Digital Commons Network^™

Full Issue, The Anthology

The Anthology

This is the entirety of the 2017 Winthrop Anthology issue.

Generating Travel Itineraries Based On User Interests, David Parkinson

Defensive Publications Series

Generally, the present disclosure is directed to generating a travel itinerary for a user based on the user’s interests. 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 interest of a user and generate a travel itinerary based on user preferences and interests.

Identifying Hold State In An Automated Calling System, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying that a caller is on hold or has been removed from hold when calling a calling system such as, for example, an automated calling 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 that a hold state has changed (e.g. a caller has been placed on hold or has been taken off hold) based on call data from a call.

Session 1 Presentation - Use Of Offshore Energy Facilities As Deepwater Ocean Observing Platforms, Jeffrey Morin, Pak Leung, Ruth Mullins Perry, Eoin Howlett, Armen-Sjur Minassian, Rudy Poulos

Ocean Waves Workshop

Wave measurement is one of the major components for any ocean observation program, however, it is also the most challenging one due to its complexity. For Oil & Gas community, wave data is often used for platform stability calculation, operational decision making, structure fatigue analysis, and engineering design criteria.

Wavemaker Improvements At The University Of New Orleans Towing Tank, Ryan D. Thiel

Ocean Waves Workshop

No abstract provided.

Machine Learning To Determine Type Of Vehicle, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to determining the vehicle type of a vehicle (e.g. for use in vehicle navigation). 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 a vehicle type of a vehicle based on vehicle data relating to the operation and/or capacity of a vehicle.

Machine Learning To Identify Vehicle Maintenance Needs, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying maintenance needs for a vehicle. 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 vehicle maintenance needs for a vehicle based on vehicle data from the vehicle.

Identifying Energy Overconsumption Based On Ambient Noise Audio Signatures, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying energy overconsumption in a device. 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 a device is in a state of energy overconsumption based on ambient noise data and electricity throughput.

Image Moderation Using Machine Learning, Dave Feltenberger, Rob Neuhaus

Defensive Publications Series

Generally, the present disclosure is directed to moderating images using machine learning. 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 a probability that an image will be accepted and/or rejected according to one or more rules of a submission service based on image data from the image.

Machine Learning For Accurate Battery Run Time Prediction, Liang Jia

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to manage state of charge of a battery. 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 future energy consumption and optimal charging rate of a battery based on battery characteristics and expected user routine.

Removing Breathing Artifacts From Audio, N/A

Defensive Publications Series

Generally, the present disclosure is directed to removing breathing artifacts from audio. 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 a clean audio sample based on audio data from the audio sample.

Configuring Music Variation In A Music Compilation, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal level of music variation in an assortment of music such as, for example, a music streaming service. 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 level of music variation based on historical level of music variation preferences and/or listening data.

Discovering Employment Listings From Imagery, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to discovering employment listings from imagery. 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 identify employment listings based on image data.

Stylizing Map Based On Examples Of Representative Styling, Joshua Schpok

Defensive Publications Series

Generally, the present disclosure is directed to stylizing a map based on one or more examples of representative styling. 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 map styling rules based on one or more examples of representative styling.

Bioluminescent Sensing Systems For Cytokines And Cancer Biomarker Detection, Xiaowen Yu

Open Access Dissertations

Bioluminescence is the generation of light through a natural oxidation chemical reaction, thus eliminating the need for an external light source which eliminates background fluorescence. This results in higher signal-to-noise ratio when compared to fluorescence, making it suitable for use as a label in ultra-sensitive detection applications. Herein, a multiplexed assay to measure three analytes simultaneously in a single solution by employing the variants of the photoprotein aequorin (AEQ) has been demonstrated. Aequorin, natively found in jellyfish Aequorea victoria, can emit a flash-type light at 469 nm with a half-life around 0.5-1 s after the binding of calcium ions (Ca2+). …

Design Students Match Up Against Peers In State Competition, Winthrop University

Winthrop News 2017

• Faculty member Jesse Weser submitted to a professional design organization show class projects by student Ashley Cook of Greenwood, South Carolina, Savannah Ray of Rock Hill and Wesley Fry of Greenville, South Carolina.
• The competition, called InShow 22, is held annually for professional and student designers.

The Five Hundred And Forty-Fourth Report Of The Curricular Affairs Committee: Curricular Proposals, University Of Rhode Island Faculty Senate

Faculty Senate Bills

No abstract provided.

Curricular Report No. 2017-18-4 From The Graduate Council To The Faculty Senate: Curricular Changes, University Of Rhode Island Faculty Senate

Faculty Senate Bills

No abstract provided.

Turning Apathy To Ambition: Strategies For Countering Student Disinterest, Jared Bryan

Tutor's Column

Apathetic students – those who do not care enough about writing to engage in a session - are some of the hardest to tutor. Their reluctance to engage with the tutor is often the result of a perceived lack of connection between their personal interests and the topic they are writing about, or even writing in general. The connection between writing and STEM fields, for example, is not often readily apparent; the necessity of written communication in one form or another is often lost in the theory and technical skills that dominate the major. This reduces the problem of inspiring …

Curricular Report No. 2017-18-4 From The Graduate Council To The Faculty Senate, University Of Rhode Island Faculty Senate

Faculty Senate Bills

No abstract provided.

Western News, December 7, 2017, Western Michigan University

Western News (1972-2018)

Story highlights: South Neighborhood to be redeveloped; Planning underway for annual MLK celebration; New web service makes finding funding opportunities easier; On Campus with with Bethany Gauthier.

Educational Policies Committee Agenda, December 7, 2017, Utah State University

Educational Policies Committee

• Curriculum Subcommittee
• Course approvals
• Program proposals
• Academic Standards Subcommittee
• General Education Subcommittee

12/07/2017 Obituary Records, Hawaii Obituaries

Obituaries

List of Obituaries for individuals who passed away on 12/07/2017. Scroll down to see the names and obituary description.

Educational Policies Committee Minutes, December 7, 2017, Utah State University

Educational Policies Committee

• Subcommittee Reports
• Curriculum Subcommittee
• Course Approvals
• Program Proposals
• Academic Standards Subcommittee
• General Education Subcommittee

2017 Fall Engr333 Seminar Preservation, Trevor Nyeholt, Erik Karlson, Cam Richman, Tyson Butler

ENGR 333

File for student presentation, given by students in the Fall 2017 class of ENGR333.

2017 Fall Engr333 Poster (Section B), Eric Ball, Mitchell Debruin, Raymond Kolocek, Edwin Kpodzro, Jacob Vandekieft, Nate Anderson, Brennan Steenhoek, Darbi Meyer, Derek Vermerris, Jessica Bouma, Devon Loerop, Reuben Saarloos, Richard Amoh, Matthew Boelens, Tyson Butler, Laura Van Winkle, Alex Keizer, Kwame Ohemeng, Cameron Richman, Julie Van De Riet

ENGR 333

Previously, Calvin College had a cogeneration system with the purpose of generating electricity and heat, through the combustion of natural gas, for Calvin’s campus. The original co-gen system was removed in 2017 due to high costs associated with maintenance and operations. Without a co-gen system, Calvin College is fully dependent on the grid. To save money and help in the President’s Carbon Commitment, PCC, the mechanical engineering students of ENGR 333 (section B) propose the implementation of a new co-gen system.

The Minutes Of The Marshall University Faculty Senate Meeting, December 7, 2017, Marshall University Faculty Senate

Faculty Senate Minutes

No abstract provided.

2017 Fall Engr333 Poster (Section A), Trevor Nyeholt, Francis Kapesa, Justin Thalmayer, Erik Karlson, Kyle Van Veen, Kirk Brink, Steven Tarske, Brent Homan, Nathan De Haan, Paul Bootsma, Megan Anders, Philip Holmes, Melanie Fox, Noah Pirrotta, Abigail Berkompas, Ben Wellman, Halley Press, Christopher Greaves, Josh Templeman, Tim Bosch, Jake Zandstra, Hendrik Vermeulen

ENGR 333

Calvin College uses 161,000 MMBTU of natural gas per year, which correlates to $836,000 of annual expenses. However Calvin could save as much as $240,000 on natural gas if they were as efficient as the top performer in an energy audit of similar colleges and universities in the Midwest, conducted by Sightlines Institute. The goal of this project was to see what actions could be taken to save the college $75,000 in annual natural gas costs.

Role Of Basic Research Should Be Fully And Effectively Played During Organization And Implementation Of R&D Programs In National Science-Technology Field, Xiao Weigang

Bulletin of Chinese Academy of Sciences (Chinese Version)

This paper starts from the demands of technological innovation, expounds the interrelation between basic research and engineering development, analyzes the shortage of effective link-up between the two above at present in China, the team of engineering development cannot get a deep understanding of the mechanism of the key technical details for a long time while the team of basic research cannot get deepintervention of the key technical details during the program implementation. In order to effectively implement national program, we all should pay great attention to the operating efficiency of basic research. To solve the problem from the root, top-level …

Optimal Transfer Point Locations In Two-Stage Distribution Systems, Jeffrey A. Mcdougall, Luis Daniel Otero

Electrical Engineering and Computer Science Faculty Publications

Limited range of emerging delivery vehicles, speci cally unmanned aerial systems, creates gaps in last mile retail distribution networks and excludes signi cant numbers of potential customers. Implementing a two-stage distribution process is one approach that eliminates this de cit. However, dispatchers must load the vehicles hauling orders in the initial stage of the process and assign orders for delivery to transfer points in a way that ensures timely arrival while utilizing only the minimum required resources. This paper investigates the capacitated transfer point covering problem which has, until now, been unstudied. The research proposes a mathematical programming model to …