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Vision Based Extraction Of Nutrition Information From Skewed Nutrition Labels, Tanwir Zaman May 2016

Vision Based Extraction Of Nutrition Information From Skewed Nutrition Labels, Tanwir Zaman

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Vision-based extraction of nutritional information from nutrition labels (NLs) available on most product packages is critical to proactive nutrition management, because it improves the user’s ability to engage in continuous nutritional data collection and analysis. However, even users who are health conscious find it difficult to keep track of their nutrition intake due to lack of time, motivation, or training. In order to make nutrition management more proactive we present a Proactive NUTrition Management System (PNUTS), which aims to make nutrition management more user friendly and proactive using computer vision techniques running on smartphones which are ubiquitous and powerful computers …


Exploiting Self-Organization In Bioengineered Systems: A Computational Approach, Delin Davis May 2016

Exploiting Self-Organization In Bioengineered Systems: A Computational Approach, Delin Davis

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Bio-reactors, also known as microbial factories are used extensively to produce various industrially valuable products. However, scalability and stability of these factories are limited as it is difficult to deliver nutrients and extract product and waste from a large system. Current solution approaches explore changes in the physical configuration of the bio-reactors. Inspired from the nutrient delivery mechanisms of large organisms in nature, this work studies the possibilities of exploiting self-organizing bio-engineered cells which are capable of organizing into a vessel network to support the producer cells in the factory.

Primary goal of this dissertation is to design a proof-of-concept …


A Vision-Based Bee Counting Algorithm For Electronic Monitoring Of Langsthroth Beehives, Sai Kiran Reka May 2016

A Vision-Based Bee Counting Algorithm For Electronic Monitoring Of Langsthroth Beehives, Sai Kiran Reka

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Forager traffic is the number of bees entering or exiting the bee hive over a given period of time. To estimate forager traffic, beekeepers typically take a stopwatch and count the number of bees manually over a set period of time. Forager traffic is an important health indicator of the hive. Sudden changes in forager traffic levels show that there may be an anomaly inside the hive or in the environment. There have been several attempts to automate the estimation of forager traffic in Langsthroth hives with custombuilt hardware devices. In this thesis, we argue that bee counting can be …


Optimizing The Advanced Metering Infrastructure Architecture In Smart Grid, Alireza Ghasempour May 2016

Optimizing The Advanced Metering Infrastructure Architecture In Smart Grid, Alireza Ghasempour

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The gathered data from smart meters in current advanced metering infrastructure (AMI) of smart grid is huge. This much data causes serious challenges for reliability, performance, and scalability of smart grid. Therefore, we have investigated the scalability of different AMI architectures and proposed a scalable hybrid AMI architecture. We formulated deployment cost of different AMI architecture and used a genetic-based algorithm to minimize the deployment cost for the proposed architecture. We simulated different AMI architectures for five demographic regions and the results proved that our proposed AMI hybrid architecture has a better scalability compared to other AMI architectures.