• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.445-450
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• 2006

IPv6를 사용하는 계층적 모바일 인터넷(HMIPv6)에서는 단말의 이동을 관리하기 위해 MAP (Mobility Anchor Point)를 사용한다. 현재는 매크로 핸드오프 발생 시 단말로부터 가장 멀리 떨어져있는 MAP을 선택하는 기법을 사용하고 있다. 그러나 이 경우 하나의 큰 MAP으로 전체 부하가 몰리는 문제와 이동 단말과 MAP 간의 긴 거리로 인해 통신 비용이 증가하는 문제가 있다. 따라서 이 연구에서는 단말의 이동속도와 패킷 전송률을 종합적으로 고려하여 새 MAP 영역에서 소요될 이동지역비용을 계산하고 이를 최소화하는 MAP 도메인 크기를 구하여 실제 서비스 받을 MAP들 중 이와 가장 유사한 크기의 MAP을 선택하는 기법을 제안한다.

• Annual Conference of KIPS
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• 2008.05a
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• pp.808-811
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• 2008

HMIPv6는 핸드오버시 시그널링 오버헤드와 패킷 손실을 감소시키는데 목적이 있다. 그러나 HMIPv6는 성능 평가면에서 기존의 MIPv6보다 우수하지 못하다. HMIPv6 환경하에서 새로운 도메인에 진입한 MN이 MAP 선택시 최상위 MAP을 선택하여 CN과 통신할 경우 최상위 MAP에 부하가 집중되고 MN이 빈번하게 이동하거나 대용량서비스를 이용하게 되면 성능이 저하되고, 반대로 MN이 최하위 MAP을 선택하여 CN과 통신할 경우에는 HA나 CN에 대한 Binding Update 시그널 증가로 성능이 저하된다. 이에 본 논문에서는 MN이 MAP 선택시 Distance, 노드사용율 및 대역폭 사용율을 바탕으로 MAP을 선택하는 적응적 MAP을 선택하는 방안에 대해서 논하고자 한다.

• The KIPS Transactions:PartC
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• v.17C no.6
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• pp.491-498
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• 2010

Wi-Fi based vehicle-to-infrastructure (V2I) communication is an emerging solution to improve the safety, traffic efficiency, and comfort of passengers. However, due to the high mobility of vehicles and the limited coverage of Wi-Fi APs, the V2I system may suffer from frequent handoffs although roadside APs can support cost effective Internet connectivity. Such problem of V2I systems can be overcome with Mobile AP (MAP) platform. The MAPs yield longer service duration by moving along with vehicles, yet they provide a lower link capacities than the roadside APs. In this paper, we propose a new association control mechanism that effectively determines whether the vehicle will select a fixed roadside-AP or a nearby MAP in mobile vehicular network environments. We consider both the achievable link bandwidth and available connection duration as a selection criterion and provide their run-time estimation method. Extensive simulation using real traces show significant performance improvements.

• ETRI Journal
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• v.41 no.5
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• pp.574-584
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• 2019

A new Mirai variant found recently was equipped with a dynamic update ability, which increases the level of difficulty for DDoS mitigation. Continuous development of 5G technology and an increasing number of Internet of Things (IoT) devices connected to the network pose serious threats to cyber security. Therefore, researchers have tried to develop better DDoS mitigation systems. However, the majority of the existing models provide centralized solutions either by deploying the system with additional servers at the host site, on the cloud, or at third party locations, which may cause latency. Since Internet service providers (ISP) are links between the internet and users, deploying the defense system within the ISP domain is the panacea for delivering an efficient solution. To cope with the dynamic nature of the new DDoS attacks, we utilized an unsupervised artificial neural network to develop a hierarchical two-layered self-organizing map equipped with a twofold feature selection for DDoS mitigation within the ISP domain.

• Current Optics and Photonics
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• v.8 no.5
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• pp.472-483
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• 2024

This paper presents an intuitive method for selecting an optical material for achromatic and athermal design using the material selection index (MSI). In addition, in the case of a wide wavelength range such as a short-wave infrared (SWIR) waveband, we propose a new material selection method for apochromatic and athermal design by introducing the relative error of partial dispersion (REPD) and a first-order quantity redistribution method. To obtain a suitable material for effective apochromatic design, we first evaluate the REPDs of all lenses, deviated from that of an equivalent lens. Materials with a small REPD are then selected on a glass map to correct residual chromatic aberration while maintaining the existing MSI values to realize athermalization simultaneously. Using this proposed glass selection method, we successfully obtained an apochromatic and athermal telephoto system for SWIR that realizes stable performance over the specified temperature and wide waveband ranges.

• Journal of the Korean Mathematical Society
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• v.35 no.1
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• pp.165-175
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• 1998

We give a generalization of the selection theorem of Ben-El-Mechaiekh and Oudadess to complete LD-metric spaces with the aid of the notion of n-connectedness. Our new selection theorem is used to obtain new results of fixed points and coincidence points for compact lower semicontinuous set-valued maps with closed values consisting of D-sets in a complete LD-metric space.

• Annual Conference of KIPS
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• 2007.11a
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• pp.1073-1076
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• 2007

HMIPv6 (Hierarchical Mobile IPv6)는 MAP (Mobility Anchor Point)을 이용하여 이동노드를 효율적으로 관리하는 방안을 제시하였다. MAP 에 걸리는 부하는 HMIPv6 로 구성된 네트워크에 진입한 이동노드가 어느 MAP 을 선정하느냐에 따라 달라진다. MAP 을 선정하는 방법으로 이동노드의 이동속도나 MAP 과 이동노드의 거리를 고려하여 선택하는 방법 등이 연구되었다. 하지만 이들은 각각 이동속도 측정을 위한 추가적인 비용이 발생하거나 특정 MAP 에 몰리는 현상을 효과적으로 해결하지 못하는 문제점이 있다. 본 논문은 HMIPv6 로 구성된 네트워크에서 네트워크 관리지역의 중앙부분을 지나는 이동노드가 바깥부분을 지나는 이동노드보다 해당 네트워크에 오래 머무른다는 사실에 착안하여 지역정보 기반의 MAP 선정기법을 제안한다. 제안하는 기법은 우선 네트워크 관리지역 내에 분포된 MAP 들을 지역정보에 기반하여 계층적으로 구성한다. 그 다음, 중앙부분을 지나는 이동노드에게 보다 넓은 지역을 담당하는 높은 레벨의 MAP 을 선정하고 바깥부분을 지나는 이동노드에게 보다 좁은 지역을 담당하는 낮은 레벨의 MAP 을 선정한다. 이로써 전체적으로 발생하는 바인딩 업데이트 비용을 줄이고 MAP 의 로드밸런싱 효과를 얻는다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3295-3311
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• 2020

With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1998.03a
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• pp.35-39
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• 1998

Determination of effective EDM parameters is significant to increase productivity. However, With the complexity of EDM phenomena, a universal selection method of EDM parameters has not been established yet. Moreover, No attempt has been tried before to suggest a logical method in determining essential machining parameters for effective electrical discharge machining. Peak current, one of the most significant factors in EDM, is proportional to EDM area. This paper presents a method that can be Z-map modeling from CMM data, and calculate EDM area using Z-map.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.181-188
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• 2022

The purpose of this study is to identify selection attributes, functional benefits, psychological benefits, and values according to crossover shopping patterns (showrooming and webrooming). To achieve objectives of this study, a survey was designed based on the means-end chain theory, using the in-depth laddering technique and APT laddering technique which understanding the linkage of A(attributes)-FB(functional benefits)-PB(psychological benefit)-V(value). These two laddering techniques were used to construct a hierarchical value map (HVM) by linking selection attributes, functional benefits, psychological benefits, and value levels. The selection attribute items that showrooming shoppers consider important are 'price conformity', 'product information', 'product variety', and 'delivery service'. Functional benefit items were 'free purchase', 'economic benefit', 'communication', 'safety', and 'accurate Information', and psychological benefit items were 'convenience', 'relaxation', 'pleasure', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'achievement', 'happiness', and 'reasonable life'. Next, the selection attribute items that webrooming shoppers consider important are 'price conformity', 'product information', 'product variety', 'AS', 'shopping atmosphere', and 'seller service'. Functional benefit items were 'free purchase', 'economic profit', 'expression opinion', 'safety', and 'accurate information', and psychological benefit items were 'convenience', 'relaxation', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'happiness', and 'reasonable life'.