• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.6
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• pp.539-544
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• 2013

In this paper, we was designed three-dimensional face recognition algorithm using polynomial based RBFNNs and proposed method to calculate the recognition performance. In case of two-dimensional face recognition, the recognition performance is reduced by the external environment like facial pose and lighting. In order to compensate for these shortcomings, we perform face recognition by obtaining three-dimensional images. obtain face image using three-dimension scanner before the face recognition and obtain the front facial form using pose-compensation. And the depth value of the face is extracting using Point Signature method. The extracted data as high-dimensional data may cause problems in accompany the training and recognition. so use dimension reduction data using PCA algorithm. accompany parameter optimization using optimization algorithm for effective training. Each recognition performance confirm using PSO, DE, GA algorithm.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.04a
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• pp.101-104
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• 2005

To understand the geologic and hydrogeochemical controls on the occurrence of high fluoride concentrations in bedrock groundwaters in South Korea, we examined a total of 367 hydrochemistry data obtained from deep groundwater wells (avg, depth = 600 m) that were drilled for exploitation of hot springs. The fluoride concentrations were generally very high (avg. 5.65 mg/L) and exceeded the Drinking Water Standard (1.5 mg/L) in 72% of the samples, A significant geologic control of fluoride concentrations was observed: the highest concentrations occur in the areas of granitoids and granitic gneiss, while the lowest concentrations in the areas of volcanic and sedimentary rocks. In relation to the hydrochemical facies, alkaline $Na-HCO_3$ type waters had remarkably higher F concentrations than circum-neutral to slightly alkaline $Ca-HCO_3$ type waters. The Prolonged water-rock interaction occurring during the deep circulation of groundwater in the areas of granitoids and granitic gneiss is considered most important for the generation of high F concentrations. Under such condition, fluoride-rich groundwaters are likely formed through hydrogeochemical processes consisting of the removal of Ca from groundwater via calcite precipitation and/or cation exchange and the successive dissolution of plagioclase and F-bearing hydroxyl minerals (esp. biotite). Thus, groundwaters with high pH and very high Na/Ca ratio within granitoids and granitic gneiss are likely most vulnerable to the water supply problem in relation to the enriched fluorine.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.32 no.2 s.57
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• pp.69-74
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• 2006

Selaginella tamariscina with the popular Korean name Keoun Back, is a traditional medicinal plant for therapy of advanced cancer patients in the Orient. In this study, we evaluated anti-aging activity of S. tamariscina using processed technology and investigated diverse biological activities of processed S. tamariscina (PST) as an anti-aging ingredient of cosmetics. PST, heated with sand, used to different purpose compared with origin in medicine. PST raises total phenol concentration and enhances the DPPH radical scavenging activity. For testing intracellular ROS scavenging activity, the cultured human dermal fibroblasts were analyzed by increase in dichlorofluorescein (DCF) fluorescence upon exposure to UVB $20 mJ/cm^2$ after treatment of PST. UVA-induced MMP-1 expression in human dermal fibroblasts was reduced in a dose-dependent manner by PST. Taken together, 4hese results suggest that PST may act as an anti-aging agent by preventing the skin cell from damage induced by UV irradiation, and imply that PST may be useful as a new ingredient for anti-aging cosmetics.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.15-23
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• 2020

Automated driving car is drawing attention as a seminal service representing 4th industrial revolution era based on 5G network, AI, IOT and sensor technology. automated driving car is expected to evolve into the final level which does not require driver's input. Drivers are able to consume new additional time in private space. Many industries started to compete to control these time and space. Media industry is expecting quite big change due to the introduction of automated driving cars. This research examines the impact of the media industry and social & institutional issues of automated driving cars based on depth interviews of experts. The introduction of automated driving cars is giving new opportunity for media industry as contents provider. Telcos and IT corporations are expected to compete each other to get the control of infotainment systems of automated driving cars. The reform of current regulations regarding car driving is pointed as important task to protect private information and the introduction of automated driving cars.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.2
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• pp.436-444
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• 2010

In this study, we introduce and discuss a concept of a granular-oriented radial basis function neural networks (GRBF NNs). In contrast to the typical architectures encountered in radial basis function neural networks(RBF NNs), our main objective is to develop a design strategy of GRBF NNs as follows : (a) The architecture of the network is fully reflective of the structure encountered in the training data which are granulated with the aid of clustering techniques. More specifically, the output space is granulated with use of K-Means clustering while the information granules in the multidimensional input space are formed by using a so-called context-based Fuzzy C-Means which takes into account the structure being already formed in the output space, (b) The innovative development facet of the network involves a dynamic reduction of dimensionality of the input space in which the information granules are formed in the subspace of the overall input space which is formed by selecting a suitable subset of input variables so that the this subspace retains the structure of the entire space. As this search is of combinatorial character, we use the technique of genetic optimization to determine the optimal input subspaces. A series of numeric studies exploiting some nonlinear process data and a dataset coming from the machine learning repository provide a detailed insight into the nature of the algorithm and its parameters as well as offer some comparative analysis.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.315-316
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• 2007

This paper presents a new methodology to improve movement database for a humanoid robot. The database is initially full of human motions so that the kinetics characteristics of human movement are immanent in it. then, the database is updated to the pseudo-optimal motions for the humanoid robot to perform more natural motions, which contain the kinetics characteristics of robot. for this, we use the evolutionary algorithm. the methodology consists of two processes : (1) the offline imitation learning of human movement and (2) the online generation of natural motion. The offline process improve the initial human motion database using the evolutionary algorithm and inverse dynamics-based optimization. The optimization procedure generate new motions using the movement primitive database, minimizing the joint torque. This learning process produces a new database that can endow the humanoid robot with natural motions, which requires minimal torques. In online process, using the linear combination of the motion primitive in this updated database, the humanoid robot can generate the natural motions in real time. The proposed framework gives a systematic methodology for a humanoid robot to learn natural motions from human motions considering dynamics of the robot. The experiment of catching a ball thrown by a man is performed to show the feasibility of the proposed framework.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.149-155
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• 2013

Recently, automobile traffic systems are evolving toward Intelligent Traffic Systems(ITS) with smart sensor technology and collaboration between traffic systems and external ones. On the contrary, Korean ITS services have little improvement comparing with other communication services. The main causes of this phenomenon are due to already allocation of ITS recommended frequency band to broadcasting services, and also dedication of DSRC frequency band over ISM band resulting in interferences. This paper provides the analysis of current Korean ITS technology status, and two suggestions to activate the ITS industry. First, need to fix the ITS standard combining WAVE and DSRC specifications soon. Second, ITS frequency allocation to complete its standard implementation in near time frame.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.13-19
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• 2016

In various ICBM (IoT, Bigdata, Cloud, Mobile) IT convergence environments, IT technologies have been evolved, new information security threats have been occurred. As information security incidents in major public agencies, financial institutions and companies occurred, it was emphasized that the importance of human security was disclosed. Thus, implementing of information security management system could protect hacks and security breaches and respond quickly to accidents so it minimized the sized of loss. In this paper, comparison of human security controls shown in ISO27001, COBIT, NIST 800-53, K-ISMS, Cyber Security Framework such as the main information security management systems was analyzed, and proposed of the security implications about effective controls of human resources security issues.

• Information and Communications Magazine
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• v.17 no.1
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• pp.58-63
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• 2000

새 천년을 맞이하여 국내 이동전화 시장은 규모와 기술적 측면에서 놀랄만한 변화 를 겪게 될 것이다. 음성중심의 2세대 이동전화 서비스는 보급율이 50%를 넘어서며 포화수 준에 근접하고 있으며, 앞으로 무선데이타 통화량이 크게 증가하여 3~4년 후에는 총 통화량 의 50% 이상을 점유할 것으로 예측된다. 통신사업자들은 통신망의 광대역화와 글로벌화, IP Network 화를 더욱 강력하게 추진하고 있으며, 올 연말로 예정된 IMT-2000 사업자 선정은 이러한 추세를 더욱 가속화시킬 것으로 전망된다. 특히, 인터넷과 이동전화의 융화는 인간의 삶과 문화를 한순간에 변모시킬 혁명적 위력을 내포하고 있다. 정보화 시대를 향한 정보통 신업계의 대변혁이 그 절정을 향해 가속도를 붙이기 시작한 것이다. 신세기통신은 이러한 변화와 혼돈의 거친 물결 속에서 21세기 '정보통신 업계의 강자'로 도약하기 위한 힘찬 항해 를 진행하고 있다. 2000년 상반기까지 IS-2000시스템을 구축하여 최대 144kbps 수준의 고속 데이타 서비스를 제공하는 한편 i-TOUCH 017 컨텐츠 (Contents)를 한층 다양화, 첨단화 하는 등 본격적인 이동인터넷 사업을 전개해 나갈 것이다. 또 CDMA 국제 자동로밍 서비스 를 일본, 미국, 유럽 등 전세계로 확대하여 017 서비스의 글로벌화를 이룩할 계획이다. 이러 한 통신망 진화와 이동 인터넷 사업의 상당 부분을 SK텔레콤과 함께 추진하게 될 것이며 이러한 양사간의 전략적 제휴에 따른 시너지 효과는 오는 연말 IMT-2000 사업권의 성공적 확보로 이어질 것으로 기대된다. 21세기 정보통신산업은 광대역 통신망으로 대변되는 하드 웨어와 인터넷 컨텐츠로 대변되는 소프트웨어가 서로 융화되는 방향으로 발전할 것이다. 이에 따라 고객의 서비스 만족도나 사업자 선택 기준은 기존 통화물질 중심에서, 사업자가 제공하는 컨텐츠의 다양성이나 편리성으로 변화하는 것이 국적을 바꾸는 것보다 어려운 시 대가 멀지 않은 미래에 도래할 것이다. 신세기 통신 과 SK 텔레콤에는 현재 1,300만명이 넘 는 고객이 있으며. 이들 고객은 어 이상 음성통화 중심의 이동전화 고객이 아니라 신세기 통신과 SK텔레콤이 함께 구축해 나갈 거대란 무선 네트워크 사회에서 정보화 시대를 살아 갈 회원들이다. '컨텐츠의 시대'가 개막되는 것이며, 신세기통신과 SK텔레콤은 선의의 경쟁 과 협력을 통해 이동인터넷 서비스의 컨텐츠를 개발해 나가게 될 것이다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.8
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• pp.561-570
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• 2004

In this paper, new architectures and comprehensive design methodologies of Genetic Algorithms(GAs) based Genetically optimized Neurofuzzy Networks(GoNFN) are introduced, and a series of numeric experiments are carried out. The proposed GoNFN is based on the rule-based Neurofuzzy Networks(NFN) with the extended structure of the premise and the consequence parts of fuzzy rules being formed within the networks. The premise part of the fuzzy rules are designed by using space partitioning in terms of fuzzy sets defined in individual variables. In the consequence part of the fuzzy rules, three different forms of the regression polynomials such as constant, linear and quadratic are taken into consideration. The structure and parameters of the proposed GoNFN are optimized by GAs. GAs being a global optimization technique determines optimal parameters in a vast search space. But it cannot effectively avoid a large amount of time-consuming iteration because GAs finds optimal parameters by using a given space. To alleviate the problems, the dynamic search-based GAs is introduced to lead to rapidly optimal convergence over a limited region or a boundary condition. In a nutshell, the objective of this study is to develop a general design methodology o GAs-based GoNFN modeling, come up a logic-based structure of such model and propose a comprehensive evolutionary development environment in which the optimization of the model can be efficiently carried out both at the structural as well as parametric level for overall optimization by utilizing the separate or consecutive tuning technology. To evaluate the performance of the proposed GoNFN, the models are experimented with the use of several representative numerical examples.