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비소 제거한 심층해수를 이용한 300Mesh급 콩분말 두부제조에 관한 연구
이은숙,변재영,우지희,양지웅,키피,문유청,데스티아니,난다,니콜라스,이강삼,최원식 한국산업식품공학회 2018 학술대회 및 심포지엄 Vol.2018 No.04
21세기밀레니엄 식품으로 미국 FDA는 하루 콩 단백질 25g을 섭취하면 관상동맥질환이 예방될 만큼 기능성이 우수하다고 평가되고 있으며, 콩은 세계적인 식품으로 1,000여 가지의 용도로 이용되고 있다. 콩을 가공하여 만들어지는 두부는 콩 분말, 즉 Mesh 형태에 따라 두부의 종류가 분류되며, Nano기술을 도입하여 국산기계를 제작한 생산시스템으로 국산 콩 300 Mesh분말에 비소를 제거한 심층 해양수를 이용하여 단백질이 응고되는 원리와 침지과정이 생략되고 수용성 단백질과 불용성 단백질과 섬유소 기타 영양성분을 손실 없이 제품화 할 수 있는 전두부 제조 및 생산과정과 콩 분쇄기는 유분이 많은 국산 콩 뿐만 아니라 수입 콩 일반적인 농산물의 분쇄가 가능하여 두부식품발달에 미치는 영향을 연구하였다
Association between Genetic Variations of MERTK and Chronic Obstructive Pulmonary Disease in Koreans
김우진,박효진,최양지,권은영,김보민,이진화,장중현,이강지희,최지하 대한의학회 2018 Journal of Korean medical science Vol.33 No.7
Background: Chronic obstructive pulmonary disease (COPD) is a debilitating lung disease. To date, a large number of clinical studies have been conducted to investigate the association between genetic variations and COPD. However, little is known regarding the genetic susceptibility of Koreans to this disease. MER receptor tyrosine kinase (MERTK) plays important roles in the inhibition of inflammation and in the clearance of apoptotic cells. Here, we investigated the association between genetic variations in MERTK and the development of COPD in Koreans. Methods: We conducted genetic analysis of MERTK using genomic DNA samples from 87 patients with COPD and 88 healthy controls and compared the frequency of each variation or haplotype between the patient and control groups. Subsequently, the effect of each variation was evaluated using in vitro assays. Results: Ten variations were identified in this study, four of them for the first time. In addition, we found that the frequency of each variation or haplotype was comparable between the patient and control groups. However, we observed that the frequency for the wild-type haplotype was higher in the control group, compared to that in the group of patients with COPD, in the subgroup analysis of current smokers, although the difference was not statistically significant (P = 0.080). In in vitro assays, we observed that none of the variations affected the activity of the promoter or the expression of MERTK. Conclusion: Our findings indicate that the susceptibility to COPD is not related to the genetic variations or haplotypes of MERTK in Koreans.
Vibration Analysis of 300 mesh Soy Bean Crusher Based on Finite Element Method
프라타마 판두 산디,수페노 데스티아니,변재영,우지희,이은숙,남미경,황현지,키프 디마스 하리스 신,이강삼,최원식 한국산업융합학회 2017 한국산업융합학회 논문집 Vol.20 No.5
A machine such as bean crusher machine is subjected to different loads and vibration. Due to this vibration there will be certain deformations which affect the performance of the machine in adverse manner. This paper proposed a vibration analysis of bean crusher machine using ANSYS. The Finite Element Method (FEM) analysis is carried out to study the effect of vibration on the structure in order to ensure the safety. This work helps the machine developer make a better product at the early design stage with lower cost and faster development time. To do this, firstly, using Inventor, a CAD model is prepared. Secondly, the analysis is to be carried out using ANSYS 15. The modal analysis and random vibration analysis of the structure was conducted. The analysis shows that the proposed design was successfully shows the minimum deformation when the vibration was applied in normal condition.
최원식,프라타마 판두 산디,수페노 데스티아니,변재영,이은숙,우지희,양지웅,키프 디마스 하리스 신,크리스타 마이난다 브리기타,오케추쿠 나에메카 니콜라스,이강삼,Choi, Wonsik,Pratama, Pandu Sandi,Supeno, Destiani,Byun, Jaeyoung,Lee, Ensuk,Woo, Jihee,Yang, Jiung,Keefe, Dimas The Korean Society of Industry Convergence 2018 한국산업융합학회 논문집 Vol.21 No.5
In this research, the effect of normal load, sliding velocity, and texture density on thefriction coefficient of surfaces micro-textured on AISI 4140 under paraffin oil lubrication were investigated. The predicted tribological behavior by numerical calculation can be serves as guidance for the designer during the machine development stage. Therefore, in this research friction coefficient prediction model based on response surface methodology (RSM), support vector machine (SVM), and artificial neural network (ANN) were developed. The experimental result shows that the variation of load, speed and texture density were influence the friction coefficient. The RSM, ANN and SVM model was successfully developed based on the experimental data. The ANN model can effectively predict the tribological characteristics of micro-textured AISI 4140 in paraffin oil lubrication condition compare to RSM and SVM.