• Journal of Industrial Convergence
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• 제22권7호
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• pp.1-13
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• 2024

Among e-government services, the intelligent CCTV control platform is a screening control service that utilizes artificial intelligence to display major objects such as people, cars, etc. to control personnel when they appear on CCTV. The operation of an intelligent CCTV control platform is expected to improve the quality of life of citizens by enabling rapid response in the event of an emergency and increasing the resolution of complaints. In this study, the benefits of the intelligent CCTV control platform, a non-market good, were estimated by applying the contingent valuation method (CVM), a choice experiment technique, to estimate the average willingness to pay per household and calculate the social benefits. As a result of the analysis, the average willingness to pay per household was estimated to be KRW 6,908 per year, and the economic benefits for the country as a whole were estimated to be about KRW 150.4 billion per year. This study is of academic significance as it extends the application of CVM to the field of intelligent e-Government services. The Intelligent CCTV control platforms is being actively discussed, this study has practical implications in that the benefits were estimated in monetary value.

• Journal of Internet Computing and Services
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• 제25권4호
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• pp.23-37
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• 2024

Digital twin is an M&S (Modeling and Simulation) technology designed to solve or optimize problems in the real world by replicating physical objects in the real world as virtual objects in the digital world and predicting phenomena that may occur in the future through simulation. Digital twins have been elaborately designed and utilized based on data collected to achieve specific purposes in large-scale environments such as cities and industrial facilities. In order to apply this digital twin technology to real life and expand it into user-customized service technology, practical but sensitive issues such as personal information protection and personalization of simulations must be resolved. To solve this problem, this paper proposes a federated learning-based accelerated client training method (FACTS) for personalized digital twins. The basic approach is to use a cluster-driven federated learning training procedure to protect personal information while simultaneously selecting a training model similar to the user and training it adaptively. As a result of experiments under various statistically heterogeneous conditions, FACTS was found to be superior to the existing FL method in terms of training speed and resource efficiency.

• Journal of Music and Human Behavior
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• 제21권2호
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• pp.77-105
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• 2024

This study explored whether story-based interactive music activities improve play interactions between children with developmental disabilities (DD) and typically developing (TD) children at an integrated daycare center, and whether these activities influence TD children's attitudes towards their DD peers. The participants included six children with DD, aged 3-5 years, and 21 TD peers. They attended 10 sessions, each 30 minutes, twice a week. Play interactions were observed during free play after each session, and TD children's attitudes towards peers with DD were assessed before and after the intervention. The results showed that children with TD and DD in the integrated group showed significantly reduced disengagement, with notable improvements in joint action for TD children and joint attention for DD children. However, there were no significant changes in peer acceptance among TD children in the integrated group while there was a significant decrease in the non-integrated group. This study highlights that story-based interactive music activities effectively enhance interactions between TD and DD children. However, the limited impact on peer acceptance suggests the need for more long-term and systematic interventions, considering the children's developmental levels. The study also emphasizes the importance of tailored approaches that address the individual needs of both TD and DD children, providing valuable insights into the direction of systematic interventions at a time when the importance of social integration is increasingly recognized.

• Journal of Service Research and Studies
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• 제14권3호
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• pp.188-205
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• 2024

The food truck business, which involves selling various types of food from mobile vehicles, has gained significant popularity in urban centers and at events. These food trucks have rapidly expanded due to their relatively low initial investment and high flexibility, attracting customers with unique menus and personalized services. However, as competition increases, the need to manage service quality to boost customer satisfaction and encourage repeat visits has become more critical. Despite this growing importance, there has been limited empirical research on the topic. This study aims to analyze customer experiences with food truck services to gain strategic insights for improving service quality. By applying structural topic modeling to customer review data, the study identified 50 key topics. The process included a comprehensive evaluation of model diagnostics and interpretability to determine the optimal number of topics, ultimately selecting the most relevant ones related to service experiences. The impact of these identified topics on overall customer satisfaction was empirically tested using regression analysis. The results showed that aspects such as "Food Taste," "Friendly Staff," and "Positive Emotion" had a positive influence on customer satisfaction, whereas "Delayed Service," "Negative Emotion," and "Beverage Service" had a negative impact. Based on this analysis, the study proposes concrete methods for food truck operators to systematically analyze customer feedback and use it to drive service improvements and innovation. This research highlights the importance of data-driven decision-making in small business environments like food trucks and contributes to expanding the application of topic modeling in the service industry.

• Journal of the Korean Institute of Landscape Architecture
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• 제52권4호
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• pp.120-136
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• 2024

Yeong-dae(靈臺), Yeong-yu(靈囿), and Yeong-so(靈沼) - so-called 'Yeong-dae Garden' – appear in the poem 'Dae-ah(大雅)․Yeong-dae(靈臺)' in Shijing(詩經) which is considered the record of the earliest garden in East Asia, in the chapter 'Yanghyewang(梁惠王)' of Mencius(孟子). Focusing on those records, this research clarifies their characteristics and discusses the aspects related to garden practices in the Joseon Dynasty. The Yeong-dae Garden is the garden of King Wen of the Zhou Dynasty, who is considered a sage of Confucianism. It is considered to be the first imperial garden in China, and the basic form of all gardens consists of mountains and water. The characteristics of Yeong-dae Garden can be specified through the texts of Shijing and Mencius, the comments written by Zhu Xi and others, and later literature, such as Sambohwangdo. The characteristics of Yeong-dae Garden are as follows: In terms of form, the three spatial elements corresponding to raised ground, a wide area for raising animals, and a pond with fish form a simple arrangement; in terms of function, it combines observation and rest; and in terms of symbolism, it signifies the companionship of the public sentiment and the leader's sincerity. In literature from the Joseon Dynasty, Yeong-dae Garden mainly appear in historical materials related to the King, and its meaning shows an aspect of differentiation into two functions: an observatory for astronomical observation and a garden for rest and appreciation. For the intellectuals of Joseon who sought to restore an ancient ideal state like the Zhou Dynasty through Zhu Xi's Neo-Confucianism, the Yeong-dae Garden served as a control device to warn against royal garden's practices and a symbolic mechanism to expand its meaning of existence to good politics.

• Health Policy and Management
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• 제34권3호
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• pp.282-292
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• 2024

Background: This study aimed to identify the relationship between regional health outcomes and the living population, which may reflect the characteristics of population migration in Seoul. Methods: This study used raw data on cause of death statistics from Statistics Korea's Micro Data Integration Service. To identify the independent variable, the living population, we used living population data provided by Korean Telecom for 25 districts of Seoul. The control variables were based on the four domains of SDoH (social determinants of health; economic stability, healthcare access and quality, neighborhood and built environment, and social and community context). Panel generalized estimating equations (GEE) analysis was used to determine the relationship between living population and regional health outcomes. Results: The panel GEE analysis showed that all mortality-related health outcomes (avoidable, preventable, and treatable mortality) had a statistically significant negative relationship with the living population. This indicated that an increase in living population had a positive effect on mortality-related health outcomes. Conclusion: The identification of a notable relationship between regional health outcomes and population density underscores the utility of incorporating living population metrics as key indicators in the development of policies aimed at mitigating health disparities. Moreover, this finding advocates for strategic expansions of local infrastructure, with a particular emphasis on areas characterized by low living populations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제24권5호
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• pp.37-45
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• 2024

This study aims to collect and systematize indicators for each stage of digital transformation at the infrastructure level to accurately diagnose the current status of digital transformation in Korea and to serve as a reference for establishing a balanced digital strategy. In order to establish a framework for digital transformation of infrastructure, 19 indicators in three categories(tangible/intangible, data) were identified across three stages of digital transformation: computerization, digitization, and digital transformation, and 19 indicators in three categories were identified to study the changes in digital infrastructure. The main findings are: First, the digital transformation of infrastructure is at a high level, moving from digitization to digital transformation. Second, the scope of digital transformation policies is expanding as digital transformation is triggered, and additional policies on inclusion and social disparities should be prepared. It is also important to improve the regulatory environment, which is relatively undervalued. Third, as data becomes more important, it is important to develop indicators and measurements to strengthen digital competitiveness in terms of data infrastructure. This study is an exploratory study of the existing indicators, which can be used to conduct specialized research on the differences in the level of digital transformation by industry, sector, company size, age, gender, region, and group, and to study indicators for the expansion of digital transformation to social and industrial sectors. The expected effect is to deepen the process of understanding the interaction between each indicator, so that future digital transformation policies can be organized and promoted, and policy outcomes can be predicted and responded to in advance.

• Journal of Korean Home Economics Education Association
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• 제20권4호
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• pp.19-42
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• 2008

The purpose of this study was to develop practical problem-based home economics teaching.learning process plans about a unit 'the youth and consumer life' of middle school eighth-grade Technology and Home Economics by applying blended learning(BL) strategy. According to ADDIE instructional design model, this study was conducted in the following procedure: analysis, design/development, implementation, and evaluation. In the stage of design and development, the selected unit was converted into a practical problem-based unit, and practical problem-based teaching. learning process plans were designed in detail by using BL strategy. An online study room for practical problem-based home economics instruction grounded in BL strategy was prepared by using Edunet(http://community.edunet4u.net/${\sim}$consumer2). Eight-session lesson plans were mapped out, and study aids for students and materials for teachers were prepared. In the implementation stage, the first-session teaching plans that dealt with a minor question 'what preparations should be made to become a wise consumer' were utilized when instruction was provided to 115 eighth graders who were in three different province, and the other one was in a middle school in the city of Daejeon. The experimental teaching was implemented for two weeks in the following procedure: preliminary program, pre-online learning, main instruction and post- online learning. The preliminary program was carried out in a session in the classroom, and pre-online learning was provided before the main instruction was given in a session in the classroom. After the main instruction was completed, post-online learning was offered. In the evaluation stage, a survey was conducted on all the learners and teachers to find out their opinions and suggestions.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제19권10호
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• pp.2028-2042
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• 1994

Properly defining signal and noise in a self-organizing system like ART(Adaptive Resonance Theory) neural network model raises a number of subtle issues. Pattern context must enter the definition so that input features, treated as irrelevant noise when they are embedded in a given input pattern, may be treated as informative signals when they are embedded in a different input pattern. The ATR automatically self-scales their computational units to embody context and learning dependent definitions of a signal and noise and there is no problem in categorizing input pattern that have features similar in nature. However, when we have imput patterns that have features that are different in size and nature, the use of only one vigilance parameter is not enough to differentiate a signal from noise for a good categorization. For example, if the value fo vigilance parameter is large, then noise may be processed as an informative signal and unnecessary categories are generated: and if the value of vigilance parameter is small, an informative signal may be ignored and treated as noise. Hence it is no easy to achieve a good pattern categorization. To overcome such problems, a Coupled-ART neural network capable of modularized categorization of patterns is proposed. The Coupled-ART has two layer of tightly coupled modules. the upper and the lower. The lower layer processes the global features of a pattern and the structural features, separately in parallel. The upper layer combines the categorized outputs from the lower layer and categorizes the combined output, Hence, due to the modularized categorization of patterns, the Coupled-ART classifies patterns more efficiently than the ART1 model.

• Information Systems Review
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• 제12권1호
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• pp.165-188
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• 2010

Recently public and finance SI (system integration) industry is called as 4D (difficult, dangerous, dirty, dreamless) industry because of low profit, overtime works and poor motivation of employees. Even some people think at SI industry to be a labor intensive industry instead of a high technology industry. The current study considers outside environmental change of SI industry as well as inside capability enhancement of SI companies. The study adopted action research method with the author's expertise and experiences as a head of a major SI company in Korea. The current research framework suggests 5 areas of profitability enhancement that offers propositions and implications. 5 areas of profitability enhancement are (1) policy improvement, (2) business portfolio innovation (3) sales capability reinforcement, (4) delivery capability reinforcement, and (5) cost management innovation. The five areas include 11 propositional factors and 21 implementation plans which were chosen from the profitability perspectives of SI companies.In order to successfully execute propositions and implementation plans of the framework, 3 years is needed and after 3 years profitability are expected to increase 10% higher than the current level. The framework, propositions and suggestions in this study are expected to offer a real contribution for SI companies that want to enhance competitiveness and profitability. Future extension of the current study to benchmarking the competitiveness and profitability between local companies and global companieswill bring a solid attention from industry and academics.