• Journal of the Korea Society of Computer and Information
• /
• v.26 no.7
• /
• pp.119-126
• /
• 2021

Due to the prolonged COVID-19, distance lectures are expected to continue for a considerable period of time. Research on factors affecting distance lecture quality and learner satisfaction is essential. The purpose of this study is to examine the relationship between distance lecture quality (system quality, information quality, service quality, interaction quality), self-efficacy, and learner satisfaction, and to suggest theoretical and practical implications for the effective operation of distance lectures. A survey was conducted for university students taking distance lectures, and 197 questionnaires were used for empirical analysis. The collected data were analyzed by SPSS 25.0 and AMOS 21.0. As a result; First, distance lecture quality (system quality, information quality, service quality, interaction quality) was found to have a positive effect on self-efficacy. Second, distance lecture quality (system quality, information quality, service quality, interaction quality) was found to have a positive effect on learner satisfaction. Third, self-efficacy was found to have a positive effect on learner satisfaction. Based on the analysis results, the implications and limitations of this study are presented.

• Knowledge Management Research
• /
• v.18 no.3
• /
• pp.163-178
• /
• 2017

Recent advances in technology are evolving to enable individuals to perform various activities necessary for their lives, without being constrained by physical, temporal, and spatial constraints. The online services and experiences that originated from solving the discomfort in the actual offline space have created the newness that can only be experienced in the digital world and furthermore uniquely new experiences in actual space as well. While many previous studies have suggested several interpretations of unique individual behaviors in virtual environments, a recent research approaches virtuality as an interesting perspective of the change of thinking style. Virtuality is defined as how far apart we are from everyday reality, and if the individual faces a situation far from reality, the psychological distance of the individual becomes distant and ultimately leads to the thinking style of high construal level. Otherwise, it is said to have a relatively low construal level of thinking style. In this study, I try to confirm the virtual distance as the role of psychological distance in new virtual contexts. Simultaneously considering temporal distance, which are most used in psychological distance, and virtual distance based on virtuality, this study tries to find whether the effect of virtual distance on product attitude is the same as that of temporal distance and check the relationship between virtual distance and temporal distance in the context of consumers' product evaluations depending on product information type.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.11
• /
• pp.137-145
• /
• 2014

This paper suggests an LDA-based long distance face recognition algorithm for intelligent surveillance system. The existing face recognition algorithm using single distance face image as training images caused a problem that face recognition rate is decreased with increasing distance. The face recognition algorithm using face images by actual distance as training images showed good performance. However, this also causes user inconvenience as it requires the user to move one to five meters in person to acquire face images for initial user registration. In this paper, proposed method is used for training images by using single distance face image to automatically create face images by various distances. The test result showed that the proposed face recognition technique generated better performance by average 16.3% in short distance and 18.0% in long distance than the technique using the existing single distance face image as training. When it was compared with the technique that used face images by distance as training, the performance fell 4.3% on average at a close distance and remained the same at a long distance.

• Journal of the Korean Institute of Educational Facilities
• /
• v.4 no.2
• /
• pp.5-12
• /
• 1997

Distance learning is becoming recognized as the key to meeting the needs of more people on more subjects with cost-effective way. The purpose of this paper was to review the literature and current information related to distance education. The topics include, the characteristics of distance education, definitions of distance education, various applications of distance education, and needs of distance education in our society. This paper focused on lastest technologies of distance education such as two-way videoconferencing, e-mail, and on-line classroom. Suggestions for the effective implementation in our educational environments that include, proper teacher training and as an interactivity of the distance education program were discussed.

• Journal of Information Processing Systems
• /
• v.11 no.4
• /
• pp.573-582
• /
• 2015

Edit distance metrics are widely used for many applications such as string comparison and spelling error corrections. Hamming distance is a metric for two equal length strings and Damerau-Levenshtein distance is a well-known metrics for making spelling corrections through string-to-string comparison. Previous distance metrics seems to be appropriate for alphabetic languages like English and European languages. However, the conventional edit distance criterion is not the best method for agglutinative languages like Korean. The reason is that two or more letter units make a Korean character, which is called as a syllable. This mechanism of syllable-based word construction in the Korean language causes an edit distance calculation to be inefficient. As such, we have explored a new edit distance method by using consonant normalization and the normalization factor.

• The Journal of Information Systems
• /
• v.29 no.2
• /
• pp.71-94
• /
• 2020

Purpose With the development of Social Network Service(SNS) and mobile devices, many companies have been using the Facebook as a Word-of-Mouth(WOM) channel. This study examines the effects of psychological distance and message type on WOM using the Facebook's real messages. And the moderating effect of the message type on the relationship between psychological distance and WOM was also analyzed. Design/methodology/approach A content analysis was used as a research method. A total 7,483 messages were collected from 50 companies' Facebook Fanpage (based on the ranking of socialbakers.com) and content analysis was conducted using human coding. As the influencing variables, the message type and psychological distance and the number of 'Likes', 'Share', and 'Comment' were used as the dependent variable. The R3.4.4 was used to perform descriptive statistics, cross-tab analysis, and analysis of variance(ANOVA). Findings First, a larger proportion of Facebook messages have close psychological distance for all message types(information, advertisement, event, and customer relationship). Second, 'Like' and 'Comment' number were significantly higher in messages of close psychological distance. Third, the effects of psychological distance on 'Like', 'Share', and 'Comment' number were different according to message type. However, 'advertisement' message type had significantly more numbers for all WOMs('Like', 'Share', and 'Comment') in messages with close psychological distance.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.2
• /
• pp.529-536
• /
• 2006

Investigators use either Euclidean distance or volume of a simplex defined composed of data points as agreement index to measure chance-corrected agreement among observers for multivariate interval data. The agreement coefficient proposed by Um(2004) is based on a volume of a simplex and does not depend on the variables' measuring units. We consider a comparison of Um(2004)'s agreement coefficient with others based on two unit-free distance measures, Pearson distance and Mahalanobis distance. Comparison among them is made using hypothetical data set.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.5C
• /
• pp.611-617
• /
• 2004

The optimum convolutional error correction codes for recently standardized Feher-patented quadrature phase-shift keying (FQPSK-B) modulation are proposed. We utilize the continuous phase modulation characteristics of FQPSK-B signals for calculating the minimum Euclidean distance of convolutional coded FQPSK-B signal. It is shown that the Euclidean distance between two FQPSK-B signals is proportional to the Hamming distance between two binary data sequence. Utilizing this characteristic, we show that the convolutional codes with optimum free Hamming distance is the optimum convolutional codes for FQPSK-B signals.

• Proceedings of the IEEK Conference
• /
• 1999.06a
• /
• pp.643-646
• /
• 1999

In this paper, we propose a feature extraction method based on Bhattacharyya distance for multiclass problems. The Bhattacharyya distance provides a valuable information in determining the effectiveness of a feature set and has been used as separability measure for feature selection. Recently, a feature extraction algorithm hat been proposed for two normally distributed classes based on Bhattacharyya distance. In this paper, we propose to expand the previous approach to multiclass cases. Experiment results show that the proposed method compares favorably with the conventional methods.

• Korean Journal of Mathematics
• /
• v.23 no.1
• /
• pp.1-10
• /
• 2015

This paper concerns the rate of convergence in the multidimensional normal approximation of functional of Gaussian fields. The aim of the present work is to derive explicit upper bounds of the Kolmogorov distance for the rate of convergence instead of Wasserstein distance studied by Nourdin et al. [Ann. Inst. H. Poincar$\acute{e}$(B) Probab.Statist. 46(1) (2010) 45-98].