• 한국기계가공학회지
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• 제20권10호
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• pp.88-94
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• 2021

Machining operations require the removal of chips to keep the water-soluble cutting oil clean and fresh throughout the operation time. Water-soluble cutting oil for metal processing is diluted using a 3-8% solution in water which is generally replaced every three to six months. This study aims to develop multiple purification devices to efficiently remove fine contaminating particles from water-soluble cutting oil. The 2D concept designs were created using AutoCAD. The designs were drawn using the 3D modelling feature of CATIA. Flow analysis was performed in a bubble purifier using Ansys computational fluid dynamics (CFD). This analysis has aided in improving the design and structure of the device to create the final prototype. Experiments were conducted to check the prototype's performance. Comparisons of the effects of each process variable on the experiment was carried out using ANOVA.

• 패션비즈니스
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• 제25권4호
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• pp.79-91
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• 2021

Currently, chatbot, a conversational platform based on artificial intelligence, is drawing attention as a new marketing channel. This study attempted to verify the effect of the anthropomorphism, message type, and media self-efficacy level on purchase intention. The experimental design of this study was a 2 (anthropomorphism level of shopping chatbot: low vs. high) × 2 (message type: factual vs. evaluative) × 2 (media self-efficacy: low vs. high) three-way mixed analysis of variance (ANOVA). This study conducted a survey by the convenience sampling method of 402 women in their 20s and 30s living in Seoul and the Gyeonggi area who were aware of chatbot services. For the final analysis, 388 questionnaires were used. Data were analyzed with the SPSS 23 program and three-way ANOVA. Simple main effects analysis was conducted. The results of this study were as follows. First, there were statistically significant differences in purchase intention according to anthropomorphism level, message type, and media self-efficacy. Second, message type and media self-efficacy showed statistically significant interaction effects on purchase intention. Lastly, anthropomorphism and the media self-efficacy level and the message type of the shopping chatbots showed significant three-way interaction effects on purchase intention.

• 한국멀티미디어학회논문지
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• 제22권8호
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• pp.832-843
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• 2019

Prostate cancer is a high-risk with a high incidence and is a disease that occurs only in men. Accurate diagnosis of cancer is necessary as the incidence of cancer patients is increasing. Prostate cancer is also a disease that is difficult to predict progress, so it is necessary to predict in advance through prognosis. Therefore, in this paper, grade classification is attempted based on texture feature extraction. There are two main methods of classification: Uses One-way Analysis of Variance (ANOVA) to determine whether texture features are significant values, compares them with all texture features and then uses only one classification i.e. Benign versus. The second method consisted of more detailed classifications without using ANOVA for better analysis between different grades. Results of both these methods are compared and analyzed through the machine learning models such as Support Vector Machine and K-Nearest Neighbor. The accuracy of Benign versus Grade 4&5 using the second method with the best results was 90.0 percentage.

• 한국식품영양학회지
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• 제32권3호
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• pp.267-274
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• 2019

This study was performed to provide fundamental data on the dietary habits and food purchase types according to the stress patterns. The subject was 312 Chinese students in Gyeonggi region through a self-administered questionnaire. According to the results of the reliability analysis, the stress items showed an average of 2.91 and 0.846 for Cronbach alpha coefficient. The results of ANOVA analysis on the difference of dietary habits according to stress are as follows; There were significant differences for the meal frequency per day according to schoolwork, economic, general living, and dietary habits (p<0.05). Also, the general living pattern showed significant differences for the meal outside frequency and Chinese food intake (p<0.05). The results of ANOVA analysis on the difference of food purchase type according to stress are as follows; There was significant differences in degree of use of convenience foods according to interpersonal relationship, cooking method of convenience foods according to economics, the selection criteria of convenience foods according to schoolwork (p<0.05). The correlation coefficient of dietary habits and convenience food intake are 0.223, -0.147 in stress degree and dietary habits. In conclusion, I would like to provide the basic data necessary for the right choice of Chinese students' dietary habits and food purchases.

• Corrosion Science and Technology
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• 제21권5호
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• pp.360-371
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• 2022

Electropolishing has various parameters because an electrochemical reaction is applied. Accordingly, experiments to determine factors and levels of electropolishing conditions are in progress for various materials. The purpose of this investigation was to optimize conditions for electropolishing using the taguchi method for UNS S31603. Factors such as electrolyte composition ratio, electrolyte temperature, and electropolishing process time were selected. Electropolishing was optimized using analysis of variance (ANOVA), signal-to-noise ratio (the smaller the better characteristics), and surface analysis. Results of ANOVA revealed that only the electrolyte composition ratio among factors was effective for surface roughness. As a result of statistical analysis of the signal-to-noise ratio, the highest signal-to-noise ratio was calculated under electropolishing conditions with sulfuric acid and phosphoric acid ratio of 4:6, an electrolyte temperature of 75 ℃, and electropolishing process time of 7 minutes. In addition, the surface roughness after electropolishing under the above conditions was 0.121 ㎛, which was improved by more than 88% compared to mechanical polishing.

• 한국식생활문화학회지
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• 제25권2호
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• pp.134-140
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• 2010

This study focuses on testing the validity of dimensions of restaurants' menu prices. In addition, the effect of demographic variables on the perception of each price dimension was investigated. The subjects were people living in the capital region who have, at least on occasion, gone to family restaurants. The data were collected by self-administered questionnaires and analyzed by factor analysis, reliability analysis, confirmatory factor analysis, and the ANOVA t-test. The results were that consumers' perception of restaurant menu prices is not uni-dimensional, but has six dimensions: price-price schema, pricequality schema, value consciousness, low price proneness, price mavenism, sales proneness. Demographic variables partially affect the consumers' perception of each menu price dimension. The result of the t-test examining dimensions of price according to the demographic characteristic was that females have a higher sales proneness than males. The t-test result according to marriage indicated that married people were higher in price-price schema and quality proneness than unmarrieds. ANOVA according to age indicated that people between ages of 20 to 29 have a higher quality proneness than those of other ages.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.479-487
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• 2013

State Highway Agencies (SHAs) have started utilizing cost-plus-time bidding (A+B bidding) since Federal Highway Agency (FHWA) declared it operational on May 4, 1995. Although this technique has successfully accelerated many projects by incorporating construction time in the bidding competition, a framework to illustrate the interactions of incentive/disincentive (I/D) rates on the competitiveness of contractors participating in the bid competition is yet to be developed. In a previous research, authors indicated that for each bid competition there is an efficient cap for I/D rates which are dictated by the capabilities of contractors in project acceleration. However, the results of previous study were based on the assumption that there is a statistically significant relationship between cost and time. In this study, the entire cost-plus-time projects implemented by the Oklahoma Department of Transportation (ODOT) were investigated. Then the significance of relationship between cost and time were analyzed for each contractor utilizing Analysis of Variance (ANOVA) technique, and the price-time function of each contractor was determined by regression analysis. The results of the analysis indicate that there is a significant relationship between cost and time for the majority of contractors. However, a quadratic relationship is not always significant and for some contractors a linear price-time relationship is significant. The results of this project can be used not only by ODOT to optimize the incentive/disincentive rates but also by contractors to determine the most competitive strategies of other bid participants.

• 한국응용과학기술학회지
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• 제39권6호
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• pp.883-891
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• 2022

본 연구는 간호대학생을 대상으로 강점인식과 셀프리더십이 진로준비행동에 미치는 영향을 규명하기 위하여 시행된 서술적 조사연구로 G시의 간호학과 학생을 대상으로 하였다. 자료의 분석을 위해 기술적 통계, t검증, ANOVA, Pearson 상관계수, 통제적 회귀분석을 실시하였다. 연구결과는 다음과 같다. 강점인식(𝛽=.464, p<.001)과 셀프리더십(𝛽=.512, p<.001) 모두 진로준비행동에 정적인 영향을 나타냈으며, 연구모형은 진로준비행동을 34.1% 설명하는 것으로 확인되었다. 이러한 연구 결과는 간호대학생의 진로준비행동 증진을 위해 감정인식과 셀프리더십을 증진시키기 위한 방안들이 필요함을 시사한다.

• 한국산업융합학회 논문집
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• 제10권4호
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• pp.195-200
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• 2007

These days, various and complex threads are developed, so it is necessary to develop the cutting a thread sensors for checking a cut thread in severe environment and it is very important to evaluate the quality of the cutting a thread sensors. The analysis of variance(ANOVA) method is very useful method on the quality evaluation field. In this study, the quality is evaluated by one way layout ANOVA method with the surface roughness data. The experiment is carried out by 3 sensors and the result show that the sensors have the good quality in precision.

• 한국항공우주학회지
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• 제34권1호
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• pp.49-55
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• 2006

본 연구에서는 공력설계공간의 지식습득을 위해 분산해석법과 자기조직화지도의 이용을 제안하였다. 이 기법들은 각각의 설계변수가 목적함수에 미치는 영향을 예측 가능하게 한다. 더욱이, 분산해석법은 설계변수들의 상호관계가 목적함수에 미치는 영향도 예측 가능하게 하며, 자기조직화지도는 목적함수들 사이에 어떠한 trade-off관계가 있는지도 예측 가능하게 한다. 본 논문에서 72개의 설계변수와 4개의 목적함수를 가진 초음속 날개 설계의 결과에 대하여 이들의 데이터 마이닝 기법들을 적용하였다.