Toward a NFC Phone-Driven Context Awareness Smart Environment

Chang, Yue-Shan; Hung, Yung-Shuan; Chang, Ching-Lung; Juang, Tong‐Ying

doi:10.1109/uic-atc.2009.37

Cited by 11 publications

(3 citation statements)

References 9 publications

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“… Verhoeff et al ., (2009) [ 80 ] Psychomotor Feedback Accelerometers It gives feedback according to the user's gait. Gyroscopes Chang et al ., (2009) [ 110 ] - - Humistor It is a house that adapts certain aspects automatically according to the user's preferences Light sensors NFC RFID Thermometers Hsu (2010) [ 111 ] - - RFID It is a house that adapts the music being played automatically according to the user's preferences. Krause et al ., (2006) [ 112 ] - - Accelerometer It is a mobile phone that changes its behavior according to the user state and surroundings.…”

Section: Identified Sensors Together With Their Measured Property Andmentioning

confidence: 99%

Augmenting the Senses: A Review on Sensor-Based Learning Support

Schneider

Börner

Rosmalen

et al. 2015

Sensors

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In recent years sensor components have been extending classical computer-based support systems in a variety of applications domains (sports, health, etc.). In this article we review the use of sensors for the application domain of learning. For that we analyzed 82 sensor-based prototypes exploring their learning support. To study this learning support we classified the prototypes according to the Bloom's taxonomy of learning domains and explored how they can be used to assist on the implementation of formative assessment, paying special attention to their use as feedback tools. The analysis leads to current research foci and gaps in the development of sensor-based learning support systems and concludes with a research agenda based on the findings.

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Section: Identified Sensors Together With Their Measured Property Andmentioning

confidence: 99%

Augmenting the Senses: A Review on Sensor-Based Learning Support

Schneider

Börner

Rosmalen

et al. 2015

Sensors

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“…In this approach, there is no information on how situational context models of the users' environments are generated. In [8], an approach was presented to developing smart environments, where the users need to setup and store their personal preferences on an NFC (Near Field Communication) enabled smart phone. Based on the preferences, the NFC enabled smart phone will control the other u-things to achieve the goals of the users' applications.…”

Section: Current State Of the Artmentioning

confidence: 99%

Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems

Yau

Buduru

2014

2014 IEEE International Conference on Mobile Services

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IoT (Internet of Things) is increasingly becoming more popular mainly due to the fact that almost all the smart devices nowadays are network enabled to facilitate many current and emerging applications. However, some important issues still need to be addressed before fully realizing the potential of IoT applications. One of the most important issues is to have effective approaches to planning various device actions to satisfy user requirements efficiently and securely in mobile IoT applications. A mobile IoT application can be composed of mobile cloud systems and devices, such as wearable devices, smart phones and smart cars. In this type of systems, mobile networks with elastic resources from various mobile clouds are effective to support IoT applications. In this paper an effective approach to intelligent planning for mobile IoT applications is presented. This approach includes a learning technique for dynamically assessing the users' mobile IoT application and a MDP (Markov Decision Process) planning technique for enhancing efficiency of IoT device action planning. Simulation results are presented to show the effectiveness of our approach.

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“…It is possible to see innovative examples of smart environment in the NFC literature, which makes use of NFC tags to simplify utilization of existing functions of a system [19], to control a system and perform services remotely [17], [18], [20]- [24] and also to provide information channel [25]- [31]. N-CASH is another example for NFC enabled smart environment [32], [33] that clearly describes the creation of a smart space, which can be activated by NFC mobile to control devices such as home appliances. The appliances are controlled and driven by the request from NFC mobile that uses predefined ontology and rule based reasoning.…”

Section: B Smart Environment Applicationsmentioning

confidence: 99%

Classification of NFC Applications in Diverse Service Domains

Özdenizci¹,

Alsadi²,

Ok³

et al. 2013

IJCCE

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Abstract-NFC (Near Field Communication) technology allows people to integrate their daily-use loyalty cards, credit cards etc. into their mobile phones. In addition to integrating those cards into mobile devices, NFC technology brings innovation opportunities to mobile communications. It enables two users to easily communicate and exchange data simply by touching two mobile phones to each other. The aim of this paper is to perform a brief review of the published NFC applications in literature and explored the benefits of these applications by classifying them in eight service domains. We believe that this analysis will provide valuable insights for performing rigorous and business relevant research on NFC applications and its service domains.

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Toward a NFC Phone-Driven Context Awareness Smart Environment

Cited by 11 publications

References 9 publications

Augmenting the Senses: A Review on Sensor-Based Learning Support

Augmenting the Senses: A Review on Sensor-Based Learning Support

Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems

Classification of NFC Applications in Diverse Service Domains

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