• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.4
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• pp.221-231
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• 2015

This paper provides the trend of Internet of Things (IoT) for smart healthcare services and applications. IoT has provided a promising opportunity to build intelligent healthcare system and smart wearable applications by using the growing capability of wireless mobile devices, interactive sensors/actuators, and RFID technologies. For analysis of state-of-art technology of smart healthcare system, this paper includes comparative analysis and investigation of existing standard, network protocol, and devices, etc. In this paper, we examine the market trend of IoT healthcare. In particular, we examine the variety of IoT based healthcare type such as mobile, wearable device. After that, we examine the technologies of IoT healthcare such as standard, sensor, network and security. This survey contributes to better understanding of the challenges in existing IoT healthcare and further new light on future research directions.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.84-86
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• 2015

전 세계 IoT 시장은 폭발적으로 성장하여 2017년 7조 3000억 달러에 이를 것으로 전망하고 있으며 세계 각국 정부는 IoT 분야를 미래 핵심 성장 동력으로 전망하고, IoT 핵심기술 및 디바이스 개발에 많은 투자를 하고 있다. 따라서 본 논문에서는 최근 IoT 분야 주요기술 현황을 분석하고 그 발전 동향을 제시한다.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.43-56
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• 2020

The 5G system standardization body has been developing standard functions to provide ultra-high speed, ultra-high reliability, ultra-low latency, and ultra-connected services. In 3GPP Rel-16, which was recently completed, this system has begun to develop ultra-high reliability and ultra-low latency communication functions to support the vertical industry. It is expected that the trend in the adoption of mobile communication by the vertical industry will continue with the introduction of 5G. In this paper, we present the industrial Internet-of-Things (IIoT) service scenarios and requirements for the adoption of 5G systems by the vertical industry and the related standardization trend at present. In particular, we introduce the 5G time-sensitive networking standard technology, a core technology for realizing 5G-based smart factories, for IIoT services.

• International journal of advanced smart convergence
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• v.6 no.1
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• pp.44-49
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• 2017

In the modern technology era, it is possible to connect objects and the internet anytime and anywhere through IoT of hyper-connected society. Accordingly, a smart shopping cart was designed and realized by applying IoT. Therefore, this paper builds the IoT shopping cart system according to the trend of IoT environment.. When RFID is installed in the Arduino and the tagged item is inserted into the IoT shopping cart, the product information and price are displayed on the Arduino linked Raspberry Pi. We built a web server on the Raspberry Pi to handle this data, and built an App on the smartphone to implement the IoT shopping cart environment. Consumers can receive pricing and product information through smartphone apps through raspberry pie, can make quick calculations through smartphone, and provide various information to consumers through apps.

• Review of Korean Society for Internet Information
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• v.15 no.2
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• pp.31-36
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• 2014

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.149-157
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• 2018

In this paper, we propose an attack detection technology using SDN Controller to study security threats in IoT environment. The research methodology has been developed by applying IoT security threat management technology to the IoT layer and analyzing the research trend of applied security technology. The study results show that the effectiveness of the detection method using the sampling method is studied by adding OpenFlow based SDN Controller to the network switch equipment of the existing IoT network. This method can detect the monitoring and attack of the whole network by interworking with IDS and IPS without affecting the performance of existing IoT devices. By applying such improved security threat countermeasure technology, we expect to be able to relieve anxiety of IoT security threat and increase service reliability.

• Journal of the HCI Society of Korea
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• v.11 no.2
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• pp.23-30
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• 2016

The Internet of Things(IoT) market is growing exponentially as a core growth engine of the future. Major companies of the world are competitively providing the IoT services to dominate the IoT market first and create ecosystem around their companies. In order to establish the IoT services and contribute to the related industry, they will need to make efforts to provide the IoT services that the users desire, and which the users can have new experiences with. Thus, we attempted to draw out the user value factors to help successful IoT service development. For this purpose, we explored the meaning and concept of IoT, drew out a trend matrix of IoT through the literature review related to IoT and conducted a survey through the user values established by the literature related to IoT and the focus group interviews. As a result, we identified thirteen user value factors of the IoT services, which are manageability, relationship, familiarity, expandability, simplicity, entertainment, safety, economic feasibility, compensation, automation, rapidity, informativity and environment-friendliness. This study is expected to be used as a basic material in understanding the IoT services and as standards or assessment items to develop the IoT services that the users want.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.562-565
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• 2018

A wide range of IoT applications use information collected from networks of sensors for monitoring and controlling purposes. However, the frequent appearance of fault data makes it difficult to extract correct information, thereby sending incorrect commands to actuators that can threaten human privacy and safety. For this reason, it is necessary to have a mechanism to detect fault data collected from sensors. In this paper, we present a trend-adaptive multi-scale principal component analysis (Trend-adaptive MS-PCA) model for data fault detection. The proposed model inherits advantages of Discrete Wavelet Transform (DWT) in capturing time-frequency information and advantages of PCA in extracting correlation among sensors' data. Experimental results on a real dataset show the high effectiveness of the proposed model in data fault detection.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.306-311
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• 2015

This study aims at analyzing the convergence of Internet-of-Things and wearables technologies using cooperative patent classification(CPC). CPC, introduced to an increasing number of technological fields of Korean patents, is expected to be widely used in Patent Informatics because the classification codes in CPC are more specific than those of IPC, which reflect the characteristics of technologies in detail with accuracy. CPC has seldom been used up to date and most of the previous researches on technological convergence used IPC. As a pre-analysis step for analyzing the trend of technological convergence of IoT and wearables, CPC and IPC codes assigned to each patent were compared. By applying association rule mining to the analysis of CPC codes, we identified the technological fields where convergence frequently takes place and examined the trend of technological convergence over time.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.1-8
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• 2017

Recently, the technological development in the Internet of Things(IoT) field has grown rapidly worldwide and China is also expected to show a noticeable growth trend in this field. Therefore, the aim of this research is to analyze the recent trend of Chinese patents in the IoT field. China has been very active between 2010 and 2014, surpassing USA, and the this trend will accelerate in the future. The results of the analysis are as follows. First, the number of IoT-related patents in China increased rapidly from 2010 to 2014. Second, the major actors that led this quantitative increase are firms including ZTE and higher education institutes such as Nanjing University of Posts and Telecommunications. Lastly, major technological fields and the convergence networks amongst those fields were analyzed. As a result, it was found that the patenting activity in H04L was the most active and this field has led the convergence among other technological fields.