마비성 패류독소 중독증(paralytic shellfish poisoning; PSP)은 삭시톡신과 그 유사체로 오염된 패류를 섭취했을 때 발생하며, 저림, 구토 등의 증상에서부터 근육 마비와 심각한 경우 호흡 마비로 이어져 사망에 이를 수 있다. 독 성등가계수(toxic equivalency factors; TEFs)는 다양한 마 비성 패류독소의 독성을 표준화하여 위험성을 평가하는 데 사용된다. 마비성 패류독소를 검출하기 위해 사용되던 마우스 생체 실험(mouse bioassay; MBA)에 대한 윤리적 문제가 제기되면서 고성능액체크로마토그래피와 같은 기 기 분석법으로의 전환이 시도되고 있지만, 유사체들의 적절 한 TEF를 설정하기 위해서는 여전히 동물 모델을 통한 생 체 내 독성 데이터가 필수적이다. 본 연구에서는 동물 수를 줄이면서도 신뢰할 수 있는 경구투여 독성 결과를 얻기 위 해 삼단계 반응표면-경로 (three-level RSP) 설계를 사용했다. 인증 표준 물질을 이용하여 각 독소의 초기 용량과 조정 계 수를 결정하고 시험을 진행했으며, STX.2HCl, NeoSTX, dcSTX, GTX1&4, GTX2&3, dcGTX2&3의 반수치사량 (및 TEF) 값은 각각 451.3 (1.00), 306.5 (1.47), 860.9 (0.52), 644.5 (0.70), 915.3 (0.49), 2409.3 (0.19)로 나타났다. 도출된 TEF 값은 2016년 WHO에서 권고한 TEF 값뿐만아니라, 이 전에 보고된 경구 투여 반수치사량을 기반으로 한 TEF 값 과 강한 상관관계를 보였다. 본 연구는 마비성 패류독소 뿐 만 아니라 신규 미관리 해양생물독소에 대해 적절한 TEF를 설정하는 데 있어 삼단계 반응표면경로 설계를 윤리적 우 려와 신뢰할 수 있는 독성 데이터의 필요성 사이에서 효과 적으로 균형을 맞출 수 있는 방법으로 제안한다.

목적 : 조절력이 충분한 20대 성인이 단일 및 다중 전면 비구면 기능성 콘택트렌즈 착용 후 시각의 질 및 조절 기능의 차이를 비교하고자 하였다. 방법 : 13명(21.38±0.65세)의 대상자들을 두 종류의 콘택트렌즈를 각각 착용 후 시력, 대비감도, 스트레이라 이트, 총 고위수차, 구면수차, 코마수차, 조절반응, 양안조절용이성, 조절근점을 평가하였다. 결과 : 시력, 대비감도, 스트레이라이트, 총 고위수차, 구면수차, 양안조절용이성은 유의한 차이가 없었고 코마수차 는 4, 5 mm 동공크기에서 다중 전면 비구면 기능성 콘택트렌즈를 착용 시 경미하게 증가하였다(p=0.037). 조절반 응(p=0.006)과 조절근점(p=0.005)은 다중 전면 비구면 기능성 콘택트렌즈를 착용 시 유의하게 더 감소하고 짧아졌다. 결론 : 다중 전면 비구면 기능성 콘택트렌즈 착용 시 단일 전면 비구면 콘택트렌즈 착용 시와 비교하여 시각의 질 은 차이가 없었지만 조절부담을 감소시켜주는 효과가 있으므로 젊은 성인의 기능성 렌즈로서 유용할 것으로 사료된다.

The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

Response surface methodology (RSM) is one of the statistical methods for optimizing dependent variable in response to independent variables, and has been used in various field of food engineering. The model coded by RSM has a canonical formulation of 2nd order polynomial with the normalized ranges of independent variables. To accurately accomplish the optimization using RSM an adequate experimental design, i.e., response surface design, is necessary. Response surface design is determined by type of design and number of independent variables. In this study, we are to develop a response surface design applicable for optimizing hulled barley (Hordeum vulgare) production under various conditions of temperature and humidity in forage growing system. As a result, 3 experimental designs were conceived for future RSM; central composite design (CCD), inscribed central composite design (ICCD) and equiradial design. Each design requires experimental trials of 13, 13, and 8, respectively. We will further select one of the designs for actual experiments for finding the optimal temperature and humidity necessary for maximizing fresh forage production in the system.

RSM (response surface method) is a statistical method that optimizes a response variable (dependent variable) according to multiple explanatory variables (independent variable) [1]. RSM visualizes responses of the target depending on experimental conditions, using a regression equation containing an intercept, and coefficients of first-order, second-order, and interactive terms (equation 1). Response surface experimental design is a method for designing RSM experiments [2] which aims to identify the optimal number of trials (number of data points) and number of conditions (range of experimental variables) according to the order of the regression model. Generally, the number of trials in an experiment is composed of central points, factorial points, and axial (or star) points, which varies depending on the number of variables. In this study, we used three widely used response surface experimental designs, i.e., simplex, central composite, and equiradial designs to propose experimental set-up applicable for a future study regarding the effects of storage conditions (e.g., temperature and humidity) on glucosinolate content.

The determining the appropriate dosage of coagulant is very important, because dosage of coagulant in the coagulation process for wastewater affects removing the amount of pollutants, cost, and producing sludge amount. Accordingly, in this study, in order to determine the optimal PAC dosage in the coagulation process, CCD (Central composite design) was used to proceed experimental design, and the quadratic regression models were constructed between independent variables (pH, influent turbidity, PAC dosage) and each response variable (Total coliform, E.coli, PSD (Particle size distribution) (‹10 μm), TP, PO4-P, and CODcr) by the RSM (Response surface methodology). Also, Considering the various response variables, the optimum PAC dosage and range were derived. As a result, in order to maximize the removal rate of total coliform and E.coli, the values of independent variables are the pH 6-7, the influent turbidity 100-200 NTU, and the PAC dosage 0.07-0.09 ml/L. For maximizing the removal rate of TP, PO4-P, CODcr, and PSD(‹10 μm), it is required for the pH 9, the influent turbidity 200-250 NTU, and the PAC dosage 0.05-0.065 ml/L. In the case of multiple independent variables, when the desirable removal rate for total coliform, E.coli, TP, and PO4-P is 90-100 % and that for CODcr and PSD(‹10 μm) is 50-100 %, the required PAC dosage is 0.05-0.07 ml/L in the pH 9 and influent turbidity 200-250 NTU. Thus, if the influent turbidity is high, adjusting pH is more effective way in terms of cost since a small amount of PAC dosage is required.

Response surface methodology (RSM) based on a Box-Behnken Design (BBD) was applied to optimize the thermal-alkaline pre-treatment operating conditions for anaerobic digestion of flotation scum in food waste leachate. Three independent variables such as thermal temperature, NaOH concentration and reaction time were evaluated. The maximum methane production of 369.2 mL CH4/g VS was estimated under the optimum conditions at 62.0°C, 10.1% NaOH and 35.4 min reaction time. A confirmation test of the predicted optimum conditions verified the validity of the BBD with RSM. The analysis of variance indicated that methane production was more sensitive to both NaOH concentration and thermal temperature than reaction time. Thermal-alkaline pretreatment enhanced the improvement of 40% in methane production compared to the control experiment due to the effective hydrolysis and/or solubilization of organic matters. The fractions with molecular weight cut-off of scum in food waste leachate were conducted before and after pre-treatment to estimate the behaviors of organic matters. The experiment results found that thermal-alkaline pre-treatment could reduce the organic matters more than 10kD with increase the organic matters less than 1kD.

PURPOSES : In this study blast furnace slag, an industrial byproduct, was used with an activating chemicals, Ca(OH)2 and Na2SiO3 for carbon capture and sequestration as well as strength development. METHODS: This paper presents the optimized mixing design of Carbon-Capturing and Sequestering Activated Blast-Furnace Slag Mortar. Design of experiments in order to the optimized mixing design was applied and commercial program (MINITAB) was used. Statistical analysis was used to Box-Behnken (B-B) method in response surface analysis. RESULTS : The influencing factors of experimental are water ratio, Chemical admixture ratio and Curing temperature. In the results of response surface analysis, to obtain goal performance, the optimized mixing design for Carbon-Capturing and Sequestering Activated Blast- Furnace Slag Mortar were water ratio 40%, Chemical admixture ratio 58.78% and Curing temperature of 60℃. CONCLUSIONS: Compared with previous studies of this experiment is to some extent the optimal combination is expected to be reliable.

The objective of this study is to develop 3D anthropometrical data acquisition method of human back surface and to recognise and extract its morphological characteristics. This technique is very useful in describing the sitter's back contour and the interaction between the sitter's back and the seat. The back surfaces of subjects in sitting posture are measured by using martine-type anthropometer and sliding gauge. These basic anthropometrical data are reconstructed into 3D image.

본 연구는 신경망 알고리즘 및 반응표면법을 이용하여 부품의 최적화 설계 치수를 예측하고, 예측된 데이터의 신뢰성을 상호 검증하는 하는 데 있다. 부하가 변할 때, 부품의 치수를 변화시켜 가며 응력 및 변형량의 변화를 해석 데이터로 수집하여 반응표면법 및 신경망학습에 이용하였다. 이를 위해 임의의 조건에서 반응표면법으로 최적화 설계를 수행하고, 동일한 조건에서 신경망 알고리즘의 예측결과와 비교하였다. 그 결과 최대 3.0%의 치수 오차를 보이는 것으로 나타났다. 또한 검증을 위해 반대로 동일한 하중 및 치수 조건에서 유한요소해석을 통해 응력 및 처짐량을 구해 반응표면법 및 신경망학습의 결과를 비교하였으며, 이때 4.2%의 오차를 보였다. 이는 부품의 사양 변경 시 최적화 설계를 위해 반응표면법 및 신경망을 이용할 수 있으며 신뢰성이 있음을 알 수 있었다. 특히 신경망 학습을 통해 보다 효과적으로 최적화 설계가 가능함을 확인할 수 있었다.

소화시스템에 사용되는 고압의 소화가스 저장용기에는 저장용기의 파손을 막아주는 안전밸브가 있다. 이러한 안전밸브의 내부에는 원형 박판의 파열 판이 들어 있는데, 저장용기의 내압이 위험수준에 도달하면 파열 판이 파손하여 내압을 배출하는 역할을 한다. 안전밸브의 설계인자는 파열 판의 두께, 안전밸브의 유로 직경, 플라스틱 패킹 링의 내부 직경 그리고 파열 판을 고정하는 볼트 안쪽의 필렛 반경이 있다. 이중에서 파열 판의 두께는 0.2mm로 고정을 하였다. 요인배치법을 사용하여 주효과를 결정하였고 회귀방정식을 유도하였다. 이러한 회귀방정식은 추후 안전밸브의 설계에 있어서 기초 설계 자료로서 활용할 수 있도록 실험 결과와 비교하여 검증하였다. 검증실험 및 회귀방정식에 의한 결과의 오차는 약 정도인 것을 확인하였다. 그리고 반응표면법을 사용하여 기밀테스트 압력인 25MPa에서 파열할 수 있는 안전밸브의 최적 모델을 결정하였다.

There is boner process of stone manufacturing to become quality down of stone to consolidated micro crack appearance of stone surface and biotite by fire that is to be route process in stone surface by flame of LPG. And then, it is develop that stone surface process equipment by automation for the work method of boner process can be substitute work method by shotball blasting. To developement of equipment, There is to be down noise and dust. Acording to remove calamity growth hazardous substance in the work environment, there is to solve workplace avoidance factor. We have taken Taguchi's parameter design approch, specifically orthogonal array, and determined the optimal levels of stone surface through analysis of the experimental results using SIN ratio.

A study to analyze and solve problems of a stone surface process experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

숙취해소음료 시장이 음주시장의 확장과 더불어 매우 빠르게 성장하고 있다. 각 기업들은 저마다의 차별화된 기술력과 제품력으로 숙취해소음료를 개발하고 새로운 브랜드를 부여하고 패키지디자인을 통해서 이를 소비자에게 알리고 선택받기를 원하고 있다. 브랜드와 더불어 브랜드 이미지를 시각화하고 의미를 부여한 패키지디자인이 소비자의 제품선택에 큰 영향을 가지고 있는 것이다. 따라서 본 연구에서는 브랜드네임의 일반적인 고찰과 함께 현재 시판되고 있는 숙취해소음료의 브랜드네임을 브랜드표현 유형을 기준으로 분류해보고, 브랜드표현 유형별로 브랜드네임의 시각이미지 구현이 패키지의 표면디자인에서 어떻게 이루어졌는지 분석해 봄으로써 보다 바람직한 숙취해소음료의 브랜드네임과 패키지디자인 전략을 제시하고자 하였다.