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2020
(2020-09-06)This journal entry is about how my 2020 was affected by the pandemic and how everything changed. -
2020 Was A S*** Show
(2020-11-27)2020 has been a rough year, for everyone that has hopefully lived through this year. To many truly despairing moments, and that takes a toll on the mental. I decided to put my feelings of what I went through, and many ... -
2020, America Revealed
(2020-12-10)The 2020 pandemic hit and a lot of things changed and thousands of people were against guidelines and mandates, turning a blind eye to something very serious. I was inspired to create a print for depicting America and ... -
2020: The Year We Stood Still
(2020-08-28)A personal narrative depicting the struggles that came with this year of 2020 but also the victories that flourished from it. -
3-D biocompatible microneedle arrays with nanoporous surface
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)During the past few years, developing painless needles or patches to replace traditional hypodermic needles has been investigated. Since micromachining can be used to construct a high density metallic micropillar array, ... -
3D printing with reusable voxels : a faster and greener future
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)Many of the applications in the 3D printing market have been for manufacturing prototypes in an inexpensive and relatively fast manner. Today, 3D printers make this possible by no longer having to use third party manufacturers. ... -
A 3D Printed Linear Pneumatic Actuator for Position, Force and Impedance Control
(5/24/2018)Although 3D printing has the potential to provide greater customization and to reduce the costs of creating actuators for industrial applications, the 3D printing of actuators is still a relatively new concept. We have ... -
A Bayesian network based decision support system
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)In this highly dynamic environment, data and information are rapidly changing in time. For a decision support system, to capture continuum data and then to extract knowledge from data is in high demand. Our research work ... -
A Computational Approach to Explore the Interaction of Semisynthetic Nitrogenous Heterocyclic Compounds with the SARS-CoV-2 Main Protease
(12/27/2020)In the context of the ongoing coronavirus disease 2019 (COVID-19) pandemic, numerous attempts have been made to discover new potential antiviral molecules against its causative agent, SARS-CoV-2, many of which focus on its ... -
A constructive cooperative coevolutionary algorithm applied to press line optimisation
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)Simulation-based optimisation often considers computationally expensive problems. Successfully optimising such large scale and complex problems within a practical timeframe is a challenging task. Optimisation techniques ... -
A Cross-Lagged Panel Analysis of Psychometric Intelligence and Achievement in Reading and Math
(9/1/2017)A cross-lagged panel analysis of Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) intelligence test scores and reading and math achievement test scores of 337 students twice assessed for special education ... -
A Differential–Developmental Model (DDM): Mental Speed, Attention Lapses, and General Intelligence (g)
(6/12/2017)The aim of this paper is to provide a parsimonious account of developmental and individual differences in intelligence (measured as g). The paper proposes a Differential–Developmental Model (DDM), which focuses on factors ... -
A Dramaturgical Analysis of Latina Influencers Use of Props and Settings to Signal Identity
(2022-06-27)Dramaturgical analysis has been applied by scholars to social media influencers, but how props and settings are used to signal identity is understudied. This study uses a series of in-depth interviews with Latina influencers ... -
A fast and accurate recognition system for flexible grasping of electronic goods
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)Automated packaging is becoming more and more interesting for various production sites even in Europe. However, in many companies the packaging process can only handle a limited amount of products. This leads to a very ... -
A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications
(10/13/2021)Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is to demonstrate the detection of faults in an electromechanical conversion chain for conventional or autonomous EVs. The ... -
A foresight study on future trends influencing material consumption and waste generation in production
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)There are boundless upcoming factors that influence future of material waste in production. This broad range of factors needs to be scanned, categorized and analyzed in a structured way. This paper by a foresight study, ... -
A framework to support the lifecycle of virtual manufacturing enterprises
(Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, 2014)This paper proposes a framework to support the full virtual manufacturing enterprise lifecycle from the creation to the operation and dissolution. The paper will show how the framework supports the activities involved in ... -
A Genetic Algorithm Using Triplet Nucleotide Encoding and DNA Reproduction Operations for Unconstrained Optimization Problems
(6/30/2017)As one of the evolutionary heuristics methods, genetic algorithms (GAs) have shown a promising ability to solve complex optimization problems. However, existing GAs still have difficulties in finding the global optimum and ... -
A Hierarchical Approach Using Machine Learning Methods in Solar Photovoltaic Energy Production Forecasting
(1/19/2016)We evaluate and compare two common methods, artificial neural networks (ANN) and support vector regression (SVR), for predicting energy productions from a solar photovoltaic (PV) system in Florida 15 min, 1 h and 24 h ahead ... -
A Kernel-Based Intuitionistic Fuzzy C-Means Clustering Using a DNA Genetic Algorithm for Magnetic Resonance Image Segmentation
(10/27/2017)MRI segmentation is critically important for clinical study and diagnosis. Existing methods based on soft clustering have several drawbacks, including low accuracy in the presence of image noise and artifacts, and high ...