• Journal of Industrial Convergence
• /
• v.22 no.2
• /
• pp.33-43
• /
• 2024

This study aims to test the relationship between brand embeddedness and cross-selling intention, as well as how customer satisfaction affects as mediator its relationship. The data set includes 258 consumers using a specific smartphone brand and we gather the data by conducting a survey. We use structural equation modeling to verify hypotheses and do nonparametric bootstrap approach for additional analysis of the mediating role of customer satisfaction. The results of analysis are as follows. First, it has been shown that barnd embeddedness positively affects customer satisfaction and cross-buying intention. Second, customer satisfaction is found to have a positive effect on cross-buying. By combining these results and additional analysis, we confirm that the direct effect of brand embeddedness is more effective for cross-buying intention than the indirect effect of customer satisfaction. The results of this empirical analysis show the academic value that brand embeddedness as social capital can be a antecedent for cross-buying intention. In addition, this study suggests the need for brand practitioners to increase the embeddedness of customers related to the brand and consider the mediating role of customer satisfaction together in order to increase cross-buying.

• International Journal of Highway Engineering
• /
• v.12 no.2
• /
• pp.1-7
• /
• 2010

This study deals with the unsignalized intersection delay in the urban transportation demand forecasting. The objectives are to develop the unsignalized intersection delay models and to comparatively analyze the applicability of the above models. In pursuing the above, this study gives particular attentions to simulating by KHCS program and implementing the case study of Cheongju using EMME/2. The major findings are the followings. First, the 8 unsignalized intersection delay models were developed through 480 simulating results, which are all statistically significant. Second, the estimates by the unsignalized delay models were analyzed to be most fitted to the observed traffic volume data.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10a
• /
• pp.538-540
• /
• 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 SAREK Conference
• /
• 2006.06a
• /
• pp.393-398
• /
• 2006

This study is undertaken to evaluate the characteristics of cross contamination around exterior air-vents. A CFD analysis has been performed to calculate the cross contamination index for five exterior air-vents sizes according to the outdoor air velocity and separation distance of it. From the result of the numerical method, As the outdoor air velocity is increased, the cross contamination index is increased. on the contrary, as the separation distance of exterior air-vents is increased, the cross contamination index is decreased, additionally the cross contamination is affected by the aspect ratio of the size of exterior Air-vents.

• Proceedings of the Korea Contents Association Conference
• /
• 2019.05a
• /
• pp.269-270
• /
• 2019

무장 비행 궤적 간 간섭을 식별하여 아군 무장간 충돌을 방지함으로써 단위 시간 당 교전 효과를 극대화하는 것은 다무장 대지 무기체계 운용에 있어서 필수적이다. 기존 연구에서는 연산 부하의 최소화를 목표로 3차원 무장 비행 궤적을 2차원 평면의 사격선으로 변환하여 간섭을 식별하는 알고리즘을 제안하였다. 그러나 기존 연구는 2차원 평면에서 사격선간 교차점이 발생할 경우 간섭으로 식별하고, 이에 대한 무장 할당을 해제함으로써 무장 활용도를 감소시키는 문제가 있었다. 이를 고려하여 본 논문에서는 교전 효과 최대화를 위한 효율적인 무장 궤적 간 간섭 식별 알고리즘을 제안한다. 제안하는 알고리즘은 2차원 평면에서 사격선간 교차점이 발생할 경우, 해당 사격선을 3차원 평면에서 비행 궤적 간 비교 연산을 수행하여 실제 간섭 여부를 식별함으로써 무장 활용도를 최대화하는 것이 가능하다. 성능 평가 결과, 제안하는 기법은 기존 기법에 비해 궤적 교차수는 최대 52.1% 감소하였으며, 그에 따른 표적 할당율은 최대 6.9% 향상됨을 보임으로써 그 우수성을 확인하였다.

• Journal of Internet Computing and Services
• /
• v.9 no.6
• /
• pp.27-35
• /
• 2008

With the proliferation of wireless devices, mobile ad-hoc networking (MANETS) has become a very exciting and important technology. However, MANET is more vulnerable than wired networking. Existing security mechanisms designed for wired networks have to be redesigned in this new environment. In this paper, we discuss the problem of anomaly detection in MANET. The focus of our research is on techniques for automatically constructing anomaly detection models that are capable of detecting new or unseen attacks. We propose a new anomaly detection method for MANETs. The proposed method performs cross-feature analysis on the basis of Rough sets to capture the inter-feature correlation patterns in normal traffic. The performance of the proposed method is evaluated through a simulation. The results show that the performance of the proposed method is superior to the performance of Huang method that uses cross-feature based on the probability of feature attribute value. Accordingly, we know that the proposed method effectively detects anomalies.

• International Journal of Highway Engineering
• /
• v.10 no.3
• /
• pp.47-56
• /
• 2008

Generally, accident exposure at intersections is relatively higher than that at roadway segments due to more possibility of merging, diverging, turning, crossing, and weaving maneuver. Furthermore, the traffic accident rate at intersections has been rapidly increasing since 1990's. Since there is more opportunity of conflict at unsignalized intersection, frequency and severity of traffic accident are more severe than signalized intersections. The purpose of the study is to analyze factors causing vehicle crashes and provide intersection design guidelines to improve intersection safety. For this study, vehicle to vehicle crash data of 116 rural 3 legs unsignalized were collected and field surveys were conducted for traffic and geometric conditions. Ordered probit models were developed to analyze the severity of crashes. It was found that weather, obstacles in minor roadsides, presence of major exclusive right lane, presence of major road crosswalk, difference between posted speed of major road and minor road, land-use around intersections, shoulder width of major road, ADT of major road are significant factors for intersection safety.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.5
• /
• pp.1263-1272
• /
• 2016

Product array approach which is used in the Taguchi parameter design has a number of advantages by considering the noise factor. However, a disadvantage of this method is that it requires an excessively large number of experiments. So combined array approach have been proposed to reduce the number of experiments. Taguchi has used the signal-to-noise ratio to find the optimum conditions in the Taguchi parameter design. In analyzing the data from the parameter design various problems tends occur by using an SN. In this paper, we propose an alternative solution for reducing the number of experiments without depending on the signal-to-noise ratio to overcome the shortcomings of the parameter design. Two examples illustrate this procedure in the two different experimental design (product array, combined array) approaches.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.3
• /
• pp.191-195
• /
• 2013

This paper proposes an automatic method for discovering cross-lingual links from English Wikipedia documents to Korean ones in order to increase connectivity among vast web resources. Compared to the existing methods roughly estimating link probability of phrases, candidate anchors are selected from English documents by using various information such as title lists and linking probability extracted from Wikipedia dumps and the results of named-entity recognition, and the anchors are translated into Korean words, and then the most suitable Korean documents with the words are selected as cross-lingual links. The experimental results showed 0.375 of MAP.

• The Journal of the Korea Contents Association
• /
• v.7 no.7
• /
• pp.1-10
• /
• 2007

In this paper, we propose an indexing method for efficiently updating current positions of moving objects on road networks. The existing road network models increase update costs when objects move to adjacent road segments because their connectivity is not preserved. We propose an intersection based network model and a new index structure to solve this problem. The proposed intersection based network model preserves network connectivity through splitting road networks to contain intersection nodes always. The proposed index structure In our experiments, we show that our method is about 3 times faster than an existing index structure in terms of update costs.