• Journal of the Semiconductor & Display Technology
• /
• v.22 no.1
• /
• pp.59-63
• /
• 2023

Various devices have been emerging as a means of measuring indoor air quality, and among them, there are devices that support real-time remote monitoring through IoT technology and a cloud environment. To improve indoor air quality, based on the results determined by measuring devices, air purifiers or ventilation systems may need to be operated, and temperature and humidity control may be required. In this paper, we propose a design of indoor air quality measuring devices required for indoor air quality evaluation, and of the system needed to control relevant devices to improve indoor air quality through the interaction with the measuring devices. Currently, the servers for the interaction of indoor air quality devices and IoT devices are divided into conventional server type and serverless type, comparing the differences in response time of IoT devices to changes of indoor air quality.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.231-232
• /
• 2024

홈 IoT 사용의 확대로 우리의 생활이 편리해진 반면, 보안 취약점을 통해 사생활을 침해하는 문제가 다수 발생하고 있다. 따라서 사용자들이 안전하게 사용할 수 있는 스마트 홈 보안 시스템이 필수적이다. 본 논문에서는 웹 페이지에 홈 IoT 환경을 구성한 후, AWS 서비스를 활용하여 로그를 수집하고 이상 징후를 찾는다. 침입 및 공격이 탐지되면 웹 페이지를 통해 사용자에게 알림을 전송한다. 사용자에게 경고와 조치 안내를 제공하여 빠른 대응이 가능하도록 한다.

• KIPS Transactions on Computer and Communication Systems
• /
• v.7 no.10
• /
• pp.259-268
• /
• 2018

Due to the development of cities and the increase of vehicles, effective control of parking space management service in cities is needed. However, the existing parking lot management system does not provide limited or convenient service in terms of space and time. In this paper, we propose distributed parking space management service based on large scale LPWA (Low-Power Wide-Area). The parking sensor collects parking space information from the parking lot and is transmitted over a low-power wide network. All parking data is processed and analyzed in the IoT cloud. Through a parking space management service system in all cities, users are given the temporal convenience of determining the parking space and the area efficiency of the parking space.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.6
• /
• pp.1105-1112
• /
• 2022

Field data monitoring systems such as renewable energy generation and smart farm integrated control are developing from PC and server to mobile first, and various wireless communication and application services have emerged with the development of IoT technology. Low-power wide-area networks are services optimized for low-power, low-capacity, and low-speed data transmission, and data collected in the field is transmitted to designated storage servers or cloud-based data platforms, enabling data monitoring. In this paper, we implement an IoT repeater that collects field data with a single device and transmits it to a wireless carrier cloud data flat using a low-power wide-area network, and a monitoring app using it. Using this, the system configuration is simpler, the cost of deployment and operation is lower, and effective data accumulation is possible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.533-535
• /
• 2021

The differences between this study and previous studies are as follows. First, by building a cloud-based system using IoT technology, the system was built to monitor the status of buildings in real time from anywhere with an internet connection. Second, a model for predicting the future was developed using artificial intelligence (LSTM) and statistical (ARIMA) methods for the measured time series sensor data, and the effectiveness of the proposed prediction model was experimentally verified using a scaled-down building model. Third, a method to analyze the condition of a building more three-dimensionally by visualizing the structural deformation of a building by convergence of multiple sensor data was proposed, and the effectiveness of the proposed method was demonstrated through the case of an actual earthquake-damaged building.

• Journal of Korea Multimedia Society
• /
• v.20 no.8
• /
• pp.1369-1378
• /
• 2017

Pub/Sub (Publish/Subscribe) paradigm is a simple and easy to use model for interconnecting applications in a distributed environment. In general, subscribers register their interests in a topic or a pattern of events and then asynchronously receive events matching their interest, regardless of the events' publisher. In order to build a low latency lightweight pub/sub system for Internet of Things (IoT) services, we propose a GQSFPS (Group Quorum System-based Fog Pub/Sub) system that is a core component in the event-driven service oriented architecture framework for IoT services. The GQSFPS organizes multiple installed pub/sub brokers in the fog servers into a group quorum based P2P (peer-to-peer) topology for the efficient searching and the low latency accessing of events. Therefore, the events of IoT are cached on the basis of group quorum, and the delay-sensitive IoT applications of edge devices can effectively access the cached events from group quorum fog servers in low latency. The performance of the proposed GQSFPS is evaluated through an analytical model, and is compared to the GQPS (grid quorum-based pud/sub system).

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.174-175
• /
• 2017

최근 모바일 디바이스 대상 애플리케이션이 급속도로 성장하며 모바일 컴퓨팅과 클라우드 컴퓨팅을 결합한 모바일 클라우드 컴퓨팅의 패러다임이 확산되고 있다. 한편 사물인터넷이 확산되며 다양한 센서 데이터를 수집할 수 있는 사물인터넷 디바이스를 통한 클라우드 컴퓨팅의 필요성이 증가하고 있다. 이러한 IoT 디바이스는 적지 않은 컴퓨팅 성능을 가지고 있음에도 불구하고 대부분 비교적 저수준의 컴퓨팅을 수행하거나 많은 시간을 유휴 리소스의 형태로 낭비하고 있는 실정이다. 본 논문에서는 IoT 디바이스의 리소스를 통합해 모바일 클라우드 컴퓨팅 인프라의 구축 및 운영을 위한 스킴 IDRIS(IoT device's Resource Integration Scheme)를 제안한다. IDRIS는 IoT 디바이스를 통해 수집한 센서 데이터의 처리를 외부 클라우드의 원격 서버가 아닌 사용자가 구성한 개인 모바일 클라우드를 통해 컴퓨팅을 수행할 수 있도록 하는 스킴을 제공한다.

• Journal of Internet of Things and Convergence
• /
• v.1 no.1
• /
• pp.21-25
• /
• 2015

The Internet of Thing (IoT) will be a very important core technology to implement Intelligent Smart Home Network and it will take charge of an important role connected to Smart Phone, Cloud Computing in the Ubiquitous environment. In this paper, Internal Autonomous Regulation by human autonomic nervous system was studied and its core mechanism was applied to the design of IoT based Autonomous Regulation System for Intelligent Smart Home Network. We proposed an autonomous regulating mechanism in which the factors of Temperature, Humidity and Illumination are automatically adjusted as they communicate with the connected things.

• Convergence Security Journal
• /
• v.15 no.4
• /
• pp.27-33
• /
• 2015

In this paper, the development level of information security technology for internet of things(Iot), big data and clo ud services is analyzed, and the detail policy is proposed to be leader in area of patents and ICT standard. The conc ept of ICT convergence is defined frist, market and current state of technology for three convergence services is the n analyzed, and finally main function and security target for each technology are presented. The evaluation criteria a nd IPR are analyzed to diagnose the level of patent and standard for the technology. From the results, even though the domestic competence is inferior compared to other advanced country, the efficient policy should be presented by using our capability for the big data and cloud. Furthermore, the technology development for the IoT and cloud is ne eded in advance considering the market-technology influence effects. In addition to, M2M security framework in IoT, data security in big data and reliable networking in cloud should be developed in advance.

• Journal of Internet of Things and Convergence
• /
• v.10 no.1
• /
• pp.53-58
• /
• 2024

IoT, Big-data, AI, and Cloud technologies, which are core technologies of the 4th Industrial Revolution, have recently been applied to various fields and are being used as core technologies for new growth engines. Accordingly, these core technologies are applied to the agricultural field without exception, contributing to solving the problem of labor shortage, reducing production costs, and reducing environmental burden through remote and automated production without time and space constraints. However, as these core technologies are utilized, security incidents are occurring in the agricultural field as well. Accordingly, this study divides smart farms into three stages(Basic, Middle, and High) and presents the characteristics and security threats of each stage. In particular, as the number of container-based services and research increases under cloud platforms, we would like to suggest countermeasures focusing on security threats.