• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.164-175
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• 2019

The Tor Tong Daeng Irrigation Project with the irrigation area of 61,400 hectares is located in the Ping Basin of the Upper Central Plain of Thailand where farmers depended on both surface water and groundwater. In the drought year, water storage in the Bhumipol Dam is inadequate to allocate water for agriculture, and caused water deficit in many irrigation projects. Farmers need to find extra sources of water such as water from farm pond or groundwater as a supplement. The operation of Bhumipol Dam and irrigation demand estimation are vital for irrigation water allocation to help solve water shortage issue in the irrigation project. The study aims to determine the smart dam operation system to mitigate water shortage in this irrigation project via introduction of machine learning to improve dam operation and irrigation demand estimation via soil moisture estimation from satellite images. Via ANN technique application, the inflows to the dam are generated from the upstream rain gauge stations using past 10 years daily rainfall data. The input vectors for ANN model are identified base on regression and principal component analysis. The structure of ANN (length of training data, the type of activation functions, the number of hidden nodes and training methods) is determined from the statistics performance between measurements and ANN outputs. On the other hands, the irrigation demand will be estimated by using satellite images, LANDSAT. The Enhanced Vegetation Index (EVI) and Temperature Vegetation Dryness Index (TVDI) values are estimated from the plant growth stage and soil moisture. The values are calibrated and verified with the field plant growth stages and soil moisture data in the year 2017-2018. The irrigation demand in the irrigation project is then estimated from the plant growth stage and soil moisture in the area. With the estimated dam inflow and irrigation demand, the dam operation will manage the water release in the better manner compared with the past operational data. The results show how smart system concept was applied and improve dam operation by using inflow estimation from ANN technique combining with irrigation demand estimation from satellite images when compared with the past operation data which is an initial step to develop the smart dam operation system in Thailand.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.185-185
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• 2019

Sustaining future wheat production is challenged by anthropogenically forced climate warming and drying led by increased concentration of greenhouse gases all around the globe. Warming stresses, originating from the elevated $CO_2$ concentration, are continuously reported to have negative impacts on wheat growth and yield. Yet, elevated $CO_2$ concentration, despite being disparagingly blamed for promoting warming, is also associated with a phenomenon called $CO_2$ enrichment; in which wheat yield can improve due to the enhanced photosynthesis rates and less water loss through transpiration. The conflicting nature of climate warming and $CO_2$ enrichment and their interplay can have specific implications under different environments. It is established form the field and simulation studies that the two contrasting phenomena would act severely in their own respect under arid and semi-arid environments. Wheat is a dietary staple for masses in Pakistan. The country's wheat production system is under constant stress to produce more from irrigated agricultural lands, primarily lying under arid to semi-arid environments, to meet the rapidly growing domestic needs. This work comprehensively examines the warming impacts over wheat yield and water productivity (WP), with and without the inclusion of $CO_2$ enrichment, under semi-arid environment of Punjab which is the largest agricultural province of Pakistan. Future wheat yields and WPs were simulated by FAO developed AquaCrop model v 5.0. The model was run using the bias-correction climate change projections up to 2080 under two representative concentration pathways (RCP) scenarios: 4.5 and 8.5. Wheat yield and WPs decreased without considering the $CO_2$ enrichment effects owing to the elevated irrigation demands and accelerated evapotranspiration rates. The results suggested that $CO_2$ enrichment could help maintain the current yield and WPs levels during the 2030s (2021-2050); however, it might not withhold the negative climate warming impacts during the 2060s (2051-2080). Furthermore, 10 - 20 day backward shift in sowing dates could also help ease the constraints imposed by climate warming over wheat yields and WPs. Although, $CO_2$ enrichment showed promises to counteract the adverse climate warming impacts but the interactions between climate warming and $CO_2$ concentrations were quite uncertain and required further examination.

• Korean Journal of Soil Science and Fertilizer
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• v.22 no.1
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• pp.25-30
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• 1989

A field experiment was carried out to evaluate the effects of zeolite application and vinyl mulching on the changes in soil physico-chemical properties and yield of silage corn on the newly-reclaimed sloped land. Corn (Suweon 19) was cultivated under 4 application levels of zeolite, 0, 500, 1,000 and 1,500 kg/10a, with and without vinyl mulching, and various soil physico-chemical properties and corn growth were investigated. Soil physical properties, such as cation exchange capacity and water stable aggregates, were increased, but soil hardness was decreased by zeolite application. The porosity and temperature of soil were increased greatly by vinyl mulching. The differences between daily maximum and minimum soil temperature were large in beginning stages of crop growth, but those were decreased to $2^{\circ}C$ after mid-August. Zeolite application enhanced the plant growth and increased yields by 3-37% compare to control, also vinyl mulching brought to increase the corn yields by 17-23%. Water stable aggregates was correlated with soil hardness, and silage yields were highly correlated with porosity, air phase and water stable aggregates.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.798-803
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• 2010

Experiments were conducted to find out the optimum amount of compost and tillage depths in pepper cultivation. Red pepper was grown in different plots with 10 cm, 30 cm, and 50 cm in tillage depth, and was applied with 1 ton, 3 ton, and 5 ton $10a^{-1}$, respectively. The pH value in soil showed lower level after experiment than before experiment, however, the contents of the EC, Av. $P_2O_5$, K, Ca, Mg, and Na were increased after experiment. The chemical contents in soil after experiment showed higher level in compost 5 ton $10a^{-1}$. The growth of red pepper in field was enhanced in the compost treatment of 3 ton, 5 ton $10a^{-1}$, and tillage 50 cm plot. In tillage 10 cm plot, yields of red pepper showed the highest amount as 5,880 kg $ha^{-1}$ with compost 3 ton $10a^{-1}$. In tillage 30 cm plot, the yields of red pepper showed the highest as 5,610 kg $ha^{-1}$ with compost 5 ton $10a^{-1}$. The T-N contents and uptake in the red pepper plant increased in the compost in 3 ton $10a^{-1}$ and 5 ton $10a^{-1}$ compared to 1 ton $10a^{-1}$. These results suggest that different amounts of compost should be applied when we cultivate crops with different tillage depth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.711-720
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• 2018

The purpose of this study was to explore the impact of lifelong educators' core competencies as a mediating effect on adult learners' ability to function. The subject of this study was aimed at adult learners participating in lifelong education programs at lifelong educational institutions located in Gyeonggi Province. and was finally used for a total of 520 additional analyses. The main findings of this study are as follows: first, regarding the correlation between the core competence of lifelong educators and the life ability of adult learners, core competence has a static association with wisdom. In addition, wisdom has a high static association with life expectancy. Second, the core competence and wisdom of lifelong educators were found to have a significant static impact on adult learners' life abilities, accounting for 66.8%. Specifically, the most significant predictors of life's ability were creative problem solving, consideration for others, and acceptance of change, which were lower factors of wisdom. Third, the impact of a lifetime educator's core competence on adult learners is not significant. It was found that core competence has an indirect influence on life capacity through the mediating effect of wisdom, and that wisdom has directly interfaced the relationship between core competence and life ability. Taken together, these results proved that the core competence and wisdom of a lifelong educator are important variables for adult learner's life abilities. Based on this, the core competence of lifelong educators being taught in the field of lifelong education should be enhanced, and the ability of adult learners to utilize the wisdom that has been developed through the experiences of adult learners, to improve their life skills.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.21-27
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• 2019

Selection of feature pattern gathered from the observation of the RNA sequencing data (RNA-seq) are not all equally informative for identification of differential expressions: some of them may be noisy, correlated or irrelevant because of redundancy in Big-Data sets. Variable selection of feature pattern aims at differential expressed gene set that is significantly relevant for a special task. This issues are complex and important in many domains, for example. In terms of a computational research field of machine learning, selection of feature pattern has been studied such as Random Forest, K-Nearest and Support Vector Machine (SVM). One of most the well-known machine learning algorithms is SVM, which is classical as well as original. The one of a member of SVM-criterion is Support Vector Machine-Recursive Feature Elimination (SVM-RFE), which have been utilized in our research work. We propose a novel algorithm of the SVM-RFE with Q-learning in reinforcement learning for better variable selection of feature pattern. By comparing our proposed algorithm with the well-known SVM-RFE combining Welch' T in published data, our result can show that the criterion from weight vector of SVM-RFE enhanced by Q-learning has been improved by an off-policy by a more exploratory scheme of Q-learning.

• Journal of Electrochemical Science and Technology
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• v.9 no.4
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• pp.282-291
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• 2018

The pristine fluorine-doped $SnO_2$ (abbreviated as FTO) inverse opal (IO) was developed using a 410 nm polystyrene bead template. The nanolayered copper tungsten oxide ($CuWO_4$) was decorated on the FTO IO film using a facile electrochemical deposition, subsequently followed by annealing at $500^{\circ}C$ for 90 min. The morphologies, crystalline structure, optical properties and photoelectrochemical characteristics of the FTO and $CuWO_4$-decorated FTO (briefly denoted as $FTO/CuWO_4$) IO film were investigated by field emission scanning electron microscopy, X-ray diffraction, UV-vis spectroscopy and electrochemical impedance spectroscopy, showing FTO IO in the hexagonally closed-pack arrangement with a pore diameter and wall thickness of about 300 nm and 20 nm, respectively. Above this film, the $CuWO_4$ was electrodeposited by controlling the cycling number in cyclic voltammetry, suggesting that the $CuWO_4$ formed during 4 cycles (abbreviated as $CuWO_4$(4 cycles)) on FTO IO film exhibited partial distribution of $CuWO_4$ nanoparticles. Additional distribution of $CuWO_4$ nanoparticles was observed in the case of $FTO/CuWO_4$(8 cycles) IO film. The $CuWO_4$ layer exhibits triclinic structure with an indirect band gap of approximately 2.5 eV and shows the enhanced visible light absorption. The photoelectrochemical (PEC) behavior was evaluated in the 0.5 M $Na_2SO_4$ solution under solar illumination, suggesting that the $FTO/CuWO_4$(4 cycles) IO films exhibit a photocurrent density ($J_{sc}$) of $0.42mA/cm^2$ at 1.23 V vs. reversible hydrogen electrode (RHE, denoted as $V_{RHE}$), while the FTO IO and $FTO/CuWO_4$(8 cycles) IO films exhibited a $J_{sc}$ of 0.14 and $0.24mA/cm^2$ at $1.23V_{RHE}$, respectively. This difference can be explained by the increased visible light absorption by the $CuWO_4$ layer and the favorable charge separation/transfer event in the cascading band alignment between FTO and $CuWO_4$ layer, enhancing the overall PEC performance.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.45 no.1
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• pp.77-85
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• 2019

OMiYakSung theory consists of various herbs that contain at least one or more of the five flavors. This theory has been used to prevent human diseases and enhance the immune system. The main objective of the present study was to investigate efficacy differences and changes in ingredients of blended and single herb extracts based on OMiYakSung theory. We selected three herbs Coptis japonica Makino, Cimicifuga heracleifolia Komarov, and white Poria cocos and assessed their physiological effect. As results, the blended extracts showed excellent cell migration effect at 400 ug/mL concentration, compared to the single extract. In addition, the blended extracts enhanced immune function by increasing the activity of dendritic cells and showed the highest antioxidant activity by DPPH assay and HPLC-ABTS assay. In this study, we developed a new materials that can be applicable to cosmetics and pharmaceuticals field by applying oriental medicine theory.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.1-7
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• 2018

The dual security system that manages user's account information and uses NFC and OTP has been proposed. It also enhances the security of the user authentication phase by using the features that recognize within the range of less than 1m of NFC and the high security of NFC itself. During the graduation work design process which was carried out for one year and six months in a group of two in the electronics engineering major of the four-year undergraduate system was conducted. In the interim results, we participated in the conferences and thesis contest at the Institute of related to major for three times. Finally passed the examination process for three times judged by 6 professors in the major. The results were published in a graduation thesis together with other people who passed and composed in thesis form. Through the experience gained through these stages of design and production, it has gained the confidence to gain employment opportunities and actively pursue the growth stage, and presented a methodology to practice engineering education through employment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.469-476
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• 2021

An electronic attack (EA) system is an essential weapon system for performing electronic warfare missions that contain signal tracking and jamming against multiple threats using electromagnetic waves, such as air defense radars, wireless command and communication networks, and guided missiles. The combat effectiveness can be maximized, and the survivability of militarily protecting combat power can be enhanced through EA mission operations, such as disabling the functions of multiple threats. The EA system can be used as a radio frequency jamming system to respond to drone attacks on the core infrastructure, such as airports, power plants, and communication broadcasting systems, in the civilian field. This study examined the criteria for classification according to the electronic attack missions of foreign EA systems based on an aviation platform. The foreign R&D trends by those criteria were investigated. Moreover, by analyzing the R&D trends of domestic EA systems and future battlefields in the domestic security environments, this paper proposes technological development plans of EA systems suitable for the future battlefield environments compared to the foreign R&D trends.