• 수산해양교육연구
• /
• 제25권4호
• /
• pp.928-936
• /
• 2013

This thesis is the fundamental study on the adaptation of escape device for reducing small fishes in set-net. The escape devices for experiments were made the mesh-type devices with three different mesh sizes (60.6, 75.8 and 120.0mm). The experiments of size selectivity on escape devices were conducted by using two kinds of species as black rockfish (Sebastes schlegeli) and sea perch (Lateolabrax maculatusi) in the experimental tank. The size selectivity curve was fitted by using a logistic function and the parameters of selectivity curve were estimated by a maximum likelihood method. In the results; 50% selection ranges for the mesh-type escape devices with three different mesh sizes were; a black rockfish was 18.99 in mesh size 60.6mm and 21.96 in mesh size 75.8mm (120mm could not estimate). A sea perch was 22.02 in mesh 60.6mm and 24.46 in mesh size 75.8mm (120mm could not estimate). The 50% selection range of a black rockfish was wilder than a sea perch about 1.1~.2 time. Therefore, the small fishes are able to reduce by using the mesh type escape device. However, the optimum mesh size should be decided to consider the size of target species and economics of catches.

• 수산해양기술연구
• /
• 제49권3호
• /
• pp.188-199
• /
• 2013

This thesis is the fundamental study on the adaptation of escape device for reducing small size of fish in set-net. The escape devices for experiments were made the grid-type devices with three different slit sizes (15, 20 and 25mm). The experiments of size selectivity on escape devices were conducted by using two kinds of species as black rockfish (Sebastes schlegeli) and sea perch (Lateolabrax maculatusi) in the experimental tank. The size selectivity curve was fitted by using a logistic function and the parameters of selectivity curve were estimated by a maximum likelihood method. In the results; 50% selection ranges for the grid-type escape devices with three different slit sizes were; a black rockfish was 13.30, 19.22 and 22.06cm and a sea perch was 17.64, 20.91 and 22.78cm, respectively. The 50% selection range of a black rockfish was wilder than a sea perch about 1.1~1.3 time. Therefore, the small size of fish are able to reduce by using the grid type escape device. However, the optimum slit size of grid should be decided to consider the size of target species and economics of catches.

• Clinical and Experimental Pediatrics
• /
• 제62권8호
• /
• pp.307-311
• /
• 2019

Purpose: Necrotizing enterocolitis (NEC) is one of the most serious complications of prematurity. Many risk factors can contribute to the development of NEC. The epidermal growth factor (EGF) plays a major role in intestinal barrier function, increases intestinal enzyme activity, and improves nutrient transport. The aim of this study was to assess the role of epidermal growth factor in the development of NEC in preterm neonates. Methods: In this study, 130 preterm neonates were included and divided into 3 groups, as follows: group 1, 40 preterm neonates with NEC; group 2, 50 preterm neonates with sepsis; and group 3, 40 healthy preterm neonates as controls. The NEC group was then subdivided into medical and surgical NEC subgroups. The serum EGF level was measured using enzyme-linked immunosorbent assay. Results: Serum EGF levels (pg/dL) were significantly lower in the NEC group (median [interquartile range, IQR], 9.6 [2-14]) than in the sepsis (10.1 [8-14]) and control groups (11.2 [8-14], P<0.001), with no significant difference between the sepsis and control groups, and were positively correlated with gestational age (r=0.7, P<0.001). A binary logistic regression test revealed that low EGF levels and gestational ages could significantly predict the development of NEC. The receiver-operating characteristic curve for EGF showed an optimal cutoff value of 8 pg/mL, with 73.3% sensitivity, 98% specificity, and an area under the curve of 0.92. Conclusion: The patients with NEC in this study had significantly lower serum EGF levels (P<0.001), which indicated that EGF could be a reliable marker of NEC in preterm neonates.

• 융합정보논문지
• /
• 제9권6호
• /
• pp.1-6
• /
• 2019

본 연구에서는 다항식 회귀분석(Polynomial regression analysis) 방법을 이용하여 비선형 특성을 갖는 전자저울의 질량 추정 모델 개발이 이루어 졌다. 전자저울에 사용되는 로드셀의 출력 단자 전압을 기준 질량 추를 사용하여 직접 측정하였고 이 데이터를 이용하여 MS Office 엑셀의 행렬식 계산과 데이터 추세선 분석 기능을 이용하여 다항식 회귀모델을 구하였다. 5kg까지 측정 가능한 로드셀 전자저울을 사용하여 100g단위로 질량을 측정하였고 다항식 회귀분석(Multiple regression analysis) 모델을 구하였으며, 단순(1차), 2차, 3차 다항식 회귀분석에 대한 오차를 구하였다. 각 모델에 대한 회귀 방정식의 적합도 분석을 위해 결정계수(Coefficient of determination)를 제시하여 추정 질량과 측정 데이터와의 상관관계를 나타내었다. 본 연구에서 제안하는 3차 다항식 모델을 이용하여 추정 값의 표준편차가 10g, 결정계수 1.0으로 상당히 정확한 모델을 얻었다. 본 연구에 사용된 선형 회귀 분석 이론을 바탕으로 최근 인공지능 분야에서 많이 사용되고 있는 로지스틱 회귀 분석(Logistic regression analysis)을 활용하여 기상예측, 신약개발, 경제지표 분석 등의 분야에 대한 다양한 연구를 수행할 수 있을 것으로 생각된다.

• 대한물리의학회지
• /
• 제8권4호
• /
• pp.549-558
• /
• 2013

PURPOSE: This study is designed as a retrospective study, and identified the clinical usability of Sit to Stand (STS) test for predicting of fall incidence in stroke patients who experienced a fall within 1 year. METHODS: Between July 2011 and November 2012, 69 inpatients with stroke in K rehabilitation hospital were participated under voluntarily signing the informed consent form. STS test and 10m walk test (10MWT) were used to assess the muscle strength of lower-extremity and walking velocity, respectively. Also, we tested dynamic balance and motor function of lower-extremity in affected-side using with the Berg balance scale (BBS) and the Fugl-Meyer assessment of lower extremity (FM-L/E). METHODS: There were significant differences between subjects with fall-experienced group and without subjects without fall-experienced group in STS test, 10MWT, BBS scores and FM-L/E. STS test significantly showed a negative correlation between 10MWT (r=-.657), BBS (r=-.512), and FM-L/E (r=-.563). And, 10MWT have a influence on the performance of STS test (the capacity of explanation = 20%). The cut-off value of STS performance predicting falls experience is ${\geq}14.36$ seconds (sensitivity=76%; specificity=79%, area under curve=.785). According to logistic regression analysis of falls experience, subjects ${\geq}14.36$ s showed that 4.164 times (odd ratio) increased in falls than subjects < 14.36 s in STS test. CONCLUSION: This study demonstrated that STS test may be a useful tool predicting and measuring falls in patients with stroke. Further study will be needed to elucidate the kinematic analysis of STS test and the relationship between physical activity level and falls in stroke patients.

• 대한교통학회지
• /
• 제29권3호
• /
• pp.61-72
• /
• 2011

VMS를 통한 실시간 교통정보 제공에 따른 편익에는 경로 우회에 따른 통행시간 절감과 이에 따른 운행비용 및 환경오염 절감 등의 파급효과 뿐 아니라, 전방교통상황 인지에 따른 심리적 안정 등의 정성적 편익도 함께 존재하며, 도로환경을 첨단화하는 ITS사업의 특성상 정성적 편익의 비중은 상대적으로 높다. 이러한 ITS사업의 특성을 기존의 투자평가지침에 반영하기 위해서는 도로이용자가 인식하는 VMS 교통정보의 기본가치와 같은 정성적 편익에 대한 많은 연구와 이를 인정하는 사회적 공감대가 필요하다. 본 연구에서는 이중양분 선택형 설문형태의 조건부가치추정법(Contingent valuation Method)을 통해 VMS 교통정보에 대한 도로 이용자의 지불의사액(Willingness-to-pay)을 파악하고, 생존함수를 활용하여 WTP 함수를 추정하는 방법론을 정립하고, 국도에 설치된 도로전광표지판(VMS)을 통해 제공되는 실시간 교통정보에 내재된 기본가치를 추정하여 제시하였다. 또한 교통정보의 기본가치를 ITS사업의 편익으로 고려해야 하는 정책적 필요성과 활용방안에 대해 검토하였다.

• 기술혁신연구
• /
• 제11권1호
• /
• pp.147-176
• /
• 2003

This Paper Presents a new measurement technique to derive the level of BSRC (Basic Science and Research Capacity) index by use of the factor analysis which is extended with the assumption of the standard normal probability distribution of the selected explanatory variables. The new measurement method is used to forecast the gap of Korea's BSRC level compared with those of major OECD countries in terms of time lag and to make their international comparison during the time period of 1981∼1999, based on the assumption that the BSRC progress function of each country takes the form of the logistic curve. The US BSRC index is estimated to be 0.9878 in 1981, 0.9996 in 1990 and 0.99991 in 1999, taking the 1st place. The US BSRC level has been consistently the top among the 16 selected variables, followed by Japan, Germany, France and the United Kingdom, in order. Korea's BSRC is estimated to be 0.2293 in 1981, taking the lowest place among the 16 OECD countries. However, Korea's BSRC indices are estimated to have been increased to 0.3216 (in 1990) and 0.44652 (in 1999) respectively, taking 10th place. Meanwhile, Korea's BSRC level in 1999 (0.44652) is estimated to reach those of the US and Japan in 2233 and 2101, respectively. This means that Korea falls 234 years behind USA and 102 years behind Japan, respectively. Korea is also estimated to lag 34 years behind Germany, 16 years behind France and the UK, 15 years behind Sweden, 11 years behind Canada, 7 years behind Finland, and 5 years behind the Netherlands. For the period of 1981∼1999, the BSRC development speed of the US is estimated to be 0.29700. Its rank is the top among the selected OECD countries, followed by Japan (0.12800), Korea (0.04443), and Germany (0.04029). the US BSRC development speed (0.2970) is estimated to be 2.3 times higher than that of Japan (0.1280), and 6.7 times higher than that of Korea. German BSRC development speed (0.04029) is estimated to be fastest in Europe, but it is 7.4 times slower than that of the US. The estimated BSRC development speeds of Belgium, Finland, Italy, Denmark and the UK stand between 0.01 and 0.02, which are very slow. Particularly, the BSRC development speed of Spain is estimated to be minus 0.0065, staying at the almost same level of BSRC over time (1981 ∼ 1999). Since Korea shows BSRC development speed much slower than those of the US and Japan but relative]y faster than those of other countries, the gaps in BSRC level between Korea and the other countries may get considerably narrower or even Korea will surpass possibly several countries in BSRC level, as time goes by. Korea's BSRC level had taken 10th place till 1993. However, it is estimated to be 6th place in 2010 by catching up the UK, Sweden, Finland and Holland, and 4th place in 2020 by catching up France and Canada. The empirical results are consistent with OECD (2001a)'s computation that Korea had the highest R&D expenditures growth during 1991∼1999 among all OECD countries ; and the value-added of ICT industries in total business sectors value added is 12% in Korea, but only 8% in Japan. And OECD (2001b) observed that Korea, together with the US, Sweden, and Finland, are already the four most knowledge-based countries. Hence, the rank of the knowledge-based country was measured by investment in knowledge which is defined as public and private spending on higher education, expenditures on R&D and investment in software.

• 수산해양기술연구
• /
• 제29권4호
• /
• pp.247-259
• /
• 1993

The fishing experiment was carried out by the training ship Saebada in order to analyse the mesh selectivity for trawl cod-end, in the Southern Korea Sea and the East China Sea from June. 1991 through August, 1992. The trawl cod-end used in this experiment has the trouser type of cod-end with cover net. and the mesh selectivity was examined for the five kinds of the opening of mesh in its cod-end part. A total of 163 hauls, of which having mesh size 51.2mm ; A 89, 70.2mm ; B 54, 77.6mm ; C 55, 88.0mm ; D 52 and 111.3mm ; E 20 were used respectively. Selection curves and selection parameters were calculated by using a logistic function, S=1/(1+exp super(-(aL+b)) ). The mesh election master curves were estimated by S=1/(1+exp super(-[a(L/M)+$\beta$]) ). and the optimum mesh size were calculated with (L/M) sub(50) of master curve. In these cases 'a' and '$\alpha$' are slope, 'b' and '$\beta$' are intercept. 'L' is body length of the target species of fishes, 'M' is the mesh size, and 'S' denotes mesh selectivity. In this report, the four species of compressed form fishes were taken analized according to fish shape, and 'S' denotes mesh selectivity. In this report, the four species of compressed form fishes were taken analized according to fish shape, and the results obtained are summarized as follows: 1. Red seabream Pagrus major(Temminct et Schlegel) and yellow porgy Dentex tumifrons(Temminct et Schlegel) ; Selection rate in each mesh size of A, B, C, D and E were 99.7%, 97.5%, 91.4%, 76.7% and 57.8% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 2.65 and -28.62, 4.40 and -77.73, 2.31 and -46.99, and their selection factors were 1.39, 2.10, 1.83 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.05 and -5.65 respectively, and (L/M) sub(50) was 1.85. The optimum mesh size of Red seabream was 141mm. 2. Filefish Thamnaconus modestus (Gunther) ; Selection rate in each mesh size of A, B, C, D and E were 99.6%, 98.3%, 91.2%, 80.0% and 48.6% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 5.82 and -55.10, 2.92 and -36.90, 3.91 and -63.09, and their selection factors were 1.35, 1.44, 1.45 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.02 and -4.32 respectively, and (L/M) sub(50) was 1.43. The optimum mesh size was 129mm. 3. Target dory Zeus faber Valenciennes ; Selection rate in each mesh size of A, B, C, D and E were 99.7%, 100%, 83.2%, 91.6% and 65.0% respectively. Selection parameters 'a' and 'b' of mesh sizes C, D and E were 3.85 and -32.46, 4.19 and -57.38, 2.45 and -40.03, and their selection factors were 1.09, 1.56, 1.47 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 2.64 and -3.53 respectively, and (L/M) sub(50) was 1.34. The optimum mesh size was 127mm. 4. Butterfish Psenopsis anomala (Temminct et Schlegel) ; Selection rate in each mesh size of A, B, C, D and E were 99.2%, 34.1%, 46.5%, 14.3% and 2.4% respectively. Selection parameters 'a' and 'b' of mesh sizes B, C and D were 5.35 and -71.70, 5.07 and -69.25, 3.31 and -62.06 and their selection factors were 1.91, 1.75, 2.13 respectively. Selection parameters of master curve '$\alpha$' and '$\beta$' were 3.16 and -6.24 respectively, and (L/M) sub(50) was 1.98. The optimum mesh size was 71mm.

• 수산해양기술연구
• /
• 제40권1호
• /
• pp.86-94
• /
• 2004

새우조망 끝자루의 망목선택성을 조사하기 위한 시험조업은 여수 거문도 주변해역에서 2002년 10월 중에 끝자루의 망목을 28, 38, 51 그리고 61mm로 구성하여 덮그물 방식으로 각각 5 회씩, 총 20회 거문도 주변해역에서 실시하였다. 주 어획대상 어종인 수염대롱새우의 끝자루 망목별 어획률과 망목선택성 곡선 S=1/(1+exp$^{-{\alpha}CL+{\beta}})$)의 기울기 (a)와 절편 (b) 및 선택계수 그리고 표본망목선택성곡선 S=1/(1+exp$(^{-{\alpha}(CL/M)+{\beta}}))$)의 기울기(a)와 절편 (b) 및 적정망목을 추정한 결과는 다음과 같다. 1. 시험조업 결과 어획미수는 끝자루 11,504마리, 덮그물 12,879마리로 총 24,374마리, 313.1kg이 어획되었고 종별구성은 새우류, 어류, 게류, 연체동물 순이었으며, 부수 어획물은 어류의 자치어가 대부분을 차지하였다. 2. 끝자루 망목 28.0, 38.0, 51.0, 61.0 mm에 어획되는 대롱수염새우의 어획률은 각각 0.72, 0.63, 0.46, 0.29로 나타났다. 3. 끝자루 망목 28.0, 38.0, 51.0, 61.0 mm에 대한 선택성곡선의 a와 b 값은 0.53 -12.65, 0.35 -9.40, 0.28 -8.97과 0.24 -8.27이었고, 선택계수는 0.85, 0.71, 0.62, 0.55이었다. 4. 표본망목선택성곡선의 기울기(${\alpha}$)와 절편(${\beta}$) 값 은 8.44, -5.49이었고, 대롱수염새우의 최소성숙갑각장 20.6 mm에 대한 적정망목은 30.7 mm, 상품(上品) 최소갑각장 25 mm에 대한 적장망목은 38.5 mm로 나타났다.

• 한국토양비료학회지
• /
• 제39권6호
• /
• pp.329-333
• /
• 2006

유기물 함량이 많은 난지권 제주도의 화산회 토양에서의 수분함량과 토양수분 장력과의 관계를 파악하는 것이 밭작물이 주로 재배되는 제주도 특성상 계획적인 관개관리를 통해 효율적인 물 관리를 가능하게 할 것이므로 이를 위해 본 연구는 토양수분 장력을 실측하지 않고 추정할 수 있도록 유기물 함량이 다른 토색별 토양수분특성곡선을 작성하고자 하였다. 유기물 함량에 차이가 많이 나는 세 가지 색의 토양을 이용해 토양수분 장력별로 토양수분 함량을 측정한 후 scaling 기법을 이용해 토양수분 특성곡선 추정모형을 작성했다. 암갈색, 농암갈색, 흑색으로 구분이 가능한 화산회 토양을 토색별로 살펴보면, 토성이 동일하더라도 유기물함량이 높은 화산회 토양일수록 토색이 진한 경향을 보여 토색에 미치는 유기물 함량의 영향을 판단할 수 있었다. 토색별 토양수분 특성곡선은 흑색토, 농암갈색토, 암갈색토의 순으로 수분 보유능의 차이를 보였으며, 이들도 scaling 기법을 통해 토양수분장력을 dimensionless water content의 멱함수 형태로 단일화 시킬 수 있었다. 또한, scale 변환 수분함량을 이용해 주로 토양수분 특성을 해석하는데 많이 이용되고 있는 van Genuchten 모형에 적용할 수 있는 매개변수들을 토양시료 전체에 대해, 그리고 각각의 토색별로 작성하였다. 이들 함수는 로지스틱(logistic) 형태를 보였다. 결과적으로 토양수분 곡선특성 추정모형은 수리특성의 기본이 되어 농경지에서의 물의 이동특성을 해석하는 밑바탕이 될 것이며, van Genuchten 변수들은 유기물 함량이 높은 지역에서 SWAT 등의 다양한 수문모형들에 적용이 가능할 것이다.