• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.261-264
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• 2018

As the application of IoT has diversified, there is a growing need to store information of sensors on servers in real time. However, building servers and collecting data requires a lot of money to secure existing PCs and storage space. This paper presents an easy way to build a cloud system at a low cost. This system presents the process of simply proposing and implementing a cloud system using Raspberry which is open hardware and Node-Red which is open software.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.865-872
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• 2017

Recently, in response to the Internet age, the demand for hardware devices has been increasing, centering on the rapidly growing smart home field, due to the growth and management of sensor and control technology, mobile application, network traffic, big data management and cloud computing. In order to maintain the sustainable development of the hardware system, it is necessary to update the system, and the hardware device is absolutely necessary in real time processing of complex data (voice, image, etc.) as well as data collection. In this paper, we propose a method to simplify the control and communication method by integrating the hardware devices in two operating systems in a unified structure to solve the simultaneous control and communication method of hardware under different operating systems. The performance evaluation results of the proposed integrated hardware and the cloud control system connected to the cloud server are described and the main directions to be studied in the field of internet smart home are described.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.399-406
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• 2023

Cloud computing has been evolved to support edge computing architecture that combines fog management layer with edge servers. The main reason why it is received much attention is low communication latency for real-time IoT applications. At the same time, various cloud task scheduling techniques based on artificial intelligence have been proposed. Artificial intelligence-based cloud task scheduling techniques show better performance in comparison to existing methods, but it has relatively high scheduling time. In this paper, we propose a deep learning-based dynamic scheduling with multi-agents supporting scalability in edge computing environments. The proposed method shows low scheduling time than previous artificial intelligence-based scheduling techniques. To show the effectiveness of the proposed method, we compare the performance between previous and proposed methods in a scalable experimental environment. The results show that our method supports real-time IoT applications with low scheduling time, and shows better performance in terms of the number of completed cloud tasks in a scalable experimental environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.949-952
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• 2016

클라우드 기반 IoT 환경에서 광범위하게 설치된 디바이스는 보안성 강화 또는 기능 수정을 위해 소프트웨어를 원격에서 갱신할 필요가 있다. 디바이스는 하드웨어 자원과 네트워크 성능이 한정적이기 때문에 갱신 과정에서 발생하는 네트워크 트래픽을 줄여야하며 서비스가 중지되는 시간을 줄이기 위해 갱신 소요시간을 단축시켜야 한다. 이를 해결하기 위해 본 논문에서는 갱신 과정에서 가상화 기술을 이용하여 이미지를 계층화 하고, 캐싱하는 방식을 이용한 소프트웨어 갱신 프레임워크를 제안한다. 이미지 계층화는 소프트웨어와 종속 파일을 담은 이미지 파일의 수정, 변경, 추가된 부분을 새로운 계층으로 생성하고 관리하는 것을 일컫는다. 캐싱은 갱신 과정에서 서버에서 전송한 이미지를 게이트웨이에 저장하고 다른 디바이스가 갱신을 요청하면 저장된 이미지를 서버를 거치지 않고 전송하는 것을 말한다. 이를 적용하여 새로운 계층만 전송하고, 중복된 데이터의 전송을 줄여 네트워크 트래픽 발생량을 줄이고, 설치 파일의 용량을 줄여 갱신 소요시간을 줄인다. 본 논문에서 제안하는 프레임워크는 트래픽 발생량과 갱신 소요시간이 기존 방식에 비해 감소한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.587-590
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• 2015

IoT 환경에서 서로 다른 사양을 갖는 기기 간 통신에서의 보안 취약성, 사용자의 프라이버시 데이터 유출, 인가 받지 않은 기기나 사용자로 인한 기기 위 변조, 기기 오작동 등의 보안 위협 발생 가능성이 증가할 것이라는 예측과 더불어 다양한 보안 위협에 대응할 수 있는 보안 기술에 대한 관심이 높아지고 있다. 본 논문에서는 신뢰 보안 모듈과 클라우드 서버를 이용한 기기 간 원격 인증 및 기기 관리 방법에 대해 기술한다. 수 많은 기기가 인터넷으로 연결되어 운용되는 IoT 환경에서 신뢰 보안 모듈을 활용한 IoT 기기 간 원격 인증, 기기 보안 업데이트 및 안전한 기기 관리 기능 등을 통해 보다 안전하고 신뢰할 수 있는 IoT 서비스 제공이 가능해짙 수 있을 것이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1105-1112
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• 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 Society of Computer Information Conference
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• 2019.07a
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• pp.243-244
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• 2019

본 논문에서는지속 가능한 IoT Platform을 개발 하였다. 개발된 IoT(Internet of Things) Platform은 센서를 제어하는 특정 시스템과의 통신을 통한 제어 및 데이터 전달에 용이하고, 제한된 통신 환경 및 낮은 전력에서도 지속적인 작동이 가능하여 가용성(Availability)과 확장성(Extensibility)이 뛰어나다. 본 논문에서는 지속 가능한 IoT Platform의 테스트를 위해 클라우드 컴퓨팅 플랫폼인 AWS EC2(Amazon Elastic Compute Cloud, EC2)에 구축하였으며, DataBase 서버로는 오픈 소스 관계형 데이터베이스 관리 시스템인 MariaDB를 선정하였으며, 센서를 제어하는 특정 시스템인 스마트 미러 시스템(Smart Mirror System)과 미세먼지 제어 시스템(Air Quality Control System)에 기존의 Google IoT Platform에서 사용되는 MQTT Protocol(Message Queuing Telemetry Transport Protocol)와 지속 가능한 IoT Platform를 위해 개발된 TCP/IP Protocol를 사용하여 비교했다. 개발된 IoT Platform은 UTM(Unmanned Aircraft System Traffic Management)으로 확장할 계획이다.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.311-322
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• 2014

IoT(Internet of Things) is a concept of connected internet pursuing direct access to devices or sensors in fused environment of personal, industrial and public area. In IoT environment, it is possible to access realtime data, and the data format and topology of devices are diverse. Also, there are bidirectional communications between users and devices to control actuators in IoT. In this point, IoT is different from the conventional internet in which data are produced by human desktops and gathered in server systems by way of one-sided simple internet communications. For the cloud or portal service of IoT, there should be a file management framework supporting systematic naming service and unified data access interface encompassing the variety of IoT things. This paper implements a DB-based virtual file system maintaining attributes of IoT things in a UNIX-styled file system view. Users who logged in the virtual shell are able to explore IoT things by navigating the virtual file system, and able to access IoT things directly via UNIX-styled file I O APIs. The implemented virtual file system is lightweight and flexible because it maintains only directory structure and descriptors for the distributed IoT things. The result of a test for the virtual shell primitives such as mkdir() or chdir() shows the smooth functionality of the virtual file system, Also, the exploring performance of the file system is better than that of Window file system in case of adopting a simple directory cache mechanism.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.829-835
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• 2017

Recently, the health issues triggered by fine dust matters occurred in higher frequency. Having adverse effects on health, particulate matters affect the human body indoors as well as outdoors. There is thus a need for a system to measure the concentration of particulate matters and control harmful particulate matters for human health in the indoor spaces where people live. The present study applied Internet of Things(IoT) technologies in order to increase the efficiency of the conventional fine dust measurement system. Especially, for the bidirectional communication environment, directly construct a separate server and applied to the system instead of a free cloud server also we used it directly in the school lab and home. When the proposed system is used in schools and homes, it can recognize the indoor environment quickly and it is expected that this will gradually contribute to the health of the individual. Users can also check the server data outside and deal with the current indoor situations.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.223-232
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• 2016

This study focuses on the new teaching assistance robot platform and the cloud-based education service model to support the server. In the client area we would like to use the teacher assistant robot in elementary school classrooms to utilize the language education service platform. Emerging IoT technology will be adopted to provide a comfortable classroom environment and various media interfaces. Extensive precedent review and case study have been conducted to identify basic requirements of proposed service platform. Embedded system and technology for image recognition, speech recognition, autonomous movement, display, touch screen, IR sensor, GPS, and temperature-humidity sensor were extensively investigated to complete the service. Key findings of this paper are optimized service platform with cloud server system and possibilities of potential smart classroom with intelligent robot by adopting IoT and BIM technology.