• Asian Pacific Journal of Cancer Prevention
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• 제14권6호
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• pp.3865-3869
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• 2013

Background: Cigarette per day (CPD) use is a key smoking behaviour indicator. It reflects smoking intensity which is directly proportional to the occurrence of tobacco induced cancers. Self reported CPD assessment in surveys may suffer from digit bias and under reporting. Estimates from such surveys could influence the policy decision for tobacco control efforts. In this context, this study aimed at identifying underlying factors of digit bias and its implications for Global Adult Tobacco Surveillance. Materials or Methods: Daily manufactured cigarette users CPD frequencies from Global Adult Tobacco Survey (GATS) - India data were analyzed. Adapted Whipple Index was estimated to assess digit bias and data quality of reported CPD frequency. Digit bias was quantified by considering reporting of '0' or '5' as the terminal digits in the CPD frequency. The factors influencing it were identified by bivariate and logistic regression analysis. Results: The mean and mode of CPD frequency was 6.7 and 10 respectively. Around 14.5%, 15.1% and 15.2% of daily smokers had reported their CPD frequency as 2, 5 and 10 respectively. Modified Whipple index was estimated to be 226.3 indicating poor data quality. Digit bias was observed in 38% of the daily smokers. Heavy smoking, urban residence, North, South, North- East region of India, less than primary, secondary or higher educated and fourth asset index quintile group were significantly associated with digit bias. Discussion: The present study highlighted poor quality of CPD frequency data in the GATS-India survey and need for its improvement. Modeling of digit preference and smoothing of the CPD frequency data is required to improve quality of data. Marketing of 10 cigarette sticks per pack may influence CPD frequency reporting, but this needs further examination. Exploring alternative methods to reduce digit bias in cross sectional surveys should be given priority.

• 한국ITS학회 논문지
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• 제4권1호
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• pp.63-71
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• 2005

본 논문에서는 고속전송을 위해 넓은 대역폭을 사용하는 OFDM (Orthogonal Frequency Division Multiflex)시스템에서 심각한 주파수 선택적 페이딩 환경에서도 강한 특성을 갖는 FE(Frequency Estimation) 채널 추정 기법을 제안하였다. 시간적으로 천천히 변화하는 채널에서 주로 사용하는 채널추정기법은 상관도가 높은 심볼간 데이터를 이용하는 DDCE(Decision Directed Channel Estimation)기법이 있다. DDCE는 주파수 비선택적인 환경에서는 높은 이득을 보이지만 시스템 대역폭이 증가함에 따라 심각한 주파수 선택적 페이딩 환경이 되어 데이터의 신뢰도가 떨어지면 에러 플로우 현상이 일어나게 된다. 제안한 방법인 FE 기법은 주파수 선택적 페이딩 채널에서 OFDM의 부반송파간의 상관관계를 이용하여 목표 주파수에서의 채널 추정감을 인접 부반송파의 채널 추정값들의 평균으로 적응시켜주어 이득을 얻는다. FE 기법은 DDCE처럼 데이터를 이용하지 않고 프리엠블만을 이용하기 때문에 데이터의 신뢰도와 관계된 전송율과 다중 경로 수에 독립적이다 본 논문에서 제안한 FE 기법은 DDCE의 에러 플로우가 발생한 넓은 대역폭을 가진 시스템에서도 이득을 얻을 수 있어 심각한 주파수 선택적 페이딩 환경에서 유용하다.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.661-673
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• 2010

This paper presents recent developments in an extremely compact, wireless impedance sensor node (the WID3, $\underline{W}$ireless $\underline{I}$mpedance $\underline{D}$evice) for use in high-frequency impedance-based structural health monitoring (SHM), sensor diagnostics and validation, and low-frequency (< ~1 kHz) vibration data acquisition. The WID3 is equipped with an impedance chip that can resolve measurements up to 100 kHz, a frequency range ideal for many SHM applications. An integrated set of multiplexers allows the end user to monitor seven piezoelectric sensors from a single sensor node. The WID3 combines on-board processing using a microcontroller, data storage using flash memory, wireless communications capabilities, and a series of internal and external triggering options into a single package to realize a truly comprehensive, self-contained wireless active-sensor node for SHM applications. Furthermore, we recently extended the capability of this device by implementing low-frequency analog-to-digital and digital-to-analog converters so that the same device can measure structural vibration data. The compact sensor node collects relatively low-frequency acceleration measurements to estimate natural frequencies and operational deflection shapes, as well as relatively high-frequency impedance measurements to detect structural damage. Experimental results with application to SHM, sensor diagnostics and low-frequency vibration data acquisition are presented.

• 지구물리와물리탐사
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• 제3권1호
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• pp.19-24
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• 2000

28 Hz와 100 Hz 지오폰을 사용하여 탄광 채굴공동에 의한 지반침하 지역에서 탄성파자료를 획득하고 지오폰에 따른 탄성파 자료의 주파수 특성을 고찰하였다. 파동의 전파거리가 짧아 고주파수 성분의 감쇠가 적은 근거리 오프셋($1\~10m$) 에서는 100 Hz 지오폰 자료가 28 Hz 지오폰 자료에 비하여 상당히 높은 주파수 성분(최대 300 Hz)을 보유하며 중거리 오프셋($11\~39m$)에서는 28Hz 지오폰 자료의 신호대역 주파수 특성은 근거리 오프셋 자료와 전체적으로 유사하고 100 Hz 지오폰의 경우는 신호로 간주할 수 있는 최대 주파수는 높은 반면 상대적으로 높은 수준의 고주파 잡음이 존재하며, 원거리 오프셋($\geq40\;m$)에서는 150 Hz 이상의 영역에서 신호가 대부분 잡음수준까지 감쇠된 결과를 보여주었다.

• 지구물리와물리탐사
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• 제19권2호
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• pp.84-90
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• 2016

신규 센서의 성능과 노후화된 센서의 성능 평가를 하는 것은 지진 감시 및 지진연구에 있어서 매우 중요하다고 할 수 있다. 특히 센서 주파수 응답은 지진자료의 보정을 위해서 필수적으로 사용되고 있다. 이 연구에서는 주파수 스펙트럼비를 이용한 지진 기록계의 보정 방법과 시간영역 대역통과필터(bandpass filter)와 힐버트(Hilbert) 변환을 이용한 지진계 주파수 응답을 계산하는 방법을 제시하고자 하였다. 실내 진동대 실험에서 가속도 센서(CMG-5T 1g, 2g 센서)를 설치하고 제안된 방법으로 센서 주파수 응답스펙트럼을 구하였을 때 좋은 결과를 얻을 수 있었다. 또한 2011년 도호쿠 대지진에 대하여 서울대학교 관측소(SNU)의 STS-2와 ES-T에서 얻어진 자료에 대하여 제안된 방법을 적용한 결과 STS-2 광대역 센서의 저주파수 대역에 대한 주파수 응답을 얻을 수 있었다. 대역통과필터와 힐버트 변환 방법을 이용할 경우, 주파수 스펙트럼비를 이용한 방법보다 신호대 잡음이 낮은 부분에서도 명확한 주파수 응답스펙트럼을 보여주었다.

• Earthquakes and Structures
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• 제15권3호
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• pp.263-273
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• 2018

Operational modal analysis is being widely used in aerospace, mechanical and civil engineering. Common research fields include optimal design and rehabilitation under dynamic loads, structural health monitoring, modification and control of dynamic response and analytical model updating. In many practical cases, influence of noise contamination in the recorded data makes it difficult to identify the modal parameters accurately. In this paper, an improved frequency domain method called Enhanced Least Square Complex Frequency (eLSCF) is developed to extract modal parameters from noisy recorded data. The proposed method makes the use of pre-defined approximate mode shape vectors to refine the cross-power spectral density matrix and extract fundamental frequency for the mode of interest. The efficiency of the proposed method is illustrated using an example five story shear frame loaded by random excitation and different noise signals.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.841-848
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• 2008

This paper examined dynamic characteristics of high speed trains using a time varying frequency transform. Fourier transform based methods are frequently used for the calculation of the dynamic characteristics of trains in the frequency domain, but they cannot represent the time-varying characteristics. Therefore it is necessary to examine their characteristics using a time-varying frequency transform. For the examination, the non-stationary vibration of wheelset, bogie, and carbody are measured using accelerometers and stored in a data aquisition system. They are processed with localization of the data by modulating with a window function, and Fourier transform is taken to each localized data, called the short-time Fourier transform. From the processed results, time varying auto-spectral density, cross-spectral density, frequency response, and coherence functions have been calculated. From the analysis, it is confirmed that the time varying frequency transform is a useful method for analyzing the dynamic characteristics of high speed trains.

• 대한안전경영과학회지
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• 제17권3호
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• pp.377-381
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• 2015

For the first time, PLL frequency synthesizer using DDS was adapted for the data link communication system which should fast transmit and receive each other with the correct information and fast Hopping System. It is inevitable to lost the synchronization by slow lock time about PLL and no cut off the noise. This paper propose the design of PLL frequency synthesizer which can make 800MHz frequency range. The PLL frequency synthesizer has three high qualities those are frequency accuracy, fast lock time and outstanding phase noise.

• Bulletin of the Korean Chemical Society
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• 제33권10호
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• pp.3391-3396
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• 2012

Two-dimensional infrared (2D-IR) spectroscopy can probe the fast structural evolution of molecules under thermal equilibrium. Vibrational frequency fluctuation caused by structural evolution produced the time-dependent line shape change in 2D-IR spectrum. A variety of methods has been used to connect the evolution of 2D-IR spectrum with Frequency-Frequency Correlation Function (FFCF), which connects the experimental observables to a molecular level description. Here, a new method to extract FFCF from 2D-IR spectra is described. The experimental observable is the time-dependent frequency shift of maximum peak position in the slice spectrum of 2D-IR, which is taken along the excitation frequency axis. The direct relation between the 2D-IR peak shift and FFCF is proved analytically. Observing the 2D-IR peak shift does not need the full 2D-IR spectrum which covers 0-1 and 1-2 bands. Thus data collection time to determine FFCF can be reduced significantly, which helps the detection of transient species.

• Journal of information and communication convergence engineering
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• 제9권3호
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• pp.305-309
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• 2011

This paper proposes a new rotational frequency detector (RFD) for phase-locked loop (PLL) or clock and data recovery (CDR) applications for fast frequency acquisition. The proposed RFD uses the four states finite state machine (FSM) model to accelerate the frequency acquisition time. It is modeled and simulated with MATLAB Simulink. The functionalities of the proposed RFD are examined and the results are compared to those of a conventional RFD. The proposed RFD's frequency acquisition time is four times faster than that of a conventional one. The proposed RFD incorporated with a phase detector (PD) in PLL or CDR is expected to improve the frequency and phase acquisition performance later greatly.