• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.273-284
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• 2001

A systematic approach for interpreting Korean addresses based on postal code is presented in this paper. The implementation is focused on producing the final delivery point code from various types of address recognized. There are two stages in the address interpretation : 1) agreement verification between the recognized postal code and upper part of the address and 2) analysis of lower part of the address. In the agreement verification procedure, the recognized postal code is used as the key to the address dictionary and each of the retrieved addresses is compared with the words in the recognized address. As the result, the boundary between the upper part and the lower part is located. The confusion matrix, which is introduced to correct possible mis-recognized characters, is applied to improve the performance of the process. In the procedure for interpreting the lower part address, a delivery code is assigned using the house number and/or the building name. Several rules for the interpretation have been developed based on the real addresses collected. Experiments have been performed to evaluate the proposed approach using addresses collected from Kwangju and Pusan areas.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.369-374
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• 2014

Path generation methods are required for safe and efficient driving in unmanned autonomous vehicles. There are two kinds of paths: global and local. A global path consists of all the way points including the source and the destination. A local path is the trajectory that a vehicle needs to follow from a way point to the next in the global path. In this paper, we propose a novel method for local path generation through machine learning, with an effective curve function used for initializing the trajectory. First, reinforcement learning is applied to a set of candidate paths to produce the best trajectory with maximal reward. Then the optimal steering angle with respect to the trajectory is determined by training an artificial neural network. Our method outperformed existing approaches and successfully found quality paths in various experimental settings, including the cases with obstacles.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.75-81
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• 2004

Signature based intrusion detection system (IDS), having stored rules for detecting intrusions at the library, judges whether new inputs are intrusion or not by matching them with the new inputs. However their policy has two restrictions generally. First, when they couldn`t make rules against new intrusions, false negative (FN) errors may are taken place. Second, when they made a lot of rules for maintaining diversification, the amount of resources grows larger proportional to their amount. In this paper, we propose the learning algorithm which can evolve the competent of anomaly detectors having the ability to detect anomalous attacks by genetic algorithm. The anomaly detectors are the population be composed of by following the negative selection procedure of the biological immune system. To show the effectiveness of proposed system, we apply the learning algorithm to the artificial network environment, which is a computer security system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10A
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• pp.727-735
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• 2009

To alleviate positioning error using wireless ultra-wideband (UWB) is primary concern, and it has been studied how to reduce the positioning error effectively. Thanks to many repeated transmissions of UWB signals, we can have a variety of selections to point out the most precise positioning result. Towards this, scanning method has been preferred to be used due to its simplicity. This exhaustive method firstly fixes the candidate position, and calculates the sum of distances from observed positions. However, it has tremendous number of computations, and the complexity is more serious if the size of two-dimensional range is the larger. To mitigate the large number of computations, this paper proposes the technique employing genetic algorithm and block windowing. To exploit its superiority, simulations will be conducted to show the reduction of complexity, and the efficiency on positioning capability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3310-3316
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• 2011

Hematoxylin is the main component of Hematoxylon campechianum which has been utilized in the southern provinces of Korea as a folk remedy for diabetic complications. In the present study, to investigate the hypoglycemic mechanism of hematoxylin, the 2-deoxyglucose uptake and phospholipid metabolism were examined in sciatic nerves from three groups of rats : normal control, diabetic control, diabetic hematoxylin-treated group. Hematoxylin significantly reduced blood glucose levels in diabetic control rats. On a wet weight basis, the nerves from diabetic rats showed a 20% decrease in total phospholipid from that of controls and a relative decrease in phosphatidylinositide. Hematoxylin treatment increased the incorporation rate of 2-[3H] myo-inositol into total phosphoinositids in diabetic rat. The effectiveness were more potent in higher dose hematoxylin-treated rats than lower dose hematoxylin-treated rats. These results suggest that hematoxylin increases glucose transport and lipid metabolism by partially normalizing concerned with myo-inositol metabolism in diabetic rat. Therefore we propose that hematoxylin can be a promising candidate for diabetes medication.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.33-42
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• 2018

The purpose of this study is to suggest the shortcomings and the direction of the web accessibility evaluation studies by analyzing the research trends on web accessibility evaluation in Korea. For this aim, a total of 59 theses presented in the registered academic journal and the candidate of registration academic journals from January 2000 to March 2017 were selected. The selected dissertations have been analyzed based on the evaluators, the evaluation targets, the evaluation methods, and the evaluation results with regard to web accessibility. As a result of the analysis, the highest rate in the evaluator aspect was 'independent evaluation (66 percent)' and the highest percentage in the evaluation target aspect was 'web site (83 percent)'. When it came to the evaluation methods, automatic evaluation and the mixture of automatic evaluation and manual evaluation had a similar percentage. Lastly, only two papers showed that web accessibility did not have any problems. This study is meaningful in the sense that it suggested a desirable direction for the web accessibility studies in Korea and web accessibility evaluation studies in the situation when the meta studies which analyzed research trends are insufficient.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.33-44
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• 2005

Railroad crossing crashes are fewer than road crashes, but with regard to crash severity, they can be serious injury crashes. There should be, therefore, enormous efforts to increase the safety of railroad crossings. The objective of this paper is to identify and understand factors associated with railroad crossing crashes. Statistical models are used to examine the relationships between crossing accidents and geometric elements of crossings. The results show the Poisson model is the most appropriate method for the crossing accidents, because overdispersion was not observed. This study identifies seven significant factors associated with railroad crossing crashes through the main and variant models. With regard to explanatory factors on crossing safety, the total traffic volume, daily train volume, presence of commercial area around crossings, distance of train detector from crossings, time duration between the activation of warning signals and gates, crossing types, and speed hump were found to affect the safety of railroad crossings.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.206-206
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• 2010

정보화 기술이 급속히 발전함에 따라서 보다 많은 양의 data를 전송, 처리, 저장 하게 되면서 이를 처리 할 수 있는 대용량, 고속, 비휘발성의 차세대 메모리의 개발이 요구 되고 있다. 이 중 저항 변화 메모리(ReRAM)는 일반적으로 전이금속산화물을 이용한 MIM 구조로서 적당한 전기 신호를 가하면 저항이 높아서 전도되지 않는 상태(Off state)에서 저항이 낮아져 전도가 가능한 상태(On state)로 바뀌는 메모리 특성을 가진다. ReRAM은 비휘발성 메모리이며 종래의 비휘발성 기억소자인 Flash memory 보다 access time이 $10^5$배 이상 빠르며, 2~5V 이하의 낮은 전압에서 동작이 가능하다. 또한 구조가 간단하여 공정상의 결함을 현저히 줄일 수 있다는 점 등 많은 장점들이 있어서 Flash memory를 대체할 수 있는 유력한 후보로 여겨지고 있다. 저항 변화의 특징을 잘 나타내는 물질에는 $TiO_2$, $Al_2O_3$, $NiO_2$, $HfO_2$, $ZrO_2$등의 많은 전이금속산화물들이 있다. 본 연구에서는 Reactive DC-magnetron Sputtering 방법과 DC-magnetron sputter를 이용하여 Ti를 증착한 후 Oxidation 방법으로 각각 증착한 $TiO_2$박막을 사용하여 저항변화특성을 관찰하였다. $TiO_2$상부에 Atomic Layer Deposition (ALD)를 이용하여 $HfO_2$ 박막을 증착하여 표면처리를 하고, 또한 $TiO_2$에 다른 전이 금속박막 층을 추가 증착하여 저항변화 특성에 접합한 조건을 찾는 연구를 진행하였다. 하부 전극과 상부 전극 물질로는 Si 100 wafer 위에 Pt 또는 TiN을 사용하였다. 저항변화 특성을 평가하기 위해 Agilent E5270B를 이용하여 current-voltage (I-V)를 측정하였다. X-ray Diffraction (XRD)를 이용하여 증착 된 전기금속 박막 물질의 결정성을 관찰했으며, Atomic Force Microscopy (AFM)을 이용하여 증착 된 샘플의 표면을 관찰했다. SEM과 TEM을 통해서는 sample의 미세구조를 확인 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.631-631
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• 2015

최근 데이터가 전략적 의사결정의 핵심요소로 대두됨에 따라 데이터 통합 및 데이터 품질에 대한 관심이 증대되고 있다. 특히, 데이터 품질을 확보하기 위해 데이터 표준화가 필수적으로 수반되어야 한다. 그러나 데이터 활용에 있어 (1)데이터의 중복 및 불일치 발생, (2)데이터에 대한 의미 파악 지연으로 정보 제공의 적시성 결여, (3)데이터 통합의 어려움, (4)정보시스템 변경 및 유지 보수 곤란 등과 같은 현실적인 문제점들이 정확한 정보를 적시에 사용자에게 전달하는데 장애 요인으로 발생하고 있는 실정이다. 따라서 본 연구에서는 '국토관측센서 기반 수문 및 수재해 정보포털시스템 개발'에 앞서 보다 정확한 데이터 통합관리 및 제공서비스가 가능하도록 국내외 사례연구를 통한 기반을 마련하고자 한다. 데이터 표준화는 시스템별로 산재해 있는 데이터 정보요소에 대한 명칭, 정의, 형식, 규칙에 대한 원칙을 수립하여 이를 전사적으로 적용하는 것을 의미하며, 이러한 데이터 표준화 작업은 데이터의 정확한 의미 파악뿐만 아니라 데이터에 대한 상반된 시각을 조정하는 역할을 수행한다. 기본적으로 데이터 모델 및 데이터베이스에서 정의할 수 있는 모든 오브젝트를 대상으로 하는 것이 이상적이나, 주로 관리해야 될 필요성이 있는 오브젝트만을 대상으로 데이터 표준화를 하는 것이 더욱 효율적으로 작용한다. 본 연구는 국내외 데이터 통합관리 표준화 동향을 제시하였으며, 현업 사용자로부터 데이터 표준과 관련된 요구사항을 수요조사를 통하여 조사함으로써 데이터 표준 대상 후보를 식별하고 개선점을 도출하는데 사용할 기반을 마련하였다. 데이터 표준화가 수행되면 현업 사용자는 정확한 데이터를 사용할 수 있고, 올바른 의사결정을 내릴 수 있을 것으로 판단된다. 앞으로 데이터 표준, 데이터 표준 준수 체크, 데이터 표준 조회 및 활용 등 데이터 표준 관리에서 수작업으로 인해 발생하는 애로사항을 배제하기 위해 자동화에 관한 연구가 지속적으로 추진되어야 할 것으로 사료된다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.35 no.2
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• pp.65-71
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• 2022

Recently, multi-material structural topology optimization is more critical because it provides reasonable solution to weight reduction challenges and can as well provide effective conceptual design. For conventional multi-material topology optimization (MMTO), the number of design variable increases when the number of candidate materials increases, and accordingly, a significant increase in computational time occurs. Therefore, MMTO with a single design variable, such as the phase section method (PSM) was proposed. This research is focused on improving the PSM, considering three major limitations: the composition ratio does not represent the area or volume ratio, design variables are not sufficiently concentrated to target values, and certain materials are created less than they are required. To address such limitations, the redefined composition ratio and adjusted parameters for better convergence are proposed. The validation of proposed modifications is verified via two- and three-dimensional numerical examples.