Arduino, physical computing platform, provides learner heuristic environment to achieve core values of SW/HW knowledge. This research design teaching and learning model for programming education with Arduino platform. This model supports multi component of various techniques, which are based on core knowledge from design, computer science and electronic engineering. In this environment, learners try to make prototype with low fidelity design method such as brainstorming and sketching. After then students will approach more sophisticated method with programming techniques, which include shaping, and forming knowledge from those of who attend Arduino project. To do this we designed teaching and learning model for Arduino-based programming education and then applied it to education field for 5 weeks with 26 students at Incheon education district. We develop the 'bling-bling art design' curriculum which is composed 10 chapters with LED artworks. We found that our approaches could more provide strength such as problem solving ability, creation techniques, flow of learning compare than traditional programming education approaches.

We propose a middleware platform built on wireless USB (WUSB) over wireless body area networks (WBAN) hierarchical protocol for wearable health-monitoring systems (WHMS). The proposed middleware platform is composed of time-synchronization and localization solutions. It is executed on the basis of WUSB over WBAN protocol at each wearable sensor node comprising the WHMS. In the platform, firstly, the time-synchronization middleware is executed. After that, a WHMS host calculates the location of a receiving sensor node by using the difference between the times at which the sensor node received different WBAN beacon frames sent from the WHMS host. The WHMS host interprets the status and motion of the wearable body-sensor objects.

In this paper, we propose a multimedia streaming scheme by using the proposed N-screen resource allocation and N-screen DRP Availability Information Element, for n-screen service in Wearable health-monitoring systems (WHMS) networks. The proposed scheme can improve throughput performance of WHMS Vital Video (WVV) applications. Also, proposed scheme can reduce WVV delay since it minimizes the multicast WVV data delivery process. Compared with the legacy WHMS system, the proposed streaming scheme is very simple and efficient as it does not require additional hardware. These merits make the proposed WHMS system extremely inexpensive to implement in hospital WHMS network and bio cloud-computing applications.

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