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At least 1,135 records · Page 63

Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Network

Language in social media is extremely dynamic: new concepts emerge, trend and disappear, while the meaning of existing concepts can fluctuate over time. This work addresses a novel task of measuring and predicting meaning shift – context or semantic representation change from surface level dynamics e.g., word frequencies observed in social media streams. We study the relationship between language dynamics and short-term context change on a corpus of VKontakte posts collected during the Russia-Ukraine crisis in 2014 – 2015. We train a neural network model to predict short-term shifts in meaning from previous meaning as well as word dynamics. We demonstrate that short-term representation shift can be accurately predicted up to several weeks in advance. Moreover, we visualize this short-term context shift for the example words and demonstrate the practical side of our approach to discover and track meaning of newly emerging terms in social media during crises.

distributional semantics, word embeddings, social ↗

Heat transfer and visual observation of pool boiling of next-generation low-pressure refrigerant: R1336mzz(Z)

R1336mzz(Z) is a non-flammable and non-toxic hydrofluoroolefin (HFO), which is a potential alternative working fluid for multiple applications such as centrifugal chillers, industrial high temperature heat pumps, and Organic Rankine Cycles. Pool boiling is one of the primary heat transfer modes in shell-and-tube evaporators, and there is limited data for R1336mzz(Z) due to its recent introduction. This study investigated the pool boiling characteristics of R1336mzz(Z) using a closed-loop apparatus. Heat transfer coefficients on a smooth aluminum surface were measured at various heat fluxes with a heating block, and the results were compared to predictions from various correlations. Additionally, a high-speed camera was employed to visualize and analyze the pool boiling behavior of this next-generation low-pressure refrigerant.

Yang, Cheng-Min [ORNL]↗

hectorui: A web-based interactive scenario builder and visualization application for the Hector climate model

In a world of increasingly online, distributed, and diverse interdisciplinary research, there is a need to provide accessible and user-friendly interactive visualization tools that elucidate complex models and their output products. Hector UI is an R Shiny web interface built to extend the simple global climate model Hector (Hartin et al. 2015), originally designed in C++ with an accompanying R interface. Traditionally, Hector has only had a command line interface available which requires fluency in C++ or R and a full understanding of Hector’s parameter space to run the model and create output. Hector UI provides a fast, efficient solution that makes the model more accessible to a broader user base. This implementation allows users that may not be fluent in R or C++ to interactively explore model scenarios and outputs in an easy to use, guided point and click interface.

97 MATHEMATICS AND COMPUTING↗

Development of a Visual Inspection Data Collection Tool for Evaluation of Fielded PV Module Condition

A visual inspection data collection tool for the evaluation of fielded photovoltaic (PV) modules has been developed to facilitate describing the condition of PV modules with regard to field performance. The proposed data collection tool consists of 14 sections, each documenting the appearance or properties of a part of the module. This report instructs on how to use the collection tool anddefines each attribute to ensure reliable and valid data collection. This tool has been evaluated through the inspection of over 60 PV modules produced by more than 20 manufacturers and fielded at two different sites for varying periods of time. Aggregated data from such a single data collection tool has the potential to enable longitudinal studies of module condition over time, technologyevolution, and field location for the enhancement of module reliability models.

14 SOLAR ENERGY↗

VCAT: Visual Crosswalk Analysis Tool [Slides]

VCAT is a knowledge modeling and analysis tool. It was synthesized from ideas in functional analysis, business process modeling, and complex network science. VCAT discovers synergies by analyzing natural language descriptions. Specifically, it creates visual analytic perspectives that capture intended organization structures, then overlays the serendipitous relationships that point to potential synergies within an organization or across multiple organizations.

97 MATHEMATICS AND COMPUTING↗

Analyzing and visualizing next generation climate data (Final Report)

The project "Analyzing and visualizing next generation climate data" adds block-structured (mosaic) grid support, parallel processing, and 2D/3D curvilinear interpolation to the open-source UV-CDAT climate data analysis tool. Block structured grid support complies to the Gridspec extension submitted to the Climate and Forecast metadata conventions. It contains two parts: aggregation of data spread over multiple mosaic tiles (M-SPEC) and aggregation of temporal data stored in different files (F-SPEC). Together, M-SPEC and F-SPEC allow users to interact with data stored in multiple files as if the data were in a single file. For computational expensive tasks, a flexible, multi-dimensional, multi-type distributed array class allows users to process data in parallel using remote memory access. Both nodal and cell based interpolation is supported; users can choose between different interpolation libraries including ESMF and LibCF depending on the their particular needs.

54 ENVIRONMENTAL SCIENCES↗

Visual inspection: a review of the literature

This report provides a review of 212 documents published in the visual inspection literature from the 1950s to the present. The inspection task is defined and characterized and trends in inspection research are reviewed. The prevailing two component model of inspection and various techniques to measure inspection performance are discussed. The majority of the report reviews the parameters that may impact inspection performance and describes the relevant findings from the literature. The report concludes with a re-iteration of the value of inspection research and a summary of the major recommendations for improving inspection performance.

See, Judi E.↗

Feature Extraction, Characterization, and Visualization for Protein Interaction via Geometric and Topological Methods (Final Technical Report)

Shape analysis plays an important role in many applications. In particular, in molecular biology, analyzing molecular shapes is essential to the fundamental problem of understanding how molecules interact. This project aims at developing efficient and effective algorithms to characterize and analyze molecular structures using geometric and topological methods. Two main components of this project are (1) developing novel molecular shape descriptors; and (2) identifying and representing meaningful features based on those descriptors. The project also produces accompanying (visualization) software. Results from this project (09/2006-10/2009) include the following publications. We have also set up web-servers for the software developed in this period, so that our new methods are accessible to a broader scientific community. The web sites are given below as well. In this final technical report, we first list publications and software resulted from this project. We then briefly explain the research conducted and main accomplishments during the period of this project.

59 BASIC BIOLOGICAL SCIENCES↗

Creating a Vibration Data Visualization and Analysis Graphical User Interface in Matlab [Poster]

Vibration testing in W-14 results in large amounts of data that need to be preprocessed before being used in reports or for model verification. It can take a large amount of time to accomplish simple, repetitive tasks on many channels of data. A Graphical User Interface (GUI) streamlines visualization and simple processing of the data to make the process faster as well as more intuitive. Simple editing methods, such as data segmentation and axis conversion, put the data in a form that can be easily moved into a more advanced modal analysis or data plotting package.

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEF↗

Recovery Act: Advanced Interaction, Computation, and Visualization Tools for Sustainable Building Design

Current building energy simulation technology requires excessive labor, time and expertise to create building energy models, excessive computational time for accurate simulations and difficulties with the interpretation of the results. These deficiencies can be ameliorated using modern graphical user interfaces and algorithms which take advantage of modern computer architectures and display capabilities. To prove this hypothesis, we developed an experimental test bed for building energy simulation. This novel test bed environment offers an easy-to-use interactive graphical interface, provides access to innovative simulation modules that run at accelerated computational speeds, and presents new graphics visualization methods to interpret simulation results. Our system offers the promise of dramatic ease of use in comparison with currently available building energy simulation tools. Its modular structure makes it suitable for early stage building design, as a research platform for the investigation of new simulation methods, and as a tool for teaching concepts of sustainable design. Improvements in the accuracy and execution speed of many of the simulation modules are based on the modification of advanced computer graphics rendering algorithms. Significant performance improvements are demonstrated in several computationally expensive energy simulation modules. The incorporation of these modern graphical techniques should advance the state of the art in the domain of whole building energy analysis and building performance simulation, particularly at the conceptual design stage when decisions have the greatest impact. More importantly, these better simulation tools will enable the transition from prescriptive to performative energy codes, resulting in better, more efficient designs for our future built environment.

99 GENERAL AND MISCELLANEOUS↗

Methodology for Augmenting Existing Paths with Additional Parallel Transects: Visual Sample Plan

Visual Sample Plan (VSP) is sample planning software that is used, among other purposes, to plan transect sampling paths to detect areas that were potentially used for munition training. This module was developed for application on a large site where existing roads and trails were to be used as primary sampling paths. Gap areas between these primary paths needed to found and covered with parallel transect paths. These gap areas represent areas on the site that are more than a specified distance from a primary path. These added parallel paths needed to optionally be connected together into a single path—the shortest path possible. The paths also needed to optionally be attached to existing primary paths, again with the shortest possible path. Finally, the process must be repeatable and predictable so that the same inputs (primary paths, specified distance, and path options) will result in the same set of new paths every time. This methodology was developed to meet those specifications.

54 ENVIRONMENTAL SCIENCES↗

Methodology for Defining Gap Areas between Course-over-ground Locations: Visual Sample Plan

Finding all areas that lie outside some distance d from a polyline is a problem with many potential applications. This application of the Visual Sample Plan (VSP) software required finding all areas that were more than distance d from a set of existing paths (roads and trails) represented by polylines. An outer container polygon (known in VSP as a “sample area”) defines the extents of the area of interest. The term “gap area” was adopted for this project, but another useful term might be “negative coverage area.” The project required a polygon solution rather than a raster solution. The search for a general solution provided no results, so this methodology was developed

54 ENVIRONMENTAL SCIENCES↗

Final Report for Phase II Study: Prototyping the Sketch Planning Visualization Tool for Non-Motorized Travel

To further examine how factors such as those identified from the Phase I NMT study, and the modeling framework developed under that effort could be applied to local/regional level planning activities, FHWA decided to pursue a Phase II study. It was determined that a small geographic area with more detailed local data would be necessary. Although Washington D.C. was not one of the 2009 NHTS add-ons, it did conduct a household travel survey of 11,000 households in 2007-2008. The National Capital Region Transportation Planning Board at the Metropolitan Washington Council of Governments (MWCOG) conducted the household travel survey. The data coverage under the MWCOG survey is much higher than that of the NHTS. As a part of the Phase II study, a prototype of a Geographic Information System (GIS)-based sketch planning visualization tool was also to be developed. The intent was to use a neighborhood in the Washington D.C. region as a case study for this prototype application.

97 MATHEMATICS AND COMPUTING↗

SDAV Visualization Area: Highlights at Los Alamos with HACC

The objectives of this project are to implement application-specific visualization and/ or analysis operators needed for in-situ use by LCF science codes; and to use PISTON to take advantage of multi-core and many-core technologies.

97 MATHEMATICS AND COMPUTING↗

Demonstration of a Novel Synchrophasor-based Situational Awareness System: Wide Area Power System Visualization, On-line Event Replay and Early Warning of Grid Problems

Since the large North Eastern power system blackout on August 14, 2003, U.S. electric utilities have spent lot of effort on preventing power system cascading outages. Two of the main causes of the August 14, 2003 blackout were inadequate situational awareness and inadequate operator training In addition to the enhancements of the infrastructure of the interconnected power systems, more research and development of advanced power system applications are required for improving the wide-area security monitoring, operation and planning in order to prevent large- scale cascading outages of interconnected power systems. It is critically important for improving the wide-area situation awareness of the operators or operational engineers and regional reliability coordinators of large interconnected systems. With the installation of large number of phasor measurement units (PMU) and the related communication infrastructure, it will be possible to improve the operators’ situation awareness and to quickly identify the sequence of events during a large system disturbance for the post-event analysis using the real-time or historical synchrophasor data. The purpose of this project was to develop and demonstrate a novel synchrophasor-based comprehensive situational awareness system for control centers of power transmission systems. The developed system named WASA (Wide Area Situation Awareness) is intended to improve situational awareness at control centers of the power system operators and regional reliability coordinators. It consists of following main software modules: • Wide-area visualizations of real-time frequency, voltage, and phase angle measurements and their contour displays for security monitoring. • Online detection and location of a major event (location, time, size, and type, such as generator or line outage). • Near-real-time event replay (in seconds) after a major event occurs. • Early warning of potential wide-area stability problems. The system has been deployed and demonstrated at the Tennessee Valley Authority (TVA) and ISO New England system using real-time synchrophasor data from openPDC. Apart from the software product, the outcome of this project consists of a set of technical reports and papers describing the mathematical foundations and computational approaches of different tools and modules, implementation issues and considerations, lessons learned, and the results of lidation processes.

24 POWER TRANSMISSION AND DISTRIBUTION↗

Visualization for Hyper-Heuristics: Back-End Processing

Modern society is faced with increasingly complex problems, many of which can be formulated as generate-and-test optimization problems. Yet, general-purpose optimization algorithms may sometimes require too much computational time. In these instances, hyperheuristics may be used. Hyper-heuristics automate the design of algorithms to create a custom algorithm for a particular scenario, finding the solution significantly faster than its predecessor. However, it may be difficult to understand exactly how a design was derived and why it should be trusted. This project aims to address these issues by creating an easy-to-use graphical user interface (GUI) for hyper-heuristics and an easy-to-understand scientific visualization for the produced solutions. To support the development of this GUI, my portion of the research involved developing algorithms that would allow for parsing of the data produced by the hyper-heuristics. This data would then be sent to the front-end, where it would be displayed to the end user.

97 MATHEMATICS AND COMPUTING↗

XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem (Mid-year report FY15 Q2)

The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.

97 MATHEMATICS AND COMPUTING↗

HPC Visualization [Poster]

A brief overview of the Los Alamos National Laboratory’s visualization capabilities and how projects benefits from these.

97 MATHEMATICS AND COMPUTING↗