• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.359-365
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• 2011

This study aims at filtering ALS points into ground and non-ground effectively through labeling and window based algorithm by utilizing 2D adjacency based on scan line. Firstly, points adjacency is constructed through minimal search based on scan line. Connected component labeling algorithm is applied to classify raw ALS points into ground and non-ground by utilizing the adjacency structure. Then, some small objects are removed by morphology filtering, and isolated ground points are restored by IDW estimation. The experimental results shows that the method provides good filtering performance( about 97% accuracy) for diverse sites, and the overall processing takes less time than converting raw data into TIN or raster grid.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.66.2-66.2
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• 2010

미니탭(Minitab) 프로그램에 있는 실험계획법(Design of experiment)를 이용하여 박막실리콘 I-layer의 주효과 및 교호작용에 대한 연구를 실시하였다. I-layer의 주요 특성은 증착속도 및 전도도에 대하여 분석을 하였으며, 최종적으로 선택된 증착조건을 사용하여 비정질 실리콘 태양전지를 제조하여 확인 하였다. 실험설계는 2수준 5인자 완전설계요인법을 사용하였다. 분석결과 단막의 증착속도에 영향을 주는 주효과로는 Power와 E/S거리고 나타났으며, Power와 E/S거리, Power와 Pressure에서 큰 교호작용이 일어남을 확인 할 수 있었다. 암전도의 영향을 주는 주효과는 Sub. Temp.를 제외하고는 모두 영향을 주고 있었으며, 상당히 복잡한 교호작용을 이루고 있어 정확한 분석을 할 수는 없었다. 광전도도의 경우도 주효과에서 SiH4 flow rate를 제외하고는 모두 영향을 주고 있었으며, 복잡한 교호작용으로 정확한 분석이 어려웠다. 따라서 P-value를 분석하여 최종 R-제곱값이 증착속도는 97%이상의 높은 값을 얻었으나 전도도의 경우 최대차수 3차항으로 70~80%정도의 낮은 값을 얻었을 수 있었다. 낮은 값을 얻은 이유로는 실험설계시 몇몇 조건이 불안정한 plasma 상태로 인하여 전도도의 측정 편차가 커 분석오차가 높았을 것으로 추정된다. 암전도를 망소특성, 광전도도를 망대특성으로 광민감도 $10^5$으로 최적화 하여 비정질 태양전지를 만들어 평가한 결과 약 9%대의 광변환 효율을 얻을 수 있었으나 만족도 40%대의 낮은 값으로 향후 이와 관련한 더 정밀한 측정 및 분석이 요구된다.

• Journal of the Korean Geographical Society
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• v.47 no.5
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• pp.641-653
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• 2012

We analyzed two radiocarbon-dated lagoonal sediment cores from Cheonjinho and Ssangho using various biogeochemical methods. As a result, the start times of rice agriculture are estimated to be AD 780 for Cheonjinho and 100 BC for Ssangho. There is a large temporal difference in the beginning of rice agriculture between two study sites even though they are closely located on the coast. This result indicates that pollen records are not sufficient to approximate the start time of rice agriculture accurately. A temporal lag seems to exist between the time when rice agriculture was first introduced and the time when full-scale rice agriculture began in the Yeongdong region, probably because of low agricultural productivity. In both study sites, rice agriculture intensified and slope erosion increased 250 years after full-scale agriculture began. This suggests that intensified rice agriculture resulted in an increased number of inhabitants, settlement expansion to hilly areas, and the consequent deforestation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.10-23
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• 2016

With requiring circumspections using big data, this study attempts to develop and apply the search method for audit issues relating to the ITS policy or program. For the foregoing, the auditing process of the board of audit and inspection was converged with the theoretical frame of boundary analysis proposed by William Dunn as an analysis tool for audit issues. Moreover, we apply the text mining technique in order to computerize the analysis tool, which is similar to the boundary analysis in the concept of approaching meta-problems. For the text mining analysis, specific model we applied the antisymmetry-symmetry compound lexeme-based LDA model based on the Latent Dirichlet Allocation(LDA) methodologies proposed by David Blei. The several prime issues were founded through a case analysis as follows: lack of collection of traffic information by the urban traffic information system, which is operated by the National Police Agency, the overlapping problems between the Ministry of Land, Infrastructure and Transport and the Advanced Traffic Management System and fabrication of the mileage on digital tachograph.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.89-96
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• 2016

In this paper, we study mobile data collector (MDC) based data-gathering schemes in wireless sensor networks. In Such networks, MDCs are used to collect data from the environment and transfer them to the sink. The majority of existing data-gathering schemes suffer from high data-gathering latency because they use only a single MDC. Although some schemes use multiple MDCs, they focus on maximizing network lifetime rather than minimizing packet delay. In order to address the limitations of existing schemes, this paper focuses on minimizing packet delay for given number of MDCs and minimizing the number of MDCs for a given delay bound of packets. To achieve the minimum packet delay and minimum number of MDCs, two optimization problems are formulated, and traveling distance and traveling time of MDCs are estimated. The interior-point algorithm is used to obtain the optimal solution for each optimization problem. Numerical results and analysis are presented to validate the proposed method.

• Journal of KIISE
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• v.43 no.12
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• pp.1396-1403
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• 2016

In streaming data analysis where underlying data distribution may be changed or the concept of interest can drift with the progress of time, the ability to adapt to concept drift can be very powerful especially in the process of incremental learning. In this paper, we develop a general framework for an adaptive incremental classifier on data stream with concept drift. A distribution, representing the performance pattern of a classifier, is constructed by utilizing the distance between the confidence score of a classifier and a class indicator vector. A hypothesis test is then performed for concept drift detection. Based on the estimated p-value, the weight of outdated data is set automatically in updating the classifier. We apply our proposed method for two types of linear discriminant classifiers. The experimental results on streaming data with concept drift demonstrate that the proposed adaptive incremental learning method improves the prediction accuracy of an incremental classifier highly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.6C
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• pp.642-648
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• 2009

In this paper, we use SA (Seysen's Algorithm) instead of LLL (Lenstra-Lenstra-Lovasz) to perform LRA (Lattice Reduction-Aided) detection. By using SA, the complexity of lattice reduction is reduced and the detection performance is improved Although the performance is improved using SA, there still exists a gap in the performance between SA-LRA and ML detection. To reduce the performance difference, we apply list of candidates scheme to SA-LRA. The list of candidates scheme finds a list of candidates. Then, the candidate with the smallest squared Euclidean distance is considered as the estimate of the transmitted signal. Simulation results show that the SA-LRA detection learn to quasi-ML performance. Moreover, the efficiency of the SA is shown to highly improve the channel matrix conditionality.

• The Korean Journal of Ecology
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• v.23 no.3
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• pp.255-266
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• 2000

생물권보전지역으로 지정된 점봉산의 온대낙엽수림(참나무 성숙림)에서 임상초본식물의 공간분포를 정량화하고, 이들의 공간분포에 미치는 미소환경요인의 영향을 파악하였다. 대부분의 임상초본식물들은 영구 방형구내 미소지소간에 큰 변이를 나타내었다. 초봄에 출현하는 임상초본식물중 공간의존도가 높은 식물은 현호색, 애기나리 및 노랑제비꽃이었고, 가을에 출현하는 임상초본식물중 공간의존도가 높은 식물은 벌깨덩굴, 쌀새 및 도라지모시대이었다. 초봄에 출현하는 홀아비바람꽃과 얼레지 그리고 가을에 출현하는 도라지모시대와 쌀새의 공간의존거리가 상대적으로 짧은 편이었다. 초봄에 출현하는 노랑제비꽃, 애기나리 및 얼레지는 관목이 적고, 낙엽층이 얇으며,토심이 깊고, 토양수분함량, 유기물함량 및 염기성양이온함량이 상대적으로 적은 생육지를 선호하였고, 애기앉은부채 와 현호색은 관목이 밀집하고, 낙엽층이 두꺼우며, 토심이 얇고, 유기물함량, 토양수분함량 및 영양염류함량이 높은 생육지를 선호하였다. 오리방풀은 빛조건이 좋고, 낙엽층이 두꺼우며, 토양수분함량과 영양염류가 풍부한 생육지를 선호하였고, 단풍취, 대사초, 개별꽃, 참취, 쌀새 및 도라지모시대는 토심이 깊고, 낙엽층이 얇으며, 토양수분함량과 영양염류함량이 상대적으로 적은 생육지를 선호하였다. 본 참나무 성숙림에서 토양수분함량, 유기물함량 및 영양염류함량은 바람, 미소지형 및 관목의 밀집정도에 의해 공간적으로 재배치되는 낙엽층 두께에 의해 영향을 받고 있기 때문에 초봄과 가을에 관찰되는 임상초본식물의 공간분포는 낙엽층의 불균등한 분포에 의해 가장 큰 영향을 받고 있는 것으로 추정되었다.

• Journal of Advanced Marine Engineering and Technology
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• v.41 no.1
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• pp.111-117
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• 2017

The arrival time of rescue ships is very important in the event of distress. This paper presents the development of experimental data to calculate the arrival time of rescue ships. The ship's traffic probability distribution was used. Mokpo Port was selected as the area of study, and AIS data for a 1 year period were used. For the ship's traffic probability distribution, a gateline was established. The lateral range distribution was calculated and fitted to the normal distribution and two Gaussian mixture distributions (GMD2), and each parameter was extracted. After the locations of ${\mu}$, ${\mu}{\pm}1{\sigma}$ of the normal distribution and ${\mu}_1$ of the two Gaussian mixture distribution(GMD2) were set as waypoints, the location and probability were determined. A scenario was established in relation to each type of parameter. Thus, the arrival time can be calculated.

• Korean Journal of Environmental Biology
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• v.22 no.2
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• pp.295-299
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• 2004

The lacertid lizard Takydromus wolteri widely distributed in South Korea, but intraspecific diversity of this species was not almost studied. T. wolteri represented by 8 specimens collected from 5 localities were analyzed by the Randomly Amplified Polymorphic DNA (RAPD) method with 28 random decamer primers and the phenogram constructed by using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) method based on RAPD data. The populations of T. wolteri using in this paper were collected from Gyeonggi-do, Chungcheongbuk-do, Jeju-do, Jeollanam-do and Gyeongsangnam -do in South Korea. Among 68 different bands detected in RAPD analysis, 59 bands (87％) showed polymorphism. The phenogram showed that the populations of T. wolteri were grouped into two. These results suggest that T. wolteri were supported intraspecific diversity.