• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.203-216
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• 2022

In the recent business environment, purchase patterns are changing around the influence of COVID-19 and the online market. This study analyzed cluster and correlation analysis based on purchase and product information. The cluster analysis of new methods was attempted by creating customer, product, and cross-bonding clusters. The cross-bonding cluster analysis was performed based on the results of each cluster analysis. As a result of the correlation analysis, it was analyzed that more association rules were derived from a cross-bonding cluster, and the overlap rate was less. The cross-bonding cluster was found to be highly efficient. The cross-bonding cluster is the most suitable model for recommending products according to customer needs. The cross-bonding cluster model can save time and provide useful information to consumers. It is expected to bring positive effects such as increasing sales for the company.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.27 no.4
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• pp.186-190
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• 2017

When a product is designed, user's requirements should be well analyzed and applied to the design so that the psychological and aesthetic factors of a product can be accurately conveyed to consumers. The essence of product development is to analyze the changes in the purchasing tendency of consumers and the needs of times, find out user experiences to apply to a design, and establish the objective of product development that well considers those. Designing should be recognized as one that designs even the sensitivity and experience created in the relationship with users, beyond the conventional notion of design that it draws the physical form of a product. As the subjects that design should consider have expanded like this, it has become important that today's design provides a new experience as well as simply develops formative elements based on the functions of an object. As a result, it becomes impossible to accomplish such objective only with the traditional design process that existing designers have stuck to so far. In this respect, this study is aimed to draw out a system and methodology for a user-oriented design process so that design can provide expanded experience to users from product form, applied material, and service.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.156-169
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• 2016

The objective of this study is to investigate patent trends of Daegu city which tries to introduce environment friendly energy and to develop new technology or new industry sprung from technology convergence on smart decentralized energy technology and other technologies. After applying network analysis to corresponding groups of technology or industry convergence, strategy for future energy convergence industry is provided. Patent data applied in Daegu city area are used to obtain research goal. The technology which contains several IPC codes (IPC Co-occurrence) is considered as a convergence technology. Path finder network analysis is used for visualizing and grouping by using IPC codes. The analysis results categorized 13 groups in energy convergence industry and reclassified them into 3 cluster groups (Smart Energy Product Production Technology Group, Smart Energy Convergence Supply Technology Group, Smart Energy Indirect Application Technology Group) considering the technical characteristics and policy direction. Also, energy industry has evolved rapidly by technological convergence with other industries. Especially, it has been converged with IT industry, and there is a trend that energy industry will be converged with service industry and manufacturing industry such as textile, automobile parts, mechanics, and logistics by employing infrastructure as well as network. Based on the research results on core patent technology, convergence technology and inter-industry analysis, the direction of core technology research and development as well as evolution on decentralized energy industry is identified. By using research design and methodology in this study, the trend of convergence technology is investigated based on objective data (patent data). Above all, we can easily confirm the core technology in the local industry by analyzing the industrial competitiveness in the macro level. Based on this, we can identify convergence industry and technology by performing the technological convergence analysis in the micro level.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.379-384
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• 2019

The purpose of this study is to investigate the problems of the rapidly increasing voice interface and to find out what results will be obtained when the new gesture interaction is applied to the product, and to suggest the improvement method for a better user experience. Through the literature review, I have conducted a theoretical review on the changes in the product interface used in the product and the difference between them, and then conducted in-depth interviews on the 20-30 users who used voice recognition as a product trigger. As a result, it was concluded that the decline in the reliability of accuracy leads to a decrease in the preference of voice recognition interactions and an needs of appropriate interface for the functional aspect of non-relavancy in physical distance as a product trigger. This study is meaningful in that it has found a problem with the study of the product trigger interface and suggested improvement measures, and hope to be helpful in follow-up study.

• 한국정보디스플레이학회:학술대회논문집
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• 2003.07a
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• pp.122-125
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• 2003

We describe a new method to initialize the raster and convergence of a flat intelligent tracking (F!T) tube. By splitting up the initialization algorithm into three parts, it can comply with the variety of boundary conditions that are stated for a consumer product. Experiments on raster initialization have shown that the new algorithm speeds up the initialization by one order of magnitude.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.185-190
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• 2019

In this study, the flow characteristics happening inside water tank due to the configuration of various water tank were analyzed by using a computation fluid dynamics program, ANSYS CFX. This study also examined which model was most efficient at the flow by changing the flow conditions of the inlet and outlet due to the configuration of various tank. Same material was applied to models A, B and C. As the result of flow analysis, it was shown that model B had the best flow and model C had the highest pressure applied to the flow. So, though the water tank has the same material according to the configuration of product, the velocity and pressure of flow become different. Therefore, it is thought to develop the tank good for the fluid flow due to the product configuration through this flow analysis result. On the basis of this study result, the esthetic sense can be shown as the analysis data of flow due to the configuration of fluid tank are grafted onto the real life.

• Bulletin of the Korean Mathematical Society
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• v.55 no.4
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• pp.1241-1261
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• 2018

We derive discrete time model of the geometric fractional Brownian motion. It provides numerical pricing scheme of financial derivatives when the market is driven by geometric fractional Brownian motion. With the convergence analysis, we guarantee the convergence of Monte Carlo simulations. The strong convergence rate of our scheme has order H which is Hurst parameter. To obtain our model we need to convert Wick product term of stochastic differential equation into Wick free discrete equation through Malliavin calculus but ours does not include Malliavin derivative term. Finally, we include several numerical experiments for the option pricing.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.571-576
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• 2014

Convergence refers to create a new one by combining the different elements of two or more. Currently convergence has expanded academy, industry and education from the concept of combining heterogeneous inter-technology. The most important key to the convergence in success is to derive ideas for problem solving. However, the idea derivation is done in companies to hire professional people for letting the innovation of corporate planning and new product in most cases. It is hard to get the expected results of convergence's variety. In this research, the creation of the general public for their ideas is main focus on developing a curriculum. Development models are: 1) strengthening the internal capacity for creative thinking, 2) curriculum meets the consumer 3) an understanding of convergence technology 4) creative ideas and planning ability is composed of four concepts. It is expected that convergence man power having the creative idea is trained in case of applying the proposed education model to the convergence education.

• The Journal of Information Systems
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• v.26 no.3
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• pp.1-23
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• 2017

Purpose With the advent of the 4th Industrial Revolution era, ICT convergence industry is leading the wave of new change. These changes in the industrial field are recognizing convergence as a strategic cooperation tool of management for creating new value. In order to achieve the research purpose, conceptual understanding of ICT convergence is summarized by focusing on concepts, features, types and cases. In addition, this study established the theoretical rationale for the determinants of ICT convergence performance, and examined previous researches related to ICT convergence. Design/methodology/approach The empirical research method is based on a survey of 510 companies including managers and mid-level practitioners who understand the contents of the relevant field, 305 data were used for analysis. We conducted exploratory factor analysis to verify the grouping of these questionnaire items and conducted confirmatory factor analysis to analyze the validity and reliability of the measurement model. Through the statistical analysis, we analyzed the structural relationship of ICT firms' competencies for convergence performance. Findings Linkage of ICT strategies established by corporations is an important factor for enhancing resource capacity and convergence ability. It is important to ensure that product innovation, consumer-oriented strategies, and ICT strategies for the implementation of business strategies are closely linked. In addition, in the convergence environment, companies should make efforts to develop convergence ability and improve organizational performance through utilization of ICT resources. From the CEO's perspective, it is necessary to understand the knowledge, technology and resources arising from the convergence environment, and to integrate with the resources possessed by the enterprise to induce the organization's performance.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.5
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• pp.773-787
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• 2020

In the injection molding process, the controlling stability of products quality is a very important factor in terms of productivity. Even when the optimum process conditions for the desired product quality are applied, uncontrollable external factors such as ambient temperature and humidity cause inevitable changes in the state of the melt resin, mold temperature. etc. Therefore, it is very difficult to maintain prodcut quality. In this study, a system that learns the correlation between process variables and product weight through artificial neural networks and predicts process conditions for the target weight was established. Then, when a disturbance occurs in the injection molding process and fluctuations in the weight of the product occur, the stability control of the product quality was performed by ANN predicting a new process condition for the change of weight. In order to artificially generate disturbance in the injection molding process, controllable factors were selected and changed among factors not learned in the ANN model. Initially, injection molding was performed with a polypropylene having a melt flow index of 10 g/10min, and then the resin was replaced with a polypropylene having a melt floiw index of 33 g/10min to apply disturbance. As a result, when the disturbance occurred, the deviation of the weight was -0.57 g, resulting in an error of -1.37%. Using the control method proposed in the study, through a total of 11 control processes, 41.57 g with an error of 0.00% in the range of 0.5% deviation of the target weight was measured, and the weight was stably maintained with 0.15±0.07% error afterwards.