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2018

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Articles 6061 - 6090 of 8951

Full-Text Articles in Engineering

Optimization Of Wavelength Selection For Multispectral Image Acquisition: A Case Study Of Atrial Ablation Lesions, Huda Asfour, S. Guan, Narine Muselimyan, Luther M. Swift, Murray Loew, Narine Sarvazyan Jan 2018

Optimization Of Wavelength Selection For Multispectral Image Acquisition: A Case Study Of Atrial Ablation Lesions, Huda Asfour, S. Guan, Narine Muselimyan, Luther M. Swift, Murray Loew, Narine Sarvazyan

Pharmacology and Physiology Faculty Publications

In vivo autofluorescence hyperspectral imaging of moving objects can be challenging due to motion artifacts and to the limited amount of acquired photons. To address both limitations, we selectively reduced the number of spectral bands while maintaining accurate target identification. Several downsampling approaches were applied to data obtained from the atrial tissue of adult pigs with sites of radiofrequency ablation lesions. Standard image qualifiers such as the mean square error, the peak signal-to-noise ratio, the structural similarity index map, and an accuracy index of lesion component images were used to quantify the effects of spectral binning, an increased spectral distance …


Mems Fabrication Of A Peristaltic Pump, Nicholas Amendola Jan 2018

Mems Fabrication Of A Peristaltic Pump, Nicholas Amendola

Journal of the Microelectronic Engineering Conference

No abstract provided.


Automated Droplet Manipulation Through Electrowetting On Dielectric For Solid-Phase Oligonucleotide Synthesis, Hee Tae An Jan 2018

Automated Droplet Manipulation Through Electrowetting On Dielectric For Solid-Phase Oligonucleotide Synthesis, Hee Tae An

Journal of the Microelectronic Engineering Conference

No abstract provided.


Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold Jan 2018

Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold

Journal of the Microelectronic Engineering Conference

This project follows the design of the full timeline of an equipment installation in a microelectronics cleanroom, from developing an understanding of the tool through preparation of facilities, installation of the tool, and setup for use. The tool installed is a Plasmatherm Apex SLR Inductively-Coupled Plasma (ICP) Etcher manufactured by Advanced Vacuum. This tool was purchased by an RIT professor for ICP etching on III-V substrates, a new capability for the RIT SMFL. Installed additionally are the auxiliary equipment units, including two chillers, a Gas Reactor Column (GRC), and a roughing pump. The operation of the main tool for processing …


Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold Jan 2018

Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold

Journal of the Microelectronic Engineering Conference

No abstract provided.


Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold Jan 2018

Installation And Operation Of An Inductively-Coupled Plasma (Icp) Etcher, Eve Arnold

Journal of the Microelectronic Engineering Conference

No abstract provided.


Characterization Of Alsi And Alsi-Tisi2 Metal-Semiconductor Contacts, Mark Davis Jan 2018

Characterization Of Alsi And Alsi-Tisi2 Metal-Semiconductor Contacts, Mark Davis

Journal of the Microelectronic Engineering Conference

No abstract provided.


Characterization Of Alsi And Alsi-Tisi2 Metal-Semiconductor Contacts, Mark Davis Jan 2018

Characterization Of Alsi And Alsi-Tisi2 Metal-Semiconductor Contacts, Mark Davis

Journal of the Microelectronic Engineering Conference

No abstract provided.


Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Brandon Hayes, Austin Hayes, Matthew Rolleston, Alexander Ferreira, James Krisher Jan 2018

Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Brandon Hayes, Austin Hayes, Matthew Rolleston, Alexander Ferreira, James Krisher

Journal of the Microelectronic Engineering Conference

Microfluidics differ from conventional fluid flows in that viscous forces dominate. As a result, microfluidics offer unprecedented control over fluid flows. The precise manipulation of fluids can be applied anywhere from healthcare in medical diagnostics to pharmaceutical companies miniaturizing reactions to reduce reagent consumption. In order to apply microfluidics as a comprehensive solution, unit operations must be performed – such as mixing, sorting, dilution, and much more. This work investigates mixing using thermal inkjet technology. Unlike macroscopic fluid flows with turbulence, transport phenomena become restricted in microfluidics. Active mixing approaches apply external forces (such as thermal or electric) to enhance …


Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Brandon Hayes, Austin Hayes, Matthew Rolleston, Alexander Ferreira, James Krisher Jan 2018

Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Brandon Hayes, Austin Hayes, Matthew Rolleston, Alexander Ferreira, James Krisher

Journal of the Microelectronic Engineering Conference

No abstract provided.


Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Matthew Rolleston, Brandon Hayes Jan 2018

Pulsatory Mixing Of Laminar Flow Using Bubble-Driven Micro-Pumps, Matthew Rolleston, Brandon Hayes

Journal of the Microelectronic Engineering Conference

No abstract provided.


Design And Fabrication Of A Three-Axis Capacitive Accelerometer, Eddie Huang Jan 2018

Design And Fabrication Of A Three-Axis Capacitive Accelerometer, Eddie Huang

Journal of the Microelectronic Engineering Conference

No abstract provided.


Fabrication And Characterization Of High-K Al2o3 And Hfo2 Capacitors, Jesse Judd Jan 2018

Fabrication And Characterization Of High-K Al2o3 And Hfo2 Capacitors, Jesse Judd

Journal of the Microelectronic Engineering Conference

No abstract provided.


Improvements In Gasb Homoepitaxial And Imf Solar Cells Grown Via Metal-Organic Chemical Vapor Deposition, Emily Kessler Jan 2018

Improvements In Gasb Homoepitaxial And Imf Solar Cells Grown Via Metal-Organic Chemical Vapor Deposition, Emily Kessler

Journal of the Microelectronic Engineering Conference

No abstract provided.


Vacuum Field Emission Devices With Integrated Cnts, Leo Kheyn-Kheyfets Jan 2018

Vacuum Field Emission Devices With Integrated Cnts, Leo Kheyn-Kheyfets

Journal of the Microelectronic Engineering Conference

No abstract provided.


Enhanced Boron Activation In Xenon Flash Lamp Annealed Polysilicon Through Pre-Amorphization, Adam Rosenfeld Jan 2018

Enhanced Boron Activation In Xenon Flash Lamp Annealed Polysilicon Through Pre-Amorphization, Adam Rosenfeld

Journal of the Microelectronic Engineering Conference

No abstract provided.


Silicon Nanowire Solar Cells By Metal-Assisted Chemical Etching, Cody Soule Jan 2018

Silicon Nanowire Solar Cells By Metal-Assisted Chemical Etching, Cody Soule

Journal of the Microelectronic Engineering Conference

No abstract provided.


Resistance Temperature Detectors In A Cryostat Refrigeration System, Kirsten Marie Manahan, Alice Callen Jan 2018

Resistance Temperature Detectors In A Cryostat Refrigeration System, Kirsten Marie Manahan, Alice Callen

STAR Program Research Presentations

The Large Synoptic Survey Telescope (LSST) is a ground-based telescope that will survey the Southern sky every few nights. Located in the telescope will be a 3.2 gigapixel digital camera. To ensure proper instrumentation of the camera, there must be a monitored stable temperature. As part of my research, I assembled resistance temperature detectors and tested them to verify their reliability in measuring temperature in the camera’s cryostat refrigeration cooling system. Resistance temperature detectors function by the principle of thermal resistivity, in which their electrical resistances vary as temperature varies. Through testing, I was able to determine whether these particular …


Implementation Of Unmanned Aerial Vehicles Reporting Plume Cloud Concentration Values In A 3d Simulation Environment, Emily Catherine Novak Jan 2018

Implementation Of Unmanned Aerial Vehicles Reporting Plume Cloud Concentration Values In A 3d Simulation Environment, Emily Catherine Novak

Browse all Theses and Dissertations

Unmanned aerial vehicles, or UAVs, have the potential to vastly improve plume cloud tracking at low cost. Plume clouds can be produced from blast mining, chemical warfare, unintended man-made disasters, and natural causes. This thesis provides implementation of the capability to simulate a 3D environment in which UAVs are individually controlled and each report a plume's concentration value at a specific location. It leverages existing industry standard technologies, including the PX4 autopilot system, the Gazebo simulation environment, the Robot Operating System (ROS), and QGroundControl. The provided system integrates the existing tools with a plume model plug-in that provides simulated plume …


Approaches To Denoise The Diffuse Optical Signals For Tissue Blood Flow Measurement, Peng Zhang, Zhiguo Gui, Yu Shang Jan 2018

Approaches To Denoise The Diffuse Optical Signals For Tissue Blood Flow Measurement, Peng Zhang, Zhiguo Gui, Yu Shang

Faculty & Staff Scholarship

Various diseases are relevant to the abnormal blood flow in tissue. Diffuse correlation spectroscopy (DCS) is an emerging technology to extract the blood flow index (BFI) from light electric field temporal autocorrelation data. To account for tissue heterogeneity and irregular geometry, we developed an innovative DCS algorithm (i.e., the Nth order linear algorithm, or simply the NL algorithm) previously, in which the DCS signals are fully utilized through iterative linear regressions. Under the framework of NL algorithm, the BFI to be extracted is significantly influenced by the linear regression approach adopted. In this study, three approaches were proposed and evaluated …


Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko Jan 2018

Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko

Faculty & Staff Scholarship

The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental and theoretical studies, and it can be formulated as a nonlinear dynam- ical system. The underlying mechanism responsible for locomotor behavior can be expressed as the process of leaky integration with resetting states generating appropriate phases for changing body velocity. The low-dimensional input to the CPG model generates the bilateral pattern of swing and stance modulation for each limb and is consistent with the desired …


Fabrication And Thermoelectric Characterization Of Transition Metal Silicide-Based Composite Thermocouples, Gunes A. Yakaboylu, Rajalekshmi C. Pillai, Katarzyna Sabolsky, Edward M. Sabolsky Jan 2018

Fabrication And Thermoelectric Characterization Of Transition Metal Silicide-Based Composite Thermocouples, Gunes A. Yakaboylu, Rajalekshmi C. Pillai, Katarzyna Sabolsky, Edward M. Sabolsky

Faculty & Staff Scholarship

Metal silicide-based thermocouples were fabricated by screen printing thick films of the powder compositions onto alumina tapes followed by lamination and sintering processes. The legs of the embedded thermocouples were composed of composite compositions consisting of MoSi2, WSi2, ZrSi2, or TaSi2 with an additional 10 vol % Al2O3 to form a silicide–oxide composite. The structural and high-temperature thermoelectric properties of the composite thermocouples were examined using X-ray diffraction, scanning electron microscopy and a typical hot–cold junction measurement technique. MoSi2-Al2O3 and WSi2-Al2O3 composites exhibited higher intrinsic Seebeck coefficients (22.2–30.0 μV/K) at high-temperature gradients, which were calculated from the thermoelectric data of …


A Comprehensive Method Of Calculating Maximum Bridge Scour Depth, Rupayan Saha, Seung Oh Lee, Seung Ho Hong Jan 2018

A Comprehensive Method Of Calculating Maximum Bridge Scour Depth, Rupayan Saha, Seung Oh Lee, Seung Ho Hong

Faculty & Staff Scholarship

Recently, the issues of scour around a bridge have become prominent because of the recurrent occurrence of extreme weather events. Thus, a bridge must be designed with the appropriate protection measures to prevent failure due to scour for the high flows to which it may be subjected during such extreme weather events. However, the current scour depth estimation by several recommended equations shows inaccurate results in high flow. One possible reason is that the current scour equations are based on experiments using free-surface flow even though extreme flood events can cause bridge overtopping flow in combination with submerged orifice flow. …


Predictive Models For Charitable Giving Using Machine Learning Techniques, Leily Farrokhvar, Azadeh Ansari, Behrooz Kamali Jan 2018

Predictive Models For Charitable Giving Using Machine Learning Techniques, Leily Farrokhvar, Azadeh Ansari, Behrooz Kamali

Faculty & Staff Scholarship

Private giving represents more than three fourths of all U.S. charitable donations, about 2% of total Gross Domestic Product (GDP). Private giving is a significant factor in funding the nonprofit sector of the U.S. economy, which accounts for more than 10% of total GDP. Despite the abundance of data available through tax forms and other sources, it is unclear which factors influence private donation, and a reliable predictive mechanism remains elu- sive. This study aims to develop predictive models to accurately estimate future charitable giving based on a set of potentially influential factors. We have selected several factors, including unemployment …


Effects Of Water Content And Particle Size On Yield And Reactivity Of Lignite Chars Derived From Pyrolysis And Gasification, Yong Huang, Yonggang Wang, Hao Zhou, Yaxuan Gao, Deliang Xu, Lei Bai, Shu Zhang Jan 2018

Effects Of Water Content And Particle Size On Yield And Reactivity Of Lignite Chars Derived From Pyrolysis And Gasification, Yong Huang, Yonggang Wang, Hao Zhou, Yaxuan Gao, Deliang Xu, Lei Bai, Shu Zhang

Faculty & Staff Scholarship

Water inside coal particles could potentially enhance the interior char–steam reactions during pyrolysis and gasification. This study aims to examine the effects of water contents on the char conversion during the pyrolysis and gasification of Shengli lignite. The ex-situ reactivities of chars were further analyzed by a thermo gravimetric analyzer (TGA). Under the pyrolysis condition, the increase in water contents has monotonically decreased the char yields only when the coal particles were small (μm). In contrast, the water in only large coal particles (0.9–2.0 mm) has clearly favored the increase in char conversion during the gasification condition where 50% steam …


Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert Jan 2018

Detecting Body Mass Index From A Facial Photograph In Lifestyle Intervention, Makenzie L. Barr, Guodong Guo, Sarah E. Colby, Melissa D. Olfert

Faculty & Staff Scholarship

This study aimed to identify whether a research participant’s body-mass index (BMI) can be correctly identified from their facial image (photograph) in order to improve data capturing in dissemination and implementation research. Facial BMI (fBMI) was measured using an algorithm formulated to identify points on each enrolled participant’s face from a photograph. Once facial landmarks were detected, distances and ratios between them were computed to characterize facial fatness. A regression function was then used to represent the relationship between facial measures and BMI values to then calculate fBMI from each photo image. Simultaneously, BMI was physically measured (mBMI) by trained …


Using Lamodel To Analyze Coal Bumps, Keith A. Heasley, Ihsan Berk Tulu Jan 2018

Using Lamodel To Analyze Coal Bumps, Keith A. Heasley, Ihsan Berk Tulu

Faculty & Staff Scholarship

Coal bumps have long been a safety hazard in coal mines, and even after decades of research, the exact mechanics that cause coal bumps are still not well understood. Therefore, coal bumps are still difficult to predict and control. The LaModel program has a long history of being used to effectively analyze displace- ments and stresses in coal mines, and with the recent addition of energy release and local mine stiffness calculations, the LaModel program now has greatly increased capabilities for evaluating coal bump potential. This paper presents three recent case histories where coal stress, pillar safety factor, energy release …


Quantum Confined Peptide Assemblies With Tunable Visible To Near-Infrared Spectral Range, Kai Tao, Zhen Fan, Leming Sun, Pandeeswar Makam, Zhen Tian, Mark Ruegsegger, Shira Shaham-Niv, Derek Hansford, Ruth Aizen, Zui Pan, Scott Galster, Jianjie Ma, Fan Yuan, Mingsu Si, Songnan Qu, Mingjun Zhang, Ehud Gazit, Junbai Li Jan 2018

Quantum Confined Peptide Assemblies With Tunable Visible To Near-Infrared Spectral Range, Kai Tao, Zhen Fan, Leming Sun, Pandeeswar Makam, Zhen Tian, Mark Ruegsegger, Shira Shaham-Niv, Derek Hansford, Ruth Aizen, Zui Pan, Scott Galster, Jianjie Ma, Fan Yuan, Mingsu Si, Songnan Qu, Mingjun Zhang, Ehud Gazit, Junbai Li

Faculty & Staff Scholarship

Quantum confined materials have been extensively studied for photoluminescent applica- tions. Due to intrinsic limitations of low biocompatibility and challenging modulation, the utilization of conventional inorganic quantum confined photoluminescent materials in bio- imaging and bio-machine interface faces critical restrictions. Here, we present aromatic cyclo-dipeptides that dimerize into quantum dots, which serve as building blocks to further self-assemble into quantum confined supramolecular structures with diverse morphologies and photoluminescence properties. Especially, the emission can be tuned from the visible region to the near-infrared region (420 nm to 820 nm) by modulating the self-assembly process. Moreover, no obvious cytotoxic effect is observed for …


Incineration Of Nanoclay Composites Leads To Byproducts With Reduced Cellular Reactivity, Alixandra Wagner, Andrew P. White, Man Chio Tang, Sushant Agarwal, Todd A. Stueckle, Yon Rojanasakul, Rakesh K. Gupta, Carasela Zoica Dinu Jan 2018

Incineration Of Nanoclay Composites Leads To Byproducts With Reduced Cellular Reactivity, Alixandra Wagner, Andrew P. White, Man Chio Tang, Sushant Agarwal, Todd A. Stueckle, Yon Rojanasakul, Rakesh K. Gupta, Carasela Zoica Dinu

Faculty & Staff Scholarship

Addition of nanoclays into a polymer matrix leads to nanocomposites with enhanced properties to be used in plastics for food packaging applications. Because of the plastics’ high stored energy value, such nanocomposites make good candidates for disposal via municipal solid waste plants. However, upon disposal, increased concerns related to nanocomposites’ byproducts potential toxicity arise, especially considering that such byproducts could escape disposal filters to cause inhalation hazards. Herein, we investigated the effects that byproducts of a polymer polylactic acid-based nanocomposite containing a functionalized montmorillonite nanoclay (Cloisite 30B) could pose to human lung epithelial cells, used as a model for inhalation …


Interval Fuzzy Model For Robust Aircraft Imu Sensors Fault Detection, Michele Crispoltoni, Mario Luca Fravolini, Fabio Balzano, Stephane D'Urso, Marcello Rosario Napolitano Jan 2018

Interval Fuzzy Model For Robust Aircraft Imu Sensors Fault Detection, Michele Crispoltoni, Mario Luca Fravolini, Fabio Balzano, Stephane D'Urso, Marcello Rosario Napolitano

Faculty & Staff Scholarship

This paper proposes a data-based approach for a robust fault detection (FD) of the inertial measurement unit (IMU) sensors of an aircraft. Fuzzy interval models (FIMs) have been introduced for coping with the significant modeling uncertainties caused by poorly modeled aerodynamics. The proposed FIMs are used to compute robust prediction intervals for the measurements provided by the IMU sensors. Specifically, a nonlinear neural network (NN) model is used as central prediction of the sensor response while the uncertainty around the central estimation is captured by the FIM model. The uncertainty has been also modelled using a conventional linear Interval Model …