{"id":"https://openalex.org/W1963899618","doi":"https://doi.org/10.1109/iros.2014.6942817","title":"An adaptive basic I/O gain tuning method based on leveling control input histogram for human-machine systems","display_name":"An adaptive basic I/O gain tuning method based on leveling control input histogram for human-machine systems","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1963899618","doi":"https://doi.org/10.1109/iros.2014.6942817","mag":"1963899618"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2014.6942817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001851501","display_name":"Mitsuhiro Kamezaki","orcid":"https://orcid.org/0000-0002-4377-8993"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuhiro Kamezaki","raw_affiliation_strings":["Research Institute for Science and Engineering (RISE), Waseda University, Shinjuku-ku, Tokyo, Japan","Waseda Research Institute for Science and Engineering#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Science and Engineering (RISE), Waseda University, Shinjuku-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering#TAB#","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101028615","display_name":"Hiroyasu Iwata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroyasu Iwata","raw_affiliation_strings":["Department of Modern Mechanical Engineering, Green Computing System Research and Development Center, Shinjuku-ku, Tokyo, Japan","School of Creative Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Modern Mechanical Engineering, Green Computing System Research and Development Center, Shinjuku-ku, Tokyo, Japan","institution_ids":[]},{"raw_affiliation_string":"School of Creative Science and Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080654277","display_name":"Shigeki Sugano","orcid":"https://orcid.org/0000-0002-9331-2446"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeki Sugano","raw_affiliation_strings":["Department of Modern Mechanical Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan","School of Creative Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Modern Mechanical Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Creative Science and Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1926","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9749000072479248,"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/computer-science","display_name":"Computer science","score":0.6912360191345215},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6490142345428467},{"id":"https://openalex.org/keywords/automatic-gain-control","display_name":"Automatic gain control","score":0.5410093665122986},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4932062029838562},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4556047320365906},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.42362451553344727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35501593351364136},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.35189568996429443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18686789274215698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07938721776008606},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.06861671805381775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912360191345215},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6490142345428467},{"id":"https://openalex.org/C177502760","wikidata":"https://www.wikidata.org/wiki/Q782524","display_name":"Automatic gain control","level":4,"score":0.5410093665122986},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4932062029838562},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4556047320365906},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.42362451553344727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35501593351364136},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35189568996429443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18686789274215698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07938721776008606},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.06861671805381775},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2014.6942817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982318075","https://openalex.org/W1982762266","https://openalex.org/W1983491908","https://openalex.org/W1991263520","https://openalex.org/W2015668054","https://openalex.org/W2051833415","https://openalex.org/W2082312730","https://openalex.org/W2120253569","https://openalex.org/W2124041867","https://openalex.org/W2136350511","https://openalex.org/W2157289187","https://openalex.org/W2167392541","https://openalex.org/W2170382513","https://openalex.org/W2171012501","https://openalex.org/W6645911998"],"related_works":["https://openalex.org/W2362660065","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W2969358681","https://openalex.org/W2107122120","https://openalex.org/W2112559358","https://openalex.org/W194970950","https://openalex.org/W2342009288"],"abstract_inverted_index":{"A":[0],"method":[1],"to":[2,10,85,122,135],"tune":[3],"a":[4,23,39,56,101,130,136,140,144,172,199],"basic":[5],"input/output":[6],"gain":[7,40],"(BIOG)":[8],"according":[9],"usage":[11],"conditions":[12],"for":[13,18],"human-machine":[14],"systems":[15],"is":[16,25,83,133],"proposed":[17,52,180],"improving":[19,30],"work":[20,33,70,113],"performance.":[21],"Adapting":[22],"BIOG":[24,57,131,181,202],"effective":[26],"in":[27,67,100],"terms":[28],"of":[29,64,76,93,109,153,166],"operability":[31,45],"and":[32,69,112,128,143,160],"efficiency,":[34],"but":[35],"frequent":[36],"changes":[37],"using":[38,171],"scheduling":[41],"strategy":[42],"degrade":[43],"the":[44,48,62,74,86,94,106,116,157,179,189,194],"by":[46,150,187],"confusing":[47],"machine":[49],"dynamics.":[50],"The":[51,80],"tuning":[53,182],"system":[54,183],"adjusts":[55],"at":[58],"long":[59],"intervals":[60],"on":[61],"basis":[63],"comprehensive":[65],"features":[66],"operator":[68,111],"content":[71,114],"obtained":[72,158],"from":[73],"histogram":[75,107,159],"control":[77,95],"lever":[78,96],"input.":[79],"target":[81],"value":[82],"set":[84,134],"normal":[87,161],"distribution,":[88],"meaning":[89],"that":[90,147,178],"all":[91],"ranges":[92],"are":[97,148],"evenly":[98],"used":[99],"spring-type":[102],"lever,":[103],"as":[104],"leveling":[105],"independent":[108],"an":[110],"provides":[115],"consistent":[117],"operational":[118],"feeling,":[119],"which":[120],"leads":[121],"comfortable":[123],"operability.":[124],"To":[125],"ensure":[126],"practicality":[127],"effectiveness,":[129],"curve":[132],"polygonal":[137],"line":[138],"involving":[139],"break":[141],"point":[142,146],"saturation":[145],"tuned":[149],"equivalent":[151],"transform":[152],"area":[154,190],"differences":[155],"between":[156],"distribution":[162],"curves.":[163],"Two":[164],"types":[165],"experimental":[167],"task":[168],"were":[169],"performed":[170],"hydraulic":[173],"arm":[174],"system.":[175,203],"Results":[176],"showed":[177],"improves":[184],"time":[185],"efficiency":[186],"reducing":[188],"difference":[191],"while":[192],"increasing":[193],"subjective":[195],"usability":[196],"compared":[197],"with":[198],"conventional":[200],"fixed":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}