• Research in Plant Disease
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• v.10 no.3
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• pp.167-174
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• 2004

To make the forecasting model of rice bacterial grain rot (RGBR) using the statistical procedures with SAS(Statistical Analysis System) based on micro-weather factors during heading period of rice, 21 rice varieties having the different heading time (40％ panicles headed) were planted at 30 May and 15 June in Naju. Heading time and diseased panicles were investigated from July to August in 1998. RGBR mainly occurred on varieties headed from 29 July to 19 August, but not on varieties headed after 22 August. RGBR was highly correlated with diurnal temperature during 7 days (r =-0.871 **) and 10 days (r =-0.867**) and minimum relative humidity during 15 days from 3 days before heading time. After examining the models with several ways ($R^2$, Adjusted $R^2$, MSE), one equations were selected： Y =92.83 - 2.43Tavr + 1.88Tmin - 1.04RHavr + 0.37RHmin + 0.43RD - 3.68WS ($R^2$=0.824) using six variables of average and minimum temperature (Tavr and Tmin), average and minimum relative humidity (RHavr and RHmin), rainy days (RD), and wind speed (WS) during 7 days from 3 days before to 3 days after heading time.

• KSBB Journal
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• v.14 no.6
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• pp.718-723
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• 1999

In order to treat of alkaline dye-processing wastewater, alkalophilic strains biodegrading azo dye, Acid red 1, is isolated from natural system, and optimal culture conditions are examined using response surface analysis, statistical analysis system program. 15 different species which grow in alkaline culture media are isolated from the effluent and river soil discharged from wastewater treatment plant in dye industrial complex. One strain which has the best decolorization efficiency is chosen, and named as AR-1. The result of the examination of carbon, nitrogen and phosphorus sources which have influence on growth and decolorization reveals that optimum carbon, nitrogen and phosphorus sources are 1.0% fructose, 1.0% polypeptone, 1.0% yeast extract and 0.5% $K_2HPO_4$, respectively. In order to optimize of biodegradation conditions of dye by response surface analysis, the characteristics of decolorization and cell growth according to culture temperature and time are monitered. The result shows that the one is optimum 34.77$^{\circ}C$ for 12.97 hours; the other at 34.73$^{\circ}C$ for 12.96 hours. While, optimal conditions of culture that satisfy both cell growth and decolorization are the temperatures from 32.86$^{\circ}C$ to 36.36$^{\circ}C$ and the period of 10.96 to 15.75 hours, respectively.

• Journal of the Korean Society of Food Culture
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• v.23 no.1
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• pp.105-114
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• 2008

The purposes of this study were to identify the students’ perception and to evaluate the satisfaction with the quality of school foodservice in Chungbuk Province. A questionnaire survey of 900 students was conducted and 370 completed questionnaires were available for the purpose of the statistical evaluation. Statistical analyses were performed on the data utilizing the SAS V8.2 program. Importance, performance and satisfaction scale were composed of 5-Likert scales. The main results of this study were summarized as follows: The degree of importance and performance on twenty three attributes and the degree of satisfaction with four dimensions and overall satisfaction were measured according to type of school, location of school, place for eating, type of foodservice system and type of foodservice operation. The importance score was significantly higher than the performance score at all quality attributes except for the food appearance. The performance score of ‘waiting time’ and ‘atmosphere’ was less than 3 point out of 5 scale. The average satisfaction score for the quality dimensions of food, sanitation and service was 3.35, 3.19 and 3.10 point out of 5 scale, respectively. The satisfaction score for dimension of environment was 2.93 point out of 5 scale. The score for overall satisfaction was 3.27 point out of 5 scale. The satisfaction score for elementary school foodservice management was significantly higher than middle and high school foodservices. The satisfaction score for commissary foodservice operations was significantly higher than conventional foodservice operations. Using survey results as a base, the dieticians of school foodservice are required to meet the needs of the students and increase students’ satisfaction.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.20-29
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• 2006

Modeling urban climate caused by land use conversion is critical for human welfare and sustainable development, but has hampered because detailed information on urban characteristics is hard to obtain. With the advantage of satellite observations and the new statistical boundary system, this paper measures the economic and environmental effects of green area loss due to land use conversion in urban areas. To perform this purpose, data were collected from the various sources basic statistical unit data from the National Statistical Office, digital maps from the National Geographic Information Institute, satellite images, and field surveys when necessary. All data (maps and attributes) are built into the geographic information system (GIS). This paper also utilizes Landsat TM 5 imagery of Daegu city to derive vegetation index and to measure average surface temperature. The satellite data were examined using standard image processing software, ERDAS IMAGINE, and the results of the digital processing were presented with ARCVIEW(v.3.3). SAS package was used to perform statistical analyses. This study presents that there exists a strong relationship between land use change and climatic change as well as land price change. Based on results of the analysis, this paper suggests that planners should implement effective tools and policies of urban growth management to detect environmental quality and to make right decisions on policies concerning smart urban growth.

• Journal of Periodontal and Implant Science
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• v.46 no.3
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• pp.207-217
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• 2016

Purpose: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. Methods: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was $30.94{\pm}29.62km$ and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was $52.41{\pm}12.97years$. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. Conclusions: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.2
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• pp.21-45
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• 2000

The purpose of this study is to develop a new curriculum for the department of library and information science of junior college. For this purpose, First, a literature study was done along with interviews with assistant librarians, second, a questionnaries survey was conducted among professors, library administrators and assistant librarians, and the survey data were analyzed by SAS packages. Results obtained by this study are as follows; 1) Work scope of assistant librarians will be consisted of conventional library works and automated library works. And it is anticipated that the library will be transformed into an electronic library in the futrue. 2) Curriculum of department library and information science of junior college is gradually changing focused on conventional subjects toward automation and computer oriented subjects. 3) Curriculum of department of library and information science of junior college should be focused on the workshop oriented education and electronic library related subjects such as electronic library workshop, information system, data fare theory information system information network workshop.

• Journal of Fashion Business
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• v.8 no.1
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• pp.1-15
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• 2004

The purpose of this study is to provide for some basic data useful to production of the apparels fit and measured well for the Chinese men. For this purpose, Chinese men's apparel measurements and specifications were determined per area group(Beijing/ Shanghai) according to the Men's Wear Specifications (GB/T 1335.1-1997), National Standards of People's Republic of China. The collected data were statistically processed using SAS 6.12 for technical statistical analysis, correlation analysis, factor analysis, group-wise analysis and ANOVA. The results of this study can be summarized as follows; 1. As a result of dividing the Chinese men into Beijing and Shanghai men and thereby, setting height and upper chest circumference for upper garments and height and waist for lower garments. 2. Analyzing the correlations according to the three-fold classifications of height/upper chest circumference/waist for garment specifications, 17 specifications based on heights and upper chest circumferences for Beijing men's upper garments could be designed within the deviation level of 2%, while 15 specifications based on waist measurements could be designed (between $70{\sim}98cm$) for their lower garments within the deviation level of 4%. Thus, a total of 60 combinations of the specifications could be obtained. 3. 16 specifications based on heights and upper chest circumferences for Shanghai men's upper garments could be designed within the deviation level of 2%, while 16 specifications based on waist measurements could be designed (between $68{\sim}98cm$) for their lower garments within the deviation level of 3%. Thus, a total of 56 combinations of the specifications could be obtained. For other reference measurements, grading measures were set for each type and body part, while the average measures of major body parts were calculated.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.301-312
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• 2000

This study conducted an analysis of the middle aged women whose ages are from 35 to 59 years old in order to give those ladies much external satisfaction and covered body lines. I have come to present a few characters of body types as silhouettes which resulted in the factors of the upper bodies of middle aged women. I have adopted SAS(statistical analysis system) as a data process method of this survey. The followings are the results analysis. 1. The item of height have decreased, but increased in the items of thickness among the late middle aged women. 2. The body componant factor of middle aged women are extracted as 10 items, and the rate of their cumulative contribution is 78.9%. The first is the thickness of upper body, the second is the thickness of side upper body, the third is the height of upper body, the fourth is the length of upper body the fifth is width of upper body, the sixth is the projected rate of back, the seventh is the projected rate of breast, the eighth is the squared rate of shoulder, the ninth is the crooked rate of neck, and the tenth is the upper from of breast. 3. The body types of middle aged women can be classified into 4 types, and the followings are their characters. Type 1 is a standard type as the most common body character of the middle aged women, showing the appearing rate of 42.4%. Type 2 is a semi-curved body type like the curved figure of side body, showing the appearing rate of 34.5%. Type 3 is a reverse body type with the projected breast feature of front body, showing the appearing rate of 20.9%. Type 4 is a crooked body type with a tall height and crooked neck, showing the appearing rate of 2.2%.

• Parasites, Hosts and Diseases
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• v.29 no.1
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• pp.55-66
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• 1991

A numerical taxonomy was studied on a group of heterophyid trematodes and analysis was made on the following species: Metagonimus yokogawai (3 OTU, Operational Taxonomic Unit) , Metagcnimus Miyata Type (3 OTU), Metagonimus takahashii (2 OTU), Heterophyes dispar (2 OTU), Heterephyes heterophyes (1 OTU), Heterophyes nocens (2 OTV), Heterophyopsis continua (1 OTU), Pygidiopsis summa (3 OTU), Stellantchasmus falcatus (2 OTU) and Stictodora sari (2 OTU). Twenty-six morphological characters were measured and their values were expressed as relative ratios. Similarity and correlation matrix among each individuals were calculated. Clustering analysis by Ward's method and factor analysis were performed using the SAS (Statistical Analysis System) package. As a results, the groups belonging to the genus of Metegenimus were divided into three phonons (Awetegonimus yokogawai, Metegcnimus Miyata Type, M. takahashii) , and Metagonimus Miyata Type was classified as the level of subspecies of M. takahashii. The groups belonging to the genus Heterophyes were clearly divided into three phonons (Heterophyes dispar, H. heterephyes, H. nocens), and H. nccens was classified as not a subspecies level of H. heterophyes but a distinct species. Other species were classified as distinct phonons. From these results, the appllcr lion of numerical taxonomy on trematode classification is considered to be a great aid to determine the limit of taxa.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.