In this study, quality properties of rapeseed oil by different roasting temperatures (140, 160, 180, and 200℃) were investigated. Roasted-pressed oil (RPO) showed a decrease in lightness and an increase in redness and yellowness with an increase in temperature compared to cold-pressed oil (CPO). In addition, the β-carotene and tocopherol content also increased in RPO as the roasting temperature increased. The tocopherol content increased by 18~20% in RPO at 200℃ compared to CPO. This increase in bioactive components led to improved radical scavenging activity dependent on roasting temperature, and RPO at 200°C showed a 2.7-fold improvement compared to CPO. Finally, it was observed that higher roasting temperatures resulted in an extended oxidation induction period, increasing by up to 3.3 times. In conclusion, roasting is an effective method for enhancing the oil functionality of domestic rapeseed varieties. This study provides basic data for producing high-quality oil.

Recently, there are some outdoor floor advertising lighting devices as one of the active marketing methods. However, for outdoor use, there are many restrictions due to the Outdoor Advertisement Act, according to requiring high-output heat generation, waterproofing, and AC power, etc. The purpose of this study is to develop a Duo Light product optimized for indoor use through publicity and information guidance in normal times and automatic evacuation route guidance display in case of disaster, in conjunction with disaster safety. To that end, patent search and patent association analyses were conducted, and a comparative analysis with commercial products was conducted as a case study. In addition, prototypes were designed and produced through the review of operation principles, where field environment surveys and self-tests were conducted. Also, technology roadmaps were presented by preparing plans for expandability and advancement of products. For the analysis of technology commercialization, the feasibility of technology commercialization was examined through the analysis of Jolly’s Model and Lean Canvas Model. The results of this study will be able to contribute to minimize human damage through the effective response to disasters, which can increase the effect of indoor advertising by using the proposed indoor floor advertising lighting device in advertising and disaster situations.

Currently, the budget for vocational competency development training has been expanded, but the number of participants has decreased. As the budget for the Vocational Competency Development Project increases, the participation of a large number of people becomes necessary. This study aims to derive factors that affect satisfaction by selecting factors related to respondent characteristics, training institutions, training types, and job performance for satisfaction with vocational competency development training, and to study ways to improve satisfaction. Data were collected through focus group interviews (FGI), and logistic regression analysis was conducted through feasibility review and reliability analysis. As a result, in the case of the model, it was confirmed that the degree of agreement between the case actually measured and the case predicted by the model was low in the Hosmer and Lemeshow test, but the overall classification accuracy was classified as 96.0% in the classification accuracy table. As for the influence of the factors, the result was derived that the application of knowledge technology, training institution facility equipment, Business Collaboration, long-term work plan, and satisfaction with work performed have an influence in the order.

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

In the case of incumbent training, unlike training for the unemployed, it is difficult to show the results of training. In this study, factors affecting the performance of vocational competency development training were selected and the main factors were derived. Data were collected through Focus Group Interview(FGI), and regression analysis was performed through factor analysis and reliability analysis. As a result, empathy, training participation type, reliability, working experience, and training operation type were derived as factors affecting job satisfaction. did. Confidence and training participation patterns were derived as factors affecting training satisfaction, and the results showed that the larger the variable, the more positive it was. Therefore, as factors affecting the vocational competency development training performance, there are empathy, training participation type, reliability, work experience, training operation type, certainty, and training participation type. It was confirmed that the results had an effect.

Production management in the automobile parts industry is carried out according to the production plan of the customer, so it is important to prevent shortages in product supply. As the product composition became increasingly complex, the MES System was built for the purpose of efficient production plan management and inventory management, but its utilization is low. This study analyzed the problems of the MES system and sought to improve it. Through previous studies, it was confirmed that the inventory management of the pull approach that actually occurred in the warehouse is more suitable than the push approach based on the forecast of the warehouse for the volatility, complexity, and uncertainty of orders in the auto parts industry. To realize this, we tried distributed MRP by using the ADO function of VBA to link the standard information of the MES system with Excel and change the structure of the BOM table. Through this, it can help increase the accuracy of production planning and realize efficient inventory management, thereby increasing the utilization of the MES system in the auto parts industry and enhancing the competitiveness of the company.

As interest in vocational competency development projects increases, support is increasing. In this study, in order to study ways to improve participation in vocational competency development training, related factors are selected and the main factors influencing them are derived. The main factors were influencing factors were identified and ways to improve participation rate of vocational competency development were studied. Variables were selected through prior research, and data were collected and analyzed through in-depth group interviews. Based on factor analysis and reliability analysis, as a result of confirming the factors that influence the plan for improving participation in vocational competency development training by applying the backward stage selection (condition) method of logistic regression analysis, the case of respect for minorities in the 7-point Likert scale The closer to 7 was, the higher the probability of being classified as having never participated, and the other factors except minority respect, Likert scale closer to 7 indicates higher probability of bening classified as having never participated, except for the minority respect factor. Therefore, it was confirmed that lowering the scale of the factor of respect for minority, which is job satisfaction, and increasing the factors of individual characteristics such as annual salary and organizational commitment, training system for job satisfaction, and quality assurance have effects on improving participation rates in vocational competency development training.

본 연구에서는 석유화학제품 산적운송선(화학유조선)에 의한 해상운송 과정에서 발생한 위험․유해물질(HNS) 관련 해상화학사 고에 대하여 국내 및 국외의 주요 사례를 조사․분석함으로써 얻은 교훈을 소개하고, 이러한 교훈을 바탕으로 국내 해상HNS 교육과정 개 선방안을 제시하였다. 6건의 사고사례를 통하여 얻은 교훈을 1) 사고관련정보, 2) 안전, 3) 오염, 4) 대응, 5) 구난, 6) 기타와 같은 6개 분야로 분류하였다. 각 분야의 세부항목별로 요약된 교훈을 바탕으로 해양환경교육원(MERTI) 유해액체물질운반선 해양오염방지관리인 교육과정을 현행 8개 교과목(16시간)의 2일간 교육을 16개 교과목(24시간)의 3일간 교육으로 개선하는 방안을 제시하였으며, 또한 해양경찰교육원 (KCGA) 전문교육 해양화학사고대응 과정을 현행 15개 교과목(35시간)의 5일간 교육을 32개 교과목(48시간)의 6일간 교육으로 개선하는 방안을 제시하였다. 이러한 연구결과는 해상화학사고 대응에 관한 경험과 교훈을 서로 공유하는 데에 기여하고, 해상HNS사고에 대비한 대응 인력 교육․훈련과정 개선의 기초자료로 활용될 수 있을 것으로 기대된다.

억새와 같은 초본계 바이오매스로부터 cellulose, hemicellulose, lignin 등 주요성분을 추출하기 위해서는 알칼리 전처리가 효율적이며, 본 연구에서는 수산화칼륨(KOH)을 이용한 전처리 조건을 최적화하였다. 전처리 변수의 최적화는 반응표면분석법(RSM)을 적용하였다. RSM의 변수는 3개였으며, 변수범위는 각각 KOH 0.2∼0.8M, 반응온도 110∼190℃ 및 반응시간 10∼90min 이었다. 억새의 알칼리 전처리를 위한 최적조건은 KOH 농도 0.47M, 반응온도 134℃ 및 반응시간 65min 이었다. 최적 전 처리 조건에 따라 전처리를 수행한 후 고형물의 cellulose 함량은 66.1±1.1% 이었으며, hemicellulose 및 lignin 함량은 각각 26.4±0.4%, 3.7±0.1% 이었다. RMS 모델식에 따라 계산된 예측값은 실제값 대비 95% 범위 내에서 유효하였다. 최종적으로 전처리물을 동시당화발효를 통해 검증한 결과 에탄올 생산 수율은 96% 이었다.