• Korean Journal of Community Nutrition
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• v.22 no.5
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• pp.426-440
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• 2017

Objectives: The valid assessment of food and nutrients intakes using appropriate dietary intake method is necessary to improve the nutritional status of the hemodialysis (HD) patients. This study was conducted to compare the method between newly developed, semi-quantitative food frequency questionnaire (Semi-FFQ) and 7-day dietary records (7-DRs) for hemodialysis patients. Methods: We conducted both methods on 53 maintenance HD patients in two university hospitals. We calibrated the frequency, portion size and daily intake of 47 food items reported in Semi-FFQ. The food and nutrients intake was compared and the correlation of the two methods was analyzed. Also each nutrient intake was compared to recommended dietary allowance for Korean (KDRIs) and recommended nutrient reference value for HD patients. Results: Energy and energy-yielding nutrients intakes were significantly higher in the two methods (p<0.01). These support the possible reliability between Semi-FFQ and 7-DRs that is similar with regard to most mineral and vitamin intakes. Thus, the Semi-FFQ used in this study for the assessment of nutrient intakes of HD patients can be reliable for the assessment of the nutrient intake along with the 7-DRs. The correlation coefficients were higher for foods consumed daily, such as steamed rice, meat and chicken, bean, egg, milk, coffee and alcohol than for those of foods eaten rarely (p<0.01). Conclusions: The Semi-FFQ used in this study can be a reliable tool for the assessment of the HD patients' nutrient intake along with the 7-DRs, despite its limitations.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.433-440
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• 2014

In this study, a method for the low-carbon active distribution system (ADS) planning is proposed. It takes into account the impacts of both network capacity and demand correlation to the renewable energy accommodation, and incorporates demand response (DR) as an available resource in the ADS planning. The problem is formulated as a mixed integer nonlinear programming model, whereby the optimal allocation of renewable energy sources and the design of DR contract (i.e. payment incentives and default penalties) are determined simultaneously, in order to achieve the minimization of total cost and $CO_2$ emissions subjected to the system constraints. The uncertainties that involved are also considered by using the scenario synthesis method with the improved Taguchi's orthogonal array testing for reducing information redundancy. A novel cuckoo search (CS) is applied for the planning optimization. The case study results confirm the effectiveness and superiority of the proposed method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.39-44
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• 2015

The VHTR (Very High Temperature gas-cooled nuclear Reactor) has been considered as a major heat source and the most safe generation IV type reactor for mass hydrogen production to prepare for the hydrogen economy era. The VHTR satisfies goals for the GIF (Generation IV International Forum) policy such as sustainablility, economics, reliability and proliferation resistance and physical protection, and safety. As a part of a VHTR economic analysis, we have studied the VHTR construction cost and operation and maintenance cost. However, it is somewhat difficult to expect the ripple effect on the whole industry due to the lack of information about Inter-industries relationship. In many case, the ripple effect are based on experts' knowledge or uncertain qualitative assumptions. As a result, we propose quantitative analysis techniques for ripple effects such as the production inducement effect, added value inducement effect, and employment inducement effect for VHTR 600MWt${\times}$4 modules construction and operation ripple effect based on NOAK (Nth Of A Kind). Because inducement effect values have been published annually, we predict inducement effect's relation function and estimated values including production inducement effect value, added value inducement effect value, and employment inducement effect value using time series and estimated values are verified with published inducement effects' value. This paper presents a new method for the ripple effect and preliminary ripple effect consequence using a time series analysis and inter-industry table. This ripple effect analysis techniques can be applied to effect expectation analysis as well as other type reactor's ripple effect analysis including VHTR for process heat.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.33-38
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• 2021

In order to manufacture a lightweight medical radiation shielding sheet, a new shielding material was studied. We tried to verify the possibility of a shielding material by mixing egg shell powder, which is thrown away as food waste at home, with a polymer material. Existing lightweight materials satisfy eco-friendly conditions, but there are difficulties in the economics of shielding materials due to the cost of the material refining process. This study aims to solve this problem by using egg shells, which are household waste. A 3 mm-thick shielding sheet was fabricated using HDPE, a polymer material, and particle distribution within the cross-section of the shielding sheet was also verified. The shape of the particles was rough and there were voids between the particles, and the average weight per unit area was 1.5 g/cm². The shielding performance was around 20% in the low energy area and 10% in the high energy area, showing the possibility of a low-dose medical radiation shielding body.

• Korean Journal of Community Nutrition
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• v.27 no.5
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• pp.422-434
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• 2022

Objectives: With an increase in the population of the elderly in Korea, their nutritional status has become a cause for concern. This study was designed to compare the nutritional intake and health status of the Korean elderly according to their body mass index. Methods: The subjects were 3,274 elderly people aged 65 and above who had participated in the 2016-2018 Korea National Health and Nutrition Examination Survey. The subjects were divided into four groups: underweight, normal, overweight, and obese, based on their BMI. The general characteristics, daily energy, and nutrient intakes, nutrient intakes compared to the recommended nutrient intake, percentage of participants whose nutrient intake was lower than the estimated average requirement (EAR), index of nutrient quality, the mean adequacy ratio (MAR), intakes by food group, and health status of the four groups were compared. Results: Underweight elderly people showed lower energy, lipids, dietary fiber, vitamin C, riboflavin, niacin, phosphorus, sodium, and potassium intake and MAR score (P < 0.001) compared to the normal or obese elderly. The mean protein, riboflavin, niacin, vitamin C, phosphorus, and iron intake of the underweight elderly was lower than the EAR (P < 0.05). Underweight elderly people also had a lower intake of vegetables and fats, oil and sweets food groups than the other groups (P < 0.001). The prevalence of diabetes and dyslipidemia was higher in the obese group, but the percentage of anemia was higher in the underweight group. Conclusions: Underweight elderly people were vulnerable to undernutrition and were at a higher risk of anemia.

• Clean Technology
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• v.28 no.2
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• pp.182-192
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• 2022

This study provides an overview of the production costs of methane and hydrogen via water electrolysis-based hydrogen production followed by a methanation based methane production technology utilizing CO₂ from external sources. The study shows a comparative way for economic optimization of green methane generation using excess free electricity from renewable sources. The study initially developed the overall process on the Aspen Plus simulation tool. Aspen Plus estimated the capital expenditure for most of the equipment except for the methanation reactor and electrolyzer. The capital expenditure, the operating expenditure and the feed cost were used in a discounted cash flow based economic model for the methane production cost estimation. The study compared different reactor configurations as well. The same model was also used for a hydrogen production cost estimation. The optimized economic model estimated a methane production cost of $11.22/mcf when the plant is operating for 4000 hr/year and electricity is available for zero cost. Furthermore, a hydrogen production cost of $2.45/GJ was obtained. A sensitivity analysis was performed for the methane production cost as the electrolyzer cost varies across different electrolyzer types. A sensitivity study was also performed for the changing electricity cost, the number of operation hours per year and the plant capacity. The estimated levelized cost of methane (LCOM) in this study was less than or comparable with the existing studies available in the literature.

• Clean Technology
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• v.29 no.1
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• pp.53-58
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• 2023

This study shows the summary of the economic performance of excess electricity conversion to hydrogen as well as methane and returned conversion to electricity using a fuel cell. The methane production process has been examined in a previous study. Here, this study focuses on the conversion of methane to electricity. As a part of this study, capital expenditure (CAPEX) is estimated under various sized plants (0.3, 3, 9, and 30 MW). The study shows a method for economic optimization of electricity generation using a fuel cell. The CAPEX and operating expenditure (OPEX) as well as the feed cost are used to calculate the discounted cash flow. Then the levelized cost of returned electricity (LCORE) is estimated from the discounted cash flow. This study found the LCORE value was ¢10.2/kWh electricity when a 9 MW electricity generating fuel cell was used. A methane production plant size of 1,500 Nm³/hr, a methane production cost of $11.47/mcf, a storage cost of $1/mcf, and a fuel cell efficiency of 54% were used as a baseline. A sensitivity analysis was performed by varying the storage cost, fuel cell efficiency, and excess electricity cost by ±20%, and fuel cell efficiency was found as the most dominating parameter in terms of the LCORE sensitivity. Therefore, for the best cost-performance, fuel cell manufacturing and efficiency need to be carefully evaluated. This study provides a general guideline for cost performance comparison with LCORE.

• Advances in nano research
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• v.15 no.5
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• pp.401-410
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• 2023

Vibration investigation of fluid-filled three layered cylindrical shells is studied here. A cylindrical shell is immersed in a fluid which is a non-viscous one. Shell motion equations are framed first order shell theory due to Love. These equations are partial differential equations which are usually solved by approximate technique. Robust and efficient techniques are favored to get precise results. Employment of the wave propagation approach procedure gives birth to the shell frequency equation. Use of acoustic wave equation is done to incorporate the sound pressure produced in a fluid. Hankel's functions of second kind designate the fluid influence. Mathematically the integral form of the Lagrange energy functional is converted into a set of three partial differential equations. It is also exhibited that the effect of frequencies is investigated by varying the different layers with constituent material. The coupled frequencies changes with these layers according to the material formation of fluid-filled FG-CSs. Throughout the computation, it is observed that the frequency behavior for the boundary conditions follow as; clamped-clamped (C-C), simply supported-simply supported (SS-SS) frequency curves are higher than that of clamped-simply (C-S) curves. Expressions for modal displacement functions, the three unknown functions are supposed in such way that the axial, circumferential and time variables are separated by the product method. Computer software MATLAB codes are used to solve the frequency equation for extracting vibrations of fluid-filled.

• Ocean and Polar Research
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• v.34 no.4
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• pp.365-384
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• 2012

Microalgae are photosynthetic microorganisms that are highly productive in the presence of basic renewable natural sources (light, $CO_2$, water and nutrients). They can synthesize lipids, carbohydrates and proteins in a small number of days. Subsequently, these carbon-captured products can be processed into both biofuels and valuable co-products. Additionally, microalgae would be an ideal feedstock for replacing land-based food crops with cellular products as high energy density transportation fuels. These microscopic organisms could contribute a significant amount of renewable energy on a global scale. In Korea, microalgae biofuel research was common in the early 1990s. The research activities were unfortunately stopped due to limited governmental funds and low petroleum prices. Interest in algal biofuels in Korea has been growing recently due to an increased concern over oil prices, energy security, greenhouse gas emissions, and the potential for other biofuel feedstock to compete for limited agricultural resources. The high productivity of microalgae suggests that much of the Korean transportation fuel requirements can be met by biofuels at a production cost competitive with the increasing cost of petroleum seen in early 2008. At this time, the development of microlalgal biomass production technology remains in its infancy. This study reviewed microalgae culture systems and biomass production, harvesting, oil extraction, conversion, and technoeconomical bottlenecks. Many technical and economic barriers to using microalgal biofuels need to be overcome before mass production of microalgal-derived fuel substitutes is possible. However, serious efforts to overcome these barriers could become a large-scale commercial reality. Overall, this study provides a brief overview of the past few decades of global microalgal research.

• Korean Journal of Food Science and Technology
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• v.31 no.1
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• pp.212-218
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• 1999

The effects of gamma irradiation (1, 3 and 5 kGy) and packaging methods (air and vacuum) on the growth of microorganisms contaminated in beef was investigated during storage at different temperatures (-20, 4 and $25^{\circ}C$). The initial microbial population of beef was $8.0{\sim}10^2\;CFU/g$ in total aerobic bacteria, $2.0{\times}10^2\;CFU/g$ in total lactic acid bacteria, $8.0{\times}10^1\;CFU/g$ in molds, $6.0{\times}10^2\;CFU/g$ in Pseudomonas sp. and $7.0{\times}10^2\;CFU/g$ in coliforms, respectively. Gamma irradiation at 5 kGy completely eliminated pathogenic bacteria in beef. Gamma irradiation at such dose and subsequent storage at less than $4^{\circ}C$ could ensure hygienic quality prolong the microbiological shelf-life resulting from the reduction of spoilage microorganisms. The different packaging methods of beef caused negligible changes in the growth of microorganisms during storage.