Digital Commons Network^™

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 …

Space Journey: Encouraging Astronomy Education And Space Exploration Through An Interactive Experiential Design Installation Of An Astronaut Training Program, Maria Gabriela Sanchez Angulo

Theses

Space journey is an interactive experiential design installation that explores the field of Astronomy and astronaut training programs, to encourage younger generations to follow scientific and astronomy education. This project explored, the boundaries of the interactive user experience along with projection design to learn, discover and experience using a gesture-based interface creating an immersive experience.

Astronomy as a scientific field, has always had a significant impact on the worldview, it explores the wonders of the universe and its countless celestial objects, through its multiples researches, it has been used to solve unknown questions about the evolution and it has been …

Combined Noncyclic Scheduling And Advanced Control For Continuous Chemical Processes, Damon Petersen, Logan D. R. Beal, Derek Prestwich, Sean Warnick, John Hedengren

Faculty Publications

A novel formulation for combined scheduling and control of multi-product, continuous chemical processes is introduced in which nonlinear model predictive control (NMPC) and noncyclic continuous-time scheduling are efficiently combined. A decomposition into nonlinear programming (NLP) dynamic optimization problems and mixed-integer linear programming (MILP) problems, without iterative alternation, allows for computationally light solution. An iterative method is introduced to determine the number of production slots for a noncyclic schedule during a prediction horizon. A filter method is introduced to reduce the number of MILP problems required. The formulation’s closed-loop performance with both process disturbances and updated market conditions is demonstrated through …

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. …

Virtual Notes: Projected Note-Taking System Design, Yiran Lu

Theses

Currently, traditional devices such as paper, notebooks and textbooks, and electronic devices such as computers and tablets, are the most common media people choose to take notes on. However, there is no device designed only for note-taking with full functionalities. The project Virtual Notes is designed for people to have a much better, effortless experience on taking notes. Implemented with projector, sensor and camera, Virtual Notes offers users a projected note-taking platform. With Virtual Notes, users can take notes on desks, paper or even textbooks without actually leaving a single mark.

The thesis project is undertaken independently and engaged in …

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

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 …

Patient-Provider Relationship And Perceived Provider Weight Bias Among American Indians And Alaska Natives, Kelly L. Gonzales, Ginny Garcia, Michelle M. Jacob, C. Muller, Lonnie A. Nelson, Spero M. Manson

OHSU-PSU School of Public Health Faculty Publications and Presentations

Objective The objective of this study was to examine patient–provider relationships among American Indians and Alaska Native (AI/AN) patients by examining associations between patient activation, perceived provider weight bias and working alliance. Patient activation is generally defined as having the knowledge, skills and confidence to manage one's health.

Methods Among a sample of 87 AI/AN adults presenting for general medical care at an urban clinic in the north-west region of the USA, ordinary least squares regression analysis was completed to examine associations.

Results Better working alliance scores were associated with increased patient activation, while perceived provider weight bias was associated …

Soundboard Scholar No. 3 (Complete)

Soundboard Scholar

No abstract provided.

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 …

Why Publishing Open Access, Michael Ladisch

Pacific Libraries Workshops

The benefits of Open Access publishing will be explained in this talk. The presenters will clarify the difference between Gold and Green OA, discuss funder requirements, and highlight our institutional repository.

• De-mystifying Open Access Benefits
• Funders requirement
• Gold vs. Green OA
• OA journals
• Open Data
• Institutional Repository

4th International Conference On Events (Ice) Conference Proceedings, Mathilda Van Niekerk, Ubaldino (Dino) Couto

4th International Conference on Events (ICE) 2017

Please feel free to download this copy of the Conference Proceedings.

Presenting Indications Of Alternative Search Results Associated With A Voice Query, Justin Lewis, Thomas Price

Defensive Publications Series

Disclosed herein is a mechanism for presenting indications of available alternative search results associated with a voice query. In response to receiving a voice query on a user device that instructs a system to cause a media content item to be presented on a particular media device (e.g., "play Artist A on bedroom television", the mechanism can parse the query to identify a group of candidate media content items each corresponding to a result in a group of results associated with the query and can assign a keyword to each of the results in the group of results. The mechanism …

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

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

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

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

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

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

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

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

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

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). …

Legal Precedent Mining With Machine Learning, Alexandros Salazar

Defensive Publications Series

Generally, the present disclosure is directed to gathering legal precedent from a corpus of law. 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 decision data from a court decision based on the court decision (e.g., a textual copy of the court decision).

Determining Validity Of A Point Of Interest Based On Existing Data, Melanie L. Donny-Clark, Jingyu Zhou, Shuang Qu

Defensive Publications Series

Generally, the present disclosure is directed to determining whether or not a point of interest is valid based on existing data. 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 likelihood of a point of interest being valid based on ‘clues’ gathered from existing data.

Extracting Point Of Interest Information From Query Logs, Melanie L. Donny-Clark, Jing Dai

Defensive Publications Series

Generally, the present disclosure is directed to extracting information about a point of interest from one or more query logs. 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 local intent for a query based on content of the query.

Correcting Image Anomalies Using Machine Learning, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to correcting anomalies in an image. 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 correct one or more anomalies in an image based on image data from an image.

Fitness Program For User-Defined Goals, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to a fitness program tailored to a user. 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 goal-oriented fitness program to a user based on user physiological and or fitness data.

User Interface And Application Programming Interface For Explaining Personalized Machine-Learned Model Outputs, N/A

Defensive Publications Series

Generally, the present disclosure is directed to systems and methods that enable explanation of personalized machine-learned model outputs. For example, the systems and methods of the present disclosure can include or leverage a user interface and/or an application programming interface (API) to enable explanation of model outputs. According to one aspect, the present disclosure provides a principled way of discovering which actions or range of actions that the user took contributed to a particular output that the model predicted at later time. This allows, for example, an application that employs the personalized model to describe to the user which actions …

Evaluate Presentation, Wendy Kozlowski, Heidi Imker

IASSIST & DCN - Data Curation Workshop

The Evaluate step to curate research data is explained in this presentation.