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With the ubiquitous nature of mobile sensing technologies, privacy issues are becoming increasingly important, and need to be carefully addressed.
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Rather than throwing existing systems to the wayside, by layering on today's mobile, sensing and data technologies to existing infrastructure, we can keep our infrastructure current.
The rapid progress of mobile, wireless communication and sensing technologies has enabled the development of context-aware ubiquitous learning (u-learning) environments, which are able to detect the real-world learning status of students as well as the environmental contexts.
Context-aware ubiquitous learning is such an approach that enables students to learn from the real world with support from the learning system using mobile, wireless communication and sensing technologies (Hwang et al. [2008]; Tsai et al. [2012]).
In fact, recent advances in mobile communications, location and sensing technologies and data processing are boosting the deployment of context-aware personalized services and the creation of smart environments; but at the same time, they pose a serious risk on individuals' privacy rights.
The mobile-sensing technologies that are at the heart of Sense360's technology track location and survey data from customers to sell to fast food stores customer feedback (both voluntary and involuntary) on what's working and what's not working at locations around the country.
Based on measurement results, analyses of the connectivity capabilities of the IEEE 802.15.4/ZigBee technologies for mobile sensing applications in industrial environment, and their use in collision avoidance applications are reported in[16].
The integration of remote sensing technologies, GIS and mobile mapping platforms is producing new insights into the archaeology of historic water management systems.
While details are under wraps the company does have over 10 pilots with digital health startups working on sensing technologies, patient engagement, mobile technologies, and the omnipresent buzzword of the 20-teens, data intelligence.
Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.
In the past decade, the popularity of mobile devices (e.g., smart phones and tablet computers), wireless communication networks and sensing technologies (e.g., RFID, GPS and QR codes) have fulfilled the basic requirements of developing smart learning environments.
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