• 한국방재학회:학술대회논문집
• /
• 2011.02a
• /
• pp.208-208
• /
• 2011

우리나라의 하천은 산악지역이 많은 지형적인 특성상 만곡이 많은 산지하천의 특성을 가지고 있다. 따라서 집중호우가 많이 발생하는 홍수시에는 급격한 수위상승과 함께 하천 인근 지역에서 많은 재해가 발생하게 된다. 본 연구에서는 남한강의 지류인 평창강의 수리 수문의 경향성을 분석하고, 만곡부에서의 수리학적 특성을 분석하기 위해 평창강 상류에 위치한 지방하천인 속사천과 흥정천 합류부를 중심으로 4곳의 수위관측소에서 유량측정을 실시하였으며, 속사천의 2개 지점과 흥전천의 2개 지점의 만곡부에서 홍수시 수위상승으로 인한 편수위를 측정하고자 하였다. 수위관측소는 속사천에 장평교와 의풍포교 관측소가 있으며, 흥정천에 백옥포 관측소 그리고 합류부 이후에 평창강의 상안미 관측소가 있다. 본 연구에서는 2010년 3월부터 12월까지 측정된 유량측정 자료의 정량적 분석과 불확실도 해석을 실시하여 시험유역 운영 자료에 대한 정확성을 분석하고자 하였다. 이와 같은 시험유역의 운영은 유역의 수문순환 특성분석의 순환구조의 이해와 모델개발 검정 및 검증 기반의 자료를 구축하여 산지지형의 해석을 위한 기초자료로 활용할 수 있을 것이다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.41 no.6
• /
• pp.73-80
• /
• 2004

In this paper, we propose a medical image processing method for detection of periodontal disease. The proposed method is the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by digital image processing technique, that is necessary for getting subtraction image and ROI(Region of Interest) focused on a selection method using the structured features in target images. And the method services accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and using application system.

• Journal of the Korea Convergence Society
• /
• v.8 no.10
• /
• pp.249-255
• /
• 2017

The domestic tourism industry mostly relies on quantitative surveys for customer satisfaction. However, customer participation of the questionnaires is extremely low and the improvement of the dissatisfactory factors is not being performed promptly. In this paper, we propose a new topic map system and prove its empirical effectiveness to improve the accuracy of customer feedback information and the efficiency of the analysis process. The topic map system is a system for analyzing large amounts of customer feedback data in real time. It uses text mining and ontology techniques by integrating data collected over a certain period from real-time SNS and quantitative data obtained from existing survey systems. The effect after improving the analyzed factors of dissatisfaction is also a new and innovative evaluation system for monitoring customer satisfaction in real time. The classification based on this integrated data is a classification system that is specific to the product or the customer. According to this classification, it is possible to measure the effect of the recognition and improvement of the complaint factor in real time on the topic map system. This provides a sophisticated prioritization of the improvement factors and enables customer satisfaction quality control as a PDCA feedback system. In addition, the survey period and costs are greatly shortened, and responses can be more precise to the existing survey method. As a practical application, this system is applied to the largest H travel agency in Korea to prove the accuracy and efficiency of the proposed system.

• Journal of Biomedical Engineering Research
• /
• v.20 no.4
• /
• pp.451-459
• /
• 1999

During the electromyographic evaluation for the diagnosis of neuropathy, presence for site of lesion could be predicted by a detection of denervation potentials such as fibrillation potentials or positive sharp waves in a group of muscles. Unfortunately, since denervation potentials are distinguished by examiner's experience, it is possible to make mistake identifying endplate spikes as a denervation potential. The aim of the study was to extract parameters to make an algorithm for quantitative distinction between denervation potentials and endplate spikes. It will help to minimize the examiner's bias and to localize the site of lesion thus increase the reliability on EMG diagnosis. There types of signals, endplate spike, fibrillation potential and positive sharp wave were obtained from the EDB(extensor digitorum brevis) muscle using then neuropathic patients. Eight parameters such as duration, area, slope, peak-to-peak amplitude, positive peak negative peak amplitude, ratio of positive to negative peak amplitude, and number of phase were extracted and compared. As a results, peak-to-peak amplitude, positive peak amplitude, ratio of positive to negative peak amplitude showed statistically significant differences between endplate spikes and denervation potentials. It was concluded that those parameters could be used to establish an algorithm which will improve the accuracies in automated quantitative EMG diagnosis.

• Korean Journal of Poultry Science
• /
• v.28 no.3
• /
• pp.215-224
• /
• 2001

Since nitrogen(N) is a volatile compound affected by many environmental factors, determining the N content of manure tends to be difficult. Upon arrival in the laboratory, the manure should be moist and refrigerated. Manure samples will have variable N contents due to drying temperature, and the presence of soil in the sample will affect N content. Acidification of the sample prevents ammonia volatilization and should be done before drying. It is recommended that manure samples be pretreated with a strong oxidizing agent, KMnO$_4$, followed by digestion under reduced conditions (reduced Fe-$H_{2}$ $SO_{4}$ ), which achieves a complete recovery of both $NO_{3}$ -N and $NO_{2}$ -N without a low recovery of $NH_{4}$ -N, resulting in a more accurate determination of N content. Accuracy of results for N content determined by recently developed rapid analysis techniques in the field should be tested by comparison with results obtained at laboratories using approved standard methods. Most commonly, the Kjeldahl system is used to determine manure N content. More research is needed on the effects of species, breed, age and individuals on the nutrient contents of manure. The procedures for manure sampling on the farm, shipping and handling of the sample until it reaches the laboratory, and the methods of sampling of the manure at the laboratory must be studied. Development of animal agricultural laboratories where feed, manure, soil, and water are all analyzed by appropriate specialists is needed.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.364-364
• /
• 2012

수자원 연구의 주요 목적인 효과적인 홍수 및 가뭄관리를 하기 위해서는 그 연구의 기초가 되는 자료를 관측하고 정도(accuracy, 精度)를 향상시키는 연구 또한 매우 중요한 부분이라고 볼 수 있다. 이러한 점에서 수위-유량측정의 경우, 관측자의 숙련도와 계측기 오차에 따라 관측값에 미치는 영향이 큰 특징을 갖고 있어 유량측정의 정확성을 높이고자 진보된 계측기의 개발 및 분석 방법에 관한 연구는 꾸준히 진행되고 있다. 일반적으로 유량을 추정하기 위해서 특정 단면에서의 수위를 측정하여 이를 수위-유량 관계곡선을 통해서 유량으로 환산하고, 수위-유량 관계를 측정한 후 이를 회귀분석 방법으로 내삽 및 외삽을 실시하여 유량을 측정하게 된다. 그러나 수위-유량 관계곡선에서 저수위와 고수위를 하나의 곡선식으로 하게 되는 경우 정도가 낮아지게 되므로 많은 경우에 있어서 저수위, 고수위를 각각의 곡선으로 구하여 사용하고 있다. 문제는 이러한 경우 정량적으로 변곡점을 구하기보다는 경험적으로 저수위와 고수위를 구분하고 있으며, 수위-유량관계를 회귀식에 의해서 추정하게 되므로 이에 대한 불확실성이 발생하게 된다. 따라서 본 연구에서는 불확실성을 정량화시키기 위한 방법으로 Bayesian MCMC 기법을 활용하며 수위-유량 관계곡선식의 매개변수들의 사후분포를 추정하여 매개변수의 최적화 및 불확실성을 평가하였다. 앞서 언급되었듯이 저수위 및 고수위로 분리하여 수위-유량 곡선식을 도출하고 있으나 저수위 및 고수위를 분리하는 기준이 경험적이기 때문에 신뢰성이 저해되는 문제점이 발생한다. 본 연구에서는 수위-유량 곡선식의 매개변수들을 최적화 하는 동시에 Poisson 분포 기반의 변동점 분석이 연동되어 저수위 및 고수위를 분리할 수 있는 Bayesian 기반 통합 수위-유량 곡선 해석 방법을 개발하고자 한다.

• Analytical Science and Technology
• /
• v.15 no.5
• /
• pp.410-416
• /
• 2002

In this study, a new quantitative analytical method has been developed for the rapid determination of vancomycin in human plasma and urine using liquid chromatography/tandem mass spectrometry (LC - MS/MS). Chromatography was carried out on a $C_{18}$ XTerra MS column ($2.1{\times}30mm$) with a particle size of $3.5{\mu}m$. The mobile phase was 0.25% formic acid in 10% acetonitrile and the flow rate was $250{\mu}L/min$. Vancomycin and caffeine (internal standard) were detected by MS/MS using multiple reaction monitoring (MRM). Vancomycin gives a predominant doubly protonated precursor molecule ($[M+2H]^{2+}$) at m/z 725.0 and a corresponding product ion of m/z 100.0. Detection of vancomycin was good, accurate and precise, with a limit of detection of 1 nM in plasma. The calibration curves for vancomycin in human plasma was linear in a concentration range of $0.01{\mu}M$ - $100{\mu}M$ for plasma. This method has been successfully applied to determine the concentration of vancomycin in human plasma and urine from pharmacokinetic study and relative studies.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.699-707
• /
• 2020

With the development of deep learning technology, voice processing-related technology is applied to various areas, such as STT (Speech To Text), TTS (Text To Speech), ChatBOT, and intelligent personal assistant. In particular, the STT is a voice-based, relevant service that changes human languages to text, so it can be applied to various IT related services. Recently, many places, such as general private enterprises and public institutions, are attempting to introduce the relevant technology. On the other hand, in contrast to the general IT solution that can be evaluated quantitatively, the standard and methods of evaluating the accuracy of the STT engine are ambiguous, and they do not consider the characteristics of the Korean language. Therefore, it is difficult to apply the quantitative evaluation standard. This study aims to provide a guide to an evaluation of the STT engine conversion performance based on the characteristics of the Korean language, so that engine manufacturers can perform the STT conversion based on the characteristics of the Korean language, while the market could perform a more accurate evaluation. In the experiment, a 35% more accurate evaluation could be performed compared to the existing methods.

• Korean Chemical Engineering Research
• /
• v.52 no.4
• /
• pp.467-474
• /
• 2014

Preliminary design in chemical process furnishes economic feasibility through calculation of both mass balance and energy balance and makes it possible to produce a desired product under the given conditions. Through this design stage, the process possesses unchangeable characteristics, since the materials, reactions, unit configuration, and operating conditions were determined. Unique characteristics could be very economic, but it also implies various potential risk factors as well. Therefore, it becomes extremely important to design process considering both economics and safety by integrating process simulation and quantitative risk analysis during preliminary design stage. The target of this study is LNG liquefaction process. By the simulation using Aspen HYSYS and quantitative risk analysis, the design variables of the process were determined in the way to minimize the inherent explosion risks and operating cost. Instead of the optimization tool of Aspen HYSYS, the optimization was performed by using stochastic optimization algorithm (Covariance Matrix Adaptation-Evolution Strategy, CMA-ES) which was implemented through automation between Aspen HYSYS and Matlab. The research obtained that the important variable to enhance inherent safety was the operation pressure of mixed refrigerant. The inherent risk was able to be reduced about 4~18% by increasing the operating cost about 0.5~10%. As the operating cost increases, the absolute value of risk was decreased as expected, but cost-effectiveness of risk reduction had decreased. Integration of process simulation and quantitative risk analysis made it possible to design inherently safe process, and it is expected to be useful in designing the less risky process since risk factors in the process can be numerically monitored during preliminary process design stage.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.8 no.3
• /
• pp.249-257
• /
• 2006

The spatial distribution of design parameters greatly affects tunnel behavior during and after construction, as well as in the long-term temporal responses. However, the tunnel design parameters commonly used in numerical modeling tend to be representative or average values of global-scale properties. Furthermore, the uncertainty and spatial variation of the design parameters increase as the tunnel scale increases. Consequently, the probability of failure also increases. In order to achieve structural stability in large-section tunnels, the design framework must take into consideration the quantitative effect of design parameter variations on tunnel behavior. Therefore, this paper suggests a statistical approach to numerical modeling to explore the effect of spatially distributed design parameters in a circular tunnel. Also, the effect of spatial variation in the lining strength is studied in this paper. The numerical results suggest that the deformation around the tunnel increases with an increase in the variation of the design parameters.