• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.137-145
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• 2008

The CBDs of major cities in Korea have been deteriorating because of the hollowing-out phenomenon caused by decades-long urban sprawl. The weakening of CBD triggered various efforts to revitalize the area; and several cities have launched regeneration policies in recent years. The purpose of this study is to investigate key factors to revitalize CBD area with reference to various experiences of foreign and domestic countries. This study consists of follows. At first, it analyzes theoretic backgrounds of urban regeneration such as new urbanism; and implements case studies of England, USA, and Japan with respect to their relevant laws and policies. Second, it investigates domestic cases of so-called Newtown projects being implemented in Seoul and Dajeon. We focused on the analysis of strategies and characteristics of housing redevelopment as well as regional center revitalization projects happening in these cites. Lastly, we proposed future directions of urban regeneration in Korea based upon the comparative studies of various cases discussed in this study. The study concludes that diverse efforts in terms of project implementation, planning, and money raise are required for successful urban regeneration in Korea.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.712-720
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• 2022

The use of social media to disseminate news and interact with project stakeholders is increasing over time in the construction industry. Such social media data can be analyzed to get useful insights of the industry such as demands of new housing construction and satisfaction of construction workers. However, there has been a limited attempts to analyze social media data related to the construction industry. The objective of this study is to collect and analyze construction related tweets to understand the overall sentiments of individuals and organizations about the construction industry. The study collected 87,244 tweets from April 6, 2020, to April 13, 2020, which had hashtags relevant to the construction industry. The tweets were then analyzed to evaluate its sentiments polarity (positive or negative) and sentiment intensity or scores (-1 to +1). Descriptive statistics were produced for the tweets and the sentiment scores were visualized in a scatterplot to show the trend of the sentiment scores over time. The results shows that the overall sentiment score of all the tweets was slightly positive (0.0365). Negative tweets were retweeted and marked as favorite by more users on average than the positive ones. More specifically, the tweets with negative sentiments were retweeted by 2,802 users on average compared to the tweets with positive sentiments (247 average retweet count). This study can potentially be expanded in the future to produce a real time indicator of the construction market industry such as the increased availability of construction jobs, improved wage rates, and recession.

• Journal of the Korean Institute of Rural Architecture
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• v.25 no.3
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• pp.37-45
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• 2023

This study is conducted to provide an empirical review on how schools play a pivotal role in the regional communities. For this, the use of closed schools, activities to revive small-scale schools, and activities related to nearby schools outside the village were analyzed for villages that have participated and have been awarded in the Contest for Making Happy Rural Communities by the Ministry of Agriculture, Food and Rural Affairs. The results of this are as follows. Out of 204 villages that won the contest, there were 19 cases of school closures. Of these 19 cases, there are 17 cases in which the closed school facilities still exist. For the two remaining cases, there are no buildings and only the site remains. To summarize the use of these schools, the functions are being combined and are determined within the range that local residents can operate. The impact or success factors on the region can be summarized into five main categories through the revival of schools in the crisis of closure. First, it was an opportunity to lay an organizational foundation for village projects in the future by reorganizing the village's organization, such as the formation of a village promotion committee to revive the schools. Second, it did not just introduce outsiders to increase the population, but supported housing and jobs for them to successfully settle down. Third, a cultural community was created with senior and junior residents, and finally, the residents became teachers or formed a village education communities such as lifelong education. In the relationship with schools existing outside the village, activities with members of the surrounding schools and linked activities are being carried out in the sense of "school".

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.627-636
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• 2023

Due to the COVID-19 pandemic, the global population has experienced drastic changes, one of which is the increase in remote work. Given the ongoing possibility of exposure to infectious diseases and various other circumstances, the expansion of remote work is anticipated. To enhance the efficiency of remote work and address its existing limitations, this study surveyed the perceptions of indoor environments among individuals who worked from home during the COVID-19 pandemic. The study examined how the characteristics of individuals influenced their perceptions of indoor environments. It was found that the number of occupants and rooms, size of the house, and noise sensitivity affected the perceptions of outdoor noise, neighbor noise, and indoor noise caused by cohabitants. The findings can be used as foundational data for designing multipurpose housing that can be utilized not only for residential purposes but also for work and educational settings in the future.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1081-1087
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• 2023

Although the school-age population is continuously decreasing, the number of people eligible for special education is increasing every year. Special schools, which are comprised entirely of students with special education needs, are vulnerable due to restrictions on evacuation in the event of a fire. However, the characteristics of special schools are not reflected in the plans related to firefighting and safety in special schools. In this study, essential items such as placement of helpers were selected through analysis of firefighting and school safety plans and collection of faculty and staff opinions. Afterwards, through analysis of experts' opinions, a basic fire evacuation scenario was presented that reflected the characteristics of special schools. We hope that this scenario will contribute to the development of customized fire evacuation scenarios for each special school in the future.

• Human Ecology Research
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• v.62 no.1
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• pp.15-32
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• 2024

The purpose of this study was to analyze the research trends and co-author networks of academic articles published in the Journal of the Korean Home Economics Association from 2010 to 2022. The network analysis was conducted using Excel and NetMiner 4.4, and the results were as follows. First, the number of published articles has been maintained at around 40 per year since 2019. By field, most articles were published in the field of child studies and family studies, followed by consumer studies, home management, clothing studies, home economics education, food and nutrition, and housing. The research methods were primarily quantitative (71.61%). Second, the most common keywords in the titles of the published articles were "influence" and "relationship", with "influence", "consumer", "mediating effect", "parent", and "control" identified as influential keywords. Third, the published articles were categorized into nine topics based on subject matter, while the number of topic types varied by year. Fourth, the total number of authors of the 627 articles was 712, with 1.92 authors per article, as well as the number of authors who published two or fewer articles accounted for 85.5% of the total. By institution, Yonsei University had the highest number of authors and the highest number of published articles, while Korea National Open University played a leading role in the network of co-authors by institution. This study is significant in providing basic data for the future development of the Korean Home Economics Association and the field of home economics.

• Asia pacific journal of information systems
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• v.29 no.2
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• pp.308-327
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• 2019

The concept of sharing economy has received rich attention in recent years. As a typical type of business model in the sharing economy, online short rent has been paid attention by both industry and academia. In this study, we find trust to be a critical determinant to the success of online short rent platforms. Based on three dimensions of trust theory, i.e., ability, benevolence and integrity, we investigate the factors influencing tenant' willingness to participate in online short rent. We further examine the extent to which trust can influence the number of sales and comments of rooms listed at online short-term rent platforms, which can represent tenant' willingness to participate in the sharing economy. The results show that the trust dimensions represented by a landlord's personal characteristics have significant positive correlations with the number of sales and comments. For example, the real name authentication and the sesame score can represent the trust integrity; online replay ratio and the average confirmation time representing the trust sincerity, and the order acceptance ratio representing the trust ability. On this basis, we proposed some recommendations for both platforms and landlords. For example, the landlords can improve the tenants' trust by authenticating his/her real name, replying actively and timely. For platforms, when they make housing list ranking rules, they can take the landlord's personal attributes that may affect trust into consideration. Moreover, platforms can also allow landlords to supply value-added services to improve service quality and ultimately promote the virtuous circle of the platform ecosphere. Through conducting the empirical research on a particular application of the sharing economy, we aim to fill the research gap of this field in China and provide theoretical and practical contributions to the future development of online short rent.

• Structural Engineering and Mechanics
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• v.90 no.1
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• pp.19-26
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• 2024

In recent years, an increasing number of experimental studies have shown that the practical application of mature active control systems requires consideration of robustness criteria in the design process, including the reduction of tracking errors, operational resistance to external disturbances, and measurement noise, as well as robustness and stability. Good uncertainty prediction is thus proposed to solve problems caused by poor parameter selection and to remove the effects of dynamic coupling between degrees of freedom (DOF) in nonlinear systems. To overcome the stability problem, this study develops an advanced adaptive predictive fuzzy controller, which not only solves the programming problem of determining system stability but also uses the law of linear matrix inequality (LMI) to modify the fuzzy problem. The following parameters are used to manipulate the fuzzy controller of the robotic system to improve its control performance. The simulations for system uncertainty in the controller design emphasized the use of acceleration feedback for practical reasons. The simulation results also show that the proposed H∞ controller has excellent performance and reliability, and the effectiveness of the LMI-based method is also recognized. Therefore, this dynamic control method is suitable for seismic protection of civil buildings. The objectives of this document are access to adequate, safe, and affordable housing and basic services, promotion of inclusive and sustainable urbanization, implementation of sustainable disaster-resilient construction, sustainable planning, and sustainable management of human settlements. Simulation results of linear and non-linear structures demonstrate the ability of this method to identify structures and their changes due to damage. Therefore, with the continuous development of artificial intelligence and fuzzy theory, it seems that this goal will be achieved in the near future.

• Journal of Korean Home Economics Education Association
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• v.35 no.3
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• pp.151-167
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• 2023

The advent of the carbon neutrality era has led to a paradigm shift in education toward ecological transition education. It is time to understand the concept and practice of ecological transition education pursued in the 2022 revised curriculum and prepare for changes to the main life education covered in home economics education. Therefore, the purpose of this study is to explore the role of home economics education for carbon neutrality for future generations who will have to live in the era of rapidly changing climate crisis, and to propose a practice plan for ecological transition education in the main living area based on the educational contents of the 2022 revised curriculum. To achieve these objectives, this study reviewed previous research on carbon neutrality and ecological transition education, analyzed the curriculum for main life from the first curriculum to the 2022 revised curriculum, and proposed the direction of main life education for ecological transition education. Through this study, the importance of carbon neutrality and ecological transition can be emphasized in home economics education, and it is expected that it can be used as a basis for realizing ecological transition education in actual education sites.

• Smart Structures and Systems
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• v.33 no.4
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• pp.291-300
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• 2024

Uncertainty of the model, system delay and drive dynamics can be considered as normal uncertainties, and the main source of uncertainty in the seismic control system is related to the nature of the simulated seismic error. In this case, optimizing the management strategy for one particular seismic record will not yield the best results for another. In this article, we propose a framework for online management of active structural management systems with seismic uncertainty. For this purpose, the concept of reinforcement learning is used for online optimization of active crowd management software. The controller consists of a differential controller, an unplanned gain ratio, the gain of which is enhanced using an online reinforcement learning algorithm. In addition, the proposed controller includes a dynamic status forecaster to solve the delay problem. To evaluate the performance of the proposed controllers, thousands of ground motion data sets were processed and grouped according to their spectrum using fuzzy clustering techniques with spatial hazard estimation. Finally, the controller is implemented in a laboratory scale configuration and its operation is simulated on a vibration table using cluster location and some actual seismic data. The test results show that the proposed controller effectively withstands strong seismic interference with delay. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results is believed to achieved in the near future by the ongoing development of AI and control theory.