• The Journal of Society for e-Business Studies
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• v.9 no.4
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• pp.65-83
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• 2004

Keen competence in business environments induces companies to introduce Supply Chain Management (SCM), which is accelerated by emerging information technology. Consequently, supply chain integration requires interacting and information sharing among the companies participating in the supply chain. Web services, platform independent technologies, are recently used for SCM. However, web services themselves do not provide high level supply chain integration. Therefore, the ways to control and manage global processes over supply chain need to be developed. In this paper, we introduce a method of executing and managing supply chain process using Business Process Management (BPM) system. BPM system is a software system to support an efficient execution and management of complex business processes, and it is applied to supply chain processes . The supply chain processes can be regarded network of activities, each of which is served as web service and related to one of the participants. Our approach enables not only efficient managing but also effective monitoring of the process, which can be a good basis for improvement of the processes. For a speedy execution of processes, we provide a method to support decision making in course of executing process by software agents, which are also web services.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.10
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• pp.477-482
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• 2016

As being the advanced analytics indispensable on big data for agile decision-making and tactical planning in enterprises, distributed processing platforms, such as Hadoop and Spark which distribute and handle the large volume of data on multiple nodes, receive great attention in the field. In Spark platform stack, Spark SQL unveiled recently to make Spark able to support distributed processing framework based on SQL. However, Spark SQL cannot effectively handle advanced analytics that involves machine learning and graph processing in terms of iterative tasks and task allocations. Motivated by these issues, this paper proposes the design of SQL-based big data optimal processing engine and processing framework to support advanced analytics in Spark environments. Big data optimal processing engines copes with complex SQL queries that involves multiple parameters and join, aggregation and sorting operations in distributed/parallel manner and the proposing framework optimizes machine learning process in terms of relational operations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.157-168
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• 2013

This study is for finding out Career-barrier of the disabled, and for analyzing the effect of Career-barrier on the dysfunctional career-thought. For this study, 180 disabled people were surveyed. The results are as follows; First, the career-barriers that the disabled people perceive are in order; lack of occupational information, lack of social support, low self-concept clarity, low self-efficiency, and conflict with significant-others. Secondly, difference of career-barrier, caused by the traits of the disabled, has influenced the lack of self clarity and occupational information. In addition, among the types of the disabilities, it is proven that the psychological disability highly correlated to the social support, unlikely to gender difference and job experience. Thirdly, the most influential reason on the decision-making confusion for finding job among the sub-variables of dysfunctional career-thought were; low self-concept clarity, conflict with significant-others, and low self-efficiency. While it turned out that the most influential career-barrier on the performance anxiety for disabled people were low self-efficiency and conflict with significant-others.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.133-161
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• 2018

Despite the amount of government budget and resources used for female immigrants who married Korean spouses, it has not been evaluated yet whether the services designed for the immigrants are actually delivered to potential users with social needs. This study is an attempt to identify moderating factors associated with perceived needs and utilizing services of the Multicultural Family Support Centers. The National Survey on Multicultural Families 2015 is used for the analysis. Findings are as follows: the immigrant with better Korean communication skills would use the center services more when they have needs; the immigrants who lack skills were more likely to use center services in spite of the needs. Secondly, the more female spouses satisfied with their marriages, they were less likely to use the services; however, the moderating effect was not significant, On the other hand, Korean male spouses' patriarchal attitude was statistically significant. According to the results, practical and political implications were suggested.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.526-537
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• 2019

This study researched the effect of application systems for media industry by using machine learning method focusing on industrial organization theory. First, for applying the system successfully, formation of sympathy about needs is required. The introduction of machine learning can bring change in each stage of value chain especially, decision making process of investment and production process. In investment side, objective performance prediction data can enhance efficiency, and content diversity can decrease with concentrated investment phenomenon to secured content by the system. In production side, if the system support to make creators decrease simple repeat works, production efficiency will increase.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.228-235
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• 2019

The purpose of this study is to explore the experiences and challenges of public guardianship services project for the mental disabled as a system of supporting the decision-making and the rights advocacy. For this purpose, interviews with 11 social workers who act as public guardians were conducted and a model of practice was suggested through analysis using the grounded theory of Strauss and Corbin(1998). As a results, the possibility of rights advocacy through public guardian services for the mentally disabled, the positive change of attitude of the facilities and the establishment of direction for the restoration of rights for the mentally disabled were derived. Public guardians experienced excessive empowerment of their guardians or difficulties in the process of their duties, but were also able to defend the rights of the mental disabled and support self-determination right. Through this study, expansion of budgets and expansion of beneficiaries for public guardianship services, establishment of infrastructure for integration in the community, set-up a support organization for public guardian services and Raising awareness of the mental disabled and public guardian services were suggested.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.241-247
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• 2021

As a way to solve the side effects of urban development, a smart city with information and communication technology converges in the city is being built. For this, a smart city platform should support the development and integration of smart city services. Therefore, the underlying technology and the functional and non-functional requirements that the smart platform must support were analyzed. As a result of this, we classified the Internet of Things, cloud computing, big data and cyber-physical systems into four categories as the underlying technologies supported by the smart city platform, and derived the functional and non-functional requirements that can be implemented and the reference model of the smart city platform. The reference model of the smart city platform is used for decision-making on investment in infrastructure technology and the development scope of services according to functional or non-functional requirements to solve specific city problems for city managers. It provides platform developers with guidelines to identify and determine the functional and non-functional requirements and implementation technologies of software platforms for building smart cities.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.25-31
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• 2021

Moving toward an aged society, traffic accidents involving elderly drivers have also attracted broader public attention. A rapid increase of senior involvement in crashes calls for developing appropriate crash-severity prediction models specific to senior drivers. In that regard, this study leverages machine learning (ML) algorithms so as to predict the severity of vehicle-pedestrian collisions induced by elderly drivers. Specifically, four ML algorithms (i.e., Logistic model, K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machine (SVM)) have been developed and compared. Our results show that Logistic model and SVM have outperformed their rivals in terms of the overall prediction accuracy, while precision measure exhibits in favor of RF. We also clarify that driver education and technology development would be effective countermeasures against severity risks of senior driver-induced collisions. These allow us to support informed decision making for policymakers to enhance public safety.

• Journal of Soil and Groundwater Environment
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• v.27 no.spc
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• pp.1-18
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• 2022

A conceptual site model is used to support decision-making of response strategy development, determination, and implementation within a risk-based contaminated site management system. It aims to provide base information of the relevant site characteristics and surface/subsurface conditions in order to understand the contaminants of concern and the associated risk they pose to the receptors. This study delineated the technical details of conceptual site model development, and discussed the possibility of applying it in domestic subsurface contamination management. Conceptual site models can be developed in various formats such as tables, diagrams, flowcharts, and figures. Contaminated sites are managed for a long period of time following the steps of investigation, remediation design, remediation, verification, and post-remedation management. The conceptual site model can be enhanced in each stage of the contaminated site management based on the continuously updated information on the site's subsurface environment. In the process of enhancement for conceptual site model, precision is gradually improved, and it can evolve from a conceptual and qualitative form to a more quantitatvive and three-dimensional model. In soil pollution management, it is desirable to incorporate the conceptual site model into the soil scrutiny system to better assess the current status of the contaminated site and support follow-up investigation and management.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.127-136
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• 2022

As technological development continues, platforms with more diverse structures are emerging. Existing research predicts that a new structure based on technology and innovation will affect the two-sided market. This study evaluated the decentralized identifier (DID) platform, a new platform based on blockchain technology, of the importance of this platform from the perspective of the two-sided market. Using the Analytic Network Process, IT, platform, and blockchain experts conducted a dual comparison survey. Data with a consistency ratio value of 0.1 or less were selected and analyzed for 12 data. The research results showed the importance of service quality, policy support, openness, and uncertainty. This study is expected to be used to support the development of strategic decision-making for blockchain and DID platform-based business companies.