• Korean Journal of Artificial Intelligence
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• v.5 no.2
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• pp.26-42
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• 2017

This study perceived that there are limits to prompt and accurate monitoring when an accident occurs and the correct information of egg production stage, such as the date of spawning, cleaning, and refrigerating cannot be identified, since eggshell codes using barcode only show numbers identifying a city and province and the name of producers. To fix this problem, this study partially suggested the RFID (Radio Frequency Identification) technology and IoT-based Connected System. The proposed system in this study shares data with related agencies as the system of agricultural and livestock product information runs as the main server, and the database information of the proposed system is provided by farmhouses, distributors, and sellers. Through various media such as a webpage or mobile application built to provide the relevant information, customers can search and obtain information about agricultural and livestock products they want. Since the information on an entire process is open to the public, information ranging from simple to clear, additional ones such as hazardous elements can be viewed.

• Knowledge Management Research
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• v.16 no.4
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• pp.35-45
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• 2015

Fintech, which means the convergence of finance and information technology, becomes a hot topic in the financial sector. Through innovative activities on financial services, ICT(Information and Communication Technology) is integrated into the overall financial industry, and a new form of financial services could be expected to improve the existing financial system. On the other hand, fintech services are relatively vulnerable to security issues. Due to the process simplication and the channel fusion, the leakage of personal and financial informations, authentication bypass, phishing, and pharming are getting more concerned. In this study we investigated the security risk of fintech services in the viewpoints of service provider, technology adoption, and security policy. The possible countermeasures to reduce those risks are suggested because security is an important criterion for selecting financial services. This study basically offers quantification of the potential security risks and step-by-step control measures about business processes in the fintech services. The suggested security model includes user authentication, terminal security, payment information protection, API(Application Programming Interface) security, and abnormal transaction monitoring. This study might contribute to an understanding of the security risks and some possible measures for mitigating those risks on the practical perspective.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.149-156
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• 2003

Recently, the importance of plant maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as riskbased inspection(RBI), fitness for service guidelines(FFS), plant lifecycle management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system, which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.11
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• pp.1279-1287
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• 2009

An increasingly competitive business environment has been concentrated on industries to reduce the operating costs. Industries such as gas, oil, petrochemical, chemical, and electric power have employed for the operation and used for large equipment or structures that require a high capital investment. In order to meet these requirements, the industries are increasingly moving toward saving the experimental verification and computer simulation. Therefore industries to reduce the maintenance costs without compromising the operational safety have been forced on finding for better and more efficient methods to inspect their equipment and structures. In this study, it focused on the development the real-time non-contract monitoring system as an efficient tool for the experimental study of weld defects based on the relationship between the measured voltage and input parameters.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.11
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• pp.1933-1940
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• 2003

Recently, the importance of plant maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as risk-based inspection(RBI), fitness for service guidelines(FFS), plant lifecycle management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance.

• Land and Housing Review
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• v.9 no.2
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• pp.1-7
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• 2018

The purpose of this study is to suggest diagnosis indicators and checklist for urban regeneration projects by Korea Land & Housing Corporation(LH). There are already deprivation indices in the Urban Regeneration Act but not any additional guidelines in the practical aspect. In order to use the diagnosis indicators, the central government should supply more specific checklist to the actors in the regeneration field. The key actor of many stakeholders is LH as an operator and implementer in the regeneration projects. So far, LH has developed housing and cities and there haven't been any obvious changes to realize public benefit in the deteriorated area. From now on, It has to plan, implement, and manage a lot of regeneration projects entirely. Therefore, It is necessary to develope and apply the diagnosis indicators and checklist based on projects. This paper came up with the 6 factors related with LH business field : housing, urban infrastructure, public service, private service, environment, and smart city. For these, 32 diagnosis indicators and 72 checklists were selected that can include both physical and qualitative indicators. These can be used not only for the selection of regeneration projects but also for the process monitoring such as planning and implementation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.52-61
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• 2012

The design method for cumulative sum (CUSUM) control charts, which can be robust to autoregressive moving average (ARMA) modeling errors, has not been frequently proposed so far. This is because the CUSUM statistic involves a maximum function, which is intractable in mathematical derivations, and thus any modification on the statistic can not be favorably made. We propose residual-based robust CUSUM control charts for monitoring autocorrelated processes. In order to incorporate the effects of ARMA modeling errors into the design method, we modify parameters (reference value and decision interval) of CUSUM control charts using the approximate expected variance of residuals generated in model uncertainty, rather than directly modify the form of the CUSUM statistic. The expected variance of residuals is derived using a second-order Taylor approximation and the general form is represented using the order of ARMA models with the sample size for ARMA modeling. Based on the Monte carlo simulation, we demonstrate that the proposed method can be effectively used for statistical process control (SPC) charts, which are robust to ARMA modeling errors.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.614-616
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• 2003

최근 인터넷 전자 상거래 시장의 급속한 성장과 발전은 웹어플리케이션 기술을 이용해 기업이 제공하는 서비스를 명세하고 이를 통한 기업간 서비스 연동 플렛폼 구축에 대한 관심으로 확대되고 있다. 인터넷을 기반으로한 전자 거래 협업을 위한 표준 기술로써 ebXML은 기업간 거래 프로세스를 모델링하여 공용 저장소에 등록하고 이를 토대로 기업간 협업을 명세하여 거래 비즈니스 프로세스의 수행을 자동화 시켜주는 기술이다. e-Logistics 비즈니스 프로세스 자동화 시스템은 ebXML 표준스팩을 기반으로 하여 기업간 전자 물류 거래 프로세스를 모델링하고 협업명세 정보와 연관된 비즈니스 프로세스를 해석하여 수행을 자동화하여 이들의 진행 상태와 수행결과에 대한 모니터링 정보를 제공한다. 비즈니스 상태 모니터링 도구는 e-Logistics 플랫폼과 EJB Framework 환경을 바탕으로 설계 및 구현 되었으며 비즈니스 프로세스의 원활한 수행에 필요한 상태 모니터링 정보와 거래 문서의 송수신 기능을 제공한다. 본 논문에서는 ebXML 비즈니스 프로세스 상태 모니터링을 위한 모니터링 도구의 시스템 구조와 주요 기능을 언급하고 설계 요구사항 및 클래스 구조도를 제시한다. 또한 BPMS 엔진 컴포넌트 모듈과의 연동 시나리오 및 구현된 사용자 인터페이스에 대해서 기술한다.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.239-251
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• 2018

In existing cloud services, information security and privacy concerns have been worried, and have become one of the major factors that hinder the popularization and promotion of cloud computing. As the cloud computing infrastructure, the security of virtual machine systems is very important. This paper presents an immune-inspired intrusion detection model in virtual machines of cloud computing environment, denoted I-VMIDS, to ensure the safety of user-level applications in client virtual machines. The model extracts system call sequences of programs, abstracts them into antigens, fuses environmental information of client virtual machines into danger signals, and implements intrusion detection by immune mechanisms. The model is capable of detecting attacks on processes which are statically tampered, and is able to detect attacks on processes which are dynamically running. Therefore, the model supports high real time. During the detection process, the model introduces information monitoring mechanism to supervise intrusion detection program, which ensures the authenticity of the test data. Experimental results show that the model does not bring much spending to the virtual machine system, and achieves good detection performance. It is feasible to apply I-VMIDS to the cloud computing platform.

• International Commerce and Information Review
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• v.17 no.3
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• pp.225-250
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• 2015

While strategic alliance of multinational corporation has boost, opportunistic behavior is also increased recently. This study examines the cause of opportunism in strategic alliance by focusing on the development of opportunistic behavior, a process in which resource complementarity and risk perception decides attitudinal direction, ultimately leading to opportunism. Empirical test based on 257 alliance participants shows that risk perception had a greater influence on firms' attitudinal and behavioral directions compared to benefit perception. Notably, relational risk heavily influenced firms' competitive attitude and opportunistic behavior. Finally, the study concludes that firms' competitive and independent attitude caused by risk perception negatively influence alliance outcome. Based on the results, it is drawn that alongside the external tools such as surveillance, control, monitoring or legalistic pleas, management of risk perception during the alliance process has significance influence on the achievement of alliance goals.