• The Research Journal of the Costume Culture
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• v.21 no.6
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• pp.891-906
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• 2013

In this study, we identified the factors of perceived interactivity and verified the path model of effects of these factors on mobile fashion shopping purchase intention through perceived usefulness and perceived ease of use. To develop the conceptual model, we consulted the related precedent studies and searched various kinds of literatures. To verify the conceptual model, we conducted the survey targeting smartphone users in their 20s~30s and analyzed the structural equation model using AMOS 16.0. The results were as follows. Control, responsiveness and two-way communication, and contextual offer were identified as the factors of perceived interactivity. Perceived interactivity and perceived ease of use had positive effect on perceived usefulness. Perceived usefulness affected attitude toward purchase, and attitude toward purchase influenced positively on purchase intention. Perceived usefulness affected purchase intention directly as well as indirectly through attitude toward purchase. Based on the results, we proposed the marketing strategies for mobile fashion shopping businesses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3823-3840
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• 2020

Recently, auto-encoder has emerged as the most popular method in convolutional neural network (CNN) based image compression and has achieved impressive performance. In the traditional auto-encoder based image compression model, the encoder simply sends the features of last layer to the decoder, which cannot allocate bits over different spatial regions in an efficient way. Besides, these methods do not fully exploit the contextual information under different receptive fields for better reconstruction performance. In this paper, to solve these issues, a novel auto-encoder model is designed for image compression, which can effectively transmit the hierarchical features of the encoder to the decoder. Specifically, we first propose an adaptive bit-allocation strategy, which can adaptively select an importance channel. Then, we conduct the multiply operation on the generated importance mask and the features of the last layer in our proposed encoder to achieve efficient bit allocation. Moreover, we present an additional novel perceptual loss function for more accurate image details. Extensive experiments demonstrated that the proposed model can achieve significant superiority compared with JPEG and JPEG2000 both in both subjective and objective quality. Besides, our model shows better performance than the state-of-the-art convolutional neural network (CNN)-based image compression methods in terms of PSNR.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3598-3614
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• 2020

With the increase of motor vehicles and tourism demand, some traffic problems gradually appear, such as traffic congestion, safety accidents and insufficient allocation of traffic resources. Facing these challenges, a model of Spatio-Temporal Dilated Convolutional Network (STDGCN) is proposed for assistance of extracting highly nonlinear and complex characteristics to accurately predict the future traffic flow. In particular, we model the traffic as undirected graphs, on which graph convolutions are built to extract spatial feature informations. Furthermore, a dilated convolution is deployed into graph convolution for capturing multi-scale contextual messages. The proposed STDGCN integrates the dilated convolution into the graph convolution, which realizes the extraction of the spatial and temporal characteristics of traffic flow data, as well as features of road occupancy. To observe the performance of the proposed model, we compare with it with four rivals. We also employ four indicators for evaluation. The experimental results show STDGCN's effectiveness. The prediction accuracy is improved by 17% in comparison with the traditional prediction methods on various real-world traffic datasets.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.10
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• pp.407-420
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• 2014

In general, the Korean morpheme analysis procedure is divided into two steps. In the first step as an ambiguity generation step, an Eojeol is analyzed into many morpheme sequences as candidates. In the second step, one appropriate candidate is chosen by using contextual information. Hidden Markov Model(HMM) is typically applied in the second step. This paper proposes Sub-word Conditional Probability(SCP) model as an alternate algorithm. SCP uses sub-word information of adjacent eojeol first. If it failed, then SCP use morpheme information restrictively. In the accuracy and speed comparative test, HMM's accuracy is 96.49% and SCP's accuracy is just 0.07% lower. But SCP reduced processing time 53%.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.29-57
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• 2014

This study aims to develop a metadata schema for sports moving records based on a multiple entity model as an attempt to suggest an effective way to manage, retrieve, and utilize sports moving records. The multiple entity model consists of four entities - sports match, match contributors, moving records, and record management business - and metadata elements were developed for each entity. In addition, authority records for sports team and persons were created to ensure the consistency of terminology and provide rich contextual information. The suggested multiple entity model, metadata elements, and authority records for sports teams and persons were verified, modified, and expanded by a group of experts including a sports marketing expert and professors in the sports department.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.145-155
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• 2020

Since Campbell (1990) proposed multidimensionality of job performance, unlike the single structure of traditional job performance, it has been largely classified as task performance, contextual performance, and counterproductive work behavior. The objective of this study is to validate the threecriteria currently considered major aspects of job performance, to identify different types of performance based on three dimensions, and to compare the power of personality factors among performance types. A total of 681 employees working at various organizations participated in an on-line survey. The survey included boththe exploratory and confirmatory factor analyses. A 3-factor job performance model consisting of three dimensions was also included. The relationships between performance dimensions and personality factors differedby dimensions of performance, supporting the validity of the 3-factor structure of performance.The results of the Latent Profile Analysis identified four types of performance: exemplary, moderately conscientious moderate, and conscientious, butlow.. The Multinomial logistic regression analysis showed each type differed significantly according to the predictors of personality variables. In conclusion, implications and limitations of the study were noted.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.293-303
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• 2019

The purpose of this research is to investigate the psychological factors affecting job performance of public enterprise employee. Based on the literature review, three types of job performance are identified, which are behavioral responses to the demands from job environment. They are named as task performance, contextual performance, and adaptive performance. As independent variables, four factors were selected form positive psychological concepts, which are self-efficacy, hope, optimism, and resilience. These are the factors which compose of the concept of psychological capital. All the factors are hypothesized to positively affect job performances. From the regression analysis results, all the psychological factors in the model were turned out to have statistically significant impacts on the job performances. The importance of variable 'resilience' were dominant all three models, which might be interpreted as a behavioral response to the demands from uncertain organizational enviornments. From the marginal effect analysis, contextual performance decreases first five years, then reach peak at 20th. year. These results demonstrates that mid-level employees in the organizational hierarchy are more concerned with the overall performance of organization.

• Korean Journal of Human Ecology
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• v.22 no.4
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• pp.619-635
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• 2013

The purpose of the study was to qualitatively analyze how entrepreneurs would succeed in business from the consumer perspective of entrepreneurial. In particularly, this study understood what has made the entrepreneurs do their own business, learning contextual and mediating conditions. In order to achieve the research goals, the study conducted in-depth interviews to a total of 11 entrepreneurs and based on data from the interviews, carried out a grounded theory analysis. According to the results, the successful entrepreneurship process paradigm model from the consumer perspective of entrepreneurial was observed with some central phenomenon, 'change of course', via casual circumstances as 'self-realization' and 'material value realization.' For the contextual conditions, there found 'anxiety for survival', 'organic motive', 'confidence in a market' and 'relational role element' as well. The interaction strategies consisted of 'internal capability improvement', 'internal and external activity directivity growth' and 'marketability judgement ability.' The mediating conditions were observed to be 'strategic cognition improvement' and 'growing of desire to succeed'. The analysis results reported that there were two different aspects as 'increase of stable dailiness' and 'productivity enlargement'. In terms of the core category, it was 'securing of stable dailiness and competitiveness in the market as well by developing characteristics and abilities of an individual for the life value realization.' Those results confirmed that once pleasure and satisfaction in daily life increase, the confidence of the entrepreneurs improves too, which would encourage them to continue the business.

• Journal of the Korean School Mathematics Society
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• v.17 no.1
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• pp.23-43
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• 2014

This study aims to develop strategies for improving the affective characteristics of Korean students based on results from international achievement tests. In pursuing the goal, different research methods are employed including a) analysis of the theories and literature regarding the affective domains included in PISA and TIMSS studies; b) analysis of the current situation and needs of Korean students with respect to the affective factors based on PISA and TIMSS results; c) case studies of best practices in relation to students' affective domains in Korea and abroad; and d) development of strategies for improving and supporting Korean students' affective characteristics. Especially, this paper describes meta-analyses of the results from the previous PISA and TIMSS studies. Afterwards, it reports statistical analyses results on the relationship between students' affective achievements and educational context variables. Data from TIMSS 2011, TIMSS 2007, PISA 2006, and PISA 2003 are used for the analyses, and contextual variables are selected through rigorous statistical analyses including frequency and correlation, and expert consultation. The effects of educational contextual variables on students' affective achievement in mathematics and science are analyzed through Hierarchical Linear Model.

• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1509-1520
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• 2009

Contrary to ubiquitous environments, indoor computing environments like home network doesn't support user mobility. This paper suggests UPnP A/V multimedia system using prediction of mobility for adaption of seamless multimedia service. The multimedia system enables indoor mobile users to play multimedia contents by transferring the current session to an adjacent device automatically. The system represents users' contextual information by Five Ws and One H model, and predicts user's movements by using contextual information and transitions of locations. The prediction basically includes multiple locations so that it improves accuracy of prediction. We evaluated the suggested system using in accuracy of prediction, time for prediction, handover time for service, and the system showed that adapt ion of seamless multimedia service was enabled by using prediction of mobility on mobile user.