• Journal of the Korean Society for Library and Information Science
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• v.44 no.3
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• pp.137-154
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• 2010

The purpose of this study is to examine the tendency of open access income models in gratis open access journals and fee-based online journals in Korea. This study found that there was no clear difference between two groups and fee-based online journals had several of the same characteristics of open access journals. That is, the societies published fee-based journals have requested APC to authors and additional page charges for the articles with research funding. Also, in case of fee-based online journals, the journals received subsidies from external funding agencies were more than free OA journals. These findings show that fee-based online journals in Korea have a lot of capability to transition to open access journals.

• Transactions on Electrical and Electronic Materials
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• v.14 no.2
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• pp.71-77
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• 2013

Advanced semiconductor manufacturing technology requires methods to maximize tool efficiency and improve product quality by reducing process variability. Real-time plasma process monitoring and diagnosis have become crucial for fault detection and classification (FDC) and advanced process control (APC). Additional sensors may increase the accuracy of detection of process anomalies, and optical monitoring methods are non-invasive. In this paper, we propose the use of a chromatic data acquisition system for real-time in-situ plasma process monitoring called the Plasma Eyes Chromatic System (PECS). The proposed system was initially tested in a six-inch research tool, and it was then further evaluated for its potential to detect process anomalies in an eight-inch production tool for etching blanket oxide films. Chromatic representation of the PECS output shows a clear correlation with small changes in process parameters, such as RF power, pressure, and gas flow. We also present how the PECS may be adapted as an in-situ plasma arc detector. The proposed system can provide useful indications of a faulty process in a timely and non-invasive manner for successful run-to-run (R2R) control and FDC.

• Journal of the Semiconductor & Display Technology
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• v.18 no.2
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• pp.48-52
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• 2019

Virtual metrology, which is one of APC techniques, is a method to predict characteristics of manufactured films using machine learning with saving time and resources. As the photoresist is no longer a mask material for use in high aspect ratios as the CD is reduced, hard mask is introduced to solve such problems. Among many types of hard mask materials, amorphous carbon layer(ACL) is widely investigated due to its advantages of high etch selectivity than conventional photoresist, high optical transmittance, easy deposition process, and removability by oxygen plasma. In this study, VM using different machine learning algorithms is applied to predict the thickness of ACL and trained models are evaluated which model shows best prediction performance. ACL specimens are deposited by plasma enhanced chemical vapor deposition(PECVD) with four different process parameters(Pressure, RF power, $C_3H_6$ gas flow, $N_2$ gas flow). Gradient boosting regression(GBR) algorithm, random forest regression(RFR) algorithm, and neural network(NN) are selected for modeling. The model using gradient boosting algorithm shows most proper performance with higher R-squared value. A model for predicting the thickness of the ACL film within the abovementioned conditions has been successfully constructed.

• International Journal of Control, Automation, and Systems
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• v.3 no.4
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• pp.571-579
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• 2005

In this paper, we proposed an algorithm for arrhythmia classification, which is associated with the reduction of feature dimensions by linear discriminant analysis (LDA) and a support vector machine (SVM) based classifier. Seventeen original input features were extracted from preprocessed signals by wavelet transform, and attempts were then made to reduce these to 4 features, the linear combination of original features, by LDA. The performance of the SVM classifier with reduced features by LDA showed higher than with that by principal component analysis (PCA) and even with original features. For a cross-validation procedure, this SVM classifier was compared with Multilayer Perceptrons (MLP) and Fuzzy Inference System (FIS) classifiers. When all classifiers used the same reduced features, the overall performance of the SVM classifier was comprehensively superior to all others. Especially, the accuracy of discrimination of normal sinus rhythm (NSR), arterial premature contraction (APC), supraventricular tachycardia (SVT), premature ventricular contraction (PVC), ventricular tachycardia (VT) and ventricular fibrillation (VF) were $99.307\%,\;99.274\%,\;99.854\%,\;98.344\%,\;99.441\%\;and\;99.883\%$, respectively. And, even with smaller learning data, the SVM classifier offered better performance than the MLP classifier.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9C
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• pp.826-833
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• 2007

In this paper, we present an adaptive transmission system model to establish the baseline for wireless adaptive transmission using CR (Cognitive Radio) systems, and propose an adaptive transmission scheme based on IT (Interference Temperature) cognition for CR systems in the presented system environment. The proposed CR adaptive transmission scheme is the method that provides the CR user with the maximum transmit power in the range of not causing any interference to the incumbent user and guaranteeing the optimal throughput by applying CR-AMC (CR-Adaptive Modulation and Coding) in the given channel state. Simulation results show that in case of using the proposed CR adaptive transmission scheme, there is little degradation of BER performance, while causing no interference to the incumbent user. At the same time, the proposed scheme guarantees the optimal throughput to the CR user in the given channel state.

• JSTS:Journal of Semiconductor Technology and Science
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• v.11 no.3
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• pp.135-145
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• 2011

Accurate process characterization and optimization are the first step for a successful advanced process control (APC), and they should be followed by continuous monitoring and control in order to run manufacturing processes most efficiently. In this paper, process characterization and recipe optimization methods with multiple outputs are presented in high density plasma-chemical vapor deposition (HDP-CVD) silicon dioxide deposition process. Five controllable process variables of Top $SiH_4$, Bottom $SiH_4$, $O_2$, Top RF Power, and Bottom RF Power, and two responses of interest, such as deposition rate and uniformity, are simultaneously considered employing both statistical response surface methodology (RSM) and neural networks (NNs) based genetic algorithm (GA). Statistically, two phases of experimental design was performed, and the established statistical models were optimized using performance index (PI). Artificial intelligently, NN process model with two outputs were established, and recipe synthesis was performed employing GA. Statistical RSM offers minimum numbers of experiment to build regression models and response surface models, but the analysis of the data need to satisfy underlying assumption and statistical data analysis capability. NN based-GA does not require any underlying assumption for data modeling; however, the selection of the input data for the model establishment is important for accurate model construction. Both statistical and artificial intelligent methods suggest competitive characterization and optimization results in HDP-CVD $SiO_2$ deposition process, and the NN based-GA method showed 26% uniformity improvement with 36% less $SiH_4$ gas usage yielding 20.8 ${\AA}/sec$ deposition rate.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.11a
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• pp.83-83
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• 2009

우수한 압전성을 가지는 PZT는 인체에 유해한 다량의 PbO을 함유하여 심각한 환경문제를 야기함은 물론 제조 공정 중 PbO 휘발 억제 시설 구비에 따른 경제적 부담 등 문제점이 지적되었다. 따라서 환경오염 및 가격경쟁력을 갖추기 위해 현재 무연 조성 세라믹스에 대한 많은 연구가 진행되고 있다. 최근 비납계 압전 세라믹의 연구는 비스무스 레이어형과 페로브스카이트 형 비납계 세라믹스의 연구가 활발히 진행되고 있다. 특히 $(Na,K)NbO_3$ 계는 페로브스카이트 구조를 가지는 비납계 세라믹으로 현재 많은 연구가 진행되고 있다. 이 물질은 PZT계와 유사하게 상전이(morphotropic phase boundary:MPB)영역을 가지고 있 으며 이 영역에서 높은 압전 특성을 보여주고 있다. 최근 $Na_{0.5}K_{0.5}NbO_3$에 $LiTaO_3$를 치환하여 우수한 압전 특성을 지니는 조성이 개발되고 있지만, 보통 소성법으로 제조된 세라믹스는 PZT계 세라믹스와 비교하여 특성이 떨어진다. 본 연구에서는 압전성이 우수한 $(Na_{0.44}K_{0.52}Li_{0.44})(Nb_{0.90}Sb_{0.06}Ta_{0.04})O_3$ 조성에 도너 도핑과 억셉터 도핑을 한 다음 전기기계결합계수, 압전상수, 유전상수의 변화를 평가하고, hardener 와 softener 특성이 본조성에서 나타나는지를 관찰하였다. 실험방법은 보통 소성법을 사용하였으며, 분쇄와 혼합은 직경 3 mm zirconia ball을 사용하여 볼밀 하였다. $850^{\circ}C$ 에서 5h 하소 후 $1100{\sim}1200^{\circ}C$ 에서 소결하고, 두께 1 mm로 연마한 다음 silver paste를 $650^{\circ}C$ 에서 소부하여 전극을 형성하였다. 제작된 시편은 $90^{\circ}C$의 실리콘유에서 3~4 kV/mm의 전계를 가해 20분간 분극 처리를 수행하였다. 제작된 시편의 압전전하 상수 값은 d33-meter(APC-8000)를 이용하여 측정하였고, 유전율, 전기기계결합계수 및 기계적품질계수 등은 임피던스 분석기 (impedance/gain phase analyzer)를 이용하여 특성을 측정 하였다. 또한 전압-분극 특성의 평가에는 강유전특성 측정기(ferroelectric tester: Precision-LC, Radiant Technologies, USA)를 이용하였다.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.7277-7284
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• 2015

Background: The Wnt/${\beta}$-catenin signaling pathway is an important regulator of cellular functions such as proliferation, survival and cell adhesion. Wnt/${\beta}$-catenin signaling is associated with tumor initiation and progression; ${\beta}$-catenin mutations explain only 30% of aberrant signaling found in breast cancer, indicating that other components and/or regulation of the Wnt/${\beta}$-catenin pathway may be involved. Objective: We evaluated AXIN2 rs2240308 and rs151279728 polymorphisms, and expression profiles of ${\beta}$-catenin destruction complex genes in breast cancer patients. Materials and Methods: We collected peripheral blood samples from 102 breast cancer and 102 healthy subjects. The identification of the genetic variation was performed using PCR-RFLPs and DNA sequencing. RT-qPCR was used to determine expression profiles. Results: We found significant association of AXIN2 rs151279728 and rs2240308 polymorphisms with breast cancer risk. Significant increase was observed in AXIN2 level expression in breast cancer patients. Further analyses showed APC, ${\beta}$-catenin, CK1${\alpha}$, GSK3${\beta}$ and PP2A gene expression to be associated to clinic-pathological characteristics. Conclusions: The present study demonstrated, for the first time, that AXIN2 genetic defects and disturbance of ${\beta}$-catenin destruction complex expression may be found in breast cancer patients, providing additional support for roles of Wnt/${\beta}$-catenin pathway dysfunction in breast cancer tumorigenesis. However, the functional consequences of the genetic alterations remain to be determined.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4501-4504
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• 2012

In recent decades, decreasing trends in esophageal cancer mortality have been observed across China. We here describe esophageal cancer mortality trends in Linzhou city, a high-incidence region of esophageal cancer in China, during 1988-2010 and make a esophageal cancer mortality projection in the period 2011-2020 using a Bayesian approach. Age standardized mortality rates were estimated by direct standardization to the World population structure in 1985. A Bayesian age-period-cohort (BAPC) analysis was carried out in order to investigate the effect of the age, period and birth cohort on esophageal cancer mortality in Linzhou during 1988-2010 and to estimate future trends for the period 2011-2020. Age-adjusted rates for men and women decreased from 1988 to 2005 and changed little thereafter. Risk increased from 30 years of age until the very elderly. Period effects showed little variation in risk throughout 1988-2010. In contrast, a cohort effect showed risk decreased greatly in later cohorts. Forecasting, based on BAPC modeling, resulted in a increasing burden of mortality and a decreasing age standardized mortality rate of esophageal cancer in Linzhou city. The decrease of esophageal cancer mortality risk since the 1930 cohort could be attributable to the improvements of socialeconomic environment and lifestyle. The standardized mortality rates of esophageal cancer should decrease continually. The effect of aging on the population could explain the increase in esophageal mortality projected for 2020.

• Molecules and Cells
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• v.39 no.11
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• pp.821-826
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• 2016

The ${\beta}$-catenin functions as an adhesion molecule and a component of the Wnt signaling pathway. In the absence of the Wnt ligand, ${\beta}$-catenin is constantly phosphorylated, which designates it for degradation by the APC complex. This process is one of the key regulatory mechanisms of ${\beta}$-catenin. The level of ${\beta}$-catenin is also controlled by the E3 ubiquitin protein ligase SIAH-1 via a phosphorylation-independent degradation pathway. Similar to ${\beta}$-catenin, STAT3 is responsible for various cellular processes, such as survival, proliferation, and differentiation. However, little is known about how these molecules work together to regulate diverse cellular processes. In this study, we investigated the regulatory relationship between STAT3 and ${\beta}$-catenin in HEK293T cells. To our knowledge, this is the first study to report that ${\beta}$-catenin-TCF-4 transcriptional activity was suppressed by phosphorylated STAT3; furthermore, STAT3 inactivation abolished this effect and elevated activated ${\beta}$-catenin levels. STAT3 also showed a strong interaction with SIAH-1, a regulator of active ${\beta}$-catenin via degradation, which stabilized SIAH-1 and increased its interaction with ${\beta}$-catenin. These results suggest that activated STAT3 regulates active ${\beta}$-catenin protein levels via stabilization of SIAH-1 and the subsequent ubiquitin-dependent proteasomal degradation of ${\beta}$-catenin in HEK293T cells.