• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.312-318
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• 2017

This study calculated the cash flow using the financial information by fiscal year for 25 general hospitals and 23 hospitals, and analyzed the relationship between cash flow and net working capital. The analysis results showed that 73.3% of general hospitals and 83.3% of hospitals did not secure funds required for operating activities by fiscal year. The cash flow types that affect net working capital were expenses not involving cash outflows and changes in borrowings in general hospitals, and expenses not involving cash outflows and income not involving cash inflows and changes in borrowings in hospitals. However, in case of shortage of funds required for operating activities, at general hospital, due to expenses not involving cash outflows being high and income not involving cash inflows being low and resulting in increased borrowing, at hospital, due to expenses not involving cash outflows being high and resulting in increased borrowing. Therefore, for the stability of cash flow in management activities, the adequacy and relevance of the expenses not involving cash outflows need to be reviewed, and it will be necessary to review the appropriate internal policy measures to systematically and rationally manage cash flow in consideration of cash flows.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.147-162
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• 2020

The purpose of this study is to present practical improvement plans for policy fund support in national policy banks through an analysis of the efficiency of policy fund support. It targets small and medium-sized enterprises(SMEs) that received policy funding from national policy banks in '17 and '18 consecutively. As for the analysis method, characteristic analysis and corresponding sample T-test was performed. The analysis results are as follows. First, as a result of analyzing the characteristics of small and medium-sized enterprises, most of the financial funds were concentrated on the manufacturing industry. By region, the western region of Gyeonggi Province, by credit rating, was A grade, technology grade was T5, and the use of funds was mostly concentrated on facility funds. Second, as a result of efficiency analysis, profitability had a positive effect on total capital return, stability had a positive effect on interest compensation ratio, and activity had a positive effect on total capital turnover. In conclusion, it is expected to provide practical improvement plans to support policy funds to influence the growth and distribution of funds appropriate to the needs of SMEs.

• The Journal of Bigdata
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• v.1 no.1
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• pp.85-94
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• 2016

Traditional Anti-Money Laundering (AML) software applications monitor bank customer transactions on a daily basis using customer historical information and account profile data to provide a "whole picture" to bank management. With the advent of Big Data, these applications could be benefited from size, variety, and speed of unstructured data, which have not been used in AML applications before. This study analyses the weaknesses of a bank's current AML systems and proposes an AML systems taking advantage of Big Data. For example, early warning of AML risk can be improved by exposing identities and uncovering hidden relationships through predictive and entity analytics on real-time and outside data such as SNS data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.178-186
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• 2021

COVID-19 occurred in China in December 2019 and spread to the world. Untact culture becoming commonplace due to the spread of COVID-19, is accelerating digital transformation across society. The government is increasing government fund to overcome national crisis situations such as COVID-19. In order to efficiently execute these government funds, the government and policy financial institutions need to come up with two measures. One is to establish a transparent government fund execution process, and the other is to secure the objectivity of the review process. In this paper, to solve this problem, we designed the execution process of government funds from the government to end users with Consortium Blockchain, and designed a machine learning algorithm for internal review of policy financial institutions. The research data proposed in this paper will be helpful in setting the future government policy direction for government fund execution.

• The Korea Swine Journal
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• v.29 no.10 s.338
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• pp.158-160
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• 2007

• NEWSLETTER 전기공업
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• no.98-3 s.196
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• pp.2-12
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• 1998

• 전기산업
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• v.10 no.3
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• pp.85-88
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• 1999

• Corrugated packaging logistics
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• v.8 no.36
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• pp.59-62
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• 2001

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.2 no.2
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• pp.36-36
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• 1981

• Monthly Korean Chicken
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• v.46 no.40 s.106
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• pp.52-54
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• 2004