• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.575-576
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• 2017

Recently, research have smart gateways can provide additional services through the IoT and Big Data. However, the existing System is number of devices connected increases to the Server, the stability of the network is degraded and data security is poor. In this paper, we design a smart gateway VPN tunneling control system based on IoT to solve these problems. we propose an effective VPN tunneling technology for low-end targets such as routers, and a method for efficiently controlling traffic in real-time in an environment where the quality of the Internet line changes dramatically. It is possible to control the sensor in the home safely through the VPN at the remote place.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1142-1147
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• 2016

Recently, IoT(Internet of Things) has been extensively researching to provide intelligent services by fusing ICT. Especially with the advent of Germany's Industry 4.0, it is emphasized the importance of the industrial IoT to maximize the production capacity. Accordingly, a lot of efforts to spread the smart factory base of industrial IoT have continued domestically as well as abroad. But the current smart factory systems have controlled equipment using the data declared in the embedded systems. Therefore, it is difficult to control environment that lots of equipment is installed. In this paper, we proposed equipment control system based on data base access method for industrial IoT. This method controls the equipment using data base from parameter of equipment. Through experiments that the system apply to mold shot system with a number of variables, it is shown that the proposed method can efficiently control a number of devices.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.256-264
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• 2023

Smart farm technology using IoT is one of the technologies that can increase productivity and improve the quality of agricultural products in agriculture, which is facing difficulties due to the decline in rural population, lack of rural manpower due to aging, and increase in diseases and pests due to climate change. . Smart farms using existing IoT simply monitor farms, implement smart plant growers, and have automatic greenhouse opening and closing systems. This paper implements a smart farm system based on MQTT, an industry standard protocol for the Internet of Things, and Node-RED, a representative development middleware for the Internet of Things. First, data is extracted from Arduino sensors, and data is collected and transmitted from IoT devices using the MQTT protocol. Then, Node-RED is used to process MQTT messages and store the sensing data in real time in MongoDB, a representative NoSQL, to store the data. Through this smart farm system, farm managers can use a computer or mobile phone to check sensing information on the smart farm in real time, anytime, anywhere, without restrictions on time and space.

• Information and Communications Magazine
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• v.34 no.2
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• pp.6-11
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• 2017

IoT 연구과제와 관련하여 향후 비즈니스에서 가장 중요한 근거가 되는 IoT 플랫폼을 스마트홈, 자동차 등에서 기업과 제품개발 동향을 살펴 보았다. IoT 플랫폼은 크게 가정을 중심으로 하는 스마트 홈, 이동 공간을 넘어 새로운 생활 공간으로 확장이 가능한 자동차 공간, 제품의 제조, 배송 등이 모두 이루어지는 스마트 팩토리 등으로 나누어질 수 있다. 이중 스마트 홈과 관련해서는 가정 내의 가전기기의 융합과 통합의 중심이 되는 역할을 어떤 기기, 어떤 방식의 인터페이스가 주도권을 잡아 갈지는 관련 기업들에게는 사활을 건 승부처가 된다. 그런 면에서 금번 전시회에서 아마존의 알렉사는 매우 중요한 음성인식 기반의 인터페이스로 부각되었다. 특히 향후 가정의 중심 기기가 무엇이든지 그 기기를 통합하는 인터페이스로 다양한 제휴 제품을 아마존이 아닌 다른 업체들로 하여금 소개할 수 있게 함으로써 향후 매우 중요한 위치를 잡았다고 볼 수 있다. 자율주행차는 아직까지 플랫폼으로 연결할 만큼 주도적인 사물인터넷 인터페이스는 선보이지 않았지만, 역시 알렉사 등이 포드, 현대, 도요다 등을 통해 채택된 것을 볼 수 있었고, 그 밖에 헬쓰케어와 연계한 차별화를 통해 꽤하는 것들도 볼 수 있었다. 다만 자율주행차가 새로운 생활 공간으로 자리잡기까지는 자율주행차의 상용화가 이루어질2020년 이후까지는 기다려야 할 것으로 보인다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.309-312
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• 2021

본 연구에서는 약 관리를 효율적으로 할 수 있는 IoT 기반의 스마트 약상자를 개발하였다. 약을 정기적으로 먹어야 하는 사용자에 대해 약 복용 현황 및 남아 있는 약의 상황 등을 모니터링 하여 효과적으로 관리할 수 있다. 이를 위해 약을 보관할 수 있는 상자를 3D 프린터를 이용하여 제작하였으며, 사용자의 복약 현황을 나타내주는 LCD를 전면에 배치했다. 또한, 약상자 내부에 있는 서보모터를 활용하여 정해진 복용 시간에 정해진 양만큼의 약을 제공할 수 있도록 하였다. 제안하는 스마트 약상자를 이용하여 사용자의 복약을 효율적으로 관리할 수 있으며 복약 순응도를 높이고 약물의 오남용을 막는데 도움을 줄 수 있다.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.49-54
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• 2016

The IoT has attracted attention as one of the technologies that are applied to various industries and create new services. The IoT can utilize existing network technologies to create services by providing Internet connection between objects. Objects Personalized services can be created by collecting various data using the IoT. In the field of agriculture, we are promoting sustainable agriculture and enhancing competitiveness through the use of the IoT, and the convergence of IoT in agriculture is pushing for smart agriculture. In Korea, the Ministry of Agriculture, Food and Rural Affairs is preparing measures to spread smart farms to improve agricultural competitiveness using IoT technology. Therefore, we propose the development model of smart agriculture in the future through the case study on the IoT based on agriculture.

• KIISE Transactions on Computing Practices
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• v.21 no.12
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• pp.762-767
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• 2015

An Internet of Things (IoT) is a system where various "things" are connected to each other via a wired/wireless network, and where information is gathered, processed, and interchanged/shared. One of the important actors in IoT is a mobile IoT device (such as a smartphone or tablet). These devices tend to consume a large amount of power in order to provide various high performance application services; however, as the devices cannot be supplied with power all the time, efficient power management is necessary. Power management of mobile IoT devices involves complex relationships between various entities such as application processors (APs), HW modules inside/outside AP, operating systems, mobile IoT platforms, and applications. In order to develop power-efficient mobile IoT devices, a method is needed to systematically analyze these relationships and manage power based on a clear understanding of them. To address this problem, software engineering principles for the development of power-efficient mobile IoT devices are presented in this paper. The feasibility of the proposed principles have been validated in the domain of smartphone camera power management.

• 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.

• The Journal of Bigdata
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• v.6 no.1
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• pp.161-178
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• 2021

The importance of 'Big Data' is increasing to the point that it is likened to '21st century crude oil'. For smart city IoT data, attention should be paid to quality control as the quality of data is associated with the quality of public services. However, data quality indicators presented through ISO/IEC organizations and domestic/foreign organizations are limited to the 'User' perspective. To complement these limitations, the study derives supplier-centric indicators and their priorities. After deriving 3 categories and 13 indicators of supplier-oriented smart city IoT data quality evaluation indicators, we derived the priority of indicator categories and data quality indicators through AHP analysis and investigated the feasibility of each indicator. The study can contribute to improving sensor data quality by presenting the basic requirements that data should have to individuals or companies performing the task. Furthermore, data quality control can be performed based on indicator priorities to provide improvements in quality control task efficiency.