{"id":"https://openalex.org/W2138280914","doi":"https://doi.org/10.1109/icmech.2015.7083960","title":"A quantization method for haptic data lossy compression","display_name":"A quantization method for haptic data lossy compression","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2138280914","doi":"https://doi.org/10.1109/icmech.2015.7083960","mag":"2138280914"},"language":"en","primary_location":{"id":"doi:10.1109/icmech.2015.7083960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2015.7083960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Mechatronics (ICM)","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/A5071773385","display_name":"Tomohiro Nakano","orcid":"https://orcid.org/0000-0001-9534-5121"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiro Nakano","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan","Graduate school of Science and Technology, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Graduate school of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052514214","display_name":"Seiji Uozumi","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiji Uozumi","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan","Graduate school of Science and Technology, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Graduate school of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084540714","display_name":"Rolf Johansson","orcid":"https://orcid.org/0000-0002-0786-8561"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rolf Johansson","raw_affiliation_strings":["Department of Automatic Control, Lund University, Lund, Sweden","department of Automatic Control, Lund University, Lund, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]},{"raw_affiliation_string":"department of Automatic Control, Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041501484","display_name":"Kouhei Ohnishi","orcid":"https://orcid.org/0000-0002-0785-3992"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouhei Ohnishi","raw_affiliation_strings":["Department of System Design Engineering, Keio University, Yokohama, Japan","[Dept. of System Design Engineering, Keio University, Yokohama, Japan]"],"affiliations":[{"raw_affiliation_string":"Department of System Design Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"[Dept. of System Design Engineering, Keio University, Yokohama, Japan]","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071773385"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":1.2648,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80635313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8947421312332153},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.8142083883285522},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7664023637771606},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7316021919250488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951044201850891},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6645382046699524},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5196900963783264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47463545203208923},{"id":"https://openalex.org/keywords/trellis-quantization","display_name":"Trellis quantization","score":0.47421932220458984},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4700765907764435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4134260416030884},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.2889561355113983},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.10570657253265381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07555767893791199}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8947421312332153},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.8142083883285522},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7664023637771606},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7316021919250488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951044201850891},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6645382046699524},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5196900963783264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47463545203208923},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.47421932220458984},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4700765907764435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4134260416030884},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2889561355113983},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.10570657253265381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07555767893791199}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmech.2015.7083960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2015.7083960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Mechatronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1966252081","https://openalex.org/W1972663949","https://openalex.org/W1982999709","https://openalex.org/W2004332184","https://openalex.org/W2031614119","https://openalex.org/W2041527012","https://openalex.org/W2058897570","https://openalex.org/W2059521275","https://openalex.org/W2096323098","https://openalex.org/W2099469159","https://openalex.org/W2099514787","https://openalex.org/W2102279668","https://openalex.org/W2119667497","https://openalex.org/W2127917199","https://openalex.org/W2146323064","https://openalex.org/W2159461799","https://openalex.org/W2329778779","https://openalex.org/W2510129027","https://openalex.org/W4242059591"],"related_works":["https://openalex.org/W2146506178","https://openalex.org/W2046531407","https://openalex.org/W2101873178","https://openalex.org/W2494311197","https://openalex.org/W2100366266","https://openalex.org/W2113996301","https://openalex.org/W2964816386","https://openalex.org/W2344772998","https://openalex.org/W3202870363","https://openalex.org/W2612631671"],"abstract_inverted_index":{"In":[0,103],"this":[1,76],"paper,":[2],"a":[3,19,36,90,93],"quantization":[4,80],"scheme":[5,81],"for":[6,68],"haptic":[7,43,55,73],"data":[8,26,32,40,44,56,74],"compression":[9,27,41,71],"is":[10,57,66,86,101],"proposed":[11,91,110],"and":[12,30],"the":[13,39,52,69,104,106,109],"results":[14],"of":[15,28,42,54,72,84,108],"its":[16],"application":[17],"to":[18,98],"motion":[20],"copying":[21],"system":[22],"are":[23],"described.":[24],"The":[25,61],"image":[29],"audio":[31],"has":[33,45],"been":[34,47],"researched":[35,49],"lot.":[37],"However,":[38],"not":[46],"much":[48],"yet":[50],"although":[51],"amount":[53],"large":[58],"in":[59,75],"general.":[60],"discrete":[62],"cosine":[63],"transform":[64],"(DCT)":[65],"used":[67],"lossy":[70],"paper.":[77],"A":[78],"new":[79],"using":[82,89],"characteristics":[83],"DCT":[85],"proposed.":[87],"By":[88],"method,":[92],"larger":[94],"signal-to-noise":[95],"ratio":[96],"compared":[97],"conventional":[99],"method":[100,111],"achieved.":[102],"experiment,":[105],"validity":[107],"was":[112],"verified.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
