• 한국환경과학회지
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• 제16권3호
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• pp.347-355
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• 2007

In this paper, estimation of the compressive strength of the concrete incorporating blast furnace slag subjected to high temperature was discussed. Ordinary Portland cement and blast furnace slag cement (BSC;30% of blast furnace slag) were used, respectively. Water to binder ratio ranging from 30% to 60% and curing temperature ranging from $20^{\circ}C{\sim}65^{\circ}C$ were also chosen for the experimental parameters, respectively. At the high temperature, BSC had higher strength development at early age than OPC concrete and it kept its high strength development at later age due to accelerated latent hydration reaction subjected to high temperature. For the strength estimation, the Logistic model based on maturity equation and the Carino model based on equivalent age were applied to verify the availability of estimation model. It was found that fair agreements between calculated values and measured values were obtained evaluating compressive strength with logistic curve. The application of logistic model at high temperature had remarkable deviations in the same maturity. Whereas, the application of Carino model showed good agreements between calculated values and measured ones regardless of type of cement and W/B. However, some correction factors should be considered to enhance the accuracy of strength estimation of concrete.

• 유통과학연구
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• 제21권5호
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• pp.31-41
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• 2023

Purpose: Electric vehicle (EV) technology started in 2015 in Thailand. The Thai Government has indicated that 30% of all cars produced in Thailand by 2025 will be EVs. Using EVs in Thailand will reduce road pollution and increase energy efficiency, especially in major cities. Hence, the adoption of EVs in the country has been promoted. This study pointed out that social influence, facilitating conditions, perceived enjoyment, environmental concern, attitude, and perceived behavioral control are key factors affecting the behavioral intention to adopt EVs among logistic and distribution firms in Thailand. Research design, data, and methodology: 500 top management, middle management and purchasing managers of logistic and distribution firms in Thailand are surveyed. The study employed judgmental, convenience, and snowball sampling. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) are the main statistical tools for data analysis. Results: The results show that all determinants impact customers' willingness to adopt EVs, except perceived enjoyment and environmental control. Conclusions: The study proposes to promote the incentives by decreasing electricity prices and endorsing EVs purchase to accelerate the adoption of EVs in Thailand. Therefore, future policies should focus on behavioral intention toward EVs amongst logistic and distribution firms for enhancing the future of mobility in Thailand.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2005년도 춘계학술대회 논문집
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• pp.441-449
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• 2005

국가정책에 있어서 아직도 연안해운은 소외되고 있어 남북해운합의서 발효에 따른 남북물류의 증대와 동북아 연안으로 부상하는 환황해권과 환동해권에서 우리나라가 물류거점화 되는데 많은 문제점이 노출되고 있다. 이러한 문제점을 해소하고 외항과 연안간 균형발전을 도모하여 우리나라가 동북아 물류거점화 할 수 있는 방안으로 크게 연계수송체제의 강화, 연안해운의 체질강화 및 정부의 체계적인 지원정책으로 구분 제시하는 것이 본 연구목적이다. 연구결과에 의하면, 첫째로, 연계수송체계를 강화하기 위해 거점항만내에 연안피더 전용선석의 구축으로 연안피더운송의 연계성 강화가 필요하며. 둘째로, 연안부두에 화주를 유인할 수 있는 공동 장치장 및 하역설비를 대폭 보강하여 One-Stop 서비스체제의 확립 그리고 연안선박의 노후된 비경제선을 Ro-Ro 선이나 고속컨이너선으로 대체 및 면세유공급과 각종 세재의 실질적인 혜택부여로 친환경적인 외항-연안간 균형된 물류사슬체계를 갖추는 것이 필요한 것으로 나타나고 있다.

• 한국수자원학회논문집
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• 제34권5호
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• pp.439-448
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• 2001

본 연구에서는 단일절리에서 2상유체 동시거동을 해석하기 위해서 2차원 유한차분 수치모형을 개발하였다. 개발된 모형은 압력에 따른 점성의 변화가 포화도에 따른 상대투과계수의 변화를 절리간극의 크기별로 고려할 수 있다. 수치기법으로는 IMPES해법을 적용하여 물과 가스의 압력변화량과 포화도를 차례로 구하였다. 개발된 수치 모형에 이용할 상대투과계수의 특성식 도출을 위해서 일곱가지 경우의 평판모형실험을 실시하였다. 실험으로부터 도출된 상대투과계수 특성곡선은 기존의 경험식으로는 표현되기 어려웠으며, 따라서 새로운 경험식으로 로지스틱 방정식을 제시하였다. 이 방정식은 간극의 크기가 포함된 매개변수를 사용하였기 때문에 임의의 절리 간극크기의 적용이 가능한 형태이다.

• 한국산업보건학회지
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• 제8권1호
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• pp.76-87
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• 1998

The concentration of welding fume was measured by 221 welders themselves in chassis frame workplace of the manufactory from February, 1, 1996 to May, 31, 1997. Welding parameters were the welding current and the distance between helmet and arc. Those two optimum conditions were proposed by excess probability analysis using logistic regression, so the best position in the workplace was proposed considering two factors to control the welding fume. The results are as followings; 1) The excess proability of welding fume TLV was over 99% in above 260 Amperes of welding current and also in below 30cm of distanced between helmet and arc. 2) The equation from logistic regression analysis using SPSS/PC+5.02 had the welding current as a independent variable and the excess of welding fume TLV as a dependent variable (p<0.05). Logit(welding fume TLV) = 0.1296 ${\times}$ wlding currnet - 28.8750 3) The equation from logistic regression analysis using SPSS/PC+5.02 had the distance between helmet and arc as a independent variable and the excess of welding fume threshold limit value a, a dependent variable (p<0.05). Logit (welding fume TLV) = -0.6809 ${\times}$ distance between helmet and arc +25.1665 4) Considering both cases or 2) and 3). the result equation is following. (p<0.05). Logit (welding fume TLV) = 0.1346 ${\times}$ welding current -0.3859 ${\times}$ distance between helmet and arc -15.7382 5) The excess probability of welding fume threshold limit value was 100% in above 240 Ampere of welding current. Thus, below 220 Ampere can be suggested to reduce the 40% number of welders who have a excess welding fume threshold limit value. 6) The excess probability of welding fume TLV was 100% in below 34cm of distance between helmet and arc. Thus, over 38cm can be suggested to reduce the 33% number of welders who have a excess welding fume TLV. 7) Considering both 5) and 6) cases, first of all, the best welding current can be 200 Ampere to have a below 15% of welding fume excess probability for the welders who works in distance of 34-37cm. Secondly, to have a below 30% excess probability of welding fume TLV, the working distance must be over 38cm in 220 Ampere and 32cm in 200 Ampere. 8) To reduce the average exposure concentration of welding fume ($8.21{\pm}5.83mg/m^3$), the movable local exhaust system equipped with flexible hoods can be used.

• Smart Structures and Systems
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• 제24권3호
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• pp.361-377
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• 2019

The stiffness of shape memory alloy (SMA) spring while in actuation is represented by an empirical model that is derived from the logistic differential equation. This model correlates the stiffness to the alloy temperature and the functionality of SMA spring as active variable stiffness actuator (VSA) is analyzed based on factors that are the input conditions (activation current, duty cycle and excitation frequency) and operating conditions (pre-stress and mechanical connection). The model parameters are estimated by adopting the nonlinear least square method, henceforth, the model is validated experimentally. The average correlation factor of 0.95 between the model response and experimental results validates the proposed model. In furtherance, the justification is augmented from the comparison with existing stiffness models (logistic curve model and polynomial model). The important distinction from several observations regarding the comparison of the model prediction with the experimental states that it is more superior, flexible and adaptable than the existing. The nature of stiffness variation in the SMA spring is assessed also from the Dynamic Mechanical Thermal Analysis (DMTA), which as well proves the proposal. This model advances the ability to use SMA integrated mechanism for enhanced variable stiffness actuation. The investigation proves that the stiffness of SMA spring may be altered under controlled conditions.

• 대한한의진단학회지
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• 제17권1호
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• pp.63-76
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• 2013

The aims of this study are to investigate a logisitic regression equation of the vacuous pulse and the replete pulse for efficacy evaluation of clip-type pulsimeter by using magnetic Hall device. To evaluate the efficacy of clip-type pulsimeter by using magnetic Hall device as sensing the minute movement of a radial artery, one research clinical trial have been performed. The number of subject was 120, the clinical data of patients did treated with a normal statistical method. The systolic peak amplitude, the reflective peak amplitude and time, and the notch peak amplitude and time are analyzed major efficacy parameters to discern the vacuous pulse and the replete pulse. The equations included of five parameters such as systolic peak amplitude, the reflective peak amplitude and time, and the notch peak amplitude and notch amplitude time for determination of the vacuous pulse and the replete pulse were deducted by statistical logistic regression method. It suggests that the logistic regression equations are possible to develop the oriental algorithm for pulse diagnosis.

• 한국항해항만학회지
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• 제29권8호
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• pp.709-714
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• 2005

본 논문의 목적은 우리 항만이 동북아 거점항만으로 변신하는데 필요한 항만공급사슬전략을 도출하여 거점항만으로의 발전전략의 적합성을 분석하였다. 경쟁항만의 발전 잠재력을 충분히 고려하고 우리 항만의 시설${\cdot}$서비스수준의 미흡성을 하루속히 보완하는 유연한 항만 공급능력의 확보, 항만리드타임(접안시간, 양하역시간 등)의 최소화와 뭍류서비스를 극대화${\cdot}$다양화할 수 있는 모듈방식의 항만운영의 다양화가 필요함을 검증하였다. 특히, 거점항만 개발전략에서 다양한 부가서비스의 제공과 실질적인 부가가치를 창출할 수 있는 방향으로 항만배후부지 개발이 매우 중요한 것으로 나타나고 있다.

• 한국지리정보학회지
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• 제17권1호
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• pp.1-12
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• 2014

수관화는 대형산불의 주된 확산유형으로 빠른 확산속도와 높은 산불강도의 특성을 보이며 많은 피해를 입힌다. 이 연구에서는 수관화 피해를 사전에 예측하기 위해서 수관전소 피해를 입은 지역의 지형 임상 기상 특성을 분석하여 수관화확산확률식을 개발하였다. 영덕 울진 고령 예천에서 일어난 4개의 산불피해지를 대상으로 하였으며, 총 18개의 공간 변수를 구축한 뒤 기타연소지에 대한 수관전소지의 비를 이용하여 각 변수별 구간 가중치를 구하고 로지스틱 회귀모형을 이용하여 변수와의 상관계수를 산출하였다. 그 결과, 수관화확산확률은 임상이 침엽수림일 때, 250m 이상에서 고도가 높아질수록, 기복이 심할수록, 사면향은 남서 또는 남동사면일 경우, 능선일수록, 일사량이 많아질수록 높게 나타났다. 고도와 경사가 낮은 곳에서는 교란현상이 많이 나타나 일정한 패턴을 보이지 않았다. 이 확률식을 통해 수관화 위험지를 사전에 분석할 수 있고, 산불방지 숲가꾸기 지역 선정 및 진화 우선 지역 선정 등에 효과적으로 활용할 수 있을 것이다.

• Journal of Trauma and Injury
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• 제35권1호
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• pp.25-33
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• 2022

Purpose: The scoring system for traumatic liver injury (SSTLI) was developed in 2015 to predict mortality in patients with polytraumatic liver injury. This study aimed to validate the SSTLI as a prognostic factor in patients with polytrauma and liver injury through a generalized estimating equation analysis. Methods: The medical records of 521 patients with traumatic liver injury from January 2015 to December 2019 were reviewed. The primary outcome variable was in-hospital mortality. All the risk factors were analyzed using multivariate logistic regression analysis. The SSTLI has five clinical measures (age, Injury Severity Score, serum total bilirubin level, prothrombin time, and creatinine level) chosen based on their predictive power. Each measure is scored as 0-1 (age and Injury Severity Score) or 0-3 (serum total bilirubin level, prothrombin time, and creatinine level). The SSTLI score corresponds to the total points for each item (0-11 points). Results: The areas under the curve of the SSTLI to predict mortality on post-traumatic days 0, 1, 3, and 5 were 0.736, 0.783, 0.830, and 0.824, respectively. A very good to excellent positive correlation was observed between the probability of mortality and the SSTLI score (γ=0.997, P<0.001). A value of 5 points was used as the threshold to distinguish low-risk (<5) from high-risk (≥5) patients. Multivariate analysis using the generalized estimating equation in the logistic regression model indicated that the SSTLI score was an independent predictor of mortality (odds ratio, 1.027; 95% confidence interval, 1.018-1.036; P<0.001). Conclusions: The SSTLI was verified to predict mortality in patients with polytrauma and liver injury. A score of ≥5 on the SSTLI indicated a high-risk of post-traumatic mortality.