• Reproductive and Developmental Biology
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• v.36 no.2
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• pp.121-131
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• 2012

After spermatogenesis, spermatozoa come in contact with fluids in the epididymis where they mature. During ejaculation, spermatozoa are mixed with secretions from prostate gland, vesicular glands, and bulbourethral glands. During natural mating, seminal plasma is deposited in the female reproductive tract eliciting various physiological and immunological responses. With the advances in proteomics, the components of seminal plasma have been identified and the information may be valuable in identifying markers for fertility. Components of seminal plasma that affect fertility have been discovered and the mechanism of action of these factors has been determined. The objective of this study was to determine the specific seminal plasma proteins from Korean native cattle, Hanwoo, and Korean native brindle cattle (KNBC) with the long term goal of improving fertilization rate. After SDS-PAGE and 2-dimensional gel electrophoresis, proteins were identified by Q-ToF analysis. They include plasma serine protease inhibitor precursor and platelet-activating factor acetylhydrolase after SDS-PAGE. Number and density of the spots in 2-dimensional gels were higher in KNBC than Hanwoo. Proteins identified from the paired spots of both breeds include chain A, bull seminal plasma PDC-109 Fibronectin Type II module, BSP-30 kDa precursor, and Spermadhesin Z13 or its precursor. Interestingly, some proteins were identified from multiple spots. The functional differences of these diverse forms of the proteins may require further studies. With their previously reported roles in sperm capacitation by these proteins, the studies on the mechanism of action, ligand interaction and the variation in the genome may help improving fertility in cattle.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.6
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• pp.1526-1537
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• 1998

The split-screen function on the multipoint control unit(MCU) which is usually using processing method based on pixel domain has many problems for manipulating the video signal in real-time. Although the researches and the developements to cope ith such problems are processing, these have too complex architecture to implement and are limited to method for H.261 video signal. In this paper, we propose a new mechanism for split-screen that can actually apply to ISO/IEC MPEG video standard. The new method that is proposed in this paper do the processes in complete compression domain, thus it is suitable for the application of real-time multipoint multimedia communication service. By simple interpreting and manipulating the MPEG video element stream, the split-screen functional module can be implemented easily and the result of the procedures does not accompany image degradation at all. Finally, the complexity of implementation, the aspect for processing delay and the loss of image quality as compared to that resulting in the case of applying the previous split-screen method has been investigated. And it is confirmed that the proposed mechanism has a significant advantage as a split-screen method.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.292-298
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• 2008

Seoul Metro and Seoul Metropolitan Rapid Transit Corp. have started installing screen doors at subway platforms to improve the environment of subways and prevent passengers' accidents since 2006. They are still installing screen doors at subway platforms and Metropolitan Rapid Transit Corporations in other areas are also proceeding with installment of screen doors or making preparations for it. Grounding is necessary for installing PSD systems. In case that PSD grounding is connected with existing electrical equipment grounding system, it was decided to install separate grounding for safe operation of PSD system and passenger safety. However, it's very difficult to install new grounding at the subway station compound. A way to improve this condition is that we proceed with grounding by composing grounding station by carbon grounding rod. This paper will mainly deal with how to design and construct carbon ground rod, which has been applied to PSD system grounding since 2006, including its experimental examples. In this paper, ways to secure ground resistance below 5 ohms, which is resistance necessary for PSD grounding, and to compose grounding system were also discussed. Furthermore, a ground test to check the ability to fulfill a role of PSD grounding system was conducted. As a result of applying carbon grounding module, PSD system is being operated without any problem and the installment of PSD system will be continuously expanded in the future. It's also thought that a way to integrate grounding of each functional room which has been installed at the subway station compound and to arrange equipotential grounding should be reviewed and performed promptly.

• Molecules and Cells
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• v.41 no.9
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• pp.842-852
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• 2018

Notch signaling is an evolutionarily conserved pathway and involves in the regulation of various cellular and developmental processes. Ligand binding releases the intracellular domain of Notch receptor (NICD), which interacts with DNA-bound CSL [CBF1/Su(H)/Lag-1] to activate transcription of target genes. In the absence of NICD binding, CSL down-regulates target gene expression through the recruitment of various corepressor proteins including SMRT/NCoR (silencing mediator of retinoid and thyroid receptors/nuclear receptor corepressor), SHARP (SMRT/HDAC1-associated repressor protein), and KyoT2. Structural and functional studies revealed the molecular basis of these interactions, in which NICD coactivator and corepressor proteins competitively bind to ${\beta}-trefoil$ domain (BTD) of CSL using a conserved ${\varphi}W{\varphi}P$ motif (${\varphi}$ denotes any hydrophobic residues). To date, there are conflicting ideas regarding the molecular mechanism of SMRT-mediated repression of CSL as to whether CSL-SMRT interaction is direct or indirect (via the bridge factor SHARP). To solve this issue, we mapped the CSL-binding region of SMRT and employed a 'one- plus two-hybrid system' to obtain CSL interaction-defective mutants for this region. We identified the CSL-interaction module of SMRT (CIMS; amino acid 1816-1846) as the molecular determinant of its direct interaction with CSL. Notably, CIMS contains a canonical ${\varphi}W{\varphi}P$ sequence (APIWRP, amino acids 1832-1837) and directly interacts with CSL-BTD in a mode similar to other BTD-binding corepressors. Finally, we showed that CSL-interaction motif, rather than SHARP-interaction motif, of SMRT is involved in transcriptional repression of NICD in a cell-based assay. These results strongly suggest that SMRT participates in CSL-mediated repression via direct binding to CSL.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.643-648
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• 2003

In order to provide efficient retrieving results for user query on the web environment, the various searching algorithms have developed and considered user's preference and convenience. However, the searching algorithms are developed on the horizontal and non hierarchical web environment in general and could not apply to the complex hierarchical and functional web environments such like the enterprise network. In this paper, we purpose the multi-agent based web mining system which can provide the efficient mining results to the user on the special web environment. For doing this, we suggest the network model with the hierarchical web environment and model the multi agent based web mining system which has four corporation agents and fourteen process modules. Then, we explain the detailed functions of each agent considered the hierarchical environment according to the module. Especially, we purpose the new merging agent and improved ranking algorithm by using the graph theory.

• Physical Therapy Korea
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• v.25 no.3
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• pp.39-50
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• 2018

Background: High string instrument (violin, viola) players are at high risk for developing musculoskeletal problems. In particular, a higher prevalence of shoulder problems has been reported. However, evidence of the effectiveness of therapeutic exercise for musicians with this condition is lacking until now. Objects: This case series study investigated the effect of a specific exercise program on shoulder pain, dysfunction, and posture of professional orchestral high string musicians. Methods: Five professional orchestral high string players with shoulder pain participated in this study. A six-week specific exercise program focus on scapular stability for shoulder pain consisted of scapular muscle exercise. Physical examinations for pain and dysfunction, posture were performed, were identified among all subjects before starting the exercise program. Results: The results revealed that shoulder pain decreased by 67.86% and the effect of pain on instrument play decreased by 63.33%. The shoulder pain and disability Index and the performing arts module-quick disability of the arm, shoulder and hand scale decreased by 71.72% and 51.61% respectively. The exercise program improved function and posture. Conclusion: A specific exercise program for high string players was effective in managing shoulder pain. This case series is intended to provide empirical data on the effectiveness of an exercise program aimed at assessing the effect of exercise on pain, dysfunction, and posture of professional orchestra musicians associated with specific instrument groups.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.2
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• pp.399-406
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• 2009

In this study, Polynomial Radial Basis Function Neural Network(pRBFNN) based on Fuzzy Inference System is designed and its parameters such as learning rate, momentum coefficient, and distributed weight (width of RBF) are optimized by means of Particle Swarm Optimization. The proposed model can be expressed as three functional module that consists of condition part, conclusion part, and inference part in the viewpoint of fuzzy rule formed in 'If-then'. In the condition part of pRBFNN as a fuzzy rule, input space is partitioned by defining kernel functions (RBFs). Here, the structure of kernel functions, namely, RBF is generated from HCM clustering algorithm. We use Gaussian type and Inverse multiquadratic type as a RBF. Besides these types of RBF, Conic RBF is also proposed and used as a kernel function. Also, in order to reflect the characteristic of dataset when partitioning input space, we consider the width of RBF defined by standard deviation of dataset. In the conclusion part, the connection weights of pRBFNN are represented as a polynomial which is the extended structure of the general RBF neural network with constant as a connection weights. Finally, the output of model is decided by the fuzzy inference of the inference part of pRBFNN. In order to evaluate the proposed model, nonlinear function with 2 inputs, waster water dataset and gas furnace time series dataset are used and the results of pRBFNN are compared with some previous models. Approximation as well as generalization abilities are discussed with these results.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.79-88
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• 2015

This paper introduces surveillance equipment "ADS-B", the core subject of traffic control system and study of ADS-B 1090ES ground receiver. The standard is set not only for functional but also its reliability by analyzing international standard documents and existing products. The Bias circuit is designed for less power consumption, low noise and high gain for RF module. The signal processing is capable of overcoming its bad conditions. MCU part is configured with the latest CPU for high speed communication with external parts and SNMP is selected for remote control communication. The performance of developed receiver satisfies national and international standards and its functions are more advanced compared to foreign receivers.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.5
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• pp.744-752
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• 2012

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as an one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problems. In data preprocessing part, Principal Component Analysis(PCA) which is generally used in face recognition, which is useful to express some classes using reduction, since it is effective to maintain the rate of recognition and to reduce the amount of data at the same time. However, because of there of the whole face image, it can not guarantee the detection rate about the change of viewpoint and whole image. Thus, to compensate for the defects, Linear Discriminant Analysis(LDA) is used to enhance the separation of different classes. In this paper, we combine the PCA&LDA algorithm and design the optimized pRBFNNs for recognition module. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as two kinds of polynomials such as constant, and linear. The coefficients of connection weight identified with back-propagation using gradient descent method. The output of the pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to face image(ex Yale, AT&T) datasets and then demonstrated from the viewpoint of the output performance and recognition rate.

• Korean Institute of Interior Design Journal
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• v.21 no.3
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• pp.31-39
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• 2012

This is the time we need differentiated strategy due to consumer's standard of purchasing is becoming more complicated and corporate marketing war is intensely competitive. For a long-term strategy, making competitive corporate image is important because companies have their own competitiveness. In addition, importance of having a relationship with customer is magnified through consumers'direct and indirect experience. "The corporate complex cultural space is designed place for experiential marketing to convey its meaning to consumers." Under above concept, this study analyzed the theory of experiential marketing and conducted a survey which is based on experiential marketing strategic module (SEMs) using the analyzed theory. This study drew expression characteristics of space through case analysis and conducted a survey to have more effective corporate complex cultural space. As a result, the experience in the space enables people to understand of the space through five senses, not consist of simply chucks of sense-date, and this result emphasizes the importance of 'Event' because people tend to escape from restriction for reality to relive stress and have emotional satisfaction. In addition, it shows expression characteristics which provide sympathy as a flexible interaction through symbolical image. The result of the expression characteristics' survey is showed up to improve effect of corporate complex cultural space. This study is analyzing the corporate complex cultural space through experience marketing for the company which wants provide differentiated experience of various space expression methods and catching current position. Also, this study places its significance to give a way to increase space preference and effect of corporate complex cultural space. Based on the result of this study, I hope the future corporate complex cultural space will develop refreshingly.