• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.513-528
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• 2018

In a smart home environment that integrates IoT technology into a residential environment, the smart home hub provides convenience functions to users by connecting various IoT devices to the network. The smart home hub plays a role as a gateway to and from various data in the process of connecting and using IoT devices. This data can be abused as personal information because it is closely related to the living environment of the user. Such abuse of personal information may cause damage such as exposure of the user's identity. Therefore, this thesis analyzed the threat by using LINDDUN, which is a threat modeling technique for personal information protection which was not used in domestic for Smart Home Hub. We present evaluation criteria for smart home hubs using the Common Criteria, which is an international standard, against threats analyzed and corresponding security requirements.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.11-18
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• 2017

The Objective of this Study is to Prove the Effectiveness of a Smart Water Management(SWM) Technology. The SWM Technology can Reduce the Production Cost using Internet of Thing(IoT) Technology that Utilizes Remote Metering of Consumer's Water usage and Reduce the Leakage of Supply Facilities. The SWM Demonstration Model Installed a Remote Water Leakage Sensor, Smart Metering and Micro Multi Sensor in Water Supply Facility, and Provided Real-Time Monitoring of the Operation Status. Consumers can be Provided the usage of Tap Water and the Water Puality through a Smart Phone Application. At this Time, we Surveyed Whether Consumers save the Tap Water or Drinking Directly using the Tap Water usage Information. Also, this Study is to Verify the Degree of Improvement of Water Supply Rates and Drinking Water Rate, and to Decrease Consumer's Complaints, Operating Costs, and Water Consumption by the SWM Technology. It is also Established a SWM Model Combined with the IoT Sensor at Supply Facilities, operator monitoring system and explored recovery solution detected events. It means the upbringing of the domestic water industry by developing the related technologies and spreading the SWM to advanced levels.

• International Journal of Advanced Culture Technology
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• v.4 no.2
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• pp.34-37
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• 2016

Internet was once used to link ideas, then people and now it is starting to connect all things. IoT constitutes a good paradigm to enable people to design and modify things, and then share their designs and modifications. Through the internet, things nowadays are able to exchange raw data and information, thus enabling the development of a new class of interconnected smart objects. Smart building block toy systema are a newly proposed concept that combines internet technology into educational blocks. It is composed of the IoT environment that has attracted attention recently. In this paper, we design a system using starUML, one of the program development tools in the system design process. Educational content can be shared to learners via the proposed service of the IoT, while also being interesting for young child learners.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.43-44
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• 2016

본 논문은 실시간으로 변하는 사용자의 감정 상태에 적응하여 IoT 조명을 제어를 통해 조명 치료 서비스를 제공하는 시스템을 제안한다. 이를 위해서는 사용자 및 조명의 현재 상태를 인지하고 색상 및 조도를 원하는 상태로 실시간 제어 가능해야 하기에 REST 방식의 API 를 설계하고 구현하였다. 제안하는 시스템은 기존의 조명들을 통합적으로 관리하기 어려웠던 문제를 해결하고 이를 기반하여 조명 치료에 적용하여 사용자에게 편리한 사용성과 조명을 다양한 방법으로 활용할 수 있는 확장성을 제공할 것이다. 제안하는 시스템은 업무공간, 호텔, 가정 등 다양한 장소에서 이용되고, 홈 IoT 디바이스 시장이 확장하고 있는 현시점과 맞물려 사용자들에게 충분한 이용가치를 지닌 시스템이 될 것으로 기대된다.

• Journal of Platform Technology
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• v.9 no.4
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• pp.42-50
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• 2021

Recently, the need to introduce smart farms is increasing in order to solve the problems of intensifying competition such as a decrease in rural population due to aging, a decrease in production, and the inflow of foreign agricultural products, and accordingly, the need for education is increasing. This paper is a study on the implementation of an Android-based IoT smart farm for education so that it can be used in a real environment by reducing the farm's smart farm system. To confirm that Android-based education can be applied in a real environment using the IoT smart farm for education, experiments were performed in automatic mode and manual mode using Bluetooth, Wi-Fi, and server/client communication methods. In the automatic mode, the current status can be checked in real time by receiving all data, and in the manual mode, commands are transmitted in real time using the received sensor data and remote control is performed. As a result of the experiment, it was possible to understand the characteristics of each communication method, and it was confirmed that remote monitoring and remote control of the smart farm using the Android App was possible.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.35-43
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• 2017

In this paper, we propose indoor IoT monitoring system based on visible light communication using smart phone with attracting attentions in recent wireless communication. The main features and contributions of the proposed system developed in this paper are as follows. First, the actual data generated within indoor can be processed via the server by using only the visible light communication. Second, the collected data by using the visible light communication can be monitered by smart phone. Performance evaluation of the proposed system is performed under illumination of the normal fluorescent lamps. We first check successful transmission between transmitting module and receiving module of the data collection system. The monitoring system is tested according to the change of the degree of condensing and distance of the LED and the decoding success rate of the proposed smart phone application. We expect that the proposed system can be applied for indoor and outdoor IoT areas together.

• Journal of IKEEE
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• v.23 no.4
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• pp.1343-1352
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• 2019

To manage the Internet of Things(IoT) Network, which consists of a large number of various devices, a secure and automatic method of strengthening the IoT network is being proposed. Blockchain has a 'smart contract' element of autonomous execution method, which is emerging as a way to not only exchange data quickly without mediators but also securely and automatically manage processes between IoT devices. In this paper, we implement a prototype of the entire IoT device management system based on the EOSIO with DPoS(Distributed Proof of Stake)-based blockchain structure, proposed as a prior study, including the user application DApp(Decentralized Application) and the actual IoT devices (Raspberry Pi-based device, and smart lamp) that interact with the blockchain platform. We analyze the benefits of the system and measure the time overhead to show the feasibility of the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.576-578
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• 2016

Various smart home IoT devices and services while the Internet of things is the development has been provided. The core of the smart home IoT service is that user control the device via the Internet communication. Communication of IoT devices, because most with an IP address within the private network, there is a difficulty in the remote control to control access from outside the network. Any of the methods for remote control, to determine the IP address of each other, there is a UDP hole punching for communication. To ensure the data communication success rate closed to 100%, the UDP hole punching must undergo a process of three stages in some cases. In this paper, to provide a system for managing the remote control policy based on the CEP in order to omit the unnecessary steps on the remote control of IoT devices using UDP hole punching.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.751-756
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• 2018

In smart factories and industrial IoT, all facilities in a factory are monitored over the Internet, thereby facility can reduce the downtime and increase the availiability by preventive maintenance before it breaks down. The abnormal conditions of the major facilities in the plant are caused by abnormal temperature rise, vibration, and variations in noise. Consequently, it is critical to develop a very small smart device that is easily installed in a small space to enable real-time monitoring of the vibration status of the facility. In this study, smart devices were developed for smart factory fault prediction and robustness management using ultra small micro-controllers with WiFi capabilities and MEMS acceleration sensors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.400-403
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• 2021

As IoT technology becomes popular, more and more data is being generated, and the diversity of data is also increasing. In particular, in smart factory or Home IoT systems, data processing is very important because various data is collected and processed in real time through sensors. In this paper, we present a method for collecting, analyzing, and monitoring various data generated by sensors in IoT environment through Raspberry Pi. We also validate its usefulness by demonstrating that the above processed data can be operated in conjunction with smart mirror and mobile application.