• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4706-4712
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• 2013

One of the efficient procedures for the solution of partial differential equations is the method of differential quadrature. This method has been applied to a large number of cases to circumvent the difficulties of programming complex algorithms for the computer, as well as excessive use of storage due to conditions of complex geometry and loading. Under in-plane uniform distributed load, the buckling of asymmetric curved beam with varying cross section is analyzed by using differential quadrature method (DQM). Critical load due to diverse cross section variation and opening angle is calculated. Analysis result of DQM is compared with the result of exact analytic solution. As DQM is used with small grid points, exact analysis result is shown. New result according to diverse cross section variation is also suggested.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.72-76
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• 2009

Recently, as the interest of ubiquitous computing has been increased there has been lots of research about recognizing human activities to provide services in this environment. Especially, in mobile environment, contrary to the conventional vision based recognition researches, lots of researches are sensor based recognition. In this paper we propose to recognize the user's activity with multi-modal sensors using hierarchical dynamic Bayesian networks. Dynamic Bayesian networks are trained by the OVR(One-Versus-Rest) strategy. The inferring part of this network uses less calculation cost by selecting the activity with the higher percentage of the result of a simpler Bayesian network. For the experiment, we used an accelerometer and a physiological sensor recognizing eight kinds of activities, and as a result of the experiment we gain 97.4% of accuracy recognizing the user's activity.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.492-496
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• 2010

Wikipedia as an open encyclopedia contains immense human knowledge written by thousands of volunteer editors and its reliability is also high. In this paper, we propose to automatically construct a Korean named entity dictionary using the several features of the Wikipedia. Firstly, we generate class hierarchies using the class information from each article of Wikipedia. Secondly, the titles of each article are mapped to our class hierarchies, and then we calculate the entropy value of the root node in each class hierarchy. Finally, we construct named entity dictionary with high performance by removing the class hierarchies which have a higher entropy value than threshold. Our experiment results achieved overall F1-measure of 81.12% (precision : 83.94%, recall : 78.48%).

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.369-376
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• 2016

Among various vehicle extraction techniques, OBPCA (Object-Based Point Cloud Analysis) calculates features quickly by coarse-grained rectangles from top-view of the vehicle candidates. However, it uses only a top-view rectangle to detect a vehicle. Thus, it is hard to extract rectangular objects with similar size. For this reason, accuracy issue has raised on the OBPCA method which influences on DEM generation and traffic monitoring tasks. In this paper, we propose a novel method which uses the most distinguishing vertical elevations to calculate additional features. Our proposed method uses same features with top-view, determines new thresholds, and decides whether the candidate is vehicle or not. We compared the accuracy and execution time between original OBPCA and the proposed one. The experiment result shows that our method produces 6.61% increase of precision and 13.96% decrease of false positive rate despite with marginal increase of execution time. We can see that the proposed method can reduce misclassification.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2056-2060
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• 2008

도시하천의 오염원은 점오염원과 비점오염원으로 분류되어 점오염원은 하천유입 전에 차집하여 하수처리장에서 처리하는 체계가 갖추어져 있으나 전체 오염부하량의 $30%{\sim}40%$ (BOD기준)로 추정되는 비점오염원은 차집되거나 처리되지 않고 그대로 하천에 유입되고 있는 실정이다. 비점오염원은 불특정 오염원으로서 지표의 오염물질이나 합류식 하수관거의 하수가 강우에 의해 발생한 유출과 함께 하천으로 유입(CSOs)되어 우천 시에 하천을 오염시키는 가장 큰 원인이 되고 있으므로 이의 저감하기 위한 효과적인 비점오염원 관리방안이 요구된다. 본 연구에서는 대상유역인 부산광역시에 위치한 온천천 유역을 주요토구별 43개 유역으로 구분하여 SWMM(Storm Water Management Model)을 구축하였고 개별 토구에 Divider를 설치하여 일정 차집량을 초과하는 유량은 처리장으로 유입되는 것으로 모의하였다. 장치형 처리시설은 농도에 따라 일정효율을 가지고 처리시설의 임계유량을 초과하는 경우는 미처리되어 방류되는 것으로 가정하였으며 처리장으로 차집된 유량도 처리장의 시간최대 유량을 초과하는 유량은 간이처리 후 방류되는 것으로 가정하여 시나리오에 따라 모의하였다. 각 토구별로 처리시설을 설치한 경우의 처리효율과 차집비율을 증가시켜 처리장에서 일괄처리하는 경우의 처리효율을 차집비율별로 검토하여 최적의 차집비율을 검토하였다. 또한 오염원 관리측면의 면적당 축적부하량 저감과 발생량 관리측면의 토구의 차집비율 증가 및 토구에 대한 처리시설 설치비율에 따른 효율을 검토하여 처리효율, 오염원 저감 및 차집비율에 대한 상관관계를 도출하였다.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.123-137
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• 2011

In general, flow propagation has been explained using the shock wave theory which is expressed as a function of variations in volume and density. However, the theory has certain limitation in portraying heterogeneous flow, e.g., flow propagation between lanes. Motivated by this fact, this study seeks a new measure for analyzing the propagation characteristics of traffic flow at three sections of highway (i.e., merging area, weaving section, and basic section) from temporal and spatial perspectives, and then develops a model for estimating the measure for the flow propagation. The "shock wave speed" which is the measure widely adopted in literature, was first applied to describe the propagation characteristics, but it was hard to find distinct characteristics in the propagation. This finding inspires to develop a new measure named "Impulse Volume". It is shown that the measure better explains the propagation characteristics at the three study sections of highway. In addition, several models are also developed by performing multi-regression analyses to explain the flow propagation between lanes. The models proposed in this paper can be distinguished in three sections and the lane placement.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.23 no.3
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• pp.152-160
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• 2013

The purpose of this study is to enhance the mechanical strength of specimens containing fly ash from fluidized bed type boiler, which the recycling rate will be eventually increased. Specimens containing fly ash in a certain portion were made and aged for 3, 14, and 28 days. Specimens were carbonated under the supercritical condition at $40^{\circ}C$. The carbonation process under the supercritical condition was performed to enhance the mechanical property of specimens by filling the voids and cracks existing inside cement specimen with $CaCO_3$ reactants. The additional aging effect after the supercritical carbonation process on mechanical strength of specimens was also investigated by comparing the compressive strength with and without 7 day extra aging. Under the supercritical condition and additional 7 day aging specimens were very effective for enhancement of mechanical strength and compressive strength increased by 44 %.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1443-1450
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• 2017

The purpose of this study is to develop an intelligent parking dispatching system based on LoRa network technology. During the local festival, many tourists come into the festival site simultaneously after sunset. To handle the traffic jam and parking dispatching, many traffic management staffs are engaged in the main road to guide the cars to available parking lots. Nevertheless, the traffic problems are more serious at the peak time of festival. Such parking dispatching problems are complex and real-time traffic information dependent. We used Queuing theory to predict inbound traffics and to measure parking service performance. Q-learning algorithm is used to find fastest routes and dispatch the vehicles efficiently to the available parking lots.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.201-210
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• 2006

This study proposed a framework to clarify a viewpoint of quality problems, and to consider reliance, of context information in ubiquitous computing environments. The framework is structured as a sequence of steps in measuring the quality of context information. The first step in measuring the qualify of context information is to determine users of the context information. This is important because the type of users or applications determines the type of context information and thus the methods of measuring the qualify dimensions and the thresholds for evaluating the quality of context information. The other steps include methods for measuring each quality dimensions to allow quantitative evaluation of quality, establishing acceptable quality targets. We selected accuracy, completeness, up-to-dateness, access security, and representation as quality dimensions and proposed their measurement methods and concrete procedures. We enabled objective evaluation of quality level through proposal of methods suitable to quality measurement of context information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.706-714
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• 2010

In wireless sensor networks, real-time data delivery schemes typically achieve a desired delivery speed by performing one-hop lookahead. Recently, to reduce the deadline miss ratio against the desired delivery speed, a study has proposed a real-time routing protocol based on proactively performing two-hop lookahead. However, the study might cause heavy message exchange overhead and high computing complexity to carry out obtainment of two-hop neighborhood speed information in the entire sensor nodes whether data are delivered or not. Moreover, although multi-hop lookahead provides the least deadline miss ratio, due to the restriction from the overhead and the complexity, the recent study merely adopts the two-hop lookahead manner. In this paper, we propose a novel real-time routing protocol that adopts on-demand neighborhood multi-hop information obtainments only around data forwarding paths. Simulation results prove that the proposed routing protocol offers better performances with respect to deadline miss ratio, total communication costs, energy efficiency, and network lifetime.