• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.419-424
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• 2012

This paper discusses the state-of-the-art techniques in real-time state estimation for the Smart Microgrids. The most popular method used in traditional power system state estimation is a Weighted Least Square(WLS) algorithm which is based on Maximum Likelihood(ML) estimation under the assumption of static system state being a set of deterministic variables. In this paper, we present a survey of dynamic state estimation techniques for Smart Microgrids based on Belief Propagation (BP) when the system state is a set of stochastic variables. The measurements are often too sparse to fulfill the system observability in the distribution network of microgrids. The BP algorithm calculates posterior distributions of the state variables for real-time sparse measurements. Smart Microgrids are modeled as a factor graph suitable for characterizing the linear correlations among the state variables. The state estimator performs the BP algorithm on the factor graph based the stochastic model. The factor graph model can integrate new models for solar and wind correlation. It provides the Smart Microgrids with a way of integrating the distributed renewable energy generation. Our study on Smart Microgrid state estimation can be extended to the estimation of unbalanced three phase distribution systems as well as the optimal placement of smart meters.

• Journal of Korea Water Resources Association
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• v.34 no.6
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• pp.701-711
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• 2001

Forecasting of water quality variation is not an easy process due to the complicated nature of various water quality factors and their interrelationships. The objective of this study is to test the applicability of neural network models to the forecasting of the water quality at Gongju station in Geum River. This is done by forecasting monthly water qualities such as DO, BOD, and TN, and comparing with those obtained by ARIMA model. The neural network models of this study use BP(Back Propagation) algorithm for training. In order to improve the performance of the training, the models are tested in three different styles ; MANN model which uses the Moment-Adaptive learning rate method, LMNN model which uses the Levenberg-Marquardt method, and MNN model which separates the hidden layers for judgement factors from the hidden layers for water quality data. the results show that the forecasted water qualities are reasonably close to the observed data. And the MNN model shows the best results among the three models tested

• Applied Biological Chemistry
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• v.41 no.2
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• pp.160-165
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• 1998

Current discriminating technique of rice variety is known to be not objective till this time because of depending on naked eye of well trained inspector. DNA finger print method based on genetic character of rice has been indicated inappropriate for on-site application, because the method need much labor and skilled expert. The purpose of this study was to develops the identification technique of polished rice varieties using CCD camera images. To minimize the noise of the captured image, thresholding and median filtering were carried out, and edge was extracted from the image data. Image data after pretreatment of normalize and FFT(fast fourier transform) were used for library model and feedforward backpropagation neural network model. Image processing technique using CCD camera could discriminate the variety of rice with high accuracy in case of quite different rice of shape, but the accuracy was reached at 85% in the similar shape of rice.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.5
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• pp.528-535
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• 2000

This paper aims at providing guidelines enabling productive software construction by offering reusable modules which is used not only for effective maintenance for each step, but also for a re-engineering process after analyzing developed source code. There are four processing steps. The first is to analyze source code. The second is module slicing and clustering using McCabe and BP/Win Tools, The third is to transform the outputs extracted from the business model to reusable modules. The final step is to design repository and to construct a system. In this paper, we applied the fourth step to our case study, which was specified from the first step to the fourth. The specified fourth step contains various things for constructing repository. And the fourth step reanalyzes informal and unstructured information by using reverse engineering tools, in order to provide effective guidelines for productive software maintenance and re-engineering.

• The Korean Journal of Quaternary Research
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• v.22 no.1
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• pp.28-36
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• 2008

The present study has focused on the environmental changes and evidences for sedimentation in the Lake Khuvsgul catchment during the Holocene period, inferred from short core sediment (BO03) from the eastern shore of Borsog Bay, which were analyzed in order to review records of the Holocene climatic evolution and Holocene history in Northern Mongolia. For the purpose of reconstruction of natural phenomenon that occurred in the lake catchment system during the Holocene, physical and chemical properties including HCl-soluble material, biogenic silica, organic matter and grain size distribution of minerals in the core sediments have been analyzed in this study. The vertical variations in composition for these properties show distinctly that five lines of paleoenvironmental evidence occurred in the lake catchment during the Holocene. A modified age model resulting from AMS carbon dating for the BO03 core sediment shows timings of these environmental events at 9.5 Kyr BP, 8.0 Kyr BP, 5.6 Kyr BP and 3.2 Kyr BP, respectively. Paleoenvironmental changes in the Lake Khuvsgul catchment system during the Holocene highlight distinctive features of the hydrological regime and geomorphologic evolution in the lake catchment due to regional landscape and global climatic changes corresponding with the Holocene optimum and thermal optimum. In particular, the change of hydrologic regime based on the sedimentological evidence has been caused by not only overland flow due to melting water, but also base flow due to thick permafrost around Khuvsgul region.

• Korean Journal of Construction Engineering and Management
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• v.24 no.3
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• pp.3-11
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• 2023

This research examines the need for a quantitative and objective method of calculating baseline productivity in the construction industry, which is known for its high volatility in performance and productivity. The existing literature's baseline productivity calculation methods rely heavily on subjective criteria, limiting their effectiveness. Additionally, data collection methods such as the "Five-minute Rating" are costly and time-consuming, making it challenging to collect detailed data at construction sites. To address these issues, this study proposes an objective baseline calculation method using unimpacted productivity BP, a work check sheet to systematically record detailed data, and a data collection and utilization process that minimizes cost and time requirements. This paper also suggests using unimpacted productivity BP and comparative analysis to address the objectivity and reliability issues of existing baseline productivity calculation methods.

• The Bulletin of The Korean Astronomical Society
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• v.29 no.2
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• pp.42.1-42.1
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• 2004

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.1 no.1
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• pp.38-45
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• 2015

Most tumors are believed to overexpress several receptors, and small peptides targeting these receptors were developed for diagnosis and tumor therapy during past decade. Here we report that fibroadenoma can be visualized by bladder cancer specific peptide. A 9-mer bladder cancer specific peptide, which was discovered from the phage display method, was synthesized by peptide synthesizer, and additional tyrosine was conjugated at the N-terminal for radioiodination (Y-BP). Y-BP was radiolabeled with $^{131/124}I$ using Iodogen tube. The rat treated with N-butyl-N-(4-hydroxybutyl)nitrosamine for 8 weeks was allowed to grow until large size tumor was developed under axilla. The tumor model was microPET imaged sequentially using [$^{18}F$]FDG and radioiodinated $^{124}I-Y-BP$. The tumor was excised and examined by immunostaining studies. Radioiodinated $^{124}I-Y-BP$ was purified using fast protein liquid chromatography (FPLC) in > 90% radiochemical purity. The whole tumor was well visualized by [$^{18}F$]FDG with several intense focal uptake within tumor. The tumor was also clearly seen with $^{124}I-Y-BP$ at 4 h post-injection, and to our surprise the tumor uptake of $^{124}I-Y-BP$ lasted up to three days. The tumor was diagnosed histologically as a fibroadenoma derived from mammary gland. In conclusion, the bladder cancer specific peptide showed the good potential as a new radiotracer for the detection of breast fibroadenoma.

• Journal of Life Science
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• v.31 no.3
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• pp.346-355
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• 2021

The purpose of this study was to evaluate the possibility that administration of Bacillus polyfermenticus KJS-2 (BP2), Bacillus mojavensis KJS-3 (Moja3), and their mixtures could control serum lipid levels. We observed changes in the blood cell level, metabolic function evaluation, and blood lipid levels after two weeks of oral administration of these microbial strains to hyperlipidemia-induced rats. Measurements of major cell changes in the white blood cells (WBC) indicated no significant effects due to the administration of the microbial strains. Platelet (PLT) levels decreased by 18.4% in the Triton WR-1339-treated group (NCON) and recovered to the control (CON) group levels in the positive control (PCON) group and the microbial strain-administered groups (p<0.05). No functional changes were observed in red blood cells (RBC) by Triton WR-1339-induced hyperlipidemia. The blood AST, ALT, BUN, and creatinine levels did not indicated effects on liver and kidney function, and all rats administered the microbial mixture recovered. The blood lipid levels in the microbe-treated groups indicated reduced levels of triglyceride (TG) and total cholesterol (TC), and increased levels of serum HDL cholesterol. The HMG-CoA inhibition rate of 7-O-succinyl macrolactin A (SMA) produced by BP2 showed similar activity at a concentration of 1,000 times lower than that achieved with atorvastatin. The administration of the microbial strains to the Triton WR-1339-induced rat model of hyperlipidemia resulted in reduced weight gain without affecting the food and water intake. Thus, blood circulation can be improved by controlling serum lipid levels by the combined administration of the BP2 and Moja3 microbial strains.

• Korean Journal of Plant Resources
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• v.27 no.3
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• pp.249-255
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• 2014

The rice belonging to Oryza sativa is not only has significant economic importance, for it is the major source of nutrition for about 3 billion all around the world. But also plays a vital role as a model organism, because it has a number of advantages to be a model plant, such as efficient transformation system and small genome size. Many methods and techniques have been conducted to attempt to distinguish different Oryza sativa species, such as amplified fragment length polymorphism (AFLP), random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR) and so on. However, studies using sequence analysis of internal transcribed spacer (ITS), a region of ribosomal RNA has not been reported until now. This study was undertaken with an aim to understand the phylogenetic relationships among sixteen isolates of Oryza sativa collected from abroad and fifteen isolates collected from Korea, using ribosomal RNA (rRNA) internal transcribed spacer (ITS) sequences to compare the phylogeny relationships among different Oryza sativa species. The size variation obtained among sequenced nuclear ribosomal DNA (nrDNA) ITS region ranged from 515bp to 1000bp. The highest interspecific genetic distance (GD) was found between Sfejare 45 (FR12) and Anapuruna (FR15). Taebong isolate showed the least dissimilarity of the ITS region sequence with other thirty isolates. This consequence will help us further understanding molecular diversification in intra-species population and their phylogenetic analysis.