• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.65-68
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• 2001

In e-Marketplace, many companies are participating frequently either as supplier or as customer. Thus, electronic processing of transactions and flexible integration with participating companies' processes are required. These situation requires process integration using workflow and the exchange of transaction document using XML(eXtensible Markup Language). This paper presents methodologies to model business processes in e-Marketplace where many companies are participating and to exchange electronic messages using ebXML that have become a standard in electronic commerce. These methodologies can integrate and manage processes in electronic commerce environment, and can process ebXML standard documents efficiently, making electronic commerce more harmoniously in global market. The system constructed in this research supports business processes between companies by exchanging XML messages conforming Wf-XML and ebXML standards using SOAP protocol.

• 한국조사연구학회:학술대회논문집
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• 한국조사연구학회 2001년도 춘계학술대회
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• pp.87-108
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• 2001

현재 국내의 이동통신 가입자수와 무선인터넷 가입자수가 급증하면서 인터넷과 이동통신을 연계한 광고서비스나 직접 휴대폰에 광고를 제공하는 서비스가 등장하고 있다. 그러나 현재 이동통신이 제공되고 있는 광고서비스는 문자메세지를 이용하는 단문광고이고 제공되는 광고도 휴대폰 이용자가 직접듣고 확인해야 하는 불편함을 가지고 있다. 따라서 본 연구에서는 이동통신을 활용하여 고객의 니즈(needs)에 부합되는 광고를 제공할 수 있는 새로운 광고기법을 제안하고 이에 대한 수요 예측과 데이터마이닝 기법을 적용하여 이 광고에 대한 타겟마케팅 전략을 제시하고자 한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.1142-1149
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• 2003

Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on Implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic or process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming. cause-and-effect analysis. and so on. In this paper, we focused on developing analytic framework to design to-be business process structure. which can complement qualitative problem solving procedures. With effective use of IT as an enabler, we provide algorithmic framework applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework follows dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research ran fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

• Management Science and Financial Engineering
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• 제9권2호
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• pp.21-45
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• 2003

Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic of process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming, cause-and-effect analysis, and so on. In this paper, we develop algorithmic procedure applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework is employed from dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research can fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

• 한국조사연구학회지:조사연구
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• 제2권1호
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• pp.87-108
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• 2001

현재 국내의 이동통신 가입자수와 무선인터넷 가입자수가 급증하면서 인터넷과 이동통신을 연계한 광고서비스나 직접 휴대폰에 광고를 제공하는 서비스가 등장하고 있다. 그러나 현재 이동통신에 제공되고 있는 광고서비스는 문자메세지를 이용하는 단문광고이고 제공되는 광고도 휴대폰 이용자가 직접 듣고 확인해야 하는 불편함을 가지고 있다. 따라서 본 연구에서는 이동통신을 활용하여 고객의 니즈(needs)에 부합되는 광고를 제공할 수 있는 새로운 광고기법을 제안하고 이에 대한 수요예측과 데이터마이닝 기법을 적용하여 이 광고에 대한 타겟마케팅 전략을 제시하고자 한다.

• 전자통신동향분석
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• 제36권4호
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• pp.145-153
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• 2021

Data imputation is a crucial issue in data analysis because quality data are highly correlated with the performance of AI models. Particularly, it is difficult to collect quality time-series data for uncertain situations (for example, electricity blackout, delays for network conditions). Thus, it is necessary to research effective methods of time-series data imputation. Many studies on time-series data imputation can be divided into 5 parts, including statistical based, matrix-based, regression-based, deep learning (RNN and GAN) based methodologies. This study reviews and organizes these methodologies. Recently, deep learning-based imputation methods are developed and show excellent performance. However, it is associated to some computational problems that make it difficult to use in real-time system. Thus, the direction of future work is to develop low computational but high-performance imputation methods for application in the real field.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.119-135
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• 2024

The research is centered on veteran educators in the field of early childhood education who possess more than 20 years of teaching experience and have been recognized with awards for their outstanding achievements. The selection of participants was based on specific criteria, such as the number of years of experience and recognition received from the Ministry of Education's Teaching Innovation Competition in Korea. Eight teachers who met the specified criteria were selected to participate in the study. A qualitative phenomenological research study was carried out using semi-structured interviews to gain insight into the experiences and perspectives of the participants. The study identified five main themes: cultivating interpersonal relationships, establishing interactive classroom settings, providing impactful educational methodologies, facilitating healthy habits and character education, and creating a supportive environment for teachers' well-being. The study seeks to improve comprehension of teaching methodologies and offer suggestions for professional development, teacher training, and educational policies.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.307-313
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• 2024

This study explores the integration of Explainable Artificial Intelligence (XAI) and network science in healthcare, focusing on enhancing healthcare data interpretation and improving diagnostic and treatment methods. Key methodologies like Graph Neural Networks, Community Detection, Overlapping Network Models, and Time-Series Network Analysis are examined in depth for their potential in patient health management. The research highlights the transformative role of XAI in making complex AI models transparent and interpretable, essential for accurate, data-driven decision-making in healthcare. Case studies demonstrate the practical application of these methodologies in predicting diseases, understanding drug interactions, and tracking patient health over time. The study concludes with the immense promise of these advancements in healthcare, despite existing challenges, and underscores the need for ongoing research to fully realize the potential of AI in this field.

• 동의생리병리학회지
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• 제30권6호
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• pp.419-425
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• 2016

This study analyzed research methodologies based on network pharmacology to build a new system architecture optimized for Korean Medicine research. Results form studies using network pharmacology were collected and analyzed to evaluate the strength and weakness. Finally, an improved system architecture was proposed. Whether the predicted effects of drugs or herbs from network pharmacological analyses were in agreement with those from conventioanl knowledge of Korean Medicine was evaluated. These results were used to verify the applicability of research methodologies to the modern pharmacology and Korean Medicine respectively. Eighteen papers using TCMSP were collected and analyzed. The results suggest that the research methodology based on network pharmacology is appropriate only for the modern pharmacology but not for Korean Medicine. Information about compound-compound, herb-herb and drug-compound interactions need to be considered. We propose the modified system architecture with those information.

• 방사성폐기물학회지
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• 제18권4호
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• pp.517-536
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• 2020

The radionuclide inventory in radioactive waste from nuclear power plants should be determined to secure the safety of final repositories. As an alternative to time-consuming, labor-intensive, and destructive radiochemical analysis, the indirect scaling factor (SF) method has been used to determine the concentrations of difficult-to-measure radionuclides. Despite its long history, the original SF methodology remains almost unchanged and now needs to be improved for advanced SF implementation. Intense public attention and interest have been strongly directed to the reliability of the procedures and data regarding repository safety since the first operation of the low- and intermediate-level radioactive waste disposal facility in Gyeongju, Korea. In this review, statistical methodologies for SF implementation are described and evaluated to achieve reasonable and advanced decision-making. The first part of this review begins with an overview of the current status of the scaling factor method and global experiences, including some specific statistical issues associated with SF implementation. In addition, this review aims to extend the applicability of SF to the characterization of large quantities of waste from the decommissioning of nuclear facilities.