A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking
The existing electronic tagging system traces the location of a sex offender using triangulation by communicating with Global Positioning System (GPS) satellites and mobile phone base stations. The acquired location information is used to prevent the offenders from perpetrating repeat crimes. Howeve...
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| Format: | Article |
| Language: | English |
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Wiley
2013-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/392083 |
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| _version_ | 1832556773955862528 |
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| author | Gil-Yong Lee Nam-Yeol Yun Sung-Chul Lee Soo-Hyun Park |
| author_facet | Gil-Yong Lee Nam-Yeol Yun Sung-Chul Lee Soo-Hyun Park |
| author_sort | Gil-Yong Lee |
| collection | DOAJ |
| description | The existing electronic tagging system traces the location of a sex offender using triangulation by communicating with Global Positioning System (GPS) satellites and mobile phone base stations. The acquired location information is used to prevent the offenders from perpetrating repeat crimes. However, the battery resources of such a system are inadequate as it has to trace the location of the moving target in real time and consumes a large amount of battery power while communicating with GPS satellites and mobile phone base stations. In addition, the systems cannot infer the mental state of the targets or detect their alcohol consumption levels, which may be necessary for the prevention of a repeat crime. The purpose of this study is to connect the Ubiquitous System Network (USN), which consumes little electricity, and Android mobile platforms, which are commonly used for machine-to-machine communication. Thus, this system will legally facilitate the protection of minors by providing information only about the target's approach to certain facilities. In addition, the system uses an Android platform to process data measured by the USN's sensors, which can also detect alcohol intake and infer the mental state of the target, and then initiates the corresponding real-time context-awareness services. |
| format | Article |
| id | doaj-art-c328fe6ea0db40a98729e29676eb3343 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-c328fe6ea0db40a98729e29676eb33432025-02-03T05:44:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-10-01910.1155/2013/392083A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine InterworkingGil-Yong Lee0Nam-Yeol Yun1Sung-Chul Lee2Soo-Hyun Park3 Ubiquitous System Lab., Graduate School of BIT, Kookmin University, Jeongneung-Ro 77, Seoungbuk-Gu, Seoul 136-702, Republic of Korea Ubiquitous System Lab., Graduate School of BIT, Kookmin University, Jeongneung-Ro 77, Seoungbuk-Gu, Seoul 136-702, Republic of Korea Convergent SoC Research Center, Korea Electronics Technology Institute, Seongnam 463-816, Republic of Korea Ubiquitous System Lab., Graduate School of BIT, Kookmin University, Jeongneung-Ro 77, Seoungbuk-Gu, Seoul 136-702, Republic of KoreaThe existing electronic tagging system traces the location of a sex offender using triangulation by communicating with Global Positioning System (GPS) satellites and mobile phone base stations. The acquired location information is used to prevent the offenders from perpetrating repeat crimes. However, the battery resources of such a system are inadequate as it has to trace the location of the moving target in real time and consumes a large amount of battery power while communicating with GPS satellites and mobile phone base stations. In addition, the systems cannot infer the mental state of the targets or detect their alcohol consumption levels, which may be necessary for the prevention of a repeat crime. The purpose of this study is to connect the Ubiquitous System Network (USN), which consumes little electricity, and Android mobile platforms, which are commonly used for machine-to-machine communication. Thus, this system will legally facilitate the protection of minors by providing information only about the target's approach to certain facilities. In addition, the system uses an Android platform to process data measured by the USN's sensors, which can also detect alcohol intake and infer the mental state of the target, and then initiates the corresponding real-time context-awareness services.https://doi.org/10.1155/2013/392083 |
| spellingShingle | Gil-Yong Lee Nam-Yeol Yun Sung-Chul Lee Soo-Hyun Park A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking International Journal of Distributed Sensor Networks |
| title | A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking |
| title_full | A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking |
| title_fullStr | A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking |
| title_full_unstemmed | A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking |
| title_short | A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking |
| title_sort | smart electronic tagging system based on context awareness and machine to machine interworking |
| url | https://doi.org/10.1155/2013/392083 |
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