Isoflavones found in soybeans are present as glycosides and aglycones, which differ according to their chemical structure. The absorption rate and bioavailability of aglycones are greater than those of glycosides. It is known that aglycone isoflavones in soybean was converted from glycoside isoflavones by activating of endogenous β-glucosidase under drying (40~60℃) conditions after soaking. In this study, we compared and analyzed the proximate composition and isoflavone contents of soybean powders prepared under dried after soaking were analyzed. In the comparison of the proximate compositions, the moisture contents of white soybean powder dried after soaking (WSPDS) and black soybean powder dried after soaking (BSPDS) were decreased as compared with those of the control white soybean powder (CWSP) and control black soybean powder (CBSP). Whereas the contents of other proximate compositions were increased. The aglycone isoflavone contents were higher in WSPDS than in CWSP. Whereas the aglycone isoflavone contents of BSPDS had a similar content those of CBSP because of the component characteristics of black soybean. In conclusion, we believe that it is appropriate to identify and utilize the component characteristics of soybean varieties in order to induce an increase in the functional component content of soybeans under drying conditions after soaking.

This study analyzed the nutritional composition (proximate composition, total dietary fiber, calories, minerals, fatty acids, and amino acids) of 10 noodle products (tteok ramyun, jjamppong ramyun, kimchi ramyun, instant udon, cup ramyun, jajangmyun, bibimmyun, cream spaghetti, ssalguksu, and milmyun), which account for 85% of the cumulative intake of one or more key nutrients, using data from the 7th Korea National Health and Nutrition Examination Survey. The moisture contents of bibimmyun, jajangmyun, and cream spaghetti were lower than those of the other noodle products, whereas the crude fat, crude protein, carbohydrate, and calorie contents were the highest. Cream spaghetti had the highest mineral, fatty acid, and amino acid contents, followed by bibimmyun and jajangmyun. Ssalguksu had the lowest contents of most nutrients. These data could be used to populate a food composition database, which can provide consumers with the nutritional information about frequently consumed noodle products.

Purpose – For small and medium sized firms, CEO characteristics are main factor influencing firms’ prosperity as well as performance. So it is quite natural that many people are interested in factors of CEO that matters. In this research, CEO characteristics in terms of capabilities and skill or special knowledge necessary to run the business are invested for manufacturing firms. Precedent studies reveal that CEO characteristics such as psychological factors including desire to succeed, tendency to take risks, personal factors including age, year of running business, and task related factors including managing capability, communication skills, network influence firm performance for manufacturing firms. However, these studies simply verify whether or not those factors affect firm’s managing performance. This study, however, goes further to investigate how is the affecting process from CEO’s capabilities and organization characteristics to firm’s core competence, and from core competence to advantages, and from advantages to managing performance. Research design, data, and methodology – We make a questionnaire and surveyed manufacturing firm CEO’s in Gyeonggi-do area. General characteristics analysis, factor analysis, regression analysis, and control effect analysis was conducted. SPSS 2.0 Win, version was used. Results – The CEO characteristics including basic capability, task capability, leadership, and organization characteristics affect core competence at the statistically significant level. And, core competence affect both price advantage and differentiation advantage at the significant level. Some unique finding is that while differentiation advantage affects both financial achievement and non-financial achievement, price advantage does not affect both financial and non-financial achievement. And firm characteristics mainly measured by CEO characteristics of skills has control effects on the trace from core competence to price advantage. Conclusions – For small and medium sized firms CEO characteristics is the most important factor influencing firm’s prosperity. For manufacturing firms, whether CEO has the skill or special knowledge to run the firm is critical factor. The study results show that CEO’s for manufacturing firms put importance on price and price advantage which seems to be familiar to them. However, the price advantage does not influential to financial and non-financial achievement. This result suggests that small and medium sized manufacturing firms’ CEO’s should make effort to improve other aspects of advantages to be more competitive.

Purpose - In this research, we investigate the relationship between the level of information technology utilization, social capital and knowledge management, organization performance. For information and knowledge management, participants’ certain level of information technology utilization is required and connections among participants are necessary for performing and for synergy effects. Research design, data, and methodology - Reflecting on these, we empirically analyze the effects of participant’s information technology utilization level and social capital on knowledge management and organization achievement for the case of Incheon International Airport. Questionnaire is distributed to the airport employees and collected 221 samples for analyzing. SPSS and AMOS statistic programs are used for analysis. Factor analysis, Credibility adaptability, path analysis, hypotheses are verified. Results - The study research shows as follow. First, the level of IT utilization does affect social capital but does not affect knowledge management. Second, social capital affects both knowledge management and organization achievement. To investigate more about the relationship between the level of IT utilization and knowledge management, we analyzed the control effects of personal characteristics, and findings are, first, employees with longer time service recognize the importance that the level of IT use and knowledge management affect organization achievement more seriously than employees with shorter time service do. Second, employees with shorter time service and younger employees have relatively lesser social capital and participate in knowledge management passively. Third, higher position employees think that the level of IT utilization affects knowledge management while lower position employees do not. Conclusions – The level of IT utilization affects social capital, and social capital affects knowledge management and organization achievement. These results suggest that the level of IT utilization is very important to both organization and each employee. So providing related training and education opportunities or incentives to induce employees to make efforts for higher level of IT utilization and thus to participate in knowledge management more actively is necessary. The level of IT utilization affects social capital which airport employees lack. The one of study results indicates the importance of social capital and for higher competitiveness of the airport social capital should be increased.

Purpose - This study is to investigate the relationship among emotional intelligence, self-efficacy and job stress of foreign life insurance consultants focusing on the mediating effect of self-efficacy. Regarding job security, in general foreign life insurance companies in Korea have more severe working conditions in terms of required contract performance. For foreign life insurance consultants, they are assumed to need higher level of emotional intelligence and self efficacy to meet the conditions. In this study, focus is cast on these aspects. Research design, data, and methodology – Basically the research is conducted upon questionnaires responded by foreign life insurance consultants. That is, data are collected from 255 sample of insurance consultants who work for a foreign owned life insurance company. The Questionnaire measure the level of emotional intelligence, self-efficacy and job stress of insurance consultants. The data are analyzed using pearson's correlation coefficient and hierarchical multiple regression, descriptive statistics, t-test, ANOVA, Durbin-Watson test. Results – The general characteristics of respondents are gender, age, marital status, education level, income monthly, career length, change jobs no, working day per week, call no. per week, meeting no. with client per week, contract regularity, contract no. per month and cancellation contract per year. The mean of emotional intelligence is 2.63, self-efficacy is 3.44 and job stress is 2.20. Emotional intelligence is composed with mean value of self emotion appraisal(3.93), other’s emotion appraisal(3.78), regulation of emotion(3.29) and use of emotion(3.52). The mean of self efficacy is composed with mean value of self-confidence(3.41), self-regulated efficacy(3.59) and preference task difficulty(3.30). The job stress is composed with mean value of job requirement(2.61), lack of job autonomy(1.99), conflict of personal relations(1.99), job instability(2.38), organizational system(2.19) and inappropriate compensation(2.07). There is a significant positive correlation between emotional intelligence and self-efficacy. The emotional intelligence and self-efficacy are significantly negative correlation with job stress. The self-efficacy is showed a mediating variable between emotional intelligence and job stress. Conclusions - To decrease job stress level, foreign life insurance company should find the factors to improve the emotional intelligence and self-efficacy of life insurance consultants, and develop appropriate plans using a mediating role of self– efficacy between emotional intelligence and job stress.

산업의 발달로 인하여 플라스틱의 수요가 증가되고 있다. 산업현장과 가정에서 사용 후 배출되는 폐플라스틱은 많은 환경 문제를 야기 시키고 있으며, 이를 해결하기 위하여 적극적인 폐플라스틱 재활용 방안이 제안되고 있다. 폐플라스틱의 효율적으로 재활용하기 위해서는 재질별 선별이 이루어져야 하며, 재질별 선별을 위한 기술 개발은 지속적으로 이루어져 왔다. 최근에는 폐플라스틱의 재질별 선별에 근적외선분광법(NIR 선별기)가 가장 널리 사용되고 있으며, 우수한 재질 분류 성능을 보인다. 그러나 검정색 폐플라스틱의 경우 근적외선의 빛을 흡수하여 재질인식을 하지 못하는 단점을 가지고 있다. 본 연구에서는 이러한 근적외선분광법의 단점을 보완하기 위하여 분광기의 일종인 레이저유도플라즈마 분광기를 이용하여 검정색 플라스틱의 재질별 선별을 위하여, 플라스틱 고유의 스펙트럼을 획득한다. 분광기를 통해 얻어진 스펙트럼은 주성분분석법(Principal Component Analysis; PCA)을 이용하여 데이터 전처리(Preprocessing) 과정을 거친 후 입력 데이터를 얻는다. 데이터 전처리 과정을 통해 획득된 입력 데이터를 이용하여 플라스틱의 재질 인식을 위한 패턴 분류기로 퍼지집합 기반 신경회로망(Fuzzy-set based neural networks)을 이용한다. 퍼지 집합 기반 신경회로망은 퍼지 집합과 신경회로망의 장점을 결합한 퍼지 신경회로망의 일종으로 입력변수의 차원이 높은 경우에 좋은 성능을 보이는 신경회로망이다.