Browsing by Author "Chen, Chi-Chun"
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Item type:Item, Anomalous Gate-Edge Leakage Induced by High Tensile Stress in NMOSFET(2008-11-01) ;Liu, Po-Tsun ;Huang, Chen-Shuo ;Lim, Peng-Soon ;Lee, Da-YuanTsao, Shueh-WenAnomalously high gate tunneling current, induced by high-tensile-stress memorization technique, is reported in this letter. Carrier-separation measurement method shows that the increased gate tunneling current is originated from the higher gate-to-source/drain (S/D) tunneling current, which worsens when channel length is getting shorter. Also, the device with enhanced tensile strain exhibits 9% higher gate-to-S/D overlapping capacitance. These data indicate that the anomalously high gate tunneling current could be attributed to the high tensile strain that induces the effects of excessive lightly doped dopant diffusion and higher gate-edge damage. The proposed inference is confirmed by channel hot-electron stress.Item type:Item, Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory(2014-11-01) ;Chang, Wen-Ying ;Huang, Chien-Chun ;Chen, Chi-Chun ;Chang, Chih-ChengYang, Chin-LungIn this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG) and other alternative contemporary systems, the proposed FPCSM uses projected capacitive sensing capability that is not worn or attached to the body. The FPCSM is composed of a multi-electrode sensor array that can not only observe gestures and motion behaviors, but also enables the FPCSM to function as a respiration monitor during sleep using the proposed approach. To improve long-term monitoring when body movement is possible, the FPCSM enables the selection of data from the sensing array, and the FPCSM methodology selects the electrodes with the optimal signals after the application of a channel reduction algorithm that counts the reversals in the capacitive sensing signals as a quality indicator. The simple algorithm is implemented in the time domain. The FPCSM system is used in experimental tests and is simultaneously compared with a commercial PSG system for verification. Multiple synchronous measurements are performed from different locations of body contact, and parallel data sets are collected. The experimental comparison yields a correlation coefficient of 0.88 between FPCSM and PSG, demonstrating the feasibility of the system design.