• 제어로봇시스템학회논문지
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• 제20권11호
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• pp.1136-1141
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• 2014

This paper proposes a new contact type ball tracking sensor to improve the control performance of a low cost ball-and-beam system. It is well-known that the impulsive measurement noise contained in ball position measurement is one of the factors which severely degrades the ball-and-beam control performance. The impulsive ball position measurement noises often appear under the sporadical ball floating on the beam. This fact motivates us to devise a simple analog preprocessing circuit to determine whether the ball loses the contact or not. Once the abnormal ball position measurement is detected, the design problem of the ball tracking sensor can be cast into the typical state estimation problem with missing data. In order to tackle the real-time implementation issue, a steady-state Kalman filter is applied to the problem. Through the experimental results, the usefulness of the proposed scheme is demonstrated.

• 산경연구논집
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• 제11권5호
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• pp.17-26
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• 2020

Purpose: Previous studies rarely investigated the effects of the metacognitive reading strategies on reading engagement, particularly in globalized higher education, while those studies examined reading problems and engagement with lower reading level. The purpose of this study is to investigate the effects of the metacognitive reading strategies including global reading, problem solving, and supporting reading on reading engagement that include argentic, behavior, emotional, and cognitive engagement in global learning environment. This study investigated research questions: how do global reading, problem solving, and supporting reading strategies affect argentic, behavior, emotional, and cognitive reading engagement? Research design, Data, and methodology: This study collected data via online survey in globalized learning environment. This study applied statistical analyses, such as factor and regression analyses and ANOVA. Results: The results of this study showed that metacognitive reading strategies had significant effects on student reading engagement while they were reading class materials in English for academic purposes. Conclusions: This study provides managerial implications in higher education by providing better strategies to enhance learning skills in global context. In particular, this study provides implications that the effects of problem solving and supporting strategies could be improved by adopting better management systems in globalized education.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.286-289
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• 2007

This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2002년도 추계공동학술대회
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• pp.479-484
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• 2002

본 논문에서는 첫째, 생물자원정보 데이터베이스는 3게 생물종 정보 구축과 종정보를 대상으로 구축되어지는 컨텐트(content) 정보로 나눠 XML(eXtensible Markup Language)을 기반으로 데이터베이스화하는 것이다. 둘째, 분류학자들에 의해 정의된 항목과 국제적인 GSD(Global Species Database) 구축의 메타데이터가 되는 항목들을 중심으로 정보가 구축되어야 하며, 효율적인 지역(Local) 정보의 데이터베이스화를 위하여 컴포넌트(Component) 기반의 입력시스템을 구축하여 제공. 셋째, 정보의 서비스 및 공동활용 체제를 구축하기 위하여 DADI((Data Access and Data Interoperability) 기반의 GRM(Global Road Map)을 구축의 3단계 과정을 통해 생물자원정보에 대한 데이터베이스를 구축하고 원활한 서비스체제 구축을 위한 연구를 수행하였다.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2011년도 춘계학술발표대회 논문집
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• pp.59-62
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• 2011

The Korea Institute of Energy Research(KIER) has begun collecting horizontal global insolation data since May, 1982 at 16 different locations in Korea and for the more detailed analysis, images taken by geostationary satellite may be used to estimate solar irradiance fluxes at earth I s surface. It is based on the empirical correlation between a satellite derived cloud index and the irradiance at the ground. From the results, the measured data has been collected at 16 different stations and estimated using satellite at 23 different stations over the South Korea from 1982 to 2000. The Result of analysis shows that the armual-average daily global radiation on the horizontal surface is $3.56kWh/m^2/day$ and Estimated solar radiation fluxes show reliable results for estimating the global radiation with average deviation of -7.27 to +3.65% from the measured values.

• 한국지구과학회지
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• 제28권5호
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• pp.545-555
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• 2007

Ocean general circulation model developed by GFDL on the basis of MOM4 of FMS are examined and evaluated in order to elucidate the global ocean status. The model employs a tripolar grid system to resolve the Arctic Ocean without polar filtering. The meridional resolution gradually increases from $1/3^{\circ}$ at the equator to $1^{\circ}$ at $30^{\circ}N(S)$. Other horizontal grids have the constant $1^{\circ}$ and vertical grids with 50 levels. The ocean is also coupled to the GFDL sea ice model. It considers tidal effects along with fresh water and chlorophyll concentration. This model is integrated for a 100 year duration with 96 cpu forced by German OMIP and CORE dataset. Levitus, WOA01 climatology, serial CTD observations, WOCE and Argo data are all used for model validation. General features of the world ocean circulation are well simulated except for the western boundary and coastal region where strong advection or fresh water flux are dominant. However, we can find that information concerning chlorophyll and sea ice, newly applied to MOM4 as surface boundary condition, can be used to reduce a model bias near the equatorial and North Pacific ocean.

• 한국정보처리학회논문지
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• 제4권3호
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• pp.792-801
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• 1997

본 논문에서는 전역 변형을 갖는 활성 곡면을 사용하여 잡음으로 오염된 데이터를 곡면으로 적합하는 알고리즘을 제안하였다. 이것은 2차원 곡선 모델에서 이전에 연구 [11,12]된 알고리즘의 3차원 곡면으로의 확정이다. 제안된 방법에서는 유한 차분을 사용하며, 각 노드점에서 주위의 외부힘을 사용하여 부분적으로 수축 또는 팽챙을 허용하는 balloon 모델[2,3]에 기반으로 진행하는 동안 곡면의 모양을 전역 변형 후의 곡면으로의 전역 변환이 결정적 최소 자승법에 의하여 계산되고, 마지막으로 전역 변환을 변형 전의 곡면에 적용한다. 실험에서 아핀변형을 갖는 활성 곡면을 사용하여 잡음으로 오염된 데이터를 곡면(타원체, B스플라인)으로 적합하였다.

• ETRI Journal
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• 제36권6호
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• pp.913-923
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• 2014

This paper proposes a global mapping algorithm for multiple robots from an omnidirectional-vision simultaneous localization and mapping (SLAM) approach based on an object extraction method using Lucas-Kanade optical flow motion detection and images obtained through fisheye lenses mounted on robots. The multi-robot mapping algorithm draws a global map by using map data obtained from all of the individual robots. Global mapping takes a long time to process because it exchanges map data from individual robots while searching all areas. An omnidirectional image sensor has many advantages for object detection and mapping because it can measure all information around a robot simultaneously. The process calculations of the correction algorithm are improved over existing methods by correcting only the object's feature points. The proposed algorithm has two steps: first, a local map is created based on an omnidirectional-vision SLAM approach for individual robots. Second, a global map is generated by merging individual maps from multiple robots. The reliability of the proposed mapping algorithm is verified through a comparison of maps based on the proposed algorithm and real maps.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1913-1934
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• 2022

The emergence of technologies like Big data analytics, Industrial Internet of Things, Internet of Things, and applicability of these technologies in various domains leads to increased demand in the underlying execution environment. The demand may be for compute, storage, and network resources. These demands cannot be effectively catered by the conventional cloud environment, which requires an integrated environment. The task of finding an appropriate service provider is tedious for a service consumer as the number of service providers drastically increases and the services provided are heterogeneous in the specification. A service broker is essential to find the service provider for varying service consumer requests. Also, the service broker should be smart enough to make the service providers best fit for consumer requests, ensuring that both service consumer and provider are mutually beneficial. A service broker in an integrated environment named Global Manager is proposed in the paper, which can find an appropriate service provider for every varying service consumer request. The proposed Global Manager is capable of identification of parameters for service negotiation with the service providers thereby making the providers the best fit to the maximum possible extent for every consumer request. The paper describes the architecture of the proposed Global Manager, workflow through the proposed algorithms followed by the pilot implementation with sample datasets retrieved from literature and synthetic data. The experimental results are presented with a few of the future work to be carried out to make the Manager more sustainable and serviceable.

• 한국멀티미디어학회논문지
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• 제24권11호
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• pp.1518-1525
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• 2021

Due to the growth of VR industry and rise of digital twin industry, the importance of implementing 3D data same as real space is increasing. However, the fact that it requires expertise personnel and huge amount of time is a problem. In this paper, we propose a system that generates point cloud data with same shape and color as a real space, just by scanning the space. The proposed system integrates 3D geometric information from lidar and color information from stereo camera into one point cloud. Since the number of 3D points generated by lidar is not enough to express a real space with good quality, some of the pixels of 2D image generated by camera are mapped to the correct 3D coordinate to increase the number of points. Additionally, to minimize the capacity, overlapping points are filtered out so that only one point exists in the same 3D coordinates. Finally, 6DoF pose information generated from lidar point cloud is replaced with the one generated from camera image to position the points to a more accurate place. Experimental results show that the proposed system easily and quickly generates point clouds very similar to the scanned space.