• Proceedings of the Korean Geotechical Society Conference
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• 2002.10a
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• pp.213-227
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• 2002

절토사면의 붕괴원인은 토질 및 지질조건, 지형, 강우, 지하수 및 지표수, 사면형상, 굴착 및 발파와 같은 인위적인 조건, 사면보호공 등과 같이 다양한 영향이 있을 수 있으나 가장 많은 영향을 주는 원인으로 토질 및 지질적인 조건이라고 할 수 있다. 본 논문은 이러한 지질조건에서 붕괴가 발생될 경우의 활동면에 대한 전단강도 추정하는 방법에 있어 역해석법에 의한 활동면의 전단강도 추정을 연구하였다 연구결과 붕괴된 사면에서 화성암은 마찰각 20$^{\circ}$~30$^{\circ}$, 점착력 0~2t/$m^2$의 범위를 가지며 퇴적암에서는 마찰각 $10^{\circ}$~17$^{\circ}$, 점착력 0~2.5t/$m^2$의 범위, 변성암에서는 마찰각 $10^{\circ}$~40$^{\circ}$, 점착력 0~4.0t/$m^2$의 범위가 우세한 것으로 나타났다. 그리고 지질구별 구분에 의하면, 절리에 의해 붕괴가 발생된 경우에는 마찰각 30$^{\circ}$~40$^{\circ}$, 점착력 0~3.5t/$m^2$, 엽리면은 마찰각 30$^{\circ}$~35$^{\circ}$, 점착력 0.5~3.0t/$m^2$, 단층면은 마찰각 11$^{\circ}$~38$^{\circ}$, 점착력 0~3.0t/$m^2$, 층리면은 마찰각 $10^{\circ}$~17$^{\circ}$, 점착력 0~2.5t/$m^2$ 정도의 범위를 갖는 것으로 나타났다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.124-124
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• 2012

기후변화가 수자원에 미치는 영향을 예측하는 데에 널리 사용되는 GCMs (General Circulation Models)는 모의 결과의 시 공간적 해상도가 낮기 때문에 상세화 (Downscaling) 기법을 거쳐 수문 모형에 적용된다. 상세화 기법은 크게 역학적 상세화 (Dynamical downscaling)와 통계적 상세화 (Statistical downscaling)로 구분되며, 종류가 매우 다양하고 각각의 모의 능력에 차이가 있으므로 적절한 기법을 선택할 필요가 있다. 본 연구의 목적은 통계적 상세화 기법 중 인공신경망과 LARS-WG 모형을 활용하여 CGCM3.1 T63의 모의 결과를 상세화하고, 두 모형의 모의 결과를 비교하는 데에 있다. 인공신경망은 비선형함수에 의한 전이함수 모형인 반면 LARS-WG는 추계학적 기상 발생기 모형으로, 각 모형을 이용해 CGCM3.1 T63의 강수량 및 평균기온 모의 결과를 서울 지역에 대해 공간적으로 상세화하였다. 모형의 검 보정은 1971년부터 2000년까지 30년 동안의 서울 관측소 일 기상 자료와 CGCM3.1 T63 (20C3M 시나리오) 모의 결과를 이용하여 수행하였다. 각 기법의 비교 및 평가는 2001년부터 2011년까지 11년 동안의 일 기상 자료와 CGCM3.1 T63 (IPCC SRES A1B 시나리오) 모의 결과를 이용하였다. 분석 결과, 인공신경망 모형은 입력 자료의 형태에 따라 모의 결과가 크게 달라지는 특성을 보였으며, LARS-WG 모형은 강수량을 실제보다 과소 추정하는 경향을 보였다. 본 연구에서는 강수량과 평균기온만을 대상으로 하였으나, 추후에 다른 기상인자를 고려함으로써 모형의 적용성을 보다 종합적으로 판단할 수 있을 것이다.

• Analytical Science and Technology
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• v.23 no.5
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• pp.465-476
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• 2010

In this study, a number of volatile organic compounds (VOCs) including benzene, toluene, p-xylene, styrene, and methyl ethyl ketone were analyzed from samples collected in ambient air and under the field conditions. These samples were analyzed independently by two different set-ups for VOC analyses, i.e., between [1] gas chromatography/flame ionization detector with tube sampling - (F-T system) and [2] gas chromatography/mass spectrometer with bag sampling (M-B system). The analytical results derived by both systems showed fairly similar patterns in relative sense but with moderately large differences in absolute sense. The results of M-B system were high relative to F-T system with the F-T/M-B ratio below 1. If the relative biases of the two measurement techniques are derived in terms of percent difference (PD) in concentration values, the results were generally above 35% on average. A student t-test was applied to investigate the statistical significance of those differences between the systems. The results of both analytical systems were different at 95% confidence level for toluene, p-xylene, styrene, and methyl ethyl ketone (P < 0.043). However, F-T and M-B systems showed strong correlations for toluene and p-xylene. The observed bias is explained in large part by such factors as the differences in standard phases used for each system and the chemical loss inside the bag sampler.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.308-309
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• 2024

IoT(Internet of Things) 기기를 대상으로 하는 보안 위협이 증가하면서 IoT 정보의 기밀성 유지가 중요한 과제로 떠오르고 있다. 따라서 경량, 저가, 저전력 IoT 환경에서 높은 보안 수준을 유지할 수 있는 암호화 방법이 필요하다. 본 연구에서 AES(Advanced Encryption Standard)와 SAES(Simplified AES)를 이용한 이중 암호화 기법을 제안한다. 제안하는 기법은 SAES 로 평문 메시지 전체를 블록 단위로 암호화하고, 각 암호문 블록의 일부 비트를 추출해 AES 로 재암호화한다. 실험 결과에 따르면, 제안한 경량 이중 암호화 기법이 종래 방식보다 암호문의 크기를 32% 줄일 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.256-259
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• 2023

최근 스마트 시티 등과 같은 이유로 IoT에 대한 관심이 증가하며 이에 대한 보안 솔루션 또한 주목받게 되었다. 이때 블록체인이 보안 솔루션으로써 많은 관심을 받고있지만 확장성에 한계에 의하여 IoT와의 융합에 제한을 받고있는 상황이다. 따라서 이러한 확장성 문제를 해결하기 위한 다양한 기법들이 존재한다. 본 논문에서는 확장성의 한계를 해결하기 위해 블록체인 경량화 기법의 연구 사례에 대하여 알아본다.

• Journal of the Korean Society of Radiology
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• v.81 no.1
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• pp.70-80
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• 2020

Currently, there has been an increase in the use of surgical modalities to treat lymphedema and MR imaging to examine lymphatic vessels. Furthermore, there have been several advancements in the field of MR imaging, from the traditional heavily T2-weighted images to three-dimensional images. Three-dimensional images include spoiled gradient echo images, and numerous advanced techniques have been implemented. Among the fat suppression techniques, mDixon technique has recently been in the spotlight.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.1
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• pp.69-78
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• 2007

A Frequency synthesizer for T-DMB and mobile-DTV applications was designed using $0.18{\mu}m$ CMOS process with 1.8V supply. PMOS transistors were chosen for VCO core to reduce phase noise. The VCO range is 920MHz-2100MHz using switchable inductors, capacitors and varactors. Varactor biases that improve varactor acitance characteristics were minimized as two, and $K_{VCO}$(VCO gain) value was aintained by switchable varactor. Additionally, VCO was designed that VCO gain and the interval of VCO gain were maintained using VCO gain compensation logic. VCO, PFD, CP and LF were verified by Cadence Spectre, and divider was simulated using Matlab Simulink, ModelSim and HSPICE. VCO consumes 10mW power, and is 56.3% tuning range. VCO phase noise is -127dBc/Hz at 1MHz offset for 1.58GHz output frequency. Total power consumption of the frequency synthesizer is 18mW, and lock time is about $140{\mu}s$.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1819-1824
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• 2018

This paper proposes a control method of ASMR(autonomous sensory meridian response) contents to relieve user's stress and improve his attention. The proposed method measures EEG(electroencephalography), attention, meditation, and eyeblink data from an EEG device and sends them to an oneM2M-compliant IoT(internet of things) server platform through an Android IoT Application. Then a SVM(support vector machine) model is built to classify user's mental health status by using EEG, attention and meditation data collected in the server platform. The ASMR contents are controlled by the mental health status classified by a SVM model and the eyeblink data. When comparing the SVM models according to types of data used, the SVM model with attention and meditation data showed accuracy of 85.7%. It was verified that the proposed control algorithm of ASMR contents properly worked as the mental health status from the SVM model and the eyeblink data changed.

• Journal of the Korean Society of Radiology
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• v.15 no.7
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• pp.999-1005
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• 2021

The object of this research is CS, which increases resolution while shortening inspection time, is applied to MRA to compare the quality of images for SENSE and CS techniques and to evaluate SNR and CNR to find out the optimal techniques and to provide them as clinical basic data based on this information. Data were analyzed on 32 patients who performed TOF MRA tests at a university hospital in Chung cheong-do (15 males, 17 females), ICA stenosis:10, M1 Aneurysm:10, and average age 53 ± 4.15). In the inspection, the inspection equipment was Ingenia CX 3.0T, Archieva 3.0T, and 32 channel head coil and 3D gradient echo as a method for equipment data. SNR and CNR of each image were measured by quantitative analysis, and the quality of the image was evaluated by dividing the observer's observation into 5 grades for qualitative evaluation. Imaging evaluation is described as being significant when the p-value is 0.05 or less when the paired T-test and Wilcoxon test are performed. Quantitative analysis of SNR and CNR in TOF MRA images Compared to the SENSE method, the CS method is a method measurement method (p <0.05). As an observer's evaluation, the sharpness of blood vessels: CS (4.45 ± 0.41), overall image quality: CS (4.77 ± 0.18), background suppression of images: CS (4.57 ± 0.18) all resulted in high CS technique (p = 0.000). In conclusion, the Compressed SENSE TOF MRA technique shows superior results when comparing and evaluating the SENSE and Compressed SENSE techniques in increased flow rate magnetic resonance angiography. The results are thought to be the clinical basis material in the 3D TOF MRA examination for brain disease.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.3
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• pp.142-147
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• 2020

The Internet of Things is valuable as a means of solving social problems such as personal, public, and industrial. Recently, the application of IoT technology to the healthcare industry is increasing. It is important to ensure reliability and security in IoT-based healthcare services. Communication protocols, wireless transmit/receive techniques, and reliability-based message delivery are essential elements in IoT healthcare devices. The system was designed and implemented to measure body temperature and activity through body temperature and acceleration sensors and deliver them to the oneM2M-based Mobius platform.