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Articles 961 - 990 of 41040
Full-Text Articles in Entire DC Network
Real-Time Indoor Assistive Localization With Mobile Omnidirectional Vision And Cloud Gpu Acceleration, Feng Hu, Zhigang Zhu, Jeury Mejia, Hao Tang
Real-Time Indoor Assistive Localization With Mobile Omnidirectional Vision And Cloud Gpu Acceleration, Feng Hu, Zhigang Zhu, Jeury Mejia, Hao Tang
Publications and Research
In this paper we propose a real-time assistive localization approach to help blind and visually impaired people in navigating an indoor environment. The system consists of a mobile vision front end with a portable panoramic lens mounted on a smart phone, and a remote image feature-based database of the scene on a GPU-enabled server. Compact and elective omnidirectional image features are extracted and represented in the smart phone front end, and then transmitted to the server in the cloud. These features of a short video clip are used to search the database of the indoor environment via image-based indexing to …
Mutational Analysis Of The Molluscum Contagiosum Virus Mc160 Protein, Henri Estanbouli
Mutational Analysis Of The Molluscum Contagiosum Virus Mc160 Protein, Henri Estanbouli
Seton Hall University Dissertations and Theses (ETDs)
The Molluscum Contagiosum Virus (MCV), belongs to a family of large DNA viruses called Poxviridae. MCV causes a common skin infection resulting in benign neoplasms. 122 million cases of MC were reported in 2010. The virus is not primarily lethal, though fatalities have occurred due to secondary bacterial infections. Even with the high volume of reported cases, MCV is very much understudied, and its pathogenicity is not well understood. Thus, with that in mind, a more in-depth understanding of the MCV-host interactions is a priority. Presumably during infection, MCV utilizes immune evasion molecules to inhibit activation of the host pro-inflammatory …
Initiation And Long-Term Instability Of The East Antarctic Ice Sheet, Sean P.S. Gulick, Amelia E. Shevenell, Aleksandr Montelli, Rodrigo Fernandez, Catherine Smith, Sophie Warny, Steven M. Bohaty, Charlotte Sjunneskog, Amy Leventer, Bruce Frederick, Donald D. Blankenship
Initiation And Long-Term Instability Of The East Antarctic Ice Sheet, Sean P.S. Gulick, Amelia E. Shevenell, Aleksandr Montelli, Rodrigo Fernandez, Catherine Smith, Sophie Warny, Steven M. Bohaty, Charlotte Sjunneskog, Amy Leventer, Bruce Frederick, Donald D. Blankenship
Faculty Publications
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Antarctica's continental-scale ice sheets have evolved over the past 50 million years. However, the dearth of ice-proximal geological records limits our understanding of past East Antarctic Ice Sheet (EAIS) behaviour and thus our ability to evaluate its response to ongoing environmental change. The EAIS is marine-terminating and grounded below sea level within the Aurora subglacial basin, indicating that this catchment, which drains ice to the Sabrina Coast, may be sensitive to climate perturbations. Here we show, using marine geological and geophysical data from the continental shelf seaward of …
Layer-By-Layer Assembled Membranes With Immobilized Porins, Sebastián Hernández, Cassandra Porter, Xinyi Zhang, Yinan Wei, Dibakar Bhattacharyya
Layer-By-Layer Assembled Membranes With Immobilized Porins, Sebastián Hernández, Cassandra Porter, Xinyi Zhang, Yinan Wei, Dibakar Bhattacharyya
Chemical and Materials Engineering Faculty Publications
New and advanced opportunities are arising for the synthesis and functionalization of membranes with selective separation, reactivity, and stimuli-responsive behavior. One such advancement is the integration of bio-based channels in membrane technologies. By a layer-by-layer (LbL) assembly of polyelectrolytes, outer membrane protein F trimers (OmpF) or “porins” from Escherichia coli with central pores ∼2 nm in diameter at their opening and ∼0.7 × 1.1 nm at their constricted region are immobilized within the pores of poly(vinylidene fluoride) microfiltration membranes, in contrast to traditional ruptured lipid bilayer or vesicle processes. These OmpF-membranes demonstrate selective rejection of non-charged organics over ionic solutes, …
A Physical Framework For Evaluating Flood Inundation Risk Under Different Water Management Scenarios, Sage Hardesty
A Physical Framework For Evaluating Flood Inundation Risk Under Different Water Management Scenarios, Sage Hardesty
Master's Theses
In the United States, many river floodplains contain critical infrastructure that is vulnerable to extreme hydrologic events. These structures are designed based on flood frequency analysis aimed at quantifying the magnitude of the extreme events. However, many floodplains are ungauged or poorly gauged, making flood frequency analysis significantly uncertain. This research topic focuses on estimating flood frequency peaks for an ungauged critical infrastructure within Connecticut’s Naugatuck River Basin utilizing a physically based approach consisting of a distributed rainfall-runoff model forced by long-term reanalysis meteorological data and a hydraulic model driven by high-resolution LiDAR derived terrain elevation data. The hydrologic model …
State V. Willard Appellant's Brief Dckt. 45204
State V. Cruse Appellant's Reply Brief Dckt. 44922
State V. Wiggins Respondent's Brief Dckt. 45107
State V. Harvey Appellant's Brief Dckt. 45129
Redesigning High School Mathematics Curriculum To Enhance College Readiness, Alicia Sanfillippo
Redesigning High School Mathematics Curriculum To Enhance College Readiness, Alicia Sanfillippo
Honors Theses
As a peer tutor and academic coach at Western Michigan University since Fall 2014, I frequently assisted students with mathematics and science courses. Working closely with university students made me realize that many students lacked important skills that I would expect to have been developed prior to college. The skills that I realized students were lacking with respect to math literacy were pattern recognition, the ability to transfer skills, and comprehension and use of mathematical language. I set out to develop these skills as I prepared for an internship in an remedial Algebra II class at Kalamazoo Central High School. …
Reborn Of The Beauty, Ting Hsuan Tsao
Reborn Of The Beauty, Ting Hsuan Tsao
Theses
Nowadays, 3D techniques play an important role in the reproduction of history and culture on screen. Modeling and 3D visual effects, using technical tools and other computer methods to achieve high returns from the movie industry, have become prominent in today’s technological trends.
Taiwan has always been identified as a province of China. The island nation, however, has its own unique culture and history. With the growing number of people emigrating to Taiwan annually, the opportunity to share our story has grown as well. In this regard, the 3D technique offers useful ways to bring the past back to life, …
Perceptions Of Nonnative Accented Speakers, Elif Ikizer
Perceptions Of Nonnative Accented Speakers, Elif Ikizer
Doctoral Dissertations
During communication with a novel individual, nonnative accent can be one of the first factors that determine the course of the conversation. This dissertation aims to understand perceptions toward nonnative accented speakers. We aimed to understand the effect of the targets’ accent, background, and race on the perceivers’ perceptions. In Study 1, we exposed White American college students to fictional Latino and White American teaching assistants. In Study 2, we exposed White American college students to fictional French and White American teaching assistants. In Study 3, we exposed White American, Latino, and other ethnicity perceivers to fictional Latino and White …
Computational Framework For Modeling Adhesion Of The Red Blood Cell Membrane Using Impetus, Vi Quoc Ha
Computational Framework For Modeling Adhesion Of The Red Blood Cell Membrane Using Impetus, Vi Quoc Ha
Doctoral Dissertations
Modeling multiple receptor-ligand interactions, where receptors are distributed on a fluctuating membrane, is challenging since it involves two very distinct timescales. We overcame this obstacle by introducing an essentially time coarse-graining algorithm by employing a stochastic methodology to compute the probability of the bond remaining intact at specific time step. We developed a computational framework to model the complex receptor and ligand interaction by using a survival probability function. Using the model, we studied how membrane oscillations are affected by adhesion between substrate ligands and membrane receptors, and how diffusion of membrane receptors depends on ligand-receptor adhesion.
In order to …
Development Of The New Educational Content "Small Uas In Civil Engineering Application Scenarios", E. Levin, K. Vach, R. Shults
Development Of The New Educational Content "Small Uas In Civil Engineering Application Scenarios", E. Levin, K. Vach, R. Shults
Michigan Tech Publications, Part 1
The key point of this paper is presentation of the main idea and some results of the project "Small UAS in civil engineering application scenarios" (SUAS-CAS). This project was proposed by newly established in 2016 ISPRS WG V/7: "Innovative Technologies in Training Civil Engineers and Architects". Here we are presenting our experience in using low-cost UAS in training architects at Kyiv National University of Construction and Architecture, which was chosen as basic for this project. In the first part of paper, the project outline is presented. Then the first and possible follow project outcomes were described. In some details is …
Paleo Journey: An Interactive Paleolithic Cave Art Experience. Using The User Experience (Ux) Design Process To Develop An Interactive And Immersive Paleolithic Cave Art Exhibit Suitable For Children Between Five (5) And Seven (7) Years Old., James J. Parrillo
Theses
Most European caves containing Paleolithic cave art paintings (dating from approximately 10,000 – 50,000 years BP) are no longer accessible to the general public, and their visitor centers often require lengthy travel for tourists. In addition, the interactivity associated with these exhibits largely focus upon computer screens, and not a tactile interface. This Thesis project seeks to create a prototype of a tactile interface on a mock cave surface using projection mapping and motion tracking.
In developing this exhibit, the user experience (UX) design process was used as a methodology for defining, researching and co-designing for a particular user segment. …
We Fish: An Interactive Information Design Mobile App For Local Fishing, Liyang Wang
We Fish: An Interactive Information Design Mobile App For Local Fishing, Liyang Wang
Theses
Fishing is a popular hobby in today’s society. People enjoy fishing to relieve stress, create social bonds, and find it fulfilling and challenging. In order to fish effectively, a fisherman needs to know the real-time weather, location information, and have basic fishing knowledge. There are many ways we can help fishermen by providing this information in an easily accessible manner. For fishing beginners and fishing amateurs, the best way to help them catch fish is to create a tool that solves their needs.
Mobile applications have quickly become a useful tool and are widely used today for its diversity and …
A Low, Cost Portable Ground Station To Track And Communicate With Satellites In Vhf Band, Sneha Velayudhan
A Low, Cost Portable Ground Station To Track And Communicate With Satellites In Vhf Band, Sneha Velayudhan
Theses
In this thesis, we present the architecture and implementation of a low-cost, small, mobile and easily deployable ground station to track and receive signals from satellites that operate on the VHF-band (144 MHz to 147 MHz). The ground station uses a handheld 5-dB gain Yagi-Uda antenna, a low noise amplifier with 23 dB gain and a software defined radio (FUNcube Dongle) to receive the signals. The analog front end’s software-defined nature gives it the flexibility to target satellites with diverse power, modulation and error-correcting schemes. Software for satellite tracking, signal decoding and processing is freely-available.
The low cost of the …
Soundboard Scholar No. 3 (Complete)
Drinking Motives And Alcohol Use: The Serve Study Of U.S. Current And Former Service Members, Cynthia D. Mohr, Cameron T. Mccabe, Sarah N. Haverly, Leslie B. Hammer, Kathleen F. Carlson
Drinking Motives And Alcohol Use: The Serve Study Of U.S. Current And Former Service Members, Cynthia D. Mohr, Cameron T. Mccabe, Sarah N. Haverly, Leslie B. Hammer, Kathleen F. Carlson
Psychology Faculty Publications and Presentations
Objective: Hazardous drinking in the armed forces is a signifi cant problem. Alcohol use motivations, known risk factors for problem drinking, have been underexplored in this population. Our study extends knowledge about drinking motives among current and former U.S. service members and provides recommendations on their utility in identifying alcohol-related problems by examining the factor structure of multidimensional drinking motives and their association to alcohol use.
Method: Post-9/11 separated service members and current reservists were recruited from 35 Oregon employers to participate in a workplace study of supervisor support. The resulting sample (N = 509; 84% male; mean age = …
Development And Applications Of A Real-Time Magnetic Electron Energy Spectrometer For Use With Medical Linear Accelerators, Paul Ethan Maggi
Development And Applications Of A Real-Time Magnetic Electron Energy Spectrometer For Use With Medical Linear Accelerators, Paul Ethan Maggi
LSU Doctoral Dissertations
Purpose – This work presents a design for a real-time electron energy spectrometer, and provides data analysis methods and characterization of the real-time system. This system is intended for use with medical linear accelerators (linacs). The goal is 1 Hz acquisition of the energy range 4-25 MeV, reconstructed in 0.1 MeV increments.
Methods – Our spectrometer uses a nominal 0.54 T permanent magnet block as the dispersive element and scintillating fibers coupled to a CCD camera as the position sensitive detector. A broad electron beam produced by a linac is collimated by a 6.35 mm dimeter aperture at the entrance …
Using Imagery Of Lawns To Estimate Lawn Care Need, Charles Armstrong
Using Imagery Of Lawns To Estimate Lawn Care Need, Charles Armstrong
Defensive Publications Series
Generally, the present disclosure is directed to identifying properties whose owners are likely to be receptive to lawn care services. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict that a property exhibits a need for lawn care disproportional to surrounding properties and/or has an owner or owners with the financial capability to afford lawn care services based on imagery and/or real estate information for the property and/or surrounding properties.
Using Imagery Of Property Improvements To Direct Marketing, Charles Armstrong
Using Imagery Of Property Improvements To Direct Marketing, Charles Armstrong
Defensive Publications Series
Generally, the present disclosure is directed to using imagery of properties containing property improvements to direct advertising for such improvements. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict that a property has a property improvement based on imagery of the property.
Generating Punctuation For Spoken Text, Sourish Chaudhuri, Andrew Gallagher
Generating Punctuation For Spoken Text, Sourish Chaudhuri, Andrew Gallagher
Defensive Publications Series
Generally, the present disclosure is directed to generating punctuation for spoken text from a speech-to-text system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate punctuation data for spoken text based on speech data for the spoken text
Anticipatory Product Development Using Design Suggestions, Nicole Gibson, Kevin D. Brune
Anticipatory Product Development Using Design Suggestions, Nicole Gibson, Kevin D. Brune
Defensive Publications Series
Generally, the present disclosure is directed to determining an optimal solution for building and/or designing a multi-dimensional product. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal design solution for building and/or designing a product based on design characteristics and information relating to existing designs.
Compressed Sensing For Monitoring Of An Application, Roberto Lupi
Compressed Sensing For Monitoring Of An Application, Roberto Lupi
Defensive Publications Series
Generally, the present disclosure is directed to monitoring behavior of an application or other computing system or computing task. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict behavior of an application or other computing system or computing task based on monitoring data.
Machine-Learned Wireless Propagation Model, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen
Machine-Learned Wireless Propagation Model, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen
Defensive Publications Series
Generally, the present disclosure is directed to predicting wireless propagation in an area and/or at a wavelength. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict propagation data (e.g. radio signal attenuation and/or Bit Error Rate (BER)) based on connection data and terrain data.
Determining Optimal Wireless Propagation Model For A Region And Wavelength, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen
Determining Optimal Wireless Propagation Model For A Region And Wavelength, Yi-Fan Chen, Georgios Roumpos, Boon-Lock Yeo, Peter Yung Sen Chen
Defensive Publications Series
Generally, the present disclosure is directed to determining an optimal wireless propagation model for a given region and wavelength. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal wireless propagation model for a region based on terrain data for the region.
Intelligent Ordering Of Repeated Fields, Gang Wang, Haskell Garon
Intelligent Ordering Of Repeated Fields, Gang Wang, Haskell Garon
Defensive Publications Series
Generally, the present disclosure is directed to choosing an optimal order for options within a repeated field. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal order for options within a repeated field based on interaction data with the repeated field.
Identifying Sources Of A Change In Metrics Of A Stack Of Servers, Kyle Loveless
Identifying Sources Of A Change In Metrics Of A Stack Of Servers, Kyle Loveless
Defensive Publications Series
Generally, the present disclosure is directed to identifying a source of a change in one or more metrics of one or more servers. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict contribution from a component within a stack of one or more servers based on one or more states of the component.
Automatically Scaling Multi-Tenant Machine Learning, Steven J. Ross, Christopher Olston, Noah Fiedel
Automatically Scaling Multi-Tenant Machine Learning, Steven J. Ross, Christopher Olston, Noah Fiedel
Defensive Publications Series
Generally, the present disclosure is directed to optimizing use of computing resources in a system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict task allocation for a job serving a plurality of machine-learned models based on current system state and queries per second (QPS) data for the plurality of models. Alternatively, the tasks can be allocated according to one or more rules (e.g., a new task is allocated to a job until the compute usage for the job falls below a scaling threshold). …