{"id":"https://openalex.org/W4391410250","doi":"https://doi.org/10.1109/mwscas57524.2023.10406095","title":"In-Memory-Computing (IMC) Technique in Local Difference Decision Block of an On-Board Satellite Hyperspectral Data Compression Algorithm","display_name":"In-Memory-Computing (IMC) Technique in Local Difference Decision Block of an On-Board Satellite Hyperspectral Data Compression Algorithm","publication_year":2023,"publication_date":"2023-08-06","ids":{"openalex":"https://openalex.org/W4391410250","doi":"https://doi.org/10.1109/mwscas57524.2023.10406095"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas57524.2023.10406095","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas57524.2023.10406095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060090245","display_name":"Vijay Joshi","orcid":"https://orcid.org/0000-0001-8220-5787"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vijay Joshi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048661512","display_name":"J. Sheeba Rani","orcid":"https://orcid.org/0000-0002-4098-3529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheeba Rani J","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060090245"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55003956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"536","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9916999936103821,"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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765390157699585},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5661049485206604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.562584400177002},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5468307733535767},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4703255891799927},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4527478814125061},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4390672743320465},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36837905645370483},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.366357684135437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17300021648406982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10687294602394104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765390157699585},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5661049485206604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.562584400177002},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5468307733535767},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4703255891799927},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4527478814125061},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4390672743320465},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36837905645370483},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.366357684135437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17300021648406982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10687294602394104},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas57524.2023.10406095","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas57524.2023.10406095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W7060617","https://openalex.org/W2151795634","https://openalex.org/W2775637085","https://openalex.org/W2790556218","https://openalex.org/W2824505125","https://openalex.org/W2900643002","https://openalex.org/W2946271436","https://openalex.org/W3026022732","https://openalex.org/W3090758245","https://openalex.org/W3104353813","https://openalex.org/W3134304371","https://openalex.org/W3201362361","https://openalex.org/W4220785886","https://openalex.org/W4298335083","https://openalex.org/W4307175153","https://openalex.org/W4376464564","https://openalex.org/W6846279375"],"related_works":["https://openalex.org/W2279964071","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/W2057878850","https://openalex.org/W2169871401"],"abstract_inverted_index":{"Due":[0],"to":[1,39,82,94,104,111,162,209,220],"high":[2],"data":[3,8,15,61],"acquisition":[4],"rates":[5],"and":[6,33,46,89,110,145,178,193],"large":[7],"volumes,":[9],"on-board":[10,23,58],"hyperspectral":[11,60],"imagery":[12],"(HSI)":[13],"demands":[14],"compression":[16],"before":[17],"transmission.":[18],"The":[19,50,134,186,213],"major":[20],"bottleneck":[21],"in":[22,72,85,97,201],"implementation":[24],"of":[25,31,76,91,101,108,128,195,199,216],"algorithms":[26],"is":[27,160,174,218,231],"the":[28,37,48,98,106,122,129,142,150,155,210,223],"limited":[29],"availability":[30],"power":[32,87,113,206],"resources":[34],"along":[35],"with":[36],"need":[38],"be":[40],"less":[41],"error":[42,92,109,214],"prone":[43],"while":[44],"accessing":[45],"processing":[47,228],"data.":[49],"recently":[51],"proposed":[52,187],"simple":[53],"lossless":[54],"algorithm":[55],"(SLA)":[56],"for":[57,121,131,149,182,227],"satellite":[59],"compression,":[62],"performs":[63],"~80%":[64],"calculations":[65],"by":[66,233],"utilizing":[67],"previous":[68],"neighborhood":[69],"pixels,":[70],"which":[71],"turn":[73],"requires":[74,146],"majority":[75],"memory":[77,172,191,225],"access.":[78],"This":[79],"may":[80],"lead":[81],"an":[83],"increase":[84],"overall":[86],"dissipation":[88],"probability":[90,107],"due":[93],"bit":[95,171],"flips":[96],"von-Neumann":[99,177,211],"architectures":[100],"SLA.":[102],"Thus,":[103],"reduce":[105],"improve":[112],"efficiency,":[114],"this":[115],"work":[116],"adopts":[117],"in-memory-computing":[118],"(IMC)":[119],"technique":[120],"local":[123],"difference":[124,140],"(LD)":[125],"decision":[126,136,184],"block":[127,137],"SLA":[130,217],"non-overlapping":[132,169],"case.":[133],"LD":[135,183],"calculates":[138],"absolute":[139],"between":[141,165],"neighboring":[143],"pixels":[144],"XOR":[147,164],"operation":[148],"same.":[151],"To":[152],"perform":[153],"IMC,":[154],"SRAM":[156],"cell":[157,173],"from":[158],"literature":[159],"modified":[161],"get":[163],"two":[166],"pixels.":[167],"A":[168],"(6*16)":[170],"implemented":[175],"using":[176,196],"IMC":[179],"based":[180],"architecture":[181,188],"block.":[185],"allows":[189],"reduced":[190,232],"overheads":[192],"instead":[194],"more":[197],"number":[198],"transistors":[200],"a":[202,229],"cell,":[203],"consumes":[204],"comparable":[205],"when":[207],"compared":[208],"architecture.":[212],"resilience":[215],"expected":[219],"improve,":[221],"as":[222],"total":[224],"access":[226],"pixel":[230],"21.42%.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
