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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 361 records · Page 20
All sourcesNASA NTRSDOE OSTI
DOE OSTI2016

Semantic similarity between ontologies at different scales

In the past decade, existing and new knowledge and datasets has been encoded in different ontologies for semantic web and biomedical research. The size of ontologies is often very large in terms of number of concepts and relationships, which makes the analysis of ontologies and the represented knowledge graph computational and time consuming. As the ontologies of various semantic web and biomedical applications usually show explicit hierarchical structures, it is interesting to explore the trade-offs between ontological scales and preservation/precision of results when we analyze ontologies. This paper presents the first effort of examining the capability of this idea via studying the relationship between scaling biomedical ontologies at different levels and the semantic similarity values. We evaluate the semantic similarity between three Gene Ontology slims (Plant, Yeast, and Candida, among which the latter two belong to the same kingdom—Fungi) using four popular measures commonly applied to biomedical ontologies (Resnik, Lin, Jiang-Conrath, and SimRel). The results of this study demonstrate that with proper selection of scaling levels and similarity measures, we can significantly reduce the size of ontologies without losing substantial detail. In particular, the performance of Jiang-Conrath and Lin are more reliable and stable than that of the other two in this experiment, as proven by (a) consistently showing that Yeast and Candida are more similar (as compared to Plant) at different scales, and (b) small deviations of the similarity values after excluding a majority of nodes from several lower scales. This study provides a deeper understanding of the application of semantic similarity to biomedical ontologies, and shed light on how to choose appropriate semantic similarity measures for biomedical engineering.

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DOE OSTI2019

Conduct of Training P781-1

This document establishes Los Alamos National Laboratory (LANL or the Laboratory) training program management requirements that meet regulatory drivers and contractual requirements. The implementation of the processes defined in this document assures workers have the knowledge, skills, and abilities to perform their assigned duties efficiently, safely, securely, and compliantly.

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DOE OSTI2021

Towards Semantic Search in Building Sensor Data

This paper presents a search engine system for sensor time series data and metadata in the context of building management. It takes natural language queries as input, retrieves sensor time series data, ranks them with respect to their relevance to a given query, and visualizes the time series as search results. In addition, the system allows users to interact with the search results: they can define events of interest in the visualized results and search across sensor data for similar events, i.e., the search by example scheme. Quantitative evaluations and user studies demonstrate the value of this system for managing building sensor data.

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DOE OSTI2013

Lessons Learned on University Education Programs of Chemical Engineering Principles for Nuclear Plant Operations - 13588

University education aims to supply qualified human resources for industries. In complex large scale engineering systems such as nuclear power plants, the importance of qualified human resources cannot be underestimated. The corresponding education program should involve many topics systematically. Recently a nuclear engineering program has been initiated in Dongguk University, South Korea. The current education program focuses on undergraduate level nuclear engineering students. Our main objective is to provide industries fresh engineers with the understanding on the interconnection of local parts and the entire systems of nuclear power plants and the associated systems. From the experience there is a huge opportunity for chemical engineering disciple in the context of giving macroscopic overview on nuclear power plant and waste treatment management by strengthening the analyzing capability of fundamental situations. (authors)

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NASA NTRS1991

Computer integrated documentation

The main technical issues of the Computer Integrated Documentation (CID) project are presented. The problem of automation of documents management and maintenance is analyzed both from an artificial intelligence viewpoint and from a human factors viewpoint. Possible technologies for CID are reviewed: conventional approaches to indexing and information retrieval; hypertext; and knowledge based systems. A particular effort was made to provide an appropriate representation for contextual knowledge. This representation is used to generate context on hypertext links. Thus, indexing in CID is context sensitive. The implementation of the current version of CID is described. It includes a hypertext data base, a knowledge based management and maintenance system, and a user interface. A series is also presented of theoretical considerations as navigation in hyperspace, acquisition of indexing knowledge, generation and maintenance of a large documentation, and relation to other work.

Boy, Guy↗
DOE OSTI2019

2019 Notice of Public Training for the Electronic Public Reading Room Los Alamos National Laboratory Hazardous Waste Facility Permit EPA ID No. NM0890010515

The Department of Energy (DOE); Triad National Security, LLC (Triad); and Newport News Nuclear BWXT-Los Alamos, LLC (N3B) are holding training on the contents and use of the Los Alamos National Laboratory (LANL) Electronic Public Reading Rooms (EPRRs). The EPRR is an information repository for environmental and administrative information and correspondence required by Permit Section 1.10 of the LANL Hazardous Waste Facility Permit, issued November 2010. LANL Electronic Public Reading Room and the Los Alamos Legacy Cleanup Electronic Public Reading Room can be accessed at http://eprr.lanl.gov.

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DOE OSTI2020

Compilation of Site Names and Spatial Extents for Sites in the Hanford Site Disposition Database

Several analyses that will be completed as part of the Hanford Composite Analysis (CA) and Cumulative Impact Evaluation (CIE) require the extents of facilities, waste sites, and other locations on the Hanford Site. The purpose of this calculation is to provide spatial extents and consistent naming convention for those locations used as part of the analyses in a single dataset. This calculation documents the process used to develop the dataset.

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DOE OSTI2021

Section 106 Recordation, Interpretation, and Documentation for the Demolition of Buildings 9201-5 and 9204-4, Y-12 National Security Complex, Oak Ridge, Tennessee

In 2019 and 2020, Cultural Resource Analysts, Inc. (CRA), began preparing recordation packages for 18 World War II and Cold War Era buildings slated for demolition at the request of Consolidated Nuclear Security, LLC (CNS), on behalf of the U.S. Department of Energy (DOE), National Nuclear Security Administration (NNSA). The recordations for these 18 buildings, which are located within what is now known as the Y-12 National Security Complex (Y-12) in Oak Ridge, Tennessee, were prepared and submitted in two separate packages. The first report (EC-NP-004) was prepared as a mitigation measure to address adverse effects that will result from the proposed demolition of 16 support and ancillary buildings. The current report is the second of the two packages and addresses the last two of the 18 buildings slated for demolition (9201-5 and 9204-4), which are two of the large process buildings located at Y-12. All 18 of these buildings have previously been determined eligible for listing in the National Register of Historic Places (NRHP). The two buildings, Building 9201-5 and Building 9204-4, are located south of Bear Creek Road and west of the main Y-12 entrance gate. Both buildings were constructed as uranium enrichment facilities in support of the Manhattan Project, a top-secret World War II mission to develop the world’s first nuclear weapons. Building 9201-5, completed in October 1944, is the Alpha-5 process facility and Building 9204-4, completed in Fall 1945, is the Beta-4 process facility. Over the years, these facilities were repurposed for a number of different functions.

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DOE OSTI2022

On-Line Waste Library V4.0 Supporting Information

The On-Line Waste Library is a website that contains information regarding United States Department of Energy-managed high-level waste, spent nuclear fuel, and other wastes that are likely candidates for deep geologic disposal, with links to supporting documents for the data. This report provides supporting information for the data for which an already published source was not available.

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DOE OSTI2023

Annual Status Update for OWL

This report represents completion of milestone deliverable M2SF-24SN010309082 Annual Status Update for OWL due on November 30, 2023. It contains the status of fiscal year 2023 (FY2023) updates for the Online Waste Library (OWL).

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DOE OSTI2022

Annual status update for OWL

This report represents completion of milestone deliverable M2SF-23SN010309082 Annual Status Update for OWL due on November 30, 2022. It provides the status of fiscal year 2022 (FY2022) updates for the Online Waste Library (OWL).

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DOE OSTI2024

On-Line Waste Library V5.0 Supporting Information

The On-Line Waste Library is a website that contains information regarding United States Department of Energy-managed high-level waste, spent nuclear fuel, and other wastes that are likely candidates for deep geologic disposal, with links to supporting documents for the data. This report provides supporting information for the data for which an already published source was not available.

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DOE OSTI2025

Data Qualification Report: SRNL Glass Composition-Properties (ComPro) Database

The Savannah River National Laboratory Glass Composition-Properties (ComPro) database is an extensive database containing pertinent composition and durability data to support the accelerated clean-up mission at the Defense Waste Processing Facility. The activities described in this data qualification report were performed to support the information contained in the database. There were two objectives of the original data qualification process. The first objective was to review supporting documentation to determine if DOE/RW-0333P Quality Assurance Requirements and Description had been implemented during the original work. If the DOE/RW-0333P Quality Assurance Requirements and Description had not been directly implemented during the original work, the second objective was to determine if the controls that were used were adequate to meet the intent of the DOE/RW-0333P Quality Assurance Requirements and Description. The results of these two objectives and the activities performed to support these decisions are described in this document. An assessment of each dataset was made to determine if the data were RW-0333P Compliant, RW-0333P Equivalent or Non-RW-0333P Compliant. The original data qualification was performed in accordance with E7, Conduct of Engineering Manual, Procedure 3.70, Revision 4, Qualification of Data. The specific method that was used was Equivalent Controls as described in E7, 3.70. Revision 2 of this document adds supporting information for the RW-0333P Compliant datasets added to Revision 3 of the database.

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DOE OSTI2025

The User Guide for the ComPro Database

An extensive database of glass composition and durability data has been compiled at Savannah River National Laboratory to support the development of nuclear waste glasses. This database is referred to as the Glass Composition-Properties Database (ComPro). The ComPro Database, Revision 3, contains 14,134 total rows of data and 125 columns of composition, durability, as defined by the Product Consistency Test, and other fabrication and characterization information, if available, for each glass. Of the 14,134 total rows, 8,484 rows have been classified as “Model” data and 5,650 rows have been classified as “Non-Model” data. An integral supplement to the ComPro database is the User Guide. The User Guide was developed as a tool to aid the End User in a more effective use of the ComPro database. The User Guide provides a road-map of the specific datasets that comprise the ComPro database (both “Model” and “Non-Model” data) as well as a technical basis for the terminology and definitions the End User will encounter. In this report, a general description of the format and information contained in the User Guide is provided. In addition, specific terminology used in the User Guide is also discussed.

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DOE OSTI2013

Implementation of an Integrated Information Management System for the US DOE Hanford Tank Farms Project

In its role as the Tank Operations Contractor at the U.S. Department of Energy's site in Hanford, WA, Washington River Protection Solutions, LLC is implementing an integrated document control and configuration management system. This system will combine equipment data with technical document data that currently resides in separate disconnected databases. The new system will provide integrated information, enabling users to more readily identify the documents that relate to a structure, system, or component and vice-versa. Additionally, the new system will automate engineering work processes through electronic workflows, and where practical and feasible provide integration with design authoring tools. Implementation of this system will improve configuration management of the technical baseline, increase work process efficiencies, support the efficient design of future large projects, and provide a platform for the efficient future turnover of technical baseline data and information.

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DOE OSTI2014

Attaining and Maintaining a Continuity of Knowledge to Draw Safeguards Conclusions with Confidence.

As the 21st century progresses, new nuclear facilities and the expansion of nuclear activities into new countries will require the International Atomic Energy Agency (IAEA) to place a higher reliance on attaining and maintaining a Continuity of Knowledge (CoK) of its safeguards information than is currently practiced. Additionally, a conceptual view of where and how CoK can be applied will need to evolve to support improved efficiency and efficacy of drawing a safeguards conclusion for each Member State. The ability to draw a safeguards conclusion for a Member State will be predicated on the confidence that CoK has been attained and subsequently maintained with respect to the data and information streams used by the IAEA. This confidence can be described as a function of factors such as elapsed time since the measurement, surveillance of attributes, authentication of information, historic knowledge of potential system failures, and the number and type of data collections. A set of general scenarios are further described for determining what is required to attain CoK and whether CoK has been maintained. A high-level analysis of example scenarios is presented to identify failures or gaps that could cause a loss of CoK. Potential areas for technological research and development are discussed for the next generation of CoK tools.

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