• Title/Summary/Keyword: 전도노이즈

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Silicon Substrate Coupling Modeling and Analysis including RF Package Inductance (RF 패키지 인덕턴스가 실리콘 기판 커플링에 미치는 영향 모델링 및 해석)

  • Jin, U-Jin;Eo, Yeong-Seon;Sim, Jong-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.39 no.1
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    • pp.49-57
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    • 2002
  • Including RF Package inductance, substrate coupling through conductive silicon(Si)-substrate is modeled and quantitatively characterized. 2-port substrate coupling model is extended for the characterization of multi-port substrate coupling between digital circuit block and analog/RF circuit block. Furthermore, scalable parameter extraction model is developed. Multi-port substrate coupling can be investigated by linearly superposing a frequency-dependent 2-port substrate coupling model using scalable parameters. In addition, Substrate coupling including RF package inductance effect is quantitatively investigated. It is shown that package effect increases substrate coupling and shifts a characteristic frequencies(i.e., poles) to the higher frequency range. The proposed methodology can be efficiently used to the mixed-signal circuit performance verification.

Development of Self-trainer Fitness Wear Based on Silicone-MWCNT Sensor (실리콘-탄소나노튜브 센서 기반의 셀프트레이너 피트니스 웨어 개발)

  • Cho, Seong-Hun;Kim, Kyung-Mi;Cho, Ha-Kyung;Won, You-Seuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.7
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    • pp.493-503
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    • 2018
  • Recently, as living standards have improved, many people are becoming more interested in health, and self-training is increasing through exercise to prevent and manage pre-illness. In general, an imbalance of muscles causes asymmetry of posture, which can cause various diseases by accompanying an adjustment force, circulation action, displacement of internal organs, etc.. In this study, the development of fitness software that can be self - training among smart wears has attracted considerable attention in recent years. In this study, a technology was proposed for the commercialization of self - trainer fitness wear by a simulation through Android - based applications. Self - trainer fitness software was developed by combining a conductive polymer, fashion design, sewing, and electric and electronic technology to monitor the unbalance of the muscles during exercise and make smart wear that can calibrate the asymmetry by oneself. In particular, a polymer sensor was fabricated by deriving the optimal MWCNT concentration, and the electrode signal was collected by attaching the electrode to the optimal position, where the electrode signal line using the conductive fiber was designed and attached to collect the signal. A signal module that converts the bio-signals collected through electrical signal conversion and transmits them using Bluetooth communication was designed and manufactured. Self-trainer fitness software that can be commercialized was developed by combining noise cancellation with Android-based self-training application using a software algorithm method.

Development of Surface Myoelectric Sensor for Myoelectric Hand Prosthesis (근전의수용 소형 표면 근전위 센서의 개발)

  • Choi, Gi-Won;Sung, So-Young;Moon, Inhyuk
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.6
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    • pp.67-76
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    • 2005
  • This paper proposes a compact-sized surface myoelectric sensor for the myoelectric hand prosthesis. To fit the surface myoelectric sensor in the socket for the myoelectric hand prosthesis, the sensor should be a compact size. The surface myoelectric sensor is. composed of a skin interface and a single processing circuit that are mounted on a single package. The skin interface has one reference and two input electrodes, and the reference electrode is located in the center of two input electrodes. In this paper we propose two types of sensors with the circle- and bar-shaped reference electrode, but all input electrodes are the bar-shaped. The metal material of the electrodes is the stainless steel (SUS440) that endures sweat and wet conditions. Considering the conduction velocity and the median frequency of the myoelectric signal, we select the inter-electrode distance (IED) between two input electrodes as 18mm, 20mm, and 22 mm. The signal processing circuit consists of a differential amplifier with a band pass filter, a band rejection filter for rejecting 60Hz power-line noise, amplifiers, and a mean absolute value circuit. We evaluate the proposed sensor from the output characteristics according to the IED and the shape of the reference electrode. From the experimental results we show the surface myoelectric sensor with the 18mm IED and the bar-shaped reference electrode is suitable for the myoelectric hand prosthesis.

Total Simulation for the Noise Prediction of Motor Driving System in EV/HEV System (EV/HEV용 모터 구동 시스템의 Noise 예측을 위한 통합 시뮬레이션에 대한 연구)

  • Gwon, O-Hyun;Lee, Jae Joong;Kim, Kwang-Ho;Ahn, Ji-Hyun;Kweon, Hyuck-Su;Kim, Mi-Ro;Jung, Sang-Yong;Nah, Wansoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.7
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    • pp.710-721
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    • 2013
  • The noise prediction of motor driving system is one of the most important parts in EV/HEV, as the number of power electronic devices increases. This paper describes the mechanism of noise making process and proposes a simulation model of motor driving system for the prediction of the conducted noise. Theoretical calculations and model based simulations were carried out. DOD-dependent-battery parameters were extracted by AC analysis, and an inverter model including dynamic diode was used. Furthermore, 2-D EM tool was used for the motor modeling and was combined with the circuit models of battery and inverter. The simulated voltages, currents and spectrums in the motor driving system showed qualitatively meaningful results, suggesting the validness of the suggested modeling methods.

The Development of Stretch Sensors for Measuring the Wrist Movements for People Using Fishing Lures (루어낚시 참여자의 손목 움직임 측정을 위한 스트레치 센서 개발)

  • Choi, Yoon-Seung;Park, Jin-hee;Kim, Joo-yong
    • Science of Emotion and Sensibility
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    • v.25 no.3
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    • pp.77-90
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    • 2022
  • This study seeks to develop a stretch sensor for measuring the wrist movements of people using fishing lures. In order to confirm wrist movement, a stretch sensor was attached to the wrist band, and measurements of the dorsiflexion, plantar flexion, and fishing landing motion were measured using a scale to gauge factor, tensile strength, and elongation recovery rate. A conductive sensor using CNT dispersion was developed and applied to the E-band under the same conditions. A total of 15 sensors of the same size and five types of impregnation once, twice, and three times each were used to measure the gauge factor using UTM. The sensor that was impregnated twice had the best gauge rate, and the prototypes were manufactured with three sensors with high gauge rates and tensile strength. The results of the operation test conducted by connecting to the Arduino showed that Sample 1, which had the highest tensile strength and gauge factor, had a stable graph wavelength in three operations. Samples 2 and 3 showed stable wavelengths in the dorsiflexion and the plantar flexion; however, signal noise appeared in the fishing landing motion. This showed stable wavelengths in the two motions, but the wavelengths of the graphs differ depending on the tensile strength and gauge factor in the fishing landing motion. As a result, it was possible to identify the conditions necessary for manufacturing a stretch sensor for measuring wrist movement. This study will contribute to the development of smart wearable products for lure fishing.