• 품질경영학회지
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• 제30권3호
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• pp.168-185
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• 2002

A few recent international surveys reported that Korea ranks the top with respect to the high-speed information and communication network subscription per 100 people in the world. Such infrastructure has been bringing about broad changes in Internet service for both business and individual users. By conducting a questionnaire survey on a moderate size of sample proportional to the population of each region across country, we try to analyze what factors might explain the level of Internet service satisfaction with respect to security, searching, and convenience dimensions. According to the test results, several factors such as sex, age, kind of network lines, usage frequency, e-mail usage, e-shopping, online problem experience might explain the different levels of Internet service satisfaction in the high-speed Internet network. This study might shed a guidance to scholars conducting Internet-related studies and practitioners who plan information policies and business strategies.

• 한국통신학회논문지
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• 제38B권3호
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• pp.180-189
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• 2013

본 연구의 목적은 농어촌 지역의 정보격차 해소를 위한 초고속정보통신 인프라 구축 확대에 대해 경제성을 분석하여 정부 및 민간 통신사업자에게 정보화사업 확대의 당위성과 추진 전략을 제안하는 데에 있다. 초고속 인터넷 망에 대한 접근성이 결여된 상태에서 도시와 농어촌 지역 간에 정보격차가 발생될 수밖에 없는 상황을 살펴보고, 농어촌 지역의 마을 형태별 FTTH 망 구성을 위해 가입자 댁내 인입 구간인 1.3Km~1.5Km 범위를 대상으로 경제성 분석을 하였다. 통신 인프라 망의 구축을 통하여 창출되는 유무형의 사회적 편익요소의 가치를 고려할 때 중앙정부에서 주도적으로 정보화 사업을 추진할 필요가 있으며, 이를 위해 효과적으로 정보격차를 해소시킬 수 있는 방안을 제시하였다.

• 경영과학
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• 제19권2호
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• pp.169-178
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• 2002

The growth of Internet usage even accelerated by the spread of high-speed Internet access network such as ADSI is affecting our socioeconomic activities and culture in a great way. Korea is recently reported to be the number one high-speed Internet network subscription per 100 people in the world. In a way to reflect this situation, we collect a moderate size of sample proportional to the population of each region across country and investigate what factors might explain the level of user's dissatisfaction with respect to Internet service they have been receiving. The results indicate that the set of gender, age, Internet usage, service kinds, incoming e-mails, and e-shopping is significantly influencing user's dissatisfaction, in that dissatisfaction is measured in 11 perspectives. In particular, user's age, gender, and e-shopping experiences are considered to be mostly explainable.

• 한국정보처리학회논문지
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• 제6권11S호
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• pp.3190-3198
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• 1999

Because of the rapid growth of the mobile communication, the need for the mobile internet access has grown up as well. since the current mobile communication network, however, is optimized for a voice communication system, which exclusively occupies a channel for a given time, it is not suitable for variable rate packet data. In order to support the mobile internet access, it is essential do design a reasonable packet switching network which supports the mobility. Since mobile packet network has longer latency, high speed switching and QoS are required to meet the user's requirements. In this paper, we suggest an resonable way to construct a network and its operation procedures utilizing GPRS(General Packet Radio Service) network and MPLS(Multi Protocol Label Switching) to provide a high speed switching and QoS mobile internet access. GPRS is used as a network which supports the mobility and MPLS guarantees the QoS and high speed IP protocol transmission based on the ATM switching technology.

• 정보처리학회논문지C
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• 제12C권6호
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• pp.839-846
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• 2005

최근 정보기술의 발달로 통신, 방송, 인터넷 등의 모든 서비스들이 하나의 네트워크로 통합되는 광대역 통합망이 등장하게 되었다. 그러나 이에 대한 역기능으로 다양한 위협이 등장하고 있으며, 그 중 인터넷 웜과 같은 악성 코드는 국가 기간망을 뒤흔드는 혼란을 초래할 수 있다. 본 논문은 고성능 네트워크 환경에서 웜 확산에 대한 정확한 예측을 그 목표로 한다. 이를 위해 인터넷 쉽게 적용 가능한 확산 모델을 살펴보고, 여러 인터넷 웜을 적용하여 인터넷 환경에서 동작 방식을 분석한다. 제안 모델은 웜 확산 단계와 대응 단계에 따른 영향을 분석하여 인터넷 웜의 확산 규모와 속도를 보다 정확하게 예측할 수 있다. 본 논문의 결과는 광대역 통합 네트워크와 같은 고성능 네트워크에도 적용할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제2권3호
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• pp.135-149
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• 2008

Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but they have a limitation to figure out the pattern of the distributed global scale network attack. In this paper, we propose an efficient and fast method for detecting distributed global-scale network attack symptoms in high-speed backbone networks. The proposed method is implemented at the aggregate traffic level. So, our proposed scheme has much lower computational complexity, and is implemented in very high-speed backbone networks. In addition, the proposed method can detect attack patterns, such as attacks in which the target is a certain host or the backbone infrastructure itself, via collaboration of edge routers on the backbone network. The effectiveness of the proposed method are demonstrated via simulation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.135-158
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• 2018

High-Speed vehicles can be considered as multiple mobile nodes that move together in a large-scale mobile network. High-speed makes the time allowed for a mobile node to complete a handover procedure shorter and more frequently. Hence, several protocols are used to manage the mobility of mobile nodes such as Network Mobility (NEMO). However, there are still some problems such as high handover latency and packet loss. So efficient handover management is needed to meet Quality of Service (QoS) requirements for real-time applications. This paper utilizes the cross-layer seamless handover technique for network mobility presented in cellular networks. It extends this technique to propose QoS-aware NEMO protocol which considers QoS requirements for real-time applications. A novel analytical framework is developed to compare the performance of the proposed protocol with basic NEMO using cost functions for realistic city mobility model. The numerical results show that QoS-aware NEMO protocol improves the performance in terms of handover latency, packet delivery cost, location update cost, and total cost.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1597-1610
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• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.67-70
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• 2003

This paper analyzes the causal relationship between customer satisfaction and customer loyalty in Korean High-speed Internet market, where has achieved a rapid development in these days. According to the previous literatures, profitability results from customer loyalty influenced by customer satisfaction. So, we firstly define and analyze their relationships with the survey data from 737 subscribers, by using Factor Analysis and SEM(Structural Equation Model). Secondly, we find and select major cause variables to affect customer loyalty. Finally, we suggest some useful implications to marketers on the basis of the analysis results. As a result, customer loyalty depends on the degree of customer satisfaction on network quality and service quality in high-speed Internet service. Particularly the satisfaction level on network quality affects customer loyalty relatively stronger than one on service quality. Thus it is suggested that marketers invest in improving network quality rather than service quality to enhance customer loyalty.

• 인터넷정보학회논문지
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• 제5권4호
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• pp.23-33
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• 2004

본 논문에서는, 고속의 인터넷 백본 링크상에서 네트워크 공격의 징후를 트래픽 측정에 의하여 탐지해 내기 위한 방법을 제안한다. 이를 위하여, 인터넷 백본상에서 나타나는 정상 및 공격 트래픽의 패턴을 분석하였고. 이러한 트래픽 특성을 활용하여 네트워크 공격 감지를 위한 두가지 트래픽 척도를 도출하였다. 이들은 평균 파워 스펙트럼과 패킷수 대 트래픽양 비율이다. 그리고, 이들 트래픽 척도들을 집합된 트래픽 수준에서 측정함으로써 네트워크 공격 징후 감지를 위한 방법론을 제안한다. 실험 결과는 제안된 방법이 네트워크 공격 징후를 매우 잘 감지해내고 있음을 보여준다. 제안된 방법은 개별 플로우 또는 개별 패킷들에 기반을 둔 기존의 방법들과 달리, 집합된 트래픽 수준에서 운영되므로 계산의 복잡성을 현저히 줄일수있다.