• Journal of Information Processing Systems
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• v.12 no.4
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• pp.711-723
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• 2016

With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.193-198
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• 2010

Smart phone systems such as Android and iPhone are spreading into the next generation's computing and the prediction that cell phone (especially smart phone) penetration rate will be higher than that of PC in the near future is predominant. In this paper, we designed and materialized an item pool system which has self directed learning function that enables learning with smart phone (the PC in the hand). Users can choose the way of studying and do the offered estimation depending on their levels with smart phone. It is materialized the studying environment which can be done immediately anytime and anywhere.

• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.73-77
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• 2023

As the DeFi market continues to expand, fraudulent activities using smart contracts have also increased. HoneyPot and Ponzi schemes are well-known frauds that exploit smart contracts. While several studies have demonstrated the potential to detect smart contracts implementing these scams, there has been a lack of research focusing on simultaneously detecting both types of fraud. This paper addresses this gap by harnessing artificial intelligence to conduct experiments for the detection of both HoneyPot and Ponzi schemes. The study employs the CNN (Convolutional Neural Network) model, commonly used for malware detection. To effectively utilize CNN, the bytecode of smart contracts is transformed into visual representations. The experimental results showcase a recall rate of 0.89 and an F1 score of 0.85, indicating promising detection capabilities.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.111-113
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• 2011

우리나라에서도 2010년 1월 25일 지식경제부의 "Smart Grid 로드맵" 확정으로 Smart Grid 사업이 진행 중이다. 그러나 정보통신 환경에서 발생하고 있는 다양한 공격에 대한 보안위협이 Smart Meter에서도 발생하고 있다. 따라서 본 논문에서는 Smart Grid에 사용되는 Smart Meter 공격을 분석하고 Smart Meter 방어 방안을 제시한다.

• International Neurourology Journal
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• v.22 no.4
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• pp.313-313
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• 2018

• Journal of Smart Tourism
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• v.1 no.3
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• pp.3-5
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• 2021

The advancement of Information Communication Technology has provided tourism researchers with a golden opportunity to access big data, which plays a critical role in smart tourism. Recognizing the current issue, this paper discusses the evolution of the literature on tourism big data focusing on conceptual understanding of and types of big data, and insights from big data analytics. Indeed, this article provides important research agenda for future tourism researchers who would like to conduct academic research about big data and smart tourism.

• Journal of Urban Science
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• v.11 no.2
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• pp.31-44
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• 2022

In this study, smart environmental management, which is an essential element for building a sustainable city, was studied. Incheon area in the metropolitan area was selected as a research subject, the recent atmospheric environment was reviewed comprehensively, and the main air quality policies of Incheon city were summarized. The smart environment management application cases were organized and analyzed to summarize the results. Based on this study, smart environment management plans for the creation of a smart city in an urban area were suggested.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.453-454
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• 2014

• Journal of Information Technology Services
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• v.13 no.4
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• pp.65-78
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• 2014

In this study, I explored the causal relationship between acceptance attitudes and the expected effects of smart work. With the rapid development of smart technologies, lots of organizations try to innovate in the conventional working styles for maximizing organizational effectiveness and efficiency. Although many organizations wish to foster smart working environment, they don't have confidence in detailed action plans and effects from it. Therefore, this study that explores the causal relationship between acceptance attitudes and effects may have crucial meaning to organizations pursuing smart work. In this research empirically conducted by questionnaire survey, the acceptance attitudes as predictors and the expected effects of smart work as influenced variables were used. This research analyzed 118 collected data and multiple regression analysis. As a result of analysis, teleworking shows the positive relations to all of dependent variables. And others have a positive or negative influence on cognitive effects of smart work. Results of this study may give implications to organizations that want to implement smart work environment.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2006.11a
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• pp.70-73
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• 2006

In late 20th century, smart home market evolved in China, and absorbed best manpower and technology to commercialize the smart home equipment. Many foreign companies want to take possession of Chinese market, but not arrive at abundance yet. There has many reasons, but most important thing is ignoring the interaction between technical elements and spacial elements. in other words, ignoring the correlation between each industry. Korean smart home market evolved same period with Chinese, but it has balanced development in technic and application, so the commercialize and market arrived at poverty. In this study, survey the present situation of smart home about Korea and China, and compare the technical elements. In addition to analysis the interaction between smart spacial contents and technology. This study focused on the smart apartment, and analysis the strength and weakness in each country, and make theoretical basement for Korea to make certain about Chinese smart home market.