Digital Commons Network^™

Wave-Measuring Performance Characteristics Of Spoondrift Spotter, K. Raghukumar, G. Chang, F. Spada, C. Jones, W. Gans, T. Janssen

Ocean Waves Workshop

Spoondrift Spotter represents a state-of-the-art wave measurement buoy developed by Spoondrift (www.spoondrift.co) and supported by funding from the Advanced Research Projects Agency – Energy (ARPA-E). A low-cost buoy platform like Spotter enables a range of new applications. For instance, coherent arrays of Spotters can support adaptive tuning of marine and hydrokinetic energy devices. In general, the availability of high-fidelity wave measurements can help support wave assessments for a variety of commercial, military, operational, academic, and recreational users.

Session 4 Presentation - Improved Coastal And Nearshore Wave Forecasting, Jeffrey Hanson, Robert Fratantonio

Ocean Waves Workshop

Accurate nearshore and coastal wave forecasts are essential for the protection of life and property as well as enhancing the economy through safe and efficient commercial activities. Modeling the nearshore environment has remained both computationally intensive and challenging due to the strong interaction of waves with the ocean bottom in shallow water environments. Here we develop a new wave system approach for nearshore wave modeling that addresses these issues. Wave systems result from specific wind forcing events on the ocean surface. This approach extends earlier work on wave system partitioning and tracking to assimilate coastal buoy observations into model output …

Session 3 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Real-Time Wave Assimilation Using Low-Cost Sensor Arrays (Extended Abstract), Pieter Smit, Tim Janssen, Cameron Dunning, Wheeler Grans

Ocean Waves Workshop

In this paper we present the underlying theory and principal results from a new real-time data-assimilation system in which we integrate a dense network of Spotters. The sensor network was deployed as part of the ONR Innershelf DRI experiment during the period from September 2017 till November 2017. The array consists of 18 Spotters, deployed seaward of Point Sal (California) along the 20-, 50- and 100-meter depth contours (Fig. 1). Each of these buoys provides estimates of the complete frequency-directional spectrum every hour. The wave spectra and directional moments are assimilated in real-time using an efficient backward raytracing algorithm to …

Meeting Minutes, Wku Graduate Council

Graduate School

Meeting minutes.

Smart-Voice Invocation Of Scenes In Home-Automation Systems, Daniele Midi, William Schilit, Tianchun Yang

Defensive Publications Series

Home environments are rapidly becoming more and more automated via the use of voice-recognizing personal assistants. Home-automation systems using a voice-recognizing personal assistant are capable of configuring smart devices of a home, such as lighting, security systems, or environmental controls, to particular operational settings which, when aggregated across multiple smart devices, constitute a particular scene. Techniques for a home-automation system to configure, or “set”, a scene using smart-voice invocation are described.

Making Sense With Manipulatives: Developing Mathematical Experiences For Early Childhood Teachers, Cara E. Furman

Education and Culture

This paper is premised on the fact that math can be an important tool in helping people make sense of the world. Math offers a unique and particular lens, helping people to focus on a range of characteristics from shape and amount to the relationship between the general and the particular. To promote math as a tool for making sense, early childhood math instruction ought to teach it in a manner that helps children make sense of mathematical concepts.

Specifically, I argue here that manipulatives are often brought into the early childhood classroom to promote “hands-on” learning without facilitating making …

The Mindfulness Practice, Aesthetic Experience, And Creative Democracy, Kyle A. Greenwalt, Cuong H. Nguyen

Education and Culture

In this paper, we explore the degree to which the Buddhist mindfulness practice and the habits of democratic citizenship can be reconstructed in light of each other. We ask what mindfulness is, seeking to first understand it in its Buddhist context. Then we turn to the work of John Dewey in order to seek possibilities for mutual reconstruction. Finally, we ask how we can reconcile mindful acceptance of the present with the ameliorative habits of the democratic citizen—and what this might mean for a reconstructed progressive education practice.

John Dewey And Citizen Politics: How Democracy Can Survive Artificial Intelligence And The Credo Of Efficiency, Harry C. Boyte

Education and Culture

No abstract provided.

The Continuing Challenge Of Progressive Thought: Lessons From A College In Prison, Ellen Condliffe Lagemann

Education and Culture

No abstract provided.

Editor’S Note, David Granger

Education and Culture

No abstract provided.

Session 3 Presentation - An Overview Of Recent Wave Glider® Field Program, Pat Fitzpatrick, Yee Lau, Robert Moorhead, Adam Skarke, Daniel Merritt, Keith Kreider, Chris Brown, Ryan Carlon, Graham Hine, Teri Lampoudi, Alan Leonardi

Ocean Waves Workshop

Developed by Liquid Robotics, Inc., Wave Gliders® (WGs) use wave energy for propulsion through the synergistic alternating thrust of wave action on the floating vehicle and mechanical wings 6 m below the vehicle. WGs provide dynamic environmental monitoring in the maritime environment with weeks-tomonths-long deployments using solar panels to power sensors, and satellite and cell communication channels for data delivery. Some data is transmitted real-time or in bulk at more infrequent intervals, while other data is archived on-board for extraction after a mission.

Example field programs include: wave, ocean, and PBL measurements in tropical cyclones; algae bloom monitoring; satellite ground …

Nanotechnology-Based Approaches For Imaging And Therapy, Charalambos Kaittanis

Amgen Seminar Series in Chemical Engineering

Improved therapeutics and diagnostic tools are needed in the clinic, contributing towards better treatment and survivorship. During this presentation, we will discuss how nanoparticle-based tools can support decision-making through imaging, and provide new insights on how nanoparticles interact with their environment. Overall, we will explore how nanoparticles can serve as sensitive probes, as well as translational platforms for personalized medicine.

Session 2 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Overview Of Open Source Codes To Assess Environmental Effects Of Ocean Wave Farms (Extended Abstract), Chris Chartrand, Kelley Ruehl, Jesse Roberts, Aaron Porter, Cameron Mcnatt

Ocean Waves Workshop

The United States has a theoretical ocean wave energy resource potential of 1,594–2,640 TWh/year, enough to power between 143.5 and 237.6 million homes/year and contribute substantially to the United States’ energy portfolio [1]. However, wave energy converters (WECs) are currently in the early stages of research and development at low technology readiness levels. Open ocean deployment data is from demonstration-scale projects, not from utility-scale deployments. As a result, researchers, developers, and regulators rely heavily on numerical models to understand the environmental effects of wave farms.

Preliminary numerical studies have demonstrated that small-scale deployments of ~10 WECs or less have little …

Domain Restricted Secure Podcasts, Dustin Beutin

Defensive Publications Series

This disclosure describes techniques to securely provide access to audio files across desktop and mobile devices. The audio files, e.g., audio recordings that are part of a podcast, are converted to multimedia files of similar filesize. The converted files, which can optionally include a graphic related to the audio, are uploaded to secure, view-only cloud storage and configured for access by selected users, e.g., users within a particular domain. Access to the files is provided by a widget that can enable users to play the audio via any desktop or mobile device that can access the cloud storage service.

Session 2 Presentation - A New Generation Of Spectral Wave Models, Don Resio, Dorukan Ardag, C. Reid Nichols

Ocean Waves Workshop

Over the last decade, considerable effort has been spent on the evaluation of operational wave models such as the WAM, WAVEWATCH III, and SWAN thirdgeneration (3G) model. Most recent effort has focused on a “wholistic” approach to model evaluation, rather than on related comparisons directly to physics-based processes. In such an approach, model coefficients are tuned to maximize the global fit to integrated wave parameters such as wave height, mean/peak period, mean direction and directional spreading [1]. However, these coefficients do not ensure a universal “best-fit” to observation. Also, comparisons to spectra are omitted from the model evaluations since they …

Proximity-Based Single-Tap Meeting Room Selection, Xavier Lepaul, Josefin Karlsson, Carolina Sartorius, Megan Boundey, Alex Usbergo

Defensive Publications Series

A meeting participant can join a scheduled or ad-hoc meeting from a conference room by manual entry of a meeting code into meeting room audio or video conferencing equipment. This is a tiresome and error-prone process that requires multiple steps. This disclosure describes techniques that enables users to join a meeting at a nearby conference room using a simple user interface. With user permission, a mobile device of the user determines user proximity to a conference rooms based on signals transmitted by conference rooms. The identity of the available conference room(s) is used to generate and present a user interface …

Machine Learning For Hardware Simulation, N/A

Defensive Publications Series

Generally, the present disclosure is directed to improving hardware simulation through 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 hardware test results based on data extracted from hardware.

Injection Molding Eyepieces For Head Mounted Display, Hongqin Shi, Yeh-Jiun Tung

Defensive Publications Series

A technique is provided for manufacturing eyepieces for a head mounted display by forming the eyepiece in two parts: a coated, smaller insert part with a first coating (e.g. chiolite), and a second, larger supporting part with an opening or gap for the coated smaller part. The inset and supporting parts are formed from an eyepiece material via injection molding, and the inset part is then coated with the first coating. The inset is inserted into the gap of the supporting part, and the two parts are cast with an index matching material. The casting forms a front and back …

Contextual Advertising Based On Content Recognition In A Video, Jason Mayes

Defensive Publications Series

Generally, the present disclosure is directed to providing relevant advertisements based on the visual content of a video. 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 determine a relevant advertisement and/or a relevant time for the relevant advertisement based on image data taken from a video.

Identifying And Categorizing Utility Power Anomalies, N/A

Defensive Publications Series

Generally, the present disclosure is directed to predicting utility power anomalies such as, for example, outage events. 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 utility power anomalies based on historical and/or current utility power data.

Consistent Hashing For Generating Protobuf Field Numbers, Tomasz Madejski, Rob Shakir

Defensive Publications Series

To convert a YANG-based model into a protobuf format, a unique field identification numbers needs to be assigned to each node in the YANG schema tree. Field identification numbers can be generated by calculating a numeric hash of characteristics of the YANG schema node; for example, its identifier or schema tree path. The resulting hash values provide backwards compatible field identification numbers suitable for protobuf field numbers.

Recognizing Semantic Formatting Information In A Document, N/A

Defensive Publications Series

Generally, the present disclosure is directed to recognizing semantic intent from formatting information. 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 the intent of an author for a section (e.g., a word, sentence, line, column and/or paragraph) of a document based on the formatting information of that section of the document.

Suggesting Deletion Of Blurry Photos, Charles Lai, Nicolas Miranda

Defensive Publications Series

Generally, the present disclosure is directed to identifying and suggesting deletion of blurry photos. 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 blurriness characteristic of an image based on image data. For example, the blurriness characteristic can describe a percentage of the image that is blurry.

Learning Better Font Slicing Strategies From Data, Quan Wang, Yiran Mao

Defensive Publications Series

Generally, the present disclosure is directed to serving font files in topical subsets. 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 topic labels of characters in a font based on a corpus of characters or glyphs.

Session 1 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Using Imagery Of Vegetation And Rooftops To Predict Solar Roof Candidacy, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to predicting whether a property can be conducive to solar energy system installation with minimal adjustment to peripheral vegetation. 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 whether a property can be conducive to solar energy installation with minimal adjustment to peripheral vegetation based on imagery and/or publicly available or user-submitted information about the property or area surrounding the property.

Using Imagery To Identify Abandoned Property In Public Spaces, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to identifying private property that has been illegally dumped or stored for a prolonged period without use. 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 whether an item has been abandoned in a public right-of-way based on imagery of the item and record of public right-of-way.

System Volume Compensating For Environmental Noise, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to an audio system for compensating for ambient environmental noise. 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 comfortable volume level based on an intensity of ambient noise.