• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.426-429
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• 2003

In the construction process, there are many change orders differing to the initial contracts came from the social needs and environmental changes. Most of them will impact to the construction process so that its effects occur project delays. Time extension and liquidated damage in the construction process come from schedule delay whether it is excusable or not non-excusable by the owner. However, those become the delay claims if the owner and the contractor are not agreed on this situation. One of the most important thing on the delay claims is the calculation of delay. The purpose of this study is to present the method of the time delay calculation by comparison of As-Planned schedule, As-Built schedule including all delay and As-Built schedule absent owner delay.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.159-183
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• 2014

This study is to deeply investigate the process experience of making the local organization with the supervisors and the social workers-in-field with the research question, 'how is the project process of community building leaded by community welfare centers'. For this, 6 community welfare centers were selected among 22 ones participated in the public contest of Seoul Welfare Foundation, and 15 line workers including the top supervisors working there were selected as the research participants and interviewed. The interview source materials of research participants were analyzed using the method of consistent comparison of Strauss and Corbin(1996). According to the result of the research, the project process of community building leaded by community welfare centers indicated 4 phases such as 'the step of change of recognition', 'the step of mutual communication', 'the step of cooperation expansion', and 'initiative construction'. With the result of this study, I supposed political and practical tasks for promoting that local residents voluntarily build the community and the change of paradigm that is community welfare centers for local residents. Also, this study will be relevant that the result of this study is offered as base line data for extending theoretical and practical discussion about building community depending on characteristic of community and community welfare centers.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.55-63
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• 2021

Since social big data often includes new words or proper nouns, statistical morphological analysis methods have been widely used to process them properly which are based on the frequency of occurrence of each word. However, these methods do not properly recognize compound nouns, and thus have a problem in that the accuracy of keyword extraction is lowered. This paper presents a method to extract compound nouns in keyword analysis of social big data. The proposed method creates a candidate group of compound nouns by combining the words obtained through the morphological analysis step, and extracts compound nouns by examining their frequency of appearance in a given review. Two algorithms have been proposed according to the method of constructing the candidate group, and the performance of each algorithm is expressed and compared with formulas. The comparison result is verified through experiments on real data collected online, where the results also show that the proposed method is suitable for real-time processing.

• The Journal of Information Systems
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• v.29 no.2
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• pp.265-286
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• 2020

Purpose Among various psychosocial factors, negative social comparison, attention blocking to stimuli, and cognitive interference via information overload are considered most critical in hindering the effective performance improvement of computer-based idea generation. Given that the effect of negative social comparison along with a plausible solution based on the notion of performance feedback and goal setting has been successfully addressed, this study focused on the remaining issues of "attention blocking to stimuli and cognitive interference via information overload" and attempted to find a way to alleviate the effect of such process losses on performance. Design/methodology/approach A 2 × 4 between-subjects design was used, crossing cognitive ability (high and low) and personality (extroversion and introversion). Five subjects per each treatment were randomly selected to make the sample size equal. The group simulator was used to measure individual-level performance. The dependent variables were the quantity of and quality score of ideas. The manner by which these performance measures were operationalized was consistent with prior studies. An additional analysis using the number of diverse ideas was also conducted. Findings Three arguments were made in this study: (1) high cognitive individuals would perform better than low cognitive individuals, (2) extraverted individuals would perform better than introverted individuals, and (3) cognitive ability and personality would interact such that individuals in Q1 would have the highest performance. Cognitive ability had an effect on quality not quantity. Personality had an effect on both quantity and quality. An interaction between cognitive ability and personality was not found due to small sample size despite the use of the group simulator.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.789-802
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• 2022

The purpose of this study is to present implications for effective operation of domestic school-based mental health services by comparing those in Singapore the United States, Australia. Based on reviewing the public data and previous article, researchers conducted a comparative study on the background, history, goal, and managing process of overseas and domestic organizations. The result of comparison in overseas cases suggests that the foundation of school-based mental health project was laid with the national health plan and detailed frame work for implementation. It was also discussed that domestic school-based mental health project is still in introduction stage, while foreign services were delivered efficiently through the leading agency and the cooperation between government ministries and institutions were active. It suggests that cooperation between government ministries, preparation of an effective operating system, and various approaches for students, guardians and teachers are need for domestic school-based mental health project.

• The Journal of Korean Society for School & Community Health Education
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• v.14 no.2
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• pp.59-73
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• 2013

Objectives: Health promotion policies have been developed and implemented in most developed countries. The purpose of this study is to compare the national health promotion plans among Korea, Japan and USA. Methods: Data were collected and involved overview of health promotion plans, formulation of policy, evaluation, monitoring and research, implementation in each countries. I got the some literatures over the governmental websites related to the health promotion. The data from each country were analyzed for comparison. Results: The goals of Healthy People 2020 are to attain high-quality, longer lives, to achieve health equity, to create social and physical environments, to promote quality of life across all life stages. Those of Healthy Japan 21 are increasing the year of healthy life and reducing health disparities. and Those of Health Plan 2020 are prolonging of healthy age and improvement of healthy equity. The number of topic areas and objectives of health promotion in each countries were different. Healthy People 2020 lacks participation of community people and stakeholders in the process of planning, impletation, evaluation. Conclusion: The planning models of health promotion were different among countries. But they reflect the social determinants of health. The health plan goals of Korea were similar to Japan. but were different from USA. The implementation and evaluation systems of USA and Japan were systematic and performed well than those of Korea.

• Journal of the Korea Society of Computer and Information
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• v.23 no.7
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• pp.19-26
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• 2018

This paper presents a structuring process of unstructured social network service (SNS) messages on rail services. We crawl messages about rail services posted on SNS and extract keywords indicating date and time, rail operating company, station name, direction, and rail service types from each message. Among them, the rail service types are classified by machine learning according to predefined rail service types, and the rest are extracted by regular expressions. Words are converted into vector representations using Word2Vec and a conventional Convolutional Neural Network (CNN) is used for training and classification. For performance measurement, our experimental results show a comparison with a TF-IDF and Support Vector Machine (SVM) approach. This structured information in the database and can be easily used for services for railway users.

• Journal of the Korean Institute of Educational Facilities
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• v.21 no.1
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• pp.3-11
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• 2014

The policies is always changes according to the changing times, and changes take place in educational facilities welfare policy. Early childhood facilities, is no exception. Recent, increase in the number of kindergarten and kindergarten children according to policy changes of government's active welfare. This change in pattern, policy changes and increased support to know the impact on the community, and this is not just a simply agenda that they need to be recognized social change. In addition, it can be seen changes in relevant laws and educational process according to childhood policy change flow and depending on social change. In this study, comparative study infants and installation of the facility based on criteria, ensuring standards of early childhood facility site, facilities of evolution of infants care act, act infants, infants of activities safety management. And Standards and facilities that are required to change the direction of the revision is for the purpose of research through changes in kindergarten curriculum to respond the policies flow. Research methods are literature on the various laws and research analysts, leading comparison of different child care and child care policy changes in laws and regulations to review materials are analyzed.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.261-271
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• 2019

The study aims to investigate corporate social responsibility (CSR) best practices of the world automotive industry - Peugeot, BMW, Ford, Hyundai and Toyota among others - and recommend that they plan their business strategies and managerial responses accordingly. Based on the comparative research and case studies, this research finds that all five automobile manufacturers have taken very similar measures and actions in order to establish and maintain a high level of CSR practices. Sustainability was a core value in all five companies and served as a guiding principle in every aspect and approach of their business. This study finds that all five companies have CSR strategies in place to increase energy efficiency as well as reduce the usage and wastage of water in their production and plants. This research also finds that all companies monitor their suppliers and their own production process to ensure that they maintain their CSR standards. More impressively, this sustainable management practice is transferred along the companies' supply chain through education and training. Their suppliers and business partners are closely monitored to make sure that their high CSR standards are respected and followed. However, we find that there also are some differences in terms of their CSR deliveries and activities.