• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.305-311
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• 2022

The Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) is projected to provide several chances for Vietnam's banking industry to expand into the international market. This study examines the influence of foreign ownership on credit risk in Vietnamese commercial banks before the context of participation in the CPTPP. Using a sample of 28 commercial banks between 2009 and 2020, we find that foreign ownership has a negative relationship with bank credit risk. The regression methods used include the least-squares method, fixed-effects model, random effects model, and general least squares method. The research model adds interactive variables, which will help to reflect the role of intermediary factors more accurately such as listing on the stock market, capital ratio to the relationship between foreign ownership and bank credit risk. The test results reveal that increasing the foreign ownership ratio has a bigger impact on reducing credit risk for listed banks and banks with low capital than for other commercial banks. The government should flexibly adjust the foreign ownership ratio according to the capital size and role of each bank so that it can make good use of investment capital from abroad when Vietnam joins the CPTPP.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.408-417
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• 2022

This study developed a structural model to examine the relationships among consumer traits, self-brand connections, and purchase intentions for local fashion brands under "Guochao" consumption in China. An online survey with a self-administered questionnaire was undertaken through Chinese SNS tools to collect the data. A total of 276 usable responses were obtained from Chinese consumers who are residents in China. More females(n=174, +63%) than males (n=102, 37%) participated, and they were aged from 18 to 45 years old. The measurement model was confirmed to be reliable and valid. In the estimated structural model, the consumer traits of ethnocentrism and cultural affinity positively affected the self-brand connection, leading to purchase intentions for the local fashion brands. Specifically, the ethnocentrism factor indirectly affected the purchase intentions by mediating the self-brand connection, while the cultural affinity factor had significant direct effects on purchase intentions. Thus, a partial mediating effect of self-brand connection was found in the relationship between the consumer traits(ethnocentrism and cultural affinity) and purchase intentions of local fashion brands in the cultural "Guochao" consumption context. This study provides insights into extending the cultural theory of ethnocentrism relevant to self-brand connections and discusses the managerial implications for developing strategic global branding in the Chinese fashion markets.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.1-20
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• 2008

This study is aimed at proposing a new approach to designing UDSS (Ubiquitous Decision Support System) which allows context-awareness and connectivity. In the previous studies, the need to design UDSS and analyze its performance empirically was raised. However, due to the complexity of empirical approaches, there is no study attempting to tackle this research issue so far. To fill this research void, this study proposes a Mobile Delivery System (MDS) as a form of UDSS, empirically analyzing how users perceive its context-awareness and connectivity functions. Especially, to add more rigor to the proposed approach to know how much it works well in the decision-making contexts, we considered three decision making phases (intelligence, design, choice) in the research model. With the valid questionnaires collected from 340 users of the MDS, we induced statistically proven results showing that both context-awareness and connectivity of the proposed UDSS (or MDS) influence the decision making steps positively and then contribute to improving the decision making quality.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.35-41
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• 2020

This paper proposes an algorithm to improve the compression performance of the adaptive multi-rate (AMR) speech coding using the context tree weighting (CTW) method. AMR is the voice encoding standard adopted by IMT-2000, and supports 8 transmission rates from 4.75 kbit/s to 12.2 kbit/s to cope with changes in the channel condition. CTW as a kind of the arithmetic coding, uses a variable-order Markov model. Considering that CTW operates bit by bit, we propose an algorithm that re-orders AMR data and compresses them with CTW. To verify the validity of the proposed algorithm, an experiment is conducted to compare the proposed algorithm with existing compression methods including ZIP in terms of compression ratio. Experimental results indicate that the average additional compression rate in AMR data is about 3.21% with ZIP and about 9.10% with the proposed algorithm. Thus our algorithm improves the compression performance of AMR data by about 5.89%.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.559-569
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• 2003

Annotation is used for inscribing personal opinion, explanation, and summary. Various methods for processing annotation efficiently in digital document environments are being studied. However, previous studies placed much emphasis on function of annotation, so either they did not support Intuitive paper-based input interface or the systems that support it still have low reusability problems, because relation between annotation and original document are not explicit. Thus, in our study, we define context-based annotation modeling for digital document environments, and suggest annotation interface based on the modeling. To design annotation model, we define annotation types, context information of document, and relationship between annotation and original document. Also, a system based on the modeling is implemented to support pen-based annotation and annotation DTD. As a result, unlike previous studies, it is possible to explicitly define context-based annotation in pen-based input environments. We present various functions using the modeling and various possibilities of application.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.579-582
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• 2009

With the aid of the increasing interests of Context-aware Augmented Reality Agent (AR Agent), various researches of AR Agent have been performed to explore the possibility of the agent as novel interface and the entity responding autonomously by user's input. However, in previous works, AR Agents are lack of specific method for using various contextual information. To revolve around those problems, we propose the Behavior Generation System for Context-aware AR Agent using layered architecture. Based on Belief-Desire-Intention (BDI) model and Hierarchical Task Network (HTN) searching, the sequence of agent behavior has been selected in behavior planning layer. Then, the agent evaluates appropriateness of behaviors using previous behavior and the type of input before activation. This behavior generation system can be applied for edutainment, game, and assistant agent, which need intuitive and effective behaviors to convey information. Through this research, we expect that the Context-aware AR Agent could support for not only information delivery, but also the capability of effective communication for user.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.1
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• pp.183-189
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• 2013

This paper proposes a novel lossless image compression scheme composed of direction-adaptive prediction and context-based entropy coding. In the prediction stage, we analyze the directional property with respect to the current coding pixel and select an appropriate prediction pixel. In order to further reduce the prediction error, we propose a prediction error compensation technique based on the context model defined by the activities and directional properties of neighboring pixels. The proposed scheme applies a context-based Golomb-Rice coding as the entropy coding since the coding efficiency can be improved by using the conditional entropy from the viewpoint of the information theory. Experimental results indicate that the proposed lossless image compression scheme outperforms the low complexity and high efficient JPEG-LS in terms of the coding efficiency by 1.3% on average for various test images, specifically for the images with a remarkable direction the proposed scheme shows better results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.343-350
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• 2015

This paper presents a context recognition method using environmental sound signals, which is applied to a mobile-based client monitoring system. Seven acoustic contexts are defined and the corresponding environmental sound signals are obtained for the experiments. To evaluate the performance of the context recognition, MFCC and LPCC method are employed as feature extraction, and statistical pattern recognition method are used employing GMM and HMM as acoustic models, The experimental results show that LPCC and HMM are more effective at improving context recognition accuracy compared to MFCC and GMM respectively. The recognition system using LPCC and HMM obtains 96.03% in recognition accuracy. These results demonstrate that LPCC is effective to represent environmental sounds which contain more various frequency components compared to human speech. They also prove that HMM is more effective to model the time-varying environmental sounds compared to GMM.

• 한국지구과학회:학술대회논문집
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• 2005.09a
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• pp.254-262
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• 2005

본 연구에서는 중학교 과학 영재아들이 가지고 있는 조석에 관한 정신모형을 탐색하기 위하여 상황에 따른 개념 유형을 분류하고, 각 유형들을 구성하는 국면들을 분석하였다. 조석 현상에 관해 두 가지 상황으로 구성된 과제 수행을 실시한 후 그 응답 결과를 분석한 결과, 상당수의 학생들이 상황에 따라 서로 다른 개념 유형을 나타내었다. 상황에 따른 개념 유형들을 구성하고 있는 국면을 분석한 결과, 각 유형들은 내용-일반적 국면을 공통적으로 포함하고 있었으나, 내용-특정적 국면과 전략적 국면에서는 많은 차이를 나타내었다. 두 가지 상황에서 나타나는 개념 유형들과 이들 유형을 구성하는 국면들을 조합하여 학생들의 정신모형을 분석한 결과 다음과 같은 4가지 모형으로 나눌 수 있었다: (1) Tide model (2) Force model (3) Phase model (4) Hybrid model. Tide model은 과학적으로 옳은 모형이며, Force model과 Phase model은 옳지 않은 모형이며, Hybrid model은 혼합 모형으로 상황에 따라 나타나는 개념 유형이 서로 부합되지 않는 모형이다. 중학교 과학 영재아들이 조석 현상에 대해 가장 많이 가지고 있는 모형은 Tide model(45.0%)이었으며, 그 다음으로는 Hybrid model(30.0%), Force model(12.5%), Phase model(7.5%) 순으로 나타났다.

• Journal of Educational Research in Mathematics
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• v.27 no.4
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• pp.857-888
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• 2017

Due to globalization, diversification, and informatization, modern society confronts change and crisis in a variety of areas such as economy, politics, and culture. In that context, mathematics educators seek for how to reform school mathematics for democratic and just society. This research proposes critical mathematics education as an alternative model of school mathematics for democratic society. In particular, this research is an explorative study to construct a model of critical mathematics education program. For the purpose, we conducted a comprehensive literature review to identify goals, contents, and methods of teaching and learning, and method of assessment for critical mathematics education. We checked the validity of the model by using the cases of critical mathematics education. Since this research is explorative in the regard that the model is based on theoretical literatures, further research is necessary to extend the model through design research in school context.