• Journal of KIISE:Software and Applications
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• v.28 no.7
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• pp.501-510
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• 2001

Generally, it is essential to estimate exact disparity for the 3D modeling from stereo images. Because existing methods calculate disparities from a whole image, they require too much cimputational time and bring about the mismatching problem. In this article, using the characteristic that the disparity vectors in stereo images are distributed not equally in a whole image but only exist about the background and obhect, we do a wavelet transformation on stereo images and estimate coarse disparity fields from the reduced lowpass field using area-based method at first-step. From these coarse disparity vectors, we generate disparity histogram and then separate object from background area using it. Afterwards, we restore only object area to the original image and estimate dense and accurate disparity by our two-step pixel-based method which does not use pixel brightness but use second gradient. We also extract feature points from the separated object area and estimate depth information by applying disparity vectors and camera parameters. Finally, we generate 3D model using both feature points and their z coordinates. By using our proposed, we can considerably reduce the computation time and estimate the precise disparity through the additional pixel-based method using LOG filter. Furthermore, our proposed foreground/background method can solve the mismatching problem of existing Delaunay triangulation and generate accurate 3D model.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.91-102
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• 2015

This study examined the factors that affect the relationship among coffee barista employees job stress, job satisfaction and customer organizational loyalty. A total of 200 questionnaires were distributed to consumers, of which 188 were deemed suitable for analysis after the removal of 12 unusable responses. In order to perform statistical analyses required by the study, the SPSS 18.0 Statistical Program was employed for frequency, factor, reliability correlation, and regression analyses. The results of exploratory factor analysis showed that three factors regarding job stress were extracted from all measurements with a KMO of 0.714 and a total cumulative variance of 64.368%, with regards to job satisfaction, three factors were extracted with a total cumulative variance of 151.612% and a KMO score of 0.659. One factor for organizational loyalty was extracted that accounted for a total cumulative variance of 62.102% and a KMO score of 0.750. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationships among job stress, job satisfaction and organizational loyalty was partially adopted.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.331-340
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• 2015

This study examined the factors that affect the relationship among functional bakery purchase motivation, consumer attitudes, and purchase intention. A total of 230 questionnaires were distributed to the consumers, of which 210 were deemed suitable for analysis after the removal of 20 unusable responses. In order to perform statistical analyses required in current study, SPSS 18.0 statistical program was employed for frequency analysis, factor analysis, and reliability analysis, Correlations, regression analysis. The results of exploratory factor analysis showed that four factors regarding local specialties purchase motivation were extracted from all measurements with a KMO of 0.735 and a total cumulative variance of 65.759%, with regard to consumer attitudes, one factors were extracted with a total cumulative variance of 72.421% and a KMO score of 0.684. One factor for purchase intention was extracted that accounted for a total cumulative variance of 67.139% and a KMO score of 0.683. All factors were significant and the correlation between variables was significant as well. Thus, based on the results, the main research hypothesis that identifies the relationships purchase motivation between consumer attitudes and purchase intention were partially adopted.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.28-37
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• 2015

This study examined the factors that affect the relationship between window bakery employee psychological capital l, job satisfaction and customer orientation. A total of 220 questionnaires were distributed to employees, of which 205 were deemed suitable for analysis after the removal of 15 unusable responses. In order to perform statistical analyses required by the study, the SPSS 18.0 Statistical Program was employed for frequency, facto, reliability, correlations, and regression analyses. The results of exploratory factor analysis showed that four factors regarding psychological capital were extracted from all measurements with a KMO of 0.780 and a total cumulative variance of 66.633%, With regard to job satisfaction, one factors was extracted with a total cumulative variance of 61.592% and a KMO score of 0.658. One factor for customer orientation was extracted that accounted for a total cumulative variance of 64.240% and a KMO score of 0.765. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationships that psychological sapital with job satisfaction and customer orientation was adopted.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.22-32
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• 2016

This study examined the factors that affect the relationship between job characteristics, job satisfaction and turnover intention. A total of 300 questionnaires were distributed to bakery workers, of which 279 were deemed suitable for analysis after the removal of 21 unusable responses. In order to perform statistical analyses required in the study, AMOS and SPSS 18.0 statistical software were employed for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding local specialties job characteristics were extracted from all measurements with a KMO of 0.766 and a total cumulative variance of 67.905%. With regard to job satisfaction, one factor was extracted with a total cumulative variance of 64.955% and a KMO score of 0.733. One factor for turnover intention was extracted that accounted for a total cumulative variance of 64.689% and a KMO score of 0.760. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationships among job characteristics, job satisfaction and turnover intention was partially adopted.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.33-43
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• 2016

This study examined the factors that affect the relationship between consumption value, bakery select properties and satisfaction. A total of 320 questionnaires were distributed to consumers, of which 300 were deemed suitable for analysis after the removal of 20 unusable responses. In order to perform required statistical analyses in the study, the SPSS 18.0 Statistical Program was used for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding consumption value were extracted from all measurements with a KMO of 0.841 and a total cumulative variance of 72.937%, With regard to bakery select property, one factor was extracted with a total cumulative variance of 64.917% and a KMO score of 0.756. One factor for satisfaction was extracted that accounted for a total cumulative variance of 76.944% and a KMO score of 0.719. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationship between consumption value, bakery select property and satisfaction was partially adopted.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.45 no.10
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• pp.17-28
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• 2008

Rapid transmission of packets is important in mobile ad hoc networks. Therefore, a flooding algorithm which can guarantee a short delay is useful in various ways of packet transmission. Flooding algorithm is one of the packet transmission methods that broadcasts a packet to all nodes within a transmission range. It does not rebroadcast the same packet which is already received from other nodes. Basically, flooding algorithm's advantages are that it simply writes an address and a sequence number in a packet, and it can be adapted for topological changes easily. However, the basic flooding algorithm has a shortcoming that causes excessive traffic because all nodes transmit a packet at least once. To solve this problem, research about flooding algorithms that constrains duplicated transmission of packets based on probabilistic and geographical information is going on. However, the existing algorithm cannot guarantee short delay and low traffic. To reduce a delay, in this paper we propose a flooding scheme where a node which receives a broadcasted packet chooses and allocates a priority to one of its neighbor nodes and then the node transmits the packet promptly to the node to whom the priority was given. Moreover, we propose a totally fresh a roach to constrain duplicated transmission by searching a node that already received the same packet by using node's geographical position information. Lastly, we compare the performance of the proposed algorithm with the existing algorithm through simulation. The results show that the proposed algorithm can distribute packets through a lower number of total packet transmissions and faster delivery time than the existing algorithm.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.29-39
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• 2015

This study examined the factors that affect the relationship among local specialties food quality, value perception and customer behavioral intention. A total of 280 questionnaires were distributed to consumers, of which 268 were deemed suitable for analysis after the removal of 12 unusable responses. In order to perform statistical analyses required for the study, SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, and reliability analysis. The results of the exploratory factor analysis showed that three factors regarding local food specialties quality were extracted from all measurements with a KMO of 0.827 and a total cumulative variance of 65.638%. With regard to value perception, six factors were extracted with a total cumulative variance of 59.855% and a KMO score of 0.782. One factor for behavioral intention was extracted that accounted for a total cumulative variance of 64.427% and a KMO score of 0.757. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationships between value perception and behavioral intention was partially adopted.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.373-380
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• 2018

The purpose of this study was to know the effects of teaching behavior type of expression activity class on flow and competence in elementary school. The subject for this research consisted of elementary students located in Busan were selected as a population. The sampling method was convenience sampling out of non-probability sampling method. A total of 300 questionnaires were distributed and 280 copies were collected back. Out of those returned questionnaires, insincerely replied or double-replied questionnaires were excluded and finally 216 questionnaires were analyzed for this study. Collected data were put to frequency analysis, exploratory factor analysis reliability analysis, correlation analysis, and multiple regression analysis using the SPSS Win Ver. 22.0 program. The results of these analyses are as follows. First, the commanding type, the autocratic type, the democratic type and the reward type which are the subordinate variables of the teaching behavior type, were all found to have significant effects on the flow. Second, the democratic type and the reward type which are the subordinate variables of the teaching behavior type, were found to have significant effects on the competence. But, the commanding type and the autocratic type which are the subordinate variables of the teaching behavior type, were not found to have significant effects on the competence. Third, the flow were found to have significant effects on the competence.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.1
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• pp.73-80
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• 2010

The optimal design of water distribution system have started with the least cost design of single objective function using fixed hydraulic variables, eg. fixed water demand and pipe roughness. However, more adequate design is accomplished with considering uncertainties laid on water distribution system such as uncertain future water demands, resulting in successful estimation of real network's behaviors. So, many researchers have suggested a variety of approaches to consider uncertainties in water distribution system using uncertainties quantification methods and the optimal design of multi-objective function is also studied. This paper suggests the new approach of a multi-objective optimization seeking the minimum cost and maximum robustness of the network based on two uncertain variables, nodal demands and pipe roughness uncertainties. Total design procedure consists of two folds: least cost design and final optimal design under uncertainties. The uncertainties of demands and roughness are considered with Latin Hypercube sampling technique with beta probability density functions and multi-objective genetic algorithms (MOGA) is used for the optimization process. The suggested approach is tested in a case study of real network named the New York Tunnels and the applicability of new approach is checked. As the computation time passes, we can check that initial populations, one solution of solutions of multi-objective genetic algorithm, spread to lower right section on the solution space and yield Pareto Optimum solutions building Pareto Front.