Relevant bibliographies by topics / Data loading

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data loading'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Data loading"

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Patel, Jigna, Priyanka Sharma, and Jitali Patel. "Big Data Harmonization-Data Loading and Data Storage." Journal of Engineering and Applied Sciences 14, no. 20 (October 31, 2019): 7731–35. http://dx.doi.org/10.36478/jeasci.2019.7731.7735.

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Szalay, Alex, Ani R. Thakar, and Jim Gray. "The sqlLoader Data-Loading Pipeline." Computing in Science & Engineering 10, no. 1 (January 2008): 38–48. http://dx.doi.org/10.1109/mcse.2008.18.

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Borgida, Alex, and Ronald J. Brachman. "Loading data into description reasoners." ACM SIGMOD Record 22, no. 2 (June 1993): 217–26. http://dx.doi.org/10.1145/170036.170073.

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Conle, F. A. "Materials data for cyclic loading." Materials Science and Engineering: A 119 (November 1989): 246–47. http://dx.doi.org/10.1016/0921-5093(89)90546-7.

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Bezverkhy, O., L. Zinchuk, and V. Karlash. "Modeling of the piezoceramic resonator electric loading conditions based on experimental data." Mathematical Modeling and Computing 2, no. 2 (December 31, 2015): 115–27. http://dx.doi.org/10.23939/mmc2015.02.115.

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Papadopoulos, Apostolos, and Yannis Manolopoulos. "Parallel bulk-loading of spatial data." Parallel Computing 29, no. 10 (October 2003): 1419–44. http://dx.doi.org/10.1016/j.parco.2003.05.003.

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Haitao Liu, and Dongli Yue. "Hospital Data Loading Agent Based on HL7." Journal of Convergence Information Technology 7, no. 10 (June 30, 2012): 412–20. http://dx.doi.org/10.4156/jcit.vol7.issue10.49.

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Sreerama Murty, M., and N. Naga MalleswaraRao. "Loading, searching and retrieving data from local data nodes on HDFS." International Journal of Data Science 5, no. 1 (2020): 41. http://dx.doi.org/10.1504/ijds.2020.10031620.

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Murty, M. Sreerama, and N. Naga MalleswaraRao. "Loading, searching and retrieving data from local data nodes on HDFS." International Journal of Data Science 5, no. 1 (2020): 41. http://dx.doi.org/10.1504/ijds.2020.109495.

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Dr. K, Uma Pavan Kumar, and Dr Lakshma Reddy Bhavanam. "Usage of HIVE Tool in Hadoop ECO System with Loading Data and User Defined Functions." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 1058–62. http://dx.doi.org/10.37200/ijpr/v24i4/pr201080.

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Dissertations / Theses on the topic "Data loading"

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Mack, Moritz. "Loading and Querying Data on Distributed Virtualized Web Application Servers." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-108039.

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Virtualized web application servers within computational clouds, such as the GoogleApp Engine, generally restrict resource usage and therefore provide limited,relationally none-complete query facilities only. This work investigates how scalable,reliable and a more powerful access to the App Engine Datastore can beaccomplished and an Optimized Distributed Datastore Exchange (ODDSE) ispresented. Being aware of the App Engine’s resource restrictions ODDSE provides areliable and failure safe query interface to transparently exchange data with thedistributed Datastore using full SQL or AmosQL. ODDSE therefore wraps Datastorerelations and utilizes the extensible database system Amos II to compensate formissing query facilities in Google’s relationally none-complete query language GQL.Under the covers ODDSE furthermore implements an adaptive and reliablemanagement of interactions with App Engine servers. For scalability and highperformance the interaction is parallelized and continuously adapted. Theperformance of ODDSE is evaluated and compared to a similar system showing itsconsiderably good results for both bulk uploading and query processing.

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Gustafsson, Markus. "A Server for ARINC 615A Loading." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-100443.

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The development of the next generation of Saab's multirole combat aircraft the JAS 39 Gripen includes developing a lot of new software for the aircraft's on-board computers. The new software has to be loaded into these computers routinely, in order to carry out testing on it. This is currently a slow and tedious process. In order to load the computers a protocol defined in the ARINC 615A standard is used. Today Saab uses commercial software applications implementing this protocol for the loading process. These applications have significant disadvantages, such as not being able to load several computers in parallel or only being able to load computers from a specific manufacturer. In this thesis we introduce a system using a client-server architecture that allows users to load the computers in parallel, regardless of the manufacturer. In Section 3.2.2 we show that our system reduces the time required to load the aircraft's on-board computers significantly. We also indicate some improvements that can be made in order to speed up the process even further. These improvements mainly involve improving the on-board computers themselves through the use of faster persistent storage and support for later revisions of the protocol involved.
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Carlo, Gilles. "Dynamic loading and class management in a distributed actor system." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-04272010-020040/.

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Entesar, Abdullah Ali. "Statistical analysis of truck loading on Swedish highways." Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-45980.

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Vehicle over loading, or single axle over loading, is one of the major causes of pavement deterioration. Trafik Verket (TV), the Swedish Transport Administration, recognized that the current process for estimating traffic volume should be reevaluated, and if possible improved. This degree project uses data from the Bridge Weigh in Motion (BWIM) system to study the actual loads applied to Swedish highways. The axle load spectrum is plotted with the conventional frequency distribution plots, and with a new cumulative distribution approach. The paper introduces the maximum allowable potential vehicle weight MAPVW concept, and uses this visual technique to identify overloads for different vehicle geometries. The paper concludes that for 5 and 6 axle trucks the triple axle is frequently overloaded, while for longer trucks one of the dual axles is often over loaded. The highest over loads tend to be on the driving axle, suggesting incorrect loading procedures.
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Ahmed, Ejaz. "A grid enabled staging DBMS method for data Mapping, Matching & Loading." Thesis, University of Bedfordshire, 2011. http://hdl.handle.net/10547/204951.

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This thesis is concerned with the need to deal with data anomalies, inconsistencies and redundancies within the context of data integration in grids. A data Mapping, Matching and Loading (MML) process that is based on the Grid Staging Catalogue Service (MML-GSCATS) method is identified. In particular, the MML-GSCATS method consists of the development of two mathematical algorithms for the MML processes. Specifically it defines an intermediate data storage staging facility in order to process, upload and integrate data from various small to large size data repositories. With this in mind, it expands the integration notion of a database management system (DBMS) to include the MML-GSCATS method in traditional distributed and grid environments. The data mapping employed is in the form of value correspondences between source and target databases whilst data matching consolidates distinct catalogue schemas of federated databases to access information seamlessly. There is a need to deal with anomalies and inconsistencies in the grid, MML processes are applied using a healthcare case study with developed scenarios. These scenarios were used to test the MML-GSCATS method with the help of software prototyping toolkit. Testing has set benchmarks, performance, reliability and error detections (anomalies and redundancies). Cross-scenario data sets were formulated and results of scenarios were compared with benchmarking. These benchmarks help in comparing the MMLGSCATS methodology with traditional and current grid methods. Results from the testing and experiments demonstrate that the MML-GSCATS is a valid method for identifying data anomalies, inconsistencies and redundancies that are produced during loading. Testing results indicates the MML-GSCATS is better than traditional methods.
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Trumstedt, Karl. "Evaluation of methods for loading and processing of measurement data in Oracle." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181305.

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Gao, Fei Ph D. Massachusetts Institute of Technology. "Modeling human attention and performance in automated environments with low task loading." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106592.

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Thesis: Ph. D. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 211-225).
Automation has the benefit of reducing human operators' workload. By leveraging the power of computers and information technology, the work of human operators is becoming easier. However, when the workload is too low but the human is required to be present either by regulation or due to limitations of automation, human performance can be negatively affected. Negative consequences such as distraction, mind wandering, and inattention have been reported across many high risk settings including unmanned aerial vehicle operation, process control plant supervision, train engineers, and anesthesiologists. Because of the move towards more automated systems in the future, a better understanding is needed to enable intervention and mitigation of possible negative impacts. The objectives of this research are to systematically investigate the attention and performance of human operators when they interact with automated systems under low task load, build a dynamic model and use it to facilitate system design. A systems-based framework, called the Boredom Influence Diagram, was proposed to better understand the relationships between the various influences and outcomes of low task loading. A System Dynamics model, named the Performance and Attention with Low-task-loading (PAL) Model, was built based on this framework. The PAL model captures the dynamic changes of task load, attention, and performance over time in long duration low task loading automated environments. In order to evaluate the replication and prediction capability of the model, three dynamic hypotheses were proposed and tested using data from three experiments. The first hypothesis stated that attention decreases under low task load. This was supported by comparing model outputs with data from an experiment of target searching using unmanned vehicles. Building on Hypothesis 1, the second and third hypotheses examined the impact of decreased attention on performance in responding to an emergency event. Hypothesis 2 was examined by comparing model outputs with data from an experiment of accident response in nuclear power plant monitoring. Results showed that performance is worse with lower attention levels. Hypothesis 3 was tested by comparing model outputs with data from an experiment of defensive target tracking. The results showed that the impact of decreased attention on performance was larger when the task was difficult. The process of testing these three hypotheses shows that the PAL model is a generalized theory that could explain behaviors under low task load in different supervisory control settings. Finally, benefits, limitations, generalizability and applications of the PAL model were evaluated. Further research is needed to improve and extend the PAL model, investigate individual differences to facilitate personnel selection, and develop system and task designs to mitigate negative consequences.
by Fei Gao.
Ph. D. in Engineering Systems
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Deng, Yanbo. "Using web services for customised data entry." Master's thesis, Lincoln University. Environment, Society and Design Division, 2007. http://theses.lincoln.ac.nz/public/adt-NZLIU20080313.185408/.

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Scientific databases often need to be accessed from a variety of different applications. There are usually many ways to retrieve and analyse data already in a database. However, it can be more difficult to enter data which has originally been stored in different sources and formats (e.g. spreadsheets, other databases, statistical packages). This project focuses on investigating a generic, platform independent way to simplify the loading of databases. The proposed solution uses Web services as middleware to supply essential data management functionality such as inserting, updating, deleting and retrieval of data. These functions allow application developers to easily customise their own data entry applications according to local data sources, formats and user requirements. We implemented a Web service to support loading data to the Germinate database at the New Zealand Institute of Crop & Food Research (CFR). We also provided language specific client toolkits to help developers invoke the Web service. The toolkits allow applications to be easily customised for different platforms. In addition, we developed sample applications to help end users load data from their project data sources via the Web service. The Web service approach was evaluated through user and developer trials. The feedback from the developer trial showed that using Web services as middleware is a useful approach to allow developers and competent end users to customise data entry with minimal effort. More importantly, the customised client applications enabled end users to load data directly from their project spreadsheets and databases. It significantly reduced the effort required for exporting or transforming the source data.
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Melcher, Anthony A. "Estimating Suspended Solids and Phosphorus Loading in Urban Stormwater Systems Using High-Frequency, Continuous Data." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7455.

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The introduction of pavement, buildings, and other impervious surfaces to urban landscapes greatly influences the quantity and quality of urban stormwater runoff. In this study, we designed and implemented modern stormwater monitoring technologies to establish a “smart” stormwater sensor network within the Northwest Field Canal (NWFC), an urban water conveyance located in Logan, Utah, USA. This network was designed to collect flow and water quality data at high frequencies and simultaneously at multiple locations. The observatory’s innovative method of inter-site communication and changing sampling frequencies during storm events was able to capture short duration events at the upstream and downstream ends of the NWFC and at multiple outfalls in the canal simultaneously without human intervention. We then investigated statistical regression models between turbidity and TSS so as to predict TSS at high frequencies. Finally, the addition of the high-frequency discharge data in the calibration procedure for a stormwater simulation model developed using the Environmental Protection Agency’s Stormwater Management Model did little to improve model performance at the downstream end of the canal, but did provide important insight into the overall contribution of discharge from individual stormwater outfalls to the NWFC. The results of this study inform water professionals on how to build and operate automated monitoring systems and how to create high-frequency estimates of TSS and TP loads in urban water systems.
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Barauskas, Antanas. "Duomenų gavimas iš daugialypių šaltinių ir jų struktūrizavimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140619_092257-64025.

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Šio darbo idėja yra Išgauti-Pertvarkyti-Įkelti (angl. ETL) principu veikiančios sistemos sukūrimas. Sistema išgauna duomenis iš skirtingo tipo šaltinių, juos tinkamai pertvarko ir tik tuomet įkelia į parinktą saugojimo vietą. Išnagrinėti pagrindiniai duomenų gavimo būdai ir populiariausi šiuo metu ETL įrankiai. Sukurta debesų kompiuterija paremtos daugiakomponentinės duomenų gavimo iš daugialypių šaltinių ir jų struktūrizavimo vieningu formatu sistemos architektūra ir prototipas. Skirtingai nuo duomenis kaupiančių sistemų, ši sistema duomenis išgauna tik tuomet, kai jie reikalingi. Duomenų saugojimui naudojama grafu paremta duomenų bazė, kuri leidžia saugoti ne tik duomenis bet ir jų tarpusavio ryšių informaciją. Darbo apimtis: 48 puslapiai, 19 paveikslėlių, 10 lentelių ir 30 informacijos šaltinių.
The aim of this work is to create ETL (Extract-Transform-Load) system for data extraction from different types of data sources, proper transformation of the extracted data and loading the transformed data into the selected place of storage. The main techniques of data extraction and the most popular ETL tools available today have been analyzed. An architectural solution based on cloud computing, as well as, a prototype of the system for data extraction from multiple sources and data structurization have been created. Unlike the traditional data storing - based systems, the proposed system allows to extract data only in case it is needed for analysis. The graph database employed for data storage enables to store not only the data, but also the information about the relations of the entities. Structure: 48 pages, 19 figures, 10 tables and 30 references.
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Books on the topic "Data loading"

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Bäumel, A. Materials data for cyclic loading. Amsterdam: Elsevier, 1990.

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Boller, Chr. Materials data for cyclic loading. Amsterdam: Elsevier, 1987.

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Products, Inc Ballistic. Loading data for high performance buckshot loads. Corcoran, MN: Ballistic Products, 1997.

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Epps, Jon A. Equipment for obtaining pavement condition and traffic loading data. Washington, D.C: Transportation Research Board, National Research Council, 1986.

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Easley, Wesley C. Improved memory loading techniques for the TSRV display system. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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Petrie, D. D. Derivation of appropriate traffic & loading data, and parameters for road asset management. Wellington, N.Z: Transfund New Zealand, 2005.

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Cusimano, Robert F. Data summary: Spokane River and Lake Spokane (Long Lake) pollutant loading assessment for protecting dissolved oxygen. Olympia, WA: Washington State Dept. of Ecology, 2003.

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Products, Inc Ballistic. Handloading Bismuth shot: Loading technique & data for high performance Bismuth shot loads : non-toxioc loads for the 21st century. 2nd ed. Corcoran, MN: Ballistic Products, 1999.

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Leib, Kenneth J. Data summary and loading sources for selected water-quality characteristics of streams in blowdown areas, North Fork Elk River Watershed, Colorado, March 1999-August 2000. [Grand Junction, CO: U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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United States. Environmental Protection Agency. Great Lakes National Program Office and Purdue University, eds. Use of the Black Creek Database to analyze techniques for estimating nonpoint source loadings from small watersheds. Chicago, Ill: U.S. Environmental Protection Agency, Great Lakes National Program Office, 1991.

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Book chapters on the topic "Data loading"

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Williams, Graham. "Loading Data." In Data Mining with Rattle and R, 75–98. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9890-3_4.

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Vohra, Deepak. "Bulk Loading Data." In Apache HBase Primer, 145–47. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2424-3_20.

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Bierögel, C., and W. Grellmann. "Compression Loading - data." In Polymer Solids and Polymer Melts–Mechanical and Thermomechanical Properties of Polymers, 183–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55166-6_26.

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Bierögel, C., and W. Grellmann. "Bend loading - data." In Polymer Solids and Polymer Melts–Mechanical and Thermomechanical Properties of Polymers, 197–220. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55166-6_29.

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Vaisman, Alejandro, and Esteban Zimányi. "Extraction, Transformation, and Loading." In Data Warehouse Systems, 285–327. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54655-6_8.

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Yang, Juan, and Xiaopu Feng. "Loading Data into HBase." In Lecture Notes in Electrical Engineering, 265–71. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01766-2_31.

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Alapati, Sam R. "Loading and Transforming Data." In Expert Oracle9i Database Administration, 533–77. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0773-3_12.

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Kyte, Thomas. "Data Loading and Unloading." In Expert Oracle Database Architecture, 697–765. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6299-2_15.

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Shaw, Scott, Andreas François Vermeulen, Ankur Gupta, and David Kjerrumgaard. "Loading Data into Hive." In Practical Hive, 99–114. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-0271-5_6.

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Monogan, James E. "Loading and Manipulating Data." In Use R!, 13–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23446-5_2.

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Conference papers on the topic "Data loading"

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Jiménez-Peris, Ricardo, Francisco Ballesteros, Ainhoa Azqueta, Pavlos Kranas, Diego Burgos, and Patricio Martínez. "Parallel Efficient Data Loading." In Special Session on Appliances for Data-Intensive and Time Critical Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0008318904650469.

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Kim, Sangchul, Junhee Lee, Taehoon Kim, and Bongki Moon. "Scalable parallel data loading in SciDB." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258331.

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Kurozuka, Akira, Shinichi Maeda, Kohzoh Ezawa, and Eiichi Hanakawa. "Loading mechanism of DVD-RAM drive." In Optical Data Storage '98, edited by Shigeo R. Kubota, Tomas D. Milster, and Paul J. Wehrenberg. SPIE, 1998. http://dx.doi.org/10.1117/12.327924.

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Borgida, Alex, and Ronald J. Brachman. "Loading data into description reasoners." In the 1993 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/170035.170073.

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Santos, Ricardo Jorge, and Jorge Bernardino. "Real-time data warehouse loading methodology." In the 2008 international symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1451940.1451949.

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Zheng, Ran, Hai Jin, Qin Zhang, and Xin Liu. "Agent-Based Data Loading Method in MedImGrid." In 2009 International Conference on New Trends in Information and Service Science (NISS). IEEE, 2009. http://dx.doi.org/10.1109/niss.2009.180.

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HewlettI, C., and N. Blake. "Exploration Data Recovery, Archiving and Workstation Loading." In 4th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1995. http://dx.doi.org/10.3997/2214-4609-pdb.313.128.

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Conner, John W. "Positioning issues relating to seismic data loading." In SEG Technical Program Expanded Abstracts 2005. Society of Exploration Geophysicists, 2005. http://dx.doi.org/10.1190/1.2148185.

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Barahmand, Sumita, and Shahram Ghandeharizadeh. "Expedited rating of data stores using agile data loading techniques." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505744.

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Liu, Jiaye, Jiali Mao, Jiajun Liao, Huiqi Hu, Ye Guo, and Aoying Zhou. "SCLPD: Smart Cargo Loading Plan Decision Framework." In 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020. http://dx.doi.org/10.1109/icde48307.2020.00163.

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Reports on the topic "Data loading"

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K. J. Kvarfordt, S. T. Wood, C. L. Smith, and S. R. Prescott. SAPHIRE 8 Volume 7 - Data Loading. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1013701.

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Lemonds, D. C AND M BOTTOM LOADING FURNACE TEST DATA. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/890197.

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Peters, T., D. Hobbs, and S. Fink. REVIEW OF ACTINIDE AND STRONTIUM LOADING DATA FOR MST AND MMST. Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/1041518.

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Anderson, Richard, Judith Vasil, and Philip Hunter. Installation Restoration Program Information Management System (IRPIMS) Data Loading Handbook. Version 2.1. Fort Belvoir, VA: Defense Technical Information Center, September 1989. http://dx.doi.org/10.21236/ada215883.

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C. L. Smith, K. J. Kvarfordt, and S. T. Wood. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) Data Loading Manual. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/911774.

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C. L. Smith, K. J. Kvarfordt, and S. T. Wood. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) Data Loading Manual. Office of Scientific and Technical Information (OSTI), August 2008. http://dx.doi.org/10.2172/941735.

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Gao, Xiaoming, and Judy Qiu. Comparing IndexedHBase and Riak for Serving Truthy: Performance of Data Loading and Query Evaluation. Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada603198.

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Fox, K., and T. Edwards. CHEMICAL COMPOSITION AND PCT DATA FOR THE INITIAL SET OF HANFORD ENHANCED WASTE LOADING GLASSES. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1133390.

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CALS TEST NETWORK WRIGHT-PATTERSON AFB OH. TMSS Parsing Test, MIL-M-9977J, Appendix F. Nonnuclear Munitions Loading Standard Data Packages, Document Type Definition. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada309285.

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VanHorn, R. L., L. M. Wolfram, R. D. Fowler, S. T. Beck, and C. L. Smith. Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) Version 5.0: Data loading manual. Volume 10. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/61182.

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