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  • 标题:Granular Mobility-Factor Analysis Framework for enriching Occupancy Sensing with Doppler Radar
  • 其他标题:Granular Mobility-Factor Analysis Framework for enriching Occupancy Sensing with Doppler Radar
  • 本地全文:下载
  • 作者:Preethi K. Mane ; K. Narasimha Rao
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2018
  • 卷号:8
  • 期号:2
  • 页码:979-988
  • DOI:10.11591/ijece.v8i2.pp979-988
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:With the growing need of adoption of smarter resource control system in existing infrastructure, the proliferation of occupancy sensing is slowly increasing its pace. After reviewing an existing system, we find that utilization of Doppler radar is less progressive in enhancing accuracy of occupancy sensing operation. Therefore, we introduce a novel analytical model that is meant for incorporating granularity in tracing the psyhiological periodic charecteristic of an object by emphasizing on the mobility and uncertainty movement of an object in the monitoring area. Hence, the model is more emphasized on identifying the rate of change in any periodic physiological charecteritic of an object with an aid of mathematical modelling. At the same time, the model extracts certain traits of frequency shift and directionality for better tracking of the unidentified object behaviour where its applicabilibility can be generalized in majority of the fields related to object detection.
  • 其他摘要:With the growing need of adoption of smarter resource control system in existing infrastructure, the proliferation of occupancy sensing is slowly increasing its pace. After reviewing an existing system, we find that utilization of Doppler radar is less progressive in enhancing accuracy of occupancy sensing operation. Therefore, we introduce a novel analytical model that is meant for incorporating granularity in tracing the psyhiological periodic charecteristic of an object by emphasizing on the mobility and uncertainty movement of an object in the monitoring area. Hence, the model is more emphasized on identifying the rate of change in any periodic physiological charecteritic of an object with an aid of mathematical modelling. At the same time, the model extracts certain traits of frequency shift and directionality for better tracking of the unidentified object behaviour where its applicabilibility can be generalized in majority of the fields related to object detection.
  • 关键词:Doppler Radar; Occupation Sensing; Accuracy; Mobility; Random; Uncertainty
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