approach enables the miniaturization of design ... -
Application-Aware Network Design Using Software Defined Networking for Application Performance Optimization for Big Data and Video Streaming
(University of Missouri--Kansas City, 2017)This dissertation investigates improvement in application performance. For applications, we consider two classes: Hadoop MapReduce and video streaming. The Hadoop MapReduce (M/R) framework has become the de facto standard ... -
Blast Analysis of a Bridge with AASHTO Type VI Girders Using CSI Bridge
(University of Missouri--Kansas City, 2017)Protection of bridges from blast load due to terrorist attacks or accidental explosions is necessary. For this we require to study the performance of a bridge when blast loads are applied above the deck slab. The ... -
A Characteristic Mode Analysis of Conductive Nanowires and Microwires Above a Lossy Dielectric Half-Space
(University of Missouri--Kansas City, 2017)Nanowires possess extraordinary mechanical, thermoelectric and electromagnetic properties which led to their incorporation in a wide variety of applications. The purpose of this study is to investigate the effect of ... -
A Data Science Approach to Extracting Insights About Cities and Zones Using Open Government Data
(University of Missouri--Kansas City, 2017)In this research, we introduce a system that utilizes open government data and machine learning algorithms to extract meaningful insights about cities and zones in the United States. It is estimated that 4% of the ... -
DL-DI: A Deep Learning Framework for Distributed, Incremental Image Classification
(University of Missouri--Kansas City, 2017)Deep Learning technologies show promise for dramatic advances in fields such as image classification and speech recognition. Deep Learning (DL) is a class of Machine Learning algorithms that involves learning of multiple ... -
Hybrid Fuzzy-Bayesian Dynamic Decision Support Tool for Resource-Based Scheduling of Construction Projects
(University of Missouri--Kansas City, 2017)This dissertation proposes a flexible and intelligent decision support tool for scheduling and resource allocation of construction projects. A hybrid Fuzzy-Bayesian scheduling network and a new optimization model and ... -
Mitigation of Remanence Flux in Power Transformers using Predetermined Method of De-Energization
(University of Missouri--Kansas City, 2017)Energization of large power transformers are subject to many transients that may complicate the successful completion of this process and ultimately reduce the expected life of these critical components. The first-time ... -
Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling
(University of Missouri--Kansas City, 2017)Robust content identification and de-duplication of video content in networks and caches have many important applications in content delivery networks. In this work, we propose a scalable hashing scheme based Fisher ... -
Smart City Open Data Network System: Openness, Security, and Privacy
(University of Missouri--Kansas City, 2017)The increasing concentration of population around the cities poses challenges in their operation and services. On the other hand, the current technological revolution allows scalable and innovative means to better serve ... -
Understanding and Adapting to Crowd Behavior: A Study of Wireless Networks and Entrepreneurial Crowdfunding
(University of Missouri -- Kansas City, 2017)The advances of the future will demand scholars have a systemic vision to solve problems. Integration across disciplines is needed to study, explain, inquire and discover beyond the traditional borders of academic areas. ...