• Title/Summary/Keyword: IoT 모니터링

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Energy Monitoring System with IoT Devices (IoT 디바이스 기반 에너지 모니터링 및 분석 시스템)

  • Lim, Hojung;Kang, Jeonghoon;Kim, Sanghan;Jung, Hyedong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.900-903
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    • 2016
  • A variety of measures in various fields, buildings, factories, offices, supermarkets, etc. through a sensor installed for energy savings and user convenience are transmitted and received by the cloud server. Also, this kind of sensor service increases considering the user's convenience. In this paper, we research a variety of meter data linkage between oracle database and time series database, and data analysis.

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LTE Cat.M1 Communication Module for Fishing Gear Automatical Identification Monitoring System (어구 자동식별 모니터링을 위한 LTE Cat.M1 통신 모듈)

  • Kim, Seong-Yuel;Lee, Doo-Cheon;Kim, Kwang-On;Yim, Choon-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.682-685
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    • 2021
  • The design and fabrication of LTE Cat.M1 (3GPP Release13 Standardization) modules of ships such as fishing boat and patrol boat are reported in this research. LTE cat.M1 modules are needed to expand the for broadening of IoT services through the ships used in fishing gear automatically identification monitoring system, which is one of applying ICT into the real name system of electric fishing gear.

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A Study on the Improvement of Security Threat Analysis and Response Technology by IoT Layer (IoT 계층별 보안위협 분석 및 대응기술 개선 방안 연구)

  • Won, Jong-Hyuk;Hong, Jung-Wan;You, Yen-Yoo
    • 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.

Development of an IoT-Based Small Wearable Device Attachable to Shoes for Healthcare (신발에 착용 가능한 IoT기반의 헬스케어용 소형 웨어러블 기기 개발)

  • Kim, Hyeongseok;Lee, UnHyun;Kim, Jeongchang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.154-156
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    • 2016
  • 현대사회에서 헬스케어가 대두하고 있는 동시에 자신의 몸 상태와 관련된 정보에 대해 직접 모니터링을 원하는 사람들이 늘어나고 있다. 이에, 본 논문에서는 사용자의 스마트한 건강관리를 위한 웨어러블 (wearable) 기기 및 어플리케이션을 개발한다. 사람의 발은 신체 건강과 밀접한 연관이 있으므로 개발된 시스템은 신발 내에 부착된 압력 및 온습도 센서를 통하여 발의 건강상태를 실시간으로 모니터링할 수 있다. 또한, 제안한 시스템은 하나의 신발에 내장되어 있으므로 사용자가 일상생활 중에 간편하게 발의 건강상태를 스스로 모니터링할 수 있다.

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Open-Source-leveraged Modeling for Marine Environment Monitoring (해양환경 모니터링을 위한 오픈소스 기반 모델링)

  • Park, Sun;Cha, ByungRae;Kwon, JinCheol;Kim, JongWon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.716-717
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    • 2017
  • In this paper, we propose a modeling approach for marine environment monitoring by leveraging open-source software to link IoT and Cloud together. The proposed model can be scale out by employing Apache Hadoop-based time-series database so that it can handle collected data increase with a resource pool of the same computers. It can also support the analyze monitored data of marine environment by visualizing collected data.

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Bio-Signal Data Collection and Monitoring System Using Time Series DB. (시계열 DB를 이용한 생체신호 데이터 수집 및 모니터링 시스템)

  • Kang, Dong-Yoon;Joo, Moon-Il;Hussain, Ali;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.211-212
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    • 2021
  • Recently, as interest in health increases, the wearable market that can collect various biometric information is expanding. In addition, telemedicine and healthcare services through these bio-signals are expected to become common. In this paper, we introduce a service that can store bio-signals collected through IoT equipment in a database and monitor them in real time through the web. By implementing a system for collecting and storing biometric data and real-time monitoring, it can be utilized for various health management diagnosis.

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Smart Factory's Environment Monitoring System using Bluetooth (블루투스를 이용한 스마트팩토리의 환경 모니터링 시스템)

  • Lee, Hwa-Yeong;Lee, Sung-Jin;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.224-226
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    • 2021
  • Recently, in order to increase the efficiency of the product production process, the automation of facilities and devices in the factory is in progress, and a smart factory is being built using ICT and IoT technologies. In order to organically solve many problems occurring in the smart factory, a system for monitoring the wireless communication function between facilities and devices and the manufacturing process environment of the smart factory is required. In this paper, we propose a monitoring system using a Bluetooth module, a temperature/humidity sensor and a fine dust sensor to remotely monitor the process environment of a smart factory. The proposed monitoring system collect Arduino sensor values wirelessly through Bluetooth communication.

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Real-time Reefer Container Monitoring System based on IoT (IoT 기반 실시간 냉장컨테이너 상태 모니터링 시스템)

  • Moon, Young-Sik;Jung, Jun-Woo;Choi, Sung-Pill;Kim, Tae-Hoon;Lee, Byung-Ha;Kim, Jae-Joong;Choi, Hyung-Lim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.629-635
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    • 2015
  • In this paper, we propose the reefer container monitoring system that not only monitors internal temperature, humidity of reefer container but also tracks the real-time location using GPS. It consists of a tag of information of situation using 433MHz RF transmitter(communication), GPS to track the real-time location and a device using WCDMA/GSM communication to transmit information to the server. We tested by applying the proposed system in reefer containers with yellow melons, melons transported from Korea to Singapore to track the location and check the temperature and the humidity. The result of this test is that there is a temperature difference around 1.7 degree depending on the position of inside of container and maintains the humidity stably about 97%. If we apply this proposed system to agricultural marketing, it is possible to get the time that fruits start to decay and minimize the loss of fruits by decaying during shipping.

A Web-based Monitoring of Electrical Energy Consumption and Data Analysis of Smart Farm Facilities (스마트팜 전기 사용에 대한 웹기반 실시간 모니터링 시스템 운영 및 전력사용량 분석)

  • Lee, Mu Yeol;Sim, Sojeong;Kim, Eun-jeong;Han, Young-Soo
    • Journal of Bio-Environment Control
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    • v.31 no.4
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    • pp.366-375
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    • 2022
  • The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring (상시 교량 모니터링을 위한 저전력 IoT 센서 및 클라우드 기반 데이터 융합 변위 측정 기법 개발)

  • Park, Jun-Young;Shin, Jun-Sik;Won, Jong-Bin;Park, Jong-Woong;Park, Min-Yong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.5
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    • pp.301-308
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    • 2021
  • It is important to develop a digital SOC (Social Overhead Capital) maintenance system for preemptive maintenance in response to the rapid aging of social infrastructures. Abnormal signals induced from structures can be detected quickly and optimal decisions can be made promptly using IoT sensors deployed on the structures. In this study, a digital SOC monitoring system incorporating a multimetric IoT sensor was developed for long-term monitoring, for use in cloud-computing server for automated and powerful data analysis, and for establishing databases to perform : (1) multimetric sensing, (2) long-term operation, and (3) LTE-based direct communication. The developed sensor had three axes of acceleration, and five axes of strain sensing channels for multimetric sensing, and had an event-driven power management system that activated the sensors only when vibration exceeded a predetermined limit, or the timer was triggered. The power management system could reduce power consumption, and an additional solar panel charging could enable long-term operation. Data from the sensors were transmitted to the server in real-time via low-power LTE-CAT M1 communication, which does not require an additional gateway device. Furthermore, the cloud server was developed to receive multi-variable data from the sensor, and perform a displacement fusion algorithm to obtain reference-free structural displacement for ambient structural assessment. The proposed digital SOC system was experimentally validated on a steel railroad and concrete girder bridge.