• Journal of Families and Better Life
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• v.2 no.1
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• pp.1-11
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• 1984

The purpose of the study is to inquire how the family environmental variables are to influence on the behavior, time of laundering and laundering facilities in the urban households. Independent variables are limited to the number of family members, the are of the youngest child, the age of the home maker, and her educational level, family income , and the type of housing in which the family lives. The total of 222 samples were thus selected. The data was analyzed on the basis of statistical method such as percentage, mean ,standard deviation, chi-square, and F-test. The major findings are as follows; 1) Hypothesis 1 is rejected, because the behavior of laundering management is not influenced by six family environmental variables. 2) The facilities for laundering management are affected by the home maker's age(p<.05), her educational level(p<.001), family income (p<.001), the housing of the family (p<.01) among six family environmental variables ; there fore, Hypothesis 2 is partially proved; 3) the time for laundering management is affected by the number of family members(p<.01), the age of the youngest child(p<.05), the home maker's educational level(p<.001) among six family environmental variables; therefore, Hypothesis 3 is partially proved.

• Journal of the Korean Home Economics Association
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• v.27 no.1
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• pp.111-126
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• 1989

The aim of the present study is to research into the household work time change and its structure in urban home makers by the choosen eleven studies and KBS's Data 1981, 1983, 1985, 1987. This study were proceeded under some limitations, it is choosen eleven studies that is different region: large city, medium and small town, and the household work's categories of original auther were changed. And KBS's Data was composed of general formation without personal character of home maker: FLC, number of childeren, family type, education, region. Although this study have a certain meaning of implementation, research into the household work time change and its's structure. The major findings of this study can be autlined as follows: (1) Total household work time did'nt so much changed through the choosen eleven studies compared with the last twenty years ago. In the change of each province household work time, time connected with meals and dwelling did not showed consistancy of change. But cloth laundering and mending time of 80's were declined compared with 70's. Family care time of 80's was increased, home management and buying time was declined untill '85, but again increasing trend '87. In choosen eleven studies, the household work time structure of urban home makers can be outlined: time connected with Meals>Family care>Cloth laundering and mending>Dwelling>Home management and Buying. (2) KBS's time-series data were analized as follows: a) Total household work time of '87 was declining gradually in weekday (34 minutes), sat. (41 minutes), sun (1 house and 2 minutes) compared with '81. b) The change of each province household work time: the time of cooking and sewing home management were declining gradually in its Mean time and its ratio of acters. The acter ratio of household worker in '81, '83, '85 was composed Cooking > Cleaning > Laundering > Home management > Buying > Child care > Sewing. In '87 was composed Cooking > Cleaning > Laundering > Buying > Home management > Child care > Sewing. c) The structure of household work time revealed some differences in each year and a day of the week.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.294-300
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• 2006

This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.1-10
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• 1995

To lead rural clothing management in the rural household, we assessed in terms of the wearing of pesticide protective clothing and care methods of contaminated clothing, consumer consciousness, the discard method of clothing et al. in rural areas of Gyonggi-Do by sampling 122 households. The results are as following ; 1. The behavior for laundering management didn't appropriate in view of certification of label about laundry method, frequency of laundry and quantitative use of detergent. Also family's cooperative attitude wasn't insufficient. 2. Reasons of dissatisfaction about retained clothing were decreased in order of discoloration, shrink or breakage after laundry, breakage of seam or cloth, unlabel, allergy from cloth. The solution of trouble was acted passively. 3. Reasons of hoarding of clothing were high because of change on size, fashion, and low because of wornout. Still-wearable garments were discarded in proportion of one to one. 4. The ratio of putting on the fatigue cap which the Once of Rural Development has propagated was under 10 percent. 5. Protective clothes against agricultural chemicals had not been prepared and contaminated clothing was often washed with regular family wash.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.179-192
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• 2008

This case study shows constructing the knowledge-based system using a rule-based approach for detecting illegal transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions, the adoption of a knowledge-based system in the KoFIU is essential. Also since different types of information from various organizations are converged into the KoFIU, constructing a knowledge-based system for practical use and data management regarding money laundering is definitely required. The success of the financial information system largely depends on how well we can build the knowledge-base for the context. Therefore we designed and constructed the knowledge-based system for anti-money laundering by committing domain experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation, measured by the empirical ratio of Suspicious Transaction Reports (STRs) reported to law enforcements, shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently, and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• 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.

• Information Systems Review
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• v.22 no.4
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• pp.135-161
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• 2020

With the growth of blockchain and cryptocurrency-related markets, cryptocurrency exchanges are growing as a new industry. However, as the legal and regulatory definitions of cryptocurrencies are still in progress, unlike existing industrial groups, they are not under the supervision of regulatory agencies. As a result, users (i.e., cryptocurrency investors) have suffered two types of damage that could occur from hacking and other accidents on the exchanges. One type of the damage is the loss of assets caused by the extortion of personal information or account and the other is the damage from users who might be involved in external frauds. Both are analyzed in comparison with existing operators whose functions are like the exchanges. The results of this study show that membership (KYC: Know Your Client), log-in, and additional authentication in transactions are on the similar level to those of the operators while the fraud detection system (FDS) and anti-money laundering (AML) of fiat currencies and cryptocurrencies need rapid improvement.

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.90-97
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• 2014

Purpose: The purpose of this study was to compare the contamination level of uniforms with nasal colonization of Staphylococcus aureus before and after the clinical practice of nursing students. Methods: This study was a survey research, conducting microbial culture by smearing the front surface and the pockets of uniforms, and the nasal cavity both before and after clinical practice on 70 nursing students. For the analysis, descriptive statistics, chi-square test, paired t-test were used for statistical analysis using SPSS 19.0. Results: The contamination level of uniforms increased more significantly after clinical practice on the front surface (p=.008) and pockets (p=.031) than before clinical practice, and Staphylococcus aureus, and Enterobacter aerogenes were detected. Conclusion: Through the results above, it is believed that it is reasonable to do the laundering of clinical uniforms of nursing students once a week. Because it is possible to disseminate disease germs with the contamination of clinical practice uniforms in a hospital environment, it is necessary to offer education for the laundering of uniforms with appropriate management.

• Journal of Families and Better Life
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• v.21 no.1
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• pp.113-127
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• 2003

This paper aims to provide the basic data about the uses of agricultural products related to food, cloth and shelter in the late Joseon Dynasty by analysing$\ulcorner$Kyuhap-Chongseo$\lrcorner$(1809). The results of this study are as follows: 1. The agricultural products related to cloth, food and shelter were of 95 species total(horticultural crops 37.9%, industrial crops 22.1%, food crops 13.7%, floricultural crops 13.7%. and animal products 12.6%). 2. The agricultural products(24species) related to clothing were used for weaving, dyeing, laundering and starching textiles. 80 species of agricultural products were used as ingredients in about 140 dishes. As for shelter, the agricultural products(30species) were used for making stationaries. managing vessels and illumination, and building structures.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.1-9
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• 2017

Recently, Bitcoin which is digital currency and cryptocurrency is getting worldwide attention since Bitcoin has an ability to replace legal tender unlike other existing cyber currency. Especially, most Bitcoin trading is done between two traders such as P2P method and it does not require a third-party to make sure reliability and it records every transaction details, so it is more transparent then traditional financial trade, so the number of users is increasing. However, Bitcoin, which has been recognized for transparency, confidentiality and stability among traders has recently been threatened by illegal transactions such as money laundering and the attack on the exchange. These threats to Bitcoin are becoming social problems. At first, it seems that most of the digital currency is difficult to get hacked due to the Blockchain technology. However, threats such as digital money leaks by user account hacking and paralyzing the servers are increasing. In this paper, it will examine the features of the Bitcoin and the threatening elements to secure marketability of digital currency such as Bitcoin and receive more interest from public in domestic. The paper will examine the problems of Blockchain technology on speculative transactions and fraudulent behavior by analyzing the problems of Bitcoin transaction. Lastly, it will propose ways to make transparent and secure digital currency transactions.