Sensors, Vol. 19, Pages 4518: Start from Scratch: A Crowdsourcing-Based Data Fusion Approach to Support Location-Aware Applications

Sensors, Vol. 19, Pages 4518: Start from Scratch: A Crowdsourcing-Based Data Fusion Approach to Support Location-Aware Applications Sensors doi: 10.3390/s19204518 Authors: Yonghang Jiang Bingyi Liu Ze Wang Xiaoquan Yi As one of the most important breakthroughs for modern transportation, the indoor location-based technology has been gradually penetrating into our daily lives and underlines the foundation of the Internet of Things (IoT). To improve the positioning accuracy and efficiency, crowdsourcing has been widely applied in indoor localization in recent years. However, the crowdsourced data can hardly be fused easily to enable usable applications for the reason that the data are collected by different users, in different locations, at different times, with different noises and distortions. Although different data fusing methods have been implemented in different crowdsourcing services, we find that they may not fully leverage the data collected from multiple dimensions that can potentially lead to a better fusion results. In order to address this problem, we propose a more general solution, which can fuse the multi-dimensional crowdsourced data together and align them with the consistent time and location stamps, by using the features of the sensory data only, and thus build high quality crowdsourcing services from the raw data samplings collected from the environment. Finally, we conduct extensive evaluations and experiments using different commercial device...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research

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Source: Medecine et Maladies Infectieuses - Category: Infectious Diseases Tags: Med Mal Infect Source Type: research
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Source: Medecine et Maladies Infectieuses - Category: Infectious Diseases Tags: Med Mal Infect Source Type: research
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Source: Medecine et Maladies Infectieuses - Category: Infectious Diseases Tags: Med Mal Infect Source Type: research
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Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology - Category: ENT & OMF Source Type: research
ConclusionThe method achieved high performance for automation of tooth segmentation on dental panoramic images. The proposed method might be applied in the first step of diagnosis automation and in forensic identification, which involves similar segmentation tasks.
Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology - Category: ENT & OMF Source Type: research
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Source: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology - Category: ENT & OMF Source Type: research
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Source: British Journal of Oral and Maxillofacial Surgery - Category: ENT & OMF Source Type: research
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