• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.207-210
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• 2018

인플루언서(Influencer)란 소셜 미디어에서 유난히 많은 영향력과 파급효과를 가지고 오는 사람들을 말하며, 이들이 만들어내는 콘텐츠는 이제는 자신들의 브랜딩을 넘어선 커머스(Commerce) 효과를 발휘하고 있다. 본 논문에서는 소셜 웹 그리고 공공데이터를 중심으로 뷰티 빅데이터와 방송 콘텐츠 빅데이터를 수집하고 분석하여 상호 상관성에 기반하여 화장품 관련 기업에서 CRM(Customer Relation Management), PLM(Product Lifecycle Management, SCM(Supply Chain Management System) 등의 경영정보시스템과 연계한 뷰티 분야에 최적화된 통합 경영정보시스템을 제안한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.166-174
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• 2010

SSDs are one of the best media to support portable and desktop computers' storage devices. Their features include non-volatility, low power consumption, and fast access time for read operations, which are sufficient to present flash memories as major database storage components for desktop and server computers. However, we need to improve traditional index management schemes based on B-Tree due to the relatively slow characteristics of flash memory operations, as compared to RAM memory. In order to achieve this goal, we propose a new index management scheme based on a compressed hot-cold clustering called CHC-Tree. CHC-Tree-based index management improves index operation performance by dividing index nodes into hot or cold segments and compressing pointers and keys in the index nodes and clustering the hot or cold segments. The offset compression techniques using unused free area in cold index node lead to reduce the number of slow erase operations in index node insert/delete processes. Simulation results show that our scheme significantly reduces the write and erase operation overheads, improving the index search performance of B-Tree by up to 26 percent, and the index update performance by up to 23 percent.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.89-96
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• 2009

In the future energy environment, a power information system will meet the real-time capability to process the emergency events, unexpected blackouts or over-load, and the high performance to provide the consumer service events such as remote meter reading. In addition to, it must have facility which is able to process a large information occurred on system effectively. In this paper, we developed a distributed power information system based on event with metadata processing technique which was both load balancing and decreased hot spot using XML that was efficient for information exchange. In order to experiment, we made a reduced future power system with controling power device using wireless communications and we could do experiments through it.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.313-321
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• 2005

외국의 하드웨어 제조업체들이 가상화 스토리지 기술을 발표하고 IT업계에선 가상화 스토리지 사업이 핫이슈(Hot Issue)로 떠오르고 있다. 가상화 스토리지 솔루션은 별도의 물리적인 저장공간이 필요없이 순간적인 데이터 복제가 가능한 하드웨어 디스크 및 소프트웨어를 가리킨다. 가상화 스토리지 솔루션을 이용하면 신속하게 데이터를 복제가 가능하다. 또한 데이터를 복제하기 위한 별도의 물리적인 저장공간이 필요없는 특정을 갖고 있다. 가상화 스토리지 솔루션의 핵심은 스냅샷(Snap shot) 기술이다. 이를 통해 복제에 걸리는 시간을 몇 초에서 몇 분 내 끝낼 수 있으며, 1 테라바이트를 이전의 방법으로 복제하기 위해서는 수 시간이 필요하지만 스냅샷 기술을 사용하면 불과 몇 분 안에 이를 끝낼 수 있다. 가상화 스토리지 솔루션은 저장장치 관련 비용을 절감할 수 있는 방안으로 연구되고 있다.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.98-105
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• 2009

In this paper, new data centric storage that is dynamically adapted to the change of work load is proposed. The proposed data centric storage distributes the load of hot spot area by using multilevel grid technique. Also, the proposed method is able to use existing routing protocol such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on a operating system for sensor networks, and evaluate the performance through running based on a simulation tool.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.11-12
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• 2014

데드라인을 고려한 스케쥴러는 데드라인 내에 잡을 완료시키기 위해 노드의 실시간 I/O 부하, 데이터 지역성 등을 이용한다. 하지만 데드라인을 만족시키기 위한 기법이 오히려 노드부하를 야기하는 현상이 나타난다. 본 논문에서는 노드의 부하에 따라 맵리듀스 처리 성능이 저하되는 문제점을 해결하기 위해 새로운 스케줄링 기법을 제안한다. 제안하는 스케줄링 기법은 우선 순위에 의해 중지되는 작업의 발생을 감소시키기 위해 동일한 작업을 중복적으로 수행시키는 사행 작업(speculative task)를 처리한다. 맵리듀스 작업의 지연이나 취소를 방지시키기 위해 핫 데이터 청크를 성능이 우수한 노드에 복제한다.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.1-6
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• 2019

The proposed model is developed to minimize the loss of information in incomplete data including missing data. The first step is to transform the learning data to compensate for the loss information using the data extension technique. In this conversion process, the attribute values of the data are filled with binary or probability values in one-hot encoding. Next, this conversion data is input to the deep learning model, where the number of entries is not constant depending on the cardinality of each attribute. Then, the entry values of each attribute are assigned to the respective input nodes, and learning proceeds. This is different from existing learning models, and has an unusual structure in which arbitrary attribute values are distributedly input to multiple nodes in the input layer. In order to evaluate the learning performance of the proposed model, various experiments are performed on the missing data and it shows that it is superior in terms of performance. The proposed model will be useful as an algorithm to minimize the loss in the ubiquitous environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.669-670
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• 2016

In this study, we developed an application that athletic leaders can refer to the map data, separated by a hot zone results of student athletes (Hot Zone) and cold zones (Cold Zone). The sport developed in this study is basketball. Athletic club's coachs can analyze a high probability of a student scoring players can use them to further improve training results. And student athletes also can through the accumulated data to identify their strengths and weaknesses expect motivation and performance enhancement, and accordingly expected to further study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5865-5872
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• 2011

Multi-hop communication in clustering system is the technique that forms the cluster to aggregate the sensing data and transmit them to base station through midway cluster head. Cluster head around base station send more packet than that of far from base station. Because of this hot spot problem occurs and cluster head around base station increases energy consumption. In this paper, I propose a cluster group head selection using trajectory clustering technique(CHST). CHST select cluster head and group head using trajectory clustering technique and fitness function and it increases the energy efficiency. Hot spot problem can be solved by selection of cluster group with multi layer and balanced energy consumption using it's fitness function. I also show that proposed CHST is better than previous clustering method at the point of network energy efficiency.

• Journal of IKEEE
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• v.14 no.1
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• pp.1-7
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• 2010

This paper presents an implementation of the DisplayPort AUX(Auxiliary) Channel. DisplayPort uses Main link, AUX Channel and Hot Plug Detect line to transfer the video & audio data. For isochronous transport service, source device converts to image and audio data which are to be transported through the Main Link and transports the restructured image and audio data to sink device. The AUX Channel provides link service and device service for discovering, initializing and maintaining the Main link. Hot Plug Detect line is used to confirm the connection between source device and sink device. The AUX Channel is implemented with 3315 LUTs(Look Up Table), 1466 Flip Flops and 168.782MHz max speed synthesized using Xilinx ISE 9.2i at SoC Master3.