The Experts below are selected from a list of 52029 Experts worldwide ranked by ideXlab platform
Michael Mcclennen - One of the best experts on this subject based on the ideXlab platform.
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the paleobiology database application programming interface
Paleobiology, 2016Co-Authors: Shanan E Peters, Michael McclennenAbstract:Abstract. The Paleobiology Database (PBDB; https://paleobiodb.org) consists of geographically and temporally explicit, taxonomically identified fossil occurrence data. The taxonomy utilized by the PBDB is not static, but is instead dynamically generated using an algorithm applied to separately managed taxonomic authority and opinion data. The PBDB owes its existence to many individuals, some of whom have entered more than 1.26 million fossil occurrences and over 570,000 taxonomic opinions, and some of whom have developed and maintained Supporting Infrastructure and analysis tools. Here, we provide an overview of the data model currently used by the PBDB and then briefly describe how this model is exposed via an Application Programming Interface (API). Our objective is to outline how PBDB data can now be accessed within individual scientific workflows, used to develop independently managed educational and scientific applications, and accessed to forge dynamic, near real-time connections to other data resou...
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the paleobiology database application programming interface
Paleobiology, 2016Co-Authors: Shanan E Peters, Michael McclennenAbstract:The Paleobiology Database (PBDB; https://paleobiodb.org) consists of geographically and temporally explicit, taxonomically identified fossil occurrence data. The taxonomy utilized by the PBDB is not static, but is instead dynamically generated using an algorithm applied to separately managed taxonomic authority and opinion data. The PBDB owes its existence to many individuals, some of whom have entered more than 1.26 million fossil occurrences and over 570,000 taxonomic opinions, and some of whom have developed and maintained Supporting Infrastructure and analysis tools. Here, we provide an overview of the data model currently used by the PBDB and then briefly describe how this model is exposed via an Application Programming Interface (API). Our objective is to outline how PBDB data can now be accessed within individual scientific workflows, used to develop independently managed educational and scientific applications, and accessed to forge dynamic, near real-time connections to other data resources.
Shanan E Peters - One of the best experts on this subject based on the ideXlab platform.
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the paleobiology database application programming interface
Paleobiology, 2016Co-Authors: Shanan E Peters, Michael McclennenAbstract:Abstract. The Paleobiology Database (PBDB; https://paleobiodb.org) consists of geographically and temporally explicit, taxonomically identified fossil occurrence data. The taxonomy utilized by the PBDB is not static, but is instead dynamically generated using an algorithm applied to separately managed taxonomic authority and opinion data. The PBDB owes its existence to many individuals, some of whom have entered more than 1.26 million fossil occurrences and over 570,000 taxonomic opinions, and some of whom have developed and maintained Supporting Infrastructure and analysis tools. Here, we provide an overview of the data model currently used by the PBDB and then briefly describe how this model is exposed via an Application Programming Interface (API). Our objective is to outline how PBDB data can now be accessed within individual scientific workflows, used to develop independently managed educational and scientific applications, and accessed to forge dynamic, near real-time connections to other data resou...
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the paleobiology database application programming interface
Paleobiology, 2016Co-Authors: Shanan E Peters, Michael McclennenAbstract:The Paleobiology Database (PBDB; https://paleobiodb.org) consists of geographically and temporally explicit, taxonomically identified fossil occurrence data. The taxonomy utilized by the PBDB is not static, but is instead dynamically generated using an algorithm applied to separately managed taxonomic authority and opinion data. The PBDB owes its existence to many individuals, some of whom have entered more than 1.26 million fossil occurrences and over 570,000 taxonomic opinions, and some of whom have developed and maintained Supporting Infrastructure and analysis tools. Here, we provide an overview of the data model currently used by the PBDB and then briefly describe how this model is exposed via an Application Programming Interface (API). Our objective is to outline how PBDB data can now be accessed within individual scientific workflows, used to develop independently managed educational and scientific applications, and accessed to forge dynamic, near real-time connections to other data resources.
Jatinder N D Gupta - One of the best experts on this subject based on the ideXlab platform.
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contemporary maintenance management process framework and Supporting pillars
Omega-international Journal of Management Science, 2006Co-Authors: Adolfo Crespo Marquez, Jatinder N D GuptaAbstract:This paper presents a holistic framework for managing the maintenance function heretofore inundated by myriad tools, trappings, practices, and prescriptions. It begins by reviewing the concepts, state-of-art processes and standards available to help maintain today's complex systems. It then proposes a framework in which to couch the various maintenance functions in an organization. In doing so, this paper characterizes factors that breed complexity in maintaining today's operations. Next, it closely analyzes the strategic, tactical and operational aspects of maintenance and sets up a structure to help complete the tasks at each of these levels. The term "process" in this paper implies actions directly associated with maintenance, while "framework" embodies the Supporting Infrastructure. The results are clear statements of (1) the functionality required of enablers such as IT to abet maintenance; (2) the distinctive capabilities extended by modern maintenance engineering; and (3) the critical requirement of relationship competencies in maintenance. This work sums up decades spent in maintenance shops, engineering, standardization, and research in maintenance management.
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contemporary maintenance management process framework and Supporting pillars
Omega-international Journal of Management Science, 2006Co-Authors: Adolfo Crespo Marquez, Jatinder N D GuptaAbstract:This paper presents a holistic framework for managing the maintenance function heretofore inundated by myriad tools, trappings, practices, and prescriptions. It begins by reviewing the concepts, state-of-art processes and standards available to help maintain today’s complex systems. It then proposes a framework in which to couch the various maintenance functions in an organization. In doing so, this paper characterizes factors that breed complexity in maintaining today’s operations. Next, it closely analyzes the strategic, tactical and operational aspects ofmaintenance and sets up a structure to help complete the tasks at each ofthese levels. The term “process” in this paper implies actions directly associated with maintenance, while “framework” embodies the Supporting Infrastructure. The results are clear statements of(1) the f required of enablers such as IT to abet maintenance; (2) the distinctive capabilities extended by modern maintenance engineering; and (3) the critical requirement of relationship competencies in maintenance. This work sums up decades spent in maintenance shops, engineering, standardization, and research in maintenance management. 2004 Elsevier Ltd. All rights reserved.
Zhihong Zhang - One of the best experts on this subject based on the ideXlab platform.
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development and demonstration of fuel cell vehicles and Supporting Infrastructure in china
Mitigation and Adaptation Strategies for Global Change, 2011Co-Authors: Robert K Dixon, Xi Wang, Michael Wang, Ju Wang, Zhihong ZhangAbstract:The demand for urban transportation in China, including cars, motorbikes, buses, and trains, is growing substantially. China’s transportation fleet is projected to expand from 16 to 94 million vehicles between 2000 and 2020, with liquid and electricity transport fuel demand growing from about 5 Quadrillion British Thermal Units (Quads) to over 20 Quads in 2035. In response to energy security, economic growth and environmental protection needs, Chinese government agencies, academia and the private sector have organized their programs and investments to advance development and demonstration of sustainable alternative transportation systems. This analysis surveys historic development of fuel cell vehicle (FCV) including fuel cell buses (FCB) technology in China, summarizes recent efforts to scale-up FCV development and associated Infrastructure in major Chinese cities, and briefly addresses future directions in Chinese fuel cell and hydrogen energy technology development. Since the late 1990’s, Chinese universities, government institutions and the private sector have implemented research, development, demonstration and deployment programs for electric (EV), fuel cell (FCV), and hybrid electric vehicles (HEV). These efforts have advanced the feasibility of FCVs to be a part of sustainable urban transportation system, including technical performance, Infrastructure, and customer acceptance. Three generations of FCVs, START I, START II and START III have been developed, demonstrated and deployed. Similarly, several generations of FCBs have been developed and demonstrated. Collectively, these efforts have demonstrated and deployed over 1,000 FCBs and FCVs in several Chinese cities. Large-scale, intensive-use FCV and FCB demonstration trials, including those during the 2008 Beijing Olympics and the 2010 Shanghai World Exposition (EXPO), have been successfully built and operated. Infrastructure, such as hydrogen production facilities, fuelling stations, and maintenance stations have been constructed and operated to support the fleets of FCBs and FCVs. Experiences learned from these FCV research, development, and demonstration activities are the foundation for scaling up Infrastructure and fleet trials in a growing number of cities in eastern and western China. An aggressive research and development vision and 2020 technology performance targets provide a foundation for the next generation of EVs, FCVs and HEVs, and, options for China’s efforts to develop a portfolio of sustainable transportation systems.
D A Brown - One of the best experts on this subject based on the ideXlab platform.
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generalized nuclear data a new structure with Supporting Infrastructure for handling nuclear data
Nuclear Data Sheets, 2012Co-Authors: C M Mattoon, B R Beck, N R Patel, N C Summers, G W Hedstrom, D A BrownAbstract:Abstract The Evaluated Nuclear Data File (ENDF) format was designed in the 1960s to accommodate neutron reaction data to support nuclear engineering applications in power, national security and criticality safety. Over the years, the scope of the format has been extended to handle many other kinds of data including charged particle, decay, atomic, photo-nuclear and thermal neutron scattering. Although ENDF has wide acceptance and support for many data types, its limited support for correlated particle emission, limited numeric precision, and general lack of extensibility mean that the nuclear data community cannot take advantage of many emerging opportunities. More generally, the ENDF format provides an unfriendly environment that makes it difficult for new data evaluators and users to create and access nuclear data. The Cross Section Evaluation Working Group (CSEWG) has begun the design of a new Generalized Nuclear Data (or ʼGNDʼ) structure, meant to replace older formats with a hierarchy that mirrors the underlying physics, and is aligned with modern coding and database practices. In support of this new structure, Lawrence Livermore National Laboratory (LLNL) has updated its nuclear data/reactions management package Fudge to handle GND structured nuclear data. Fudge provides tools for converting both the latest ENDF format (ENDF-6) and the LLNL Evaluated Nuclear Data Library (ENDL) format to and from GND, as well as for visualizing, modifying and processing (i.e., converting evaluated nuclear data into a form more suitable to transport codes) GND structured nuclear data. GND defines the structure needed for storing nuclear data evaluations and the type of data that needs to be stored. But unlike ENDF and ENDL, GND does not define how the data are to be stored in a file. Currently, Fudge writes the structured GND data to a file using the eXtensible Markup Language (XML), as it is ASCII based and can be viewed with any text editor. XML is a meta-language, meaning that it has a primitive set of definitions for representing hierarchical data/text in a file. Other meta-languages, like HDF5 which stores the data in binary form, can also be used to store GND in a file. In this paper, we will present an overview of the new GND data structures along with associated tools in Fudge.
