• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.1
• /
• pp.195-201
• /
• 2014

In this study, face recognition system was designed based on polynomial Radial Basis Function Neural Networks(pRBFNNs) pattern classifier using 2-directional 2-dimensional principal component analysis algorithm. Existing one dimensional PCA leads to the reduction of dimension of image expressed by the multiplication of rows and columns. However $(2D)^2PCA$(2-Directional 2-Dimensional Principal Components Analysis) is conducted to reduce dimension to each row and column of image. and then the proposed intelligent pattern classifier evaluates performance using reduced images. The proposed pRBFNNs consist of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with the aid of fuzzy c-means clustering. In the conclusion part of rules. the connection weight of RBFNNs is represented as the linear type of polynomial. The essential design parameters (including the number of inputs and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. Using Yale and AT&T dataset widely used in face recognition, the recognition rate is obtained and evaluated. Additionally IC&CI Lab dataset is experimented with for performance evaluation.

• Journal of the Institute of Electronics Engineers of Korea TE
• /
• v.42 no.3
• /
• pp.31-38
• /
• 2005

This paper proposes an implementation method of intelligent characters that can properly adapt to action patterns of opponent characters in fighting games by using genetic algorithm. For this intelligent characters, past actions patterns of opponent characters should be included in the learning process. To verify the effectiveness of the proposed method, two types of experiments are performed and their results are compared. In first experiment(exp-1), intelligent characters consider current action and its step of an opponent character. In second experiment (exp-2), on the other hands, they take past actions of an opponent characters into account additionally. As a performance index, the ratio of score obtained by an intelligent character to that of an opponent character is adopted. Experimental results shows that even if the performance index of exp-1 is better than that of exp-2 at the beginning of stages, but the performance index of exp-2 outperforms that of exp-1 as stages go on. Moreover, optimum solutions are always found in all experimental cases in exp-2. Futhermore, intelligent characters in exp-2 could learn moving actions (forward and backward) and waiting actions for getting more scores through self evolution.

• The Journal of the Petrological Society of Korea
• /
• v.18 no.1
• /
• pp.1-17
• /
• 2009

This article carried studies of the petrographical and petrochemical characteristics on the Cretaceous volcanic rocks in the area of Janggun peak and Gyemyeong peak which is located at the northeastern area of Mt. Geumjeong, Busan. The areas are composed of andesitic rock, sedimentary rock, rhyolitic rock, and intrusive hornblende, biotite granites, in ascending order. According to petrochemistry, the major elements show the calc-alkaline rock series ranged medium-K to high-K. With increasing $SiO_2$, $Al_{2}O_{3}$, $Fe_{2}O_{3}$, $TiO_2$ CaO, MgO MnO and $P_{2}O_{5}$ are decreased and $K_{2}O$ and $Na_{2}O$ are increased in the volcanic rocks. The trace element compositions show high LILE/HFSE ratios and negative anomaly of Nb, and REE patterns show enrichments in LREE and (-) anomaly values increase of Eu from the basaltic andesite to andesite facies, therefore the volcanic rocks have typical characteristics of continental margin arc calc-alkaline volcanic rocks, produced in the subduction environment. The volcanic rock show nearly the same patterns in spider and REE diagram. Fractional crystallization of the basaltic magma would have produced the calc-alkaline andesitic magma. And the rhyolitic magma seems to have been evolved from the basaltic andesitic magma with fractional crystallization of plagioclase, pyroxene, hornblende, biotite.

• Journal of Life Science
• /
• v.18 no.12
• /
• pp.1733-1738
• /
• 2008

SLC6A18, one of the neurotransmitters, was reported the possible relationship to hypertension, and it contained eight blocks of minisatellites. In this study, SLC6A18-MS5 sequence which showed the highest heterozygosity among seven minisatellites was analyzed using the Transfac software, the putative binding sites for the transcription factor Pax4 and HNF4 were discovered as a result. The HNF4 is involved in the diabetes pathway and suggested the relationship to hypertension. Thus, we investigated the putative functional significance of allelic variation in this minisatellites with respect to susceptibility for hypertension. To address this possibility, we analyzed genomic DNA from the blood of 301 hypertension-free controls and 184 cases with hypertension. A statistically significant association was not identified between the allelic distribution of SLC6A18-MS5 and occurrence of hypertension. We then examined the meiotic segregation of SLC6A18-MS5 and it was transmitted following Mendelian inheritance. Therefore, this locus could be useful markers for paternity mapping and DNA fingerprinting. Moreover, we undertook a comprehensive analysis of the genomic sequence to address the evolutionary events of these variable repeats. SLC6A18 minisatellites regions are only conserved in human and primates. This result suggestedthat intronic minisatellites analysis is powerful evolution marker for the non-coding regions in primates and can provide a great insight to the molecular evolution of repeated region in primates.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.1342-1350
• /
• 2009

In accordance with the development of broadcasting, the style of using medium by users has been personalized in the propensity to consume. Recent advent of media convergence allowed users of medium to decide the received environment for their needs, thereby the position of users has become more important in the medium consumption. IPTV has the most advanced form of personalized information media. However, IPTV was made by media convergence, which has relation with a variety of interested parties, so there are a few troubles among them in the way of commercializing IPTV. As a matter of fact, although users play a leading role in the IPTV industry, there are still few discussions on the welfare of users. IPTV should be remained the characteristic of the medium of personalized information, and it should include the welfare of users in various fields of media convergence. That is Universal Service. It is necessary to be guaranteed the access right and the variety of contents in using IPTV. Moreover, in terms of telecommunication, IPTV should insure the reasonable fare system as a pay-services. On the basis of the analysis in local and international IPTV circumstances, in terms of content as a medium of personalized information, in terms of fares as a pay-services, and in terms of digital literacy as a new medium of digital access, policies for welfare of users are suggested.

• Journal of Technology Innovation
• /
• v.25 no.3
• /
• pp.115-154
• /
• 2017

This article offers a review of the major literature about sectoral innovation studies of Korea and its implications over the past 30 years. The literature on the sectoral innovation studies in Korea has focused on analysing successful technological catch-up from an evolutionary perspective and most of research has centered on the issues about entry strategies, learning mechanisms. Recently "Emerging economies" like Korea in the 2000s face major challenges as they make a transition from (a) a phase of economic development characterised by 'catching up' with the global technological frontier, involving technological "imitation", to (b) a phase of continuing development based on the development of new knowledge for globally leading (post catch-up) product and process innovation. This paper reviews those bodies of literature of patterns of sectoral innovation, technological capability accumulation and catch-up process, catch-up innovation and institutions, and patterns of growth dynamics. Finally, given the importance of sectoral innovation studies, we suggest that industrial upgrading, transition towards leadership, dark side of catch-up issues are needed for future research directions.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.1
• /
• pp.1-6
• /
• 2014

In this study, we propose optimized RBFNNs based on night vision face recognition simulator with the aid of $(2D)^2$ PCA algorithm. It is difficult to obtain the night image for performing face recognition due to low brightness in case of image acquired through CCD camera at night. For this reason, a night vision camera is used to get images at night. Ada-Boost algorithm is also used for the detection of face images on both face and non-face image area. And the minimization of distortion phenomenon of the images is carried out by using the histogram equalization. These high-dimensional images are reduced to low-dimensional images by using $(2D)^2$ PCA algorithm. Face recognition is performed through polynomial-based RBFNNs classifier, and the essential design parameters of the classifiers are optimized by means of Differential Evolution(DE). The performance evaluation of the optimized RBFNNs based on $(2D)^2$ PCA is carried out with the aid of night vision face recognition system and IC&CI Lab data.

• Journal of Korean Society of Forest Science
• /
• v.90 no.6
• /
• pp.781-787
• /
• 2001

The spread rate of forest fire was analyzed on Samcheok forest fire that broke out on April 7, 2000 in Kunduck-Myun, Samcheok-City, Kangwon-Province and lasted for about 9 days. The spatial database including topography, overstory species distribution, micro-climate, daily fire front lines for the area was built using GIS and the daily spread pattern was investigated to determine a multiple regression equation to estimate forest fire spread rate. The results of the investigation showed that, on the first day, the forest fire spreaded out extremely fast up to 12.3m/min at about 10 a.m. until noon. After that, the forest fire spread rate fluctuated and slowed down as low as below 1m/min and quenched on April 15. The daily area-based spread rate along the fire spread line got to the peak of about 5,700ha on April 11, of which spread rates were recorded as 2.84m/min in the first half and 1.10m/min in the second half. Also, it was found that slope aspect, wind velocity and % area distribution of Pinus densiflora are the major factors affecting the spread rate of forest fire in this area.

• The Journal of Engineering Geology
• /
• v.31 no.1
• /
• pp.1-17
• /
• 2021

It is important to evaluate the fracture network in a rock volume because fractures control the ground conditions and fluid flow characteristics. Therefore, various attempts have been made to quantify fracture networks to better understand ground and flow conditions. The use of fracture density alone (a quantitative parameter based on geometric analysis) does not fully explain the evolution of fracture networks, or quantify the spatial relationship (e.g. connectivity) of fractures in a rock mass. Therefore, the need for fracture network characterization based on topological analysis has recently emerged. In Korea however, the topological analysis of fracture networks within a rock mass has rarely been studied. As such, the definition of the topological analysis of fracture networks and the graph theory related to the topological analysis are briefly summarized in this study. We also introduce an application method for these analyses to fracture characterization. If the topological method is used for the analysis of fracture networks, it can also be adopted to analyze fluid flow characteristics of groundwater, characterize petroleum reservoirs, and analyze the evolution of a fracture network. In addition, topological analysis can be useful for site selection of major facilities such as nuclear waste disposal sites because it can be used to evaluate the stability of the potential sites.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.522-526
• /
• 2007

Since newly emerged disease, the Severe Acute Respiratory Syndrome (SARS), spread from Asia to North America and Europe rapidly in 2003, many researchers have tried to determine where the virus came from. In the phylogenetic point of view, SARS virus has been known to be one of the genus Coronavirus, but, the overall conservation of SARS virus sequence was not highly similar to that of known coronaviruses. The natural reservoirs of SARS-CoV are not clearly determined, yet. In the present study, the genomic sequences of SARS-CoV were analyzed by bioinformatics techniques such as multiple sequence alignment and phylogenetic analysis methods as well multivariate statistical analysis. All the calculating processes, including calculations of the relative synonymous codon usage (RSCU) and other genomic parameters using 30,305 coding sequences from the two genera, Coronavirus, and Lentivirus, and one family, Orthomyxoviridae, were performed on SMP cluster in KISTI, Supercomputing Center. As a result, SARS_CoV showed very similar RSCU patterns with feline coronavirus on the both axes of the correspondence analysis, and this result showed more agreeable results with serological results for SARS_CoV than that of phylogenetic result itself. In addition, SARS_CoV, human immunodeficiency virus, and influenza A virus commonly showed the very low RSCU differences among each synonymous codon group, and this low RSCU bias might provide some advantages for them to be transmitted from other species into human beings more successfully. Large-scale genomic analysis using bioinformatics techniques may be useful in genetic epidemiology field effectively.