Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security
In this study, an intelligent and ingenious way of tracing the bearings of decomposed, crumbled and burnt food with the help of rule-based reasoning and Apothegm topiary has been presented. The interpretation procedure is strictly rule-based that includes finding references of the odour in the kitch...
Gespeichert in:
Veröffentlicht in: | Journal of Artificial Intelligence 2014, Vol.7 (4), p.172-181 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 181 |
---|---|
container_issue | 4 |
container_start_page | 172 |
container_title | Journal of Artificial Intelligence |
container_volume | 7 |
creator | Venkatesh, Veeramuthu Raj, Pethuru Vaithiyana, V. Amirtharaj, Rengarajan |
description | In this study, an intelligent and ingenious way of tracing the bearings of decomposed, crumbled and burnt food with the help of rule-based reasoning and Apothegm topiary has been presented. The interpretation procedure is strictly rule-based that includes finding references of the odour in the kitchen from various roots which includes: decayed food in the refrigerator, rotten things from the trash bin, some left outs in the wash basin and over cooked or burnt food in the oven. The inspiration for this research work came from the distinguished context-aware capability of Smart Sensor Networks. In this study, in this case, sensors are collaboratively figuring out the decayed and crumbled food particles that cause many diseases, which the authors are not aware of. The frame of reference is tried and tested in a smart kitchen, which is embedded with well suited and well-timed sensors that stakes the scoop of context-aware environment. Furthermore, this implementation collars the real time infrastructure tracking that includes laboratories, chemical factories and security concerning spheres. |
doi_str_mv | 10.3923/jai.2014.172.181 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1660077815</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1660077815</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1861-fa81e5cb9220e41e13b31d834a06d000beb49eda58051b67c91e4352158a0e53</originalsourceid><addsrcrecordid>eNotkD1PwzAYhC0EEhV0Z_TIkuDXH4nNVgoURCWGdrcc542aqo2LnQr13-Oq3HLL6XT3EPIArBSGi6et60vOQJZQ8xI0XJEJZ3VdcKjFNZmAMbJQUrFbMk1py7KkkRWDCVm89CHhkEJMtAuRLlyirziiH_swPNMZXe1dHOnscIjB-Q1dh18X20S_-tFvcKAr9MfYj6d7ctO5XcLpv9-R9fvbev5RLL8Xn_PZsvCgKyg6pwGVbwznDCUgiEZAq4V0rGrzrAYbabB1SjMFTVV7AyiF4qC0Y6jEHXm81OY5P0dMo933yeNu5wYMx2Shqlg-ruEcZZeojyGliJ09xD6fOVlg9kzNZmr2TM1majZTE397rF6Z</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1660077815</pqid></control><display><type>article</type><title>Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Science Alert</source><creator>Venkatesh, Veeramuthu ; Raj, Pethuru ; Vaithiyana, V. ; Amirtharaj, Rengarajan</creator><creatorcontrib>Venkatesh, Veeramuthu ; Raj, Pethuru ; Vaithiyana, V. ; Amirtharaj, Rengarajan</creatorcontrib><description>In this study, an intelligent and ingenious way of tracing the bearings of decomposed, crumbled and burnt food with the help of rule-based reasoning and Apothegm topiary has been presented. The interpretation procedure is strictly rule-based that includes finding references of the odour in the kitchen from various roots which includes: decayed food in the refrigerator, rotten things from the trash bin, some left outs in the wash basin and over cooked or burnt food in the oven. The inspiration for this research work came from the distinguished context-aware capability of Smart Sensor Networks. In this study, in this case, sensors are collaboratively figuring out the decayed and crumbled food particles that cause many diseases, which the authors are not aware of. The frame of reference is tried and tested in a smart kitchen, which is embedded with well suited and well-timed sensors that stakes the scoop of context-aware environment. Furthermore, this implementation collars the real time infrastructure tracking that includes laboratories, chemical factories and security concerning spheres.</description><identifier>ISSN: 1994-5450</identifier><identifier>EISSN: 2077-2173</identifier><identifier>DOI: 10.3923/jai.2014.172.181</identifier><language>eng</language><subject>Biosensors ; Collars ; Decay ; Diseases ; Foods ; Kitchens ; Refrigerators ; Security ; Sensors</subject><ispartof>Journal of Artificial Intelligence, 2014, Vol.7 (4), p.172-181</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1861-fa81e5cb9220e41e13b31d834a06d000beb49eda58051b67c91e4352158a0e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Venkatesh, Veeramuthu</creatorcontrib><creatorcontrib>Raj, Pethuru</creatorcontrib><creatorcontrib>Vaithiyana, V.</creatorcontrib><creatorcontrib>Amirtharaj, Rengarajan</creatorcontrib><title>Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security</title><title>Journal of Artificial Intelligence</title><description>In this study, an intelligent and ingenious way of tracing the bearings of decomposed, crumbled and burnt food with the help of rule-based reasoning and Apothegm topiary has been presented. The interpretation procedure is strictly rule-based that includes finding references of the odour in the kitchen from various roots which includes: decayed food in the refrigerator, rotten things from the trash bin, some left outs in the wash basin and over cooked or burnt food in the oven. The inspiration for this research work came from the distinguished context-aware capability of Smart Sensor Networks. In this study, in this case, sensors are collaboratively figuring out the decayed and crumbled food particles that cause many diseases, which the authors are not aware of. The frame of reference is tried and tested in a smart kitchen, which is embedded with well suited and well-timed sensors that stakes the scoop of context-aware environment. Furthermore, this implementation collars the real time infrastructure tracking that includes laboratories, chemical factories and security concerning spheres.</description><subject>Biosensors</subject><subject>Collars</subject><subject>Decay</subject><subject>Diseases</subject><subject>Foods</subject><subject>Kitchens</subject><subject>Refrigerators</subject><subject>Security</subject><subject>Sensors</subject><issn>1994-5450</issn><issn>2077-2173</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNotkD1PwzAYhC0EEhV0Z_TIkuDXH4nNVgoURCWGdrcc542aqo2LnQr13-Oq3HLL6XT3EPIArBSGi6et60vOQJZQ8xI0XJEJZ3VdcKjFNZmAMbJQUrFbMk1py7KkkRWDCVm89CHhkEJMtAuRLlyirziiH_swPNMZXe1dHOnscIjB-Q1dh18X20S_-tFvcKAr9MfYj6d7ctO5XcLpv9-R9fvbev5RLL8Xn_PZsvCgKyg6pwGVbwznDCUgiEZAq4V0rGrzrAYbabB1SjMFTVV7AyiF4qC0Y6jEHXm81OY5P0dMo933yeNu5wYMx2Shqlg-ruEcZZeojyGliJ09xD6fOVlg9kzNZmr2TM1majZTE397rF6Z</recordid><startdate>2014</startdate><enddate>2014</enddate><creator>Venkatesh, Veeramuthu</creator><creator>Raj, Pethuru</creator><creator>Vaithiyana, V.</creator><creator>Amirtharaj, Rengarajan</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2014</creationdate><title>Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security</title><author>Venkatesh, Veeramuthu ; Raj, Pethuru ; Vaithiyana, V. ; Amirtharaj, Rengarajan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1861-fa81e5cb9220e41e13b31d834a06d000beb49eda58051b67c91e4352158a0e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biosensors</topic><topic>Collars</topic><topic>Decay</topic><topic>Diseases</topic><topic>Foods</topic><topic>Kitchens</topic><topic>Refrigerators</topic><topic>Security</topic><topic>Sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Venkatesh, Veeramuthu</creatorcontrib><creatorcontrib>Raj, Pethuru</creatorcontrib><creatorcontrib>Vaithiyana, V.</creatorcontrib><creatorcontrib>Amirtharaj, Rengarajan</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of Artificial Intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Venkatesh, Veeramuthu</au><au>Raj, Pethuru</au><au>Vaithiyana, V.</au><au>Amirtharaj, Rengarajan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security</atitle><jtitle>Journal of Artificial Intelligence</jtitle><date>2014</date><risdate>2014</risdate><volume>7</volume><issue>4</issue><spage>172</spage><epage>181</epage><pages>172-181</pages><issn>1994-5450</issn><eissn>2077-2173</eissn><abstract>In this study, an intelligent and ingenious way of tracing the bearings of decomposed, crumbled and burnt food with the help of rule-based reasoning and Apothegm topiary has been presented. The interpretation procedure is strictly rule-based that includes finding references of the odour in the kitchen from various roots which includes: decayed food in the refrigerator, rotten things from the trash bin, some left outs in the wash basin and over cooked or burnt food in the oven. The inspiration for this research work came from the distinguished context-aware capability of Smart Sensor Networks. In this study, in this case, sensors are collaboratively figuring out the decayed and crumbled food particles that cause many diseases, which the authors are not aware of. The frame of reference is tried and tested in a smart kitchen, which is embedded with well suited and well-timed sensors that stakes the scoop of context-aware environment. Furthermore, this implementation collars the real time infrastructure tracking that includes laboratories, chemical factories and security concerning spheres.</abstract><doi>10.3923/jai.2014.172.181</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1994-5450 |
ispartof | Journal of Artificial Intelligence, 2014, Vol.7 (4), p.172-181 |
issn | 1994-5450 2077-2173 |
language | eng |
recordid | cdi_proquest_miscellaneous_1660077815 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Science Alert |
subjects | Biosensors Collars Decay Diseases Foods Kitchens Refrigerators Security Sensors |
title | Biosensors for Gas Detection: A Smart Approach Towards Kitchen Security |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T10%3A46%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Biosensors%20for%20Gas%20Detection:%20A%20Smart%20Approach%20Towards%20Kitchen%20Security&rft.jtitle=Journal%20of%20Artificial%20Intelligence&rft.au=Venkatesh,%20Veeramuthu&rft.date=2014&rft.volume=7&rft.issue=4&rft.spage=172&rft.epage=181&rft.pages=172-181&rft.issn=1994-5450&rft.eissn=2077-2173&rft_id=info:doi/10.3923/jai.2014.172.181&rft_dat=%3Cproquest_cross%3E1660077815%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1660077815&rft_id=info:pmid/&rfr_iscdi=true |