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In order to study the Kinect and Unity3D combined with the deeper application, based on the use of Kinect to identify the body and made a new attempt for the binding of Unity3D. Using Kinect to get the dynamic behavior in the scene of the human body, to achieve control of the Unity object in the scene. Build the virtual scene in Unity3D platform. The test shows that the use of Kinect for human behavior recognition and fast response, high accuracy. Otherwise, the use of Unity3D as a platform of virtual scene is fast and convenient, the combination is very suitable for the target system in various industries.

Learning is the major human activity which can make people to accommodate the environment or the society better. The effectiveness of learning is one important research issue in orange technology. The learning effectiveness of nurse education is more important than the other types of educations. In this paper, we proposed a work which develops a simulation-based digital courseware for intramuscular injection training in nurse education, to improve the learning effectiveness of practical nursing care training. The design of courseware is guided by the constructivism. In addition, the scenario simulation and game are involved to enhance the learning motivation. Moreover, the course has been successfully applied on the nursing students in Taiwan.

A key issue in physical-layer network coding (PLNC) is how to recover the network-coded packet by the relay from the superimposed signals transmitted simultaneously by multiple transmitters. In order to decode correctly, the asynchrony between signals must be perfectly dealt with. That is, symbols transmitted by different transmitters could arrive at the receiver with relative carrier frequency offset (CFO), relative carrier phase offset and different channel fading. In this paper, we propose an algorithm to estimate the relative carrier offset from the PLNC signals, and investigate two decoding schemes, JCNC and M-JCNC, to construct the XORed packet. As shown in the simulation results, the algorithm can efficiently estimate the relative carrier offsets and significantly reduce the SNR penalty due to asynchrony.