• JOURNAL OF ELECTRICAL WORLD
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• no.8 s.188
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• pp.55-63
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• 1992

• 전기산업
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• v.12 no.9
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• pp.44-59
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• 2001

• Journal of Korea Foresty Energy
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• v.20 no.1
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• pp.12-27
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• 2001

This study was carried out to investigate the vascular flora at Geonjisan, Jeonju, Jeollabuk-do and the findings are followings (1) The vascular plants identified and surveyed were 359 taxa(306 species, 49 varieties and 4 forms of 245 genera of 94 families) at the study sites. (2) There were 144 taxa (125 species, 15 varieties and 4 forms of 91 genera of 49 families) for the woody plants, while 215 taxa(181 species and 34 varieties of 157 genera of 54 families) were identified for the herbaceous plants. Twenty-nine taxa (28 species and 1 variety of 22 genera of 12 families) were investigated for the naturalized plants at the study sites. (3) Currently existing dominant vegetation forming the major trees layer at the study sites were Robinia pseudoacacia, Chamaecyparis pisifera, C. obutusa, Torreya nucifera, Castanea crenata and Acer buergerianum for the planted species, and naturally growing species forming the major trees layer were Quercus acutissima and Q- serrata.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.131-138
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• 2020

Malware is generally recognized as a computer program that penetrates another computer system and causes malicious behavior intended by the developer. In cyberspace, it is also used as a cyber weapon to attack adversary. The most important factor that a malware must have as a cyber weapon is that it must achieve its intended purpose before being detected by the other's detection system. It requires a lot of time and expertise to create a single malware to avoid the other's detection system. We propose the framework that automatically generates variant malware when a binary code type malware is input using the DCM technique. In this framework, the sample malware was automatically converted into variant malware, and it was confirmed that this variant malware was not detected in the signature-based malware detection system.

• Korean Journal of Environment and Ecology
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• v.18 no.4
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• pp.392-414
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• 2004

The flora of Sorok Island was investigated 8 times from January 2001 to November 2002. The vascular plants recorded as total 604 taxa, 13 forms, 65 varieties, 1 subspecies, 524 species, 397 genera, 128 families. The rare and endangered plants were recorded 1 taxa (Millettia japonica (Sieb. et Zucc.) A. Gray), 12 taxa (3 variety, 9 species, 10 genera, 10 families) as Korean endemic plants. The naturalized plants were 26 taxa, 1 variety, 25 species, 21 genera, 12 families, 4.30% and 9.15％ among the total naturalized plants and Urbanization Index in Korea. Visitor's numbers are expected to increase rapidly because nature views of Sorok Island are beautiful, which kind and number of naturalized plants are forecasted to be increased. Strong conservation policies should be considered.

• Korean Journal of Environment and Ecology
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• v.19 no.1
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• pp.31-45
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• 2005

This study was carried out to investigate the vascular plants of the construct-reserved sites of ecological forests in Deokdong-ri, Baekwoon-myeon, Jecheon-si, and Chungcheongbuk-do, Korea and the period was from March to October, 2004. The results of surveying the vascular plants were recorded as 371 taxa; 83 families, 238 genera, 324 species, 44 varieties and 3 forma. There were 4 species of rare and endangered plants as designated by Korea Forest Service; Eranthis stellata, Paeonia japonica, Viola albida and Scopolia japonica. There were 9 species of Koreanendemic plants Pseudostellaria coreana, Melandryum seoulense, Clematis trichotoma, Deutzia coreana, Spiraea prunifolia for. simpliciflora, Ajuga spectabilis, Weigela subsessilis, Cirsium setidens and Saussurea nutans. Ten species of naturalized plants were observed Panicum dichotomiflorum, Rumex crispus, Amaranthus retroflexus, Lepidium apetalum, Trifolium repens, Oenothera Jamayckiana, Erigeron annuus, Erigeron canadensis, Bidens frondosa and Taraxacum officinale. In the results of analysis by floristic region, the specific plants were summarized as 52 taxa; 30 families, 47 genera, 49 species and 3 varieties.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.727-730
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• 2016

TSC means classifying time series data based on pattern. Time series data is quite common data type and it has high potential in many fields, so data mining and machine learning have paid attention for long time. In traditional approach, distance and dictionary based methods are quite popular. but due to time scale and random noise problems, it has clear limitation. In this paper, we propose a novel approach to deal with these problems with CNN and data mutation. CNN is regarded as proven neural network model in image recognition, and could be applied to time series pattern recognition by extracting pattern. Data mutation is a way to generate mutated data with different methods to make CNN more robust and solid. The proposed method shows better performance than traditional approach.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2B
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• pp.130-142
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• 2009

In this paper, we propose a self-adaptation framework that selects a TCP variant adapted to current end-to-end path among available TCP variants. There is no single version of TCP that is suitable to all network environments since the causes for performance degradation are different one another according to characteristics of network environments. Thus, determining that which TCP variants should be selected in order to get best performance is very important. To enable adaptation through such determination, we integrate the existing network estimation schemes and some TCP variants into our framework then make light-weight performance knowledge database for TCP selection. Through implementing and evaluating the proposed framework we show that our solution can help TCP get high and stable performance on the various types of network environments by pure end-to-end.

• Korean Journal of Environment and Ecology
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• v.21 no.5
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• pp.415-431
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• 2007

The native vascular plants, growing at the nature sabbatical application area, were classified & recorded as a total of 407 taxa, 83 families, 235 genera, 338 species, 3 subspecies, 54 varieties and 12 forms. The endangered wild plants were recorded as 2 taxa (Paeonia obovata and Lilium cernuum) and the Korean endemic plants were observed to exist in the formation of 21 taxa, 13 families, 19 genera, 15 species, 4 varieties and 2 forms including Cephalotaxus koreana, Pseudostellaria coreana, Aconitum pseudo-laeve, Clematis trichotoma, Geranium koreanum for. hirsutum, Thalictrum uchiyamai. The floristic special plants consist of 55 taxa, 35 families, 50 genera, 51 species, 4 varieties(Crypsinus hastatus, Cimicifuga heracleifolia, Paeonia obovata, Lilium cernuum and Gastrodia elata etc.). The naturalized plants comprise 10 taxa, 4 families, 10 genera, 9 species and 1 variety. The ratio of Urbanization and Naturalized Index was 3.51% and 2.46%, respectively. Life form spectra were displayed as H-R5-D4-e type.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.99-107
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• 2018

In this paper, we study target tracking in two dimensional space using a Extended Kalman filter(EKF), various Extended Kalman Filter and Cost-Reference Particle Filter(CRPF), which can effectively estimate the state values of nonlinear measurement equation. We introduce various Extended Kalman Filter which the Unscented Kalman Filter(UKF), the Central Difference Kalman Filter(CDKF), the Square Root Unscented Kalman Filter(SR-UKF), and the Central Difference Kalman Filter(SR-CDKF). In this study, we calculate Mean Square Error(MSE) of each filters using Monte-Carlo simulation with unknown noise statistics. Simulation results show that among the various of Extended Kalman filter, Square Root Central Difference Kalman Filter has the best results in terms of speed and performance. And, the Cost-Reference Particle Filter has an advantageous feature that it does not need to know the noise distribution differently from Extended Kalman Filter, and the simulation result shows that the excellent in term of processing speed and accuracy.