• The Korean Journal of Franchise Management
• /
• v.11 no.1
• /
• pp.31-44
• /
• 2020

Purpose: The baby boomers and the millennials, who make up the largest share of the market, are showing the gap in their differentiated cultural styles. The purpose of this study is to study the consumption propensity and purchasing determinants of the baby boomers generation and the millennials generation, which have become a very important key pillar in shaping the market based on the cultural dimension model theory of h(=>H)opstead, and to identify the difference Research design, data, and methodology: In order to verify the research hypotheses, The data was collected from the baby boomers and the millennials using online questionnaires. The pre-test was conducted from October 10 to 12, 2019, and the main survey was conducted from October 15 to 25. A total of 230 copies were recalled, and the final 219 copies were used for the final analysis. Results: The consumption propensity between the baby boomers and the millennials differed in resource saving purchase propensity and impulse buying propensity. The baby boomers showed higher resource saving purchase propensity than the millennials, while the millennials showed higher impulse buying propensity. There was a difference in the determinants to purchasing only in the evaluation factor. Results of gender differences by generation, baby boomers differed in their planned purchase propensity, and women were higher. The millennials generation differed in resource saving purchase propensity and awareness propensity for others, all higher in men. In determinants to purchasing, the baby boomers did not differ in gender, and the millennials did differ in product factors. A canonical correlations analysis of the relationship between the baby boomers and the millennials showed a significant relationship between consumption propensity and determinants to purchasing. Also, the baby boomer generation has the biggest link between impulse buying propensity and evaluation factor. The millennials generation showed the biggest link between resource saving purchase and product factors. Conclusions: This study compared consumption propensity and determinants to purchasing of baby boomers and millennials on the basis of Hopstead's cultural dimension model theory to identify differences between generations, presenting practical and theoretical implications for establishing a correct understanding and specific marketing strategy among generation.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.11
• /
• pp.245-253
• /
• 2020

This study is a longitudinal analysis of the life satisfaction of Generation X and Generation Y, with different historical backgrounds, growth backgrounds, values, and lifestyles, using data from the Korean Welfare Panel(KOWEPS). The research data is from the KOWEPS 1st year(2006) to 14th year(2019), out of 27,301 people, who conducted life satisfaction from the latest 12th to 14th year, and the responses were properly answered data from 3 years of 2,492 were used. As a result of the study, the higher the life satisfaction of both Generation X and Generation Y, the more the life satisfaction slowly increases at a slower rate as time passes. In addition, in terms of life satisfaction and rate of change, the initial value of life satisfaction was higher as the living satisfaction increased in both Generation X and Generation Y, but in the case of Generation X, the higher living satisfaction, the lower the rate of change in life satisfaction for 3 years by .327, in the case of Generation Y, the rate of change in life satisfaction was not affected. Finally, in the model of this study, a partial mediation of health condition was established between living satisfaction and life satisfaction tendency. Living satisfaction was analyzed to have a direct effect on life satisfaction and at the same time indirectly with a health condition as a parameter.

• Journal of computational fluids engineering
• /
• v.20 no.2
• /
• pp.23-36
• /
• 2015

The $2^{nd}$ generation ice accretion analysis program has been developed and validated for various icing conditions. The essential feature of the $2^{nd}$ generation code lies in its capability of handling general 3-D geometry and improved accuracy. The entire velocity fields are obtained based on Navier-Stokes equations in order to take the massively separated flow field into account. Unlike $1^{st}$ generation code, the droplet trajectories are calculated using Eulerian approach, which is adopted to yield appropriate collection efficiency even in the shadow region. For improved thermodynamic analysis on the surfaces, water film model and modified Messinger model are newly included in the present analysis. The ice shape for a given time step is obtained by considering the exact amount of ice accreted on the surface. Each module of the icing analysis code has been seamlessly integrated on the OpenFOAM platform. The developed code was validated against available experimental data for 2D airfoils and 3D DLR-F4. Due to the lack of experimental data, the computed results of DLR-F4 were compared with those obtained from FENSAP-ICE, which is state-of-the-art 3D icing analysis code. It was clearly shown that the present code produces comparable results to those of FENSAP-ICE, in terms of prediction accuracy and the capability of handling general 3-D geometries.

• Journal of the Society of Naval Architects of Korea
• /
• v.34 no.2
• /
• pp.85-89
• /
• 1997

The development of the algorithm and the computer aided marking data generation system based on it should precede the automation system for plate forming by line heating method. This paper places emphasis on the yard simulation for a real surface model to justify the algorithm and the computer aided marking data generation system which have been already developed. The yard simulation has been carried out according to the generated marking data and the heating condition produced by the developed computer aided system. The practical applicability of the developed computer aided system has been conformed by comparing the results of the computer simulation to the results of the yard simulation. This paper ends with the extension of the developed marking data generation system.

• The Journal of the Korea Contents Association
• /
• v.20 no.3
• /
• pp.267-274
• /
• 2020

Click-through rate (CTR) prediction is an estimate of the probability that a user will click on a given item and plays an important role in determining strategies for maximizing online ad revenue. Recently, research has been performed to utilize CNN for CTR prediction. Since the CTR data does not have a meaningful order in terms of correlation, the CTR data may be arranged in any order. However, because CNN only learns local information limited by filter size, data arrays can have a significant impact on performance. In this paper, we propose a multi-array CNN model that generates a data array set that can extract all local feature information that CNN can collect, and learns features through individual CNN modules. Experimental results for large data sets show that the proposed model achieves a 22.6% synergy with RI in AUC compared to the existing CNN, and the proposed array generation method achieves 3.87% performance improvement over the random generation method.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.8 no.1
• /
• pp.47-52
• /
• 2008

The visual implementation of 3-dimensional national environment is focused by the requirement and importance in the fields such as, urban planing, telecommunication facility deployment plan, railway construction, construction engineering, spatial city development, safety and disaster prevention engineering. The currently used DEM system based on the 2-D digital maps and contour lines has limitation in implementation in reproducing the 3-D spatial city. Currently, the LiDAR data which combines the laser and GPS skill has been introduced to obtain high resolution accuracy in the altitude measurement in the advanced country. In this paper, we first introduce the LiDAR based researches in advanced foreign countries, then we propose the data generation scheme and an solution algorithm for the optimal management of our 3-D spatial u-City construction. For this purpose, LiDAR based height data transformed to DEM, and the realtime unification of the vector via digital image mapping and raster via exactness evaluation is transformed to make it possible to trace the model of generated 3-dimensional model with long distance for 3D u-city model generation.

• Journal of Information Technology Applications and Management
• /
• v.12 no.4
• /
• pp.133-155
• /
• 2005

This Paper makes an attempt to suggest a process of automatically generating application software based on the Entity-Relationship model 1. The designer develops an E-R model of an real-world system. 2. The designer inputs the entity and relationship types, and attributes shown in the E-R model, and also the basic operations of the application system to the software generator. 3. The application generator produces database schema and link information between application programs, and then automatically generates a stereo-type application system. In order for the automated application generator to build the application system in a systematic way, four basic program generation rules have been suggested. A set of computer programs have been developed in order to show the applicability of the automated software generation process suggested in this paper. By following each rule with the generator, the designer can build an application in an efficient manner compared with traditional (manual programming) approaches. It has been demonstrated from the case study that the idea of applying an automated generator in systems development based upon the E-R model is feasible.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.4
• /
• pp.638-656
• /
• 2022

This study aimed to identify characteristics of Generation MZ's consumer purchase decision journey to develop the new fashion CDJ model. The initial stage was affected by habit, online community, social media, aesthetics, circumstantial need, and proxy. In the search and consideration stage, mobile channels were used actively. In the active search and evaluation stage, online media, experiential data, and personal information were employed. In the purchase stage, zoomers took plenty of time in search and evaluation before spending, contrary to millennials who made their purchases more quickly. In the post-purchase experience stage, zoomers actively displayed follow-up behaviors depending on their satisfaction, such as retaining or deleting the app. While, millennials did not turn away from the store or brand, but followed up on their purchases even when they had an unsatisfactory experience. Based on the characteristics of CDJ, iterative cycle CDJ models were developed. Zoomers CDJ model was presented as a search loop that consists of the search and evaluation process, in which information accumulates, and a purchase loop in which the actual purchase occurs. The iterative cycle CDJ model was presented connected to the loyalty loop as the main section, which is accelerated in millennials' CDJ model.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.12
• /
• pp.829-840
• /
• 2013

This paper proposes a modified RRT (Rapidly exploring Random Tree) algorithm utilizing a heuristic input analysis and suggests a test case generation method from Simulink/Stateflow model using the proposed RRT algorithm. Though the typical RRT algorithm is an efficient method to solve the reachability problem to definitely be resolved for generating test cases of model in a black box manner, it has a drawback, an inefficiency of test case generation that comes from generating random inputs without considering the internal states and the test targets of model. The proposed test case generation method increases efficiency of test case generation by analyzing the test targets to be satisfied at the current state and heuristically deciding the inputs of model based on the analysis during expanding an RRT, while maintaining the merit of RRT algorithm. The proposed method is evaluated with the models of ECUs embedded in a commercial passenger's car. The performance is compared with that of the typical RRT algorithm.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.7
• /
• pp.471-478
• /
• 2013

This paper proposes a black-box based test case generation method for Simulink/Stateflow model utilizing the RRT algorithm which is a method to efficiently solve the path planning for complicated systems. The proposed method in the paper tries to solve the reachability problem with the RRT algorithm, which has to be solved for black-box based test case generations. A major problem of the RRT based test case generation algorithms is that the cost such as running time and required memory size is too much for complicated Stateflow model. The typical RRT algorithm expands rapidly-exploring random tree (RRT) in a single state space. But the proposed method expands it in dynamic state space based on the state of Simulink model, consequently reducing the cost. In the paper, a new definition of RRT state space, a distance measure and a test case generation algorithm are proposed. The performance of proposed method is verified through the experiment against Stateflow model.