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1.
Malaysian Journal of Medicine and Health Sciences ; : 23-27, 2020.
Article in English | WPRIM | ID: wpr-875804

ABSTRACT

@#Introduction: For “smart health” Internet-of-Things (IoT) applications, substrate integrated waveguide (SIW) is a promising component to construct a wearable microwave device. For its efficacy in wearable devices, minimizing signal losses in terms of return and transition losses in SIW is of paramount importance. To enhance its performance, this paper presents the characterization of air-filled SIW transition losses for the SIW microwave device. Method: To investigate the effect of transition length on losses, the full-wave analysis of an air-filled SIW with different lengths of the taper transition was presented. For the analysis, the linear taper is designed for the Roger RT/Duroid 6002 substrate and utilized in the Ka-band frequencies. Result: From the full-wave analysis results, the length of the transition taper can be reduced considerably while achieving a wide-bandwidth characteristic of return loss better than 20 GHz. The results also show that the transmission loss can be reliably reduced while reducing the size of the SIW component. Conclusion: The findings may contribute to the development of the compact design of wearable microwave devices having a comparable performance with the conventional waveguide.

2.
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 1992-1996, 2015.
Article in Chinese | WPRIM | ID: wpr-483927

ABSTRACT

This article was aimed to propose and develop traditional Chinese medicine (TCM) health engineering, using modern science and technology, in order to carry out the detection research which reflected TCM features of human functional state. It was an important way to achieve TCM diagnosis and the objective evaluation on therapeutic effects of TCM. The combination of TCM health engineering with information technology, and the formation of TCM functional state intelligent identification system, as well as the extension into the Health Internet of Things (HIT) could provide more accurate and convenient services for human healthcare in the age of big health. And identification on TCM syndromes was the core to achieve this goal. Using characterization data on TCM syndromes could realize the data processing between TCM syndrome and prescription through intelligent computing, in order to form the TCM syndrome differentiation and treatment intelligent system. It had great significance in the promotion of TCM health project.

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