• Journal of Broadcast Engineering
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• v.27 no.1
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• pp.124-132
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• 2022

Recently, due to COVID-19, online remote classes and non-face-to-face exams have made it difficult to manage class attitudes and exam cheating. Therefore, there is a need for a system that automatically recognizes and detects the behavior of students online. Action recognition, which recognizes human action, is one of the most studied technologies in computer vision. In order to develop such a technology, data including human arm movement information and information about surrounding objects, which can be key information in online classes and exams, are needed. It is difficult to apply the existing dataset to this system because it is classified into various fields or consists of daily life action. In this paper, we propose a dataset that can classify attitudes in real-time online tests and classes. In addition, it shows whether the proposed dataset is correctly constructed through comparison with the existing action recognition dataset.

• Progress in Medical Physics
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• v.22 no.3
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• pp.107-116
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• 2011

Respiratory gated radiation therapy and stereotactic body radiation therapy require identical tumor motions during each treatment with the motion detected in treatment planning CT. Therefore, this study developed a tumor motion monitoring and analysis system during the treatments employing RPM data, gated setup OBI images and a data analysis software. A respiratory training and guiding program which improves the regularity of breathing was used to patients. The breathing signal was obtained by RPM and the recorded data in the 4D console was read after treatment. The setup OBI images obtained gated at 0% and 50% of breathing phases were used to detect the tumor motion range in crenio-caudal direction. By matching the RPM data recorded at the OBI imaging time, a factor which converts the RPM motion to the tumor motion was computed. RPM data was entered to the institute developed data analysis software and the maximum, minimum, average of the breathing motion as well as the standard deviation of motion amplitude and period was computed. The computed result is exported in an excel file. The conversion factor was applied to the analyzed data to estimate the tumor motion. The accuracy of the developed method was tested by using a moving phantom, and the efficacy was evaluated for 10 stereotactic body radiation therapy patients. For the sine wave motion of the phantom with 4 sec of period and 2 cm of peak-to-peak amplitude, the measurement was slightly larger (4.052 sec) and the amplitude was smaller (1.952 cm). For patient treatment, one patient was evaluated not to qualified to SBRT due to the usability of the breathing, and in one patient case, the treatment was changed to respiratory gated treatment due the larger motion range of the tumor than treatment planed motion. The developed method and data analysis program was useful to estimate the tumor motion during treatment.

• The Journal of Engineering Geology
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• v.31 no.4
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• pp.589-601
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• 2021

Artificial recharge technology is a method for solving problems such as groundwater level drop and ground subsidence caused by groundwater withdrawal. This study investigated the applicability of using the hydraulic conductivity of an aquifer to predict injection test results for aquifer restoration. Pumping and injection tests were performed under the same conditions as those for the artificial injection facility located in Icheon, Gyeonggi-do. The hydraulic conductivity of the aquifer, which plays a decisive role in restoring the groundwater level, was derived from the pumping test. A numerical model of a simplified on-site aquifer was constructed, and a transient analysis was applied with the same conditions as the pumping test. The correlation between the measured and the resulting model values is strong (R² = 0.78). The injection test was performed in a sedimentary layer composed of silt sand and clay sand. From the results of the injection test, an empirical formula was derived using Theim's formula, which is a common well analysis solution to determine the parameters of the aquifer from time-level data. The model values from the empirical formula have a high degree of correlation (R² = 0.99) with measured values. Under specific conditions, for areas where it is difficult to conduct an injection test, the formula from this study, which relies on the hydraulic conductivity of the aquifer determined through the pumping test, may be used to predict reliable injection rates for groundwater restoration.

• Journal of Gifted/Talented Education
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• v.19 no.2
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• pp.279-302
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• 2009

This paper was to examine the effects of university-based science gifted education program on scientifically gifted students' science problem finding ability and cognitive-affective factors. For this study, 69 scientifically gifted students with previous Silted education experiences at the university-based science gifted education centers and 91 scientifically gifted students without any previous gifted education experiences were compared. Both groups of students were currently enrolled at a specialized science high school. To compare both groups, scientific problem finding ability, science anxiety, science related attitude, self-efficacy, intrinsic motivation, test anxiety, cognitive strategies, and self-regulation were measured. The results indicate that there was no significant difference on scientific problem finding ability between these two groups. The comparison between the past and now in the aspects of variables observed in the study showed that both groups of students were decreased in the science anxiety and self-efficacy. But the test anxiety was significantly increased compared to the past in both groups. Implications of the study were discussed in depth.

• Korean Journal of Food Science and Technology
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• v.39 no.4
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• pp.372-379
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• 2007

A high-performance liquid chromatography-electrospray ionization (HPLC-ESI) tandem MS was developed for the rapid and simultaneous determination of forbidden medicines in dietary supplements. Thirteen medicinal components such as PDE-5 inhibitors and their analogues, and the newly identified dimethylsildenafil and xanthoanthrafil, were included in this study. After tentative standardization of molecular ions in both polarities using thirteen references on the mass spectrometer, with ESI-continuous infusion via the syringe pump method, the relative intensity of the ions present in the resulting spectra was quantitatively compared. From the results, the ion mode was selected depending on each reference's characteristics. A HPLC method coupled with the ESI mode was developed considering the matrix effect and interference depending on the type of sample. The validation test of the developed method was followed by carrying out precision, accuracy, recovery, sensitivity and linearity, etc. The method showed sufficiently high sensitivity, reproducibility, and specificity, and produced 4 times faster results when compared with the existing HPLC/UV method for the determination of forbidden compounds in dietary supplements.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Fire Science and Engineering
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• v.30 no.5
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• pp.124-129
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• 2016

According to the current law, on-site flame resistant-treated interior decorations should pass the flame resistant performance test through a 45 degree combustion test from the district fire department. Although a 45 degree combustion test is the most accurate method for determining the flame resistant performance, it can be unreliable when tested on unauthorized samples. To avoid unauthorized sampling, this study suggests on-site flame resistant inspection by X-ray fluorescence spectrometer. Ten types of flame resistant paint were spread on plywoods and MDFs and the components were analyzed by X-ray fluorescence spectrometer. As a result, due to a difference amounts of substances in each paint, each flame resistant paints showed its own characteristic spectrum and the contents of each substance could be determined. On-site flame resistant inspections can be used efficiently when institutional procedures are created.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.546-550
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• 2010

무인잠수정이 원하는 경로를 추종할 수 있도록 안정적인 운항제어를 수행하기 위해서는 잠수정의 동역학적 특성을 정확히 파악하는 것이 필요하다. 수중에서 거동하는 무인잠수정의 동역학적 특성은 제어입력뿐만 아니라 유체력계수에 의해 주로 결정되므로, 이러한 계수값을 정확하게 아는 것이 중요한 요소라 할 수 있다. 일반적으로 유체력계수는 PMM 시험과 같은 실험적 방법을 통하여 얻게 되지만 실험방법의 어려움과 실험장비들의 부정확성으로 인한 오차에 의하여, 얻어진 값들의 신뢰성이 많이 저하된다. 계수값들을 구할 수 있는 다른 방법으로는, 확장칼만필터 등과 같은 모델기반 추정 알고리즘을 통하여 유체력계수를 추정하는 것이다. 본 논문에서는 확장칼만필터를 이용하여 유체력계수를 추정하도록 하였으며, 설계된 추정 알고리즘의 성능을 검증하기 위하여 기존에 수행된 PMM 시험에 의해 얻어진 유체력계수의 실험값과 비교 분석하였다. 또한 본 논문에서는 만타형 무인잠수정을 이용하여 원하는 경로를 추종할 수 있도록, 추정된 유체력계수를 사용하여 수심제어 및 방향제어를 위한 슬라이딩 모드 제어기를 설계하였으며, 충분한 정확도를 가지고 원하는 경로를 추종함을 시뮬레이션을 통해 확인하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1092-1097
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• 2004

본 연구에서는 제방에 대한 부정류 침투해석시 사용되는 설계홍수파형을 결정하기 위하여 수위자료가 양호한 낙동강 수계 수위관측소 지점의 홍수자료를 수집하고 그 지검에 해당하는 계획홍수량 및 계획홍수위를 조사하였다. 설계홍수파형 결정 방법은 일본의 하천제방설계지침(2000)에서 제시하고 있는 방법을 참고하였으며, 그 적용성을 검토하기 위해서 낙동강의 9개 수위관측소 지점의 과거 홍수사상과 계획홍수량 산정시 사용되었던 설계수문곡선을 이용하여 합성홍수파형을 시험적으로 결정했다. 비교분석하여 침투해석을 위한 설계홍수파형을 결정 방법에 적용한다. 제방의 비정상 침투해석을 위한 설계홍수파형은 홍수지속시간과 감수부경사로 결정할 수 있는데, 홍수지속시간은 합성홍수파의 홍수지속시간이 계획홍수파의 지속시간보다 크게 산정되었는데, 이는 설계시 계획홍수파의 지속시간에 어느 정도 안전율을 적용해야 함을 의미한다. 감수부 경사는 분석된 과거 홍수사상중에는 계획홍수파의 감수부 경사보다 급하게 감소하는 것은 거의 없는 것으로 나타났는데, 감수부 경사는 계획홍수량 산정시 사용했던 수문곡선을 사용하는 것이 안전측 설계가 될 것으로 판단된다. 본 연구는 최근 누수에 의한 제방붕괴가 발생한 바 있는 낙동강 유역에 대해서 시험적으로 적용해 보았으며 그 방법론에 대한 타당성을 확인했다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.290-290
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• 2020

연구지역인 충청남도 홍성군 갈산면 신곡마을은 상시 가뭄지역으로서 농번기 물부족을 겪고 있으며, 물 확보의 수단으로서 지하수 인공함양이 고려되고 있다. 본 연구에서는 수치모델을 이용하여 수직정 방식의 지하수 인공함양시 주입 효과를 예비 평가하였다. 모델 지역은 가로 세로 2,450 × 2,350 m로서 10 × 10 m 간격의 격자로 구성하였으며, 현장에서 실시된 지하수위 조사 및 9공의 시추조사, 1개공의 양수시험 결과로부터 수리전도도, 지층분포 등을 구성하였다. 정류모델결과, 실측 및 예측 지하수위의 표준오차(Standard error of the estimate)는 0.53 m, 표준화제곱근오차(Normalized RMS)는 6.79%, 상관계수는 0.99%로 나타났다. 수직정을 통한 주입 효과를 평가하기 위하여, 주입량을 5 ㎥/d, 10 ㎥/d, 15 ㎥/d, 20㎥/d, 주입기간을 1일, 3일, 7일, 우물의 개수를 1개, 3개, 5개일 때 등 다양한 조건하에서의 부정류 모델을 수행하였다. 이로부터 주입의 효과인 지하수위 상승량 및 상승 범위 등을 토대로 물 부족 기간의 인공함양 시나리오(주입정의 위치, 갯수, 심도, 기간 등)를 예비적으로 제시하였으며, 추후 정밀 모델 및 실제 현장 주입 시험 등을 토대로 인공함양 설계를 추진할 예정이다.