• International Journal of Advanced Culture Technology
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• v.4 no.1
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• pp.37-50
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• 2016

In recent years, the development and application of green energy resources have attracted more and more /$^*$ 'tention of people. The training room presented here is focused on the terminal applications of a photovoltaic power generation system (PPGS). Through introducing the composition and the general design principles, we aimed at leading the students to master the fundamental skills required for its design, installation and construction. The training room consists of numerous platforms, such as: PPGS, Wind and Photovoltaic Hybrid Power Generation Systems, Wind Power Generation Equipments, Simulative Grid-Connected Power Generation System, Electronic Technology Application of New Energy, etc. This enables the students to obtain their project and professional skills training via assembling, adjusting, maintaining and inspecting, etc., various component parts of the photovoltaic and new energy power generation systems, to further grasp the fundamental and related theoretical knowledge, and to further reinforce their practical and operational skills, so as to improve their problem-analyzing and problem-solving abilities.

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2003.04a
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• pp.93-93
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• 2003

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2003.05a
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• pp.319-323
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• 2003

In this paper, we propose a hybrid transceiver for underwater acoustic communication, which allows the system to reduce complexity and increase robustness in time variant underwater channel environments. It is designed in the digital domain except for amplifiers and implemented by using a multiple digital signal processors (DSPs) system. The digital modulation technique is quadrature phase shift keying (QPSK) and frame synchronization is an energy (non-coherent) detection scheme based on the quadrature receiver structure. DSP implementation is based on block data parallel architecture (BDPA). We shaw experimental results in th? underwater anechoic basin at KRISO. The results indicate that the frame synchronization is performed without PLL. Also, we shaw that the adaptive equalizer can compensate frame synchronization error and the correction capability is dependent on the length of equalizer.

• Geophysics and Geophysical Exploration
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• v.25 no.1
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• pp.26-37
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• 2022

Recently, multiple methods using small aircraft for geophysical exploration have been suggested as a result of the development of information and communication technology. In this study, we introduce the hybrid unmanned aircraft electromagnetic system of the Korea Institute of Geosciences and Mineral resources, which is under development. Additionally, data processing and interpretation methods are suggested via the analysis of datasets obtained using the system under development to verify the system. Because the system uses a three-component receiver hanging from a drone, the effects of rotation on the obtained data are significant and were therefore corrected using a rotation matrix. During the survey, the heights of the source and the receiver and their offsets vary in real time and the measured data are contaminated with noise. The noise makes it difficult to interpret the data using the conventional method. Therefore, we developed a recurrent neural network (RNN) model to enable rapid predictions of the apparent resistivity using magnetic field data. Field data noise is included in the training datasets of the RNN model to improve its performance on noise-contaminated field data. Compared with the results of the electrical resistivity survey, the trained RNN model predicted similar apparent resistivities for the test field dataset.

• Journal of Aquaculture
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• v.9 no.2
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• pp.133-140
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• 1996

Hybird and allotriploid between female rainbow trout (Oncorhynchus mykiss) and male coho salmon (O. kisutch) were produced by artificial fertilization and heat shocks. Hatching and survival rate of allotriploid at 2 month after hatching was $77.6\%$ and $54.5\%$ respectively, and these rates clearly exceeded those of their hybrid. Cell and nuclear sizes of the erythrocyte of hybrid were intermidiate of their parents and those of allotriploid were larger than thier hybird. The somatic chromosome number of viable hybrid was 2n = 60 and that of allotriploid was $90\~93$ with chromosomal polymorphism. Allotriploid karyotpe was constituted by two sets of rainbow trout chromosome and one set of coho salmon chromosome.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.106-106
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• 2017

The soybean [Glycine max (L.) Merr.] is one of the most important crop resources worldwide as food and forage. It is also important and valuable that to hold crop resources to have high genetic diversities. Recently, a core collection has been constructed in many plants to preserve the genetic resources of various plants. A core collection is small population to represent the genetic diversity of the total collection, and is of strategic importance as they allow the use of a small part of a germplasm collection that is representative of the total collection. Here, we developed the core collection consisting of 816 accessions by using approximately 180,000 (180K) single nucleotide polymorphisms (SNPs) developed in previous study. In addition, we performed genetic diversity and population structure analysis to construct the core collection from entire 4,392 collections. there were excluded sample call rates less than 93% and duplicated samples more than 99.9% according to genotype analysis using 180K SNPs from entire collections. Furthermore, we were also excluded natural hybrid resources which Glycine max and Glycine soja are mixed in half through population structure analysis. As a result, we are constructed the core collection of genetic diversity that reflects 99% of the entire collections, including 430 cultivated soybeans (Glycine max) and 386 wild soybeans (Glycine soja). The core collection developed in this study should be to provide useful materials for both soybean breeding programs and genome-wide association studies.

• Smart Structures and Systems
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• v.14 no.6
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• pp.1151-1172
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• 2014

This paper presents a user programmable computational/control platform developed to conduct real-time hybrid simulation (RTHS). The architecture of this platform is based on the integration of a real-time controller and a field programmable gate array (FPGA).This not only enables the user to apply user-defined control laws to control the experimental substructures, but also provides ample computational resources to run the integration algorithm and analytical substructure state determination in real-time. In this platform the need for SCRAMNet as the communication device between real-time and servo-control workstations has been eliminated which was a critical component in several former RTHS platforms. The accuracy of the servo-hydraulic actuator displacement control, where the control tasks get executed on the FPGA was verified using single-degree-of-freedom (SDOF) and 2 degrees-of-freedom (2DOF) experimental substructures. Finally, the functionality of the proposed system as a robust and reliable RTHS platform for performance evaluation of structural systems was validated by conducting real-time hybrid simulation of a three story nonlinear structure with SDOF and 2DOF experimental substructures. Also, tracking indicators were employed to assess the accuracy of the results.

• Korean Journal of Plant Resources
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• v.21 no.4
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• pp.341-345
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• 2008

Two orchid species of Calanthe discolor Lindl. and C. discolor for. sieboldii (Decne.) Ohwi, which have different form flower color and size. They were crossed in mid April by artificial pollination, and the F1 hybrid seeds were collected mid October. Germination of seeds was investigated on pre-treatment of seeds and under the various environmental conditions. Germination was promoted by moisture absorption and ultrasonic treatment of seeds. Dark culture of F1 hybrid seeds enhanced germination and protocorm formation, and development into seedlings compared with light culture. Although, plant growth regulators such as NAA and BA had a slightly promotive effect on seed germination and protocorm growth, regenerated seeding were showed abnormal growth patterns. Regenerated F1 hybrid plantlets were successfully transferred to pot.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.45 no.5
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• pp.347-351
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• 2000

Rye has been a major winter forage crop in Korea. Varietal improvement of rye has been practiced either by hybrid or population breeding systems. Hybrid breeding offers important advantages over population breeding since it is normally a cross-pollinated crop. The hybrid breeding in rye has been possible since cytoplasmically inherited forms of male sterility (CMS) and corresponding nuclear restorer genes were found. The objectives of this research were to develop the maintainer and restorer lines of Korean inbred lines and to estimate the effect of 'Pampa' type of CMS cytoplasm on yield and its related characteristics. For easy discrimination of male-sterile status of plants, anther scoring and the restore index system in which seed-setting and pollen quantity of viability were taken into account were established. High significant correlation between pollen quantity and pollen viability was found. For "Pampa" cytoplasm, four of 14 Korean inbred lines tested turned out to be a maintainer but no restorer was found. But for "235b" CMS cytoplasm, seven inbred lines acted as complete restorers. The Korean inbred rye lines acted mainly as maintainers in "Pampa" cytoplasm but acted mainly as restorer in "235b" cytoplasm. The 'Pampa' cytoplasm inducing male sterility reduced cohn length and plant height and increased the number of tiller, so forage yield and grain yield were enhanced. However, heading date was slightly delayed compared to the normal cytoplasm.elayed compared to the normal cytoplasm.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.363-363
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• 2019

활성화 함수(activation function)는 기계학습(machine learning)의 학습과정에 비선형성을 도입하여 심층적인 학습을 용이하게 하고 예측의 정확도를 높이는 중요한 요소 중 하나이다(Roy et al., 2019). 일반적으로 기계학습에서 사용되고 있는 활성화 함수의 종류에는 계단 함수(step function), 시그모이드 함수(sigmoid 함수), 쌍곡 탄젠트 함수(hyperbolic tangent function), ReLU 함수(Rectified Linear Unit function) 등이 있으며, 예측의 정확도 향상을 위하여 다양한 형태의 활성화 함수가 제시되고 있다. 본 연구에서는 기계학습을 통하여 수위예측 시 정확도 향상을 위하여 Hybrid 활성화 함수를 제안하였다. 연구대상지는 조수간만의 영향을 받는 한강을 대상으로 선정하였으며, 2009년 ~ 2018년까지 10년간의 수문자료를 활용하였다. 수위예측 알고리즘은 Python 내 Tensorflow의 RNN (Recurrent Neural Networks) 모델을 이용하였으며, 강수량, 수위, 조위, 댐 방류량, 하천 유량의 수문자료를 학습시켜 3시간 및 6시간 후의 수위를 예측하였다. 예측정확도 향상을 위하여 입력 데이터는 정규화(Normalization)를 시켰으며, 민감도 분석을 통하여 신경망모델의 은닉층 개수, 학습률의 최적 값을 도출하였다. Hybrid 활성화 함수는 쌍곡 탄젠트 함수와 ReLU 함수를 혼합한 형태로 각각의 가중치($w_1,w_2,w_1+w_2=1$)를 변경하여 정확도를 평가하였다. 그 결과 가중치의 비($w_1/w_2$)에 따라서 예측 결과의 RMSE(Roote Mean Square Error)가 최소가 되고 NSE (Nash-Sutcliffe model Efficiency coefficient)가 최대가 되는 지점과 Peak 수위의 예측정확도가 최대가 되는 지점을 확인할 수 있었다. 본 연구는 현재 Data modeling을 통한 수위예측의 정확도 향상을 위해 기초가 되는 연구이나, 향후 다양한 형태의 활성화 함수를 제안하여 정확도를 향상시킨다면 예측 결과를 통하여 침수예보에 대한 의사결정이 가능할 것으로 기대된다.