• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.66-67
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• 2016

최근 수많은 국 내외 글로벌 기업들이 클라우드 자원의 제공자 겸 소비자 역할을 하는 프라이빗 IaaS 클라우드 환경을 구축하고 있는 추세이며 이를 위해 오픈소스 클라우드 플랫폼인 오픈스택(OpenStack)이 많이 사용되고 있다. 이 논문에서는 대규모 빅데이터 처리를 위해 오픈스택 클라우드 환경의 가상머신 라이브 마이그레이션 기법을 사용할 경우 발생할 수 있는 문제점을 분석한다. 이러한 문제점에 대하여 가상머신에서 빅데이터 연산 처리 시 스토리지 병목현상을 해결하기 위한 마이그레이션 기법을 제시한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.290-291
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• 2018

최근 해상교통량이 증가하고 연안 항해에 대한 관제 필요성이 요구되면서 선박 교통 관제구역이 점차 확대되는 추세이다. 이러한 관제구역의 확대는 관제사의 업무 부하를 초래하며, 이로 인해 교통 혼잡 시간대와 같이 교통량이 급증하는 경우 관제사가 위험 상황을 인지하지 못하는 상황도 발생하게 된다. 이러한 배경에서 본 논문에서는 관제 업무의 지원을 위해 이상 거동 선박을 자동으로 식별하는 방법을 제안하고자 한다. 제안하는 방법은 기계학습 기술을 기반으로 관제구역 내의 통항 패턴을 모델링하고, 이를 통해 이상 거동 선박을 식별하는 방법으로, 대상 항만의 누적된 AIS 데이터를 이용하여 모델을 학습하며, 실제 항적 및 시뮬레이션 데이터를 이용한 실험을 통해 선박교통관제시스템에의 활용 가능성을 고찰한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.308-309
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• 2021

과거의 연구들은 교통 속도만을 활용하여 교통 속도 예측 문제에 접근했다. 그러나 교통 속도의 비선형성으로 인해 정확한 예측이 어려워, 최근에는 교통 속도에 영향을 미칠 수 있는 외부의 요인을 활용해 정확도를 높인 연구들이 이루어지는 추세이다. 그 중에서도 강수량은 직관적으로 교통 속도와 관련이 있을 것으로 생각되어 자주 사용된다. 다만, 실제로 교통 속도가 강수량에 얼마나 영향을 받는지는 확인되지 않고 대부분의 연구가 적은 양의 데이터로 이루어지기에 강수량이 딥 러닝모델의 정확도를 향상시킬 수 있다고 단언하기는 어렵다. 본 논문은 강수량 데이터가 교통 속도를 변화시키는 양을 정량적으로 측정하고, 딥 러닝 모델의 성능에 미치는 영향을 분석하였다. 그 결과, 강수량이 높을수록 속도가 크게 감소하고 딥 러닝 모델의 정확도 또한 향상되는 것을 확인하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.179-186
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• 2017

Technology forecasting is predict future trend and state of technology by analyzing the results so far of developing technology. In general, a patent has novel information about the result of developed technology, because the exclusive right of technology included in patent is protected for a time period by patent law. So many studies on the technology forecasting using patent data analysis has been performed. The patent keyword data widely used in patent analysis consist of occurred frequency of the keyword. In most previous researches, the continuous data analyses such as regression or Box-Jenkins Models were applied to the patent keyword data. But, we have to apply the analytical methods of discrete data for patent keyword analysis because the keyword data is discrete. To solve this problem, we propose a patent analysis methodology using Bayesian Poisson discrete model. To verify the performance of our research, we carry out a case study by analyzing the patent documents applied by Apple until now.

• Journal of the Korea Society for Simulation
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• v.19 no.3
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• pp.119-125
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• 2010

The moving block bootstrap, the stationary bootstrap, and the threshold bootstrap are methods of simulation output analysis, which are applicable to autocorrelated data. These bootstrap methods assume the stationarity of data. However, bootstrap methods cannot work if the stationary assumption is not guaranteed because of seasonality or trends in data. In the simulation output analysis, threshold bootstrap method is the best in describing the autocorrelation structure of original data set. The threshold bootstrap makes the cycle based on threshold value. If we apply the bootstrap to seasonality data, we can get similar accuracy of the results. In this paper, we verify the possibility of applying the bootstrap to seasonal data.

• Spatial Information Research
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• v.23 no.2
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• pp.21-29
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• 2015

Recently, according to the increasingly populated data, many media and organizations focus on big data, data visualization, information visualization and infographics. Domestically, Chosun.com and Hankyoreh online have improved on the data visualization field and internationally, the Guardian, Wall Street Journal, and New York Times are the leading companies on that area. Until now, many people have recognized infographics as a design-oriented product in Korea. However, one of significant data visualization programs, Tableau Public, can visualize data more efficiently. In this paper, Data Visualization Methods Quadrant for Policy Making is defined, and data analysis and producing infographics are executed. As used data, World Bank open source was adopted and using the number of passenger cars per 1,000 people, two analysis results are extracted. First, in high income group, the more GNI per capita, the lesser Slope is represented and in mid income group, the more GNI per capita positively affects to Slope. Second, in the global finance crisis, the car ownership rate was about 1.7 times than the usual state in the global economy. Through the case study, this paper suggests that the direction of producing infographics should be changed from design-oriented to data-oriented. Moreover, the data-oriented infographics should be propagated as means of scientific research and policy making.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1179-1185
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• 2013

Trend of next generation satellite communication network is distribution and enlargement of network structure with increased network terminals, and traffic which use satellite communication is increasing and frequently occurring. Under specific satellite communication environment that various communication device dynamically forms a network domain and frequently exchanges the data, data-centric publish/subscribe data exchange is more suitable than server/client data exchange. So, this paper analyze DDS performance for application of DDS standard to distribution network management system which aims to efficiently manage limited satellite resource, and also this paper covers comparative study on DDS and SNMP(server/client data exchange). Study compares DDS and SNMP using OPNET, and result of study is analyzed from a network layer performance perspective.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.367-368
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• 2015

스포츠 분야에 과학기술이 적용되면서 3D 영상, 빅 데이터, 스마트폰/패드, 웨어러블 기기 등이 활용되고 운동 역학, 스포츠 측정기술 등과 결합되어 경기력 향상, 체력 증진, 건강, 재미, 즐거움을 더해주는 다양한 스포츠 용품들이 출시되고 있는 추세이다. 본 연구는 국내 스포츠산업의 경쟁력을 향상시키기 위해 해외에서 출시되거나 적용되고 있는 스포츠 용품들을 조사하여 이를 통해 유망기술의 특징을 분석하고 반영하고자 한다.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.4
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• pp.103-110
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• 2018

Services that enhance user convenience by using various IoT devices are increasing with the development of Internet of Things(IoT) technology. Also, since the price of IoT sensors has become cheaper, companies providing services by collecting and utilizing data from various sensors are increasing. The smart IoT home system is a representative use case that improves the user convenience by using IoT devices. To improve user convenience of Smart IoT home system, this paper proposes a method for the control of related devices based on data analysis. Internal environment measurement data collected from IoT sensors, device control data collected from device control actuators, and user judgment data are learned to predict the current home state and control devices. Especially, differently from previous approaches, it uses deep neural network to analyze the data to determine the inner state of the home and provide information for maintaining the optimal inner environment. In the experiment, we compared the results of the long-term measured data with the inferred data and analyzed the discrimination performance of the proposed method.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.14-24
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• 2020

This paper aims to establish an efficient national R&D Application Programming Interface (API) management system for national R&D data-driven management and explore the possibility of using operational data according to the recent global data openness and sharing policy. In accordance with the trend of opening and sharing of national R&D data, we plan to improve management efficiency by analyzing operational data of the national R&D API service. For this purpose, we standardized the parameters for the national R&D APIs that were distributed separately by integrating the individual APIs to build a national R&D API management system. The results of this study revealed that the service call traffic of the national R&D API has shown 554.5% growth in the year as compared to the year 2015 when the measurement started. In addition, this paper also evaluations the possibility of using operational data through data preparation, analysis, and prediction based on service operations management data in the actual operation of national R&D integrated API management system.