• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.4
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• pp.750-760
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• 1994

In this paper we proposed a multiplexing scheme of real time and non-real traffics in which a congestion control is embedded. Real time traffics are assumed to be nonqueuable and have preemptive priority over non-real time traffics in seizing the common output link, whereas the non-real time traffics wait in the common buffer if the output link is not available for transmission. Real time traffics are encoded according to the bandwidth reduction strategy, paticularly when congestion occurs among non-real time traffics. This scheme provides us an efficient way for utilizing the costly bandwidth resources, by accommodation as many real time traffics as possible with gauranteeing its mimimum bandwidth requirements, and also resloving the congestion encountered among non-real time traffics. We describe the system as a Markov queueing system, provide the analysis by exploiting the matrix geometric method, and present the performance for various performance measures of interest. Some numerical results are also provided.

• Journal of Platform Technology
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• v.8 no.1
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• pp.10-15
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• 2020

Recently, various industrial sectors have introduced cloud service actively in their business because cloud computing technology enables storage·management and analysis·utilization of data easily in anytime, anywhere. Especially in financial sector, the business provocatively adopted the service and creates various innovative cases; furthermore, already in abroad, the sector has been accelerating digitization of analysis in cases of credit risk, financial fraud data, stock trading etc. On the contrary, in the domestic financial industry, not only the cloud service introduction and innovation cases are underperformed, but most of them are focused on the back-office service. Most Korean financial corporations are burdened with the adoption of cloud service due to various conservative regulatory requirements, such as regulations on data storage and management, regulations on privacy, and other tasks such as developing decision models and establishing responsibility standard for security incidents and service failures. In this study, it would be aimed to contribute to promote the introduction of the cloud in the domestic financial sector by drawing up preemptive challenges and inspecting priorities.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.843-852
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• 2022

Despite continuous safety management, the death rate of construction workers is not decreasing every year. Accordingly, various studies are in progress to prevent construction site accidents. In this paper, we developed an AI-based priority inspection target selection model that preferentially selects sites are expected to cause construction accidents among construction sites with construction costs of less than 5 billion won (KRW). In particular, Random Forest (90.48 % of accident prediction AUC-ROC) showed the best performance among applied AI algorithms (Classification analysis). The main factors causing construction accidents were construction costs, total number of construction days and the number of construction performance evaluations. In this study an ROI (return of investment) of about 917.7 % can be predicted over 8 years as a result of better efficiency of manual inspections human resource and a preemptive response to construction accidents.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.1-26
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• 2020

Due to the spread of Corona 19 around the world, Infectious Disease Medicine and New Medical Devices such as Diagnostic Agent are being rapidly developed and launched, and for the fast supply and demand of these, each country has eased import regulations or has implemented policies for fast approval(NIDS, 2020). On the other hand, New Developed Medical Devices that are not related to New Infectious Diseases, they are still entering the market through strict licensing and licensing regulations, such as delay and cancellation in the test inspection process, etc. Therefore, This Study specialized in the government-managed laws encountered when New Medical Devices enter the market, derive Factors influencing the Strength of Regulations, analyzes the Strength of Regulations, and proposes a Regulatory Response Framework. The Research Method was conducted by Literature Research, was applied by Failure Mode and Effects Analysis(FMEA) Method, Expert Interview(1st): Idea Collection, Expert Interview(2nd): Validation, and Priority through the Application Process of FMEA Method. A Method of Quantifying the Intensity of Regulation was proposed by multiplying the Impact of the Influencing Factors for each stage of regulation and the Burden Impact for each type of Regulatory Affairs to find the Importance of the Regulatory Factors and multiplying the Severity of the Regulatory Impact. The Implications are that major overseas countries and the Korean government are actively responding with Special Regulatory Policies and Mitigation Policies for fast licensing of New Developed Medical Devices in accordance with Corona 19. It is expected that the direction for improvement of regulations and measures to respond to regulations will be implemented so that a more proactive and preemptive response to the regulatory process of the licensing policy for New Devices can be achieved.