Support vector regression (SVR) is devised to solve the regression problem by utilizing the excellent predictive power of Support Vector Machine. In particular, the є-insensitive loss function, which is a loss function often used in SVR, is a function thatdoes not generate penalties if the difference between the actual value and the estimated regression curve is within є. In most studies, the є-insensitive loss function is used symmetrically, and it is of interest to determine the value of є. In SVQR (Support Vector Quantile Regression), the asymmetry of the width of є and the slope of the penalty was controlled using the parameter p. However, the slope of the penalty is fixed according to the p value that determines the asymmetry of є. In this study, a new ε-insensitive loss function with p1 and p2 parameters was proposed. A new asymmetric SVR called GSVQR (Generalized Support Vector Quantile Regression) based on the new ε-insensitive loss function can control the asymmetry of the width of є and the slope of the penalty using the parameters p1 and p2 , respectively. Moreover, the figures show that the asymmetry of the width of є and the slope of the penalty is controlled. Finally, through an experiment on a function, the accuracy of the existing symmetric Soft Margin, asymmetric SVQR, and asymmetric GSVQR was examined, and the characteristics of each were shown through figures.

This study was conducted to secure basic information for corn processing by comparing the quality characteristics according to maize cultivars and kernel types (dent, intermediate, flint-like). As a result of analyzing 15 cultivars, a range of measurements were observed: 100-kernel weight, 22.89~35.63 g; moisture, 7.57~8.42%; crude protein, 8.46~11.45%; crude lipids, 3.26~4.83%; Hunter’s L-value, 83.70~86.79; a-value, 2.61~5.49; b-value, 22.01~28.15; and total carotenoids, 6.74~17.07 μg/g. Significance among the cultivars was shown in all quality characteristics (p<0.001), but the significance among the kernel types was found only in crude protein (p<0.005), crude fat (p<0.001), and Hunter’s L-value (p<0.05). The hardness of maize was decreased proportionally to the soaking time for all maize cultivars (p<0.001). In particular, with the same soaking time for different kernel types, the hardness difference was shown in the order of flint-like > dent ≒ intermediate. It was confirmed that the decrease in the hardness of flint-like kernel of close to that of hard-type starch was slowed compare dent and intermediate kernels. So it is expected the some characteristic of kernel types will contribute to the appropriate customized use of the developed cultivars.

본 연구는 한우의 성별에 따른 소분할 부위별 pH, 일반성분 및 육색을 조사하고자 한우 15두(암소 5두, 수소 5두 및 거세우 5두)를 도축한 다음 등급 판정을 한 후 39개 소분할 부위를 발골하여 육질 특성을 분석하였다. 소분할 부위별 pH는 5.52~6.25를 나타내었으며, 대체로 거세우에서 암소와 수소에 비해 높은 값을 나타내었다. 수분, 지방, 단백질 함량은 소분할 부위와 성별에 따른 유의적인 차이를 나타내었다(p<0.05). 수소와 거세우의 앞사태 부위에서 가장 높은 수분함량을 나타내었다(p<0.05). 지방함량은 거세우의 차돌박이 부위에서 가장 높았으며 다음으로 암소의 업진살, 암소, 수소 거세우의 본갈비 순이었다. 콜라겐함량은 암소와 거세우는 부위에 따른 유의적인 차이가 나타나지 않았다(p>0.05). 암소와 거세우의 차돌박이 부위는 높은 명도 값을 나타내었으며, 암소와 수소의 차돌박이 부위는 낮은 적색도 값을 나타내었다(p<0.05). 황색도는 암소, 수소 및 거세우의 차돌박이 부위에서 가장 높은 값을 나타내었다(p<0.05). 색도는 암소, 수소 및 거세우는 홍두깨살 부위에서 가장 높았으며, 암소와 거세우는 업진안살에서 가장 낮은 값을 나타내었다(p<0.05). 2등급 한우고기의 수분함량은 수소가 높고, 지방함량은 암소가 높으며, 거세우는 높은 pH 값과 낮은 명도 값을 나타내었다.

PURPOSES : Despite the availability of larger traffic data and more advanced data collection methods, the problem of missing data is yet to be solved. Imputing missing data to ensure data quality and reliability of statistics has always been challenging. Missing data are imputed via several existing methods, such as autoregressive integrated moving average, exponential smoothing, and interpolation. However, these methods are complicated and results in significant errors. METHODS : A deep-learning method was applied in this study to impute traffic volume data of the South Korean national highway. Traffic data were trained using the long short-term memory method, which is a suitable deep-learning method for time series analysis. RESULTS : Three cases were proposed to estimate the traffic volume. In the first case, which represented the general conditions, the mean absolute percentage error (MAPE) was 12.7%. The second estimation case, which was based on the opposite traffic flow, exhibited a MAPE of 17%~18%. The third case, which was estimated using adjacent-section data, had a MAPE of 18.2%. CONCLUSIONS : Deep learning may be a suitable alternative data imputation method based on the limited site and data. However, its application depends on the specific situation. Furthermore, deep-learning models can be improved using an ensemble method, batch-size, or through model-structure optimization.

This study aims to investigate tenth graders’ understanding of the nature of scientific inquiry (NOSI). A total of 100 public school students participated. A questionnaire of Views about Scientific Inquiry was used to assess their understanding of the NOSI, and data were collected using qualitative research methods such as open-ended questionnaires and, when necessary, semi-structured interviews. By employing a constant comparison method to analyze their responses, five students were consistently categorized as the group with informed views regarding all the eight aspects of the NOSI. The rest of the students showed different levels of understanding regarding each aspect. A large portion of the students represented a group with mixed views about four aspects and informed views about three aspects, whereas naive views about one aspect prevailed among them. The results showed that many students comparatively lacked understanding of the aspect related to the scientists’ process of constructing explanations and formulating theories. This study discusses the relationship between its results and the current science curriculum and presents implications for the overall enhancement of students’ understanding of the NOSI. Finally, it encourages the acquisition of scientific inquiry ability and makes suggestions to promote further studies.

This study evaluated methods of improving sustained learning participation by examining the structural relationship of school support consisting of professor support, friend-senior support and educational environment support, career decisionmaking self-efficacy, school satisfaction, and learning persistence depending on the characteristics of college students majoring in culinary art and food service. The study findings were as follows. First, the general characteristics of college students majoring in culinary art and food service were perceived significantly more by female students than by male students. Second, school support directly influenced the career decision-making self-efficacy and school satisfaction, but did not directly influence the learning persistence. Instead, school support influenced school satisfaction and learning persistence indirectly by the medium of career decision-making self-efficacy. Third, career decision-making self-efficacy directly influenced school satisfaction and learning persistence and indirectly influenced learning persistence by the medium of school satisfaction. Lastly, school satisfaction directly influenced the learning persistence, implying that school satisfaction is an important factor for the learning persistence of college students majoring in culinary art and food service. These results show that, because school members and environmental support cannot exclusively make learning persistence, diverse systems and programs must be developed and applied to improve the career decision-making self-efficacy and school satisfaction of college students majoring in culinary art and food service.

목적 : 근적외선 차단렌즈의 색 왜곡을 평가하기 위하여 객관적 및 주관적 측색 결과를 분석하였다. 방법 : Colorchecker Classic의 15번(Red), 16번(Yellow) 및 14번(Green) 색표를 가상신호등으로 설정하여 객관적 측색을 실시하였다. 객관적 평가를 위하여 디지털 카메라에 각 렌즈를 장착한 후 가상신호등을 촬영하였 다. 본래 색상과 렌즈 장착 후 측정된 색을 CIE 1976 L*a*b* 색도좌표로 표시하였고, 좌표간 거리 값인 ΔE* ab를 산출하여 색 왜곡도를 비교 분석하였다. 32명을 대상으로 주관적 평가를 실시하였다. 교통신호등의 관찰된 색을 한국 색채 표준 디지털팔레트에서 선택하도록 하여 본래 색상과 비교하였다. 결과 : 객관적 평가에서, 황색 및 녹색 가상신호등의 색왜곡은 근적외선 차단렌즈 착용 시 가장 작은 것으로 나 타났다. 근적외선 차단렌즈에 의한 적색 가상신호등의 색왜곡은 녹색렌즈보다 크지만 갈색, 회색 및 청색렌즈에 비교하여 더 적은 것으로 나타났다. 주관적 평가에서, 적색 신호등을 주시했을 때 근적외선 차단렌즈에 의한 색왜곡은 갈색렌즈와 비교하여 더 많았으며, 청색 및 녹색렌즈 착용과 유사하였고, 회색렌즈 착용보다 적은 것으로 나타났다. 결론 : 근적외선 차단렌즈의 색왜곡은 다른 렌즈와 비교하여 객관적 평가에서 가장 낮았으나, 주관적 평가에서는 유의한 차이가 없었다. 근적외선 차단렌즈의 주관적 색 재현성을 정량적으로 조사할 수 있는 추가적인 연구가 필요할 것으로 생각된다.

The purpose of this study is to investigate the influence of social factors on the use of honorific language by discourse completion test. Participants complete a short discourse by filling in their responses in conversations that may occur in families, schools, and workplaces where the social status and solidarity of the listener is predetermined. Honorific styles of sentence endings of their responses are analyzed by the generalized linear mixed model. The results show that social status and solidarity are statistically significant factors in the use of honorific styles, but their effects are dependent on the discourse situation. The ratio of using honorific styles gradually increases as the formality of situation increases (i.e., family < school < workplace). Interestingly, when the solidarity is low at the workplace, the ratio of using honorific styles is consistently high regardless of the social status of the listener. These results show that the use of Korean honorific styles is pragmatically changing according to the discourse situation.

목적 : 이 설문 연구는 의료민영화와 안경원의 법인화 문제에 대한 일반 소비자의 인식도를 조사하고 그 결과를 안경사 집단에 대한 선행연구와 비교·분석하는 것을 목적으로 하였다. 방법 : 2018년 5월부터 6월까지 서울·경기 지역에서 150명의 일반 소비자를 대상으로 의료민영화와 안경원의 법인화 문제에 대하여 대면설문조사를 실시하고 응답 결과를 통계분석 하였다. 결과 : 일반 소비자 집단은 의료민영화 문제에 대하여 일관되게 부정적인 인식을 나타내었으나, 안경원의 법인화 문제에 대해서는 부정적인 인식이 많지 않고 중립적인 응답의 비율이 매우 높았다. 안경사 집단에 대한 유사한 설문 조사 결과와 비교했을 때, 의료민영화에 대한 인식은 두 집단이 비슷했으나 안경원 법인화에 대한 인식은 큰 차이를 보였다. 결론 : 반 소비자 집단의 안경원 법인화 문제에 대한 부정적인 인식도가 높지 않으므로, 안경사 집단은 일반 소비자 집단을 대상으로 안경원 법인화 문제에 대한 적극적인 홍보를 강화할 필요가 있다.