18 research outputs found
GeoWorlds: Integrating GIS and digital libraries for situation understanding and management
No full textHelping organizations to marshal, analyze, discuss, and act on all of the available information about a situation playing out over space and time is a critical problem. GeoWorlds (http://www.isi.edu/geoworlds) is a component-based information management system that addresses this issue. It brings together information analysis, retrieval and collaboration tools and integrates digital library, geographic information systems (GIS), and remote sensor data management technologies. It provides three key services: 1) rapidly assembling a custom repository of geographic information about a region, 2) bi-directionally linking it to collections of document-based information from the World-Wide Web, and 3) monitoring real-time sensor data for information that might change conclusions or decisions formed on the basis of this rich information set. GeoWorlds framework enables synchronous and asynchronous collaboration over finding, filtering, organizing and visualizing the needed information
GeoWorlds: A Geographically Based Information System for Situation Understanding and Management
No full textAccelerating Machine Learning Queries with Linear Algebra Query Processing
No full textThe rapid growth of large-scale machine learning (ML) models has led numerous commercial companies to utilize ML models for generating predictive results to help business decision-making. As two primary components in traditional predictive pipelines, data processing, and model predictions often operate in separate execution environments, leading to redundant engineering and computations. Additionally, the diverging mathematical foundations of data processing and machine learning hinder cross-optimizations by combining these two components, thereby overlooking potential opportunities to expedite predictive pipelines. In this paper, we propose an operator fusing method based on GPU-accelerated linear algebraic evaluation of relational queries. Our method leverages linear algebra computation properties to merge operators in machine learning predictions and data processing, significantly accelerating predictive pipelines by up to 317x. We perform a complexity analysis to deliver quantitative insights into the advantages of operator fusion, considering various data and model dimensions. Furthermore, we extensively evaluate matrix multiplication query processing utilizing the widely-used Star Schema Benchmark. Through comprehensive evaluations, we demonstrate the effectiveness and potential of our approach in improving the efficiency of data processing and machine learning workloads on modern hardware.Web Information System
Threshold behavior in a Boolean Network model for SAT
No full textsanp3px y (SAT)is the canonical NP-com lete roblem that lays an im ortant role in AI and has many ractical a lications in Com uter Science in general. Boolean networks (BN) are dynamicals ysmic that have recently been roos as an algorithm forsrp3 SATroblems [7]. We have carried out a detailed inves37px3 of the dynamical roerties of BNcorres onding to random SAT roblems of di#erents ize. We varied the roblemsbl by changing the number of variables and the number of claus7 in the Boolean formula
Toward FAIR Knowledge Turns in Bioinformatics
No full textSharing of bioinformatics data within research communities holds the promise of facilitating more rapid discovery, yet the volume of data is growing at a pace exponentially greater than what traditional biocuration can support. We present here an approach that we have used to empower data producing researchers to curate high quality shared data that is ready for reuse and re-analysis
Role of the Ponderomotive Energy in 2-color Photodetachment of An Ion
No full textWe study, within a time-independent framework, the photodetachment of an ion by a weak high-frequency field in the presence of a field of low frequency omega-L. We explore the role played by the ponderomotive energy P(L) due to the low-frequency (LF) field. If P(L) HBAR-omega(L) the low-frequency field behaves like a dc field, but the strong repulsive barrier has a characteristic height of 2P(L), in contrast to the case of a true dc field (where the height is infinite). If the kinetic energy of the outgoing photoelectron is smaller than or comfield, and exhibits ripples as the high frequency varies. These ripples are due to the interference of the direct photoelectron wave and the wave that reflects from the repulsive barrier. The differences between the low-frequency field and a true dc field are elucidated
Automated Liquid Unloading in Low-Pressure Gas Wells Using Intermittent and Distributed Heating of Wellbore Fluid
No full text
Integrating geographic information systems, spatial digital libraries and information spaces for conducting humanitarian assistance and disaster relief operations in urban environments
No full textThe GeoWorlds system integrates geographic information systems, spatial digital libraries and other information analysis, retrieval and collaboration tools. It supports multiple applications ranging from intelligence gathering to urban planning, to crisis management and response. Teams can rapidly assemble collections of document-based information from the World-Wide Web and other specialized information sources, visualize geo-spatial distribution of these collections and monitor events that might change conclusions or decisions formed on the basis of an initial information set. This functionality is provided within a framework that supports both synchronous and asynchronous collaboration over finding, filtering and organizing information and presenting it in a rich visualization environment
