{"id":"https://openalex.org/W2914618410","doi":"https://doi.org/10.1145/3316781.3317933","title":"XBioSiP","display_name":"XBioSiP","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2914618410","doi":"https://doi.org/10.1145/3316781.3317933","mag":"2914618410"},"language":"en","primary_location":{"id":"doi:10.1145/3316781.3317933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.02649","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bharath Srinivas Prabakaran","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Bharath Srinivas Prabakaran","raw_affiliation_strings":["Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Semeen Rehman","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Semeen Rehman","raw_affiliation_strings":["Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Muhammad Shafique","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Muhammad Shafique","raw_affiliation_strings":["Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien (TU Wien), Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.7977,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.69308344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9993000030517578,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9993000030517578,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9984999895095825,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9983999729156494,"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/energy-consumption","display_name":"Energy consumption","score":0.6104999780654907},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5375999808311462},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.484499990940094},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4359999895095825},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.33059999346733093},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.2962000072002411}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6104999780654907},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5164999961853027},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.484499990940094},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41999998688697815},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25209999084472656},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3316781.3317933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.02649","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.02649","pdf_url":"https://arxiv.org/pdf/1902.02649","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1902.02649","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.02649","pdf_url":"https://arxiv.org/pdf/1902.02649","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2005865544","https://openalex.org/W2012194400","https://openalex.org/W2026005150","https://openalex.org/W2030922317","https://openalex.org/W2069700752","https://openalex.org/W2076953400","https://openalex.org/W2106484393","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2265166184","https://openalex.org/W2266175888","https://openalex.org/W2399535694","https://openalex.org/W2411972054","https://openalex.org/W2535375934","https://openalex.org/W2766894515","https://openalex.org/W3003708730","https://openalex.org/W3141620748","https://openalex.org/W4238977659"],"related_works":[],"abstract_inverted_index":{"Bio-signals":[0],"exhibit":[1],"high":[2,65],"redundancy,":[3],"and":[4,53,80,95],"the":[5,21,27,51,59,70,84],"algorithms":[6],"for":[7,40,93],"their":[8],"processing":[9,43,55],"are":[10],"inherently":[11],"error":[12],"resilient.":[13],"This":[14,33],"property":[15],"can":[16],"be":[17],"leveraged":[18],"to":[19,57,78],"improve":[20],"energy-efficiency":[22],"of":[23,30,87],"IoT-Edge":[24],"(wearables)":[25],"through":[26],"emerging":[28],"trend":[29],"approximate":[31,41],"computing.":[32],"paper":[34],"presents":[35],"XBioSiP,":[36],"a":[37,88],"novel":[38],"methodology":[39,75],"bio-signal":[42,54],"that":[44],"employs":[45],"two":[46],"quality":[47,72],"evaluation":[48],"stages,":[49,56],"during":[50],"pre-processing":[52],"determine":[58],"approximation":[60],"parameters.":[61],"It":[62],"thereby":[63],"achieves":[64],"energy":[66,85],"savings":[67],"while":[68],"satisfying":[69],"user-determined":[71],"constraint.":[73],"Our":[74],"achieves,":[76],"up":[77],"19\u00d7":[79],"22\u00d7":[81],"reduction":[82],"in":[83,99],"consumption":[86],"QRS":[89],"peak":[90,100],"detection":[91,101],"algorithm":[92],"0%":[94],"<":[96],"1%":[97],"loss":[98],"accuracy,":[102],"respectively.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"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":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2019-02-21T00:00:00"}
