{"id":"https://openalex.org/W4385187220","doi":"https://doi.org/10.1109/iscas46773.2023.10181436","title":"In-material reservoir implementation of reservoir-based convolution","display_name":"In-material reservoir implementation of reservoir-based convolution","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4385187220","doi":"https://doi.org/10.1109/iscas46773.2023.10181436"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10181436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kyutech.repo.nii.ac.jp/records/2000027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071471877","display_name":"Yuichiro Tanaka","orcid":"https://orcid.org/0000-0001-6974-070X"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Tanaka","raw_affiliation_strings":["Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039975018","display_name":"Yuki Usami","orcid":"https://orcid.org/0000-0002-8583-325X"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Usami","raw_affiliation_strings":["Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053542795","display_name":"Hirofumi Tanaka","orcid":"https://orcid.org/0000-0002-4378-5747"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirofumi Tanaka","raw_affiliation_strings":["Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036848200","display_name":"Hakaru Tamukoh","orcid":"https://orcid.org/0000-0002-3669-1371"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hakaru Tamukoh","raw_affiliation_strings":["Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology,Kitakyushu,Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.9263476729393005},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7775406837463379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726511359214783},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7075738310813904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5304985046386719},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49730923771858215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49316519498825073},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4871363341808319},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4575892686843872},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4188710153102875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4048945903778076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33790624141693115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24495327472686768},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.22010251879692078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1176338791847229}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.9263476729393005},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7775406837463379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726511359214783},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7075738310813904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5304985046386719},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49730923771858215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49316519498825073},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4871363341808319},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4575892686843872},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4188710153102875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4048945903778076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33790624141693115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24495327472686768},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.22010251879692078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1176338791847229},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iscas46773.2023.10181436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01216:0005888731","is_oa":true,"landing_page_url":"https://kyutech.repo.nii.ac.jp/records/2000027","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"journal article"},{"id":"pmh:oai:irdb.nii.ac.jp:01216:0006371036","is_oa":true,"landing_page_url":"https://kyutech.repo.nii.ac.jp/records/2000909","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"journal article"},{"id":"pmh:oai:kyutech.repo.nii.ac.jp:02000027","is_oa":true,"landing_page_url":"http://hdl.handle.net/10228/0002000027","pdf_url":"https://kyutech.repo.nii.ac.jp/record/2000027/files/10406571.pdf","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"AM"},{"id":"pmh:oai:kyutech.repo.nii.ac.jp:02000909","is_oa":true,"landing_page_url":"http://hdl.handle.net/10228/0002000909","pdf_url":"https://kyutech.repo.nii.ac.jp/record/2000909/files/neuro_88.pdf","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"AM"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01216:0005888731","is_oa":true,"landing_page_url":"https://kyutech.repo.nii.ac.jp/records/2000027","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3988402964","display_name":"Development of ultra-low power consumption material reservoir using chemical dynamics of nanosystems","funder_award_id":"23K23168","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1972199170","https://openalex.org/W1981876061","https://openalex.org/W2103179919","https://openalex.org/W2112796928","https://openalex.org/W2136922672","https://openalex.org/W2268464208","https://openalex.org/W2272769310","https://openalex.org/W2584998015","https://openalex.org/W2613833839","https://openalex.org/W2734849756","https://openalex.org/W2750384547","https://openalex.org/W2902613830","https://openalex.org/W2903773117","https://openalex.org/W2960477732","https://openalex.org/W2963955913","https://openalex.org/W3012621877","https://openalex.org/W3022606092","https://openalex.org/W3026908024","https://openalex.org/W3033702205","https://openalex.org/W3100560308","https://openalex.org/W3118608800","https://openalex.org/W3171304419","https://openalex.org/W3200928000","https://openalex.org/W3215653334","https://openalex.org/W4225613608","https://openalex.org/W6741309055","https://openalex.org/W6797242198"],"related_works":["https://openalex.org/W2963891724","https://openalex.org/W3093612317","https://openalex.org/W4312417841","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W2810384904"],"abstract_inverted_index":{"This":[0],"study":[1],"aims":[2],"to":[3,16],"implement":[4],"a":[5,29,40,47,73],"reservoir-based":[6,31,74],"convolutional":[7],"neural":[8],"network":[9],"(CNN)":[10],"on":[11,76],"physical":[12,43],"reservoir":[13,38],"computing":[14],"(RC)":[15],"develop":[17],"an":[18,81,87,92],"efficient":[19],"image":[20,61,88],"recognition":[21],"system":[22,34,59],"for":[23],"edge":[24],"AI.":[25],"Therefore,":[26],"we":[27],"propose":[28],"novel":[30],"convolution":[32],"circuit":[33,58],"that":[35,55,72],"uses":[36],"in-material":[37,78],"computing,":[39],"type":[41],"of":[42,84],"RC":[44,79],"made":[45],"from":[46],"sulfonated":[48],"polyaniline":[49],"network.":[50],"The":[51],"experimental":[52],"results":[53],"demonstrate":[54],"the":[56,64,68,77],"proposed":[57],"extracts":[60],"features":[62],"in":[63,86],"same":[65],"way":[66],"as":[67],"original":[69],"CNN":[70,75,96],"and":[71],"achieves":[80,97],"accuracy":[82],"rate":[83],"81.7%":[85],"classification":[89],"task":[90],"while":[91],"echo":[93],"state":[94],"network-based":[95],"87.7%.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}