• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.294-296
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• 2017

Cloud computing is a computing technique that uploads all the data from a cloud node to a cloud server and provides it to users as a service. This is difficult to provide services in real time depending on the network conditions. This is because it is necessary to download information to the remote site through the network, not the local area, and to download additional services to provide services in the cloud. So fog computing has been proposed as an alternative. In this paper, we propose an efficient data exchange technique between cloud, fog and user. The proposed fog provides services to users and collects and processes data. The cloud is responsible for the flow of data exchange and control between the fog. We propose a standard method for data exchange. The application for this is to process and service the information generated by the BAN (Body Area Network) in the fog, and the cloud serves as a mediator. This can resolve data heterogeneity between devices or services and provide efficient data movement.

• Journal of Bio-Environment Control
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• v.14 no.1
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• pp.29-37
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• 2005

In order to provide fundamental data on utilization of dehumidifier in greenhouses, a condensing type dehumidifier using ground water as a coolant was developed and tested dehumidification performance. The developed dehumidifier was applied to greenhouse with fog cooling system and effect of dehumidification on improvement of evaporative cooling efficiency was analyzed. Results of the dehumidifier performance test showed that dehumidification using ground water as a coolant was sufficiently possible in fog cooling greenhouse. When the set point temperature of greenhouse cooling was $32^{\circ}C$ and as temperatures of ground water rose from $15^{\circ}C\;to\;18^{\circ}C,\;21^{\circ}C\;and\;24^{\circ}C$, dehumidification rates decreased by $17.7\%,\;35.4\%\;and\;52.8\%$, respectively. As flow rates of ground water reduced to $75\%\;and\;50\%$, dehumidification rates decreased by $12.1\%\;and\;30.5\%$, respectively. Cooling efficiency of greenhouse equipped with fog system was distinctly improved by artificial dehumidification. When the ventilation rate was 0.7 air exchanges per minute, dehumidification rates of the fog cooling greenhouse caused by natural ventilation were 53.9%-74.4% and they rose up to 75.4%-95.9% by operating the dehumidifier. In case of using the ground water of $18^{\circ}C$ and flow rate of design condition, it was analyzed that whole fog spraying water can be dehumidified even if the ventilation rate is 0.36 exchanges per minute. As a utilization of dehumidifier, it is possible to improve cooling efficiency of fog system in naturally ventilated greenhouses.

• Journal of Bio-Environment Control
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• v.25 no.1
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• pp.24-29
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• 2016

The objective of this study was to examine the changes in temperature drop and fruit production due to low pressure fog system in plastic greenhouses during summer cultivation of Korean melon. The indoor temperature of plastic house was dropped by $7.6^{\circ}C$ compared to control on July 26th, 2015 from 10:00 to 18:00. Fruit weight was smaller and lighter by 96g compared to control. The sugar content and color parameter were also enhanced due to application of low pressure fog system. The fraction of malformed fruits was decreased by 15.3% in plots where low pressure fog system was applied. The fraction of marketable fruit and yield were increased by 15.3% and 26% compared to control, respectively. As a result, high quality fruit production within plastic house of summer was increased by applying low pressure fog system and it is positively affected the drop of indoor temperature.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.37-47
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• 2018

The number of capabilities of Internet of Things (IoT) devices will exponentially grow over the next years. These devices may generate a vast amount of time-constrained data. In the context of IoT, data management should act as a layer between the objects and devices generating the data and the applications accessing the data for analysis purposes and services. In addition, most of IoT services will be content-centric rather than host centric to increase the data availability and the efficiency of data delivery. IoT will enable all the communication devices to be interconnected and make the data generated by or associated with devices or objects globally accessible. Also, fog computing keeps data and computation close to end users at the edge of network, and thus provides a new breed of applications and services to end users with low latency, high bandwidth, and geographically distributed. In this paper, we propose Edge-Fog cloud-based Hierarchical Data Delivery ($EFcHD^2$) method that effectively and reliably delivers IoT data to associated with IoT applications with ensuring time sensitivity. The proposed $EFcHD^2$ method stands on basis of fully decentralized hybrid of Edge and Fog compute cloud model, Edge-Fog cloud, and uses information-centric networking and bloom filters. In addition, it stores the replica of IoT data or the pre-processed feature data by edge node in the appropriate locations of Edge-Fog cloud considering the characteristic of IoT data: locality, size, time sensitivity and popularity. Then, the performance of $EFcHD^2$ method is evaluated through an analytical model, and is compared to fog server-based and Content-Centric Networking (CCN)-based data delivery methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.257-267
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• 2017

With the development of IoT (Internet of Things) technology, the application area has been diversified and the number of users using this service also has increased greatly. Real time big data generated by many IoT devices is no longer suitable for processing in a cloud computing environment. To solve this issue, fog computing is suggested which minimizes response time and makes real time processing suitable. However, security requirement for new paradigm called fog computing is not established until now. In this paper, we define models for fog computing, and the security requirements for the defined model.

• Journal of the Korea Organic Resources Recycling Association
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• v.26 no.2
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• pp.43-51
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• 2018

The objective of this research was to assess the effect of moisture content and water injection method into the landfill on waste decomposition in an aerobic landfill. Firstly, respirometric experiments were performed in order to assess the effect of initial moisture content (20%, 30%, 40% and 50% respectively) on landfilled waste decomposition. The cumulative oxygen uptake and oxygen uptake rate were highly increased with the increase of initial moisture content. Secondly, lysimeter experiments showed that in comparison with the vertical injection method, dry fog system enhanced decomposition of organic wastes. Also, dry fog system provided uniform moisture distribution more than the vertical injection method within landfill.

• Journal of Bio-Environment Control
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• v.15 no.3
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• pp.211-216
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• 2006

This study was carried out to investigate the effect of greenhouse cooling by a geothermal heat pump system on greenhouse temperature and growth of vegetable transplants in summer season. Greenhouse air temperature in day time was $3-4^{\circ}C$ lower in fog plus shading system than in shading, while in night time that was $5-7^{\circ}C$ lower in geothermal heat pump (GHP) plus shading system compared to shading or fogplus shading. system. Plant height of cucumber, tomato and hot pepper transplants was shortened in GHP plus shading compared to shading or fog plus shading system. And Leaf area and dry weight were slightly decreased in GHP plus shading compared to the other systems. Therefore, healthy transplant index on cucumber, tomato and hot pepper was higher in GHP plusshading than in shading or fogplusshading system.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1224-1227
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• 2017

포그 컴퓨팅 기술은 물리적 환경과 빈번하게 상호작용이 일어나는 사이버-물리 시스템에서 네트워크의 엣지에 있는 시스템이 컴퓨팅 작업을 수행하도록 함으로써 지역의 데이터를 실시간으로 수집하고 처리할 수 있다. 본 논문에서는 스쿨존내에서 안전을 높이기 위한 횡단보도의 신호등에 포그 컴퓨팅 기술을 적용한다. 신호등 시스템은 횡단보도에 접근하는 자동차를 인지하고, 위험 상황을 미리 방지하기 위해 자동차를 제어할 수 있다. 실험을 위해 사물인터넷 기술을 이용해 소형 테스트베드를 만들었으며, 신호 정보를 변화시키며 실험을 수행한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.333-335
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• 2017

모바일 사용과 사물 인터넷 기술의 발전으로 인해 이를 적용할 수 있는 분야가 점점 다양해지고 이러한 기술들을 이용하는 사용자들의 수도 비약적으로 증가하였다. 기존에 존재하던 클라우드 컴퓨팅 기술은 사물 인터넷 환경에 방대한 데이터를 실시간으로 처리하는데 적합하지 않으며, 이러한 문제를 해결하기 위해 사용자와 조금 더 근접한 영역에서 응답 시간을 최소화하고 병목 현상을 해결할 수 있는 포그 컴퓨팅이 제안되었다. 이 논문에선 클라우드 컴퓨팅의 혼잡도 증가와 속도 감소로 인한 문제점을 극복하기 위해 포그 컴퓨팅이라는 새로운 시스템의 개념과 이에 따른 보안 이슈를 정리하고, 연구방향을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.150-152
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• 2022

F2C(Fog-to-Cloud) 환경에서 클라우드와 포그는 긴밀하게 협업하여, 동적으로 작용하며 서비스를 제공할 수 있어야 한다. 이에 본 논문에서는 기존 클라우드/서버 컴퓨팅에서 클라우드 서버 중심의 단방향 서비스 이미지 배포대신에 레지스트리를 이용하여 클라우드, 포그, 그리고 에지까지 서비스 이미지를 배포 가능하게 하여, 동적인 서비스 상호운용이 가능한 시스템을 제안하였다. 또한, 클라우드, 포그에 레지스트리 이미지를 설치하고, 서비스 이미지 등록을 통해 서비스 배포, 실행되는 시스템을 구현하였다.