• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.843-847
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• 2023

In this paper, we propose a model for detecting efficient fire identification to prevent fires that can lead to various industrial accidents, farmland and large forest fires, with the widespread use of various chemicals and flammable substances as modern technology advances. This paper presents an algorithm that can detect fire smoke in a high-efficiency and short time using images, and an algorithm based on SVM(Support Vector Machine) and K fold cross-verification technologies. By analyzing images, fire and smoke detection algorithms have relatively superior detection performance compared to existing algorithms, and the analysis of fire and smoke characteristics detected in this paper is analyzed stably and efficiently and is expected to be used in various fields that may be exposed to fire risks in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.538-540
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• 2003

본 논문은 한.중 교차언어 검색을 위한 효과적인 질의 확장에 대해 기술하고 있다. 한.중 교차언어 검색은 한국어 질의로 중국어 문서를 검색하는 것이고 본 논문에서는 대역어 사전을 이용하여 한국어 질의를 중국어 질의로 변환하는 방식을 사용한다. 질의 확장을 위한 방법으로 중국어 시소러스인“동의사사림”을 사용하였다. 그리고 동의어들과 주변 단어간의 상호 정보를 비교함으로서 재현률과 정확률을 높였다. 실험을 통하여 검증한 결과 사전만 사용하여 변환하는 방법에 비하여 검색 성능이 향상되었다.

• Proceedings of the KIPE Conference
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• 2016.11a
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• pp.101-102
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• 2016

영구자석 동기전동기(PMSM)의 효율적인 구동을 위해 전동기의 제정수를 실시간으로 정확하게 추정하는 것이 매우 중요하다. 대부분의 전동기 제정수 추정 기법은 전동기의 교차 결합 현상(Cross coupling effect)을 고려하지 않은 전동기 모델을 이용한다. 본 논문에서는 영구자석 동기전동기에서 기존의 제정수 추정 기법을 적용할 경우 교차 결합 현상에 의해 발생하는 제정수의 추정 오차를 수학적으로 분석하고 이를 시뮬레이션을 통해 검증하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.658-661
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• 2012

국제적으로 이슈가 되고있는 사건들의 뉴스는 보도당국의 입장차이에 따라 동일 이슈에 대한 관점의 차이를 나타낸다. 교차언어 연구에서는 번역하는 과정이 중요하다. 본 논문에서는 중-한 어휘번역에서 발생하는 오류 및 모호성을 해결하기 위해 키워드를 중심으로 문맥 어휘를 이용해서 번역한 후 번역결과에서 빈도가 높은 한국어 어휘를 선택하는 방법을 제안한다. 제안 방법의 유효성을 검증하기 위해 소셜 이슈 3 개에 대한 트윗 데이터에서 실험하여 추출된 중-한 이슈 뉴스 결과에서의 정확도 85.8%의 성능을 보였다. 실험을 통해 제안 방법이 중-한 교차언어 트위터 데이터에서 동일한 이슈와 관련된 뉴스를 찾는데 효과적인 방법임을 알 수 있다.

• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.151-168
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• 2014

The purpose of this paper is to show the brief efficiency and clustering measurement way by using the game cross-efficiency model which is newly introduced in this paper for 13 container ports during 3 years(2009, 2010, and 2013) with 3 input variables(depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results are as follows. First, the average rankings of game cross-efficiency model are Ningbo, Hongkong, Shanghai, Dubai, Singapore, Qingdao, Kaosiung, Busan, Tokyo, Incheon, Nagoya, Manila, Gwangyang ports in order. Second, according to ANOVA analysis, three models show the similar results in terms of the efficiency rankings. Third, in the clustering analysis using dendrogram, group A(Shangahi and Busan), group B(Ningbo and Nagoya), and group C(Incheon and Manila) show the common clustering ports during 3 or 2 years. The policy implication of this paper is that Korean port policy planner should introduce the game cross-efficiency method when measuring the individual port efficiency. Also port authority should consider the merits of the clustering ports for improving the port management and operations.

• Asia Marketing Journal
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• v.11 no.3
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• pp.57-89
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• 2009

This study aims to shed light on the new insights on the cross-buying intentions in the banking industry and suggests an integrated model of the cross-buying intentions. Recently with globalization in the financial sector, financial companies are trying to retain current customers and attract new one by developing various financial products. In South Korea, this trend is especially apparent in the banking sector. Cross-selling of various financial products such as beneficiary certificates, bankasurance and etc. is becoming more important in retaining competitive advantage in Korean banking industry. However, there are few studies which are trying to find out the factors affecting cross-buying intentions and explain their interrelationships comprehensively. Based upon the previous studies, this study finds out the factors affecting cross-buying intentions and classifies them into two dimensions: affective and instrumental. Affective dimension includes trust, satisfaction and commitment. Instrumental dimension includes the factors such as geological convenience, one-stop convenience, professionality, and direct mail. The results from this study are as follow. All the factors in the affective dimension(trust, satisfaction and commitment) have significant impacts on cross-buying intentions. Also all the factors in the instrumental dimension(geological convenience, one-stop convenience, professionality, and DM) significantly affect cross-buying intentions. Some implications of this dissertation are as follow; First, this study identifies the antecedents of cross-buying intentions comprehensively. Second, this paper provides practical guidelines for the banks attempting to intensify cross-selling activities. Third, banks need to develop sophisticated plans which can consolidate the emotional ties with customers through positive service experiences as the affective dimension is important in influencing cross-buying intentions. Finally, regarding the instrumental dimesnion, the implications are: 1) Developing various new financial products in addition to traditional product such as deposits and installment savings for improving customer convenience, 2) Enhancing the professionality of employees by strengthening education programs on numbers of financial products, 3) Increasing cross-buying intentions through the DM.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.7
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• pp.221-228
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• 2020

Part-of-Speech (POS) tagged corpus is a collection of electronic text in which each word is annotated with a tag as the corresponding POS and is widely used for various training data for natural language processing. The training data generally assumes that there are no errors, but in reality they include various types of errors, which cause performance degradation of systems trained using the data. To alleviate this problem, we propose a novel method for detecting errors in the existing POS tagged corpus using the classifier of XGBoost and cross-validation as evaluation techniques. We first train a classifier of a POS tagger using the POS-tagged corpus with some errors and then detect errors from the POS-tagged corpus using cross-validation, but the classifier cannot detect errors because there is no training data for detecting POS tagged errors. We thus detect errors by comparing the outputs (probabilities of POS) of the classifier, adjusting hyperparameters. The hyperparameters is estimated by a small scale error-tagged corpus, in which text is sampled from a POS-tagged corpus and which is marked up POS errors by experts. In this paper, we use recall and precision as evaluation metrics which are widely used in information retrieval. We have shown that the proposed method is valid by comparing two distributions of the sample (the error-tagged corpus) and the population (the POS-tagged corpus) because all detected errors cannot be checked. In the near future, we will apply the proposed method to a dependency tree-tagged corpus and a semantic role tagged corpus.

• Journal of the Korean Society of Groundwater Environment
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• v.4 no.3
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• pp.111-115
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• 1997

Discrete fracture model has become one of the alternatives for the classical continuum model to simulate the irregular aspects of the fluid flow and the solute transport in fractured rocks. It is based on the assumptions that the discharge in a single fracture is proportional to the cube of the aperture and the fractured rock can be represented by the statistical assemblage of such single fractures. This study is intended to evaluate the effect of the fracture junction on the cubic law. Numerical solution of flow in junction system was obtained by using the Boundary-Fitted Coordinate System (BFCS) method. Results with different intersection angles in crossing fractures show that the geometry of the junction affects the discharge pattern under the same simulation conditions. Therefore, strict numerical and experimental examinations on this subject are required.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3109-3116
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• 1998

본 논문에서는 대규모 병렬컴퓨터의 구현에 적합한 위상구조인 교차메쉬구조에서, 균등한 메시지분포를 갖고 메시지의 경쟁이 있는 실제적 상황에서 상호접속망내의 메시지의 경로를 선정하기 위한 방법들을 제안하고, 이의 성능을 검증하기 위해 우회 경로설정 알고리즘을 이용하여 시뮬레이션을 하였다. 교차메쉬의 특성상 최적경로의 수가 다른 구조들에 비해 다양하다는 특징을 이용하여 최적경로의 수를 우선순위에 반영한 우회조건 및 대각방향의 링크를 효율적으로 활용하기 위한 링크선정방법에 따를 교차메쉬의 최대지연(maximum delay), 평균지연(average delay) 및 메시지처리율(throughput)을 구하고 이를 비교 고찰하였다. 메시지 전송시 최적인 경로상의 링크에 경합이 생길 경우 최적 경로의 수가 적은 메시지가 높은 우선순위를 가지며 만약 같은 조건이라면 우회한 횟수가 많은 메시지가 높은 우선순위를 갖는 우회조건 LD를 사용하며 이 우선순위에 따라 경로를 선정할 차례가 된 메시지가 선택할 수 있는 최적경로의 수가 많을 경우 대각방향의 링크로 우선적으로 전송할 경우, 오래된 메시지가 높은 우선순위를 갖는 우회조건 A에 의한 방법에 비해 최대지연, 평균지연 및 메시지처리율에 있어서 각각 이상값에 대한 개선목표치의 약58%, 70% 및 31%의 성능개선이 있었다.

• Nuclear Engineering and Technology
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• v.27 no.4
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• pp.491-502
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• 1995

In accurate prediction of cross-flow based on detailed knowledge of the velocity field in subchannels of a nuclear fuel assembly is of importance in nuclear fuel performance analysis. In this study, the low-Reynolds number k-$\varepsilon$ turbulence model has been adopted in too adjacent subchannels with cross-flow. The secondary flow is accurately estimated by the anisotropic algebraic Reynolds stress model. This model was numerically calculated by the finite element method and has been verified successfully through comparison with existing experimental data. Finally, with the numerical analysis of the velocity Held in such subchannel domain, an analytical correlation of the lateral loss coefficient is obtained to predict the cross-flow rate in subchannel analysis codes. The correlation is expressed as a function of the ratio of the lateral How velocity to the donor subchannel axial velocity, recipient channel Reynolds number and pitch-to-diameter.