{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/102424"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/102424","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of a database for alternative jet fuels","abstract":"This work describes the development and benefits of a database for alternative jet fuels. Data on alternative jet fuels, conventional jet fuels and blends of alternative and conventional jet fuels were collected from the Air Force Research Lab, Metron Aviation and Petroleum Quality Information System. This data was converted to a JSON (JavaScript Object Notation) form and uploaded to the nonrelational database, DynamoDB. Accessing this data with python scripts, various graphs were produced to analyze data. Stacked histograms were used to visually represent fuel composition and to better understand how the production pathway influences the chemical composition of the fuel. Distillation curves and boxplots were used to identify and isolate erroneous data, and Multivariate Linear Regression analysis was performed to understand the relationship among various fuel properties.","abstract_html":"This work describes the development and benefits of a database for alternative jet fuels. Data on alternative jet fuels, conventional jet fuels and blends of alternative and conventional jet fuels were collected from the Air Force Research Lab, Metron Aviation and Petroleum Quality Information System. This data was converted to a JSON (JavaScript Object Notation) form and uploaded to the nonrelational database, DynamoDB. Accessing this data with python scripts, various graphs were produced to analyze data. Stacked histograms were used to visually represent fuel composition and to better understand how the production pathway influences the chemical composition of the fuel. Distillation curves and boxplots were used to identify and isolate erroneous data, and Multivariate Linear Regression analysis was performed to understand the relationship among various fuel properties.","abstract_has_math":false,"creators":["Jahorie, Siddhartha"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Lee, Tonghun"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-02-06T19:32:49Z","date_published":"2019-02-06T19:32:49Z","updated_at":"2026-07-22T22:24:40Z","subjects":["Alternative Jet Fuels","Database"],"languages":["en"],"rights":["Copyright 2018 Siddhartha Jahorie"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/102424","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lee, Tonghun"]},{"key":"dc:creator","label":"Author","values":["Jahorie, Siddhartha"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-02-06T19:32:49Z","2018-11-06","2018-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Alternative Jet Fuels","Database"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Siddhartha Jahorie"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/102424"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This work describes the development and benefits of a database for alternative jet fuels. Data on alternative jet fuels, conventional jet fuels and blends of alternative and conventional jet fuels were collected from the Air Force Research Lab, Metron Aviation and Petroleum Quality Information System. This data was converted to a JSON (JavaScript Object Notation) form and uploaded to the nonrelational database, DynamoDB. Accessing this data with python scripts, various graphs were produced to analyze data. Stacked histograms were used to visually represent fuel composition and to better understand how the production pathway influences the chemical composition of the fuel. Distillation curves and boxplots were used to identify and isolate erroneous data, and Multivariate Linear Regression analysis was performed to understand the relationship among various fuel properties.","Submission original under an indefinite embargo labeled 'Open Access'. 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Accessing this data with python scripts, various graphs were produced to analyze data. Stacked histograms were used to visually represent fuel composition and to better understand how the production pathway influences the chemical composition of the fuel. Distillation curves and boxplots were used to identify and isolate erroneous data, and Multivariate Linear Regression analysis was performed to understand the relationship among various fuel properties.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-02-05 without embargo terms","The student, Siddhartha Jahorie, accepted the attached license on 2018-11-05 at 10:02.","The student, Siddhartha Jahorie, submitted this Thesis for approval on 2018-11-05 at 10:04.","This Thesis was approved for publication on 2018-11-06 at 12:16.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13059 on 2019-02-05 at 11:08:52","Made available in DSpace on 2019-02-06T19:32:49Z (GMT). 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