• Journal of KIISE:Information Networking
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• v.27 no.1
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• pp.30-38
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• 2000

In distributed HLR environment, the pointer forwarding with distributed HLR(Pointer Forwarding Scheme) has been proposed for eliminating the cost of updating multiple HLRs. In Pointer Forwarding Scheme, the find cost can be changed according to from which HLR a call originates. If a user changes PCS registration areas frequently, but receives calls relatively infrequently, and call for such a user originates from any other HLRs than the recently updated HLR, many VLRs should be traversed in order to find that user. In this paper, location tracking with jumping pointer in distributed HLR(Jumping Pointer Scheme) is proposed. The jumping pointer can be connected between the recently updated VLR and the VLR in which the mobile host currently resides. In case of call delivery, the mobile host can be found sooner by using the jumping pointer. In terms of 'find' cost, Jumping Pointer scheme improves about 17% over Forwarding Pointer scheme. Otherwise, Jumping Pointer scheme takes additional update charge in order to manage the jumping pointer. However the total costs of 'find' cost and 'update' cost for Jumping Pointer scheme are cheaper than them for Forwarding Pointer scheme when call-to-mobility ratio is smaller.

• Journal of the Korean School Mathematics Society
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• v.8 no.2
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• pp.249-271
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• 2005

The study was aimed to show effects of the newly step branch's feedback models on the mathematics underachievers' mathematics achievement and attitude toward the mathematics, extent of self-check. The subject are 26 mathematics underachievers in the End grade of H middle school located in Taejeon. They were divided into an experimental group and a control group, and the attribution disposition. Experiment group was provided step branch's feedback and control group was provided general formative' feedback. The duration of the treatment was over a period of six weeks. The result of study, the step branch's feedback was effects for increasing he mathematics achievement and attitude toward the mathematics than the general formative' feedback(p<.05). In addition, the step branch's feedback group had better extent of self-check than the general formative' feedback.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.5
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• pp.823-837
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• 2018

Congestion of the city with the rapid industrial development was accelerated to build complex social infrastructure. And numerous structures have been designed and constructed in accordance with these requirements. Recently, to solve complex urban traffic, many researches of large-diameter tunnel under construction downtown are in progress. The large-diameter tunnel has been developed with a versatile double-deck of deep depth tunnel. For the safe tunnel construction, ground reinforcement methods have been developed in the weakened pillar section like as junction of tunnel. This paper focuses on evaluation of the effects of new developed ground reinforcement methods in double-deck junction. The values of reinforcement determined from the existing and developed methods were compared to each other by numerical simulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.3
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• pp.177-182
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• 2002

In this paper, we present a mathematical theory and algorithm consoucting some fractal sets. Among such fractal sets, the degree-n bifurcation set as well as the Julia sets is defined by extending the concept of the Mandelbrot set to the complex polynomial $Z^n$+c($c{\epsilon}C$, $n{\ge}2$). Some properties of the degree-n bifurcation set and the Julia sets have been theoretically investigated including the symmetry, periodicity, boundedness, and connectedness. An efficient algorithm constructing both the degree-n bifurcation let and the Julia sets is proposed using theoretical results. The mouse-operated software called "MANJUL" has been developed for the effective construction of the degree-n bifurcation set and the Julia sets in graphic environments with C++ programming language under the windows operating system. Simple mouse operations can construct ann magnify the degree-n bifurcation set as well af the Julia sets. They not only compute the component period but also save the images of the degree-n bifurcation set and the Julia sets to visually confirm various properties and the geometrical structure of the sets. A demonstration has verified the useful versatility of MANJUL.of MANJUL.

• Journal of the Korean Geosynthetics Society
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• v.15 no.4
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• pp.17-23
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• 2016

This study assessed the behavior of rock pillar in tunnel asymmetric diverging area by using a three dimensional numerical analysis. The stability of pillar is very important for the ensure the stability of the tunnel asymmetric diverging area. Based on parameters affecting the behavior of rock pillar, this study evaluated different safety factors according to pillar width, depth and rock conditions. It turned out that as the rock pillar width increases, the change curve of safety factors in accordance with depth and rock conditions shows more of the nonlinear behavior. By the assessment of the minimum safety factor, a safety factor chart on the behavior of rock pillar in tunnel asymmetric diverging area was suggested.

• The KIPS Transactions:PartB
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• v.14B no.6
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• pp.413-422
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• 2007

This paper addresses a new technique for constructing surface model from a set of wire-frame contours. The most difficult problem of this technique, called contour triangulation, arises when there are many branches on the surface, and causes lots of ambiguities in surface definition process. In this paper, the branching problem is reduced as the surface reconstruction from a set of virtual belts and virtual canyons. To tile the virtual belts, a divide-and-conquer strategy based tiling technique, called the BPA algorithm, is adopted. The virtual canyons are covered naturally by an iterative convex removal algorithm with addition of a center vertex for each branching surface. Compared with most of the previous works reducing the multiple branching problem into a set of tiling problems between contours, our method can handle the problem more easily by transforming it into more simple topology, the virtual belt and the virtual canyon. Furthermore, the proposed method does not involve any set of complicated criteria, and provides a simple and robust algorithm for surface triangulation. The result shows that our method works well even though there are many complicated branches in the object.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.37-45
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• 2009

The minimum distance between tunnel and interchange has several steps to go through for road users; when road user comes out of tunnel, he/she reads information on road sign and tries to change the lane, and then reaches the destination (interchange). So that's why that minimum distance between tunnel and interchange has to be designed to reflect human factors sufficiently for road's users. This study aims to set for minimum distance between tunnel and interchange with involved human factors. People aged from their twenties to their seventies took part in this experiment by using driving simulator. As a result, the minimum distance between them was loom long. When it comes to this study for minimum distance between tunnel and interchange, this study will be significant in some ways reason why this method can be applied to all road facilities for road safety on scientific basis. In the near future, It will make a recommendation concerning the most suitable data for road safety by contributing better guideline.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.118-118
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• 2017

4대강 사업으로 인하여 장래 치수 및 물부족현상과 가뭄에 대비한 용수 확보를 위해 하도준설과 보의 설치, 중소규모댐 건설, 농업용저수지 증설 등이 진행되었다. 그중 낙동강에는 8개 대형보가 건설되었다. 하지만 보 건설로 인하여 주변 지역 지하수위가 상승하여 주변 농경지나 저지대가 침수될 가능성이 있어 4대강 사업의 문제점의 하나로 지적되어 왔다. 이에 본 연구에서는 낙동강 유역에 건설된 보로 인하여 상승한 하천수위가 보 주변지역에 미치는 영향을 알아보기 위하여 8개보 주변의 연구대상지역을 선정하고 지하수 모델(Visual-MODFLOW)을 이용하여 보 관리수위 및 함양량 변화에 따른 지하수 유동과 지하수 변화를 분석하였다. 각 연구대상지역별 지하수위 변동특성 분석 순서는 보 건설 후(현재상태)에 대하여 정류상태 보정을 실시한 후 보 관리수위 시나리오를 정하고 그에 따른 분기별 함양량을 적용하여 부정류 모의를 실시하였다. 그 결과 각 연구대상지역의 지하수위는 낙동강 하천수위와 비슷하게 형성되는 것으로 평가되었으며, 낙단보의 경우 분기별 지하수위 변화가 0.1m ~ 0.2m로 함양량 변화에 따른 지하수위 변동이 가장 작게 평가되었다. 상주보의 경우 분기별 지하수위 변화가 1.5m ~ 2.1m로 함양량 변화에 따른 지하수위 변동이 가장 큰 것으로 평가되었다. 이러한 지하수위 변화는 하천주변 농가의 재배 작물 수확량 및 품질에 직접적인 영향을 줄 수 있어 농번기인 2분기(4월 ~ 6월)와 4분기(10월 ~ 12월)의 경우 보 관리수위를 주변 재배작물에 따라 운영한다면 보 건설로 인한 주변 지하수위 상승으로 인한 영향을 최소화 할 수 있을 것으로 판단된다. 향후 한강, 금강, 영산강에 건설된 보 주변에 대한 지하수위 변화특성 연구가 필요할 것으로 판단되며 본 연구 결과를 바탕으로 보 관리수위 결정의 기초자료로 활용할 수 있을 것이라 판단 된다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.63-72
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• 2014

In this paper, we propose a sign language recognition system using SVM and depth camera. Especially, we focus on the Korean sign language. For the sign language system, we suggest two methods, one in hand feature extraction stage and the other in recognition stage. Hand features are consisted of the number of fingers, finger length, radius of palm, and direction of the hand. To extract hand features, we use Distance Transform and make hand skeleton. This method is more accurate than a traditional method which uses contours. To recognize hand posture, we develop the decision tree with the hand features. For more accuracy, we use SVM to determine the threshold value in the decision tree. In the experimental results, we show that the suggested method is more accurate and faster when extracting hand features a recognizing hand postures.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.517-525
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• 2022

In the era of big data, various data mining techniques have been proposed as major analysis methodologies. As complex and diverse data is mass-produced, data mining techniques have attracted attention as a method that forms the foundation of data science. In this paper, we focused on the decision tree, which is frequently used in practice and easy to understand as one of representative data mining methods. Specifically, we analyzed the effect of the splitting method of decision trees on the model performance. We compared the prediction power and structures of decision tree models with different split methods based on various simulated data. The results show that the linear combination split method can improve the prediction accuracy of decision trees in the case of data simulated from nonlinear models with complex structure.