scholarly journals Sprayable User Interfaces: Prototyping Large-Scale Interactive Surfaces with Sensors and Displays

2020 ◽  
Author(s):  
Michael Wessely ◽  
Ticha Sethapakdi ◽  
Carlos Castillo ◽  
Jackson C. Snowden ◽  
Ollie Hanton ◽  
...  
Keyword(s):  
User Interfaces ◽  
Large Scale ◽  
Interactive Surfaces

Visiting Tourist Landmarks in Virtual Reality Systems by Real-Walking

2010 ◽  
pp. 180-193 ◽  
Author(s):  
F. Steinicke ◽  
G. Bruder ◽  
J. Jerald ◽  
H. Frenz
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Virtual Environment ◽  
User Interfaces ◽  
Large Scale ◽  
Three Dimensional ◽  
Interaction Space ◽  
Immersive Virtual Environments ◽  
Redirected Walking ◽  
Virtual City

In recent years virtual environments (VEs) have become more and more popular and widespread due to the requirements of numerous application areas in particular in the 3D city visualization domain. Virtual reality (VR) systems, which make use of tracking technologies and stereoscopic projections of three-dimensional synthetic worlds, support better exploration of complex datasets. However, due to the limited interaction space usually provided by the range of the tracking sensors, users can explore only a portion of the virtual environment (VE). Redirected walking allows users to walk through large-scale immersive virtual environments (IVEs) such as virtual city models, while physically remaining in a reasonably small workspace by intentionally injecting scene motion into the IVE. With redirected walking users are guided on physical paths that may differ from the paths they perceive in the virtual world. The authors have conducted experiments in order to quantify how much humans can unknowingly be redirected. In this chapter they present the results of this study and the implications for virtual locomotion user interfaces that allow users to view arbitrary real world locations, before the users actually travel there in a natural environment.

A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia

Geophysics ◽  
2019 ◽  
Vol 84 (3) ◽  
pp. F57-F71 ◽  
Author(s):  
Philipp A. Witte ◽  
Mathias Louboutin ◽  
Navjot Kukreja ◽  
Fabio Luporini ◽  
Michael Lange ◽  
...  
Keyword(s):  
User Interfaces ◽  
Code Generation ◽  
Large Scale ◽  
Waveform Inversion ◽  
Seismic Inversion ◽  
Linear Operators ◽  
Automatic Code Generation ◽  
Unknown Parameters ◽  
And Performance ◽  
Automatic Code

Writing software packages for seismic inversion is a very challenging task because problems such as full-waveform inversion or least-squares imaging are algorithmically and computationally demanding due to the large number of unknown parameters and the fact that waves are propagated over many wavelengths. Therefore, software frameworks need to combine versatility and performance to provide geophysicists with the means and flexibility to implement complex algorithms that scale to exceedingly large 3D problems. Following these principles, we have developed the Julia Devito Inversion framework, an open-source software package in Julia for large-scale seismic modeling and inversion based on Devito, a domain-specific language compiler for automatic code generation. The framework consists of matrix-free linear operators for implementing seismic inversion algorithms that closely resemble the mathematical notation, a flexible resilient parallelization, and an interface to Devito for generating optimized stencil code to solve the underlying wave equations. In comparison with many manually optimized industry codes written in low-level languages, our software is built on the idea of independent layers of abstractions and user interfaces with symbolic operators. Through a series of numerical examples, we determined that this allows users to implement a series of increasingly complex algorithms for waveform inversion and imaging as simple Julia scripts that scale to large-scale 3D problems. This illustrates that software based on the paradigms of abstract user interfaces and automatic code generation and makes it possible to manage the complexity of the algorithms and performance optimizations, thus providing a high-performance research and production framework.

scholarly journals Mesh processing for improved perceptual quality of 3D printed relief

2020 ◽  
Author(s):  
Yifan Yang ◽  
Yutaka Ohtake ◽  
Hiromasa Suzuki
Keyword(s):  
3D Printing ◽  
User Interfaces ◽  
Large Scale ◽  
Ease Of Use ◽  
Perceptual Quality ◽  
Triangle Mesh ◽  
3D Print ◽  
Mesh Processing ◽  
3D Printed

Abstract Making arts and crafts is an essential application of 3D printing. However, typically, 3D printers have limited resolution; thus, the perceptual quality of the result is always low, mainly when the input mesh is a relief. To address this problem using existing 3D printing technology, we only operate the shape of the input triangle mesh. To improve the perceptual quality of a 3D printed product, we propose an integrated mesh processing that comprises feature extraction, 3D print preview, feature preservation test, and shape enhancement. The proposed method can identify and enlarge features that need to be enhanced without large-scale deformation. Besides, to improve ease of use, intermediate processes are visualized via user interfaces. To evaluate the proposed method, the processed triangle meshes are 3D printed. The effectiveness of the proposed approach is confirmed by comparing photographs of the original 3D prints and the enhanced 3D prints.

Spatial User Interfaces for Large-Scale Projector-Based Augmented Reality

2014 ◽  
Vol 34 (6) ◽  
pp. 74-82 ◽  
Author(s):  
Michael R. Marner ◽  
Ross T. Smith ◽  
James A. Walsh ◽  
Bruce H. Thomas
Keyword(s):  
Augmented Reality ◽  
User Interfaces ◽  
Large Scale

Extending Ocean Drilling Pursuits [eODP]: Making Scientific Ocean Drilling Data Accessible Through Searchable Databases

2020 ◽  
Author(s):  
Andrew Fraass ◽  
Leah LeVay ◽  
Jocelyn Sessa ◽  
Shanan Peters
Keyword(s):  
User Interfaces ◽  
Large Scale ◽  
Ocean Drilling ◽  
Marine Sedimentation ◽  
Drilling Data ◽  
Working Groups ◽  
Age Model ◽  
International Ocean Discovery Program ◽  
Community Input ◽  
Derived Data

<p>Scientific ocean drilling through the International Ocean Discovery Program (IODP) and its predecessors, has a far-reaching legacy. They have produced vast quantities of marine data, the results of which have revolutionized many geoscience subdisciplines. Meta-analytical studies from these efforts exist for micropaleontology, paleoclimate, and marine sedimentation, and several outstanding resources have curated and made available elements of offshore drilling data (e.g., Neptune), but much of the data remain heterogeneous and dispersed. Each study, therefore, requires reassembling a synthesis of data from numerous sources; a slow, difficult process that limits reproducibility and slows the progress of hypothesis testing and generation. A computer programmatically-accessible repository of scientific ocean drilling data that spans the globe will allow for large-scale marine sedimentary geology and micropaleontologic studies and may help stimulate major advances in these fields.</p><p>The eODP project, funded through the NSF’s EarthCube program, seeks to facilitate access to, and visualization of, these large microfossil and stratigraphic datasets. To achieve these goals, eODP will be linking and enhancing the existing database structures of the Paleobiology Database (PBDB) and Macrostrat. This project is targeting shipboard drilling-derived data, but the infrastructure will be put in place to allow the addition of data generated post-cruise. eODP will accomplish the following goals: (1) enable construction of sediment-grounded and flexible age models in an environment that encompasses the deep-sea and outcrops; (2) expand existing lithology and age model construction approaches in this integrated offshore-onshore stratigraphically-focused environment; (3) adapt key microfossil data into the PBDB data model; (4) develop new API-driven web user interfaces for easily discovering and acquiring data; and (5) establish user working groups for community input and feedback. The success of eODP hinges upon interaction, feedback, and contribution of the scientific ocean drilling community, and we invite anyone interested in participating in this project to join the eODP team.</p>

scholarly journals The Networked Sensory Landscape: Capturing and Experiencing Ecological Change Across Scales

2017 ◽  
Vol 26 (2) ◽  
pp. 182-209 ◽  
Author(s):  
Brian Mayton ◽  
Gershon Dublon ◽  
Spencer Russell ◽  
Evan F. Lynch ◽  
Don Derek Haddad ◽  
...  
Keyword(s):  
Sensor Network ◽  
User Interfaces ◽  
Large Scale ◽  
Sensor Data ◽  
Musical Composition ◽  
Ecological Change ◽  
Ecological Processes ◽  
Spatial And Temporal Scales ◽  
Ubiquitous Sensing ◽  
Network Technologies

What role will ubiquitous sensing play in our understanding and experience of ecology in the future? What opportunities are created by weaving a continuously sampling, geographically dense web of sensors into the natural environment, from the ground up? In this article, we explore these questions holistically, and present our work on an environmental sensor network designed to support a diverse array of applications, interpretations, and artistic expressions, from primary ecological research to musical composition. Over the past four years, we have been incorporating our ubiquitous sensing framework into the design and implementation of a large-scale wetland restoration, creating a broad canvas for creative exploration at the landscape scale. The projects we present here span the development and wide deployment of custom sensor node hardware, novel web services for providing real-time sensor data to end user applications, public-facing user interfaces for open-ended exploration of the data, as well as more radical UI modalities, through unmanned aerial vehicles, virtual and augmented reality, and wearable devices for sensory augmentation. From this work, we distill the Networked Sensory Landscape, a vision for the intersection of ubiquitous computing and environmental restoration. Sensor network technologies and novel approaches to interaction promise to reshape presence, opening up sensorial connections to ecological processes across spatial and temporal scales.

scholarly journals WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs

2019 ◽  
Vol 47 (W1) ◽  
pp. W199-W205 ◽  
Author(s):  
Yuxing Liao ◽  
Jing Wang ◽  
Eric J Jaehnig ◽  
Zhiao Shi ◽  
Bing Zhang
Keyword(s):  
User Interfaces ◽  
Large Scale ◽  
Data Interpretation ◽  
R Package ◽  
Third Party ◽  
Gene Set Analysis ◽  
Functional Categories ◽  
User Friendliness ◽  
The Core ◽  
Gene Sets

Abstract WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases. To address the growing and unique need for phosphoproteomics data interpretation, we have implemented phosphosite set analysis to identify important kinases from phosphoproteomics data. We have completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures. To facilitate comprehension of the enrichment results, we have implemented two methods to reduce redundancy between enriched gene sets. We introduced a web API for other applications to get data programmatically from the WebGestalt server or pass data to WebGestalt for analysis. We also wrapped the core computation into an R package called WebGestaltR for users to perform analysis locally or in third party workflows. WebGestalt can be freely accessed at http://www.webgestalt.org.

Interactive Thermo-Fluid Simulation by Using Reduced Order Models

2013 ◽  
Author(s):  
Sachio Kobayashi ◽  
Hiroki Kobayashi ◽  
Hiroshi Ikeda ◽  
Masayoshi Hashima ◽  
Yuichi Sato
Keyword(s):  
User Interfaces ◽  
Large Scale ◽  
Computational Models ◽  
Stokes Equations ◽  
Simulation Method ◽  
Dimensional Subspace ◽  
Fluid Simulation ◽  
Reduced Order Models ◽  
Reduced Order ◽  
Advection Term

We present a new finite difference-based thermo-fluid simulation method by using reduced order models. Reduced order modeling technique is to project a high dimensional problem onto a lower dimensional subspace and then solve the problem in the reduced subspace. We solve the incompressible Navier-Stokes equations and the heat equation in their respective subspaces and join the two equations by projecting the advection term onto the joint reduced space. Our algorithm allows for fast thermo-fluid simulation of the large-scale computational models at a fraction of computational load. Our method shows more than one thousand times faster speed than usual mesh-based fluid simulation, while maintaining acceptable engineering accuracy. The real-time feature of our method enables interactive user interfaces for, e.g., assessing an immediate thermal field change in response to consecutive control of air-conditioning equipment in a data center.

scholarly journals CogTool+

2021 ◽  
Vol 28 (2) ◽  
pp. 1-38
Author(s):  
Haiyue Yuan ◽  
Shujun Li ◽  
Patrice Rusconi
Keyword(s):  
User Interfaces ◽  
Cognitive Modeling ◽  
Large Scale ◽  
User Authentication ◽  
Software Tool ◽  
Modeling Tools ◽  
Actual Performance ◽  
External Data ◽  
Scale Modeling ◽  
Large Scale Modeling

Cognitive modeling tools have been widely used by researchers and practitioners to help design, evaluate, and study computer user interfaces (UIs). Despite their usefulness, large-scale modeling tasks can still be very challenging due to the amount of manual work needed. To address this scalability challenge, we propose CogTool+, a new cognitive modeling software framework developed on top of the well-known software tool CogTool. CogTool+ addresses the scalability problem by supporting the following key features: (1) a higher level of parameterization and automation; (2) algorithmic components; (3) interfaces for using external data; and (4) a clear separation of tasks, which allows programmers and psychologists to define reusable components (e.g., algorithmic modules and behavioral templates) that can be used by UI/UX researchers and designers without the need to understand the low-level implementation details of such components. CogTool+ also supports mixed cognitive models required for many large-scale modeling tasks and provides an offline analyzer of simulation results. In order to show how CogTool+ can reduce the human effort required for large-scale modeling, we illustrate how it works using a pedagogical example, and demonstrate its actual performance by applying it to large-scale modeling tasks of two real-world user-authentication systems.

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