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Analytics Goes on Location with New Approaches

COMPUTER 2013年第4期46卷 14-17页

作者： Garber, Lee IEEE Comp Soc Washington DC 20036 USA

Businesses are increasingly using location analytics-which integrates organizational and geographic data-to help identify trends, develop more accurate predictions, and make better decisions.

关键词： application programming interfaces Internet Software Development Computer interfaces Cloud Computing API Service Providers Software API application programming interface Web applications Mobile applications Representational State Transfer REST Cloud Computing Analytics Machine To Machine M 2 M O Auth Open ID Connect API Frameworks Back End As A Service Baa S

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***: Open-source and linked data for epidemiology

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HEALTH INFORMATICS JOURNAL 2016年第4期22卷 962-974页

作者： Chorianopoulos, Konstantinos Talvis, Karolos Ionian Univ Platia Tsirigoti 7 Corfu 49100 Greece

Epidemiology has made advances, thanks to the availability of real-time surveillance data and by leveraging the geographic analysis of incidents. There are many health information systems that visualize the symptoms of influenza-like illness on a digital map, which is suitable for end-users, but it does not afford further processing and analysis. Existing systems have emphasized the collection, analysis, and visualization of surveillance data, but they have neglected a modular and interoperable design that integrates high-resolution geo-location with real-time data. As a remedy, we have built an open-source project and we have been operating an open service that detects flu-related symptoms and shares the data in real-time with anyone who wants to built upon this system. An analysis of a small number of precisely geo-located status updates (e.g. Twitter) correlates closely with the Google Flu Trends and the Centers for Disease Control and Prevention flu-positive reports. We suggest that public health information systems should embrace an open-source approach and offer linked data, in order to facilitate the development of an ecosystem of applications and services, and in order to be transparent to the general public interest.

关键词： application programming interface contagious linked data open source social media Twitter visualization

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Design Automation Using Exclusion-Based Hierarchical Computation for Power Electronics Converters in Harsh Environments

IEEE OPEN JOURNAL OF POWER ELECTRONICS

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IEEE OPEN JOURNAL OF POWER ELECTRONICS 2024年 5卷 1172-1181页

作者： Xiao, Yudi Zhang, Zhe Zsurzsan, Gabriel Andersen, Michael A. E. Macfadyen, Martin Liao, Yuchuan Alzola, Rafael Pena Yuan, Weijia Zhang, Min Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XQ Scotland Hebei Univ Technol Sch Elect Engn Tianjin 300130 Peoples R China Tech Univ Denmark Dept Elect & Photon Engn DK-2800 Lyngby Denmark

Designing power electronics converters for harsh environments is challenging due to the absence of components' performance under harsh conditions, the frequent transition and data-passing among various software, and the time-consuming and computationally heavy work flow. This paper promotes using design automation to address the aforementioned design challenges. The implementations include public-accessible component databases, automated co-action among circuit simulators and finite element simulations to perform electrical, electromagnetic and thermal co-design, and finally an exclusion-based work flow with hierarchical computation to reduce computational load. The theorized framework is exemplified on designing a real world 175 degrees C 1.5 kW Three-level Neutral-point-clamped dc-dc converter. A database containing the high-temperature characteristics of SiC MOSFETs and ferrites is established and shared through a web application with graphical user interface. In 310 min, the program, which includes computationally heavy 3D finite element simulation, delivers design output after evaluating the converter's electrical, electromagnetic and thermal performance under 10 million parameter sets. Finally, a 1.5 kW dc-dc converter prototype is built and tested in 175 degrees C ambient temperature to verify the quality of the design output.

关键词： Software Power electronics Design automation Windings Finite element analysis Databases Graphical user interfaces application programming interface component database design automation design methodology extreme temperature

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High-Resolution Global Point Mascon Models for the Moon

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2023年第7期46卷 1390-1396页

作者： McArdle, Sean Russell, Ryan P. Univ Texas Austin Aerospace Engn 2617 Wichita Str Austin TX 78712 USA

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MAIN MEMORY DATABASE-SYSTEMS - AN OVERVIEW

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1992年第6期4卷 509-516页

作者： GARCIAMOLINA, H SALEM, K UNIV MARYLAND DEPT COMP SCICOLL PKMD 20742

Memory resident database systems (MMDB's) store their data in main physical memory and provide very high-speed access. Conventional database systems are optimized for the particular characteristics of disk storage mechanisms. Memory resident systems, on the other hand, use different optimizations to structure and organize data, as well as to make it reliable. This paper surveys the major memory residence optimizations and briefly discusses some of the memory resident systems that have been designed or implemented.

关键词： ACCESS METHODS application programming interface COMMIT PROCESSING CONCURRENCY CONTROL DATA CLUSTERING DATA REPRESENTATION MAIN MEMORY DATABASE SYSTEM (MMDB) QUERY PROCESSING RECOVERY

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HPC and Cloud Convergence Beyond Technical Boundaries: Strategies for Economic Sustainability, Standardization, and Data Accessibility

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COMPUTER 2024年第6期57卷 128-136页

作者： Taufer, Michela Milroy, Daniel Gamblin, Todd Jones, Andrew Magro, Bill Poxon, Heidi Seelam, Seetharami Univ Tennessee High Performance Comp Knoxville TN 37996 USA Lawrence Livermore Natl Lab Livermore CA 94550 USA Microsoft Microsoft Azure Redmond WA 98052 USA Google LLC HPC Mountain View CA 94043 USA Amazon Web Serv Seattle WA 98109 USA IBM TJ Watson Res Ctr Armonk NY 10504 USA

At the IEEE/ACM International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC23), held in Denver, experts discussed the convergence of high-performance computing and cloud computing. They explored how this integration could address current scientific computing limitations, enhance computational capabilities, and foster global collaboration while focusing on economic, security, technical, and community challenges and opportunities.

关键词： Data Access High Performance Computing Technical Boundaries Landscape Scientific Research Scalable Data Management Computer Science Cloud Computing Technical Challenges Scientific Findings Rapid Advances Management Costs Security Measures Computational Capabilities Cloud Environment Foster Collaboration Cloud Providers Software Stack High Performance Computing Systems Data Security Unique System Central Hub application programming interface Cloud Platform Public Cloud Comprehensive Training Containerized Research Community Pricing Model

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Standardised job submission and control in cluster and grid environments

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INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING 2009年第2期1卷 134-145页

作者： Troger, Peter Rajic, Hrabri Haas, Andreas Domagalski, Piotr Blekinge Inst Technol S-37225 Ronneby Sweden Intel Corp Champaign IL 61820 USA Sun Microsyst GmbH D-93049 Regensburg Germany Poznan Supercomp & Networking Ctr PL-61704 Poznan Poland

Cluster and Grid environments mostly require the use of product-specific application programming interface (APIs) to submit, control and monitor computational jobs. The Open Grid Forum standardisation body therefore has developed several specifications to fill the gap and enable developers to code to few standardised APIs. This paper discusses the details of one of these specifications, the Distributed Resource Management application API. We compare the basic concepts of the finalised API to other specifications from the same area and explain issues and findings uncovered during the standardisation process.

关键词： job submission job monitoring job control cluster system array job IDL interface definition language API application programming interface standardisation Open Grid Forum DRM system DRMS distributed resource management system DRMAA distributed resource management application API

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Reol: R interface to the Encyclopedia of Life

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ECOLOGY AND EVOLUTION 2014年第12期4卷 2577-2583页

作者： Banbury, Barbara L. O'Meara, Brian C. Univ Tennessee Dept Ecol & Evolutionary Biol Knoxville TN USA

The Encyclopedia of Life is a website that hosts information about life on Earth. Its mission is to increase awareness and understanding of living nature through a freely accessible digital source. Information is publicly available through graphical webpages (browser interface) or through an application programming interface (API). We developed Reol, an open-source package for the R environment, which downloads data from the EOL API, searches for and extracts specific information, and builds tables with quantitative data and/or hierarchical classifications. We provide a detailed description how Reol can be used as a bridge between the R environment and the EOL API to extract quantitative or hierarchical content. It will be particularly useful for researchers who want information about taxonomic groups of interest (for example: how much information is known about flatworm species? What are the taxonomic synonyms for bird species?) or construct a taxonomic tree. Reol is a tool for researchers who wish to download and gather data from EOL or its provider pages. We provide numerous functions within R for downloading, gathering data in different forms, creating taxonomic trees, and plotting data, which work with functions already available through various packages. It joins a growing body of R packages that interact with web-based APIs to streamline data acquisition, thereby easing the analysis of large publicly available datasets.

关键词： application programming interface Encyclopedia of Life programmatic access reproducible research taxonomy

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Symposium review: Dairy Brain-Informing decisions on dairy farms using data analytics

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JOURNAL OF DAIRY SCIENCE 2020年第4期103卷 3874-3881页

作者： Ferris, Michael C. Christensen, Adam Wangen, Steven R. Univ Wisconsin Comp Sci Dept Madison WI 53706 USA Univ Wisconsin Wisconsin Inst Discovery Madison WI 53706 USA

Management decisions can be informed by near-real-time data streams to improve the economics of the farm and to positively benefit the overall health of a dairy herd or the larger environment. Decision support tools can use data management services and analytics to exploit data streams from farm and other economic, health, and agricultural sources. We will describe a decision support tool that couples data analytics tools to underlying cow, herd, and economic data with an application programming interface. This interface allows the user to interact with a collection of dairy applications without fully exposing the intricacies of the underlying system model and understand the effects of different decisions on outputs of interest. The collection of these applications will form the basis of the Dairy Brain decision support system, which will provide management suggestions to farmers at a single animal or farm level. Dairy operations data will be gathered, cleaned, organized, and disseminated through an agricultural data hub, exploiting newly developed ontologies for integration of multiple data sources. Models of feed efficiency, culling, or other dairy operations (such as large capital expenditures, outsourcing opportunities, and interactions with regulators) form the basis of analytical approaches, operationalized via tools that help secure information and control uncertainties. The applications will be independently generated to provide flexibility, and use tools and modeling approaches from the data science, simulation, machine learning, and optimization disciplines to provide specific recommendations to decision makers. The Dairy Brain is a decision support system that couples data analytics tools with a suite of applications that integrate cow, herd, and economic data to inform management, operational, and animal health improving practices. Research challenges that remain include dealing with increased variability as predictions go from herd or pen level down to

关键词： data management and decision support tools Dairy Brain machine learning and optimization application programming interface

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ArrayPlex: distributed, interactive and programmatic access to genome sequence, annotation, ontology, and analytical toolsets

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GENOME BIOLOGY 2008年第11期9卷 R159-R159页

作者： Killion, Patrick J. Iyer, Vishwanath R. Univ Texas Austin Ctr Syst & Synthet Biol Inst Cellular & Mol Biol Sect Mol Genet & Microbiol Austin TX 78712 USA

ArrayPlex is a software package that centrally provides a large number of flexible toolsets useful for functional genomics, including microarray data storage, quality assessments, data visualization, gene annotation retrieval, statistical tests, genomic sequence retrieval and motif analysis. It uses a client-server architecture based on open source components, provides graphical, command-line, and programmatic access to all needed resources, and is extensible by virtue of a documented application programming interface. ArrayPlex is available at http://***/projects/arrayplex/.

关键词： Gene Ontology application programming interface Microarray Database Client Computer Apache Tomcat

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