• Journal of Mushroom
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• v.15 no.4
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• pp.264-268
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• 2017

In the 21st century, information and communication technology (ICT) worldwide presents a new vision for agriculture. Time and place, as well as the high-tech industry, to overcome barriers to the fusion of the so-called "smart agriculture," are changing the agricultural landscape. Core container production in precision agriculture for mushroom cultivation, optimal temperature, humidity, irradiation, self-regulation of factors such as carbon dioxide, and environment for mushroom cultivation were adopted. Lentinula edodes (shiitake) is an edible mushroom native to East Asia, cultivated and consumed in many Asian countries. It is considered to be medicinal in certain practices of traditional medicine. We used different controlled light sources (Blue-Red-White-combined LED, blue LED, red LED, and fluorescent light) with different LED radiation intensities (1.5, 10.5, and $20.5{\mu}mol/m^2s$ for LEDs) to compare growth and development. Mushrooms were treated with light in a 12-hour-on/12-hour-off cycle, and maintained in a controlled room at $19{\sim}21^{\circ}C$, with 80~90% humidity, and an atmospheric $CO_2$ concentration of 1,000 ppm for 30 days. Growth and development differed with the LED source color and LED radiation intensity. Growth and development were the highest at $10.5{\mu}mol/m^2s$ of blue LED light. After harvesting the fruit bodies, we measured their weight and length, thickness of pileus and stipe, chromaticity, and hardness. The $10.5{\mu}mol/m^2s$ blue-LED-irradiated group showed the best harvest results with an average individual weight of 39.82 g and length of 64.03 mm, pileus thickness of 30.85 mm and pileus length of 43.22 mm, and stipe thickness of 16.96 mm with fine chromaticity and hardness. These results showed that blue LED light at $10.5{\mu}mol/m^2s$ s exerted the best effect on the growth and development of L. edodes (shiitake) mushroom in the ICT-system container-type environment.

• The Journal of Engineering Geology
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• v.30 no.3
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• pp.269-278
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• 2020

In this study, the effects of groundwater artificial recharge through vertical wells in the upper small basin are preliminarily evaluated by using field injection test and a 3-D numerical model. The injection rate per well in a model is set to 20, 37.5, 60, and 75 ㎥/day based on the results of field injection test, groundwater levels, and hydraulic conductivities estimated from particle size analysis, and a numerical model using MODFLOW is conducted for 28 cases, which have diverse injection intervals, in order to estimated the changes of groundwater level and water balance after injection. Groundwater level after injection does not show a linear relationship with the injection rate per well, and the cumulative effect of artificial recharge decreases and the timing of maximum water level rise is shortened as the injection interval becomes longer. In four cases of continuous injection with total injection rate of 1,200 ㎥, it is revealed that the recharge effect is analyzed as 36.5~65.3% of the original injection rate. However, it will be more effective if the artificial recharge system combined with underground barrier is introduced for the longer pumping during a long and severe drought. Additionally, it will be possible to build a stable artificial recharge system by an establishment of efficient scenario from recharge to pumping as well as an optimization of recharge facilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.610-616
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• 2018

A variety of creative convergence education studies have been conducted around the world, but the study of creative convergence education based on problem-oriented learning is insignificant. STEAM education development research for engineering human resources also recognizes important factors like ethics awareness and consideration, cooperation, leadership, and communication skills. This study developed a model of interdisciplinary classes between marketing and commercial English classes as a way to effectively learn to cultivate the creative and fusion talents required by modern society. A model was developed for the process of convergence classes to be developed for evaluation after class by designing courses, selecting subjects, designing classes, drawing questions, and developing problems, as well as for discussion of pre-convergence courses, class performance, and class evaluation. The Mongolian university discussed in this paper plans to introduce a suitable educational environment by developing a problem for interdisciplinary classes in marketing and business English. Based on the need to nurture talent required by the rapidly changing knowledge-based society, Mongolian universities should continue the strategy of fostering creative convergence talent through the convergence of technology. This is because creativity is the most important thing in the current situation.

• Journal of Korean Society for Atmospheric Environment
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• v.33 no.5
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• pp.497-514
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• 2017

This study quantitatively analyzes the effects of emission inventory choices on the simulated particulate matter (PM) concentrations and the domestic/foreign contributions in the Seoul Metropolitan Area (SMA) with an air quality forecasting system. The forecasting system is composed of Weather Research and Forecasting (WRF)-Sparse Matrix Operator Kernel Emissions (SMOKE)-Community Multi-Scale Air Quality (CMAQ). Different domestic and foreign emission inventories were selectively adopted to set up four sets of emissions inputs for air quality simulations in this study. All modeling cases showed that model performance statistics satisfied the criteria levels (correlation coefficient >0.7, fractional error <50%) suggested by previous studies. Notwithstanding the apparently good model performance of total PM concentrations by all emission cases, annual average concentrations of simulated total PM concentrations varied up to $20{\mu}g/m^3$ (160%) depending on the combination of emission inventories. In detail, the difference in simulated annual average concentrations of the primary PM coarse (PMC) was up to $25.2{\mu}g/m^3$ (6.5 times) compared with other cases. Furthermore, model performance analyses on PM species showed that the difference in the simulated primary PMC led to gross model overestimation in general, which indicates that the primary PMC emissions need to be improved. The contribution analysis using model direct outputs indicated that the domestic contributions to the annual average PM concentrations in the SMA vary from 44% to 67%. To account for the uncertainty of the simulated concentration, the contribution correction factor method proposed by Bae et al. (2017) was applied, which resulted in converged contributions(from 48% to 57%). We believe this study shows that it is necessary to improve the simulated concentrations of PM components in order to enhance the accuracy of the forecasting model. It is deemed that these improvements will provide more accurate contribution results.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.315-320
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• 2014

Composition is a creative activity of a composer in order to express his or her emotion into melody based on their experience. However, it is very hard to implement an automatic composition program whose composition process is the same as the composer. On the basis that the creative activity is possible from the imitation we propose a method to implement an automatic composition system using the learning capability of ANN(Artificial Neural Networks). First, we devise a method to convert a melody into time series that ANN can train and then another method to learn the repeated melody with melody bar for correct training of ANN. After training of the time series to ANN, we feed a new time series into the ANN, then the ANN produces a full new time series which is converted a new melody. But post processing is necessary because the produced melody does not fit to the tempo and harmony of music theory. In this paper, we applied a tempo post processing using tempo post processing program, but the harmony post processing is done by human because it is difficult to implement. We will realize the harmony post processing program as a further work.

• KSBB Journal
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• v.20 no.4
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• pp.278-284
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• 2005

An immunosuppressive agent, human cytotoxic T lymphocyte antigen 4 (hCTLA4), is used for the prevention of graft rejection and treatment of autoimmune diseases. hCTLA4-Ig, a CTLA4-immunoglobulin fusion protein, was produced and secreted from transgenic rice cell suspension cultures using rice a-amylase (RAmy3D) expression system. In this system, hCTLA4-Ig expression was regulated metabolically by sugar starvation. For the purpose of improving hCTLA4-Ig production, the effects of osmotic pressure was investigated in suspension cultures of transgenic rice cells. The highest production level was achieved at 40 mM sorbitol $(140\;mOsm{\cdot}kg^{-1}\;H_2O)$. Using the medium with 8 mM glucose, the level of hCTLA4-Ig in the medium reached 45.3 mg/L. By adjusting the osmotic pressure of induction medium, it was found that the hCTLA4-Ig production could be increased up to 2.1-fold compared with that in batch culture.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.12
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• pp.17-26
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• 1998

Ultrasonic sensors are widely used in various applications due to advantages of low cost, simplicity in construction, mechanical robustness, and little environmental restriction in usage. But for the application of object recognition, ultrasonic sensors exhibit several shortcomings of poor directionality which results in low spatial resolution of objects, and specularity which gives frequent erroneous range readings. The time-of-flight(TOF) method generally used for distance measurement can not distinguish small object patterns of plane, corner or edge. To resolve the problem, an increased number of the sensors in the forms of a linear array or 2-dimensional array of the sensors has been used. Also better resolution has been obtained by shifting the array in several steps using mechanical actuators. Also simple patterns are classified based on analyzing signal reflections. In this paper we propose a method of a sensor array system with improved capability in pattern distinction using electronic circuits accompanying the sensor array, and intelligent algorithm based on neuro-fuzzy processing of data fusion. The circuit changes transmitter output voltages of array elements in several steps. A set of different return signals from neighborhood sensors is manipulated to provide enhanced pattern recognition in the aspects of inclination angle, size and shift as well as distance of objects. The results show improved resolution of the measurements for smaller targets.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.127-146
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• 2020

Overseas advanced countries are aware of the importance of research equipment and are providing a lot of policy support to revitalize the research equipment industry. However, Korea does not have any law to support policies or related projects to revitalize the research equipment industry. Therefore, there is an urgent need for legislation to support policies and projects for revitalizing research equipment industry. It is considered necessary to establish a separate special law for revitalizing the research equipment industry so that it can gain competitiveness in the global market of the research equipment industry. As we have seen, the necessary articles in the relevant laws should be specified so that various promotion policies can be developed to foster the research equipment industry. In order to promote the development of research equipment industry, there are three essential items to be specified in the law. First is research and development support, second is infrastructure development, and third is business incubation. The following contents should be included in each contents. First of all, "research and development support" includes research and envelopment project promotion and support policy items, research equipment development trends and investment trends, joint research between industry, academia, And research and development support for fusion, hybrid and commercialization. Next, the items to be included in "infrastructure development" should include the establishment of research equipment clusters, related support items, training of professional manpower, and research equipment development base area and institutions. Finally, the items that should be included in "business incubation." include support matters for the development of excellent companies (priority purchase system, etc.), matters related to technology transfer and marketing, matters concerning the protection of intellectual property, And matters for promoting overseas expansion.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.51-55
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• 2003

본 연구는 조사대상지역인 전라남도 해남군 전역에 대해 현장조사된 지질 및 지하수 양수량 자료등과 같은 수리정보를 종합적으로 분석하고 이를 Landsat 영상자료과의 영상융합 과정을 통해 지하수 부존가능성에 대한 수리 지질 지표정보로 추출함으로서 지하수 특성정보를 위성영상정보와 연계하여 효과적으로 도시하고자 하였다. 현장조사시 획득된 자료는 해남지역을 11개 소유역으로 구분한 후 각 구역에 대한 2000여개 관점에서 측정된 양수량과 안정지하수위를 이용하여 산출한 비용출량 자료(groundwater specific capacity)와 각 소 유역 (unit watershed)에 대한 선구조 분석자료, 지질별 분포, 정밀고도자료를 추출하여 산출한 고도, 경사도 분포, 수계패턴과 수계밀도로서 이를 통합적으로 분석하여 해남지역에 대한 지하수 특성을 파악하고자 하였다. 위성영상자료의 처리과정은 Landsat 5 TM 영상자료는 '86. 12. 11 및 '98. 12. 28에 촬영된 WRS(World Reference System) Row-Path116-36로서, 1986년 영상은 12년 차이의 해남의 변화지역을 탐지하기 위한 영상자료로서 활용하였으며 98년 영상을 주요 분석 자료로 이용하였으며 지표 이용정보 추출은 크게 수역추출, 식생분포추출, 지표분류도, 변화탐지영역추출로 구분된다. 본 연구방법은 크게 위성영상분석을 통해 추출된 정보와 지표조사를 통해 획득된 선구조 및 지하수 정보를 Data fusion 방식으로 이용되고 있는 IHS 변환 기법을 통해 본 역에 대한 지하수 정보 및 간척지 등에 의한 지표 개발에 따른 지하수 부존 가능성을 탐색하기 위한 현황을 효과적인 자료로 표현하고자 하였다.및 스페클 잡영 제거 정도에 있어 다른 필터들과 큰 차이가 없지만 경계선보존지수는 다른 필터들에 비하여 가장 우수함을 확인할 수 있었다.rbon 탐식효율을 조사한 결과 B, D 및 E 분획에서 유의적인 효과를 나타내었다. 이상의 결과를 종합해볼 때, ${\beta}$-glucan은 고용량일 때 직접적으로 또는 $IFN-{\gamma}$ 존재시에는 저용량에서도 복강 큰 포식세로를 활성화시킬 뿐 아니라, 탐식효율도 높임으로써 면역기능을 증진 시키는 것으로 나타났고, 그 효과는 crude ${\beta}$-glucan의 추출조건에 따라 달라지는 것을 알 수 있었다.eveloped. Design concepts and control methods of a new crane will be introduced in this paper.and momentum balance was applied to the fluid field of bundle. while the movement of′ individual material was taken into account. The constitutive model relating the surface force and the deformation of bundle was introduced by considering a representative prodedure that stands for the bundle movement. Then a fundamental equations system could be simplified considering a steady state of the process. On th

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.559-568
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• 2020

Epidermal growth factor (EGF) is a hormone protein that affects cell growth and proliferation, and has various medical applications. In the present study, the gene of human EGF was codon-optimized with E. coli and the expression vector was constructed by cloning into pRSET. In order to obtain the recombinant human EGF in an active form rather than an inclusion body, chaperone co-expression was attempted along with codon optimization, for the first time. The expressed human EGF was isolated in the pure form by performing Ion Exchange Chromatography in two consecutive runs. ELISA analysis showed that the activity of purified EGF was greater than 99%, which is similar to commercially available EGF. Cell proliferation test confirmed that the recombinant human EGF has the ability to promote cell proliferation of human skin fibroblasts. The human EGF expression system of this study gives a significant amount of protein, and does not require the renaturation step and the additional chromatographic system to remove a fusion contaminant, thereby providing a very useful alternative to conventional expression systems for the preparation of recombinant human EGF.