• Korean journal of applied entomology
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• v.61 no.1
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• pp.229-238
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• 2022

Animal pollination is an important ecosystem service provided mostly by diverse insect groups such as bees and hover flies. Maintaining agricultural productivity and securing the nutritional balance are closely tied to human wellbeing. This study aimed to estimate the pollination dependent food production in Korean agricultural system. Crop production data were obtained from Korean statistical information service (KOSIS) data of 2015. By implementing pollination dependency, crop production and market price, contribution of insect pollination to crop production increase were estimated from total 71 crops including 12 cereals, 19 fruits, 18 field vegetables, 13 greenhouse vegetables and 9 specialty crops. Mean pollination dependency of all crops were 29.2% and it was higher on fruits, specialty crops and greenhouse vegetables as well, but low (7.5%) in cereal crops. Pollination dependent (PD) production was estimated as 17.8% of total agricultural crop production with the economic value of 6,850 (6,508-7,193) billion won. Especially, PD production of greenhouse vegetables accounted 49.2% followed by fruits of 42.9%. Even specialty crop also showed higher PD production (35.9%). It was obvious that pollination is the vital service for agricultural production as well as nutritional security in Korea. Further protection and enhancing the pollination service were discussed with integrated pollinator-pest management (IPPM) strategies.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.71-88
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• 2017

This paper compared self-validation and regulatory focus between consumers who felt happy vs. sad prior to decision and explored the effects of self-validation on regulatory focus and information distortion. The results of empirical analysis are as follows. First, consumers who felt happy beforehand revealed larger self-validation and stronger promotion focus than those who felt sad in advance. Second, compared to sadness, just-felt happiness was found to have partially positive impact on promotion focus by means of self-validation and exercise entirely positive impact on information distortion through mediation of self-validation. This study has made theoretic contributions by identifying the differences in the extent of self-validation and promotion focus between happiness and sadness as ambient emotion felt prior to the impending decision making as well as by investigating the effects of self-validation upon information distortion.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.232-236
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• 2012

본 연구에서는 산간계곡의 경보발령기준의 고도화를 위하여 Clark 유출모형에 의한 단위도를 산정하고 연구대상유역의 강우패턴을 분석하여 강우분포를 적용하였다. 강우량적용에 있어서 유효우량을 산정해야 하며 유효우량 산정시 유출곡선지수(CN)를 산정하여 적용해야 하는데 발령기준우량을 산정하는데 CN값 등의 관계매개변수에 민감하게 반응하는 것으로 분석되었다. 따라서 본 연구에서는 유역특성에 따른 경보발령기준우량과 CN값의 민감도를 분석하여 자동우량경보시설 경보발령기준우량을 결정하는 신뢰도를 향상시켜 소음에 대한 피해를 줄이고 인명피해를 예방하는데 도움을 주고자 한다. 또한 경보발령기준우량을 산정하기 위한 정량적인 방법을 제시하므로서 지역특성에 맞는 경보발령기준우량을 결정하는데 수문학적 매개변수를 제시하였다.

• Nuclear Engineering and Technology
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• v.7 no.2
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• pp.119-126
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• 1975

On the assumption that the spectral distribution of prompt fission neutrons released from supercritical accidents can be expressed by the generalized Cranberg form with two spectral parameters, which is then transformed into the single parameter form, a variation of the fission spectrum-averaged cross-sections for some threshold reactions with varying the spectral parameter has teen calculated using an electronic computer. It appears that the average cross-sections are very sensitive to the spectral deformation, especially those for the detectors having the threshold at high neutron energy are high compared to those for the detectors of which the threshold energies are comparatively low.

• Proceedings of the Korea Water Resources Association Conference
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• 1998.05a
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• pp.62-67
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• 1998

낙동강 수계 다목적댐 하류 지역에 대한 홍수조절 의사결정 능력을 향상시키고자 강우- 유출 모형으로 선정된 저류함수법으로 낙동강 수계 다목적댐 하류부의 유역유출 체계를 먼저 구 성하였다. 저류함수법에 의한 낙동강 수계 유역유출 체계도는 유역의 물리적 특성을 감안하여 소 유역은 41개, 하동망은 28개로 구성하였다. 또한 수문학적 하도추적 기법이 갖는 결점을 보완하기 위하여 낙동강 본류 및 상류에 댐이 있는 금호강, 황강, 남강, 밀양강 등 1 지류 이상의 홍수추적 을 수리학적 모형으로 보완하여 유역유출 체계를 이원화하여 두시스템을 상호·연계할 수 있도록 하였다. 상기 두 시스템을 '93년 8월 홍수(8, 7~8, 15)에 시험 적용하였다. 모형수행 경과 홍수기 댐운영시 저류함수모형에 의한 강우 유출 모형과 수리학적 하도추적 모형을 통합한 시스템을 동시에 적용하여 상호 보완 과정을 통해 운영한다면 다목적댐의 홍수조절 의사결정능력을 향상시킬 수 있다고 판단된다. 본 연구에서는 사용자가 해석적 방법으로 유역에서 수문자료를 이용하여 매개변수를 대화식으로 산정할 수 있는 GUI 시스템을 EXCEL97 환경에서 개발하여 신뢰성 있는 Rating curve가 확보 상·하류에 위치한 12개 수위관측소에서 89개 홍수사상을 대상으로 유역의 매개변수를 산정하였다. 또한, 미계측 유역의 저류함수 관련 매개변수 확장을 위하여 12개 소유역 에 대한 매개변수의 평균값과 유역면적, 하도연장 및 경사, 유역의 사면경사 등의 지형인자들을 조합하여 지역화분석을 수행하여 미계측 유역의 매개변수 산정식으로 제안하였다. 본 회귀식으로 산정된 소유역별 매개변수를 '93년 8월 홍수(8, 7~8, 15)에 적용한 결과, 낙동강 수계 본류상 주요 수위관측소별 홍수량예측이 이근천공식 보다 양호한 결과를 주어 본 연구에서 제시한 유역의 매 개변수 회귀식은 미계측 유역의 매개변수 산정시 충분한 활용성을 입증하였다. 저류함수법에 의 한 낙동강 수계 다목적댐 하류부의 유역유출 체계도는 수리학적 하도추적 모형과의 연계와 유역 의 물리적 특성을 감안하여 현재의 홍수통제소에서 운영하는 홍수예경보 시스템의 유출체계도와 우리공사 물관리 상황실의 저수관리 모형의 유출체계도를 기준으로 재구성하여 다목적댐 하류부의 소유역은 41개, 하도망은 28개로 결정하였다.

• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.958-969
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• 2011

The purpose of this study is to investigate relationships among scientific self-efficacy, achievement in science and cognitive self-regulation learning strategy. The subjects were composed of 158 elementary school students. Data of students' self-efficacy related to science and cognitive self-regulation learning strategy measured by questionnaire were analyzed. Science achievement scores were also collected. The results indicated that self-efficacy and cognitive self-regulation learning strategy predicted science scores. The findings showed that cognitive selfregulation learning strategy mediated the relation between self-efficacy and achievement in science. Memory learning strategy, considered a cognitive self-regulation learning strategy, did not mediate the relation between self-efficacy and science scores. The implications of science education to develop students' science achievement in the classroom and the suggestions for future researchers are discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.45-45
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• 2017

상이한 자연현상으로 발생된 자료들은 때때로 통계적으로 다른 특성을 가지는 경우가 있다. 이런 자료들은 다른 두 개 이상의 모집단에서 자료가 발생한 것으로 가정할 수 가 있다. 기존에 널리 사용되어온 분포형 모형의 경우 단일한 모집단으로부터 자료가 발생한다는 가정하에서 개발된 모형들로 위에서 언급한 자료들을 적절히 모의할 수 없다. 이런 상이한 모집단에서 발생된 자료를 모형화 하기 위해서 혼합분포모형(mixture distribution)이 개발되었다. 홍수나 가뭄 등과 같은 극치 사상의 경우 다양한 자연현상들로부터 발생하기에 혼합분포모형을 적용할 경우 보다 정확한 모의가 가능하다. 혼합분포모형은 두 개 이상의 비혼합분포모형들을 가중합하여 만들어진다. 혼합 분포모형의 형태로 인하여 기존의 분포형 모형의 매개변수 추정 모형으로 널리 사용되던 최우도법 (maximum likelihood method), 모멘트법(method of moment), 확률가중모멘트법 (probability weighted moment method) 등을 이용하여 혼합분포모형의 매개변수를 추정하는 것이 용이 하지 않다. 혼합분포모형의 매개변수 추정 방법으로는 Expectation-Maximization (EM) 알고리즘, Meta-Heuristic Maximum Likelihood (MHML) 방법, Markov Chain Monte Carlo (MCMC) 방법 등이 적용되고 있다. 현재까지 수자원 분야에서 사용되는 극치 자료를 혼합분포모형을 이용하여 모의할 때 매개변수 추정방법에 따른 특성에 대한 연구가 진행되지 않았다. 본 연구에서는 우리나라 연최대강우량 자료를 이용하여 혼합분포모형의 매개변수 추정방법 (EM 알고리즘, MHML 방법, MCMC 방법) 들의 특성들을 비교 분석하였다. 혼합분포모형으로는 Gumbel-Gumbel 혼합분포 모형을 적용하였다. 본 연구의 결과는 향후 혼합분포모형을 이용한 연구에 좋은 기초자료로 사용될 수 있을 것으로 판단된다.

• 한국노년학
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• v.31 no.1
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• pp.63-77
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• 2011

The purpose of this study was to examine the mechanism through which Senior Center User's services satisfaction impacts quality of life. We were particularly interested in the mediating effect of empowering Senior Center users. bootstraping method based on structural equation modeling were used. The partial and full mediation model were compared and X² difference test was conducted between the two models. The result showed that the mediating effect of empowering senior center user was statistically significant and accounted for the relationship between the senior center user's services satisfaction and quality of life. Empowering senior center user mediated fully the effect of senior center user's services satisfaction on quality of life. Practice and policy implications as well as further research topics were discussed to aid the search for highly effective interventions.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.301-319
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• 2018

The purpose of this research was to verify the mediating effects of countertransference management ability and each of its subscales, i.e. self-insight, self-integration, empathy ability, anxiety-management, and conceptualizing skills, in the effect of supervisor supports on psychological burnout of novice counselors. For this purpose, 202 novice counselors who have experience of supervision less than 3 years in counseling experience were studied. The results of the analysis were as follows : First, The supervisor supports were positively related to countertransference management skill and all its five subscales. Additionally, supervisor supports, countertransference management skill, and its five subscales were proved to negatively related to psychological burnout. second, The verification of mediating effects of countertransference management skill in the relationship between supervisor support and psychological burnout demonstrated the complete mediation. third, The self-integration, empathy ability, anxiety-management completely mediated the relationship between supervisor supports and psychological burnout. and The self-insight, conceptualizing skills partially mediated the relationship between supervisor supports and psychological burnout. These results confirmed that countertransference management skill is a strong influential factor between supervisor supports and psychological burnout. Implications for clinical practice and directions for future research were also discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.93-98
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• 2021

Due to the development of deep learning and AI, the scale of the model has grown, and it has been integrated into other fields to blend into our lives. However, in environments with limited resources such as embedded devices, it is exist difficult to apply the model and problems such as power shortages. To solve this, lightweight methods such as clouding or offloading technologies, reducing the number of parameters in the model, or optimising calculations are proposed. In this paper, quantization of learned models is applied to ONNX models used in various framework interchange formats, neural network structure and inference performance are compared with existing models, and various module methods for quantization are analyzed. Experiments show that the size of weight parameter is compressed and the inference time is more optimized than before compared to the original model.