• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.41-49
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• 2015

Industrial safety is one of the crucial agenda for Government as well as Manufacturing Industry. To cope with the needs, a great deal of policies and technical implementation have been proposed and implemented. With a great increasing attention on the Industry 4.0 and Smart Factory, industrial safety has received as a crucial agenda by the manufacturing industry in particular. Up until now, almost all of them have been made from the environmental aspects, rather than operator or workers. In this paper, we present our research results how to increase the workers' safety via smart factory technology, such as IoT and CPS. Our approach has been to see the problem from SE perspectives, to draw the real issues from the various stakeholders, and define how to solve the problem based on the emerging technologies. The developed systems can give conceptual framework for the 'smart' industrial safety system by providing solution architecture for how to monitor the location of workers, and moving equipments, and generate solutions how to avoid safety problems between them if detected.

• Journal of the Korean Society for Precision Engineering
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• v.34 no.1
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• pp.29-34
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• 2017

The operating environments of factories and manufacturing units have changed dramatically due to globalization, population, and customization. The existing factories are converted into smart units using information and communications technology (ICT). These smart factories can produce, control, repair, and manage themselves. The manufacturing processes are efficiently optimized using the monitoring and analysis methods of ICT. In this experimental study, we carried out a survey on the system solution providers and consumer companies to determine the field conditions and requirements necessary for assembling a smart factory. Using the results of this survey, we effectively devised smart factory solutions and implemented them on the existing conditions in various factories.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.566-579
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• 2012

Ubiquitous computing called pervasive one is based on the thought of pervading ability of computation in daily life applications. In other words, it aims to include computation in devices such as electronic equipment and automobiles. This has led to disengagement of computers from desktop form. Accordingly, the notice in ubiquitous computing being taken of a world steeped in remote and wireless computer-based-services. Handheld and wearable programmed devices such as sense and control appliances are such devices. This advancement is rapidly moving domestic tasks and life from device-and-human communication to the device-and-device model. This model called Machine to Machine (M2M) has led to acceleration of developments in sciences such as nano-science, bio-science, and information science. As a result, M2M led to appearance of applications in various fields such as, environment monitoring, agricultural, health care, logistics, and business. Since it is envisaged that M2M communications will play a big role in the future in all wireless applications and will be emerged as a progressive linkage for next-generation communications, this paper aims to consider how much M2M architectures can realize ubiquitous computing in daily life applications. This is carried out after acquainting and initiating readers with M2M architectures and arguments for M2M. Some of the applications was not achievable before but are becoming viable owing to emergence of M2M communications.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1179-1182
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• 2017

본 논문에서는 미세먼지를 포함하여 공기의 오염도를 측정하기 위해 폭넓게 활용되고 있는 광 산란 방식 센서의 정확도를 향상시키기 위하여, 초기 측정값에 적절한 보정 값을 추가하여 최종 결과를 구하는 방법을 제안한다. 기존 광 산란 방식의 센서는 휴대가 가능하고, 실시간으로 공기의 오염도를 측정할 수 있는 장점을 가지고 있으나, 그 정확도가 다소 낮다는 단점을 가지고 있었다. 제안시스템은 측정 범위를 확장할 수 있는 보정 값을 최종 측정값에 반영하고, 하드웨어적으로도 불필요한 외부 빛의 유입을 차단하는 설계를 적용하여 그 정확도를 높이고자 하였다. 또한, 측정된 결과를 사용자가 모바일 애플리케이션을 이용하여 손쉽게 확인할 수 있는 전체적인 시스템 구조를 설계하였다. 우리는 제안시스템의 평가를 위하여 프로토타입을 구현하여 주변 공기 오염도를 측정하였으며, 제안 방법의 적용 이전과 이후의 결과 비교를 통하여 시스템의 유효성을 확인하였다. 누구나 휴대할 수 있는 형태의 제품에 적용할 수 있는 기술이라는 점에서 앞으로 시스템의 활용범위는 무궁무진할 것으로 기대된다.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.615-631
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• 2019

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.809-820
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• 2016

The smart grid, a new open platform, is a core application for facilitating a creative economy in the era of the Internet of Things (IoT). Advanced Metering Infrastructure (AMI) is one of the components of the smart grid and a two-way communications infrastructure between the main utility operator and customer. The smart meter records consumption of electrical energy and communicates that information back to the utility for monitoring and billing. This paper investigates the impact of a cybersecurity attack on the smart meter. We analyze the cost to the smart grid in the case of a smart meter attack by authorized users based on a high risk scenario from NESCOR. Our findings could be used by policy makers and utility operators to create investment decision-making models for smart grid security.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.928-931
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• 2018

고립된 해상 작업 환경에서의 작업자의 건강상태 관리와 혹시 모를 추락탐지는 작업자의 안전을 위해 매우 중요하다. 본 논문에서는 이러한 고립공간 작업자의 안전을 모니터링하기 위한 헬멧에 부착할 수 있는 IoT 시스템을 위한 알고리즘을 제안한다. 이는 장치가 작업 중에 긴급 상황인지 신속하게 판단할 수 있다. 스마트폰은 누구나 들고 다니기 때문에 사용자 환경은 스마트폰을 이용하여 적용되었다. 작업자들이 착용할 용도이기 때문에 PPG 센서는 불편하지 않도록 귀에 부착한다. PPG 센서를 단독으로 사용하여 스트레스 정도를 파악한다. 3축 가속도 센서는 헬멧에 부착되고 추락을 감지하는데 사용된다. 우리는 여러 센서와 블루투스 통신을 이용하여 발전된 센서 시스템을 만든다. 또한, 우리는 3축 가속도 샘플을 분석하고 정규화하는 알고리즘을 JAVA에서 구현하였다. 스마트 폰을 사용하는 이점은 신호 처리를 위해 별도의 마이크로프로세서(mcu)가 필요하지 않으며 내부 통신 시스템을 통해 제어 센터에 정보를 전송할 수 있다는 것이다.

• Computers and Concrete
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• v.24 no.2
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• pp.95-102
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• 2019

Current article proposes a cheap prototype of an embedded wireless sensor to monitor concrete structures. The prototype can measure temperature and relative humidity concurrently at a controlled through smartphone time interval. It implements a maturity method to estimate in-place concrete strength, which is considered as an alternative for traditional shock impulse method and compression tests used in Kazakhstan. The prototype was tested and adequately performed in the laboratory and field conditions. Tests aimed to study the effect of internal and ambient temperature and relative humidity on the concrete strength gain. According to test results revealed that all parameters influence the strength gain to some extent. For a better understanding of how strongly parameters influence the strength as well as each other, proposed a multicolored cross-correlation matrix technique. The technique is based on the determination coefficients. It is able to show the value of significance of correlation, its positivity or negativity, as well as the degree of inter-influence of parameters. The prototype testing also recognized the inconvenience of Bluetooth control due to weakness of signal and inability to access several prototypes simultaneously. Therefore, further improvement of the prototype presume to include the replacement of Bluetooth by Narrow Band IoT standard.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.35 no.5
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• pp.509-515
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• 2022

As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.