• Title/Summary/Keyword: IoT Monitoring

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SDN-Based Collection-path Steering for IoT-Cloud Service Monitoring Data over SmartX-mini Playground (SmartX-mini Playground 상의 IoT-Cloud 서비스에 대한 SDN 기반 모니터링 데이터 수집 경로 설정)

  • Yoon, Heebum;Kim, Seungryong;Kim, JongWon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.11
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    • pp.1598-1607
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    • 2016
  • Safe transmitting monitoring data is essential for supporting IoT-Cloud services efficiently. In this paper, we find ways to configure data path flexibly in SDN based for IoT-Cloud services utilizing SmartX-mini Playground. To do this, we use ONOS(Open Network Operating System) SDN Controller, ONOS NBI Applications made from us to check flexible and safe data path configuration for IoT-Cloud monitoring data transmitting in real IoT-SDN-Cloud environments.

Continuous Integration for Efficient IoT-Cloud Service Realization by Employing Application Performance Monitoring (효율적인 IoT-Cloud 서비스 실증을 위한 응용 성능 모니터링을 활용한 지속적인 통합)

  • Bae, Jeongju;Kim, Chorwon;Kim, JongWon
    • KIISE Transactions on Computing Practices
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    • v.23 no.2
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    • pp.85-96
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    • 2017
  • IoT-Cloud service, integration of Internet of Things (IoT) and Cloud, is becoming a critical model for realizing creative and futuristic application services. Since IoT machines have little computing capacity, it is effective to attaching public Cloud resources for realizing IoT-Cloud service. Furthermore, utilizing containers and adopting a microservice architecture for developing IoT-Cloud service are useful for effective realization. The quality of microservice based IoT-Cloud service is affected by service function chaining which inter-connects each functions. For example, an issue with some of the functions or a bottleneck of inter-connection can degrade the service quality. To ensure functionality of the entire service, various test procedures considering various service environments are required to improve the service continuously. Hence in this paper, we introduce experimental realization of continuous integration based on DevOps and employ application performance monitoring for Node.js based IoT-Cloud service. Then we discuss its effectiveness.

A Study on the Development for Environment Monitoring System of Micro Data Center (마이크로 데이터센터의 환경 모니터링 시스템 개발 연구)

  • Lee, Kap Rai;Kim, Young Sik
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.355-360
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    • 2022
  • In this paper, we present design and developing method for EMS(environment monitoring system) of micro data center. This developing EMS monitors operating environment of micro data center and analyze sensing data through IoT(Internet of things) sensors in real time. Firstly we present configuration method of IoT sensing package and design method EMS hardware platform. Secondly we design data collector software for data collection of IoT sensor with different protocol and develop monitoring software of EMS. The data collector software consists of sensor collector module and collector manager module. Also we design EMS software which has micro service architecture structural style and component based business logic.

System Hardening and Security Monitoring for IoT Devices to Mitigate IoT Security Vulnerabilities and Threats

  • Choi, Seul-Ki;Yang, Chung-Huang;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.2
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    • pp.906-918
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    • 2018
  • The advent of the Internet of Things (IoT) technology, which brings many benefits to our lives, has resulted in numerous IoT devices in many parts of our living environment. However, to adapt to the rapid changes in the IoT market, numerous IoT devices were widely deployed without implementing security by design at the time of development. As a result, malicious attackers have targeted IoT devices, and IoT devices lacking security features have been compromised by attackers, resulting in many security incidents. In particular, an attacker can take control of an IoT device, such as Mirai Botnet, that has insufficient security features. The IoT device can be used to paralyze numerous websites by performing a DDoS attack against a DNS service provider. Therefore, this study proposes a scheme to minimize security vulnerabilities and threats in IoT devices to improve the security of the IoT service environment.

Smart Device based ECG Sensing IoT Applications (스마트 디바이스 기반 ECG 감지 IoT 응용 서비스에 관한 연구)

  • Mariappan, Vinayagam;Lee, Seungyoun;Lee, Junghoon;Lee, Juyoung;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.11 no.3
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    • pp.18-23
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    • 2016
  • Internet of things (IoT) is revolutionizing in the patient-Centered medical monitoring and management by authorizing the Smartphone application and data analysis with medical centers. The network connectivity is basic requirement to collect the observed human beings' health information from Smartphone to monitor the health from IoT medical devices in personal healthcare. The IoT environment built in Smartphone is very effective and does not demand infrastructure. This paper presents the smart phone deployed personal IoT architecture for Non-Invasive ECG Capturing. The adaptable IoT medical device cum Gateway is used for personal healthcare with big data storage on cloud configuration. In this approach, the Smartphone camera based imaging technique used to extract the personal ECG waveform and forward it to the cloud based big data storage connectivity using IoT architecture. Elaborated algorithm allows for efficient ECG registration directly from face image captured from Smartphone or Tablet camera. The profound technique may have an exceptional value in monitoring personal healthcare after adequate enhancements are introduced.

Development of Autonomous Cable Monitoring System of Bridge based on IoT and Domain Knowledge (IoT 및 도메인 지식 기반 교량 케이블 모니터링 자동화 시스템 구축 연구)

  • Jiyoung Min;Young-Soo Park;Tae Rim Park;Yoonseob Kil;Seung-Seop Jin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.3
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    • pp.66-73
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    • 2024
  • Stay-cable is one of the most important load carrying members in cable-stayed bridges. Monitoring structural integrity of stay-cables is crucial for evaluating the structural condition of the cable-stayed bridge. For stay-cables, tension and damping ratio are estimated based on modal properties as a measure of structural integrity. Since the monitoring system continuously measures the vibration for the long-term period, data acquisition systems should be stable and power-efficiency as the hardware system. In addition, massive signals from the data acquisition systems are continuously generated, so that automated analysis system should be indispensable. In order to fulfill these purpose simultaneously, this study presents an autonomous cable monitoring system based on domain-knowledge using IoT for continuous cable monitoring systems of cable-stayed bridges. An IoT system was developed to provide effective and power-efficient data acquisition and on-board processing capability for Edge-computing. Automated peak-picking algorithm using domain knowledge was embedded to the IoT system in order to analyze massive data from continuous monitoring automatically and reliably. To evaluate its operational performance in real fields, the developed autonomous monitoring system has been installed on a cable-stayed bridge in Korea. The operational performance are confirmed and validated by comparing with the existing system in terms of data transmission rates, accuracy and efficiency of tension estimation.

Laboratory Environment Monitoring: Implementation Experience and Field Study in a Tertiary General Hospital

  • Kang, Seungjin;Baek, Hyunyoung;Jun, Sunhee;Choi, Soonhee;Hwang, Hee;Yoo, Sooyoung
    • Healthcare Informatics Research
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    • v.24 no.4
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    • pp.371-375
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    • 2018
  • Objectives: To successfully introduce an Internet of Things (IoT) system in the hospital environment, this study aimed to identify issues that should be considered while implementing an IoT based on a user demand survey and practical experiences in implementing IoT environment monitoring systems. Methods: In a field test, two types of IoT monitoring systems (on-premises and cloud) were used in Department of Laboratory Medicine and tested for approximately 10 months from June 16, 2016 to April 30, 2017. Information was collected regarding the issues that arose during the implementation process. Results: A total of five issues were identified: sensing and measuring, transmission method, power supply, sensor module shape, and accessibility. Conclusions: It is expected that, with sufficient consideration of the various issues derived from this study, IoT monitoring systems can be applied to other areas, such as device interconnection, remote patient monitoring, and equipment/environmental monitoring.

Application on Autonomous Things Monitoring System for IoT Platform of Smart City (스마트시티 IoT플랫폼 구축을 위한 자율사물 모니터링 시스템 적용성 평가)

  • Yoo, Chan Ho;Baek, Seung Cheol
    • Land and Housing Review
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    • v.11 no.1
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    • pp.103-108
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    • 2020
  • Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

IoT Based Disaster Mitigation and Safety Monitoring Technologies (IoT 기반 재난예방 및 안전 모니터링 기술)

  • Myeong, S.I.;Lee, H.;Lee, H.J.;Lee, K.B.
    • Electronics and Telecommunications Trends
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    • v.33 no.1
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    • pp.101-110
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    • 2018
  • Based on the main technologies of the 4th Industrial Revolution, industries including the smart home, transportation, agriculture, factory, energy, and medical care industries are rapidly developing. Disaster management technologies and services based on state-of-the-art convergence technologies are being widely applied for the purposes of public safety. State-of-the-art scientific technologies including the Internet of Things (IoT) are expected to offer alternative solutions to pending issues of disaster and safety. Particularly in disaster management, a "prevention activity"to avoid and control disasters in advance is essential, and thus disaster prevention and safety monitoring technologies based on hyper-connected intelligence are fundamental for society during the 4th Industrial Revolution. IoT technologies are being actively applied and utilized in various fields to prevent social and natural disasters. In this article, we introduce the development trends of disaster prevention and safety monitoring technologies based on IoT technologies.

Data Monitoring using Raspberry Pi in IoT Environment (IoT 환경에서 라즈베리파이를 이용한 데이터 모니터링)

  • Lee, Dong-Hyung;Lee, Kang-Min;Yun, Hyeon-Seong;Jung, Jae-Hoon;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.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.

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