• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.261-270
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• 2022

For mobile online games, this study examines how use pursuit propensity, use interest, use, service quality, and system quality, which are attributes that evaluate the use value and benefit for Chinese users, have an effect on use satisfaction. Empirical analysis results; all composing factors of four attribute had a positive effect, and the degree of effect was different according to game types in use interest and use, service quality. In terms of use pursuit, there was no difference between game types, and innovation pursuit and relationship pursuit were found to be similarly important effecting factors. In terms of use interest, there was a difference between game types. Sense of solidarity in single-player game and sense of achievement in multi-player game was found to be the most important effecting factor. In terms of service quality, there was a difference between game types. Easy of game in single-player game and function of game in multi-player game was the most important effecting factor. In terms of system quality, use convenience was found the most important effecting factor without difference between game types. Based on these results, this study suggested a strategy to enhance game development and loyalty to companies in the game industry.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.879-892
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• 2021

In a make-to-order manufacturing environment, the manufacturer's quotation information is important information used as basic information for bidding, receiving orders, and producing products in response to various customer demands. This quotation information is changed according to various factors such as customer demands, changes in product production environment, changes in drawing information of technical partners, and technological improvement of products. Due to this change, various changes occur in the quotation information that the manufacturer is preparing to reflect the customer's requirements. The change of quotation information according to these various change factors puts a lot of burden on the quotation management work from the standpoint of a make-to-order manufacturing company. In particular, the change of quotation information due to the change factors of quotation is inevitable and frequently occurs due to the requirements of the customer in the customer-oriented make-to-order production environment. In this paper, we propose a quotation change process based on the quotation creation process and propose a consistent and efficient quotation change processing method. To this end, the factors causing the change of quotation were defined, and the types of changes for each factor were defined. And it shows the procedure of applying the quotation change process to the quotation management system through the cases of each cause of the quotation change. In addition, in order to show the usefulness of the quotation change factors, the type of quotation change, the quotation change process, and the quotation system management, the proposed quotation change process and function was applied in the integrated quotation management system for the ship engine division of a typical make-to-order manufacturing company 'H'. As a result, it was confirmed that the proposed quotation change process and management system according to the quotation change factors were efficiently performed.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.592-608
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• 2022

This study conducted a group reminiscence program for the elderly who use the elderly daycare center. And this study verified the effectiveness of the elderly's mental health related quality of life to identify the relationship between the participating elderly and the non-participating elderly in a group reminiscence program. To this end, in order to examine the effectiveness of a group reminiscence programs for the elderly using the daycare center on MHRQoL, and the difference between the experimental group and the control group was compared with the non-equivalent control group pre-post test design. The research results are as follows. First, the experimental group that conducted the group reminiscence program in this study had a higher quality of life than the control group that did not participate the group reminiscence program. Second, significant results were found in vitality and mental health in the sub-factors of MHRQoL of the experimental group, and emotional role restriction and social function did not show significant results. Based on the results of this study, to develop and improve programs that encompass the entire sub-areas of MHRQoL, and to implement programs that positively affect the psycho-social intervention for the elderly persons. Finally, it was suggested to link and cooperate with senior welfare centers and general social welfare centers.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.742-753
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• 2022

Recently, the globalization of culture and the global trend of K-culture have become a good background for further developing and promoting Korean traditional culture. However, although Korean traditional music has an excellent notation method called Jeongganbo developed by King Sejong, it is gradually not being used as the universality of Western notation. However, since the 7th curriculum, the proportion of introduction and utilization of Jeongganbo in elementary music education has been increasing. And this is a good opportunity to re-generalize our unique traditional notation. On the other hand, in addition to practicing the interpretation of the notation method, more diverse tools will be needed to activate the practice of Jeongganbo. Therefore, this study studied the design of a web program that can make Jeongganbo on the web without installation or download. In addition, in order to increase the user's convenience in the process of publishing Jeongganbo, it designs and proposes a method of inputting using a computer keyboard like a piano keyboard and method of listening to input music information through MIDI function and save it as a file. Through this study, it is possible to develop a web program that anyone can easily and simply approach, practice, and publish, and it is expected to be a useful tool for practicing Korean traditional music or publishing traditional music in the future.

• Journal of Dental Rehabilitation and Applied Science
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• v.38 no.2
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• pp.71-80
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• 2022

Although low translucency 3 mol% yttria stabilized tetragonal zirconia polycrystal has excellent mechanical properties, it has limited application as a monolithic prosthesis. To improve these optical limitations, translucent zirconia has improved esthetics due to an increase in the cubic phase; however, it is accompanied by a decrease in mechanical properties simultaneously. Lithium disilicate has improved its mechanical properties through crystal size reduction and various heat treatment methods; therefore, its clinical application range is continuously increasing. Translucent zirconia shows a wide distribution of physical properties depending on the yttria content and lithium disilicate according to the size and density of crystal grains. As a result, the indications for translucent zirconia and lithium disilicate are increasing. Therefore, in this literature review, we intend to examine the rationale behind the material selection criteria in clinical situations and considerations for designing fixed dental prostheses including pontic, in particular, by summarizing recent studies.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.515-523
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• 2021

An integrated underground spatial map consists of underground facilities, underground structures, and ground information, and is periodically updated. In this paper, we design and implement a system for detecting and extracting only changed ground objects to shorten the map update speed. To find the changed objects, all the objects are compared, which are included in the newly input map and the reference map in the integrated map. Since the entire process of comparing objects and generating results is classified by function, the implemented system is composed of several modules such as object comparer, changed object detector, history data manager, changed object extractor, changed type classifier, and changed object saver. We use two metrics: detection rate and extraction rate, to evaluate the performance of the system. As a result of applying the system to boreholes, ground wells, soil layers, and rock floors in Pyeongtaek, 100% of inserted, deleted, and updated objects in each layer are detected. In addition, it provides the advantage of ensuring the up-to-dateness of the reference map by downloading it whenever maps are compared. In the future, additional research is needed to confirm the stability and effectiveness of the developed system using various data to apply it to the field.

• Journal of Environmental Impact Assessment
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• v.31 no.4
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• pp.201-213
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• 2022

Creation and administration of green space are emphasized to solve the environmental problem and the management of green space in urban area. Urban area with high development pressure faces green space fragmentation, so the planned approach is needed to improve the continuity of green space. However, the current institutional green axis, used to enhance continuity of urban space is merely an abstract concept under the master plan so that is not a consistent framework for urban green continuity providing no detailed information such as position and path. Therefore, in order to consistently manage green space in continuous point of view, it is insufficient not being connected to each individual green space development projects. This study proposes a method for finding the connection path to enhance urban green space continuity. This proposed method consists of two phases. First phase is finding nodes to connect current green space and second is to calculate the least cost path. We calculate connection cost using NDMI (Normalized Difference Moisture Index), impervious ratio and official land cost, applying to Suwon city and potential greening site that was planned in official master plan. According to the results, we confirm a possibility of finding a cost-effective connection path with detailed spatial information instead of unrealistic abstract concepts and discuss worth applying to a legally plan and policy.

• Journal of Life Science
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• v.32 no.10
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• pp.821-831
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• 2022

This study evaluated the effects of physical touch play programs in children through a systematic literature review and meta-analysis. A literature search for journal articles published before August 2022 was conducted using KERIS, KISS, DBpia, and ScienceON. The keywords used for the search were 'child', 'infant', 'physical touch', 'physical touch play', 'physical touch activities' and 'physical touch play program'. For the study's purpose, seven studies were selected through a systematic process of using several databases and were used to estimate the effect size of physical touch play programs. A meta-analysis was performed using a random effects model, and the effect size on cognitive function was calculated. Hedges' g of the physical touch play program was 6.20 (95% CI: 3.74-8.66), indicating a large effect size. To determine heterogeneity (I2= 95.4%, Q = 417.30, p<0.001), moderator analysis was performed using the total number of times and intervention duration. The total number of times was statistically significant; the other moderators did not differ significantly. This study systematically analyzed the results of physical touch play programs on children in Korea. It also provides insights that can be applied to the design of physical touch play programs for children. To present more evidence that supports the effectiveness of physical touch programs, further research is warranted.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.93-98
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• 2022

With the development of new digital technologies, research on various learning tools is being actively conducted. These learning tools are also being developed so that they can be applied to various environments by applying the technology of artificial intelligence or using smart functions to which big data technology is applied. These smart learning tools are contributing a lot to increasing educational effectiveness and learning efficiency. Recently, various learning tools have been applied in universities, and solutions for smart learning from smart attendance are introduced to improve student learning efficiency. This study intends to propose a design for a smart learning tool that can increase the efficiency of project progress and increase the scalability of the results when conducting a company's customized project through such a university's smart learning tool. The proposed smart learning tool is expected to have the advantage of being able to easily adapt to the practical business project as the company-customized projects that can improve practical skills are smoothly used as a learning tool. The proposed project-based smart learning tool model is later built as a related LMS and applied to actual project progress to check its utility, and to revise and supplement the proposed smart learning tool model to provide a project-based smart learning function want to strengthen.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.30-37
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• 2021

Various devices are connected to the Internet, and attacks using the Internet are occurring. Among such attacks, there are attacks that use malicious URLs to make users access to wrong phishing sites or distribute malicious viruses. Therefore, how to detect such malicious URL attacks is one of the important security issues. Among recent deep learning technologies, neural networks are showing good performance in image recognition, speech recognition, and pattern recognition. This neural network can be applied to research that analyzes and detects patterns of malicious URL characteristics. In this paper, performance analysis according to various parameters was performed on a method of detecting malicious URLs using neural networks. In this paper, malicious URL detection performance was analyzed while changing the activation function, learning rate, and neural network structure. The experimental data was crawled by Alexa top 1 million and Whois to build the data, and the machine learning library used TensorFlow. As a result of the experiment, when the number of layers is 4, the learning rate is 0.005, and the number of nodes in each layer is 100, the accuracy of 97.8% and the f1 score of 92.94% are obtained.