Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application
In an indoor safety-critical application, sensors and actuators are clustered together to accomplish critical actions within a limited time constraint. The cluster may be controlled by a dedicated programmed autonomous microcontroller device powered with electricity to perform in-network time critic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/172186 |
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| _version_ | 1832557080942215168 |
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| author | Nilamadhab Mishra Hsien-Tsung Chang Chung-Chih Lin |
| author_facet | Nilamadhab Mishra Hsien-Tsung Chang Chung-Chih Lin |
| author_sort | Nilamadhab Mishra |
| collection | DOAJ |
| description | In an indoor safety-critical application, sensors and actuators are clustered together to accomplish critical actions within a limited time constraint. The cluster may be controlled by a dedicated programmed autonomous microcontroller device powered with electricity to perform in-network time critical functions, such as data collection, data processing, and knowledge production. In a data-centric sensor network, approximately 3–60% of the sensor data are faulty, and the data collected from the sensor environment are highly unstructured and ambiguous. Therefore, for safety-critical sensor applications, actuators must function intelligently within a hard time frame and have proper knowledge to perform their logical actions. This paper proposes a knowledge discovery strategy and an exploration algorithm for indoor safety-critical industrial applications. The application evidence and discussion validate that the proposed strategy and algorithm can be implemented for knowledge discovery within the operational framework. |
| format | Article |
| id | doaj-art-28ddc70a4ee24b3094fead6e3d2b3055 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-28ddc70a4ee24b3094fead6e3d2b30552025-02-03T05:43:32ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/172186172186Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor ApplicationNilamadhab Mishra0Hsien-Tsung Chang1Chung-Chih Lin2Department of Computer Science and Information Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 333, TaiwanDepartment of Computer Science and Information Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 333, TaiwanDepartment of Computer Science and Information Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 333, TaiwanIn an indoor safety-critical application, sensors and actuators are clustered together to accomplish critical actions within a limited time constraint. The cluster may be controlled by a dedicated programmed autonomous microcontroller device powered with electricity to perform in-network time critical functions, such as data collection, data processing, and knowledge production. In a data-centric sensor network, approximately 3–60% of the sensor data are faulty, and the data collected from the sensor environment are highly unstructured and ambiguous. Therefore, for safety-critical sensor applications, actuators must function intelligently within a hard time frame and have proper knowledge to perform their logical actions. This paper proposes a knowledge discovery strategy and an exploration algorithm for indoor safety-critical industrial applications. The application evidence and discussion validate that the proposed strategy and algorithm can be implemented for knowledge discovery within the operational framework.http://dx.doi.org/10.1155/2014/172186 |
| spellingShingle | Nilamadhab Mishra Hsien-Tsung Chang Chung-Chih Lin Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application International Journal of Antennas and Propagation |
| title | Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application |
| title_full | Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application |
| title_fullStr | Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application |
| title_full_unstemmed | Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application |
| title_short | Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application |
| title_sort | data centric knowledge discovery strategy for a safety critical sensor application |
| url | http://dx.doi.org/10.1155/2014/172186 |
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