Energy Consumption Prediction With Big Data: Balancing Prediction Accuracy And Computational Resources, Katarina Grolinger, Miriam Am Capretz, Luke Seewald
Electrical and Computer Engineering Publications
In recent years, advances in sensor technologies and expansion of smart meters have resulted in massive growth of energy data sets. These Big Data have created new opportunities for energy prediction, but at the same time, they impose new challenges for traditional technologies. On the other hand, new approaches for handling and processing these Big Data have emerged, such as MapReduce, Spark, Storm, and Oxdata H2O. This paper explores how findings from machine learning with Big Data can benefit energy consumption prediction. An approach based on local learning with support vector regression (SVR) is presented. Although local learning itself is ...
Commuting By Customized Bus: A Comparative Analysis With Private Car And Conventional Public Transport In Two Cities, 2016 University of Auckland
Commuting By Customized Bus: A Comparative Analysis With Private Car And Conventional Public Transport In Two Cities, Tao Liu, Avishai Ceder, Romain Bologna, Benjamin Cabantous
Journal of Public Transportation
Commuting is a major component in the creation of traffic and travel problems. Thus, more attention should be given to its practice. Private car (PC) transport, the dominant mode of commuting in most of the world’s major cities, creates traffic-related social problems such as traffic congestion, traffic fatalities and injuries, and adverse environmental impacts. This study proposes a novel commuting travel mode—a customized bus (CB) transit system that provides advanced, personalized, and flexible demand-interactive minibus service using Internet, telephone, and smartphone apps. The aim was to assess and compare the performance of CB with PC and with conventional ...
User-Composable Electronic Health Record Improves Efficiency Of Clinician Data Viewing For Patient Case Appraisal: A Mixed-Methods Study, 2016 SUNY Downstate Medical Center
User-Composable Electronic Health Record Improves Efficiency Of Clinician Data Viewing For Patient Case Appraisal: A Mixed-Methods Study, Yalini Senathirajah, David R. Kaufman, Suzanne R. Bakken
eGEMs (Generating Evidence & Methods to improve patient outcomes)
Background: Challenges in the design of electronic health records (EHRs) include designing usable systems that must meet the complex, rapidly changing, and high-stakes information needs of clinicians. The ability to move and assemble elements together on the same page has significant human-computer interaction (HCI) and efficiency advantages, and can mitigate the problems of negotiating multiple fixed screens and the associated cognitive burdens.
Objective: We compare MedWISE—a novel EHR that supports user-composable displays—with a conventional EHR in terms of the number of repeat views of data elements for patient case appraisal.
Design and Methods: The study used mixed-methods for ...
Optical Analysis And Fabrication Of Micro And Nanoscale Plasmonically Enhanced Devices, 2016 University of Arkansas, Fayetteville
Optical Analysis And Fabrication Of Micro And Nanoscale Plasmonically Enhanced Devices, Avery M. Hill
Physics Undergraduate Honors Theses
Plasmonic nanostructures have been shown to act as optical antennas that enhance optical devices due to their ability to focus light below the diffraction limit of light and enhance the intensity of the incident light. This study focuses on computational electromagnetic (CEM) analysis of two devices: 1) GaAs photodetectors with Au interdigital electrodes and 2) Au thin-film microstructures. Experiments showed that the photoresponse of the interdigital photodetectors depend greatly on the electrode gap and the polarization of the incident light. Smaller electrode gap and transverse polarization give rise to a larger photoresponse. It was also shown that the response from ...
Numerical Investigation Of Full Scale Thunderstorm Downbursts: A Parametric Study And Comparison To Meteorological Model, 2016 The University of Western Ontario
Numerical Investigation Of Full Scale Thunderstorm Downbursts: A Parametric Study And Comparison To Meteorological Model, Christopher Oreskovic
Electronic Thesis and Dissertation Repository
A series of Large Eddy Simulations using an atmospheric meteorological cloud model have been used to investigate the important geometric and thermal parameters that influence a thunderstorm downburst outflow, as it pertains specifically to the idealized cooling source model. A separate set of Large Eddy Simulations make use of the same idealized cooling source model, in a realistic atmospheric base state using real field sounding data, in an attempt to make a quantifiable comparison to a downburst from a full cloud simulation. Randomness has been added to the cooling source forcing function to mimic the thermal variation in a real ...
Strategic Cyberwar Theory - A Foundation For Designing Decisive Strategic Cyber Operations, 2016 United States Military Academy and Army Cyber Institute at West Point
Strategic Cyberwar Theory - A Foundation For Designing Decisive Strategic Cyber Operations, Jan Kallberg
A Model For Complex Heat And Mass Transport Involving Porous Media With Related Applications, 2016 The University of Western Ontario
A Model For Complex Heat And Mass Transport Involving Porous Media With Related Applications, Furqan A. Khan
Electronic Thesis and Dissertation Repository
Heat and mass transfer involving porous media is prevalent in, for example, air-conditioning, drying, food storage, and chemical processing. Such applications require non-equilibrium heat and mass (or moisture) transfer modeling inside porous media in conjugate fluid/porous/solid framework. Moreover, modeling of turbulence and turbulent heat and mass transfer becomes essential for many applications. A comprehensive literature review shows a scarcity of models having such capabilities. In this respect, the objectives of the present thesis are to: i) develop a formulation that simulates non-equilibrium heat and mass transfer in conjugate fluid/porous/solid framework, ii) demonstrate the capabilities of the ...
Effectiveness Of Soft Baseplates And Fastenings To Mitigate Track Dynamic Settlement At Transition Zone At Railway Bridge Approaches, Sakdirat Kaewunruen, A Remennikov, Akira Aikawa
“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, 2016 Liberty University
“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams
Senior Honors Theses
Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is ...
Modified Numerical-Analytical Analysis On Scpps, 2016 University of New Mexico
Modified Numerical-Analytical Analysis On Scpps, Nima Fathi
Modified Numerical-Analytical Analysis On Scpps, 2016 University of New Mexico
Modified Numerical-Analytical Analysis On Scpps, Nima Fathi, Seyed Sobhan Aleyasin, Peter Vorobieff
Responses And Vulnerability Of Composite Railway Track Slab To Train Derailments, 2016 University of Birmingham
Responses And Vulnerability Of Composite Railway Track Slab To Train Derailments, Sakdirat Kaewunruen, Olivia Mirza, Daniel Thomson
Cantor Fractal-Based Printed Slot Antenna For Dual-Band Wireless Applications, 2016 Department of Electrical Engineering, University of Technology, Iraq
Cantor Fractal-Based Printed Slot Antenna For Dual-Band Wireless Applications, Jawad Ali, Seevan Abdulkareem, Ali Hammoodi, Ali Salim, Mahmood Yassen, Mohammed Hussan, Hussain Al-Rizzo
Professor Jawad K. Ali
Seismic Vulnerability Analysis Of Bankstown’S West Terrace Railway Bridge, 2016 University of Western Sydney
Seismic Vulnerability Analysis Of Bankstown’S West Terrace Railway Bridge, Olivia Mirza, Sakdirat Kaewunruen, Darren Galia
Cfd Simulations And Experiments Of Meltblown Fibrous Media: New Die Designs To Enhance Fiber Attenuation And Filtration Quality, Mohammad Hassan
Mohammad Abouelreesh Hassan
Coel: A Web-Based Chemistry Simulation Framework, 2016 Portland State University
Coel: A Web-Based Chemistry Simulation Framework, Peter Banda, Drew Blount, Christof Teuscher
The chemical reaction network (CRN) is a widely used formalism to describe macroscopic behavior of chemical systems. Available tools for CRN modelling and simulation require local access, installation, and often involve local file storage, which is susceptible to loss, lacks searchable structure, and does not support concurrency. Furthermore, simulations are often single-threaded, and user interfaces are non-trivial to use. Therefore there are significant hurdles to conducting efficient and collaborative chemical research. In this paper, we introduce a new enterprise chemistry simulation framework, COEL, which addresses these issues. COEL is the first web-based framework of its kind. A visually pleasing and ...
Procesy Cieplne I Aparaty (Lab), 2016 Wroclaw University of Technology
Procesy Cieplne I Aparaty (Lab), Wojciech Budzianowski
Ms-Reduce: An Ultrafast Technique For Reduction Of Big Mass Spectrometry Data For High-Throughput Processing, Muaaz Gul Awan, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Modern proteomics studies utilize high-throughput mass spectrometers which can produce data at an astonishing rate. These big Mass Spectrometry (MS) datasets can easily reach peta-scale level creating storage and analytic problems for large-scale systems biology studies. Each spectrum consists of thousands of peaks which have to be processed to deduce the peptide. However, only a small percentage of peaks in a spectrum are useful for peptide deduction as most of the peaks are either noise or not useful for a given spectrum. This redundant processing of non-useful peaks is a bottleneck for streaming high-throughput processing of big MS data. One ...
Growth And Characterization Of Wide Bandgap Quaternary Bemgzno Thin Films And Bemgzno/Zno Heterostructures, 2016 Virginia Commonwealth University
Growth And Characterization Of Wide Bandgap Quaternary Bemgzno Thin Films And Bemgzno/Zno Heterostructures, Mykyta Toporkov 2518849
Theses and Dissertations
This thesis reports a comprehensive study of quaternary BeMgZnO alloy and BeMgZnO/ZnO heterostructures for UV-optoelectronics electronic applications. It was shown that by tuning Be and Mg contents in the heterostructures, high carrier densities of two-dimensional electron gas (2DEG) are achievable and makes its use possible for high power RF applications. Additionally, optical bandgaps as high as 5.1 eV were achieved for single crystal wurtzite material which allows the use of the alloy for solar blind optoelectronics (Eg>4.5eV) or intersubband devices.
A systematic experimental and theoretical study of lattice parameters and bandgaps of quaternary BeMgZnO alloy ...
Project Oasis: Optimizing Aquaponic Systems To Improve Sustainability, 2016 University of New Hampshire, Durham
Project Oasis: Optimizing Aquaponic Systems To Improve Sustainability, Siddharth Nigam, Paige Balcom
Honors Theses and Capstones
Started in Fall 2015, Project OASIS (Optimizing Aquaponic Systems to Improve Sustainability) is an interdisciplinary capstone project with the goal of designing a sustainable and affordable small-scale aquaponic system for use in developing nations to tackle the problems of malnutrition and food insecurity. Aquaponics is a symbiotic relationship between fish and vegetables growing together in a recirculating system. The project’s goals were to minimize energy consumption and construction costs while using universally available materials. The computational fluid dynamics (CFD) software OpenFOAM was used to create transient and steady-state models of fish tanks to visualize velocity profiles, streamlines, and particle ...