• Journal of the Economic Geographical Society of Korea
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• v.3 no.2
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• pp.23-42
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• 2000

This study is to investigate spatial patterns of urban labor market growth driven by marketization process and its implication for understanding regional uneven development in post-reform China. Using a shift share analysis, it shows that the geography of employment growth in China's industrial labor market has closely interacted with the space economy of industrial output, which in turn indicates a deepening of economic reform. By decomposing net employment growth into output and productivity effects, it is shown that the non-state sector holds rapid growth of both output and productivity and contributes to net employment growth through positive net shifts. On the contrary, this study also presents that the state sector with relative decrease in output and productivity holds employment decline effects during the reform period. Since there is a significant spatial dimension for the trend above, it is contended that labor market dynamics together with space economy of industrial production play an important role in determining regional patterns of economic development. In addition, through situating this investigation in the context of structural and institutional changes in the reform period, our understanding of regional patterns of labor market growth will be much furthered.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.39-46
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• 2012

It is growing in size of database in companies. This caused to develope data mining techniques to predictive information from the large database. Costs and other effects can give variety of sales exploding through the analysis of the differences. Analysis of the various classification techniques, various angle can be analyzed point of view of the area information. The analysis of rules and patterns associated with a large amount of useful information from the database can be analyzed effectively. Goods store were analyzed using association rules, one of the data mining analysis techniques. Through this type of existing products according to analyze customer buying patterns, data mining has been studied to establish strategic marketing analysis.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.99-107
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• 2019

The "Risk management" and "Security monitoring" activities for cyber security are deeply correlated in that they prepare for future security threats and minimize security incidents. In addition, it is effective to apply a pattern model that visually demonstrates to an administrator the threat to that information asset in both the risk management and the security system areas. Validated pattern models have long-standing "control chart" models in the traditional quality control sector, but lack the use of information systems in cyber risk management and security systems. In this paper, a cyber Security Risk Monitoring (SRM) system that integrates risk management and a security system was designed. The SRM presents a strategy for applying 'security control' using the pattern of 'control charts'. The security measures were integrated with the existing set of standardized security measures, ISMS, NIST SP 800-53 and CC. Using this information, we analyzed the warning trends of the cyber crisis in Korea for four years from 2014 to 2018 and this enables us to establish more flexible security measures in the future.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.79-87
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• 2011

Cost control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. This paper identified the variables for practical cost control process first. A survey questionnaire was developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that engineering aspects of cost management has recently been strongly stressed in the construction industry. Applying various types of progress measurement method are getting popular, and the level of details in collecting job site cost data are prevalent. Cost forecasting are performed more frequently. These trends indicates the recent efforts by Korean general contractors to achieve competitive advantages in the globalized market.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.88-96
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• 2011

Schedule control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. In this context, this paper surveyed the patterns and trends of schedule control practice of Korean general contractors. Schedule control process as compared to schedule reduction is focused in this paper. The variables for practical schedule control process were identified first. A survey questionnaire was then developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that scheduling processes in practice have been significantly enhanced in terms of software tools, manuals, and capabilities of engineers.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.231-241
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• 2019

Web Usage Mining (WUM) is one part of Web mining and also the application of data mining technique. Web mining technology is used to identify and analyze user's access patterns by using web server log data generated by web users when users access web site. So first of all, it is important that the data should be acquired in a reasonable way before applying data mining techniques to discover user access patterns from web log. The main task of data acquisition is to efficiently obtain users' detailed click behavior in the process of users' visiting Web site. This paper mainly focuses on data acquisition stage before the first stage of web usage mining data process with activities like data acquisition strategy and field extraction algorithm. Field extraction algorithm performs the process of separating fields from the single line of the log files, and they are also well used in practical application for a large amount of user data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.567-575
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• 2020

As online social networks are used as a critical medium for modern people's information sharing and relationship, their users are increasing rapidly every year. This not only increases usage but also surpasses the existing media in terms of information credibility. Therefore, emerging marketing strategies are deliberately attacking social networks. As a result, public opinion, which should be formed naturally, is artificially formed by online attacks, and many people trust it. Therefore, many studies have been conducted to detect agents attacking online social networks. In this paper, we analyze the trends of researches attempting to detect such online social network attackers, focusing on researches using social network graph characteristics. While the existing content-based techniques may represent classification errors due to privacy infringement and changes in attack strategies, the graph-based method proposes a more robust detection method using attacker patterns.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.5
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• pp.80-92
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• 2017

The popularity of cloud computing has led to the emergence of various types of cloud services, and the hybrid cloud, a deployment model that integrates public cloud and private cloud and offset their shortcomings, is in the spotlight recently. However, the complexity of different clouds integration and the lack of related integration solutions have delayed the adoption of hybrid cloud and cloud strategy by companies and organizations. Therefore, in this paper, we propose a cloud integration mechanism to solve the integration complexity problem. The cloud integration mechanism proposed in this paper consists of integration script that solves the cloud integration by the script based on the hybrid cloud function, a process of creating and executing it, and a script creation model applying the software design pattern. By integrating the various cloud services, we can quickly generate scripts that meet the user's needs. It is expected that the introduction of hybrid cloud and the acquisition of cloud strategy can be accelerated through this proposed integration mechanism.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.247-255
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• 2020

Currently, urban regeneration is carried out mostly in a permanent and fixed way of planning, and due to the nature of the master plan, it is limited to immediately accepting the opinions of residents. In this study, the factors of idle space were derived based on a temporary use strategy, and the direction of idle space was presented by comparing the importance of experts with the survey of residents' perceptions and preferences. As a result, residents preferred to improve the aging physical environment first because of the target location characteristics, while experts ranked it in line to reflect the importance of the use of temporary uses that can quickly improve the urban environment. Therefore, it is desirable to recognize the importance of the temporary use strategy and to refine the priorities of the two groups and conduct a temporary test to derive the optimal utilization measures and reflect them in the master plan. In order to implement a temporary use strategy in the future, it is necessary to present a space utilization plan that reflects detailed prior investigation through analysis of target location characteristics and usage patterns.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3172-3179
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• 2015

This study suggests one of English teaching methods to improve English speaking proficiency for adult English learners. Contrary to the traditional English conversation teaching trends such as memorization of specific patterns or grammar-focused practices, the study introduces a storytelling based teaching of English speaking. To theoretically support the storytelling based English speaking teaching, the study investigates the possibility of the teaching method in three ways. First, the 12 speaking strategies focusing on contents of a story are introduced in the way of securing speech amounts as much as possible. Next, the five rhetoric components by Aristotle are introduced to relate to the storytelling teaching for the purpose of achieving the goal of speaking, which is to deliver what a speaker want to say more persuasively. Finally, through the investigation of the learner strategy uses, the possibility of storytelling English speaking teaching can be expected regardless of learners' low level of English proficiency.