• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.87-92
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• 2019

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, machine learning based approach uses historical data and calculate the result effectively. Although rule-based approach calculates energy usage with the physical equations, it is hard to identify the exact equations that represent the factory's characteristics and hidden variables affecting the results. Whereas the machine learning approach is relatively useful to find the relations quickly between the data. The factory has several components directly affecting to the electricity consumption which are machines, light, computers and indoor systems like HVAC (heating, ventilation and air conditioning). The energy loads from those components are generated in real-time and these data can be shown in time-series. The various sensors were installed in the factory to construct the database by collecting the energy usage data from the components. After preliminary statistical analysis for data mining, time-series clustering techniques are applied to extract the energy load pattern. This research can attributes to develop Factory Energy Management System (FEMS).

• The Journal of the Acoustical Society of Korea
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• v.40 no.1
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• pp.92-98
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• 2021

The noise management in the interior of the power plant is difficult because the interior is large and the noise level varies greatly from location to location. Therefore, a noise visualization system capable of analyzing the noise distribution is required in order to effectively manage the interior noise. A noise mapping system was developed that can model the inside of the turbine room and create a noise map by measuring the noise level at selected points. And in order to increase the reliability of the model, the model was modified through a method of comparing the noise map and the actual noise measurement results. Facility abnormalities can be determined through regular analysis of noise maps, and a method of effectively managing the interior noise is presented by comparing and analyzing the frequencies and levels of the current and previous noise at a specific point. By using the mapping system, it is possible to establish noise countermeasures that can improve the working environment, check the machine for abnormalities, and increase the reliability of the facility through preventive maintenance.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.9-15
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• 2020

As of 2018, total yield of lettuce and strawberry amounted to 93,543 tons (representing 1.0 percent) and 183,639 tons (2.0 percent), respectively, among total yields worth 9,185,889 tons in South Korea. Lettuce is affected by a combination of numerous elements such as varieties, cultivation methods and pests during each growth phase (Lee et al., 1999). It is mainly cultivated in spring and fall. Especially due to respiration rate after harvest leading to reduced quality and poor storage, maintaining annual supply is unavailable (Jang et al., 2018). With the distribution of new varieties, forcing culture and indoor insulated facilities for plant cultivation during winter, strawberries are produced every year except for late summer and early fall. Due to active respiration, transpiration, soft flesh and high water content, the fruit is vulnerable to go bad and got rotten compared to other fruits. Furthermore, it is difficult to maintain freshness due to the possibility of softening, discoloration and fungi (Lee et al., 2012). In this regard, developing improved storage and package techniques is needed to ensure maintaining quality and safety even just two to three days after harvest. In order to ensure improved quality and safety of strawberries and lettuce after harvest, the present study applied a modified atmosphere packaging (MAP) technology (Mostofi et. al., 2008). Going forward, it compared the quality and safety of the two products while being stored in a way that put them in an MAP-applied container and a plastic container at room temperature and 4 degree Celsius.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.1-14
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• 2022

This study aims to identify topics in newspaper articles related to fine particle matter and to investigate the characteristics and time series trend of each topic. Related national newspaper articles during 1990 and 2021 were collected from Bigkinds. A total of 18 topics have been discovered using LDA, and 11 clusters deduced from clustering. Hot topics include related products/residence, overseas cause(China), power plant as a domestic cause, nationwide emergency reduction measures, international cooperation, political issues, current situation & countermeasure in other countries, and consumption patterns. Cold topics include the concentration standard and indoor air quality improvement. These findings would be useful in inferring the political direction and strategies. In particular, the consumer protection policy should be expanded as the related market is growing. It will also be necessary to pursue policies that will promote public safety and health, and that will enhance public consensus and international cooperation.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.5
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• pp.80-88
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• 2020

With the issuance of one-week fine dust emergency reduction measures in March 2019, the public's anxiety about fine dust is increasingly growing. In order to assess the application of air purifying plant-based bio-filters to public facilities, this study presented a method for measuring pollutant reduction effects by creating an indoor environment for continuous discharge of particle pollutants and conducted basic studies to verify whether indoor air quality has improved through the system. In this study conducted in a lecture room in spring, the background concentration was created by using mosquito repellent incense as a pollutant one hour before monitoring. Then, according to the schedule, the fine dust reduction capacity was monitored by irrigating for two hours and venting air for one hour. PM₁₀, PM_2.5, and temperature & humidity sensors were installed two meters front of the bio-filters, and velocity probes were installed at the center of the three air vents to conduct time-series monitoring. The average face velocity of three air vents set up in the bio-filter was 0.38±0.16 m/s. Total air-conditioning air volume was calculated at 776.89±320.16㎥/h by applying an air vent area of 0.29m×0.65m after deducing damper area. With the system in operation, average temperature and average relative humidity were maintained at 21.5-22.3℃, and 63.79-73.6%, respectively, which indicates that it satisfies temperature and humidity range of various conditions of preceding studies. When the effects of raising relatively humidity rapidly by operating system's air-conditioning function are used efficiently, it would be possible to reduce indoor fine dust and maintain appropriate relative humidity seasonally. Concentration of fine dust increased the same in all cycles before operating the bio-filter system. After operating the system, in cycle 1 blast section (C-1, β=-3.83, β=-2.45), particulate matters (PM₁₀) were lowered by up to 28.8% or 560.3㎍/㎥ and fine particulate matters (PM_2.5) were reduced by up to 28.0% or 350.0㎍/㎥. Then, the concentration of find dust (PM₁₀, PM_2.5) was reduced by up to 32.6% or 647.0㎍/㎥ and 32.4% or 401.3㎍/㎥ respectively through reduction in cycle 2 blast section (C-2, β=-5.50, β=-3.30) and up to 30.8% or 732.7㎍/㎥ and 31.0% or 459.3㎍/㎥ respectively through reduction in cycle 3 blast section (C-3, β=5.48, β=-3.51). By referring to standards and regulations related to the installation of vegetation bio-filters in public facilities, this study provided plans on how to set up objective performance evaluation environment. By doing so, it was possible to create monitoring infrastructure more objective than a regular lecture room environment and secure relatively reliable data.

• Journal of Bio-Environment Control
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• v.26 no.4
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• pp.268-275
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• 2017

The photosynthetic rates of crops depend on growth environment factors, such as light intensity and temperature, and their photosynthetic efficiencies vary with growth stage. The objective of this study was to compare two different models expressing canopy photosynthetic rates of romaine lettuce (Lactuca sativa L., cv. Asia Heuk romaine) using three variables of light intensity, temperature, and growth stage. The canopy photosynthetic rates of the plants were measured 4, 7, 14, 21, and 28 days after transplanting at closed acrylic chambers ($1.0{\times}0.8{\times}0.5m$) using light-emitting diodes, in which indoor temperature and light intensity were designed to change from 19 to $28^{\circ}C$ and 50 to $500{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, respectively. At an initial $CO_2$ concentration of $2,000{\mu}mol{\cdot}mol^{-1}$, the canopy photosynthetic rate began to be calculated with $CO_2$ decrement over time. A simple multiplication model expressed by simply multiplying three single-variable models and a modified rectangular hyperbola model were compared. The modified rectangular hyperbola model additionally included photochemical efficiency, carboxylation conductance, and dark respiration which vary with temperature and growth stage. In validation, $R^2$ value was 0.849 in the simple multiplication model, while it increased to 0.861 in the modified rectangular hyperbola model. It was found that the modified rectangular hyperbola model was more suitable than the simple multiplication model in expressing the canopy photosynthetic rates affected by environmental factors (light Intensity and temperature) and growth factor (growth stage) in plant factory modules.

• Korean Journal of Environment and Ecology
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• v.33 no.4
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• pp.472-480
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• 2019

Selection of the plant material for planting to reduce fine dust should comprehensively consider the visual characteristics, such as the shape and texture of the plant leaves and form of bark, which affect the adsorption function of the plant. However, previous studies on reduction of fine dust through plants have focused on the absorption function rather than the adsorption function of plants and on foliage plants, which are indoor plants, rather than the outdoor plants. In particular, the criterion for selection of fine dust reduction species is not specific, so research on the selection criteria for plant materials for fine dust reduction in urban areas is needed. The purpose of this study is to identify the priorities of eight indicators that affect the fine dust reduction by using the fuzzy multi-criteria decision-making model (MCDM) and establish the tree selection criteria for the urban planting to reduce fine dust. For the purpose, we conducted a questionnaire survey of those who majored in fine dust-related academic fields and those with experience of researching fine dust. A result of the survey showed that the area of leaf and the tree species received the highest score as the factors that affect the fine dust reduction. They were followed by the surface roughness of leaves, tree height, growth rate, complexity of leaves, edge shape of leaves, and bark feature in that order. When selecting the species that have leaves with the coarse surface, it is better to select the trees with wooly, glossy, and waxy layers on the leaves. When considering the shape of the leaves, it is better to select the two-type or three-type leaves and palm-shaped leaves than the single-type leaves and to select the serrated leaves than the smooth edged leaves to increase the surface area for adsorbing fine dust in the air on the surface of the leaves. When considering the characteristics of the bark, it is better to select trees that have cork layers or show or are likely to show the bark loosening or cracks than to select those with lenticel or patterned barks. This study is significant in that it presents the priorities of the selection criteria of plant material based on the visual characteristics that affect the adsorption of fine dust for the planning of planting to reduce fine dust in the urban area. The results of this study can be used as basic data for the selection of trees for plantation planning in the urban area.

• Microbiology and Biotechnology Letters
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• v.43 no.2
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• pp.142-149
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• 2015

Bioaerosols are comprised of particles 0.02-100 μm in size that originate in natural and artificial environments, and as a result of human activities. They consist of microorganisms including viruses, bacteria, fungi, and protozoa; fungal spores; microbial toxins; pollen; plant or animal material; expectorated liquid from humans; and glucans (peptidoglycan and β-glucan). Bioaerosols can cause respiratory and other diseases in humans and animals. In this study, bioaerosol samples acquired from agricultural sources, livestock, a sewage treatment plant, a beach, and a pristine area were analyzed to identify and phylogenetically characterize culturable microorganisms. The isolated bacteria exhibited regional differences, with different species dominating. However, Bacillus cereus was isolated in all samples, with a total of 31 strains isolated from all areas, and Acinetobacter baumannii was isolated from an indoor poultry farm. In addition, bacteria determined to be of novel genus or species of the genera Domibacillus, Chryceobacterium, Nocardioides and family Comamonadaceae were isolated from the agricultural, livestock and beach environments.

• Journal of Bio-Environment Control
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• v.24 no.3
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• pp.258-263
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• 2015

This study was conducted to evaluate the effects of the fog-cooling system on the growth and yield characteristics of two large-fruited paprika cultivars during summer cultivation season. The temperature inside the greenhouse equipped with fog-cooling system was $2-3^{\circ}C$ lower than that in the control. The results of study show the possibilities of maintaining indoor temperatures below $35^{\circ}C$ and relative humidity at the level of 80% using fogcooling system during hot seasons of the year. Plant height, fruit weight and number of fruits per plant were higher for both cultivars in the fog-cooling treatment compared to those in control. Mean fruit weight and yield per unit area were higher in the fog-cooling treatment than those in the control. However there were no significant differences in sugar content, flesh thickness and locule number of fruits due to fog-cooling system. Number of fruits with epidermal cracking was decreased in the fog-cooling system for both paprika cultivars. Mineral contents of plants such as nitrogen (N), potassium (K), calcium (Ca), magnesium (Mg), were not affected due to fog-cooling treatment.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.77-77
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• 2018

천마(Gastrodia elata)는 연중생산을 위해 실내시설 재배 시 생육모델을 구죽하고, 생육단계에 따른 온도, 수분, $CO_2$ 등 환경 조건 설정이 필요하다. 본 연구는 천마의 생육단계 중 괴경형성기와 괴경비대기의 수분함량을 설정하여 최적의 환경조건을 찾기 위해 수행하였다. 먼저 괴경형성기 수분함량 공급은 괴경형성기에 -20kPa, -30kPa, -40kPa로 처리하여 120일간 배양한 뒤, 괴경비대기를 -40kPa로 고정하여 60일간 배양하였다. 반면, 괴경비대기 수분함량 공급은 괴경형성기를 -30kPa로 고정하여 120일간 배양한 뒤 괴경비대기에 -20kPa, -30kPa, -40kPa, -50kPa로 처리하여 60일간 배양하였다. Tensiometer(토양수분장력계)기를 설치하여 수분을 공급하였고, FDR센서 (UbiMas, CoCo sensor, Frequency domain reflectometry type)를 배양토의 깊이 5 cm와 15 cm에 2개를 설치하여 평균값으로 수분함량을 측정하였으며, 전체수량, 성마율, 종마율 등을 조사하였다. FDR센서로 수분함량을 측정한 결과, -20 kPa은 43.3%, -30 kPa은 34.7%, -40 kPa은 29.8%, -50 kPa은 25.3%로 측정되었다. 괴경형성기 수분함량 처리 후 수확기의 상자 당 전체수량은 -30 kPa일 때 985 g으로 가장 많았고, -40 kPa일 때 912 g, -20 kPa일 때 703 g으로 처리간의 유의적인 차이를 보였다. 성마율은 수분함량처리별 각각 25, 34, 30% 이었고, 종마율은 수분함량처리별 각각 53, 73, 65%로 나타났다. 따라서 -30 kPa 처리구가 다른 처리구에 비해 전체수량, 성마율, 종마율 등이 유의적으로 우수하였다. 괴경비대기 수분 함량 처리 후 수확기의 상자 당 전체수량은 -40 kPa일 때 992 g으로 가장 많았고, -50 kPa일 때 955 g, -30 kPa일 때 903 g, -20 kPa일 때 686 g 순으로 나타났다. -30 kPa에서 -50 kPa 사이에서는 전체 수량의 유의성 차이는 없었다. 성마율은 수분함량처리별 각각 20, 30, 35, 33%이었고, 종마율은 수분함량처리별 각각 45, 65, 75, 68%로 나타났다. 따라서 -40 kPa 처리구가 다른 처리구에 비해 전체수량, 성마율, 종마율 등이 유의적으로 우수하였다. 반면 -20 kPa 처리구는 과도한 수분으로 천마가 오히려 부패될 수 있는 환경조건이 조성됨에 따라 성마율, 종마율 등 전체적인 수량 감소에 영향을 미친 것으로 판단되었다.