Integrating multimedia and artifical intelligence for pest prediction and aeration control of stored grain bins
In the present study, an intelligent system with human-machine interface of knowledge acquisition is established to implement the pest prediction and the aeration control of stored grain bins. In the system, recurrent neuro-fuzzy network models are proposed to predict temperature evolvement in the g...
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| creator | Xiujuan Liu Chunguang Wang Yunhong Su Tieyu Hu |
| description | In the present study, an intelligent system with human-machine interface of knowledge acquisition is established to implement the pest prediction and the aeration control of stored grain bins. In the system, recurrent neuro-fuzzy network models are proposed to predict temperature evolvement in the grain bins. 3D multimedia displays of node sensor-measured temperatures, and its gradient distributions of the given grain layer and their variations in the interval of the given time are used to extract the system knowledge in the current and future. The results of the experiment in the two grain depots in northeastern China have verified the effectiveness of the system. |
| doi_str_mv | 10.1109/ICEMI.2009.5274158 |
| format | Conference Proceeding |
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The results of the experiment in the two grain depots in northeastern China have verified the effectiveness of the system.</description><subject>aeration control</subject><subject>Control systems</subject><subject>Fuzzy neural networks</subject><subject>Grain storage</subject><subject>Intelligent sensors</subject><subject>Intelligent systems</subject><subject>Knowledge acquisition</subject><subject>Man machine systems</subject><subject>Multimedia systems</subject><subject>pest prediction</subject><subject>Predictive models</subject><subject>recurrent neuro-fuzzy network</subject><subject>Temperature distribution</subject><subject>Temperature sensors</subject><subject>wireless communication</subject><isbn>1424438632</isbn><isbn>9781424438631</isbn><isbn>1424438640</isbn><isbn>9781424438648</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkEFLAzEUhCNSUGv_gF7yB1pfsnnZzVFK1YWKl95Lkk1KZJuUbDz4701pwbk8Bj7mDUPIE4MVY6Be-vXms19xALVC3gqG3Q15YIIL0XRSwO2_afiMPJxBBYAM78himr6hSmCDKO5J6mNxh6xLiAd6_BlLOLohaKrjQHUuwQerRxoqNI7h4KJ11KdMT24q9JQraktI8YK7c0w1NsWS00iTp1NJFaL1QYjUhDg9kpnX4-QW1zsnu7fNbv2x3H699-vX7TIoKEvtjVQtt9YDV-AHJy22IGtlJpELo1rJeGvQGuw61QCi0RI6awfLjWWumZPnS2xwzu1PORx1_t1fx2r-AOISXc4</recordid><startdate>200908</startdate><enddate>200908</enddate><creator>Xiujuan Liu</creator><creator>Chunguang Wang</creator><creator>Yunhong Su</creator><creator>Tieyu Hu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200908</creationdate><title>Integrating multimedia and artifical intelligence for pest prediction and aeration control of stored grain bins</title><author>Xiujuan Liu ; Chunguang Wang ; Yunhong Su ; Tieyu Hu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-afb6972ccf0290fde6c570635516524b976127b5cb58893055ba608ccdc2bc1e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>aeration control</topic><topic>Control systems</topic><topic>Fuzzy neural networks</topic><topic>Grain storage</topic><topic>Intelligent sensors</topic><topic>Intelligent systems</topic><topic>Knowledge acquisition</topic><topic>Man machine systems</topic><topic>Multimedia systems</topic><topic>pest prediction</topic><topic>Predictive models</topic><topic>recurrent neuro-fuzzy network</topic><topic>Temperature distribution</topic><topic>Temperature sensors</topic><topic>wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiujuan Liu</creatorcontrib><creatorcontrib>Chunguang Wang</creatorcontrib><creatorcontrib>Yunhong Su</creatorcontrib><creatorcontrib>Tieyu Hu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiujuan Liu</au><au>Chunguang Wang</au><au>Yunhong Su</au><au>Tieyu Hu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Integrating multimedia and artifical intelligence for pest prediction and aeration control of stored grain bins</atitle><btitle>2009 9th International Conference on Electronic Measurement & Instruments</btitle><stitle>ICEMI</stitle><date>2009-08</date><risdate>2009</risdate><spage>3-880</spage><epage>3-883</epage><pages>3-880-3-883</pages><isbn>1424438632</isbn><isbn>9781424438631</isbn><eisbn>1424438640</eisbn><eisbn>9781424438648</eisbn><abstract>In the present study, an intelligent system with human-machine interface of knowledge acquisition is established to implement the pest prediction and the aeration control of stored grain bins. In the system, recurrent neuro-fuzzy network models are proposed to predict temperature evolvement in the grain bins. 3D multimedia displays of node sensor-measured temperatures, and its gradient distributions of the given grain layer and their variations in the interval of the given time are used to extract the system knowledge in the current and future. The results of the experiment in the two grain depots in northeastern China have verified the effectiveness of the system.</abstract><pub>IEEE</pub><doi>10.1109/ICEMI.2009.5274158</doi></addata></record> |
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| ispartof | 2009 9th International Conference on Electronic Measurement & Instruments, 2009, p.3-880-3-883 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | aeration control Control systems Fuzzy neural networks Grain storage Intelligent sensors Intelligent systems Knowledge acquisition Man machine systems Multimedia systems pest prediction Predictive models recurrent neuro-fuzzy network Temperature distribution Temperature sensors wireless communication |
| title | Integrating multimedia and artifical intelligence for pest prediction and aeration control of stored grain bins |
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