• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.262-265
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• 2020

최근 현대인에게는 질좋은 숙면이 필수적이다. 건강한 숙면을 위해서는 편안한 수면환경이 중요하므로 IoT베개와 매트는 개개인에게 맞는 수면 자세를 잡아 효율적으로 현대인들의 수면의 질을 높여줄 것이다. IoT의 베개의 센서가 머리의 움직임과 방향을 실시간으로 모니터링하여 설치된 장치가 자세를 바로잡아주고 장치와 연동된 앱을 통하여 수면의 종류와 패턴, 수면 시간을 상세분석하는 체계적인 맞춤형 수면 관리를 통해 수면 건강정보를 제공할 것이다. 또한, 수면 건강정보를 서버에서 종합하여 각 가정의 환자의 상태를 모니터링하여 원격진료가 가능하다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.9
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• pp.828-840
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• 2014

There is a new evolution in technological advancement taking place called the Internet of Things (IoT). The IoT enables physical world objects in our surroundings to be connected to the Internet. For this idea to come to life, two architectures are required: the Sensing Entity in the environment which collects data and connects to the cloud and the Cloud Service that hosts the data. In particular, the combination of wireless sensor network for sensing and cloud computing for managing sensor data is becoming a popular intervention for the IoT era. The pharmaceutical cold chain requires controlled environmental conditions for the sensitive products in order for them to maintain their potency and fit for consumption. The monitoring of distribution process is the only assurance that a process has been successfully validated. The distribution process is so critical that anomaly at any point will result in the process being no longer valid. Taking the cold chain monitoring to IoT and using its benefits and power will result in better management and product handling in the cold chain. In this paper, Arduino based wireless sensor network for storage and logistics (land and sea) is presented and integrated with Xively cloud service to offer a real-time and innovative solution for pharmaceutical cold chain monitoring.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.81-87
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• 2020

In this paper, proposes a health status monitoring system for socially marginalized elderly households living alone. This system is implemented by collecting various PHR biometric signals and residential environment information through IoT devices. In addition, the company aims to establish a basic infrastructure that can understand the situation of lonely deaths and implement prevention programs by strengthening the predictive ability through data analysis of the DB server based on PHR and information collected from IoT sensors. The sensor consists of an environmental information collection sensor and a noncontact and wearable sensor for biometric signal collection. A gateway is required to transmit the collected data to the server, and the prototype is presented in this paper. The paper has a discussion purpose of policy task for expanding medical welfare service. The results of this study are believed to help expand services to the socially marginalized and improve the medical environment of the people.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.199-205
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• 2021

The distributing board in directly installed on the ground or the bottom surface of the building, and when vibrations such as earthquakes or external shocks occur, the possibility of damage or malfunction of electric components such as internal power devices, wiring, and protection relays increases. Recently, the need for a seismic type distributing board is increasing, and research and development of a distributing board having a vibration damping function and product launch are being conducted. In this paper, an IoT-based data collection device system capable of measuring vibration and environmental data of distributing board was designed and implemented. When vibration occurred on the distributing board, data was stored and visualized in the MySQL DB through Node-RED for monitoring and data storage using the MQTT protocol for reliable messaging transmission. The test was conducted by attaching the IoT device of the distributing board, and data was collected in real-time and monitored through Node-RED.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.10
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• pp.1957-1963
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• 2017

This paper has proposed a new-type groundwater auto-monitoring system based on Multi-Sensor Device. The system adopted Multi-Sensor Device as host computer of data acquisition, used Windows Mobile which was prevalent operation system of Multi-Sensor Device. It adopted serial port CAN and RS485 as the communication interface between goundwater sensor Device and monitor host machine and utilized serial-linked multi-sensor design to measure effectively according to the depth of groundwater. We present a design for a groundwater monitoring system based on a network of wirelessly linked sensors. The proposed solution will enable groundwater researchers and decision makers to have quick access to the groundwater data with less effort and cost. Though our design is initially meant for groundwater monitoring, it can be easily adapted to other fields of environmental monitoring.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.206-206
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• 2021

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1217-1222
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• 2020

Currently, studies on environmental pollution are being conducted in worldwide including Korea. Among them, various efforts are being made to prevent the health and environmental pollution of the people nationwide by keeping and managing the indoor air of various facilities used by many users. In particular, it is suggested that many people who visit medical institutions have diseases or illnesses and may have a significant impact on chronic diseases such as headache, depression, neuroticism, heart disease, and cancer related to indoor air pollution. Considering this situation, this paper is expected to provide comfortable and clean indoor environment to the inmate by providing central monitoring of air pollution and automatic call function of the person in charge through indoor air monitoring IoT system to be applied to medical institutions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.235-237
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• 2018

최근 IoT 센서 즉, 사물 인터넷 기반 기술에 대한 연구가 많이 진행되고 있으며, 다양한 제품들이 출시되고 있다. 대표적으로 홈 IoT 제품으로 가정에서 인터넷과 스마트폰 어플리케이션을 이용하여 가스 밸브, 보일러, 전등 등을 제어하는 것을 볼 수 있다. 하지만, 농업분야에서는 농작물 생산지의 환경 정보를 수집하고, 그에 맞춰 온습도 등을 제어하기 위해 관리자 혹은 생산자가 수동적으로 처리해야만 하는 단점이 존재하였다. 본 논문에서는 비닐하우스와 축산농가 등에서 사용할 수 있는 IoT 센서 기반 무인 관리 어플리케이션을 설계하고자 한다. 사용자가 비닐하우스 혹은 축산농가에 들어가지 않아도 사용자가 스마트폰 어플리케이션을 통해 모니터링 하면서 온습도를 조절하고, 센서의 고장 유무를 파악하여 교체시기를 알려 주는 등의 기능을 포함 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.131-134
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• 2020

스마트시티로 가는 첫걸음이자 핵심이라 할 수 있는 IoT 기술이 우리의 삶을 변화시키고 있다. 원격에서 집 내부의 상태를 확인하며 조정할 수 있고, 집 내부의 상황도 영상을 통해 확인할 수 있게 되었다. 이처럼 IoT 기술은 우리 삶의 편리함을 제공하고 중요한 요소가 되었지만, IoT 환경 관리의 주체가 사용자 개인이거나 IoT 환경상태를 모니터링하며 관리할 수 있는 수단이 없어 관리가 되지 않고 있고 공격을 받아도 사용자가 알 수 없다는 특성 때문에 IoT 보안에 있어 심각한 문제를 일으킬 수 있다. 이러한 문제에도 불구하고 IoT 보안에 대한 인식과 IoT 환경에 특화된 관리 시스템은 갖춰지지 않고 있다. 본 논문에서는 오픈 소스 데이터 분석 및 시각화 솔루션인 Elastic Stack을 활용하여 손쉽게 IoT 환경을 관리하고 상태를 시각화하여 제공하는 IoT 환경 관리 시스템을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.206-209
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• 2018

According to data released by the WHO(World Health Organization), the death toll from indoor air pollution in 2016 was about 3.8 million. While many people are aware of outdoor air pollution, indoor air pollution is getting less attention. Recently, however, indoor air pollution has also become a big problem, raising many issues. Frequent indoor activities such as cooking and heating produce various pollutants, which can cause children and elderly with weak immune systems to be exposed to pollutants, which can cause serious health problems such as poor lung function and respiratory diseases. Therefore, in this paper, the IoT(Internet of Things) platform that measures and monitors indoor air quality using AQ(Air Quality) sensors is developed so that data can be monitored in real time through applications and reactive web.