• Journal of Conservation Science
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• v.33 no.3
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• pp.189-201
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• 2017

This study focused on the Gaya mural tomb located in Goa-ri, Goryeong-gun, North Gyeongsang Province, Republic of Korea. Environmental factors such as ambient temperature, relative humidity and surface temperature, and microbial distribution on mural tombs were monitored for one year to gather data on the conservation environment of the mural tombs. The average internal temperature difference with reference to the ambient outer temperature was observed to be $11.7^{\circ}C$ for the monitoring period and the internal temperature of the tomb was found to change periodically every one or two months in response to the outer temperature. The highest temperature was observed in September and the lowest in March. The relative humidity in the mural tomb remained constant at 100%. Between December and April, condensation occurred on the ceiling of the main room of the tomb, where the murals are located. On the ceiling of the aisle, the condensation occurred throughout the year. The inside and surface wall were isolated from microorganisms, which could grow when a suitable growth environment suitable is established. Based on microbial growth temperature conditions, risk periods of microbial hazards were established, where in the period from August to October was identified as the most dangerous.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.86-100
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• 2004

계산을 통한 단백질 상호작용 예측 기법의 중요성이 제기되면서 많은 단백질 상호 작용 예측 기법이 제안되고 있다. 하지만 이러한 기법들이 일반 사용자가 손쉽게 사용할 수 있는 서비스 형태로 제공되고 있는 경우는 드물다. 본 논문에서는 현재까지 알려진 단백질 상호작용 예측 기법 중 예측 기법의 완성도가 높고 상대적으로 예측 정확도가 높은 것으로 알려진 도메인 조합 기반 단백질 상호 작용 예측 기법을 PreSPI(Prediction System for Protein Interaction)라는 서비스 시스템으로 설계하고 구현하였다. 구현된 시스템이 제공하는 기능은 크게 도메인 조합 기반 단백질 상호 작용 예측 기법을 서비스 형태로 만들어 제공하는 기능으로 입력 단백질 쌍에 대한 상호작용 예측이 중심이 된 핵심기능과, 핵심 기능으로부터 파생되는 기능인 부가 기능, 그리고 주어진 단백질에 대한 도메인 정보검색 기능과 같이 단백질 상호작용에 관하여 연구하는 연구자에게 도움이 되는 일반적인 기능으로 구성되어 있다. 계산을 통해 단백질 상호 작용을 예측하는 시스템은 대규모계산이 요구되는 경우가 많아 좋은 성능을 갖추는 것이 중요하다. 본 논문에서 구현된 PreSPI 시스템은 서비스에 따라 적절히 그 처리를 병렬화 함으로써 시스템의 성능 향상을 도모하였고, PreSPI 가 제공하는 기능을 웹 서비스 API 로 Deploy 하여 시스템의 개방성을 지원하고 있다. 또한 인터넷 환경에서 변화되는 단백질 상호 작용 및 도메인에 관한 정보를 유연하게 반영할 수 있도록 시스템을 계층 구조로 설계하였다. 본 논문에서는 PreSPI 가 제공하는 몇 가지 대표적인 서비스에 관하여 사용자 인터페이스를 중심으로 상술함으로써 초기 PreSPI 사용자가 PreSPI 가 제공하는 서비스를 이해하고 사용하는 데에도 도움이 되도록 하였다.있어서 자각증상, 타각소견(他覺所見)과 함께 이상(異常)은 확인되지 않았으며 부작용도 없었다. 이상의 결과로부터, ‘펩타이드 음료’는 경증고혈압 혹은 경계역고혈압자(境界域高血壓者)의 혈압을, 자각증상 및 혈액${\cdot}$뇨검사에도 전혀 영향을 미치지 않고 저하시킨다고 결론지었다.이병엽을 염색하여 흰가루 병균의 균사생장과 포자형성 등을 관찰한 결과 균사가 용균되는 것을 볼 수 있었으며, 균사의 용균정도와 분생포자형성 억제 정도는 병 방제효과와 일치하는 경향을 보였다.을 의미한다. IV형은 가장 후기에 포획된 유체포유물이며, 광산 주변에 분포하는 석회암체 등의 변성퇴적암류로부터 $CO_{2}$ 성분과 다양한 성분의 유체가 공급되어 생성된 것으로 여겨진다. 정동이 발달하고 있지 않으며, 백운모를 함유하고 있는 대유페그마타이트는 변성작용에 의한 부분용융에 의해 형성된 멜트에서 결정화되었으며, 상당히 높은 압력의 환경에서 대유페그마타이트의 결정화작용 과정에서 용리한 유체의 성분이 전기석에 포획되어 있다. 이때 용리된 유체는 다양한 성분을 지니고 있었으며, 매우 낮은 공융온도와 다양한 딸결정은 포유물 내에 NaCl, KCl 이외에 적어도 $CaCl_{2},\;MgCl_{2}$와 같은 성분을 포함하고 있음을 지시한다. 유체의 용리는 적어도 $2.7{\sim}5.3$ kbar 이상의 압력과 $230{\sim}328^{\circ}C$ 이상의 온도에서 시작되었다.없었다. 결론적으로 일부 한방제와 생약제제는 육계에서 항생제를 대체하여 사용이 가능하며 특히 혈액의 성분에 유의한 영향을 미치는 것으로 사료된다. 실증연구가 필요할 것으로 사료된다.trip과 Sof-Lex disc로 얻어진 표면은 레진전색제의 사용으로 표면조도의 개선

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.1-10
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• 2006

The objective of this study was to develop a GIS application model for analyzing site-specific suitability and investment efficiency of major plantation tree species. The model was designed to choose the best plantation species in terms of both potential stand growth and investment efficiency. Site index and IRR were used as the criteria for the potential of stand growth and investment efficiency, respectively. In the model, the conditions of forest stand management and site index are estimated as the function of site-environmental factors extracted by a series of spatial analyses of digital maps of FGIS. Based on site index values of tree species, the model screens out all the high potential tree species, in terms of stand growth, as the candidates for species selection and, then, calculates IRR for managing plantation forest stands for all the candidate tree species. The tree species of the highest IRR would be chosen as the one possessing the highest potential in terms of stand growth and profit. The model was applied to a case study for analyzing the site-specific suitability of 6 tree species in Taehwa University Forest of Seoul National University and the results are given in this paper.

• Journal of Bio-Environment Control
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• v.31 no.1
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• pp.1-7
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• 2022

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO₂ and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

• Journal of Bio-Environment Control
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• v.1 no.2
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• pp.154-161
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• 1992

This experiment was carried oui to determine the relativeness between growth, yield characters and bio-informations as influenced by the spray and rest time intervals of nutrient solution. Tomato(Lycopersicon esculentum Mill.) were grown in aeroponic system on a misting schedule of continuously 60 sec, 30 sec and 10 sec at 10 min intervals with full strength Yamazaki's solution recommended for tomato production. The results obtained were as follows : 1. Leaf area was highest in the plot of 30 sec spray and 10 min rest while the forest one was the plot of 60 sec spray and 10 min rest. Growth characteristics in terms of dry weight of each organ, number of flower, number of flower setted and fruit dry weight were greater in the plot of 30 sec spray and 10 min rest than the other treatments. 2. The number of flower increased with decreasing dry weight but number of flower sorted was not significantly different among treatment except for the plot of 60 sec spray and 10 min rest. 3. Leaf dry weight and fruit dry weight were highly correlated so that 30 sec spray and 10 min rest plot which is the highest fruit dry weight showed the largest leaf area. Continuously sprayed plot reduced markedly the fruit dry weight compared with leaf area. Optimum spray and rest time of nutrient solution in the range of this experiment was determined as 30 sec spray and 10 min rest. 4. Solar radiation within glasshouse during daytime reduced severely compared with outdoor one and air temperature within greenhouse was higher than the leaf temperature of tomato plant. The changes of environmental factors, solar radiation, temperature were accompanied with the sensitive change of bio-informations of tomato leaf Especially differences of spray intervals of nutrient solution affected greatly to the changes of bio-informations : leaf water potential, stomatal resistance and leaf temperature etc. 5. The changing patterns of leaf growth as influenced by the spray and rest intervals of nutrient solution were closely related to the leaf water potential, stomatal resistance and leaf temperature. Feasibility was demonstrated that measurement of bio-information of tomato leaf as influenced by the change of environmental factors could be expected to the amount of growth and fruit yield.

• Journal of Korean Society of Forest Science
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• v.110 no.1
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• pp.53-63
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• 2021

Sophora koreensis Nakai is an indigenous plant in Koreawith a restricted natural range, part of which is in Gangwon province. The species is known to contain phytochemicals that have beneficial effects on human health, and it is economically important in bioindustry. Because of the limited number of plants in a small range of habitats, the mass-propagation method should be developed for use and conservation. In vitro tissue culture is a reliable method in terms of mass propagation from selected clones of the species. We investigated the optimal conditions of the medium in this process, especially focusing on the concentrations of plant growth regulators(PGRs) in the culture of stem-containing axillary buds. Three statistical methods, i.e., ANOVA, response surface method(RSM), and fuzzy clustering were used to analyze the plant growth, number of shoots induced, and shoot length with various combinations of PGRs. Results from the RSM differed from those of the other two methods; thus, the method was not suitable. ANOVA and fuzzy clustering showed similar results. However, more accurate results were obtained using fuzzy clustering because it provided a probability for each treatment. On the basis of the fuzzy clustering analysis, stem tissue produced the greatest number of shoots(11.03 per explant; 63.33%) on a medium supplemented with 5-��M 6-benzylaminopurine and 2.5-��M thidiazuron(TDZ). Proliferation of shoots(2.18 ± 0.21 cm, 63.33%) was attained on a medium supplemented with 2.5-��M BA, 2.5-��M TDZ, and 2.5-��M gibberellic acid.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.1
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• pp.1-14
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• 2021

Onions are a representative produce that requires supply-demand control measures due to large fluctuations in production and price by growing season. Accurate forecasts of crop production can improve the effectiveness of such measures. However, it is challenging to obtain accurate estimates of crop productivity for onions because they are mainly grown on the open fields. The objective of this study was to perform the empirical analysis of the relationship between factors for crop growth and meteorological conditions, which can support the development of models to predict crop growth and production. The growth survey data were collected from open fields. The survey data included the weight of above ground organs as well as that of the bulbs. The estimates of meteorological data were also compiled for the given fields. Correlation analysis between these factors was performed. The random forest was also used to compare the importance of the meteorological factors by the growth stage. Our results indicated that insolation in early March had a positive effect on the growth of the above-ground. There was a negative correlation between precipitation and the growth of the above-ground at the end of March although it has been suggested that drought can deter the growth of onion. The negative effects of precipitation and daylight hours on the growth of the above-ground and under-ground were significant during the harvest period. These meteorological factors identified by growth stage can be used to develop models for onion growth and production forecast.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.446-453
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• 2012

This study estimated how much carbon can be sequestered if we plant trees in non-forested areas in the 36 hole Oak Valley Golf Courses in Gangwon Province, Korea. We identified plantable areas where planting trees will not affect golf game using high resolution aerial photography and ground survey and estimated the annual carbon sequestration rate of the planted trees using biomass equations. Of the golf courses, 30.3% were covered by forest. Other major land cover types include lawn, waterbody, baresoil, buildings, and roads. The plantable areas consist of $106,101m^2$ of lawn (6.0% of the study site) and $177,531m^2$ of low density forest (10.1% of the study site). We assumed to plant Mongolian oaks with 10 cm in diameter at brest height with the density of $0.3/m^2$ in the lawn and $0.2/m^2$ in the low density forest. The planting simulation shows that the total number of the newly planted trees were 67,336, and the total carbon sequestered during the subsequent year was 392.9 tC/yr, which offset 12.5% of the total carbon emitted from the golf courses. The annual carbon sequestration rate gradually increases and reaches its maximum level at 440.5 tC/yr in 15 years since the initial reforestation (14.0% of the carbon emission from the golf courses).

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.325-331
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• 2022

One of the most important factors in predicting tomato growth and yield is the leaf area. Estimating leaf area accurately is the beginning of an effective tomato plant growth assessment model. To this end, this study was conducted to identify the most effective model for estimating plant leaf area through the measurement of tomato plant leaves. Leaf area (LA), leaf length (L), leaf width (W), and lamina length (La) were measured for all leaves of 5 plants at two-week intervals. The correlation between LA and tomato-leaf-independent variables showed a strong positive relationship with the formulas La × W, L × W, La + W, and L + W. For LA estimation, a linear model using the formula LA = a + b (La² + W²) gave the most accurate estimation (R² = 0.867, RMSE = 88.76). After examining the positions of upper, middle, and lower leaves from September to December, the coefficient of determination (R²) values for each model were 0.878, 0.726, and 0.794 respectively. The most accurate estimation came from the model that used the upper leaves of the plants. The high accuracy of the upper-leaf-based model is judged by the 50% defoliation performed by farmers after October.

• Ecology and Resilient Infrastructure
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• v.6 no.3
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• pp.163-170
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• 2019

The civil engineering materials used to stabilize the slopes of new riverbanks have a great impact on the types and growth of vegetation introduced after the completion of construction procedure. Recently, microbial-derived, ${\beta}$-glucan- and xanthan gum-based biopolymers are attracting attention as an ecofriendly strengthening material of riverbanks that can possibly stimulate plant growth. This study aimed to assess ecological effects of biopolymer application on native plants in Korean riverbanks. In particular, since dominant plant species could shape characteristics of an ecosystem, we examined the effects of biopolymer on the dominant plant species in riverbanks. Overall, biopolymer did not affect seed germination rates of testing plant species. In contrast, plants grew more vigorously in the soil mixed with biopolymer compared to those in the control soil. The biomass of Echinochloa crus-galli especially increased around two times more in the biopolymer treatment. Plants produced heavier root biomass and leaves with larger specific leaf area, which possibly contributes to the tolerance of environmental stress like drought. These results suggest that biopolymers treated on river banks are expected to stimulate plant growth and increase stress tolerance of domestic dominant plant species.