• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.45-56
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• 2015

In this paper, we present a method that can detect context-sensitive word errors and generate correction candidates. Spelling error detection is one of the most widespread research topics, however, the approach proposed in this paper is adjusted for an automated English scoring system. A common strategy in context-sensitive word error detection is using a pre-defined confusion set to generate correction candidates. We automatically generate a confusion set in order to consider the characteristics of sentences written by second-language learners. We define a word error that cannot be detected by a conventional grammar checker because of part-of-speech ambiguity, and propose how to detect the error and generate correction candidates for this kind of error. An experiment is performed on the English writings composed by junior-high school students whose mother tongue is Korean. The f1 value of the proposed method is 70.48%, which shows that our method is promising comparing to the current-state-of-the art.

• Journal of KIISE:Software and Applications
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• v.34 no.11
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• pp.1001-1010
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• 2007

HMM tends to output high probability for not only the proper class data but confusable class data, since the modeling power increases as the number of parameters increases. Thus it may not be helpful for discrimination to simply increase the number of parameters of HMM. We proposed two methods in this paper. One is a CMC(Confusion Likelihood Model Selection Criterion) using confusion class data probability, the other is a new recognition method, RCM(Recognition Using Confusion Models). In the proposed recognition method, confusion models are constructed using confusable class data, then confusion models are used to depress misrecognition by confusion likelihood is subtracted from the corresponding standard model probability. We found that CMC showed better results using fewer number of parameters compared with ML, ALC2, and BIC. RCM recorded 93.08% recognition rate, which is 1.5% higher result by reducing 17.4% of errors than using standard model only.

• The Mathematical Education
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• v.61 no.1
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• pp.157-178
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• 2022

Mathematics teachers' content knowledge is an important asset for effective teaching. To enhance this asset, teacher's knowledge is required to be diagnosed and developed. In this study, we employed problem-posing and problem-solving tasks to diagnose preservice teachers' understanding of fraction multiplication. We recruited 41 elementary preservice teachers who were taking elementary mathematics methods courses in Korea and the United States and gave the tasks in their final exam. The collected data was analyzed in terms of interpreting, understanding, model, and representing of fraction multiplication. The results of the study show that preservice teachers tended to interpret (fraction)×(fraction) more correctly than (whole number)×(fraction). Especially, all US preservice teachers reversed the meanings of the fraction multiplier as well as the whole number multiplicand. In addition, preservice teachers frequently used 'part of part' for posing problems and solving posed problems for (fraction)×(fraction) problems. While preservice teachers preferred to a area model to solve (fraction)×(fraction) problems, many Korean preservice teachers selected a length model for (whole number)×(fraction). Lastly, preservice teachers showed their ability to make a conceptual connection between their models and the process of fraction multiplication. This study provided specific implications for preservice teacher education in relation to the meaning of fraction multiplication, visual representations, and the purposes of using representations.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1235-1243
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• 2023

This study proposes the detection algorithm for the cold water mass (CWM) along the eastern coast of the Korean Peninsula using sea surface temperature (SST) data provided by the Korea Institute of Ocean Science and Technology (KIOST). Considering the occurrence and distribution of the CWM, the eastern coast of the Korean Peninsula is classified into 3 regions("Goseong-Uljin", "Samcheok-Guryongpo", "Pohang-Gijang"), and the K-means clustering is first applied to SST field of each region. Three groups, K-means clusters are used to determine CWM through applying a double threshold filter predetermined using the standard deviation and the difference of average SST for the 3 groups. The estimated sea area is judged by the CWM if the standard deviation in the sea area is 0.6℃ or higher and the average water temperature difference is 2℃ or higher. As a result of the CWM detection in 2022, the number of CWM occurrences in "Pohang-Gijang" was the most frequent on 77 days and performance indicators of the confusion matrix were calculated for quantitative evaluation. The accuracy of the three regions was 0.83 or higher, and the F1 score recorded a maximum of 0.95 in "Pohang-Gijang". The detection algorithm proposed in this study has been applied to the KIOST SST system providing a CWM map by email.

• Korean Journal of Veterinary Research
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• v.2 no.1
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• pp.1-13
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• 1962

10두(頭)의 홀스타인 자우(仔牛)에 glucagon, insulin 등 홀몬과 reserpine 및 nicotine을 투여(投與)하여 그들이 췌장(膵臟)의 Langerhans 도서(島嶼)에 미치는 세포학적(細胞學的) 영향을 전자현미경(電子顯微鏡)에 의해서 연구하는 도중 거대(巨大)한 크기의 도서(島嶼)를 관찰하였다. 이 거대도서(巨大島嶼)들은 상기(上記)한 약품투여에 영향을 받지 않으며 거의 beta 세포(細胞)들로만 되어 있으므로 보통 크기의 도서(島嶼)들과의 혼동을 피하기 위하여서는 그 분포상태(分布狀態)와 세포학적(細胞學的) 및 조직학적(組織學的) 특징(特徵)을 구명(究明)하는 것이 필요하게 되어 본연구(本硏究)에 착수하였든 것이며 아울러 췌장(膵臟) 각부분(各部分)에 함유되는 Langerhans 도서수(島嶼數)의 평균치(平均値)를 산출(算出)하였다. Langerhans 도서(島嶼)는 편의상 그 크기에 따라서 직경(直徑) $200{\mu}$이하(以下)의 것을 "Regular islets" $200{\sim}500{\mu}$까지의 것을 "Intermediate islets" 그리고 $500{\mu}$ 이상(以上)의 것을 "Giant islets"라 이름지어서 구별하였다. 지금까지 알려진 최대(最大)의 도서(島嶼)는 개에서 관찰된 $333{\mu}$의 도서(島嶼)이었는데 필자는 본연구(本硏究)에서 직경 $1.395{\mu}$에 달하는 것과 기리 $2,700{\mu}$에 달하는 거대(巨大)한 도서(島嶼)들을 관찰하였다. 본연구(本硏究)의 결과(結果)를 요약(要約)하면 다음과 같다. 1. 자우췌장(仔牛膵腸) 50평방(平方)mm 면적(面積)내에 함유되는 Langerhans 도서(島嶼)의 수(數)는 평균(平均) 191개로서 다른 연구자에 의해서 보고된 수치(數値)보다 훨씬 많은 것이었다. 2. 거대도서(巨大島嶼)의 크기는 직경(直徑) $200{\sim}1,400{\mu}$이며 그 분포상태(分布狀態)는 보통 크기의 도서(島嶼)와 마찬가지로 췌장(膵臟)의 십이지장부(十二指腸部) 중간부(中間部) 및 췌장부(膵臟部)의 순서(順序)로 많이 함유되고 있다. 즉 십이지장부(十二指腸部)에는 2% 중간부(中間部) 1.8% 췌장부(膵臟部)에는 0.8%의 거대도서(巨大島嶼)가 함유되어 있으며 직경(直徑) $200{\mu}$이상(以上)의 도서평균치(島嶼平均値)는 1.53%이었다. 3. 중간대(中間大)의 도서(島嶼)와 거대도서(巨大島嶼)들은 거의 beta 세포(細胞)들로서만 되어있음으로 "중간대(中間大) beta 도서(島嶼)" 및 "거대(巨大) beta 도서(島嶼)"라고 각 각 명명하였으며 alpha세포(細胞)들이 있는 경우에는 작은 세포집합체(細胞集合體)를 이루고 도서전반(島嶼全般)에 걸쳐서 산재(散在)한다. 4. 췌장(膵臟)에 함유되고 있는 거대(巨大) beta 도서(島嶼)의 수(數)는 적지마는 보통 크기의 도서(島嶼)와 비교할때 그 용량(容量)은 막대한 것이며 따라서 insulin 분비량(分泌量)도 많을것이므로 우췌장(牛膵臟)의 insulin 분비(分泌)를 연구할 때에는 반듯이 이 사실(事實)을 고려해야 할 것이다. 5. 불규칙한 색상(索狀)의 실질세포(實質細胞)들로된 거대(巨大) beta 도서(島嶼)에는 간질결합조직(間質結合組織)이 풍부하며 그 간질(間質) 속에는 비교적 큰 혈관(血管)과 개재관양(介在管樣) 구조물(構造物)이 들어있다. 거대(巨大) beta 도서(島嶼)는 출생(出生)후 도서내외(島嶼內外)에 산재(散在)하고 있는 외분비도관세포(外分泌導管細胞)들의 증식(增殖)에 의해서 발생(發生)하며 그 크기도 증대(增大)하는 것으로 믿어진다. 6. 거대(巨大) beta 도서(島嶼)의 beta 세포(細胞)들은 현저한 Golgi 장치(裝置)와 비대(肥大)한 핵소체(核小體) 및 포상핵(胞狀核)등의 세포학적(細胞學的) 특징을 가지며 이것은 거대(巨大) beta 도서(島嶼)가 보통 크기의 Langerhans 도서(島嶼)에 비하여 더 활발하게 insulin을 분비(分泌)한다는 것을 시사(示唆)하는 것이다.