• Magazine of the Korean Society of Agricultural Engineers
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• v.59 no.1
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• pp.45-52
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• 2017

• Review of Korean Society for Internet Information
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• v.19 no.2
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• pp.27-35
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• 2018

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.10
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• pp.920-929
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• 2014

Recently, embedded system which demand is explosively increasing in the fields of communication, traffic, medical and industry facilities, expands to cyber physical system (CPS) which monitors and controls the networked embedded systems. In addition, internet of things(IoT) technology using wearable devices such as Google Glass, Samsung Galaxy Gear and Sony Smart Watch are gaining attention. In this situation, Samsung Smart Home and LG Home Chat are released one after another. However, since these services can be available only between smart phones and home appliances, there is a disadvantage that information cannot be passed to other terminals without commercial global messaging server. In this paper, to solve above issues, we propose the structure of an indoor location network based on unit space, which prevents the information of the devices or each individual person from leaking to outside and can selectively communicate to all existent terminals in the network using IoT chatting. Also, it is possible to control general devices and prevent external leakage of private information.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.39-48
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• 2019

Purpose: This study aims at developing and implementing Smart Safety Management System based on IoT/ICT Convergence for safety of high-risk groups working at disaster or industrial field. Its functions are as follows. Method: We will develop three devices for keeping the safety of high-risk jobs: Sensor of inactivity, Lora based Refitting technology for communication between high-risk workers, and Lora Gateway for monitoring entire situations. Then we will test three devices in respect of their functions, and propose their applicabilities in the field. Results: The system can send and receive safety tags and danger signals by which sensor technology can detect dangerous state of workers. And its command terminal was developed by low-power wireless communication technology and LoRa Gateway, which can fulfill the lifting functions between safety tags. And, furthermore, the command terminal can monitor dangerous situations of disaster sites in real time and can perform the preemptive rescues. Conclusion: This study proves the functional efficacy of Smart Safety Management System for worker safety in various high-risk occupational groups, and also suggests ways to secure worker safety in disaster area and various high risk industrial sites.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.499-508
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• 2016

According to spreading K-pop globally, the market size related to K-pop stars is increasingly growing at home and abroad. Recently, services and products having direct interaction with the star are emerging. This research aims to propose a new service using a smart, connected social robotic figure that can support interaction between fans and K-pop stars. For this study, we begin by exploring literature about K-pop culture. Also, we investigate cases that connect between fans and stars and then build the development directions for a new service. Based on these development directions, we extract feasible technology and its interaction elements through analysing the cases of social robots. Finally, we propose the social robotic figure service in this research. This service proposed in this study can create and enhance diverse bidirectional communication between fans and stars through employing a user-customized, smart, connected figure based on a IoT platform. This research contributes to approaches for sustainable advance of K-pop through applying IoT technology.

• Smart Media Journal
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• v.11 no.11
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• pp.40-48
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• 2022

In this paper, an educational kit that can be used in AI education was developed to solve the difficulties of AI education. Through this, object detection and person detection in computer vision using CNN and OpenCV to learn practical-oriented experiences from theory-centered and user image recognition (Your Own) that learns and recognizes specific objects Image Recognition), user object classification (Segmentation) and segmentation (Classification Datasets), IoT hardware control that attacks the learned target, and Jetson Nano GPIO, an AI board, are developed and utilized to develop and utilize textbooks that help effective AI learning made it possible.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.85-93
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• 2015

Warehouse Management System (WMS) is a key control for Material Handling System (MHS) and Inventory Control System (ICS). How to design and implement for WMS is crucial factor for achieving the key performance index for Manufacturing Industry. In particular, iron and steel making industry, where the volume and weight is large and hence FIFO (First Input First Out) is not working, how to design WMS is a key factor. In this paper, we systematically define the problem of WMS via developing StR (Stakeholders' Requirements) or ORD (Operational Requirement Documents), SyR (System Requirement), and SA (System Architecture) based on the emerging technologies. In particular, IoT (Internet of Things), CPS (Cyber Physical System) concepts and enabling technologies haves been incorporated in developing Smart WMS. The deliverables of the research can provide a conceptual framework for developing the next generation industrial WMS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.43-44
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• 2018

본 논문에서는 SDN환경에서 트래픽 분류를 위한 특징 선택 기법을 제안한다. 최근 들어 다양한 스마트폰 어플리케이션이나 다양한 IoT 기기들이 등장하고 있다. 다양한 IoT 기기나 어플리케이션은 엄청난 양의 트래픽을 발생시킨다. 엄청난 양의 트래픽은 전송속도를 저하시킬 뿐만 아니라, 높은 Quality of Service(QoS)를 보장하기가 힘들다. 또한 이러한 문제점들을 보안하기 위해 Software Defined Networking(SDN)이라는 기술이 빠른속도로 발전하고 있으며, 본 논문에서는 다양한 어플리케이션과 IoT 기기의 트래픽을 SDN환경에서 분류 하며, 트래픽의 분류 정확도와 더 빠른 분류를 위해 트래픽의 특징 선택 기법을 제안한다. 특징 선택을 수행한 뒤, 트래픽 분류를 진행하면 트래픽 분류 정확도를 높이고, 트래픽 분류시간은 줄어드는 효과를 보이며, 높은 QoS를 보장함으로써, 기존 네트워크 트래픽의 부하가 줄어드는 우수한 성능을 보인다.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.3
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• pp.133-141
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• 2018

There are increasing interests on smart home systems. However, most of the existing works focus on the functionality itself. In this paper, we propose an extensible smart home system based on low power networking such as CoAP, 6LoWPAN, and Zigbee. The proposed home IoT system consists of Home APP, Home Server, Home Broker, and Power Devices. Each component of the system is connected by the low-power network technologies aforementioned. As the end device, Power Device senses the current consumption of the attached appliance and controls the power to it. Power Device reports the sensing data to Home Server via Home Broker. The Home Broker enhances the scalability of the system. Home Broker extends the service area and the user's services, and it manages the connection of the underlying devices and processes, and transmits data to Home Server from Power Devices. Through the experimental evaluation, we show that the proposed system achieves the design goals such as extensibility and low power networking.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.926-927
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• 2016

최근 IoT 기술의 발전함에 따라, 사용자들은 스마트폰을 통해 각종 전자 기기를 관리할 수 있게 되었다. 본 논문에서는 실외의 다양한 환경 정보를 이용하여 사용자가 객관적인 판단을 할 수 있는 IoT 기반 실시간 기상관측 시스템을 소개한다. 본 시스템을 통해 사용자는 내부에서 실외의 환경을 알 수 있어 오늘의 기상정보를 알 수 있도록 한다. 향후 다양한 환경정보 및 정밀한 센서를 사용하여 각 가정 및 농업분야에 보급되면 기상청에서도 보다 세밀하고 많은 데이터를 얻는데 도움이 될 것으로 기대한다.