• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.445-448
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• 2008

최근 인터넷 환경은 컴퓨터를 이용한 윈도우즈의 환경에서 핸드폰, PDA 등의 모바일 기기를 이용한 다양한 형태로 확산되고 있다. 이로 인해 시각, 청각 장애자나 컴퓨터 초보자도 쉽게 인터넷에 접근할 수 있는 웹 접근성 향상이 많은 분야에서 이루어지고 있다. 이 논문에서는 KADO-WAH 평가도구를 이용하여 교육 관련 기관의 홈페이지를 평가하고 이들 홈페이지의 웹 접근성 지침 준수 여부를 비교 분석한다. 이 논문에서는 교육 관련기관인 대도시 교육청 홈페이지와 부산시 교육청 산하 교육구청의 홈페이지, 그리고 부산시내의 여러 고등학교 홈페이지에 대하여 웹 접근성 지침 준수 여부를 평가하고 비교 분석한다. 그 결과 학부모나 교육 관련 이해 당사자 누구라도 쉽게 교육용 웹사이트에 접근하고 이용할 수 있게 하는데 이 연구의 목적이 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.113-116
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• 2008

최근 인터넷에 접근할 수 있는 웹 접근성 향상이 많은 분야에서 이루어지고 있지만, 교육용 홈페이지에서는 이에 대한 인식이 부족한 형편이다. 이 논문에서는 한국형 인터넷 웹 접근성 지침에 대하여 알아보고, 웹 접근성 평가도구인 KADO-WAH 프로그램을 활용하여 교육 관련 홈페이지를 웹 콘텐츠 접근성 지침에 따라서 평가해 본다. 평가도구로 평가가 이루어지지 못하는 부분은 일선 학교 컴퓨터 관련 교사들에게 설문지를 통하여 웹 접근성 평가를 받고, 그 결과를 분석한다. 평가도구에 의한 평가와 설문조사에 의한 평가에는 어떤 차이가 있는지 살펴보아 교육용 홈페이지의 웹 접근성을 높이는 방안을 갈구하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.105-108
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• 2008

최근 인터넷 웹 콘텐츠의 접근성에 대한 표준화의 준수와 웹 접근성 향상을 위한 노력이 정부, 공공기관, 기업까지 확산되고 있다. 이 논문에서는 웹 접근성 표준 지침에 패하여 알아보고, 표준 지침별 평가 항목에 대하여 비교 분석한다. 또한, 웹 접근성 인증 기준에 의한 중요도에 대해서도 분석한다. 그리고 웹 접근성 평가도구인 KADO-WAH 프로그램을 활용하여 교육 관련 홈페이지를 웹 콘텐츠 접근성 지침에 따라 지침별 준수율을 비교 분석한다.

• Biomolecules & Therapeutics
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• v.28 no.2
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• pp.202-210
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• 2020

Fluoxetine is used widely as an antidepressant for the treatment of cancer-related depression, but has been reported to also have anti-cancer activity. In this study, we investigated the cytotoxicity of fluoxetine to human gastric adenocarcinoma cells; as shown by the MTT assay, fluoxetine induced cell death. Subsequently, cells were treated with 10 or 20 µM fluoxetine for 24 h and analyzed. Apoptosis was confirmed by the increased number of early apoptotic cells, shown by Annexin V- propidium iodide staining. Nuclear condensation was visualized by DAPI staining. A significant increase in the expression of cleaved PARP was observed by western blotting. The pan-caspase inhibitor Z-VAD-FMK was used to detect the extent of caspase-dependent cell death. The induction of autophagy was determined by the formation of acidic vesicular organelles (AVOs), which was visualized by acridine orange staining, and the increased expression of autophagy markers, such as LC3B, Beclin 1, and p62/SQSTM 1, observed by western blotting. The expression of upstream proteins, such as p-Akt and p-mTOR, were decreased. Autophagic degradation was evaluated by using bafilomycin, an inhibitor of late-stage autophagy. Bafilomycin did not significantly enhance LC3B expression induced by fluoxetine, which suggested autophagic degradation was impaired. In addition, the co-administration of the autophagy inhibitor 3-methyladenine and fluoxetine significantly increased fluoxetine-induced apoptosis, with decreased p-Akt and markedly increased death receptor 4 and 5 expression. Our results suggested that fluoxetine simultaneously induced both protective autophagy and apoptosis and that the inhibition of autophagy enhanced fluoxetine-induced apoptosis through increased death receptor expression.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.961-975
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• 2016

The hierarchically penalized support vector machine (H-SVM) has been developed to perform simultaneous classification and input variable selection when input variables are naturally grouped or generated by factors. However, the H-SVM may suffer from estimation inefficiency because it applies the same amount of shrinkage to each variable without assessing its relative importance. In addition, when analyzing imbalanced data with uneven class sizes, the classification accuracy of the H-SVM may drop significantly in predicting minority class because its classifiers are undesirably biased toward the majority class. To remedy such problems, we propose the weighted adaptive H-SVM (WAH-SVM) method, which uses a adaptive tuning parameters to improve the performance of variable selection and the weights to differentiate the misclassification of data points between classes. Numerical results are presented to demonstrate the competitive performance of the proposed WAH-SVM over existing SVM methods.

• Proceedings of the Zoological Society Korea Conference
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• 1997.10b
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• pp.227.2-227
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• 1997

No Abstract, See Full Text

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• Journal of Korea Multimedia Society
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• v.19 no.10
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• pp.1816-1828
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• 2016

Museums have recently been expanding their roles as education providers to use websites to provide a variety of information and services including educational programs. In order to better perform their roles as education providers, it is important for museums to commit themselves to making their websites accessible and easy for everyone to use, in compliance with web accessibility. 20 of museum websites were chosen to study the state of web accessibility of domestic museum websites, and were evaluated by using an automated web accessibility evaluation tool called the K-WAH 4.4. And then, we analyze the compliance rates of web accessibility based on 6 Requirements in the KWCAG 2.1. As a Result, only two museums satisfy the compliance rates on 6 Requirements and national & public museums are higher than private museums in compliance rates. So, to improve web accessibility, we comply with accessibility guidelines and design web contents. After witch we should improve web accessibility by modifying insufficient requirements immediately through periodical evaluations.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.241-250
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• 2020

This study examines the relationship between the attributes of board structure and the likelihood of financial distress for the non-financial sector of an emerging market characterized by concentrated ownership and family-controlled business. The present study utilized panel logistic regression to estimate the relationship between board structure attributes and the likelihood of financial distress. We used Altman Z-Score as a proxy for firm financial distress, as this tool measures the financial distress inversely. The study finds a significant relationship between board size and the likelihood of financial distress. The results show that a one-unit increase in board size would decrease the probability of financial distress by 3.4%. Further, we observe that a greater level of board independence is associated with a lower likelihood of financial distress. A one-unit increase in board independence would decrease the probability of financial distress by 20.4%. We also find a significant positive impact of leverage on the likelihood of financial distress. The present study contributes to the body of literature on board structure attributes and likelihood of financial distress in emerging markets, like Pakistan. Furthermore, the findings would be beneficial for corporate policymakers and investors in formulating corporate financial strategy and predicting business failure.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.941-944
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• 2000

This paper proposes, for the first time, the design of class I pull-push power amplifier. With the new design, the output power is increased by four times when compared to conventional single-end class I connection amplifier with the same supply voltage. The performance of the proposed amplifier is verified by with a 100-kHz power amplifier constructed using general-purpose NPN transistors.