• 정보과학회 논문지
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• 제42권3호
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• pp.295-306
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• 2015

MOnCa2는 스마트폰에 장착된 센서와 온톨로지 추론 기반의 지능형 스마트폰 어플리케이션 구축을 위한 프레임워크다. 기존에 연구되었던 MOnCa는 온톨로지 인스턴스로 등록된 센서 값에 대한 정보를 바탕으로 사용자의 현재 상황을 판단 및 추론하였다. 이러한 방식은 사용자의 공간 정보나 주변에 존재하는 객체가 무엇인지 판단하는 것은 가능하나 사용자의 물리적인 콘텍스트(이동 행위, 이동할 목적지 등등) 판단하는 것은 불가능했다. 본 논문에서 설명하는 MOnCa2는 사용자 개개인의 물리적인 콘텍스트를 판단 및 추론하기 위해 스마트폰의 장착된 센서를 바탕으로 행위 및 이동 상황에 대응하는 인지 모델을 구축하고, 구축된 모델을 기반으로 사용자의 실시간 행위 및 이동 상황에 대해 1차적인 추론을 수행하며, 추론된 1차적인 콘텍스트에 대해 온톨로지 기반의 2차 추론을 통해 지능형 어플리케이션에 필요한 고수준 사용자 콘텍스트를 생산한다. 따라서 본 논문은 스마트폰의 가속도 센서를 기반으로 사용자의 이동에 필요한 행위를 인지하는 기법, 스마트폰의 GPS 신호를 바탕으로 이동 목적지와 경로를 예측하는 기법, 온톨로지 실체화를 적용하여 고수준 콘텍스트를 추론하는 과정에 초점을 맞추어 설명을 한다.

• Journal of Biosystems Engineering
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• 제35권5호
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• pp.357-365
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• 2010

Workers in the agricultural industry have been exposed to many work-related musculoskeletal disorders. So, our objectives in this study were to measure and analyze worker's physiological bio-information to reduce musculoskeletal disorders in relation to agricultural works. We investigated worker's bio-information of physiological signals during the repeated lifting work such as body temperature, heart rate, blood pressure, physical activity, and heart rate variability. Moreover, we analyzed the workloads of lumbar spine during the repeated lifting work using the 3-axis acceleration and angular velocity sensors. The changes of body temperature was not significant, but the mean heart rate increased from 90/min to 116/min significantly during 30 min of repeated lifting work (p<0.05). The average worker's physical activity(energy consumption rate) was 206 kcal/70kg/h during the repeated lifting work. The workers' acute stress index was more than 80, which indicated a stressful work. Also, the maximum shear force on the disk (L5/S1) of a worker's lumbar spine in static state was 500N, and the maximum inertia moment was 139 $N{\cdot}m$ in dynamic state.

• Smart Structures and Systems
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• 제16권2호
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• pp.281-294
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• 2015

Bolted joint connection is the most commonly used connection element in structures and devices. The loosening due to external dynamic loads cannot be observed and measured easily and may cause catastrophic loss especially in an extreme requirement and/or environment. In this paper, an innovative Real-time Cross-Correlation Method (RCCM) for monitoring of the bolted joint loosening was proposed. We apply time reversal process on stress wave propagation to obtain correlation signal. The correlation signal's peak amplitude represents the cross-correlation between the loosening state and the baseline working state; therefore, it can detect the state of loosening. Since the bolt states are uncorrelated with noise, the peak amplitude will not be affected by noise and disturbance while it increases SNR level and increases the measured signals' reliability. The correlation process is carried out online through physical wave propagation without any other post offline complicated analyses and calculations. We implemented the proposed RCCM on a single bolt/nut joint experimental device to quantitatively detect the loosening states successfully. After that we implemented the proposed method on a real large structure (reaction wall) with multiple bolted joint connections. Loosening indexes were built for both experiments to indicate the loosening states. Finally, we demonstrated the proposed method's great anti-noise and/or disturbance ability. In the instrumentation, we simply mounted Lead Zirconium Titanate (PZT) patches on the device/structure surface without any modifications of the bolted connection. The low-cost PZTs used as actuators and sensors for active sensing are easily extended to a sensing network for large scale bolted joint network monitoring.

• Smart Structures and Systems
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• 제16권2호
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• pp.295-328
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• 2015

In recent years the monitoring of structural behavior through acquisition of vibrational data has become common practice. In addition, recent advances in sensor development have made the collection of diverse dynamic information feasible. Other than the commonly collected acceleration information, Global Position System (GPS) receivers and non-contact, optical techniques have also allowed for the synchronous collection of highly accurate displacement data. The fusion of this heterogeneous information is crucial for the successful monitoring and control of structural systems especially when aiming at real-time estimation. This task is not a straightforward one as measurements are inevitably corrupted with some percentage of noise, often leading to imprecise estimation. Quite commonly, the presence of noise in acceleration signals results in drifting estimates of displacement states, as a result of numerical integration. In this study, a new approach based on a time domain identification method, namely the Unscented Kalman Filter (UKF), is proposed for correcting the "drift effect" in displacement or rotation estimates in an online manner, i.e., on the fly as data is attained. The method relies on the introduction of artificial white noise (WN) observations into the filter equations, which is shown to achieve an online correction of the drift issue, thus yielding highly accurate motion data. The proposed approach is demonstrated for two cases; firstly, the illustrative example of a single degree of freedom linear oscillator is examined, where availability of acceleration measurements is exclusively assumed. Secondly, a field inspired implementation is presented for the torsional identification of a tall tower structure, where acceleration measurements are obtained at a high sampling rate and non-collocated GPS displacement measurements are assumed available at a lower sampling rate. A multi-rate Kalman Filter is incorporated into the analysis in order to successfully fuse data sampled at different rates.

• Structural Engineering and Mechanics
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• 제67권4호
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• pp.359-368
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• 2018

In this paper, a method is presented to identify the physical and modal parameters of multistory shear building based on substructural technique using block pulse generalized operational matrix and genetic algorithm. The substructure approach divides a complete structure into several substructures in order to significantly reduce the number of unknown parameters for each substructure so that identification processes can be independently conducted on each substructure. Block pulse functions are set of orthogonal functions that have been used in recent years as useful tools in signal characterization. Assuming that the input-outputs data of the system are known, their original BP coefficients can be calculated using numerical method. By using generalized BP operational matrices, substructural dynamic vibration equations can be converted into algebraic equations and based on BP coefficient for each story can be estimated. A cost function can be defined for each story based on original and estimated BP coefficients and physical parameters such as mass, stiffness and damping can be obtained by minimizing cost functions with genetic algorithm. Then, the modal parameters can be computed based on physical parameters. This method does not require that all floors are equipped with sensor simultaneously. To prove the validity, numerical simulation of a shear building excited by two different normally distributed random signals is presented. To evaluate the noise effect, measurement random white noise is added to the noise-free structural responses. The results reveal the proposed method can be beneficial in structural identification with less computational expenses and high accuracy.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권1호
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• pp.129-140
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• 2017

In this paper, a $4{\times}32$-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in $0.18{\mu}m$ CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The mid-band gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is $10.2{\mu}V_{rms}$. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.

• 한국통신학회논문지
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• 제34권5A호
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• pp.391-400
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• 2009

최근 이동 통신 네트워크는 2G에서 3G로 이동하고 있으며 주파수의 효율성을 추구하고자 한다. 인지 무선 통신(Cognitive radio) 기술은 secondary 네트워크와 primary 네트워크의 공존을 허용함으로써 주파수의 효율성을 달성할 수 있는 기술로 떠오르고 있다. 하지만, primary 네트워크의 주파수 재사용율을 고려하지 않는 기존 인지무선 통신 방식은 primary 네트워크와 secondary 네트워크를 포함한 전체 네트워크의 성능을 저하시키게 된다. 본 논문에서는 secondary 네트워크가 primary 네트워크의 파일럿 신호를 감지하여 최적의 가용 주파수를 선택하는 복잡도가 낮은 방식을 제안한다. 그리고, primary 네트워크의 간섭을 최소화하는 제약조건을 가지면서 업링크와 다운링크의 용량을 최대화하는 최적화 문제를 고려한다. 시뮬레이션을 통하여 제안방법과 기존방법의 성능을 비교하였으며, 제안방법이 기존방법보다 primary 네트워크의 주파수 재사용율이 작고 채널 사용 변화가 심할 때 특히 우수한 성능을 보임을 확인할 수 있었다.

• Investigative Magnetic Resonance Imaging
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• 제20권1호
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• pp.53-60
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• 2016

Purpose: To develop a technique for quantifying the $^{13}C$-metabolites by performing frequency-selective hyperpolarized $^{13}C$ magnetic resonance spectroscopy (MRS) in vitro which combines simple spectrally-selective excitation with spectrally interleaved acquisition. Methods: Numerical simulations were performed with varying noise level and $K_p$ values to compare the quantification accuracies of the proposed and the conventional methods. For in vitro experiments, a spectrally-selective excitation scheme was enabled by narrow-band radiofrequency (RF) excitation pulse implemented into a free-induction decay chemical shift imaging (FIDCSI) sequence. Experiments with LDH / NADH enzyme mixture were performed to validate the effectiveness of the proposed acquisition method. Also, a modified two-site exchange model was formulated for metabolism kinetics quantification with the proposed method. Results: From the simulation results, significant increase of the lactate peak signal to noise ratio (PSNR) was observed. Also, the quantified $K_p$ value from the dynamic curves were more accurate in the case of the proposed acquisition method compared to the conventional non-selective excitation scheme. In vitro experiment results were in good agreement with the simulation results, also displaying increased PSNR for lactate. Fitting results using the modified two-site exchange model also showed expected results in agreement with the simulations. Conclusion: A method for accurate quantification of hyperpolarized pyruvate and the downstream product focused on in vitro experiment was described. By using a narrow-band RF excitation pulse with alternating acquisition, different resonances were selectively excited with a different flip angle for increased PSNR while the hyperpolarized magnetization of the substrate can be minimally perturbed with a low flip angle. Baseline signals from neighboring resonances can be effectively suppressed to accurately quantify the metabolism kinetics.

• 부모자녀건강학회지
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• 제1권
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• pp.56-74
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• 1998

The language of the newborn, like that of adults, is one of gesture, posture, and expression(Lewis, 1980). Helping parents understand and respond to their newborn's cues will make caring for their baby more enjoyable and may well provide the foundation for a communicative bond that will last lifetime. Infant state provides a dynamic pattern reflecting the full behavioral repertoire of the healthy infant(Brazelton, 1973, 1984). States are organized in a predictable emporal sequence and provide a basic classification of conditions that occur over and over again(Wolff, 1987). They are recognized by characteristic behavioral patterns, physiological changes, and infants' level of responsiveness. Most inportantly, however, states provide caregivers a framework for observing and understanding infants' behavior. When parents know how to determine whether their infant is sleep, awake, or drowsy, and they know the implications, recognition of states has for both the infant's behavior and for their caregiving, then a lot of hings about taking care of a newborn become much easier and more rewarding. Most parents have the skills and desire to do what is best for their infant. The skills 7373parents bring to the interaction are: the ability to read their infant's cues: to stimulate the baby through touch, movement, talking, and looking at: and to respond in a contingent manner to the infant's signals. Among the crucial skills infants bring to the interaction are perceptual abilities: hearing and seeing, the capacity to look at another for a period of time, the ability to smile, be consoled, adapt their body to holding or movement, and be regular and predictable in responding. Research demonstrates that the absence of these skills by either partner adversely affects parent-infant interaction and later development. Observing early parent-infant interactions during the hospital stay is important in order to identify parent-infant pairs in need of continued monitoring(Barnard, et al., 1989).

• 대한전자공학회논문지SD
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• 제41권4호
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• pp.1-8
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• 2004

고속 저전력 디지털 시스템을 위해 클록 스큐를 최소화하고 동적 파워 소모를 줄이는 새로운 클록 분배 방법을 제안하였다. 제안된 방법은 접힌 라인구조(FCL)과 위상 섞임 회로(phase blending circuit)을 이용하여 Zero-skew 특성을 갖는다. FCL에 적합한 라인 구조를 분석하기 위해, 마이크로 스트립과 코플라너 라인을 FCL형 클록 라인으로 분배되었다. 시뮬레이션 결과는 l0㎜ 떨어져 있는 두 리시버 사이의 최대 클록 스큐가 1㎓에서 10psec보다 적고 20㎜ 떨어져 있는 두 리시버 사이의 최대 클록 스큐는 1㎓에서 60 psec보다 작음을 보였다. 또한, 공정, 전압, 온도 변화에 무관하게 클록 신호들의 스큐가 변하지 않음을 알 수 있었다.