• Electronics and Telecommunications Trends
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• v.33 no.1
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• pp.11-19
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• 2018

IoT is used not only as a technical terminology but also as a paradigm representation. As the number of IoT devices spread tremendously throughout the world, they are able to be located anywhere,recognize their environment, and achieve adaptable reactions. All market investigation agencies expect the number of IoT devices to reach tens to hundreds of billions in number. They also expect various technical problems owing to the huge number of connected things and data that will emerge during the AI era. The decentralization of centralized computing for AI is the one of the technical solutions to such problems, and the computing roles for AI will be soon distributed into the things, which can be located anywhere. In this article, the traditional distributed intelligence and its current research activities are introduced, and the next distributed intelligence target for the IoT 2.0 era is briefly touched upon using the keyword Socio-Things.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.95-101
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• 2019

Entering the era of the 4^th Industrial Revolution and the Internet of Things, various services are growing rapidly, and various researches are actively underway. Among them, research on abnormal behaviors on various devices that are being used in the IoT is being conducted. In a hyper-connected society, the damage caused by one wrong device can have a serious impact on the various connected systems. In this paper, We propose a technique to cope with the problem that the threats caused by various abnormal behaviors such as anti-debugging scheme, anomalous process detection method and back door detection method on how to increase the safety of the device and how to use the device and service safely in such IoT environment.

• ETRI Journal
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• v.39 no.1
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• pp.41-50
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• 2017

In connection-oriented data transport services, data loss can occur when a service experiences a problem in its end-to-end path. To resolve the problem promptly, the data transport systems providing the service must quickly modify their internal configurations, which are distributed among different locations within each system. The configurations are modified through a series of problem (event) handling procedures, which are carried out by multiple control processors in the system. This paper proposes a provisioning-to-signaling method for inter-control-processor messaging to improve the time efficiency of event processing. This method simplifies the sharing of the runtime event, and minimizes the time variability caused by the amount of event data, which results in a decrease in the latency time and an increase in the time determinacy when processing global events. The proposed method was tested for an event that required 4,000 internal path changes, and was found to lessen the latency time of global event processing by about 50% compared with the time required for general methods to do the same; in addition, it reduced the impact of the event data on the event processing time to about 30%.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.159-165
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• 2019

'4th Industrial Revolution' is accelerating as a core part of creating new growth engines and enhancing competitiveness of businesses. The fourth industrial revolution means the transformation of society and industries that are brought by IoT (Internet of Things), big data analysis, AI (Artificial Intelligence), and robot technology. Information and Communication Technology (ICT), which is a major factor, is affecting production and manufacturing systems and as ICT technologies become more advanced, intelligent information technology is generally utilized in all areas of society, leading to hyper-connected society where new values are created and developed. ICT technology is not just about connecting devices and systems and making smart, it is about constantly converging and harmonizing new technologies in a number of fields and driving innovation and change. It is no exception to the agro-fisheries trade. In particular, ICT technology is applied to the agricultural sector, reducing labor, providing optimal environment for crops, and increasing productivity. Due to the nature of agriculture, which is a labor-intensive industry, it is predicted that the ripple effects of ICT technologies will become bigger. We are expected to use the Smart Concentration using ICT convergence technology as a useful resource for changing smart farms, and to help develop new service markets.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.75-84
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• 2018

Increasing the operation rate of components and stabilizing the operation through timely management of the core parts are crucial for improving the efficiency of the railroad maintenance industry. The demand for diagnosis technology to assess the condition of rolling stock components, which employs history management and automated big data analysis, has increased to satisfy both aspects of increasing reliability and reducing the maintenance cost of the core components to cope with the trend of rapid maintenance. This study developed a big data platform-based system to manage the rolling stock component condition to acquire, process, and analyze the big data generated at onboard and wayside devices of railroad cars in real time. The system can monitor the conditions of the railroad car component and system resources in real time. The study also proposed a machine learning technique that enabled the distributed and parallel processing of the acquired big data and automatic component fault diagnosis. The test, which used the virtual instance generation system of the Amazon Web Service, proved that the algorithm applying the distributed and parallel technology decreased the runtime and confirmed the fault diagnosis model utilizing the random forest machine learning for predicting the condition of the bearing and wheel parts with 83% accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2724-2730
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• 2015

Internet of Things (IoT) is possibly the most widely discussed technological concept in today's technology circles. This technology is expected to dramatically change not only how we work but also how we live. The concept of IoT basically means a web of connected devices which can be controlled over a data network. With cost of technology required to control these devices going down and increasing internet connectivity through smartphones, IoT is expected to be an all pervasive technology in the next 10 years. In this paper, we study the technological landscape of this fast growing technology domain from an Intellectual Property (Patents) perspective. We find that the patent distribution in this domain is very fragmented with the top patent applicants in the field holding around 5% of the total patents. Especially, the US geography has seen the maximum patent filings and is closely followed by the big Asian markets of Japan and Korea.

• Electronics and Telecommunications Trends
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• v.30 no.6
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• pp.50-57
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• 2015

초연결사회로의 전환에서 ICT기술의 진보는 끌어주고 또한 밀어주는 긴밀한 역학관계를 가지고 있다는 점을 주지하고, ICT기술의 중심축이 될 빅데이터, 클라우드 컴퓨팅, 플랫폼, 스마트센서 디바이스 간의 시차적 활성화 필요성을 제기하고자 한다. 이러한 시차적 활성화의 우선순위 기준으로는 구체적인 서비스 시나리오가 우선적으로 검토되어야 하며 서비스 분야에 따라 기존의 것을 사용하는 부분, 개선이 필요한 부분, 새롭게 개발되어야 하는 부분들이 세밀하게 분석되고 그 기초하에 우선 순위를 결정할 필요가 있겠다. 특히, 향후 수없이 많은 사례들이 출현하게 될 서비스 시나리오에 기초하여 대표적 ICT 디바이스인 센서를 중점적으로 살펴보고자 하였다. 다가오는 초연결사회에서 lCT 디바이스의 진화 방향과 수요에 대응키 위해서는 미래사회의 비전과 사물의 지능화, 그리고 연결성, 개방성, 효율성에 기초한 각 분야의 표준화된 플랫폼의 향방을 예의 주시해야 할 것이다.

• Electronics and Telecommunications Trends
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• v.30 no.5
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• pp.109-117
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• 2015

5세대 이동통신은 소비자와 산업계에 엄청난 잠재력을 제공한다. 기존 기술보다 상당히 빠르게 진행되며 5세대가 보유하고 있는 사회적 및 경제적 가치와 애플리케이션, 그리고 초연결 사회(hyper-connected society)에 이르는 모바일은 사람들의 생활에 더욱 중요한 역할을 담당할 것이다. 세계 이동통신 사업자 협회(Global System for Mobile communications Association: GSMA)는 상업 및 5세대 생태계의 개발을 전략적으로 형성하는 모바일 업계를 대표하는 협회로서 5세대를 형성하기 위해 회원과 파트너가 함께 작업한다. 5세대의 정의가 안정화되면 GSMA는 상업적으로 가능한 5세대 애플리케이션을 개발하기 위해 회원들과 함께 작업할 것이다. 본 논문은 지금까지 개발된 5세대 이동통신의 비전에 대하여 살펴보고자 한다.

• 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.

• Electronics and Telecommunications Trends
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• v.32 no.1
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• pp.1-12
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• 2017

본고에서는 최근 이슈화된 인공지능, 산업 간 경계를 허물어 새로운 산업을 유발하는 제4차 산업혁명, 모든 사물을 연결시키는 초연결 사물인터넷 등을 실현하기 위한 미래 네트워크의 연구개발 동향과 전망을 소개하였다. 모든 사물과 사람들이 디지털 정보화되고, 그 초 대규모 연결 주체간 초 연결성과 그 연결로 생성되는 무한대의 지식정보 서비스가 중심이 되는 초연결 지식정보화 사회 실현을 위한 기술적 특징을 소개하였다. 미래의 초연결 지능정보사회에서 예상되는 초 대규모의 연결성, 정보의 홍수, 초연결에 따른 상호복잡도의 증가, 초연결로 인한 정보화 역기능 문제점과 기술 방향성을 정리하였다. 이 문제점을 해결하기 위한 새로운 초연결 지능 플랫폼의 개념, 참조 모델, 그리고 세부적인 기술적 문제점과 도전방향에 대해 설명하였다.