• Communications for Statistical Applications and Methods
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• v.16 no.2
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• pp.317-323
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• 2009

Recently not even government polices but small town decisions are based on the survey data/information, so the most of government agencies/organizations demand various sample surveys in each fields for more detail information. However in conducting the sample survey, nonresponse problem rises very often and it becomes a major issue on judging the accuracy of survey. For that matters, one solution ran be using the administration data. However unfortunately most of administration data are restricted to the common users. The other solution can be the imputation. Therefore several method, of imputation are studied in various fields. In this study, in stead of the simple regression imputation method which is commonly used, factor score regression method is applied specially to the incomplete data which have the unit and item misting values in survey data. Here for simulation study, Consumer Expenditure Surveys in Korea are used.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.199-209
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• 2021

By removing the increasing trend that long-term time series average of rice yield due to technological advancement of rice variety and cultivation management, we tried to improve the rice yield estimation model which developed earlier using MODIS NDVI and meteorological data. A multiple linear regression analysis was carried out by using the NDVI derived from MYD13Q1 and weather data from 2002 to 2019. The model was improved by analyzing the increasing trend of rime-series rice yield and removing it. After detrending, the accuracy of the model was evaluated through the correlation analysis between the estimated rice yield and the yield statistics using the improved model. It was found that the rice yield predicted by the improved model from which the trend was removed showed good agreement with the annual change of yield statistics. Compared with the model before the trend removal, the correlation coefficient and the coefficient of determination were also higher. It was indicated that the trend removal method effectively corrects the rice yield estimation model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.43-45
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• 2021

The short-term quantitative precipitation prediction (QPF) system is important socially and economically to prevent damage from severe weather. Recently, many studies for short-term QPF model applying the Deep Neural Network (DNN) has been conducted. These studies require the sophisticated pre-processing because the mistreatment of various and vast meteorological data sets leads to lower performance of QPF. Especially, for more accurate prediction of the non-linear trends in precipitation, the dataset needs to be carefully handled based on the physical and dynamical understands the data. Thereby, this paper proposes the following approaches: i) refining and combining major factors (weather radar, terrain, air temperature, and so on) related to precipitation development in order to construct training data for pattern analysis of precipitation; ii) producing predicted precipitation fields based on Convolutional with ConvLSTM. The proposed algorithm was evaluated by rainfall events in 2020. It is outperformed in the magnitude and strength of precipitation, and clearly predicted non-linear pattern of precipitation. The algorithm can be useful as a forecasting tool for preventing severe weather.

• Atmosphere
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• v.24 no.2
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• pp.173-188
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• 2014

The KMA has cooperated with the Oklahoma University in USA to develop a Polarimetric Radar Data (PRD) simulator to improve the microphysical processes in Korea Local Analysis and Prediction System (KLAPS), which is critical for the utilization of PRD into Numerical Weather Prediction (NWP) field. The simulator is like a tool to convert NWP data into PRD, so it enables us to compare NWP data with PRD directly. The simulator can simulate polarimetric radar variables such as reflectivity (Z), differential reflectivity ($Z_{DR}$), specific differential phase ($K_{DP}$), and cross-correlation coefficient (${\rho}_{hv}$) with input of the Drop Size Distribution (DSD) and scattering calculation of the hydrometeors. However, the simulator is being developed based on the foreign observation data, therefore the PRD simulator development reflecting rainfall characteristics of Korea is needed. This study analyzed a potential application of the 2-Dimension Video Disdrometer (2DVD) data by calculating the raindrop axis ratio according to the rain-types to reflect Korea's rainfall characteristics into scattering module in the simulator. The 2DVD instrument measures the precipitation DSD including the fall velocity and the shape of individual raindrops. We calculated raindrop axis ratio for stratiform, convective and mixed rainfall cases after checking the accuracy of 2DVD data, which usually represent the scattering characteristics of precipitation. The raindrop axis ratio obtained from 2DVD data are compared with those from foreign database in the simulator. The calculated the dual-polarimetric radar variables from the simulator using the obtained raindrop axis ratio are also compared with in situ dual-polarimetric observation data at Bislsan (BSL). 2DVD observation data show high accuracies in the range of 0.7~4.8% compared with in situ rain gauge data which represents 2DVD data are sufficient for the use to simulator. There are small differences of axis ratio in the diameter below 1~2 mm and above 4~5 mm, which are more obvious for bigger raindrops especially for a strong convective rainfall case. These differences of raindrop axis ratio between domestic and foreign rainfall data base suggest that the potential use of disdrometer observation can develop of a PRD simulated suitable to the Korea precipitation system.

• Journal of Veterinary Clinics
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• v.18 no.4
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• pp.334-340
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• 2001

This study was conducted to investigate changes in blood properties of high potassium (HK) phenotype Jindo dogs (15kg$\pm$2kg) after daily oral administration with water celery extracts (10 ml/kg) for 7 days. Blood samples were collected for three days in a row before administration of water celery extracts. After water celery extracts administration, blood samples were collected at 3h, 6h, 9h and then on daily basis until day 10 post administration (PA). At day 15, final sample was collected. Blood samples were analyzed on the basis of red blood cell (RBC), white blood cell (WBC), packed cell volume (PCV), hemoglobin (Hb) concentration, mean corpuscular volume(MCV), mean corpuscular hemoglobin concentration(MCHC), gluthathione concentration(GSH) and met-hemoglobin(Met-Hb) concentration. The significant changes (p<0.01, p<0.05) of RBCs were shown at 3 h to day 5, and days 7 and 9 after administration. PCV values were decreased form 3 h to day 10 after administration. Mean Hb concentration showed significant increase as 3 h to day 3, and day 6 to day 9 after administration. The significant changes (p<0.05) of WBCs were shown at 9 h and day 1 after administration. The increased numbers of MCV were detected at days 6 to 9 after administration (p<0.05, p<0.01). The significant changes of MCHC were shown at 9h and day 1 after administration. The significant increases (p<0.01, p<0.05) of GSH concentration were detected at days 1, 6 and 7 after administration. In Met-Hb concentration, the significant increases (p<0.05) occurred at only 9h and day 7 after administration, The significant increases (p<0.01, p<0.05) of reticulocyte were detected at days 2, 4, 5, 6 and 7. Data from blood samples collected at day 15 after administration showed that all of blood analysis results returned to normal level, compared to controls.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.181-190
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• 2019

Today, in the information society, since the government administration of all countries places importance on clarity and efficiency, the authority concentration of the administration is inevitable. Therefore, the Parliament, which is a legislative body, is at a time when the policy control function to check and monitor it is becoming more important. In particular, due to the emergence of parliamentary democracy, in the reality that the people must elect representatives and represent their own opinions, the parliamentary inspection system is very valuable in that it satisfies the right of the people to know and ultimately enables the people to democratically control the administration. The role of the Parliament moves from the inherent legislative function to the information collection and disclosure of government administration, discussion and resolution of political issues, and observation and supervision of the administration. And it can be seen as the global trend. As a result of this trend, status and role of the National Assembly is being strengthened from the legislative body to the control agency of government administration. Thus, the most substantive authority of Article 61 of the Constitution can be deemed the parliamentary inspection system. The parliamentary inspection system is a system that let exercise the legislation, budget, and authority to control of state administration by identify the challenges and policy implementation of each country's institutions through the audit of the executive administration's overall government administration performance outside the National Assembly. However, due to the amendment of Constitution in 1988, the parliamentary inspection right and investigation of state administration right had reinstated and the parliamentary inspection system, which is being implemented annually, is the 31st year of the year in 2019. However, the general evaluation of the public is negative and insufficient time for inspections, lack of sanctions on nonattendance witnesses, excessive data submission, and refusal to submit materials by the administration were pointed out as the problem. Therefore, in this paper, the researcher tries to point out the overall problems of the parliamentary inspection system and to summarize the effective improvement plans.

• Korean Journal of Remote Sensing
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• v.33 no.3
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• pp.275-285
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• 2017

National Meteorological Satellite Center(NMSC) has produced Sea Surface Temperature (SST) using Communication, Ocean, and Meteorological Satellite(COMS) data since April 2011. In this study, we have developed a new regional COMS SST algorithm optimized within the North-West Pacific Ocean area based on the Multi-Channel SST(MCSST) method and made a composite SST using polar orbit satellites as well as the COMS data. In order to retrieve the optimized SST at Northwest Pacific, we carried out a colocation process of COMS and in-situ buoy data to make coefficients of the MCSST algorithm through the new cloud masking including contaminant pixels and quality control processes of buoy data. And then, we have estimated the composite SST through the optimal interpolation method developed by National Institute of Meteorological Science(NIMS). We used four satellites SST data including COMS, NOAA-18/19(National Oceanic and Atmospheric Administration-18/19), and GCOM-W1(Global Change Observation Mission-Water 1). As a result, the root mean square error ofthe composite SST for the period of July 2012 to June 2013 was $0.95^{\circ}C$ in comparison with in-situ buoy data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.84-90
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• 2019

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. BI is the collection of systems and products that have been implemented in various business practices, but not the information derived from the systems and products. On the other hand, big data has come to mean various things to different people. When comparing big data vs business intelligence, some people use the term big data when referring to the size of data, while others use the term in reference to specific approaches to analytics. As the volume of data grows, businesses will also ask more questions to better understand the data analytics process. As a result, the analysis team will have to keep up with the rising demands on the infrastructure that supports analytics applications brought by these additional requirements. It's also a good way to ascertain if we have built a valuable analysis system. Thus, Business Intelligence and Big Data technology can be adapted to the business' changing requirements, if they prove to be highly valuable to business environment.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.2
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• pp.147-157
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• 2005

Purpose: The purpose of this study was to identify correctional nurses' job stressors. Method: The data were collected from 51 correctional nurses using a self-completion questionnaire. To analyze data, content analysis was done using an analysis scheme developed by the investigators. Results: 160 significant statements were analyzed and categorized. The analysis scheme consisted of 8 categories and 23 subcategories. 8 categories analyzed by the investigators were as follow: relationship with other corrections staffs, overloaded work, career development, role conflict, work environment, relationship with patients, legal & ethical dilemma and administration environment. Conclusions: The correctional nurses' job need legal support from society and systematic support to improve nurses' job satisfaction.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.1
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• pp.82-97
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• 2007

Purpose: This study was to investigate the relationships among nurse managers' participation in decision-making process relation to human resource management and the influencing factors. Method: The subjects were 198 nurse managers who were in general hospitals over 900 beds. The data were collected from January 13 to March 13, 2006. The SPSS PC+ 12.0 program was used to analyze the data. Result: The nurse managers had greater participation in the identification phase of decision making than selection phase. The mean scores of three phases were significantly different. The satisfaction of decision making was evaluated. The higher participation in decision making, the higher satisfaction of decision making. Nurse managers' decision style tended to be more participative than autocratic. Personal and organizational factors(age and decentralization) influenced positively on participation in decision making. Decentralization and span of control influenced positively on satisfaction in decision making. Conclusion: It is necessary to permit the participation in decision making for nurse managers.