No abstract

The integration of people devices and services through the use of MachinetoMachine technology has been, and will continue to be for the foreseeable future, an important economic trend. Mobile video services have become more convenient with respect to mobility, but the quality of the video they produce is limited. In this study, an integrated video service framework "DMCTS" based on MachinetoMachine communications is proposed, in which a mobile video service can be integrated into a home video service. In the integrated framework, people can easily watch a lowquality video from a mobile service and transfer the video playing context to another video service to continue the twin highquality video with same content played in a smart home. This seamless and integrated framework results in vastly increased people convenience.

T-Learning was passive, for a long time, because of the restrictions imposed on TVs. The relevant restrictions are a result of the input function, i.e. the normal TV remote control. Researchers have proposed various solutions for improving the normal TV remote control. However, these are difficult to be in practice now. Nowadays, it has been established that dual-device services may be helpful for T-Learning. These studies usually lay more emphasis and stress on the cooperation of output function, while ignoring the input function of the cooperative device. Thus, this study is aimed at improving the normal TV remote control for advanced T-Learning. In the present study, an advanced T-Learning framework named as "DDRC T-Learning Framework" is proposed which is based on M2M cooperation to improve the input function in T-Learning., In the DDRC T-Learning Framework, the touch screen of a handheld device can be effectively used by the learner as an advanced TV remote controller for interactive T-Learning.