• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.512-517
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• 2008

It is show that increasing of aged and handicapped people requires development of Ubiquitous computing technique to offer the specialized service for handicapped-people. For this, we need a development of Context Awareness and Service Reasoning Technique that the technique is supplied interaction between user and U-environment instead of the old unilateral relation. The old research of context awareness needed probabilistic presentation model like a Bayesian Network based on expert Systems for recognize given circumstance by a domain of uncertain real world. In this article, we define a domain of disorder activity assistant service application and context model based on ontology in diversified environment and minimized intervention of user and developer. By use this context model, we apply the structure learning of Bayesian Network and decide the service and activity to development of application service for handicapped people. Finally, we define the proper Conditional Probability Table of the structured Bayesian Network and if random situation is given to user, then present state variable of Activity and Service by given Causal relation of Bayesian Network based on Conditional Probability Table and it can be result of context awareness.

• Journal of Climate Change Research
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• v.6 no.2
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• pp.159-166
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• 2015

The way to respond to climate change is divided into mitigation and adaptation. So far, the response of climate change has been focused on mitigation. The perception of response of climate change also has been focused on mitigation. However, climate change mitigation and adaptation should be highlighted in a comparable concept as a response to climate change. On the other hand, perception of the public on climate change affects the support or opposition of the general public about climate change-related policies. The purpose of this study is to assess awareness of the general public and stakeholders on the subject of climate change adaptation and to present a basis for a future national climate change adaptation policy. Questionnaire on awareness of climate change adaptation were composed of the climate change and climate change response (mitigation, adaptation) understanding and importance, the seriousness of climate change-related adverse climate event, the need for climate change adaptation measures, the degree of implementation, and the level of government effort for climate change response. Climate change adaptation-related awareness survey was conducted for the general public 1,011 people and stakeholders 101 people by telephone interviews. In this study, the perception survey has a difference in aspect of the contents and methodology. And We were able to present the three characteristics of the general public and stakeholders aware of the subject of climate change adaptation. First, the relative importance of climate change adaptation was relatively low. Second level of awareness about climate change response of the public was significantly lower than the stakeholders. Finally, the need to prepare the implementation of the sectoral level, the first adaptation measures was relatively low.

• Journal of People, Plants, and Environment
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• v.24 no.3
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• pp.257-266
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• 2021

Background and objective: Vertical smart farm (VSF) is an alternative that contributes to solving various problems such as climate change and food shortage. This study focused on the types and awareness of VSF to introduce and diffuse VSF. We aimed to investigate the types of VSF and citizens' awareness on VSF. We analyzed 1) where the smart farm technology could be implemented on a building; 2) what citizens think about VSF; and 3) suggested what is most necessary for the introduction and diffusion of VSF in the future based on citizens' perception. Methods: VSF types were investigated through case studies on VSF in Korea and overseas. Citizens' perception on VSF was investigated through a questionnaire survey. A statistical analysis was conducted with the survey results for implications of the introduction and diffusion of VSF. Results: Four types of VSF were derived: rooftop farms, facade farms, indoor farms, and farms using the whole building. The survey showed that 29.2%, 27.8%, and 22.2% of respondents knew well about urban agriculture, smart farms, and vertical smart farms, respectively. Respondents answered that improving awareness is the most important factor to introduce VSF. According to the statistical analysis, it was determined that education and promotion of the necessity of VSF would be important to diffuse the VSF. Conclusion: VSF can be a solution to a variety of problems we face. The results of this study suggest a direction for the introduction and diffusion of VSF. In order to introduce VSF in the future, additional studies must be conducted on the legal system.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.203-209
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• 2023

The paper brings across data that is utilized in the Bring Your Own Device (BYOD) status collected between February and April of 2021 across Saudi Arabia. The data set was collected using questionnaires established through online mechanisms for the respondents. In the questionnaire, personal details included five questions while seven questions addressed the working model of personal mobile devices. Six questions addressed the awareness of employees bring your own device awareness for employees comprised seven questions and two questions addressed the benefits of business achievements. In the identification of suitable respondents for the research, two approaches were applied. The research demanded that the respondents be Saudi Arabian nationals and have attained 18 years. Snowball and purposive techniques were applied in the collection of information from a wide area of Saudi Arabia while employing social media approaches that include the use of WhatsApp and emails in the collection of data. The approach ensured the collection of data from 857 respondents used in the identification of the status as well as issues across the BYOD environment and accompanying solutions. The data was also used in the provision of awareness in the community through short-term courses, cyber security training and awareness programs. The results of the research are therefore applicable to the context of the Saudi Arabian country that is currently facing issues in dealing with the application of personal devices in the work environment.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.606-608
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• 2005

In this paper, we introduce localization server system calculated real location of objects using raw data of location-awareness from sensor node gateway. The software architecture of localization server system consists of location calculation and actuator control based on location. Also, this system supports for collecting raw data, calculating location of real objects using raw data, correcting error from outer environment, and server for applications based on location.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.122-129
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• 2006

The context-awareness has become the one of core technologies and the indispensable function. for application services in ubiquitous computing environment. In this research, we incorporated the capability of context-awareness in a music recommendation system. Our proposed system consists of such components as Intention Module, Mood Module and Recommendation Module. Among these modules, the Intention Module infers whether a user wants to listen to the music or not from the environmental context information. We built the Intention Module using data mining techniques such as decision tree, support vector machine and case-based reasoning. The results showed that the case-based reasoning model outperformed the other models and its accuracy was 84.1%.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.25-32
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• 2016

In this paper, we design a middleware for context-awareness which provides compound contexts from diverse sensors on a mobile device. Until now, most of context-aware application developers have taken responsibility for context processing from sensing data. Such application-level context processing causes heavily redundant data processing and leads to significant resource waste in energy as well as computing. In the proposed scheme, we define primitive and compound context map which consists of relavant sensors and features. Based on the context definition, each application demands a context of interest to the middleware, and thus similar context-aware applications inherently share context information and procesing within the middleware. We show that the proposed scheme significantly reduces the resource amounts of cpu, memory, and battery, and that the performance gain gets much more when multiple applications which need similar contexts are running.

• Journal of Information Technology Applications and Management
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• v.27 no.5
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• pp.35-47
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• 2020

Global waste has become a global issue and we can see the new trend of discovery businesses established to focus on solving the waste problem using new renewable energy technology and the circular economy business model. This paper aims to study factors that impact green entrepreneurship in Thailand, such as environmental concern, organizational environment, founder demographics, education background, entrepreneurship awareness, as well as external factors of a business. The study analyzes the data from three qualitative in-depth interviews with green entrepreneur founders who started the businesses in polymer up-cycling, waste management, and renewable energy. The study finds overseas educational background to be one of the key main drivers for the entrepreneurial courage to decide to pursue a new business venture. By having the exposure toward the different culture, three entrepreneurs hands-on experiential learning through three key drivers who are composed of the can-do attitude, the willingness to be self-employed, and the way of seeking for the freedom to express their passions.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.305-312
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• 2007

Objectives : To estimate the awareness, treatment and control rate, as well as to identify the awareness-related factors for hypertension. Methods : The study participants were 482 adults (men 206, women 276), aged 45 or over, diagnosed with hypertension and living in Chuncheon. The awareness rate was defined as the proportion of persons among those with hypertension who had previously been diagnosed by a physician. The treatment rate was defined as the proportion of persons who had used anti-hypertensive medication, among those who were aware of their hypertension. The control rate was defined as the proportion of persons who kept blood pressure normal, among those who had been treated for their hypertension. Multivariable logistic regression analysis was carried out for the awareness-related factors using SAS VER 8.1. Results : The awareness, treatment, and control rate were 55,8% (53.4% for men; 57.6% for women), 89.6% (87,2% for men; 91.2% for women), and 34.4% (28.1 % for men; 38.6% for women), respectively. The awareness-related factors included a family history of hypertension (odds ratio[OR], 5.63; 95% confidence interval[95% CI]=1.53-20.72), smoking([Ex; OR 0.38, 95% CI= 0.15-0.96)], [Current; OR 0.28, 95% CI=0.10-0.80]), and alcohol intake ([Ex; OR 3.22, 95% CI 1.03-10.09],[Current; OR 3.36, 95% CI=1.30-8.71]) for men, and education(OR 2.23, 95% CI=1.10-4.53), body mass index(OR 2.72, 95% CI=1.13-6.53), and self-rated health(OR 2.38, 95% CI=1.07-5.30) for women. Conclusions : The awareness rate of hypertension among the middle aged and elderly in Chuncheon was 55.8%. The related factors of awareness were gender specific. Further studies are needed to elucidate the putative reasons for these gender differences.

• Journal of Internet Computing and Services
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• v.18 no.2
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• pp.21-30
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• 2017

IoT(Internet of Things) can enable networking and computing using any devices is rapidly proliferated. In the existing IoT environment, bottlenecks and service delays can occur because it processes data and provides services to users using central processing based on Cloud. For this reason, Edge Computing processes data directly in IoT nodes and networks to provide the services to the users has attracted attention. Also, numerous researchers have been attracted to intelligent service efficiently based on Edge Computing. In this paper, expert system-based context awareness scheme for Edge Computing in IoT environment is proposed. The proposed scheme can provide customized services to the users using context awareness and process data in real-time using the expert system based on efficient cooperations of resource limited IoT nodes. The context awareness services can be modified by the users according to the usage purpose. The three service modes in the security system based on smart home are used to test the proposed scheme and the stability of the proposed scheme is proven by a comparison of the resource consumptions of the servers between the proposed scheme and the PC-based expert system.