• Journal of Mechanical Science and Technology
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• v.15 no.8
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• pp.1132-1142
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• 2001

The paper describes the construction of global function approximation models for use in design optimization via global search techniques such as genetic algorithms. Two different approximation methods referred to as evolutionary fuzzy modeling (EFM) and neuro-fuzzy modeling (NFM) are implemented in the context of global approximate optimization. EFM and NFM are based on soft computing paradigms utilizing fuzzy systems, neural networks and evolutionary computing techniques. Such approximation methods may have their promising characteristics in a case where the training data is not sufficiently provided or uncertain information may be included in design process. Fuzzy inference system is the central system for of identifying the input/output relationship in both methods. The paper introduces the general procedures including fuzzy rule generation, membership function selection and inference process for EFM and NFM, and presents their generalization capabilities in terms of a number of fuzzy rules and training data with application to a three-bar truss optimization.

• Annual Conference of KIPS
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• 2005.05a
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• pp.451-454
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• 2005

본 논문에서는 수정된 CNN(Convolutional Neural Network) 모델과 다중 필터가 상호 결합된 형태의 얼굴 패턴 검출 기법을 소개 한다. 이는 로봇 시각의 응용문제에서 실내영상의 실시간 인식문제를 대상으로 한다. 검출 과정의 효율성 향상을 위하여 도입된 다중 필터는 후보 영역의 개수와 범위를 줄일 수 있게 한다. 제안된 모델에서 CNN 신경망은 가보변환(Gabor Transform)계층을 두어 검출 과정의 첫 단계에서 영상 내의 기본 특징 지도를 생성 하도록 하였다. 보다 강인한 검출기능을 위하여 조명보정 기법이 시스템의 전처리 단계로 구현 된다. 실제 영상을 통한 실험 결과로부터 제안된 이론의 타당성을 고찰 한다.

• Annual Conference of KIPS
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• 2017.11a
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• pp.768-769
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• 2017

본 연구에서는 시계열예측 신경망기법에서 특징 선별기법을 적용하여 학습의 효율을 높이고 성능을 개선하는 방법론을 고찰한다. 순환구조 신경망을 사용하여 시계열 예측기를 구현하였으며, 효과적인 특징을 선별하기 위하여 FMM 신경망을 사용하여 특징의 연관도 요소를 산출하는 방법을 제시하였다. 모바일 결제시스템에서 실제 측정된 데이터를 사용하여 사용빈도 예측실험을 수행하였으며 그 결과를 통하여 제안된 기법의 유용성을 고찰하였다.

• Annual Conference of KIPS
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• 2006.11a
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• pp.43-46
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• 2006

본 논문에서는 호프변환을 이용한 실시간 수신호 인식시스템에서 대상영역 분할의 오차와 추출된 특징의 위치 변화등의 영향을 개선하는 방법론을 제안한다. 원형호프변환을 기반으로 생성한 특징정보로부터 CNN(Convolution Neural Network) 모델의 계층적 구조를 통하여 단계적으로 일련의 특징지도가 추출된다. CNN 모델에서 샘플링 계층의 연결구조는 특징의 위치 변화에 강인한 추출기능을 지원하며, 상위계층에서 보다 함축적인 특징지도를 생성하게 된다. 원형 호프 변환은 손의 형태학적 주요 포인트를 효과적으로 추출할 수 있게 하고 또한 입력 영상의 회전으로 인한 제약을 극복할 수 있게 한다. 본 연구에서는 제안된 이론을 TV 원격 제어를 위한 수신호 인터페이스 시스템을 대상으로 적용함으로써 그 유용성을 고찰한다.

• Journal of Contemporary Eastern Asia
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• v.21 no.1
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• pp.1-32
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• 2022

Through the Global Korea Scholarship (GKS) program, the government of the Republic of Korea annually invites over a thousand international students to learn the Korean language and obtain a higher education degree from Korean universities. One of the program's goals is positioned within the public diplomacy framework. Korea seeks to cultivate Korea-friendly networks and transform GKS students and alumni into ambassadors to contribute to Korea's promotion abroad. However, there is no clarity on whether this mechanism works as expected. This study examines GKS students' relationship-building experiences with South Koreans during and after the exchange program. Analysis of twenty in-depth interviews with the program's alumni reveals both what facilitates and what obstructs personal and professional relationship-building between scholarship recipients and South Koreans at different stages (language year and degree years) of the program and after graduation. The paper concludes with practical recommendations for universities, GKS administrators, and the South Korean government regarding their policies for scholarship holders.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.688-696
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• 2010

The Proxy Mobile IPv6 (PMIPv6) is a network localized mobility management protocol that is independent of global mobility management protocols. In a single mobility domain (LMD), the mobile node (MN) is not involved in any IP mobility-related signaling and uses only its PMIPv6 home address for all its communication. Subsequently, when the MN moves into another LMD, the MN must change its PMIPv6 home address. In such a circumstance, host-based mobility signaling is activated. Thus, the nature of the network-based mobility of the PMIPv6 cannot be retained. Additionally, if the MN does not support global mobility, it cannot maintain communication with its correspondent node (CN). In this paper, we propose a solution for global mobility support in PMIPv6 networks, called Global-PMIPv6 that allows current communication sessions of a MN without mobility protocol stacks to be maintained, even when the MN moves into another LMD. Thus, Global-PMIPv6 retains the advantages of the PMIPv6 for global mobility support. We then evaluate and compare network performance between our proposed solution and PMIPv6.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.83-102
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• 2018

The process model of emotion regulation suggests that cognitive reappraisal and expressive suppression engage at different time points in the regulation process. Although multiple brain regions and networks have been identified for each strategy, no articles have explored changes in network characteristics or network connectivity over time. The present study examined (a) the whole-brain network and six other resting-state networks, (b) their modularity and global efficiency, which is an index of the efficiency of information exchange across the network, (c) the degree and betweenness centrality for 160 brain regions to identify the hub nodes with the most control over the entire network, and (d) the intra-network and inter-network functional connectivity (FC). Such investigations were performed using a traditional large-scale FC analysis and a relatively recent sliding window correlation analysis. The results showed that the right inferior orbitofrontal cortex was the hub region of the whole-brain network for both strategies. The present findings of temporally altering functional activity of the networks revealed that the default mode network (DMN) activated at the early stage of reappraisal, followed by the task-positive networks (cingulo-opercular network and fronto-parietal network), emotion-processing networks (the cerebellar network and DMN), and sensorimotor network (SMN) that activated at the early stage of suppression, followed by the greater recruitment of task-positive networks and their functional connection with the emotional response-related networks (SMN and occipital network). This is the first study that provides neuroimaging evidence supporting the process model of emotion regulation by revealing the temporally varying network efficiency and intra- and inter-network functional connections of reappraisal and suppression.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.178-185
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• 2021

The emergence of social networks has led to the flourishing of a new golden era of branding, which is a challenge for companies due to the need for creative positioning of companies with an emphasis on building trust and loyalty to the brand. Consumers are becoming more demanding and due to a wide range of products in different markets, make demands that are more stringent on companies. The goal of this article was to study the main trends of branding and advertising on social networks to develop a new approach to brand promotion. Methodology. The quantitative and qualitative research design was used to determine the main trends in branding and advertising on social networks. The methodology included the following methods: 1) analysis of the relationship between brand value and brand content strategy, 2) content analysis of the content of companies in social networks on the example of 10 world-famous brands with the highest value. The results allowed forming the criteria of effective content and communication: simplicity of content and simplicity of communication, lack of direct advertising of products, emphasis on global socio-economic problems and social orientation, unobtrusive communication, content creativity, indirect information about the product or work, the history of the company's development through various tools. The main content strategies of brands are defined: storytelling strategy; strategy of informing about the history of the company's development; entertainment and information strategy; strategy of joint interaction with the audience through the involvement of wellknown influencers or users of products. The theoretical and practical value of the results is confirmed by the conceptualization of the main content strategies of world-famous brands, which are pioneers in new ways to build relationships with users through social networks. The research proposes to use a customer-oriented approach to brand promotion. This means studying consumer behavior and predicting possible changes in behavior, which determines the level of interaction with the brand, the content strategy of the brand, and its effectiveness.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.14-21
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• 2021

Green networking has become a issue to reduce energy wastes and CO2 emission by adding energy managing mechanism to wired data networks. Energy consumption of the overall wired data networks is driven by access networks, expect for end devices. However, on a global scale, it is more difficult to manage centrally energy, measure and model the real energy use and energy savings potential of the access networks. This paper presented the multiple linear regression model to predict energy consumption of wired access networks using supervised learning of machine learning with data collected by existing investigated materials, actual measured values and results of many models. In addition, this work optimized the performance of it by various experiments and predict energy consumption of wired access networks. The performance evaluation of the regression model was achieved by well-knowned evaluation metrics.

• Journal of KIISE:Information Networking
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• v.37 no.1
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• pp.66-71
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• 2010

This paper proposes mobility management schemes providing Internet session continuity to moving vehicles in the V2I (Vehicle-to-Infrastructure) environment of the vehicular communication networks. Since PMIPv6 is localized mobility management protocol, PMIPv6 can not be directly applied to the vehicular communication network requiring global mobility coverage. Therefore, in this paper, we derive two scenarios of applying PMIPv6 to vehicular communication network environment and propose PMIPv6-based global mobility management schemes for those scenarios. Through simulations, we show that the proposed schemes can significantly decrease the Internet service discontinuity.