• Journal of Mushroom
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• v.14 no.2
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• pp.39-43
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• 2016

In this study, we observed differences in the fruit body genesis in with seasonal changes. The mushrooms generated different spines even when under same environmental conditions in equivalent growth chambers during different seasons. The growth chamber conditions were set at $18^{\circ}$, 1000 ppm CO and 95% humidity for uniform primordium formation. Following this, the humidity was reduced to 85% during growth and development. The characteristics of the fruit body were measured: yield (weight), length (size), hardness, and chromaticity. Each measure was relatively compared owing standard data for. We investigated the environmental factors to assess the cause of variation in fruit body. Change in temperature and humidity were especially focused on, apart from climate that can affect mushroom growth. It was observed that temperature and humidity both influence fruit body growth. Not the absolute value of the elevation, there was a change of climate which the temperature is lowered and lowered the humidity can be assumed that the changes in the environmental conditions inside the growth chamber the mushroom growth.

• Journal of the Korea Institute of Building Construction
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• v.17 no.2
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• pp.149-155
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• 2017

In this research, the surface covered curing method using the double-layered bubble sheet was evaluated. This double-layered bubble sheet has outstanding insulating performance with its low heat conductivity and high economic feasibility with its high durability. However, in the case of wall-typed building construction, the area of exposed rebar is curious on curing performance with the double-layered bubble sheet in spite of the double-layered bubble sheet showed favorable performance for slab. Therefore, in this research, regarding the actually constructed wall-typed apartment building, the most efficient curing method was suggested based on the evaluation of curing performance depending on temperature distribution depending on various location of covered or exposed rebar. As a result, the D method was determined as the most efficient curing method without any concern of early-age frost damage. However, by considering easiness of construction, the B method of covering the pieced double-layered bubble sheet on gap between rebars can be another option of desired result.

• Journal of Wetlands Research
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• v.24 no.1
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• pp.38-43
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• 2022

Smart sewage treatment plant means creating a safe and clean water environment by establishing an ICT-based real-time monitoring, remote control management and intelligent system for the entire sewage treatment process. The core technology of such a smart sewage treatment plant can be operation control technology using measuring instruments. This research team analyzed and suggested the operation control technologies necessary for the establishment of the intelligent business by referring to the intelligent research projects of the sewage treatment plant in progress in Korea. As a result of the analysis, a total of six removal technologies were presented, including control by scale, reflow water control, linked treated water control, chemical quantity control, winter operation control, and total organic carbon control. By size, standards that can be classified into small and medium-sized large-scale are presented, and in the case of reflow water control, the location of water quality and flow sensors capable of managing reflow water is suggested. In the case of the linked treated water control, the influence and control points of the linked treated water on the sewage treatment plant were presented, and in the case of the chemical injection volume control, a system capable of optimizing the amount of chemical injection according to the introduction of an intelligent sewage treatment plant was presented. In the case of winter operation, the sensors and pumps to be controlled are suggested when considering the decrease in nitrification due to the decrease in water temperature. In the case of total organic carbon control, an interlocking system considering the total amount of pollution in the future was proposed. These operation control scenarios are expected to be used as basic data to be used in intelligent sewage treatment algorithms and scenarios in the future.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.683-687
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• 2006

본 연구의 목적은 경기도 파주시 적성면 설마리에 위치한 설마천 시험유역을 대상으로 신뢰성 있는 수문자료를 지속적으로 수집하여 정확한 물순환 과정을 파악하는데 있다. 따라서 강우량, 수위, 유속, 유량, 수질, 부유사량, 기상 등의 기본적인 수문관측 자료를 축적하는 것이 일차적인 목적이고 최종적으로 수집된 자료를 이용하여 산지 소하천 유역의 수문특성을 규명하는데 있다. 2005년 설마천 시험유역 수문관측은 더욱 향상된 결과를 보였다. 노후화된 관측기기의 교체 및 추가 설치, 실시간 전송장비의 보완 및 운영, 각 관측소당 2기 이상의 동시 관측자료 확보 등을 통해 자료의 결측을 최소화하였고, 정확도를 개선하여 양질의 자료를 생성할 수 있었다. 관측된 우량과 수위 자료에 대해 일상적인 자료 검토 및 처리 과정을 보다 구체적으로 체계화하여 자료의 질이 향상될 수 있도록 하였다. 특히 유량측정 및 산정 방법을 국제 기준에 준하여 수행하고, 현장에서 실시간으로 측정 자료의 분석 및 검증이 가능한 유량측정용 PDA 시스템을 사용함으로써 보다 정도 높은 유량측정성과를 확보할 수 있었다. 이렇게 다각적인 방법으로 안정적인 관측 자료를 확보한 결과, 동절기를 제외한다면 전적비교와 사방교 지점에서 무결측의 유역평균우량과 유량자료를 구축할 수 있었다. 그리고, 본 연구에서는 실시간 전송장비와 설마천 시험유역 홈페이지(http://kict.datapcs.co.kr)를 통해 실시간으로 우량과 수위 자료를 인터넷과 PCS로 확인할 수 있도록 시스템을 운영하였으며, 이로 인해 언제 어디서나 설마천 시험유역의 현장상황을 신속하게 파악할 수 있도록 하여 자료의 질을 향상시킬 수 있는 기반을 구축하여 운영 중에 있다.본 시험유역의 주요연구 내용으로는 관측시설물의 유지관리, 수문기상관측, 수문기상자료 정리 검토, 기본수문특성 분석, 수문관측방법의 비교 검토, 유량측정 정확도 제고를 위한 현장적용평가, 동절기 수위-유량자료 고찰 등을 수행하였으며, 기본 수문특성 분석 내용으로는 호우사상 현황 분석, 지속기간별 최대 강우량분석, 두 우량계간의 강우량 비교, 6개 지점간 강우량 비교, 주요 호우사상의 시 공간적 분포 특성, 연간, 월별, 주요 호우사상별 유출률 분석과 부유사량 및 수질분석 등을 수행하였으며, 이로써 산지 소하천 유역의 물순환 과정을 보다 명확히 규명하고자 노력하였다.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.11a
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• pp.509-512
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• 2008

The lining concrete of water tunnel is a much capability to occur crack due to drying shrinkage and vibrator compaction etc. Because of crack of concrete induce structural problem and decrease durability of concrete, it is need to reduce crack of concrete. In this an Analytical study to analyze the effect of curing of concrete and compaction on the lining concrete. As the results, it was found that control of construction condition into curing of concrete and compaction improve on construction efficiency of the lining concrete.

• Journal of Nutrition and Health
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• v.47 no.6
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• pp.452-462
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• 2014

Purpose: The purpose of the study was to evaluate the status of events and importance-performance analysis (IPA) between industry and school foodservices. Methods: The study subjects were dietitians in industry foodservices (n = 73) and nutrition teachers in school foodservices (n = 135) in the Jeonbuk area. Demographic characteristics, status of events, and problems of implementing events were assessed using a self-administered questionnaire. Results: Approximately 67% of industry foodservices had implemented an event a month, whereas 40.7% of school foodservices did not implement events for students. The type of events that industry and school foodservices had implemented most frequently were Sambok event, Dongji event, Daeboreum event, Spring-Namul event, and Chuseok event. The industry foodservices had significantly higher average scores for performance of events than those of the school foodservices (p < 0.001). In the Importance-Performance Analysis (IPA), high importance and high performance (A area: doing great) in industry foodservices were seasonal events, traditional festival day events, anniversary events, traditional seasonal events, and personal memory events, whereas in school foodservices were traditional festival day events, traditional seasonal events, school events, and environment events. Conclusion: These results showed that events are important for the increase in customer satisfaction. Therefore, it is necessary to consider educational programs on event implementation for dietitians and employees in industry and school foodservices.

• Journal of Bio-Environment Control
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• v.6 no.1
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• pp.48-54
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• 1997

Among the various vegetables eggplant and gourd family can stand against high temperature environmental condition, about 35$^{\circ}C$. However, most of greenhouse farmers are giving up crop cultivation during hot summer season due to extreme temperature, 4$0^{\circ}C$ or above, condition of greenhouse interior. To improve this inferior crop growth condition, for nozzle system was installed in the pet greenhouse and the effect of fog system was investigated in order to determine fog water amount and the required fog nozzle numbers according to house volumes. MEE fog nozzle was selected for this Investigation which can produce water particle size of 27${\mu}{\textrm}{m}$ with water amount of 100$m\ell$ at pumping pressure of 70kg/$\textrm{cm}^2$. House cooling test was conducted in the pet greenhouse with one minute fogging and one minute air ventilation without stopping. It maintained 32$^{\circ}C$ at the house interior when the atmosphere and the house temperature were 35 and 4$0^{\circ}C$, respectively. And, an experimental equation was developed through calculating the changes of relative humidity and temperature with psychrometric equation which revealed the moisture transfer pattern between the house air and fog system. It showed that the required water fogging amounts to reduce 1$0^{\circ}C$, 40 to 3$0^{\circ}C$, needs 80.7$\ell$ for 1-2W(8,350㎥) and 99.9$\ell$ for 3-2G-3S(10,330㎥) type greenhouse with particle size of 27${\mu}{\textrm}{m}$.

• Journal of Korean Society of Environmental Engineers
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• v.38 no.8
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• pp.444-451
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• 2016

Most research on membrane fouling models in the past are based on theoretical equations in lab-scale experiments. But these studies are barely suitable for applying on the full-scale spot where there is a sequential process such as filtration, backwash and drain. This study was conducted in submerged membrane system which being on operation auto sequentially and treating wastewater from G-water purification plant in Incheon. TMP had been designated as a fouling indicator in constant flux conditions. Total volume of inflow and SS concentration are independent variables as major operation parameters and time-series analysis and prediction of TMP were conducted. And similarity between simulated values and measured values was assessed. Final prediction model by using genetic algorithm was fully adaptable because simulated values expressed pulse-shape periodicity and increasing trend according to time at the same time. As results of twice validation, correlation coefficients between simulated and measured data were $r^2=0.721$, $r^2=0.928$, respectively. Although this study was conducted limited to data for summer season, the more amount of data, better reliability for prediction model can be obtained. If simulator for short range forecast can be developed and applied, TMP prediction technique will be a great help to energy efficient operation.

• The Korean Journal of Pesticide Science
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• v.4 no.4
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• pp.87-92
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• 2000

Recently, a new developed petroleiun spray oil(PSO; D-C Tron $Plus^{(R)}$) has been used to control key pests in integrated pest management (IPM) system of citrus orchards in Australia. The efficacy and phytotoxicity of the PSO against the citrus red mite (Panonychus citri) were compared with conventional pesticides (e.g.Tebufenpyrad, Bifenazate and Sun spray oil) in field condition in Jeju. And under PSO mixing spray with some fungicides, the occurrence of phytotoxic symptoms on citrus leaf was investigated. All concentrations of PSO spraying (0.25%, 0.33%, 0.5% and 1.0%) were significantly suppressed the citrus red mite to similar levels of other conventional pesticides. And the spraying of PSO levels ${\geq}0.5%$ was induced not only occurrence of some oil-sucked symptoms on leaf, but also increase of the dropping leaf and fruit rates. As results from mixing PSO spraying test with other fungicides, little burning on new flush shoot was founded only in PSO 1% plus Fluazinam treatment. From the results of this study, with the consideration of pesticidal efficacy and phytotoxicity, 0.25% and 0.33% PSO spraying level will be recommended for the control of citrus red mite during summer season in Jeju.

• Journal of Korean Society of Disaster and Security
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• v.13 no.2
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• pp.27-38
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• 2020

Climate variations have become worse and diversified recently, which caused catastrophic disasters for our communities and ecosystem including economic property damages in Korea. Heat wave of summer season is one of causes for such damages of which outbreak tends to increase recently. Related short-term forecasting information has been provided by the Korea Meteorological Administration based on results from numerical forecasting model. As the study area, the ◯◯ province was selected because of the highest mortality rate in Korea for the past 15 years (1998~2012). When comparing the forecasted temperatures with field measurements, it showed RMSE of 1.57℃ and RMSE of 1.96℃ was calculated when only comparing the data corresponding to the observed value of 33℃ or higher. The forecasting process would take at least about 3~4 hours to provide the 4 hours advanced forecasting information. Therefore, this study proposes a methodology for temperature prediction using LSTM considering the short prediction time and the adequate accuracy. As a result of 4 hour temperature prediction using this approach, RMSE of 1.71℃ was occurred. When comparing only the observed value of 33℃ or higher, RMSE of 1.39℃ was obtained. Even the numerical prediction model of the whole range of errors is relatively smaller, but the accuracy of prediction of the machine learning model is higher for above 33℃. In addition, it took an average of 9 minutes and 26 seconds to provide temperature information using this approach. It would be necessary to study for wider spatial range or different province with proper data set in near future.