• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.12-23
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• 2018

The Internet of Things (IoT) ecosystem potentially includes heterogeneous devices with different processing mechanisms as well as very complicated network and communication models. Thus, analysis of data associated with adverse conditions is much more complicated. Moreover, mobile things in the IoT lead to dynamic alteration of environments and developments of a dynamic and ultra-large-scale (ULS) environment. Also, IoT and the services provided by that are mostly based on devices with limited resources or things that may not be capable of hosting conventional controls. Finally, the dynamic and heterogeneous and ULS environment of the IoT will lead to the emergence of new security requirements. The conventional preventive and diagnostic security controls cannot sufficiently protect it against increasing complication of threats. The counteractions provided by these methods are mostly dependent on insufficient static data that cannot sufficiently protect systems against sophisticated and dynamically evolved attacks. Accordingly, this paper investigates the current security approaches employed in the IoT architectures. Moreover, we define the dynamic security based on dynamic event analysis, dynamic engineering of new security requirements, context awareness and adaptability, clarify the need for employment of new security mechanism, and delineate further works that need to be conducted to achieve a secure IoT.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.642-649
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• 2006

In order to recognize a situation from a environment which provides an intelligent service, we propose state-transition based situation modeling which is suitable for a low computing power and restricted resources like embedded systems, and we designed its application to a situation-action converter(SAC)which is consist of two parts; situation detector recognized wanted situations and action generator generated various control actions. Then, we implemented a situation manager for smart scheduler service by using a SAC which is installed to a ARM processor based embedded Linux evaluation board.

• Journal of Sensor Science and Technology
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• v.16 no.4
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• pp.270-276
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• 2007

A location-aware system, which is capable to detect a user's whereabout in a region and provide real-time location information in outdoor environment is designed and fabricated, specifically using the GPS (global positioning system) as key technology in view of its stability and high precision in outdoor environment. Experiment is conducted to test this application in campus-based environment. Once GPS receiver detects specific location which is tagged with GPS coordinates, the system provides information relevant to that context and user can operate and react accordingly. Besides, this location-aware system is able to provide user with the route in order to get to a desired place by detecting the direction that the user is moving towards from his/her initial location. The mapping data is transferred via wireless LAN to PDA carried by the user as well as to the back-end system on real-time basis. The test result is analyzed and discussed to validate the effectiveness of using GPS in implementing this system and indicates future works that could be made to improve this prototype to be implemented in other applications, such as theme park, tourist attraction spot or recreational park.

• Korean Journal of Environmental Biology
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• v.32 no.4
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• pp.403-412
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• 2014

This article chronicles key shifts in intellectual property regimes in the twentieth century as they related to the commercialization of academic research. The institutionalization and growth of scientific research in the research university in the twentieth century and the increasing awareness of its potential to promote technology innovation and economic growth posited an important question of the ownership of knowledge created in the academic setting, where knowledge was traditionally regarded as a common property among academic researchers. This paper shows the ownership of academic knowledge emerged as a key public policy and legal issue in the latter half of the twentieth century for academic researchers and government officials who pursue the commercialization of academic knowledge for private gain and public benefit. The resulting institutionalization of patent management in the research university and shifts in federal patent policy in turn opened a new legal avenue for the establishment of the private ownership of academic knowledge and the expansion of intellectual property rights in academia, especially in the area of biological and biomedical research. Reflecting upon historical shifts in intellectual property regimes in the twentieth century, this paper suggests recent controversies regarding ownership of biological knowledge and profit sharing in developing counties are linked to critical issues pertinent to the welfare of indigenous population, utilization of new natural resources, and sustainable development for humanity.

• Journal of Korean Home Economics Education Association
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• v.12 no.3
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• pp.115-127
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• 2000

The purpose of this study is to develop lesson plans. teaching guide, and teaching materials applying practical reasoning teaching model in the area of ’human development and family relationship’in middle school home economics. The practical reasoning teaching model consists of five factors: Desired results, Awareness of context, Alternative approaches, Consequences of action, and Action. This study based on practical reasoning has following process: Curriculum development. Developing lesson pan, teaching material, an teaching guide, Experimental teaching and evaluation. Feedback, Production of CD-Rom. Teaching guide includes lesson plan, workbook multimedia materials and teaching resources. Especially teaching guide in CD-Rom can be used effectively in the actual teaching. In the classroom, this teaching model accomplished active and interesting participation of teachers and students. It is proposed that practical reasoning teaching model should be applied to other areas of home economics. In addition various teaching materials based on practical reasoning need to developed.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.115-135
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• 2012

Currently, smart signage as a new kind of advertisement media has been widely used and has had a significant effect on consumers. In this study, we examine the impact on the attitude towards smart signage advertisement based on the Ducoffe's Web advertisement model. In particular, we investigate how the advertising factors (interaction, informativeness, irritation, and entertainment) as well as the contextual factors (localization, immediacy, and personalization) have effects on the value and attitude towards smart signage advertisement. Furthermore, we examine the moderating effect of individual defensive propensity on the relationship between affecting factors and the advertising value. By analyzing 192 samples from undergraduates, we found that four out of seven factors have significant effects on the value towards smart signage. More specifically, for advertising factors, informativeness and irritation have positive effects on the advertising value. For contextual factors, on the other hand, localization and entertainment have positive effects on the value towards smart signage. Besides, we discovered that the defensive propensity moderate the relationship between localization and the advertising value.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.772-774
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• 2005

최근 로봇에 관한 연구가 꾸진히 진행 중인 가운데, 로봇이 현재 상황을 파악하고 적절한 서비스를 제공해 주기 위하여 위치 정보가 많이 활용되고 있다. 이러한 위치 정보는 월드 모델링(world modeling)을 통하여 로봇이 처한 환경에서 사용자(nomadic human)의 위치 경로와 공간에 구성되어 있는 객체들의 위치를 비교하거나 관계를 탐지하고 적절한 규칙을 사용해 추론함으로써 사용자의 서비스 요청을 수행하기 위해 쓰일 수 있다. 본 논문은 로봇 환경에서의 상황인지를 위한 월드 모델링을 제안한다. 제안된 월드 모델링은 로봇과 사람과의 관계와 사랑과 사물(object)간의 관계를 정의하며 시간의 흐름에 따른 위치변화를 이용하여 각 대상간의 관계의 변화와 그에 따른 의미(semantic) 도출을 목적으로 한다. 본 시스템은 크게 네 개의 계층으로 구성되어 있다. 첫째, 센서 계층(Sensor layer)은 센서로부터 객체의 위치정보를 얻어내어 센서 데이터를 구성한다. 둘째, 질적 관계 계층(qualitative layer)은 센서 데이터를 기반으로 하여 객체간의 상대적인 위치 관계를 탐지한다. 셋째, 시공간적 관계 계층(relational layer)은 시간에 따라 축적되는 질적 관계 계층의 데이터를 기반으로 하여 객체간의 시간적, 공간적인 위치 관계를 추론한다. 마지막으로 의미적 계층(semantic layer)에서는 객체간의 상황에 맞는 의에를 추론하는데 이런 계층들은 모두 월드 모델을 공유(share)함으로써 정보 도출이 가능하다.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.327-333
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• 2020

Corporate social responsibility is an inevitable trend in the global context. It is the responsibility of the organizations to the community and society to ensure the fairness of the interests of stakeholders. This is an issue that deserves attention, not in the national or regional level, but as a global issue. The purpose of article is to examine the effect of corporate governance on corporate social responsibility disclosure of 155 samples of 31 Vietnamese commercial banks from 2015 to 2019. The data of this study is employing time-series data and used the ordinary least squares to test the model. The results show that there are three factors that positively affect corporate social responsibility disclosure, namely, board size, foreign members of board, and audit committee. Thereby, the article proposes that board of director in Vietnamese commercial banks needs to raise awareness about corporate social responsibility, and the Central bank of Vietnam should monitor the disclosure of information regularly with severe sanctions on commercial banks that do not comply with the regulations of corporate social responsibility disclosure. This contributes to improving the information quality of the banking sector to meet the trend of international economic integration.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.595-606
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• 2020

This paper aims to develop a conceptual framework for evaluating the impact of factors influencing the decision of Vietnamese students to study English in the Philippines. The empirical analysis used data from the survey data of 318 respondents living in Vietnam. Comprehensive, valid, and reliable tools (SPSS 26 software) are used to analyze and verify the gathered data, and the hypotheses developed. The results identified the factors that affect the decision of Vietnamese students to study English in the Philippines include knowledge and awareness, personality recommendation, cost issues, environment, geographic proximity, and social link. Based on the overall findings of this study, several implications are presented for educational practices in academies and schools about English teaching in the Philippines. To increase the ability to get students to study English in the country, it is important that schools or academies must understand the demands of students regarding the academic environment, and in particular, to know what factors determine the decision from the customers' point of view. This study contributes significantly to the understanding of agencies and educational managers about the student's choice behavior in the context of the need to improve foreign languages and, thus, help improve the competitiveness of agencies and English schools.

• Smart Media Journal
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• v.1 no.4
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• pp.59-71
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• 2012

Since mobile phones are used as common communication devices, their applications are increasingly important to human's life. Using smart-phones camera to collect daily life environment's information is one of targets for many applications such as text recognition, object recognition or context awareness. Studies have been conducted to provide important information through the recognition of texts, which are artificially or naturally included in images and movies acquired from mobile phones. In this study, a character segmentation method that improves character-recognition accuracy in images obtained from mobile phone cameras is proposed. The proposed method first classifies texts in a given image to printed letters and handwritten letters since segmentation approaches for them are different. For printed letters, rough segmentation process is conducted, then the segmented regions are integrated, deleted, and re-segmented. Segmentation for the handwritten letters is performed after skews are corrected and the characters are classified by integrating them. The experimental result shows our method achieves a successful performance for both printed and handwritten letters as 95.9% and 84.7%, respectively.