{"id":"https://openalex.org/W4406861433","doi":"https://doi.org/10.1109/cscn63874.2024.10849707","title":"An Immersive Visualization System to Study UWB Propagation Channel in Smart Pills Applications","display_name":"An Immersive Visualization System to Study UWB Propagation Channel in Smart Pills Applications","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4406861433","doi":"https://doi.org/10.1109/cscn63874.2024.10849707"},"language":"en","primary_location":{"id":"doi:10.1109/cscn63874.2024.10849707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn63874.2024.10849707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Standards for Communications and Networking (CSCN)","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/A5092716591","display_name":"Katjana Ladic","orcid":"https://orcid.org/0009-0008-4691-0671"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katjana Ladic","raw_affiliation_strings":["Dakota Consulting, Inc,Silver Spring,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dakota Consulting, Inc,Silver Spring,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024047419","display_name":"Kamran Sayrafian","orcid":"https://orcid.org/0000-0002-1395-7448"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamran Sayrafian","raw_affiliation_strings":["National Institute of Standards & Technology,Gaithersburg,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards & Technology,Gaithersburg,USA","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088260563","display_name":"Kamya Yekeh Yazdandoost","orcid":"https://orcid.org/0000-0001-9695-1342"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kamya Yekeh Yazdandoost","raw_affiliation_strings":["KDDI Research Inc,Saitama,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research Inc,Saitama,Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9742000102996826,"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":0.9742000102996826,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.973800003528595,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.6887099742889404},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6685933470726013},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5129280090332031},{"id":"https://openalex.org/keywords/pill","display_name":"Pill","score":0.49381670355796814},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.47635793685913086},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.37248626351356506},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37098753452301025},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23899826407432556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13272354006767273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887099742889404},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6685933470726013},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5129280090332031},{"id":"https://openalex.org/C81603835","wikidata":"https://www.wikidata.org/wiki/Q3457430","display_name":"Pill","level":2,"score":0.49381670355796814},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.47635793685913086},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.37248626351356506},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37098753452301025},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23899826407432556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13272354006767273},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn63874.2024.10849707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn63874.2024.10849707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1480836988","https://openalex.org/W1973458549","https://openalex.org/W2044239445","https://openalex.org/W2100369609","https://openalex.org/W2539629226","https://openalex.org/W2539934758","https://openalex.org/W2562147283","https://openalex.org/W2905644375","https://openalex.org/W2908549615","https://openalex.org/W3011517497","https://openalex.org/W3209730559","https://openalex.org/W4399179612"],"related_works":["https://openalex.org/W2281596493","https://openalex.org/W2385522019","https://openalex.org/W2992184181","https://openalex.org/W4242814848","https://openalex.org/W4230097952","https://openalex.org/W2414997714","https://openalex.org/W2769812682","https://openalex.org/W1843227692","https://openalex.org/W2274307249","https://openalex.org/W2142374356"],"abstract_inverted_index":{"Understanding":[0],"the":[1,43,70,100,121,138,142,146,153,159,162,178,189,192],"radio":[2],"frequency":[3],"(RF)":[4],"propagation":[5,72],"channel":[6,73,123,172],"in":[7,74,152],"a":[8,29,47,58,75,85,108,114],"wireless":[9,197],"communication":[10],"link":[11],"is":[12,28,110,185],"essential":[13],"for":[14,50,124],"efficient":[15],"transceiver":[16],"design.":[17],"For":[18],"ingestible":[19],"electronics":[20],"such":[21],"as":[22,94,96,165,167],"smart":[23,78],"pills,":[24],"obtaining":[25],"this":[26,54,106],"knowledge":[27],"challenging":[30],"task.":[31],"Fading":[32],"robustness,":[33],"low":[34],"power":[35],"consumption":[36],"and":[37,90],"high":[38],"data":[39],"rates":[40],"have":[41],"made":[42],"Ultra-Wideband":[44],"(UWB)":[45],"technology":[46],"viable":[48],"candidate":[49],"these":[51],"applications.":[52,80],"In":[53],"paper,":[55],"we":[56],"present":[57],"novel":[59],"3D":[60],"immersive":[61,82,147],"visualization":[62],"system":[63,83],"that":[64,184],"can":[65],"be":[66],"used":[67],"to":[68,112,133,177],"study":[69],"UWB":[71,122],"variety":[76],"of":[77,99,137,161,191],"pill":[79],"The":[81,127,149,171],"includes":[84],"detailed":[86],"computational":[87],"human":[88],"body":[89,169],"gastrointestinal":[91],"tract":[92],"models":[93,98],"well":[95,166],"verified":[97],"antennas.":[101],"As":[102],"an":[103,130],"example,":[104],"using":[105,145],"system,":[107],"methodology":[109,128],"presented":[111],"obtain":[113],"more":[115],"accurate":[116],"statistical":[117],"pathloss":[118,155],"model":[119,156,173],"representing":[120],"capsule":[125,139],"endoscopy.":[126],"involves":[129],"interactive":[131],"procedure":[132],"identify":[134],"proper":[135],"positions":[136],"antenna":[140,163],"inside":[141],"small":[143],"intestine":[144],"platform.":[148],"fading":[150],"component":[151],"resulting":[154],"effectively":[157],"captures":[158],"impact":[160],"orientation":[164],"various":[168],"tissues.":[170],"has":[174],"been":[175],"contributed":[176],"IEEE":[179,194],"802.15":[180],"Task":[181],"Group":[182],"6ma":[183],"currently":[186],"working":[187],"on":[188,196],"revision":[190],"Standard":[193],"802.15.62012":[195],"Body":[198],"Area":[199],"Networks.":[200]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}