Inelastic static pushover analysis has been used in the academic-research widely for seismic analysis of structures. Nowadays, the variety pushover analysis methods have been developed, including Modal pushover, Adaptive pushover, and Cyclic pushover, in which some weaknesses of the conventional pushover method have been rectified. In the conventional pushover analysis method, the effects of cumulative growth of cracks are not considered on the reduction of strength and stiffness of RC members that occur during earthquake or cyclic loading. Therefore, the Cyclic Pushover Analysis Method (CPA) has been proposed. This method is a powerful technique for seismic evaluation of regular reinforced concrete buildings in which the first mode of them is dominant. Since the bridges have different structures than buildings, their results cannot necessarily be attributed to bridges, and more research is needed. In this study, a cyclic pushover analysis with four loading protocols (suggested by valid references) by the Opensees software was conducted for seismic evaluation of two regular reinforce concrete bridges. The modeling method was validated with the comparison of the analytical and experimental results under both cyclic and dynamic loading. The failure mode of the piers was considered in two-mode of flexural failure and also a flexural-shear failure. Along with the cyclic analysis, conventional analysis has been studied. Also, the nonlinear incremental dynamic analysis (IDA) method has been used to examine and compare the results of pushover analyses. The time history of 20 far-field earthquake records was used to conduct IDA. After analysis, the base shear vs. displacement in the middle of the deck was drawn. The obtained results show that the cyclic pushover analysis method is able to evaluate an accurate seismic behavior of the reinforced concrete piers of the bridges. Based on the results, the cyclic pushover has proper convergence with IDA. Its accuracy was much higher than the conventional pushover, in which the bridge piers failed in flexural-shear mode. But, in the flexural failure mode, the results of each two pushover methods were close approximately. Besides, the cyclic pushover method with ACI loading protocol, and ATC-24 loading protocol, can provided more accurate results for evaluating the seismic investigation of the bridges, specially if the bridge piers are failed in flexural-shear failure mode.
The Journal of the Convergence on Culture Technology
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v.8
no.1
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pp.93-104
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2022
Based on the theoretical review of social cooperatives and the results of the fourth round of fact-finding, this study tried to discuss the sustainability of social co-operatives from the social, economic, and environmental aspects, focusing on the seven principles of co-operatives. The issue of sustainability is "a development that meets the needs of the present without compromising the ability of future generations to meet their own needs, the use of resources, the direction of investment, technological advances and institutional change in harmony with one another. as defined as "a process of change that advances the needs and desires of all future generations". It contains the meaning of connecting a sustainable society to future generations through harmony and balance, rather than opposing concepts of social value, environmental conservation, and economic growth. As a result of arranging the concept of social, economic, and environmental sustainability contained in sustainable development, and the seven principles of cooperatives and their connections, I would like to suggest the following about the sustainability of social cooperatives. First, efforts should be made for social contribution closely related to the local community. Second, it is necessary to create a profit model along with the public interest. Third, partnerships should be strengthened. When examining the public values and objectives that social cooperatives want to realize through this study, the three scopes of sustainable development are directly related to the role of important actors in pursuing social and economic values that social and economic organizations are facing. would. Therefore, the sustainability issue of social cooperatives is based on the concept that the goals and values pursued by social cooperatives are harmonious and balanced development in the environmental, social, and economic aspects, not only their own efforts but also the institutional support of the government. this will have to be presented.
The Journal of the Convergence on Culture Technology
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v.8
no.1
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pp.227-238
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2022
This study is the case of non-face-to-face teaching-learning in the subject of "Research and Guidance on Early Childhood Materials" in the pre-child teacher training program. The study conducted a non-face-to-face teaching-learning model for 18 students at B University in region C who took lectures on 'Research and Guidance on Early Childhood Materials' in the first semester of 2021. As a non-face-to-face teaching-learning model, it consisted of video lectures, real-time zoom classes, and various forms of 'communication' through frequent feedback and interaction and 'participation'. As a teaching-learning strategy for the participation of pre-service early childhood teachers, comment on questions related to early childhood materials, in-depth reflection on early childhood materials through writing reflective journals and observation reports, and step-by-step presentation of making childhood materials plans, processes, and results were carried out. As a result of exploring the experience of making early childhood materials for pre-service early childhood teachers, factors such as "growth experience through trial and error," "thinking from child's point of view", "Increase efficiency and reduce burden through communication", "Process rather than result" and "The importance of communication and interaction in non-face-to-face classes"
The Journal of the Convergence on Culture Technology
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v.8
no.2
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pp.209-215
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2022
In this study, detailed factors of public sentiment toward the 'post-corona new normal' were examined through social media big data sentiment analysis. Thus, it is to provide basic data to preemptively cope with the post-COVID-19 era. For data collection and analysis, the emotional analysis program of 'Textom', a big data analysis program, was used. The data collection period is one year from October 5, 2020 to October 5, 2021, and the collection channels are set as blogs, cafes, Twitter, and Facebook on Daum and Naver. The original data edited and refined a total of 3,770 collected texts from this channel were used for this study. The conclusion is as follows. First, there is a high level of interest and liking for the 'post-corona new normal'. In other words, it can be seen that optimism such as daily recovery, technological growth, and expectations for a new future took the lead at 77.62%. Second, negative emotions such as sadness and rejection are 22.38% of the total, but the intensity of emotions is 23.91%, which is higher than the ratio, suggesting that these negative emotions are intense. This study has a contribution to the detailed factor analysis of the public's positive and negative emotions through big data analysis on the 'post-corona new normal'.
The Journal of the Convergence on Culture Technology
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v.8
no.2
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pp.37-46
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2022
Recently, our society and environment has changed rapidly due to the pandemic caused by the COVID-19 virus. In this rapidly changing environment, companies fulfill their social responsibilities and require non-financial elements of transparent management activities. ESG has become one of the non-financial factors, and interest of ESG management is increasing worldwide. In this paper, we examine the importance of ESG concept and ESG management performance and the correlation with companies, and examine the necessity of ESG management for companies in the future. The literature reviews are conducted on CU which is currently best practicing ESG management through various secondary data. Also, we used interview articles so that reflect the rich voice of the distribution industry. In addition, after examining ESG characteristics through examples of global companies, we looked at BGF Retail's CU convenience store ESG activities, which is a leader in ESG management, in distribution industry. CU was divided into all sectors of E, S, and G, and all sectors were actively engaged in activities and flexibly coping with changing environments and social needs. In particular, it was confirmed that CU's environmental management, which focuses the most, achieved successful results due to the increase in actual consumption of customers. ESG management activities at CU convenience stores are currently ongoing and future tasks. As a leading company in ESG management in the current industry, it is meaningful to understand the process of growing into a company that shares concerns, efforts, and practical activities and fulfills social responsibility. Through this study, the changes and growth of CU and domestic companies to ESG and sustainable management are expected in the futures.
In the agricultural environment, pesticide control requires a high risk of work and a high labor force for farmers. The effectiveness of pesticide control using unmanned aerial vehicles varies according to climate, land type, and characteristics of unmanned aerial vehicles. Therefore, an effective method for pesticide control by unmanned aerial vehicles considering the spraying conditions and environmental conditions is required. In this paper, we propose an efficient pesticide control system based on agricultural unmanned aerial vehicles considering the application conditions and environmental information for each crop. The effectiveness of the proposed model was demonstrated by measuring the drop uniformity of pesticides according to the change in altitude and speed after attaching the sensory paper and measuring the penetration rate of the drug inside the canopy according to the change in crop growth conditions. Experiment result, the closer the height of the UAV is to the ground, the more evenly the crops are sprayed, but for safety reasons, 2m more is suitable, and on average a speed of 2m/s is most suitable for control. The proposed control system is expected to help develop intelligent services based on the use of various unmanned aerial vehicles in agricultural environments.
The purpose of this study was to find out how the importance and satisfaction of social commerce selection factors perceived by social commerce users differ, and how social commerce selection factors affect repurchase intention. A survey was conducted for 17 days from September 1st to September 17th, 2021, and 316 copies were used for empirical analysis. As a result of the analysis, the selection factors of social commerce were divided into six factors: safety, convenience, economy, informativity, collectivity, and SNS relevance. IPA results were in the order of convenience in the first quadrant, relevance and informativity in the second quadrant SNS, collectivity in the third quadrant, stability in the fourth quadrant, and economy. In the relationship between social commerce selection factors and repurchase intention, convenience, economy, safety, and information among social commerce selection factors were found to have a significant influence on repurchase intention. As a result of this study, it was confirmed that if existing social commerce was important at an affordable price, convenience is more important for non-face-to-face commerce in the COVID-19 situation. It is considered important to have a system that can continuously identify and preemptively respond to users' shopping trends through IPA.
The purpose of this paper is to examine how demand for labor affects the job seeker's decision on the level of investment in education. In the current paradigm of economic growth in which innovations and technological developments generally weaken the strength demand for labor and increases the uncertainty related to employment, this paper provides a theoretical framework that can be used as a basic framework in understanding the decision of investment in education in varying conditions of demand for labor. The following are the findings of this paper. First, the level of investment in education can generally be regarded to be higher as the demand for labor exacerbates but for the job seekers with a certain characteristic. Second, the Arrow-Pratt absolute risk-aversion measure is the characteristic of the job seeker that determines in what direction the job seeker changes in the level of investment in education, For an arbitrary level of demand for labor there exists a certain threshold which determines the minimum degree of risk-aversion required for the job seeker's Arrow-Pratt should go over to increase the level of education as demand for labor weakens. Third, the job seekers lower the level of education even though the demand condition in labor markets weakens if the compensation function does not depend on the level of education. This is surprising because it turns out that one of the reasons why job seekers invest in education is that they want to be recognized in their compensation for their level of education even when more education still raises the probability of employment.
With the advancement of wireless technology and the rapid growth of the infrastructure of mobile communication technology, systems applying AI-based platforms are drawing attention from users. In particular, the system that understands users' tastes and interests and recommends preferred items is applied to advanced e-commerce customized services and smart homes. However, there is a problem that these recommendation systems are difficult to reflect in real time the preferences of various users for tastes and interests. In this research, we propose a Fuzzy-AHP-based movies recommendation system using the Gated Recurrent Unit (GRU) language model to address a problem. In this system, we apply Fuzzy-AHP to reflect users' tastes or interests in real time. We also apply GRU language model-based models to analyze the public interest and the content of the film to recommend movies similar to the user's preferred factors. To validate the performance of this recommendation system, we measured the suitability of the learning model using scraping data used in the learning module, and measured the rate of learning performance by comparing the Long Short-Term Memory (LSTM) language model with the learning time per epoch. The results show that the average cross-validation index of the learning model in this work is suitable at 94.8% and that the learning performance rate outperforms the LSTM language model.
Journal of the Korean Association of Geographic Information Studies
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v.25
no.1
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pp.77-100
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2022
In the era of low growth, many provincial cities are experiencing population decline and aging. Population decline phenomena such as reduction of productive manpower, reduction of finances, deterioration of quality of life, and collapse of the community base are occurring in a chain and are being pushed to the brink of extinction of the cities. This study aims to propose a methodology to objectively estimate the employment creation centers and setting the basic unit of industrial-centered zoning by applying spatial statistical techniques and GIS for the application of the compact city plan as an efficient spatial management policy in a city with a declining population. In details, based on reviewing previous studies on compact city, 'employment complex index(ECI)' were defined considering the number of workers, the number of settlers, and the area of development land, the employment creation center was estimated by applying the 'Local Moran's I' and 'Getis-Ord's Hot-Spot Analysis'. As a case study, changes in the four years of 2013, 2015, 2017, and 2019 were compared and analyzed for Changwon City. As a result, it was confirmed that the employment creation center is becoming compacted and polycentric, which is a significant result that reflects the actual situation well. This results provide the basic data for functional and institutional territorial governance for the regional revitalization platform, and provide meaningful information necessary for spatial policy decision-making, such as population reduction, regional gross domestic product, and public facility arrangement that can respond to energy savings, transportation plans, and medical and health plans.
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