{"id":"https://openalex.org/W2956656917","doi":"https://doi.org/10.3390/rs11141635","title":"GPU-Based Lossless Compression of Aurora Spectral Data using Online DPCM","display_name":"GPU-Based Lossless Compression of Aurora Spectral Data using Online DPCM","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2956656917","doi":"https://doi.org/10.3390/rs11141635","mag":"2956656917"},"language":"en","primary_location":{"id":"doi:10.3390/rs11141635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141635","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs11141635","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069014437","display_name":"Jiaojiao Li","orcid":"https://orcid.org/0000-0002-8477-6652"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020429493","display_name":"Jiaji Wu","orcid":"https://orcid.org/0000-0003-3769-0271"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaji Wu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049449184","display_name":"Gwanggil Jeon","orcid":"https://orcid.org/0000-0002-0651-4278"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Gwanggil Jeon","raw_affiliation_strings":["Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea","School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","School of Electronic Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea","institution_ids":["https://openalex.org/I146429904"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020429493"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42272981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"14","first_page":"1635","last_page":"1635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8321421146392822},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.8227783441543579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8005312085151672},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.614934504032135},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4768720269203186},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4626828730106354},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4295319616794586},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37557539343833923},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.35159778594970703},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.32241785526275635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30358177423477173},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0834711492061615}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8321421146392822},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8227783441543579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005312085151672},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.614934504032135},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4768720269203186},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4626828730106354},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4295319616794586},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37557539343833923},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.35159778594970703},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32241785526275635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30358177423477173},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0834711492061615},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11141635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141635","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8588d0e717c342748eee9ca65d17523b","is_oa":true,"landing_page_url":"https://doaj.org/article/8588d0e717c342748eee9ca65d17523b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 14, p 1635 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/14/1635/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11141635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 14; Pages: 1635","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11141635","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11141635","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.47999998927116394,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1513817866","https://openalex.org/W1523411787","https://openalex.org/W1903366196","https://openalex.org/W2029328220","https://openalex.org/W2031928868","https://openalex.org/W2075463824","https://openalex.org/W2096445898","https://openalex.org/W2096616810","https://openalex.org/W2105581333","https://openalex.org/W2112707104","https://openalex.org/W2122092891","https://openalex.org/W2131499030","https://openalex.org/W2141084005","https://openalex.org/W2148009915","https://openalex.org/W2153638435","https://openalex.org/W2157352940","https://openalex.org/W2161011966","https://openalex.org/W2161488606","https://openalex.org/W2161628678","https://openalex.org/W2164790787","https://openalex.org/W2164918150","https://openalex.org/W2168202799","https://openalex.org/W2171033838","https://openalex.org/W2533455982","https://openalex.org/W2553528225","https://openalex.org/W2622458132","https://openalex.org/W2764205729","https://openalex.org/W2766848324","https://openalex.org/W2990075684","https://openalex.org/W4229510625","https://openalex.org/W6631497757","https://openalex.org/W6770669002"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401","https://openalex.org/W2032414556","https://openalex.org/W3008492011"],"abstract_inverted_index":{"It":[0],"is":[1,19,39,86,97,129,157],"well":[2],"known":[3],"that":[4],"aurorae":[5],"have":[6],"very":[7,20],"high":[8],"research":[9],"value,":[10],"but":[11],"the":[12,53,63,67,77,81,88,91,95,99,102,105,114,126,143,161],"data":[13,18,38,120,166],"volume":[14],"of":[15,35,52,66,80,90,101,147,175],"aurora":[16,36,68,149,164],"spectral":[17,37,69,150,165],"large,":[21],"which":[22,156],"brings":[23],"great":[24],"challenges":[25],"to":[26,75,117],"storage":[27],"and":[28,94,122,135,170,179],"transmission.":[29],"To":[30],"alleviate":[31],"this":[32],"problem,":[33],"compression":[34,65,78,145],"indispensable.":[40],"This":[41],"paper":[42],"presents":[43],"a":[44,110,132,173],"parallel":[45],"Compute":[46],"Unified":[47],"Device":[48],"Architecture":[49],"(CUDA)":[50],"implementation":[51,128],"prediction-based":[54],"online":[55,82],"Differential":[56],"Pulse":[57],"Code":[58],"Modulation":[59],"(DPCM)":[60],"method":[61,112],"for":[62,113,177],"lossless":[64],"data.":[70],"Two":[71],"improvements":[72],"are":[73],"proposed":[74,109],"improve":[76],"performance":[79],"DPCM":[83],"method.":[84],"One":[85],"on":[87,98],"computing":[89],"prediction":[92],"coefficients,":[93],"other":[96,180],"encoding":[100],"residual.":[103],"In":[104,124],"CUDA":[106,127],"implementation,":[107],"we":[108],"decomposition":[111],"matrix":[115],"multiplication":[116],"avoid":[118],"redundant":[119],"accesses":[121],"calculations.":[123],"addition,":[125],"optimized":[130],"with":[131],"multi-stream":[133],"technique":[134],"multi-graphics":[136],"processing":[137],"unit":[138],"(GPU)":[139],"technique,":[140],"respectively.":[141],"Finally,":[142],"average":[144],"time":[146,168,176],"an":[148],"image":[151],"reaches":[152],"about":[153],"0.06":[154],"s,":[155],"much":[158],"less":[159],"than":[160],"15":[162],"s":[163],"acquisition":[167],"interval":[169],"can":[171],"save":[172],"lot":[174],"transmission":[178],"subsequent":[181],"tasks.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}