• Journal of information and communication convergence engineering
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• 제13권3호
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• pp.189-196
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• 2015

In this paper, we present a rotating auto-zeroing offset cancellation technique, which can improve the performance of touch screen sensing circuits. Our target touch screen detection method employs multiple continuous sine waves to achieve a high speed for large touch screens. While conventional auto-zeroing schemes cannot handle such continuous signals properly, the proposed scheme does not suffer from switching noise and provides effective offset cancellation for continuous signals. Experimental results show that the proposed technique improves the signal-to-noise ratio by 14 dB compared to a conventional offset cancellation scheme. For the realistic simulation results, we used Cadence SPECTRE with an accurate TSP model and noise source. We also applied an asymmetric device size (10% MOS size mismatch) to the OP Amp design in order to measure the effectiveness of offset cancellation. We implemented the proposed circuit as part of a touch screen controller system-on-chip by using a Magnachip/SK Hynix 0.18-µm complementary metal-oxide semiconductor (CMOS) process.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.848-851
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• 2012

본 논문에서는 듀얼 커패시터를 이용하여 Opamp에서 발생하는 옵셋 전압을 효과적으로 저감 시키는 회로를 소개한다. 제안하는 회로는 기존 Auto-zeroing 방식의 옵셋 전압 저감회로에서 가지는 단점을 보완하기 위해 커패시터와 mos스위치를 추가하였고, Chopping 방식을 응용하여 고주파수에서 효과적으로 옵셋 전압이 저감되도록 설계하였다. 실험은 TSMC 1.8V, $0.18{\mu}m$ 공정을 이용하여 시뮬레이션 및 레이아웃 설계를 하였고, 실험 조건하에 1Ghz의 주파수에서 5mV 이하의 옵셋 전압이 발생되었다. 이를 통해 기존의 Auto-zeroing 옵셋 저감 방식과 비교하여 옵셋 전압이 효과적으로 저감된 것을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.1067-1070
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• 1999

Anesthesia gas to pour to patients affects the flow and volume as the pressure difference of an oxygen and an anesthesia gas. An anesthesia gas, being injurious and polluting an environment, must control the pressure of an oxygen gas because of being used by closing up tight. But a pressure sensor to use for measuring an oxygen gas appears other pressure as the characteristic and the error difference of elements to use for implementing an system. A medical machine such as an anesthesia ventilator must be accurate because of using for the person's body. So we intend to implement an system for a sensor pressure measurement not to be change regardless of an environment. This papers is the target that a sensor pressrue measurement to be changed in environment is equal to actual sensor pressure measurement. So an implemented system is using analog filter and digital filter to reduce a noise. And we are using auto-zeroing and calibration to correct a sensor pressure which is changed in environment. Through such a process we increase the accuracy and the confidence of an anesthesia ventilator by controlling the flow of an anesthesia gas.