국가 전체의 토양유실량을 산정하기 위하여 범용토양유실예측공식 (USLE)과 개정 범용토양유실예측공식(RUSLE)의 각 인자를 재평가하였다. 정 외 (198,B)과 박 외 (2000)의 연구결과를 거리역산가중치법으로 계산하여 전국 150개 시군의 강우유출인자 (R)를 평가하였고, 한국토양총설 (1992), Taxonomical Classification of Korean Soils (2000), 농업환경변동조사사업 보고서 (2003)에 수록되어 있는 정보를 이용하여 390개 토양통, 1321개 토양상에 대한 토양침식성인자 (K)를 산출하였다. 지형인자 (LS)는 1 25,000 토양도를 이용하여 경사도, 경사장, 토지이용에 따른 대표 값을 산정하였으며 식생피복인자 (C)와 침식조절인자 (P)는 지난 27년간 농업과학기술원 토양보전분야의 연구결과를 종합하여 정리하였다 강우유출인자는 시군에 따라 2322-6408 MJ mm
가공식품(加工食品)의 가장 중요(重要)한 색소형성(色素形成)으로 알려 진 비효소적(非酵素的) 갈변반응(褐變反應)인 amino-carbonyl반응(反應)에 대(對)한 온도(溫度)의 영향을 규명(究明)하기 위하여 0.05M glucose-arginine을 model system으로 선정하여 처리온도(處理溫度) 및 시간(時間)에 따라 분해(分解)되는 glucose 및 arginine의 함량변화(含量變化)와 생성(生成)되는 melanoidin 색소(色素)의 강도(强度)로써 반응속도상수(反應速度常數)와 반감기(半減期)를 구(求)하였으며, 또 Arrhenius 식(式)에 따라 반응속도상수(反應速度常數)의 온도의존성(溫度依存性)을 조사(調査)하였다. 1. 처리온도(處理溫度) 및 시간별(時間別)로 분해(分解)되는 glucose 및 arginine의 정량(定量)은 carbohydrate analysis 및
연구배경: Heliox는 기도 저항이 증가된 환자에서 분시환기량의 증가와 호흡일의 감소로 인해
강우에 의한 경사지 토양으로부터의 농약 유출양상을 파악하고 그에 대한 환경적 요인 및 영농방법등의 영향 정도를 평가하기 위하여 토양흡착실험과 인공강우유출실험 및 콩 재배 lysimeter 포장에서 유출 실험을 수행하였다. 흡착실험을 수행하여 농약의 이동 가능성과 이동형태를 파악하고, 인공강우시설을 이용한 유출실험으로 강우양상 및 경사도의 영향 정도를 살펴보고, 콩 재배 경사지 포장에 설치된 lysimeter 실험을 수행하여 작물 재배에 따른 농약의 유실 양상 차이를 파악하여 농약의 표면유출에 의한 유실 수준을 평가하고자 하였다. 두 농약의 Freundlich 흡착계수 K는 diazinon은
1:25,000 수치정밀토양도와 (R)USLE를 이용하여 우리나라 전역의 토양침식 위험성을 평가하고 토양침식등급을 이용하여 등급에 따른 토양보전방법을 제시하고자 하였다. 우리나라에서 강우인자 값이 높은 지역은 경기의 김포, 강화, 전남 고흥, 여수, 장흥과 경남 고성, 사천, 진해, 통영 등으로 주로 전남, 경남의 남부 해안과 경기지역의 서부 해안에 밀집되어 있었으며 반면, 경북 영덕, 영천, 구미, 포항, 군위 등의 강우인자 값이 작았다. 토양침식성 인자는 경기, 충남, 전북, 전남의 서부해안지역이 컸으며 강원, 충북, 경북, 충남 내륙지역에서 작았다. 밭의 평균 경사도는 강원 평창이 30.1%로 가장 높았으며 태백산에서 지리산에 이르는 소백산맥 주변에 위치한 지역의 밭 평균 경사도가 높았다. 우리나라 밭토양의 연간 총유실량은 전남이 가장 많았고 경북, 경남의 순으로 나타났다. 밭토양의 단위면적당 연간 토양유실량은 경남이 가장 높았고 전남, 강원 순으로 높았다. 시군단위로 분석한 결과 강원 평창의 밭 단위면적당 토양유실량이 가장 많았으며 경남 남해, 고성, 강원 정선 등의 단위면적당 토양유실량이 많았다. 이는 경남과 전남의 경우 강우인자가 크며 경남과 강원지역의 밭이 경사도가 크기 때문이었다. 논은 토양침식 위험성이 대부분 "매우 적음" 또는 "적음" 등급에 해당하였으며 밭은 전체 밭 면적 중 23.5%가 "매우 심함" 등급이었다. "매우 심함" 등급에 해당하는 밭 중에서 경사가 15% 이상 (D-F slope)이
북한 지역별 기온, 일장 환경 적응 벼 품종의 출수생태 특성을 알아보기 위하여 남한, 북한, 중국 동북 3성 40 품종의 기본영양생장성, 감광성, 감온성을 검정하고, 각 지역적응 품종의 특성을 분석한 결과는 다음과 같다. 1. 시험품종의 기본영양생장성은 12~43일, 감광성은 0~74일, 감온성은 15~33일 범위였는데, 공통적으로 조생종은 감광성이 작고 중생종과 중만생종은 감광성이 컸다. 2. 북한 주요 벼 재배 13 지역 환경에서 조, 중, 중만생종 40 품종을 모두 포함하여 검토하였을 때 출수소요일수는 감광성과 고도로 유의한 정의 상관을 보였으며, 북한저온 10 지역 환경에서 조생종 28 품종에서 검토하였을 때 출수소요일수는 감광성과는 유의성이 없었고 기본영양생장성 및 감온성과 유의한 상관관계를 나타내었다. 3. 벼 재배기간의 기온이 가장 높은 사리원과 평양 환경 적응 특성은 1) 감광성이 25~30 이하이거나, 2) 감광성이 그 이상인 경우, 안전출수한계기에 근접하여 출수한 품종의 기본영양생장성 - 감광성 관계식으로 구분되었다. 4. 기온이 비교적 높은 개성, 해주, 용연, 신계, 남포 환경적응 품종은 각 지역의 안전출수한계기에 인접하여 출수한 품종의 기본영양생장성 - 감광성 관계식을 기준으로 구분되었다. 5. 안주, 구성, 신의주, 장전, 원산, 수풍의 환경에서 안전출수한계기까지 출수한 품종과 함흥, 평강, 희천, 강계의 환경에서 출수만한기까지 출수한 품종은 감광성이 26일 이하이면서 기본영양생장성이 25~28일 이하에 분포하였다. 6. 기온이 낮고 재배기간이 짧은 양덕, 신포, 중강 환경에서 출수만한기까지 출수한 품종은 감광성이 작은 조생종 중기본영양생장성이 15~20일 이하로 작은 특성을 나타내었다. 7. 출수소요일수가 짧은 품종을 비교하였을 때 북한과 중국 동북 3성 품종은 남한 품종보다 출수소요일수와 기본영양생장성이 작았으므로, 생육기간이 짧은 국내 품종 육성을 위해서는 짧은 기본영양생장성의 도입이 제안되었다.
To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70