• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1603-1623
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• 2020

Multiple Mobile Robots System (MMRS) has shown many attractive features in lots of real-world applications that motivate their rapid and wide diffusion. In MMRS, the Cooperative Localization (CL) is the basis and premise of its high-performance task. However, the statistical characteristics of the system noise should be already known in traditional CL algorithms, which is difficult to satisfy in actual MMRS because of the numerous of disturbances form the complex external environment. So the CL accuracy will be reduced. To solve this problem, an improved Adaptive Active Cooperative Localization (A²CL) algorithm based on information optimization strategy for MMRS is proposed in this manuscript. In this manuscript, an adaptive information fusion algorithm based on the variance component estimation under Extended Kalman filter (VCEKF) method for MMRS is introduced firstly to enhance the robustness and accuracy of information fusion by estimating the covariance matrix of the system noise or observation noise in real time. Besides, to decrease the effect of observation uncertainty on CL accuracy further, an observation optimization strategy based on information theory, the Model Predictive Control (MPC) strategy, is used here to maximize the information amount from observations. And semi-physical simulation experiments were carried out to verity the A²CL algorithm's performance finally. Results proved that the presented A²CL algorithm based on information optimization strategy for MMRS cannot only enhance the CL accuracy effectively but also have good robustness.

• 대기
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• 제22권1호
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• pp.117-128
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• 2012

Does snow depth initialization have a quantitative impact on sub-seasonal to seasonal prediction skill? To answer this question, a snow depth initialization technique for seasonal forecast system has been implemented and the impact of the initialization on the seasonal forecast of surface air temperature during the wintertime is examined. Since the snow depth observation can not be directly used in the model simulation due to the large systematic bias and much smaller model variability, an anomaly rescaling method to the snow depth initialization is applied. Snow depth in the model is initialized by adding a rescaled snow depth observation anomaly to the model snow depth climatology. A suite of seasonal forecast is performed for each year in recent 12 years (1999-2010) with and without the snow depth initialization to evaluate the performance of the developed technique. The results show that the seasonal forecast of surface air temperature over East Asian region sensitively depends on the initial snow depth anomaly over the region. However, the sensitivity shows large differences for different timing of the initialization and forecast lead time. Especially, the snow depth anomaly initialized in the late winter (Mar. 1) is the most effective in modulating the surface air temperature anomaly after one month. The real predictability gained by the snow depth initialization is also examined from the comparison with observation. The gain of the real predictability is generally small except for the forecasting experiment in the early winter (Nov. 1), which shows some skillful forecasts. Implications of these results and future directions for further development are discussed.

• Corrosion Science and Technology
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• 제22권4호
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• pp.265-272
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• 2023

The aim of this study was to develop a new in-situ observation method and instrument in micro-scale to investigate the mechanism of stress corrosion cracking (SCC) initiation of Ni-base alloys in a high temperature water environment of pressurized water reactors (PWRs). A laser confocal microscope (LCM), an autoclave with diamond window view port, and a slow strain-rate tester with primary water circulation loop system were components of the instrument. Diamond window, one of the core components of the instrument, was selected based on its optical, chemical, and mechanical properties. LCM was used to observe the specimen in micro-scale, considering the experimental condition of a high-temperature primary water environment. Using in-situ method and instrument, it is possible to observe oxidation and deformation of specimen surface in micro-scale through the diamond window in a high-temperature primary water in real-time. The in-situ method and instrument developed in this work can be utilized to investigate effects of various factors on SCC initiation in a high-temperature water environment.

• The Journal of the Acoustical Society of Korea
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• 제21권4E호
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• pp.146-155
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• 2002

We present a new technique for achieving source separation when given only a single charmel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of time-domain basis functions that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single charmel data and sets of basis functions. For each time point we infer the source parameters and their contribution factors. This inference is possible due to the prior knowledge of the basis functions and the associated coefficient densities. A flexible model for density estimation allows accurate modeling of the observation, and our experimental results exhibit a high level of separation performance for simulated mixtures as well as real environment recordings employing mixtures of two different sources. We show separation results of two music signals as well as the separation of two voice signals.

• 한국음향학회지
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• 제21권4호
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• pp.146-146
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• 2002

We present a new technique for achieving source separation when given only a single channel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of time-domain basis functions that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single channel data and sets of basis functions. For each time point we infer the source parameters and their contribution factors. This inference is possible due to the prior knowledge of the basis functions and the associated coefficient densities. A flexible model for density estimation allows accurate modeling of the observation, and our experimental results exhibit a high level of separation performance for simulated mixtures as well as real environment recordings employing mixtures of two different sources. We show separation results of two music signals as well as the separation of two voice signals.

• 한국공작기계학회논문집
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• 제10권2호
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• pp.29-37
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• 2001

The application of laser in pipelines was started from the base of using laser in nuclear facilities industries and power plants. Because laser can be delivered to a remote area without any difficulties, the application of laser in many industries can solve many difficulties from limitation of access in danger area and reduced the risks of workers. Therefore, we developed a new experimental technique to measure internal defects of pressure vessels with a combination of shearog-raphy and image processing technique. Conventional NDT methods have been taken relatively much time, money and manpower because of performing as the method of contact with objects to be inspected. But digital shearography is laser-based optical method which allows full-field observation of surface displacement derivatives. This method has many advantages in practical use, such as low sensitivity to environmental noise, simple optical configuration and real time mea-surement. In this paper, we find the optimum shearing magnitude with EFM and experiment and measured internal crack length of the pressure vessels at a real time and estimated the error of the results.

• 상하수도학회지
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• 제38권2호
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• pp.109-117
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• 2024

In this study, various pre-treatment methods were evaluated for microalgae separation. These methods aimed to facilitate safe, rapid, and cost-effective online imaging for real-time observation and cell counting. As pre-treatment techniques, heating, chemical hydrolysis, heating combined with chemical hydrolysis, and sonication were employed. The effectiveness of these methods was evaluated in the context of online imaging quality through experimentation on cultivated microalgae (Chlorella vulgaris and Scenedesmus quadricauda). The chemical treatment method was found to be inappropriate for improving image acquisition. The heating pre-treatment method exhibited a drawback of prolonged cell dispersion time. Additionally, the heating combined with chemical hydrolysis method was confirmed to have the lowest dispersion effect for Chlorella vulgaris. Conversely, ultrasonication emerged as a promising technique for microalgae separation in terms of repeatability and reproducibility. This study suggests the potential for selecting optimal pre-treatment methods to effectively operate real-time online monitoring devices, paving the way for future research and applications in microalgae cultivation and imaging.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.896-898
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• 2012

최근 여러 나라들이 해양산업 개발에 관심을 가지면서 다양한 기술들이 개발되고 발전하고 있다. 이중 해양 환경에서 사용하는 무선 통신은 그 연구의 역사가 오래되었으며, 지금도 발전하고 있는 분야이다. 해양에서 무선을 이용한 환경 관측은 다양한 전파 매체를 통해 데이터 전송을 한다. 기술의 발달함에 따라 데이터 전송에서 문제점인 전원의 제한, 거리의 제한, 해수에 의한 부식, 수밀 등의 부분의 해양관측의 제약 요소 등에 관해서도 많은 발전을 거듭하였다. 이와 함께 점점 더 다양화되는 요구 데이터들과 실시간 관측 및 데이터 전송 면에서는 육상과 같이 다양한 통신방식과의 연계가 미흡한 실정이다. 이에 따라 본 논문에서는 연안환경, 어장 환경 등에서 활용 가능한 RF 통신을 이용한 Ad-Hoc Network를 구축하고 영상매체를 통한 실시간 관측과 센서를 이용한 환경 변화에 대한 데이터 수집을 통하여 효율적으로 관리할 수 있는 무선 관리 시스템을 구축하고자 한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2014년도 춘계학술대회
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• pp.81-83
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• 2014

최근 불규칙한 해양기상변화로 인하여 항해하는 선박들은 해양 기상환경에 대한 대비책이 절실한 상황이다. 해양 기상 모니터링시스템은 이러한 해양 기상환경에 대한 정보를 수집하여 주변 연안을 항행하는 선박에게 실시간 제공하므로서 해양교통 안전을 확보하기 위한 시스템이다. 오래전부터 해양 선진국에서는 항로표지시설 등에 해양기상관측센서를 설치하여 해양 기상모니터링 시스템을 구축 운용 하고 있으며, 선박의 안전항해에 많은 도움을 주고 있다. 더욱 발전된 해양기상모니터링 시스템을 위하여 국내외 현황을 분석하고 연구하므로서 선박의 안전항행과 해양사고를 예방하고, 최적의 해양기상모니터링 시스템을 위한 향후 발전방안에 대해서 논의하고자 한다.

• 한국콘텐츠학회논문지
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• 제13권10호
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• pp.574-583
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• 2013

각 지자체가 관리하고 있는 해안지역은 지형적, 문화적, 경제적으로 큰 영향을 미치는 공간으로 변모하고 있다. 이러한 해안 공간에 대하여 최근 들어 공학적 측면과 경제적, 문화적 측면이 융합된 새로운 형태의 연구들이 많이 진행되고 있는 실정이다. 본 연구는 울산 동구에 위치한 일산지 해안에 대한 해안선 변화에 대하여 다중관측 정보를 이용하여 분석하였다. 해안선 분석을 위하여 VRS-RTK(Virtual Reference System by Real-Time Kinematic) 측량, 항공사진, 지상라이다 측량, 그리고 고정기준점에 의한 측량을 실시하였으며, 특히 고정기준점 설치를 통한 해안선 관측과 분석방법을 제시하였다. 다중관측정보를 분석한 결과 일산지의 경우 해안선의 중하단 부분은 침식현상(6~12m)이 나타나고 있으며, 상단부분은 퇴적현상(3~14m)이 나타남을 알 수 있었다.