• 한국품질경영학회:학술대회논문집
• /
• 한국품질경영학회 2010년도 춘계학술대회
• /
• pp.226-234
• /
• 2010

In this thesis, we present process that remove mistake of data before statistical analysis. If field data which is not simple examination about validity of data, we cannot believe analyzed statistics information. As statistical analysis information is produced based on data to be input in statistical analysis process, the data to be input should be free of error. In this paper, we study the application of statistical analysis road map that can enhance application on site by organizing basic theory and approaching on initial data exploratory phase, essential step before conducting statistical analysis. Therefore, access to statistical analysis can be enhanced and reliability on result of analysis can be secured by conducting correct statistical analysis.

• 정보기술과데이타베이스저널
• /
• 제4권2호
• /
• pp.79-95
• /
• 1998

Useful data being distributed over several systems, we have a problem in accessing and utilizing them. Recognizing this problem, researchers have proposed two concepts as solutions to the problem, multidatabase and data warehouse. The one provides a virtual view over the distributed data, and the latter is a materialized view of it. Recently, more attention has been paid to the latter, which is a single of distributed database, collected along a time dimension. So, the major issues in building a data warehouse are 1) how to define a global schema for the data warehouse, 2) how to capture changes from local databases, and 3) how to represent time-varying values of data item. This paper presents an integrated approach to these issues, borrowing the research results from such areas as multidatabase, active databases and temporal databases.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.19-20
• /
• 2015

Since 2013, Seoul Metropolitan Government (SMG) has introduced big data initiatively in administration and put into practices in transportation, safety, welfare in order to overcome limited resources and conflicting interests. For establishing a new midnight bus service, SMG prepared optimized midnight bus routes by analyzing big data from mobile phone Call Data Record (CDR) through collaboration with a telecommunication company. Despite of limited budget and resources, newly identified routes can cover over 42% of the citizen with 9 routes and less than 1% of buses compare with day time operation. In addition to solve transportation problem, SMG utilizes big data to resolve location selection problem for choosing new facility locations such as life double cropping centers and senior citizen leisure centers. As results, SMG demonstrates big data as a good tool to make policies and to build smarter city by overcome space-time limitation of resources, mediation of conflicts, and maximizes benefit of the citizen.

• 품질경영학회지
• /
• 제51권4호
• /
• pp.551-571
• /
• 2023

Purpose: The purpose of this study is to propose useful suggestions by analyzing the causal effect relationship between the failure rate of quality and the process variables in the C5ISR domain of the defense industry. Methods: The collected data through the in house Systems were analyzed using Big data analysis. Data analysis between quality data and A/S history data was conducted using the CRISP-DM(Cross-Industry Standard Process for Data Mining) analysis process. Results: The results of this study are as follows: After evaluating the performance of candidate models for the influence of inspection data and A/S history data, logistic regression was selected as the final model because it performed relatively well compared to the decision tree with an accuracy of 82%/67% and an AUC of 0.66/0.57. Based on this model, we estimated the coefficients using 'R', a data analysis tool, and found that a specific variable(continuous maximum discharge current time) had a statistically significant effect on the A/S quality failure rate and it was analysed that 82% of the failure rate could be predicted. Conclusion: As the first case of applying big data analysis to quality issues in the defense industry, this study confirms that it is possible to improve the market failure rates of defense products by focusing on the measured values of the main causes of failures derived through the big data analysis process, and identifies improvements, such as the number of data samples and data collection limitations, to be addressed in subsequent studies for a more reliable analysis model.

• 지능정보연구
• /
• 제12권4호
• /
• pp.15-37
• /
• 2006

본 논문은 증권거래소 이상매매 적출업무의 효율성을 제고하기 위해 데이터마이닝 기법을 적용하는 방안에 대해 연구하는 것을 주된 목적으로 한다. 이 과정에서 국내 증권거래소의 이상매매 적출모형과 데이터마이닝을 활용한 해외사례로서 미국 NASD의 ADS를 소개한 뒤, 실증분석에 사용될 자료들을 시세조종 종목과 정상 종목으로 나누어 검토한다. 국내에서 주식시장의 이상매매 적출에 대한 데이터마이닝 기법의 적용에 대한 연구가 없는 상황에서 다양한 입력변수를 만들어 실제로 데이터마이닝 기법들을 적용하여 적출성과를 상호 비교한 결과와 시사점을 기술하였다.

• Journal of Ginseng Research
• /
• 제37권2호
• /
• pp.248-253
• /
• 2013

Leaves from Panax ginseng Meyer (Korean origin and Chinese origin of Korean ginseng) and P. quinquefolius (American ginseng) were harvested in Haenam province, Korea, and were analyzed to investigate patterns in major metabolites using HPLC-based metabolic profiling. Partial least squares discriminant analysis (PLS-DA) was used to analyze the the HPLC chromatogram data. There was a clear separation between Panax species and/or origins from different countries in the PLS-DA score plots. The ginsenoside compounds of Rg1, Re, Rg2, Rb2, Rb3, and Rd in Korean leaves were higher than in Chinese and American ginseng leaves, and the Rb1 level in P. quinquefolius leaves was higher than in P. ginseng (Korean origin or Chinese origin). HPLC chromatogram data coupled with multivariate statistical analysis can be used to profile the metabolite content and undertake quality control of Panax products.

• 한국농공학회논문집
• /
• 제61권6호
• /
• pp.73-79
• /
• 2019

Continuous and tremendous data (canopy temperature and meteorological variables) are necessary to determine Crop Water Stress Index (CWSI). This study investigated the optimal monitoring time and interval of canopy temperature and meteorological variables (air temperature, relative humidity, solar radiation and wind speed) to determine CWSIs. The Nash-Sutcliffe model efficiency coefficient (NSE) was used to quantitatively describe the accuracy of sampling method depending upon various time intervals (t=5, 10, 15, 20, 30 and 60 minutes) and CWSIs per every minute were used as a reference. The NSE coefficient of wind speed was 0.516 at the sampling time of 60 minutes, while the ones of other meteorological variables and canopy temperature were greater than 0.8. The pattern of daily CWSIs increased from 8:00 am, reached the maximum value at 12:00 pm, then decreased after 2:00 pm. The statistical analysis showed that the data collection at 11:40 am produced the closest CWSI value to the daily average of CWSI, which indicates that just one time of measurement could be representative throughout the day. Overall, the findings of this study contributes to the economical and convenient method of quantifying CWSIs and irrigation management.

• 한국식품영양학회지
• /
• 제26권4호
• /
• pp.886-894
• /
• 2013

The National Standard Food Composition Table published by the Rural Development Administration (RDA) provides the foundations in research, nutrition monitoring, policy and dietary practices in Korea. This databases consists of several sets of data including food descriptions, nutrients, portion weights, and source of data. The National Standard Food Composition Table have been published since 1970 and, recently, new version (8th edition) of Food Composition Table which has quantitative and qualitative nutrient data is released in 2011. In addition, the User-friendly Food Composition Table is divided into adult, children, and elderly categories depending on the subjects because we need different nutrients according to various ages. The Tables of Food Functional Composition is firstly edited in 2009. RDA published the minerals and fatty acids composition table, tables of amino acid, fat-soluble vitamin composition table, and the cholesterol table. The resulting database will be widely used. The users of the databases are from diverse fields, includeing federal agencies, the food industry, health professionals, restaurants, software application developers, academia and research organizations, international organizations, and foreign governments ect. Therefore, consistent improvements of the database is important, so that people can better address such health challenges by providing reliable and accurate data.

• 간호행정학회지
• /
• 제7권3호
• /
• pp.561-569
• /
• 2001

This study was designed to analyze all the papers that were in the Journal of the Korean Nursing Administration Academic Society from the first publication edition (1995) to 2000. Analyses methods are research designs, data collection methods, research subjects and key words. all papers were 145. The results of the study are as follows : First, research designs, nonexperimentals are 106 papers, experimentals are 9, qualitatives are 9 papers. Research subjects that all subjects in each paper were accepted are as follows, hospital staffs including nurses, doctors, and other employees are 115 paper(59.28%), adults including patient's family, medical, nursing students are 44 papers(22.68%), informatic systems including medical record sheets, database, and management system are 8 papers(4.12%), others including country, literature, researches are 21 papers(10.82%). Second, data collection methods that all methods in each paper were accepted that questionnaires are 93 papers(57.76%), interviews are 13 papers(8.07%), observations are 10 papers(6.21%), scale & psycholgical are 8 papers(4.97%), and self-reportings are 6 papers(3.73%), etc. Conclusion : Even though research topics are various, the fields of informatics and financial management are poor. Therefore studying for those fields and its practical implication are needed.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
• /
• pp.159-162
• /
• 2006

This paper describes the ground system for COMS (Communication, Ocean, and Meteorological Satellite), the first Korean multi-purposed geostationary satellite, at MSC (Meteorological Satellite Center) in Korea. The overview of COMS MI (Meteorological Imager) will be introduced as well. KMA would implement mission planning for COMS MI operation and receive, process, interpret, disseminate, and archive MI data operationally for domestic and foreign user groups. Major missions of COMS MI are mitigation of natural hazard such as typhoon, dust storm, and heavy rain, and short-term warning of severe weather to protect human health and commerce. Moreover, research of climate variability and long-term changes will be supported. In accordance with those missions, the concept and design of COMPASS (COMS operation and meteorological products application service system), the ground system for COMS MI in MSC, have been setting up since 2004. Currently, COMPASS design is being progressed and will have finished the end of 2006. The development of COMPASS has three phases: first phase is development of fundamental COMPASS components in 2007, second phase is to integrate and test all of the COMPASS components in 2008, and the last phase is to operate COMPASS after COMS In-Orbit Tests in 2009.