• Korean Chemical Engineering Research
• /
• v.61 no.2
• /
• pp.217-225
• /
• 2023

2,3-Butanediol (2,3-BDO), which is used in various fields such as cosmetics and fertilizers, is a high value-added substance and the demand for it is gradually increasing. 2,3-BDO produced from the fermentation of microorganisms not only contains by-products of fermentation, but also varies greatly in feed composition depending on fermentation conditions, so it is difficult to efficiently operate the separation process to reach the target purity of the product. Therefore, in this study, through dynamic optimization of the bio-based 2,3-BDO distillation process, the optimal control route was explored to control the 2,3-BDO concentration of the bottom product to 99 wt% or more, when feed concentration changes. Steady and dynamic state process simulation, proportional integral (PI) controller design, and dynamic optimization were sequentially performed. As a result, the error between the 2,3-BDO concentration and the set point of the bottom product was reduced by 75.2%.

• The Bulletin of The Korean Astronomical Society
• /
• v.46 no.2
• /
• pp.77.1-77.1
• /
• 2021

한국천문연구원은 천문우주분야의 과학임무 탑재체 개발을 주도적으로 수행해오고 있다. 과학기술위성1호 주탑재체 원자외선영상분광기 FIMS 개발, 과학기술위성3호 주탑재체 다목적적외선영상시스템 MIRIS 개발, 차세대소 형위성1호 주탑재체 근적외선영상분광기 NISS 개발을 수행하였고, 현재는 NASA와 국제협력으로 SPHEREx 우주 망원경을 개발하고 있다. 이러한 개발 과정을 거치면서 주경 20cm 이하의 소형 탑재체 과학임무 한계와 더불어 연구 현장에서 더 큰 우주망원경의 수요가 제기되었고, 현재의 국가우주개발 중장기계획에도 2030년대 한국형 우주망원경을 포함하게 되었다. 이러한 일정에 발맞추어 한국천문연구원은 2030년대 한국형 우주망원경 독자 운영을 대비하기 위해서 2020년 1월부터 주요 사업으로 한국형 우주망원경 개발을 위한 기획연구를 시작하였다. 이 기획연구는 2021년 말까지 2년 동안 수행하고 있으며, 이 기획연구를 통해서 학계의 과학임무 요구사항을 종합 수렴하였고, 관련 컨설팅 업체와 협업하여 사전 기획연구 활동들을 수행하였으며, 향후 우주망원경 개발에 대한 전략을 제안하고 보고서를 마무리하는 단계에 와 있다. 이 발표에서는 이러한 기획연구의 세부 활동을 공유하고 보고하고자 한다.

• Journal of the Microelectronics and Packaging Society
• /
• v.30 no.2
• /
• pp.33-42
• /
• 2023

Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.

• Korean Journal of Social Welfare Studies
• /
• v.41 no.1
• /
• pp.145-173
• /
• 2010

The purpose of this study is to verify that several theories explaining the determinants of welfare expenditure is applied to the family policy expenditure and to find out if there' re unique determinants of the family policy expenditure. We analyzed the data (OECD 14 countries for 1980~2005) by pooled time series analysis. As for industrialization theory, female labor force participation rate has positive effect on family policy expenditure while population under 15-year children has negative effect, which refers to the demand of family policies is that of female workers, not children's. Power resource theory is applied to the determinants of family policy expenditure as those of welfare expenditure. Women's political & economic empowerment has partly positive effects on family policy expenditure, which is the evidence of the effectiveness of feminist theory. In the institutional theory, we verified the effect of policy legacy but couldn't find out the crowding-out effect. The theoretical implication of this study is the empirical verification of the theories explaining the determinants of welfare expenditure being applied to the family policy expenditure. We also suggested the political and institutional foundation to effectively respond to the new social risks in spite of budget constraints, which can be a policy implication.

• Journal of Food Hygiene and Safety
• /
• v.39 no.3
• /
• pp.209-220
• /
• 2024

Cavier is graded as Beluga, Osetra, and Sevruga based on the species of sturgeon (Acipenser sinensis). In this study, we developed an analytical method for determining the grade of black caviar using DNA barcodes and KASP markers. To identify the sturgeon species, ten black caviar samples were collected, and a reference DNA barcode library was developed using five genes (namely, 16S ribosomal RNA, cytochrome b, cytochrome c oxidase subunit I, cytochrome c oxidase subunit II, and NADH dehydrogenase subunit 5 genes). To develop the KASP markers, we selected 11 markers that could distinguish between the five grades of black caviar. As a result, specific markers for each of the targeted caviars were clustered into FAM-positive sections. DNA barcoding and the KASP assay revealed that one Beluga, six Osetra, and three Sevruga were identified among the ten caviar samples. Moreover, we found that the sturgeon species were mislabeled in two products. Here, we aimed to develop a KASP assay based on SNP that allows rapid and easy identification of caviar grade. These methods are expected to contribute to preventing the distribution of illegal products.

• Water for future
• /
• v.28 no.6
• /
• pp.147-158
• /
• 1995

The purpose of this study is to establish a method of estimating the daily urban water demand using statistical model. This method will be used for the development of the efficient management and operation of the water supply facilities. The data used were the daily urban water use, the population, the year lapse and the weather conditions such as temperature, precipitation, relative humidity, etc. Kwangju city was selected for the case study area. The raw data used in this study were rearranged either by month or by season for the purpose of analysis, and the statistical analysis was applied to the data to obtain the regression model. As a result, the multiple linear regression model was developed to estimate the daily urban water use based on the seather condition. The regression constant and the model coefficients were determined for each month of a year. The accuracy of the model was within 3% of average error and within 10% of maximum error. The developed model was found to be useful to the practical operation and management of the water supply facilities.

• The Korean Journal of Food And Nutrition
• /
• v.29 no.4
• /
• pp.465-473
• /
• 2016

This study was conducted in order to investigate the antioxidant capabilities and quality characteristics of instant porridge made of foxtail millet (Setaria italica Beauv.) from different varieties with different endosperm characteristics and processing using different methods. The two foxtail millet varieties used in this study were waxy foxtail millet, 'Samdachal', and non-waxy foxtail millet, 'Samdame'. The means of processing food to create instant porridge were dry cereal frying, wet cereal frying, freeze drying after steaming, popping, and no treatment. The WAI (water absorption index) of instant porridge made of waxy foxtail millet was higher than that of non-waxy foxtail millet, and popping created the highest WAI among the treatments tested. Whean we analyzed RVA characteristics of non-waxy foxtail millet instant porridge, peak viscosity and setback values were decreased in all processed foxtail millet instant porridge compared to non-waxy foxtail millet instant porridge. In waxy foxtail instant porridge, the peak and final viscosities of processed treated instant porridge increased. The viscosity just after pouring hot water into the instant porridge was higher in waxy foxtail millet porridge treated by freeze drying after steaming, popping, and wet cereal frying; the viscosity of non-waxy foxtail porridge was increased after popping as compared with the other treatments. The polyphenol contents and antioxidant activities were increased in all processed, treated-instant porridge except for freeze dried porridge after steamingnt. The popping treatment showed the highest polyphenol contents (1.5 fold), and ABTS antioxidant activity (1.2 fold), compared to no treatment. Non-waxy foxtail millet porridge produced by popping earned the highest sensory evaluation scores.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.60 no.2
• /
• pp.217-223
• /
• 2015

This study was conducted to serve as a basis for establishing a stable production of proso millet on the rotational paddy-upland field by looking out the physicochemical and moisture characteristics of soil and the growth characteristics of proso millet by ridge width. Plant height showed Manhongchal was the smallest 71.3 cm in 240 cm wide of ridge in the first year, Ibeakchal was the highest 69.7 cm in 60 cm wide in the second year, Hwanggeumchal was the highest 72.8 cm in 60 cm wide in the first year. The retention time of the excess water in the soil during cultivation was extended wider the width of ridge. The variation width of the water content was higher by the wider the width of ridge. Yield components showed the longest ear length were 35.1 cm of Manhongchal, 34.8 cm of Ibeakchal in 60 cm wide of ridge in the first year. As the width of ridge extended, ear weight of all variety increased. 1,000 seed weight of the 60 cm wide of ridge was Manhongchal 6.8%, Ibeakchal 46.2% heavier than the 240 cm wide of ridge. Yield showed Manhongchal 221, Ibeakchal 223, Hwanggeumchal $225kg{\cdot}10a^{-1}$ in 60 cm wide of ridge in the first year. The similar pattern of amount showed Manhongchal 278, Ibeakchal 221, Hwanggeumchal $200kg{\cdot}10a^{-1}$ in 60 cm wide of ridge in the second year. This showed Manhongchal 103%, Ibeakchal 119%, Hwanggeumchal 85.2% was more than the 240 cm wide of ridge.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.60 no.2
• /
• pp.212-216
• /
• 2015

This study was conducted to evaluate effects of planting densities ($60{\times}10cm$, $60{\times}15cm$, $60{\times}20cm$) and PE mulching (polyethylene film mulching, non-mulching) on growth and yield of proso millet in drained paddy field for 2 years. In PE plots, culm length, culm diameter and fresh weight were higher than non-mulching plot. Additionally, spike length and seed weight per hill were also higher in PE plot but thousand seed weight was weightier in non-mulching plot. The yield of proso millet were increased with 10.0% and 15.5% at PE plot in 1st and 2nd, respectively. Culm diameter was thickest at $60{\times}20cm$ plot with 8.43 mm in 2nd however, culm length was longest at $60{\times}10cm$ plot with 130, 142 cm in 1st and 2nd, respectively. Plant height was higher by the increase of planting density. As plant density decreased, that spike length and seed weight per hill were increased. Yield of planting density were highest at $60{\times}15cm$ plot $265kg{\cdot}h10a^{-1}$, $253kg{\cdot}10a^{-1}$ yearly, respectively that it were in order of $60{\times}15cm$ plot > $60{\times}10cm$ plot > $60{\times}20cm$ plot.

• Journal of Intelligence and Information Systems
• /
• v.20 no.4
• /
• pp.1-23
• /
• 2014

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.