A5059328010- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Research Data Management Practices
- Image Retrieval and Classification Techniques
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Image Processing and 3D Reconstruction
- Climate change and permafrost
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Remote Sensing in Agriculture
- Handwritten Text Recognition Techniques
- Smart Agriculture and AI
- Geographic Information Systems Studies
- Spectroscopy and Chemometric Analyses
- Medical Image Segmentation Techniques
- Atmospheric and Environmental Gas Dynamics
- Advanced Image and Video Retrieval Techniques
- Virtual Reality Applications and Impacts
- Cryospheric studies and observations
- Digital and Traditional Archives Management
- Mesenchymal stem cell research
- Indigenous Studies and Ecology
- SARS-CoV-2 detection and testing
- 3D Shape Modeling and Analysis
National Center for Supercomputing Applications
2014-2024
University of Illinois Urbana-Champaign
2014-2024
Boise State University
2024
Engineering Software Research and Development (United States)
2022
Impact
2022
University of Illinois Chicago
2021
University of Illinois System
2021
National Center for Supercomputing Applications
2014-2020
University of Miami
2016
Abstract Terrestrial biosphere models are designed to synthesize our current understanding of how ecosystems function, test competing hypotheses ecosystem function against observations, and predict responses novel conditions such as those expected under climate change. Reducing uncertainties in can improve both basic scientific predictive capacity, but rarely employed the design field campaigns. We provide a synthesis carbon cycle uncertainty analyses conducted using Predictive Ecosystem...
This paper assesses trending AI foundation models, especially emerging computer vision models and their performance in natural landscape feature segmentation. While the term model has quickly garnered interest from geospatial domain, its definition remains vague. Hence, this will first introduce defining characteristics. Built upon tremendous success achieved by Large Language Models (LLMs) as for language tasks, discusses challenges of building artificial intelligence (GeoAI) tasks. To...
Abstract Significant investments to upgrade and construct large-scale scientific facilities demand commensurate in R&D design algorithms computing approaches enable engineering breakthroughs the big data era. Innovative Artificial Intelligence (AI) applications have powered transformational solutions for challenges industry technology that now drive a multi-billion dollar industry, which play an ever increasing role shaping human social patterns. As AI continues evolve into paradigm...
This paper addresses the problem of finding glass objects in images. Visual cues obtained by combining systematic distortions background texture occurring at boundaries transparent with strong highlights typical surfaces are used to train a hierarchy classifiers, identify edges, and find consistent support regions for these edges. Qualitative quantitative experiments involving number different classifiers real images presented.
This paper addresses the problem of finding objects made glass (or other transparent materials) in images. Since appearance depends for most part on what lies behind them, we propose to use binary criteria ("are these two regions same material?") rather than unary ones ("is this glass?") guide segmentation process. Concretely, combine complementary measures affinity between material and discrepancy different into a single objective function, geodesic active contour framework minimize...
Clowder is an open source data management system to support curation of long tail and metadata across multiple research domains diverse types. Institutions labs can install customize their own instance the framework on local hardware or remote cloud computing resources provide a shared service distributed communities researchers. Data be ingested directly from instruments manually uploaded by users then with collaborators using web front end. We discuss some challenges encountered in...
This article introduces the absolute quadratic complex formed by all lines that intersect conic. If /spl omega/ denotes 3 times/ symmetric matrix representing image of conic under action a camera with projection P, it is shown ap/ P/sup ~//spl Omega//sub I.bar//P/sup ~T/ where V 6 line associated P and I.bar// rank complex. simple relation between camera's intrinsic parameters, its expressed in projective coordinate frame, metric upgrade separating this frame from one - as respectively...
In this paper, we present a data acquisition and analysis framework for materials-to-devices processes, named 4CeeD, that focuses on the immense potential of capturing, accurately curating, correlating, coordinating digital in real-time trusted manner before fully archiving publishing them wide access sharing. particular, 4CeeD consists novel services: curation service collecting from microscopes fabrication instruments, wrapping with extensive metadata manner, cloud-based coordination...
Modern research in the sciences, engineering, humanities, and other fields depends on software, specifically, software. Much of this software is developed universities, by faculty, postdocs, students, staff. In paper, we focus role university We examine three different, independently-developed models under which these staff are organized perform their work, comparatively analyze consequences considering how different support engineering practices processes. This information can be used...
We present Brown Dog, two highly extensible services that aim to leverage any existing pieces of code, libraries, services, or standalone software (past present) towards providing users with a simple use and programmable means automated aid in the curation indexing distributed collections uncurated and/or unstructured data. Data such as these encompassing large varieties data, addition amounts pose significant challenge within modern day "Big Data" efforts. The Access Proxy (DAP) Tilling...
Renal biopsies form the gold standard of diagnostic and prognostic assessments renal transplants. With addition new quantitative strategies to supplement biopsy interpretation such as gene array metabolomics, capability incorporate all measures for clinical will require multi-dimensional analyses. Currently, are analyzed manually; features pathology observed on limited hand counts. Standardized, automated detection in a kidney transplant enable input these digital images alongside other...
This paper presents (a) new technologies for real-time immersion of humans into virtual reality (VR) environments with non-invasive three-dimensional (3D) imaging, (b) a methodology evaluating immersive VR spaces in rehabilitation applications, and (c) experimental results documenting the benefits Immersive (IVR) regaining proprioception. Our work focuses on designing multimedia sensory inputs where real time digital clones are fused scenes purposes. We hypothesize that proprioceptive...
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrophysics, with a particular emphasis on real-time discovery campaigns. Acknowledging transdisciplinary nature this document has been prepared by members physics, astronomy, computer science, data software cyberinfrastructure communities who attended NSF-, DOE- NVIDIA-funded "Deep Learning for Astrophysics: Real-time...
This paper addresses the problem of designing a universal file format converter. File conversion is necessary part data dissemination and curation. Complete robust converters however are hard to find build due abundance formats, fact that many formats closed, complexities within individual specifications. On other hand software applications exist capable performing some degree between subset available formats. To take advantage this we introduce structure called an I/O-Graph store input...
We describe our efforts with the National Archives and Records Administration (NARA) to provide a form of automated search handwritten content within large digitized document archives. With growing push towards digitization paper archives there is an imminent need develop tools capable searching resulting unstructured image data as from such collections offer valuable historical records that can be mined for information pertinent number fields geosciences humanities. To carry out search, we...
As software has become more essential to research across disciplines, and as the recognition of this fact grown, importance professionalizing development maintenance also increased. The community professionals who work on have come together under title Research Software Engineer (RSE) over last decade. This led formalization RSE roles organized groups in universities, national labs, industry. This, turn, created need understand how RSEs into profession these groups, further promote career...
The growing size of high-value sensor-born or computationally derived scientific datasets are pushing the boundaries traditional models data access and discovery. Due to their size, these often accessible only through systems on which they were created. Access for exploration reproducibility is limited file transfer by applying used store generate original data, infeasible. There a trend toward providing large-scale research in-place via container-based analysis environments. This paper...
Brown Dog is a data transformation service for auto-curation of long-tail data. In this digital age, we have more available analysis than ever and trend will only increase. According to most estimates, 70--80% unstructured, together with unsupported formats inaccessible software tools, in essence, not either easily accessible or usable its owners meaningful way. aims at making by indexing, leveraging existing novel tools. paper, discuss the recent major component improvements including tools...
In this paper we describe a Software Server, background process that in conjunction with central repository of lightweight wrapper scripts allows functionality within heterogeneous software to be called simple and consistent manner. The key role the Server is provide common interface manner can programmed against, essence re-introducing an API compiled code. Using Java restlet framework, Restful consisting URL endpoints allowing any programming/scripting language capable accessing URLs...
This paper addresses the workshop question: "Can data generated from infancy of digital age be ingestible by software today?" We have prototyped a set e-services that serve as framework for understanding content preservation, automation and computational requirements on preservation electronic records. The consists (a) finding file format conversion software, (b) executing conversions using available (c) evaluating information loss across conversions. While target audience technology is US...