• Korean journal of communication and information
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• v.52
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• pp.177-202
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• 2010

IPTV has been drawing attention as a representative convergence media. The analysis of the convergence media, as like IPTV, requires an investigation into the use perception and multidimensional factors. So this research examines the IPTV usage, based on the Technology Acceptance Model. The analysis was made with the 500 users, based on the online survey. The first results is concerned with the user characteristics. A positive influential relationship between the user characteristics and use perception was confirmed, along with the individual attribute and environmental influence. The second, 'perceived ease of use' was found to positively influence 'perceived usefulness' and 'perceived playfulness'. This finding suggests that it is an important diffusion strategy to enhance the ease of use of IPTV. The third is the emphasis of playfulness of IPTV. Since IPTV is multimedia, playfulness played a significant role in diffusing IPTV. The application of the TAM to the media analysis of IPTV, which reflects the environments of the convergence media and use perception, was successful in drawing a significant outcome.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.169-183
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• 2010

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.917-924
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• 2015

In this study, we study that the video attributes captured by built-in camera in smart-phone can effect on the quality of PPG signal. The conditions of video attributes were composed of the bitrate, the resolution, the flash. As each condition, we measured a change in the red value of the video image and calculated a PPI(Pulse to Pulse Interval) for extracting the pulse wave signal. 20 subjects participated in the experiment and this experiment was carried out 18 tasks. The PPG signal was measured simultaneously for two minutes with the PPG sensor in the middle finger and Smart-phone in the forefinger of the right hand. By proceeding the correlation analysis, we obtained the highest correlation condition(83%, p=0.01), which the resolution was $640{\times}480$, bitrate was 5000kbps, flash was on. As a result, this study will be a useful guide for quality of signals in the pulse signal measurement system using built-in camera in smart-phone.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.459-470
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• 2003

It is required to research on high-dimensional index structures for efficiently retrieving high-dimensional data because an attribute vector in data warehousing and a feature vector in multimedia database have a characteristic of high-dimensional data. For this, many high-dimensional index structures have been proposed, but they have so called ‘dimensional curse’ problem that retrieval performance is extremely decreased as the dimensionality is increased. To solve the problem, the cell-based filtering (CBF) scheme has been proposed. But the CBF scheme show a linear decreasing on performance as the dimensionality. To cope with the problem, it is necessary to make use of parallel processing techniques. In this paper, we propose a parallel CBF scheme which uses a horizontally-partitioned technique as declustering. In order to maximize the retrieval performance of the proposed parallel CBF scheme, we construct our parallel CBF scheme under a SN (Shared Nothing) cluster architecture. In addition, we present a data insertion algorithm, a rage query processing one, and a k-NN query processing one which are suitable for the SN cluster architecture. Finally, we show that our parallel CBF scheme achieves better retrieval performance in proportion to the number of servers in the SN cluster architecture, compared with the conventional CBF scheme.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.364-373
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• 2014

The relationship between a service provided via the information system and user satisfaction has been thought of as an important factor for the development of a new service for the information system. In this study, the twelve new key services that are applicable to national R&D report system were derived by web environment changes in step with IT technology developments in order to support the new service for the user. The twelve new key services are as follows; semantic search service for national R&D report, associated report service, RSS service, mesh-up service, topic-map service, open API service, personalized service, collective intelligence service, SNS service, unstructured data service, detailed search service, mailing service. To assess the quality attribute of the twelve new key services in the national R&D report system, a survey was performed. In conclusion, a stepwise service plan for the national R&D report system was proposed which would use the satisfaction coefficient and the results of the service classification. The following step-by-step service should be developed by in this way. The unstructured data service, personalized service, associated report service, topic-map service, open API service, and the collective intelligence service are needed to develop the first step and RSS service, mesh-up service, semantic search service for the national R&D report, mailing service, detailed search service, and SNS service are needed to develop the second step.

• Journal of Distribution Science
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• v.12 no.2
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• pp.49-57
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• 2014

Purpose - Theorists and researchers in the area of customer satisfaction generally agree that product satisfaction intervenes between expectancy disconfirmation and various post-purchase cognitive states including attitude and behavioral intention. Studies in a variety of settings have supported the effect of expectation and its disconfirmation on satisfaction, but only a small number of studies address the cognitive consequences of satisfaction decisions and none report data on choice processes such as brand selection. This study examines the influence of satisfaction and its determinants on behavioral intention and product preference in eight coffee shops across the country. Generally it was found in both overall and summed attribute analyses that satisfaction was a function of expectation and disconfirmation, that intention was a function of satisfaction, and that preference was influenced by satisfaction and disconfirmation, the latter having the greater effect. Research design, data, and methodology - The main objective of this study was to assess the dimensions of consumer selection and satisfaction in choosing a coffee shop. In order to achieve this objective, a study of coffee shops across the country was conducted. This study comprised in-depth questionnaires distributed to coffee shop customers. A survey was conducted from September 1, 2011 to September 30, 2011, involving franchise coffee shop, independently owned coffee shop, and roastery coffee shop customers. Results - Hypothesis 1-1, which states that coffee shop choice attributes differ based on the type of coffee shop, is accepted. It has a significance level of 0.05, according to choosing properties of coffee shop by convenience of transportation, varieties of beans, residence of the owner (manager), information, and relationships. Hypothesis 1-2, which states that satisfaction with the choice factor differs depending on the type of coffee shops, is accepted. The P-values for cleanliness and varieties of beans were 0.04 and 0.00, respectively, and have a significance level of 0.05, according to the satisfaction with the chosen coffee shop. Hypothesis 2-1, which states that the importance of the choice attributes in coffee shop selections differs based on the demographic characteristics of the customers, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Hypothesis 2-2, which states that satisfaction with the choice factor will differ depending of the type of coffee shop, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Conclusions - This study has shown that intention to revisit a certain shop is most likely correlated to satisfaction in all cases. In order to offer subsequent developments for coffee shops, this study also identifies relations between customer satisfaction and selection by finding significant factors. In order to maximize customers' satisfaction, coffee shops should analyze and satisfy customers' needs and wants in terms of coffee service. While the findings do not generalize beyond the mall sampling procedure used here, we have hopefully identified a close approximation of the process of satisfaction decisions used by consumers generally.

• Journal of KIISE:Software and Applications
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• v.33 no.4
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• pp.365-377
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• 2006

Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein interaction is intrinsic to most cellular processes, prediction of protein interaction is an important issue in post-genomic biology where abundant interaction data have been produced by many research groups. In this paper, we present an associative feature mining method to predict implicit protein-protein interactions of Saccharomyces cerevisiae from public protein interaction data. We discretized continuous-valued features by maximal interdependence-based discretization approach. We also employed feature dimension reduction filter (FDRF) method which is based on the information theory to select optimal informative features, to boost prediction accuracy and overall mining speed, and to overcome the dimensionality problem of conventional data mining approaches. We used association rule discovery algorithm for associative feature and rule mining to predict protein interaction. Using the discovered associative feature we predicted implicit protein interactions which have not been observed in training data. According to the experimental results, the proposed method accomplished about 96.5% prediction accuracy with reduced computation time which is about 29.4% faster than conventional method with no feature filter in association rule mining.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.51-71
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• 2017

This study conducted a survey to measure recognition distance between the materials which are located separately in a children's library targeting 200 elementary school lower grade students, higher grade students, and school parents(adults). And compared recognition distance between the elements of materials of individual visitor group with multidimensional scaling and K-mean group analysis. Multidimensional Scaling (MDS) is a technique for projecting the cognitive state in space by evaluating the similarity or attribute of the analysis target. Even though it is mainly used for market diagnosis in marketing, It can also be applied to present an ideal physical layout plan by analyzing the distance. As a result of analysis, the main discoveries are as follows. First, elementary school students cognize child, baby and computer materials should be adjacent as a same group. But recognition of adults(school parents) is reflected by differing from elementary school students vastly. They cognize that computer materials should be formed as a special group separated from child and baby's materials. Second, elementary school higher graders and adults(school parents) groups also want to separate their main reading materials from baby's book, therefore They both want to secure silent reading space separating from baby. Third, as a result to confirming how this recognition distance system of materials is reflected in a real children's library through three children's libraries in Y-gu, Incheon, there is no library with structure according perfectly with a recognition system of a particular class, but a recognition system of adults and elementary school students is partially reflected because baby, child and computer materials, and baby and child materials are commonly separated and placed. It is difficult to insist that a recognition system of a visitor group, especially a recognition system of children is absolute consideration conditions in material placement of a children's library. However, understanding cognition of the user groups can be an important evidentiary factors to offer differentiated service space according to visitors and effective placement of the elements of library resources.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.194-205
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• 2006

The purpose of this study is to develop a pedestrian multi-agent model and simulation system using multi-agent theory, which may be utilized as a planning support system for building a comfort and safe environment of pedestrian street. Differing from existing pedestrian models, however, every single pedestrian was regarded as an individual agent in the model. Multiple agents like multiple pedestrians in the street then maintain their own characteristics and respond to surrounding environment. In addition their moving behavior are made by their own decision rules that they have or had acquired through the interactive communications or learning between agents like real world. After verifying the model validation, as the $R^2$ between the predicted value and observed value was up to 0.781, the developed model was applied to Gazwa district within Gyeongsang university village. The simulation system was developed by Flash MX action scripts and the physical environment of the streets was configured with the digital map and ArcGis within computer virtual space. The attribute data of buildings such as type and size of commercial business were collected through the field survey and combined with physical features. Then the effect of the variation of building attractiveness and the occurrence of street events to pedestrian environment were simulated. Through the experiments this study could make suggestions to improve pedestrian environment.

• Management & Information Systems Review
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• v.33 no.5
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• pp.1-34
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• 2014

This study suggests internal and external virtuous behavior in organization influenced employees' organizational citizenship behavior (OCB), organizational loyalty and emotional exhaustion through mediated effect of affective commitment and collective self-esteem. Virtue in organization has received attention as critical attribute of positive organizational scholarship. Cameron(2003) defined the study of virtue as a study of the capacity, attributes, and reserve in organization that facilitates the expression of positive deviance among organization member. Accordingly, this study presumed that virtuous behaviors within organization positively associate with OCB, and organizational loyalty through affective commitment whereas the virtuous behaviors negatively influence emotional exhaustion. On the other hand, we assumed that external virtuous behaviors positively associate with OCB and organizational loyalty and negatively associate with emotional exhaustion individually. In study 1, we conducted interview with Korean employees created items for internal and external virtue, and implemented empirical study for 253 employees of domestic companies in study 2. This study contributes to the empirical investigation on how internal virtue (i.e. the employees' virtue for their organization) and external virtue (i.e. the organization's virtue for society), used as independent variables, influence employees' organizational citizenship behavior (OCB), organizational loyalty and emotional exhaustion after creating items for the two virtuous behaviors through qualitative research.