• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.141-143
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• 2014

스마트빌딩에서는 시설물에 대한 효과적인 관리체계 및 안전관리체계를 구축하는 것이 매우 중요하다. 지하 매설관의 경우에는 유속, 유량계 등의 센서를 설치하여 관로 흐름을 상시 감시하며, 노후되거나 슬러지가 축적된 관로는 문제가 발생하기 전에 교체 공사를 지시 할 수 있어야 한다. 본 논문에서는 하수(오수, 우수)도 맨홀 내 정보를 감지하여 실시간으로 전달, 판단, 처리 및 제어 할 수 있는 M2M/IOT 기반의 하수(오수, 우수)도 맨홀 내 모니터링 시스템을 설계 구현한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.109-113
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• 2020

Against the backdrop of low-carbon, green growth, many attention is focused on a sustainable society where humans and nature coexist. Carbon emissions increase with energy consumption, which is 40 percent of the world's energy consumption by buildings. Korea has a plan to make zero-energy houses mandatory only for new buildings in 2025, but it is relying on private technology investment for its technology. The reality is that the current technology costs more than 1.5 times more than general buildings, and private companies do not have many zero-energy house complexes other than experimental houses. This study aims to study the new model of zero energy house by introducing IOT system that efficiently observes and controls energy in zero energy house, monitoring pleasant environment on the web and introducing resident proper temperature maintenance system.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.1-6
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• 2022

In this paper, we will present the realization of a facial recognition system using the ESP32-CAM board controlled by an Arduino board. The goal is to monitor a remote location in real time via a camera that is integrated into the ESP32 IOT board. The acquired images will be recorded on a memory card and at the same time transmitted to a pc (a web server). The development of this remote monitoring system is to create an alternative between security, reception, and transmission of information to act accordingly. The simulation results of our proposed application of the facial recognition domain are very efficient and satisfying in real time.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.73-79
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• 2019

Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

• Korean Journal of Artificial Intelligence
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• v.5 no.2
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• pp.26-42
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• 2017

This study perceived that there are limits to prompt and accurate monitoring when an accident occurs and the correct information of egg production stage, such as the date of spawning, cleaning, and refrigerating cannot be identified, since eggshell codes using barcode only show numbers identifying a city and province and the name of producers. To fix this problem, this study partially suggested the RFID (Radio Frequency Identification) technology and IoT-based Connected System. The proposed system in this study shares data with related agencies as the system of agricultural and livestock product information runs as the main server, and the database information of the proposed system is provided by farmhouses, distributors, and sellers. Through various media such as a webpage or mobile application built to provide the relevant information, customers can search and obtain information about agricultural and livestock products they want. Since the information on an entire process is open to the public, information ranging from simple to clear, additional ones such as hazardous elements can be viewed.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.202-206
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• 2024

Health Related issues has become a savior diseases as growing rapidly they also causing savior issues if they not cure they lead to even death. Fatal Diseases needed to be controlled at early stages to save the patient lives. The Knowledge related to the disease is also important so that it may be cure as soon as possible and also medicine for the illness is also needed to be supplied immediately so that it can be controlled. Some patients also need a continuous monitoring like aged and someone suffering to some fatal disease .IOT based monitoring system with the application of the Raspberry pi and the usage of the Local Area Network to connect the Doctors, Hospital, and Ambulance service also the pharmacy help to start the treatment of the patient effectively. Also acknowledging the doctors and hospital staff will help to save the life of the patient due to knowledge of the disease. Usage such smart and reliable technology will help to monitor the health condition of the patient at home and also connecting with the doctors through the internet will also acknowledge the doctor about the present condition of the patient. This paper presents the effective use of the smart devices and technology to overcome the disease by using such cost effective technology.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1235-1243
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• 2021

Geostationary Ocean Color Imager 2 (GOCI-II) on Geo-KOMPSAT-2 (GK2B)satellite was developed as a mission successor of GOCI on COMS which had been operated for around 10 years since launch in 2010 to observe and monitor ocean color around Korean peninsula. GOCI-II on GK2B was successfully launched in February of 2020 to continue for detection, monitoring, quantification, and prediction of short/long term changes of coastal ocean environment for marine science research and application purpose. GOCI-II had already finished IAC and IOT including early in-orbit calibration and had been handed over to NOSC (National Ocean Satellite Center) in KHOA (Korea Hydrographic and Oceanographic Agency). Radiometric calibration was periodically conducted using on-board solar calibration system in GOCI-II. The final calibrated gain and offset were applied and validated during IOT. And three video parameter sets for one day and 12 video parameter sets for a year was selected and transferred to NOSC for normal operation. Star measurement-based INR (Image Navigation and Registration) navigation filtering and landmark measurement-based image geometric correction were applied to meet the all INR requirements. The GOCI2 INR software was validated through INR IOT. In this paper, status and results of IOT, radiometric calibration and INR of GOCI-II are analysed and described.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.620-626
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• 2020

This research propose and simulate a solar power generation system monitoring system based on Modbus TCP communication using RaspberryPi, an IOT equipment, as a master and an inverter as a slave. In this model, various sensors are added to the RaspberryPi to add necessary information for monitoring solar power plants, and power generation prediction and monitoring information are transmitted to the smart phone through real-time power generation prediction. In addition, information that is continuously generated by the solar power plant is built on the server as big data, and a deep learning model for predicting power generation is trained and updated. As a result of the study, stable communication was possible based on Modbus TCP with the Raspberry Pi in the inverter, and real-time prediction was possible with the deep learning model learned in the Raspberry Pi. The server was able to train various deep learning models with big data, and it was confirmed that LSTM showed the best error with a learning error of 0.0069, a test error of 0.0075, and an RMSE of 0.0866. This model suggested that it is possible to implement a real-time monitoring system that is simpler, more convenient, and can predict the amount of power generation for inverters of various manufacturers.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.53-60
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• 2018

The ICT concept has been introduced to realize a highly productive smart factory and respond to the demand for small quantity and mass production between textile processes. ICT convergence monitoring system that can produce high productivity textile products by improving product development period, cost, quality and delivery time through ICT based production and optimization of manufacturing process is needed. In this paper, we propose and implement a system design that senses the amount of remaining sewing material using a non-contact sensor that can be mounted on a sewing machine and displays it on a display using IOT-based LATTE-PANDA board.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.34-39
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• 2018

Along with the development of ICT technology, wearable devices of various sizes and shapes have been developed. In addition, performance and specifications are rebuilt with IOT fusion products so that they can connect with the current smartphone. This is one of the general-purpose technologies of the 4th industrial revolution, which is spot-lighted with technology that changes the quality and environment of our lives. Along with this, as new technology products combining health care technology increases, various functions are provided to users who need it. Wearable technology is ongoing trend of technology development. It also sells products developed as products in the form of smart watches. At present, various related products are made in various ways, and it is recommended to use the Arduino processor in accordance with the application. In this study, we developed wearable physical activity monitoring system using open source hardware based TinyDuino. TinyDuino is an ultra-compact Arduino compatible board made on the basis of Atmega process Board, and it can be programmed in open source integrated development environment(named Sketch). The physical activity monitoring system of the welfare body can be said to be a great advantage, as a smart u-Healthcare system that can perform daily health management.