• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.316-325
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• 2018

In this paper, to integrate distributed IT resources and manage human resource efficiently as purpose of cost reduction, infrastructure of wind turbine monitoring system have been designed and developed on the basis of SaaS cloud. This infrastructure hierarchize data according to related task and services. Softwares to monitor conditions via the infrastructure are also developed. Softwares are made up of DB design, field measurement, data transmission and monitoring programs. The infrastructure is able to monitor conditions from SCADA data and additional sensors. Total time delay from field measurement to monitoring is defined by modeling of step-wise time delay in condition monitoring algorithms. Since vibration data are acquired by measurements of high resolution, the delay is unavoidable and it is essential information for application of O&M program. Monitoring target is gearbox in wind turbine of MW-class and it is operating for 10 years, which means that accurate monitoring is essential for its efficient O&M in the future. The infrastructure is in operation to deal with the gearbox conditions with high resolution of 50 TB data capacity, annually.

• Smart Media Journal
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• v.6 no.4
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• pp.58-64
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• 2017

Modern society is characterized by rapid increase in world population, aging of the rural population, decrease of cultivation area due to industrialization. The food problem is becoming an important issue with the farmers and becomes rural. Recently, the researches about the field of the smart farm are actively carried out to increase the profit of the rural area. The existing smart farm researches mainly monitor the cultivation environment of the crops in the greenhouse, another way like in the case of poor quality t is being studied that the system to control cultivation environmental factors is automatically activated to keep the cultivation environment of crops in optimum conditions. The researches focus on the crops cultivated indoors, and there are not many studies applied to the cultivation environment of crops grown outside. In this paper, we propose a method to improve the harvestability of poor areas by monitoring the areas with bad harvests by using big data analysis, by precisely predicting the harvest timing of fruit trees growing in orchards. Factors besides for harvesting include fruit color information and fruit weight information We suggest that a harvest correlation factor data collected in real time. It is analyzed using the Apache Spark engine. The Apache Spark engine has excellent performance in real-time data analysis as well as high capacity batch data analysis. User device receiving service supports PC user and smartphone users. A sensing data receiving device purpose Arduino, because it requires only simple processing to receive a sensed data and transmit it to the server. It regulates a harvest time of fruit which produces a good quality fruit, it is needful to determine a poor harvest area or concentrate a bad area. In this paper, we also present an architectural model to determine the bad areas of fruit harvest using strong data analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5783-5789
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• 2014

Since 2002, many domestic companies have been certified for ISMS. On the other hand, certification, such as the need for ost-effectiveness evaluation, is not specifically enforced. Therefore, for more than 10 years, the ISMS implementation and certification system has been used for performance and cost effective business management. In this study, a model for analyzing the effect of certification organizations, ISMS development, and an analysis of the effect of a standardized system for the study was prepared. To this end, the existing maintenance organizations ISMS certification survey was conducted through an analysis of the economic effects. ISMS certification continues to expand or maintain the policy for improvement. The survey data collected by the analysis mechanism for the economic effects of CVM was analyzed.

• Journal of Internet Computing and Services
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• v.5 no.1
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• pp.51-57
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• 2004

Mobile Internet allows users to request critical information and receive swift responses at any places, but mobile users could suffer from unreliable and ill-timed services due to the characteristics of wireless media, One way that reduces possibility of the unsatisfactory services is data replication. Data Replica1ion, however, inevitably induces the overhead of maintaining replica consistency which requires more expensive synchronization mechanism. We propose a new replicated data management scheme in distributed mobile environment, In order to alleviate negative impact of synchronization message overhead in fault-prone mobile Internet environment, we devise a new replication control scheme called proxy quorum consensus (PQC), PQC minimizes the message overhead by coordinating quorum access activities by means of proxy mediated voting (PMV) which exploits reliable proxy hosts instead of unreliable mobile hosts in voting process, We also propose a simulation model to show the performance of PQC. Based on the results of the performance evaluation, we conclude that PQC scheme outperforms the traditional schemes.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.91-99
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• 2021

In the current business environment where dependence on IT has increased rapidly, the risk from disasters or cyber-attacks is also increasing. Business continuity, the ability to continue to provide service in the event of a business disruption caused by a disaster, is essential. In other words, you need to have a plan in place to keep your core business functions uninterrupted with rapid recovery within a predetermined Recovery Time Objective (RTO) and Recovery Point Objective (RPO) time frame. In this paper, we propose a disaster recovery system construction method that can minimize RTO and RPO to ensure business continuity. The system configuration adopts Tier 7 disaster recovery model, synchronous storage replication, hot disaster recovery site, and operation management automation solution. This ensures continuity of core business with virtually no data loss and minimal RTO and RPO.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.6
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• pp.863-871
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• 2013

Recently application of open protocols and external network linkage to the national critical infrastructure has been growing with the development of information and communication technologies. This trend could mean that the national critical infrastructure is exposed to cyber attacks and can be seriously jeopardized when it gets remotely operated or controlled by viruses, crackers, or cyber terrorists. In this paper virtual Honeynet model which can reduce installation and operation resource problems of Honeynet system is proposed. It maintains the merits of Honeynet system and adapts the virtualization technology. Also, virtual Honeynet model that can minimize operating cost is proposed with data analysis and collecting technique based on the verification of attack intention and focus-oriented analysis technique. With the proposed model, new type of attack detection system based on virtual Honeynet, that is Cybertrap, is designed and implemented with the host and data collecting technique based on the verification of attack intention and the network attack pattern visualization technique. To test proposed system we establish test-bed and evaluate the functionality and performance through series of experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.7
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• pp.1585-1600
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• 2009

The goal of Semantic Web is to provide efficient and effective semantic search and web services based on the machine-processable semantic information of web resources. Therefore, the process of creating and adding computer-understandable metadata for a variety of web contents, namely, semantic annotation is one of the fundamental technologies for the semantic web. Recently, in order to manage annotation metadata, direct approach for embedding metadata into the document is mainly used in semantic annotation. However, many semantic annotation tools for web documents have been mainly worked with HTML documents, and most of these tools do not support semantic search functionalities using the metadata. In this paper, based on these problems and previous works, we propose the Ontology-based Semantic Annotation tool(OSA) to efficiently support semantic annotation for web documents(such as HTML, PDF). We define a semantic annotation model that represents ontological-semantic information by using RDFS(RDF Schema). Based on XMP(eXtensible Metadata Platform) standard, the model is encoded directly into the document. By using OSA with XMP, user can perform semantic annotation on web documents which are able to keep compatibility for managing annotation metadata. Eventually, the integrated semantic annotation metadata can be used effectively in semantic search for a variety of web contents.

• The Korean Journal of Archival Studies
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• no.50
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• pp.273-309
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• 2016

Unlike other government agencies, the city of Seoul experienced a three-year gap between the establishment of a function classification system and the introduction of a business management system. As a result, the city has been unable to manage the current status of the function classification system, and this impeded the establishment of standards for records management. In September 2012, the Seoul Metropolitan Government integrated the department in charge of the standard sheet for record management with the department of function classification system into a new department: "Information Disclosure Policy Division." This new department is mainly responsible for record management and information disclosure, and taking this as an opportunity, the city government has pushed ahead with the maintenance project on BRM and Standards for Record Management (hereby "BRM maintenance project") over the past two years, from 2013 to 2014. The study was thus conducted to introduce the case for the improvement of standards for record management through the BRM maintenance project by mainly exploring the case of Seoul. During the BRM maintenance project, Seoul established a unique methodology to minimize the gap between the operation of a business management system and the burden of the person in charge of the BRM maintenance project. Furthermore, after the introduction of the business management system, the city government developed its own processes and applied the maintenance result to the system in close cooperation with the related departments, despite the lack of precedence on the maintenance of the classification system. In addition, training for the BRM managers of the department has taken place twice -before and after the maintenance-for the successful performance of the BRM maintenance project and the stable operation of the project in the future. During the period of maintenance, newsletters were distributed to all employees in an effort to induce their active participation and increase the importance of records management. To keep the performance of the maintenance project and to systematically manage BRM in the future, the city government has mapped out several plans for improvement: to apply the "BRM classification system of each purpose" to the service of the "Seoul Open Data Plaza"; to reinforce the function for task management in the business management system; and to develop the function of a records management system for the unit tasks. As such, the researchers hope that this study would serve as a helpful reference so that the organizations-which had planned to introduce BRM or to perform the maintenance project on classification system-experience fewer trials and errors.

• Proceedings of the Korea Society of Costume Conference
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• 2003.05a
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• pp.42-42
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• 2003

세계적으로 인터넷 이용 인구는 2002년 2월 현재 5억 4천 4백만여명에 이르고 있으며, 우리나라의 인터넷 이용 인구는 2001년 12월말 자료에 의하면 2천4백3십8만여명에 달하는 것으로 보고되고 있다(한국 인터넷정보센터통계보고서, 2002). 또한, 네오위즈는 작년 한 해 아바타 매출 100억원을 돌파, 다모임은 지난해 12월 한달간의 아바타 매출이 3억 6000만원에 달하였으며, 다움(Daum)의 경우 서비스 개시 15일 만에 일일 발생 매출이 1천만원 돌파, 현재 1일 3천500만원의 수익을 올리는 등, 아바타 선두 업체 뿐 아니라 후발 주자들도 큰 수익 창출하고 있다(Economy21- 2002.04.25). 올 한해 아바타 시장규모는 800억원-1000억원으로 예상되고 있으며, 이러한 시장 증대에 따라 기존 캐릭터 업체들이 구축계약 위주에서 서비스 제휴사업으로 아바타모델 제안 및 시장영업이 증대되고 있다. 즉, 아바타 시장은 구축되어 있는 것이 아니라 계속적으로 확대되어 가고 있음. 또한 아바타산업은 인터넷 인프라의 확산과 더불어 아바타의 호응 또한 급격히 상승하고 있으며, 단순히 사이버 세계에서의 분신으로서의 역할에서 벗어나 다양한 부가가치를 구현하는 아바타의 등장으로 아바타의 확산은 계속적인 추세이다. 또한 아바타는 게임, 채팅, 일정관리등 인터넷 전 분야에 걸쳐 Cyber Agent활용도가 확산되고 있으며, 아바타 시장은 초기 일본형 애니메이션 아바타에서 벗어나 아바타와 패션, 아바타와 문화의 접목에 대한 관심이 상승되고 있으며 이로 인한 신규시장이 창출되고 있다 이러한 디지털 시대로의 급격한 발전은 복식문화를 디지털 문화컨텐츠 사업화로의 그 발전방향을 제시하고 있다.2cm 적용하고, 진동두께 계산식은 (B/8-1.5)+2cm를 적용함으로써 진동깊이와 진동두께의 편차가 작아짐으로 인해 소매부위와 진동부위의 맞음새를 향상시켰다. 3) 가슴둘레의 증가에 따라 등길이에 앞길이 치수를 증가시키는 계산식을 설정하여 앞가슴둘레의 맞음새를 향상시켰다. 4) Plus-size여성의 경우 허리부분의 신체적합성을 높이기 위하여 사이드 판넬(side panel)의 재킷원형으로 하였다. 앞 허리와 배 부분의 지방 침착이 크므로 앞 허리둘레 다아트 폭과 앞판 사이드 판넬(side panel) 솔기 다아트 폭을 작게 설정하고, 뒤판 사이드 판넬 솔기 폭을 크게 설정하였다. 5) 어깨끝점 사이길이는 다른 부위의 체지방 침착과 같이 비례적으로 증가하지 않으므로 표준체형에 비해 좁게 설정하였다. 보여주어 우리나라의 선호 질감과는 차이가 있었다. 실제 판매율을 살펴본 결과 주관적 질감 이미지 평가의 선호도와의 비교에서 약간의 차이가 있었는데, 이는 질감 외에 가격이 구매에 영향을 미쳤기 때문으로 분석되었다., 2002; Huun et al, 2001).의 특징이라 할 수 있겠다. 대한 자부심과 국제 사회에서 차별화 할 수 있는 한국 복식 디자인에 독창성과 창조성을 표현하는 중요한 영역임을 인식할 수 있었다.와 보호인자를 재확인할 필요가 있다고 보며 본 연구의 결과는 지역민의 대장직장암 예방을 위한 영양교육 자료로서 활용될 수 있다고 본다. 관여도에 영향을 미치고 있음을 알 수 있었다. 유지되어 쾌적역이 향상된 것으로 사려된다.하였으며, 효율적인 색채 정보로서 활용될 수 있는 패션 색채 팔레트를 제시하였다는데 의의가 있다.′, aesthetic of ′unity in multiplicity′, a

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.391-398
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• 2021

Since the leased line is a structure that exclusively uses two connected areas for data transmission, a stable quality level and security are ensured, and despite the rapid increase in the number of switched lines, it is a line method that is continuously used a lot in companies. However, because the cost is relatively high, one of the important roles of the network operator in the enterprise is to maintain the optimal state by properly arranging and utilizing the resources of the network leased line. In other words, in order to properly support business service requirements, it is essential to properly manage bandwidth resources of leased lines from the viewpoint of data transmission, and properly predicting and managing leased line usage becomes a key factor. Therefore, in this study, various prediction models were applied and performance was evaluated based on the actual usage rate data of leased lines used in corporate networks. In general, the performance of each prediction was measured and compared by applying the smoothing model and ARIMA model, which are widely used as statistical methods, and the representative models of deep learning based on artificial neural networks, which are being studied a lot these days. In addition, based on the experimental results, we proposed the items to be considered in order for each model to achieve good performance for prediction from the viewpoint of effective operation of leased line resources.