• 한국인터넷방송통신학회논문지
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• 제14권6호
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• pp.119-123
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• 2014

본 연구에서는 익일부하예측 기능을 갖는 빌딩에너지관리시스템을 제시한다. 기존의 빌딩에너지 관리시스템은 빌딩내의 다양한 인프라를 이용하여 에너지를 감시 한다 그러나 이러한 시스템을 구현하기 위해서는 많은 인프라 구축비용이 소요 되어, 에너지 절감을 위한 인프라 구축비용과 실제 절감된 전기 요금을 비교 할 경우, 에너지 절감을 위해 투자한 비용을 전기 요금 절약으로 회수하는데 수년이 걸리고, 또한 인프라 설비 유지 보수를 고려할 경우, 결과적으로 에너지 절약 효과가 미비하다. 따라서 본 연구에서는 보다 저렴하고 합리적인 방법으로 빌딩의 에너지 소비를 억제할 수 있도록, 기상청데이터와 한전의 ISmart 데이터를 기반으로 데이터마이닝기법을 이용하여 빌딩의 익일 부하 사용량을 예측하고 이를 기반으로 빌딩 부하의 On/Off를 수행하도록 빌딩에너지관리시스템을 구현함으로써 상대적으로 저렴한 비용으로 빌딩에너지 사용의 합리화를 이루도록 하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2899-2902
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• 2003

Mobile communication is one of the fastest growing industries in the world and especially in Korea, where we have well over 30 million voice subscribers. Mobile communication now offers variety of data communication services such as wireless internet, multimedia messages, and color graphic displays. Handsets also have grown to accommodate such services, thus with functionalities such as programmable virtual machines that users can download and execute their own programs. In this paper, we have demonstrated a PCS handset monitoring system which can monitor biometry signals - in this case ECG over wireless internet and wireless data network (IS95C) based on programmable virtual machine architecture. The remote client handset receives data signals from a centralized server and processes and displays them in human friendly form in real time. Since every single handset on sales in Korea has programmable virtual machine and more than 10 million handsets are in distribution already, proper applications may have substantial impact on the related fields.

• Asia pacific journal of information systems
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• 제15권1호
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• pp.115-133
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• 2005

This study is to develop an information security management model(ISMM) for small and medium sized enterprises(SMEs). Based on extensive literature review, a five-pillar twelve-component reference ISMM is developed. The five pillars of SME's information security are: centralized decision making, ease of management, flexibility, agility and expandability. Twelve components are: scope & organization, security policy, resource assessment, risk assessment, implementation planning, control development, awareness training, monitoring, change management, auditing, maintenance and accident management. Subsequent survey designed and administered to expose experts' perception on the importance of these twelve components revealed that five out of tweleve components require relatively immediate attention than others, especially in SME's context. These five components are: scope and organization, resource assessment, auditing, change management, and incident management. Other seven components are policy, risk assessment, implementation planning, control development, awareness training, monitoring, and maintenance. It seems that resource limitation of SMEs directs their attention to ISMM activities that may not require a lot of resources. On the basis of these findings, a three-phase approach is developed and proposed here as an SME ISMM. Three phases are (1) foundation and promotion, (2) management and expansion, and (3) maturity. Implications of the model are discussed and suggestions are made for further research.

• 전자공학회논문지CI
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• 제45권5호
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• pp.155-161
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• 2008

자동화된 건강관리 모니터링은 많은 시간이 소요되고, 많은 문제들이 발생할 수 있다. 왜냐하면 정시에 환자들의 건강 상태에 대한 모니터링 정보를 제공받기 어렵기 때문이다 이 논문에서는 임베디드된 건강 관리 서비스가 iSCSI 프로토콜에 의해 제안된다. 이 프로토콜은 자동화된 멀티에이전트와 제한된 자원의 디바이스들(예. PD4 스마트폰, 테블릿PC)의 협력체계에 기반을 두고 있다. 이 둘의 협력체계는 쌍방향 iSCSI 프로토콜에 의해 유지된다. 자동화된 건강관리 제어는 반복되는 방식에서 매우 유용할 수 있다. 완전 집중화된 제어에서는 이 방법이 적용될 수 없다.

• 한국전자통신학회논문지
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• 제15권6호
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• pp.1217-1222
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• 2020

현재 우리나라를 포함하여 전 세계적으로 환경오염에 관한 연구가 지속으로 진행되고 있으며 그중에서도 다수의 사용자가 이용하는 다양한 시설의 실내 공기를 청정하게 유지, 관리하여 국가적으로 국민의 건강과 환경오염을 예방하기 위해 관련 법령을 시행 등 다양한 노력 들이 이루어지고 있다. 특히 의료기관의 경우 방문하는 다수의 사람이 질환이나 질병을 갖고 있으며 실내 공기 오염과 관련하여 두통, 우울증, 신경과민, 심장병, 암 등의 만성질환에 유의한 영향을 미칠 수 있음이 시사되고 있다. 이러한 상황을 고려하여 본 논문에서는 의료기관에 적용하기 위한 실내 공기 모니터링 IoT 시스템을 통해 공기 오염도에 대한 중앙 모니터링 및 담당자 자동 호출 기능 등을 제공하여 재실자에게 쾌적하고 청정한 실내 환경을 제공할 수 있기를 기대한다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.33-41
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• 2020

Nowadays, distributed mobility management (DMM) approaches have been widely adopted to address the limitations of centralized architectural methods to support seamless data transmission schemes in wireless sensor networks. This paper deals with the end-to-end (E2E) integration of Network Mobility (NEMO) basic support protocol in distributed wireless sensor network systems in structural health and environmental monitoring of social overhead capital (SOC) public infrastructures such as bridges, national highways, tunnels, and railroads. The proposed scheme takes advantage of the features of both the NEMO basic support protocol and partially distributed network-based DMM framework in providing seamless data transmission and robust mobility support. The E2E seamless data transmission scheme allows mobile users to roam from fixed-point network access locations and mobile platforms (i.e., vehicles such as cars, buses, and trains) without disconnecting its current sessions (i.e., seamless handover).

• Journal of Communications and Networks
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• 제8권1호
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• pp.123-131
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• 2006

Several distributed architectures, incorporating mobile agent technology, have been recently proposed to answer the scalability limitations of their centralized counterparts. However, these architectures fail to address scalability problems, when distributed tasks requiring the employment of itinerant agents is considered. This is because they lack mechanisms that guarantee optimization of agents' itineraries so as to minimize the total migration cost in terms of the round-trip latency and the incurred traffic. This is of particular importance when MAs itineraries span multiple subnets. The work presented herein aspires to address these issues. To that end, we have designed and implemented an algorithm that adapts methods usually applied for addressing network design problems in the specific area of mobile agent itinerary planning. The algorithm not only suggests the optimal number of mobile agents that minimize the overall cost but also constructs optimal itineraries for each of them. The algorithm implementation has been integrated into our mobile agent framework research prototype and tested in real network environments, demonstrating significant cost savings.

• 스마트미디어저널
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• 제5권4호
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• pp.41-48
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• 2016

In mobile ad hoc networks(MANETs), all the nodes in a network have limited resources. Therefore, communication topology which has long lifetime is suitable for nodes in MANETs. And MANETs are exposed to various threats because of a new node which can join the network at any time. There are various researches on security problems in MANETs and many researches have tried to make efficient schemes for reducing network power consumption. Power consumption is necessary to secure networks, however too much power consumption can be critical to network lifetime. This paper focuses on energy efficient monitoring node distribution for enhancing network lifetime in MANETs. Since MANETs cannot use centralized infrastructure such as security systems of wired networks, we propose an efficient IDS node distribution scheme using minimum spanning tree (MST) method to cover all the nodes in a network and enhance the network lifetime. Simulation results show that the proposed algorithm has better performance in comparison with the existing algorithms.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3169-3171
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• 1999

One of the important purposes o Telecommunications power plant operation is to supply safe power for maintaining the reliable communication services. Therefore, the power plant operation support system is generally used for efficient and maintenance of power plant without the increment of the operation and maintenance staffs. To operate and maintain a number of power plants efficiently, Korea Telecom developed centralized power plant monitoring and control system. In this paper, the system feature and main functions are described.