• Journal of the Society of Cosmetic Scientists of Korea
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• v.42 no.1
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• pp.75-85
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• 2016

Pectin, a naturally occurring polysaccharide, has in recent years attracted considerable attention. Its benefits are increasingly appreciated by scientists and consumers due to its safety and usefulness. The chemistry and gel-forming characteristics of pectin have enabled to be used in pharmaceutical industry, health promotion and treatment. Yet, it has been rarely used in cosmetics because of its incompatibility with many cosmetic ingredients, including alcohols, and unstable viscosity of pectin gels under various pH and salt conditions. However, low-molecular-weight pectin oligomers have excellent biological activities, and depolymerization of pectin to produce cosmetic ingredients would be very useful. In this study, we attempted the development of cosmetic ingredients using pectin with an excellent effect on human skin. We developed a bio-conversion process that uses enzymatic hydrolysis to produce pectin hydrolysates containing mainly low-molecular-weight pectin oligomers. Gel permeation chromatography was used to determined the ratio of hydrolysis. The molecular weight of the pectin hydrolysates obtained varied between 200 and 2,700 Da. The two newly developed low-molecular-weight pectin hydrolysates, LMPH A and B, had higher anti-oxidative activities than pectin or D-galacturonic. Exposure to UVB radiation induces apoptotic cell death in epidermal cells. Annexin V binding and propidium iodide uptake were measured by flow cytometry to evaluate UVB-induced cell death in HaCaT cells. Both LMPH A and B reduced UVB-induced cell death and increased cell proliferation by 22% and 30% at 0.5% concentration respectively, while pectin had no significant activity. In conclusion, this study suggests that the newly developed low-molecular-weight pectin hydrolysates can be used as safe and biologically active cosmetic ingredients.

• Journal of IKEEE
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• v.25 no.3
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• pp.493-500
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• 2021

In this paper, we propose the development of deep learning structure to improve quality of polygonal containers. The deep learning structure consists of a convolution layer, a bottleneck layer, a fully connect layer, and a softmax layer. The convolution layer is a layer that obtains a feature image by performing a convolution 3x3 operation on the input image or the feature image of the previous layer with several feature filters. The bottleneck layer selects only the optimal features among the features on the feature image extracted through the convolution layer, reduces the channel to a convolution 1x1 ReLU, and performs a convolution 3x3 ReLU. The global average pooling operation performed after going through the bottleneck layer reduces the size of the feature image by selecting only the optimal features among the features of the feature image extracted through the convolution layer. The fully connect layer outputs the output data through 6 fully connect layers. The softmax layer multiplies and multiplies the value between the value of the input layer node and the target node to be calculated, and converts it into a value between 0 and 1 through an activation function. After the learning is completed, the recognition process classifies non-circular glass bottles by performing image acquisition using a camera, measuring position detection, and non-circular glass bottle classification using deep learning as in the learning process. In order to evaluate the performance of the deep learning structure to improve quality of polygonal containers, as a result of an experiment at an authorized testing institute, it was calculated to be at the same level as the world's highest level with 99% good/defective discrimination accuracy. Inspection time averaged 1.7 seconds, which was calculated within the operating time standards of production processes using non-circular machine vision systems. Therefore, the effectiveness of the performance of the deep learning structure to improve quality of polygonal containers proposed in this paper was proven.

• Journal of Venture Innovation
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• v.4 no.1
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• pp.51-65
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• 2021

The HR policy in the public sector was closed and operated mainly on written tests, but in 2006, a new evaluation, promotion and education system based on competence was introduced in the promotion and selection system of civil servants. In particular, the seniority-oriented promotion system was evaluated based on competence by operating an Assessment Center related to promotion. Competency evaluation is known to be the most reliable and valid evaluation method among the evaluation methods used to date and is also known to have high predictive feasibility for performance. In 2001, 19 government standard competency models were designed. In 2006, the competency assessment was implemented with the implementation of the high-ranking civil service team system. In the public sector, the purpose of the competency evaluation is mainly to select third-grade civil servants, assign fourth-grade civil servants, and promotion fifth-grade civil servants. However, competency assessments in the public sector differ in terms of competency assessment objectives, assessment processes and competency assessment programmes compared to those in the private sector. For the purposes of competency assessment, the public sector is for the promotion of candidates, and the private sector focuses on career development and fostering. Therefore, it is not continuously developing capabilities than the private sector and is not used to enhance performance in performing its duties. In relation to evaluation items, the public sector generally operates a system that passes capacity assessment at 2.5 out of 5 for 6 competencies, lacks feedback on what competencies are lacking, and the private sector uses each individual's competency score. Regarding the selection and operation of evaluators, the public sector focuses on fairness in evaluation, and the private sector focuses on usability, which is inconsistent with the aspect of developing capabilities and utilizing human resources in the right place. Therefore, the public sector should also improve measures to identify outstanding people and motivate them through capacity evaluation and change the operation of the capacity evaluation system so that they can grow into better managers through accurate reports and individual feedback

• KSBB Journal
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• v.24 no.6
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• pp.508-514
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• 2009

This study investigated the production of catalase from Bul-kyo soil bacteria through fermentation process. Isolation and selection of bacteria was performed through chemical and physiological analysis. Catalases were produced from bacteria which belong to 3 different species (Bacillaceae bacterium BKBChE-1, Bacillus sp. BKBChE-2, Bacillus flexus BKBChE-3) confirmed by using 16S rDNA sequence method. The catalases were found to be stable in the temperature range of $30^{\circ}C-60^{\circ}C$ for BKBChE-1, BKBChE-2 and BKBChE-3 and also in the pH range of 9.0-12.0 for BKBChE-1 and BKBChE-3. Long-term stability of the catalases was about 20 days at $4^{\circ}C$. However, BKBChE-2 has kept its activity over 30 days at $4^{\circ}C$.

• Resources Recycling
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• v.21 no.5
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• pp.31-37
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• 2012

As a recovery of elemental silicon from the sludge of Si wafer process, a process of mechanical separation-chlorine roasting-electrolysis has been suggested. The silicon sludge consisted of Si, SiC, machine oil, and metallic impurities. The oil and metal impurities was removed by mechanical separation. The Si-SiC mixture was converted to silicon chloride by chlorine roasting at $1000^{\circ}C$ for 1 hr and the silicon chloride was dissolved into an ionic liquid of $[Bmpy]Tf_2N$ as an electrolyte. Cyclic voltammetry results showed an wide voltage window of pure $[Bmpy]Tf_2N$ and a reduction peak of elemental Si from $[Bmpy]Tf_2N$ dissolved $SiCl_4$ on Au electrode, respectively. The silicon deposits could be prepared on the Au electrode by the potentiostatic electrolysis of -1.9 V vs. Pt-QRE. The elemental silicon uniformly electrodeposited was confirmed by various analytical techniques including XRD, FE-SEM with EDS, and XPS. Any impurity was not detected except trace oxygen contaminated during handling for analysis.

• 대한공업교육학회지
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• v.36 no.2
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• pp.1-23
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• 2011

The purpose of the study was to investigate the generality and applicability of Team-Based Learning model in a technical high school, based on the interviews with students and a teacher. Team-Based Learning model seems to be an effective way in improving the performance of groups as well as the individualized learning and team interaction. We applied a formative research method and identified the strengths of the model including learners' motivation and interests, learner-centered learning, self-efficacy through learning in advance, and concept acquisition from the repetitive learning process. However, we also found the weakness of the model including impracticality of instructional design, a lack of field-oriented problem banks, and needs for identifying learner characteristics and role in instruction. Finally, we analyzed the implications for the Team-Based Learning in the technical high schools in light of team formation, discussion types, active participation, and learners' prior knowledge and attitude, and pre-determined instructional design.

• Journal of Korean Tunnelling and Underground Space Association
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• v.15 no.6
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• pp.613-623
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• 2013

As Limestone mines have been operated with various environmental, societal and managemental problems depending on their characteristics and developing methods, many great efforts have been applied to solve these problems. Installing the mining facilities underground is one of the successful efforts to keep the sustainable limestone mine development. This effort could reduce these problems. However, unfortunately it made an side effect of constructing a large underground space in mining site. Moreover, this space caused a necessity of various disaster managements for the safety of workers and facilities. This study introduces the priority list of a limestone mining process if there are disasters in underground mining site. This result is coming from the risk assessment and business impact analysis on survey data which were obtained from the miners of that particular limestone mine. According to the result, the highest risk is 'disregard of safety guidelines in crushing & classifier process'. The result also shows the highest priority business, above all things, is 'a pit linked work of in & out process'.

• Microbiology and Biotechnology Letters
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• v.37 no.4
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• pp.355-360
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• 2009

In this study, the arylsulfatase gene (astA, 984 bp ORF) from Pseudoalteromonas carrageenovora genome was expressed on the cell surface of S. cerevisiae by fusing with Aga2p linked to the membrane anchored protein, Aga1p. The constructed plasmid, pCTAST (7.1 kb), was introduced to S. cerevisiae EBY100 cell, and yeast transformants on YPDG plate showed the hydrolyzing activity for 4-methylumbelliferyl-sulfate and p-nitrophenyl-sulfate. When S. cerevisiae EBY100/pCTAST was grown on YPDG medium, the arylsulfatase activity of cell pellet reached about 1.2 unit/mL, whereas no extracellular arylsulfatase activity was detected. The DNA ladder in agarose prepared from agar by this recombinant arylsulfatase showed similar resolution and migration patterns with a commercial agarose. This results revealed that arylsulfatase expressed on the cell surface of S. cerevisiae could be applicable to the economic production of electrophoretic-grade agarose.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.124-124
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• 2018

본 연구는 국내 생약중 도라지를 포함, 인삼, 당귀, 생강, 마 5가지를 선별하여 각 원물별로 항산화 활성 가장 높은 기준으로 증숙시킨 조건의 흑도라지, 흑삼, 흑당귀, 흑생강, 흑마를 확보하였다. 증숙시킨 5가지 생약은 다시 혼합 추출(BMHE; Black Mixed Herbal Extract)하여 증숙하지 않은 생약 혼합 추출물(MHE; Mixed Herbal extract)과 항산화, 항염 및 항알러지 활성을 비교하여 증숙공정이 생약의 생리활성에 미치는 긍정적인 영향을 바탕으로 피부향장 소재로 활용가능성을 확인하고자 연구하였다. 실험은 MHE와 BMHE를 각각 50% Ethyl alcohol로 추출하여 감압농축하여 생리활성을 평가하였으며, MHE와 BMHE 추출물에 대한 세포생존률을 확인한 결과 $1,000{\mu}g/ml$의 농도에서 각각 89.4%와 95.3%의 세포생존률을 보임에 따라 $1,000{\mu}g/ml$ 이하의 농도에서 HME와 BMHE 모두 세포독성이 거의 적은 것을 확인하였다. DPPH radical scavenging effects 항산화 활성에 대하여 MHE와 BMHE을 비교한 결과 농도 의존적으로 항산화 활성을 보였으며 $1,000{\mu}g/ml$의 농도에서는 각각 66.8%와 74.2%의 라디칼 소거능을 확인하였다. NO assay로부터 항염활성을 비교한 결과에서도 MHE와 BMHE 모두 농도 의존적으로 NO의 함량 감소시켰으며 $1,000{\mu}g/ml$로 처리한 농도에서는 59.5%와 64.7%의 억제율을 각각 보임에 따라 항염 효과도 우수한 것을 확인하였다. 항알레르기 효능 실험 중 하나인 5-LO 억제효능을 측정하여 ME와 BME의 항알러지 효능을 측정한 결과 상기의 결과와 마찬가지로 농도 의존적으로 5-Lipoxygenase를 억제하였으며, $1,000{\mu}g/ml$의 농도로 MHE와 BMHE를 처리하였을 시 5-Lipoxygenase 효소활성에 대하여 각각 76.2%와 83.5%의 높은 억제율을 확인 하였다. 이는 양성대조군인 EGCG를 $200{\mu}g/ml$의 농도로 처리한 9.10%에 근접한 억제율을 보임에 따라 항알러지 효과가 우수한을 확인할 수 있었다. 실험 결과를 바탕으로 BMHE가 MHE보다 항산화, 항염, 항알러지 활성이 우수한 것을 확인 할 수 있었으며, 이는 증숙기법이 생약의 생리활성을 높여주는 것은 물론 더 나아가 본 연구를 통해 확보된 5가지 흑도라지, 흑삼, 흑당귀, 흑생강, 흑마는 향후 피부향장 소재로 활용이 용이할 것으로 사료된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.185-195
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• 2018

As machines have been automated in the field of industries in recent years, it is a paramount importance to manage and maintain the automation machines. When a fault occurs in sensors attached to the machine, the machine may malfunction and further, a huge damage will be caused in the process line. To prevent the situation, the fault of sensors should be monitored, diagnosed and classified in a proper way. In the paper, we propose a sensor fault detection scheme based on SVM and CNN to detect and classify typical sensor errors such as erratic, drift, hard-over, spike, and stuck faults. Time-domain statistical features are utilized for the learning and testing in the proposed scheme, and the genetic algorithm is utilized to select the subset of optimal features. To classify multiple sensor faults, a multi-layer SVM is utilized, and ensemble technique is used for CNN. As a result, the SVM that utilizes a subset of features selected by the genetic algorithm provides better performance than the SVM that utilizes all the features. However, the performance of CNN is superior to that of the SVM.