• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.143-159
• /
• 2015

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

• Women's Health Nursing
• /
• v.7 no.1
• /
• pp.7-17
• /
• 2001

The purpose of this study was to evaluate the effects on maternal-fetal attachment and self efficacy for delivery using the Taekyo-oriented prenatal class. This class is for 2 hours/week for 4 weeks. The program covers the contents of fetal growth and development including their responding ability, the importance of the uterine environment, sharing the motive and purpose of pregnancy, sharing experiences about pregnancy, sharing of prejudices against delivery, training of maternal-fetal interaction, understanding delivery, relaxation breathing techniques, maternity exercises, writing letters or prayers to the baby, and declaration of loving the baby. This study took place from March 4th to June 15th, 2000, in a university hospital and community care center, and was done by with a pretest-posttest design, with 55 pregnant women who were within 32-36 weeks pregnant and who agreed to participate in this study. Data was measured twice by self-report by the Cranley's Maternal-fetal Attachment Scale(MFAS, 1981), and the Shin's(1997) Self Efficacy for Delivery Scale at the beginning and at the completion of the class. Data was analyzed by SAS. The study results were: 1. The score of maternal-fetal attachment was significantly increased after the Taekyo perspective prenatal class than before the class. (t=7.389, p=0.000) 2. The score of self efficacy for delivery was significantly increased after the Taekyo perspective prenatal class than before the class. (t=8.885, p=0.000) The above results proved that the present Taekyo perspective prenatal education program was effective in increasing maternal-infant attachment and self efficacy for delivery. Therefore, it is concluded that the existing prenatal class should include Taekyo perspective elements. However, further study is needed to compare the effects with preexisted prenatal class.

• Journal of Korean Library and Information Science Society
• /
• v.37 no.2
• /
• pp.375-394
• /
• 2006

This study has been conducted in preparation for a library instruction program for the Sangmyung University Library. The purpose of this study Is to assess the effectiveness of different types of library instruction in improving the information literacy of users. 112 questionnaires were measured and analyzed using SAS and t-test, ANOVA among other statistical techniques. The results were as follows: (1) Library instruction directly affects the information literacy of users. After taking library instruction. users were able to effectively use the AtoZ service, related Sites service. thesis service, E-resources, DDS service. off-campus service, translation system and the e-book service through the library homepage. (2) Group instruction proved to be the most effective type of library Instruction while online instruction was the worst.

• Journal of the Economic Geographical Society of Korea
• /
• v.1 no.2
• /
• pp.5-19
• /
• 1998

This attempts to study the change of land use pattern and to (md out the factors to impact the change of the pattern in metropolitan area of Seoul. The data are collected from the 9 units of geomorphological map of the study area with the help of Mapinfo techniques. The data are analyzed statistically with aids of SAS programs. Land use patterns are classified into two: rural and urban and population, urbanization, transportation, industrialization and land development programs are selected as independent variables to change the land use patterns from 1960-1990. The results may be summarized as follows : (1) Arable lands consisted of 30% of the total land in 1960 but the ratio of the arable land decreased to less than 25% in 1990 in the study area. (2) Urban land use types are dominant around southern part of Seoul but rural one are dominant around northern and eastern area of Seoul. (3) Rural type are influenced by population factor but urban land use type are related to transportation and population factors. Land development program is not a significant one to impact the land use pattern in the study area.

• Journal of Korean Academy of Nursing
• /
• v.29 no.6
• /
• pp.1294-1303
• /
• 1999

The purpose of this study was to develop a tool to assess the powerlessness and to measure the powerlessness of elderly. From the result of pre-test, twenty seven items were finally selected to survey the elderly's powerlessness. The questionnaires on the elderly's powerlessness were drafted so that such tool may be evaluated in accordance with the four point Likert Scale. The number of subjects is 1,150 with ages of 60 years or more and who live in a large city, a small and middle-sized city and a rural area. The subjects of the test and retest were 85 elderlies. Collected data were analyzed by utilizing SAS program with Cronbach's $\alpha$ and Pearson's correlation, factor analysis method and known group techniques, descriptive statics, t-test and ANOVA. The results from this study were summarized below:1. When the factor analysis method was applied for validity, the tool for powerlessness of elderly was separated into 5 factors: loss of self-confidence to deal with physical, emotional, social aspects of life; expulsion by others from meaningful human relate; perception that life is meaningless and time passes quickly; falling behind young people; being rejected by other people, having no influence on others. An application of the known group technique showed a significant difference with the result of the degree of elderly's powerlessness tools developed by the two groups, with illness and without. 2. In testing reliability, it was found that coefficient of test-retest was .9435(P<.0001) when the test-retest method was used as a test of stability, and that the alpha coefficient of internal consistency was .9141 over all items within the tool of elderly's powerlessness 3. In powerlessness of elderly, total mean is 2.8493. And in factor of powerlessness, the highest factor is falling behind young people (M=3.1713), the lowest factor is loss of self- confidence to deal with physical, emotional, social aspects of life(M=2.6080). 4. The results from the test for the degree of powerlessness, according to the subject's demographic variables, showed that there were significant differences between age, sex, marital status, educational level, religion, possession of house, job, monthly pocket money, health status, illness and a place of residence.

• Journal of Dairy Science and Biotechnology
• /
• v.26 no.2
• /
• pp.51-56
• /
• 2008

Using central composite design, we have designed optimization of the manufacturing of processed butter. And response surface analysis by least-square regression was used Statistical Analysis System(SAS). Central composite design can be achieved by response surface techniques that allow flexibility in modeling and analysis. Response surface methodology(RSM) was used to optimize hardness(%) using as independent variables; the content of butter($X_1$), ranging from 50 to 90(%), the content of soybean oil($X_2$), from 0 to 20(%), and the hydrogenated soybean oil($X_3$) from 0 to 4(%). The results on the regression coefficients calculated for overrun by response surface by least-square regression(RSREG) were followed. It was considered that the linear regression was significant(p<0.01). As for the processed butter, the regression model equation for the hardness(Y, %) to the change of an independent variable could be predicted as follow: $Y=60.88-8.92X_2-{29.3X_2}^2$. The optimal for the manufacturing of processed butter were determined at the content of butter of 88.22%, soybean oil of 6.71% and hydrogenated soybean oil of 2.36%, respectively. Optimum compositions were resulted in hardness of 65.78 N. Finally the reference sample(Butter in the morning, Seoul Dairy Co-op.) and processed butter manufacturing under the optimal conditions were compared with spreadability test. The spreadability scores result from reference sample and butter under optimal conditions was not found a significant difference.

• Journal of Korean Neurosurgical Society
• /
• v.39 no.4
• /
• pp.256-259
• /
• 2006

Objective : Having a reliable and reproducible measurement technique to measure the sagittal contour in vertebral fractures is paramount to clinical decision making. This study is designed to determine the most reliable measurement technique in osteoporotic vertebral compression fracture. Methods : Fifteen lateral radiographs of thoracic and lumbar fractures were selected and measured on two separate occasions by three spine surgeons using six different measurement techniques [Centroid, Harrison Posterior Tangent Methods and 4 different types of modified Cobb method]. The radiograph quality was assessed and the center beam location was determined. Statistical analysis including ANOVA for repeated measures was carried out using the SAS software [v 8.0]. Results : The inter and intraobserver variance of the Cobb method 4 and Harrison posterior tangent method were significantly lower than the other four methods. The intraobserver correlation coefficients were the most consistent using the Cobb method 4 [0.982]. which was followed by the Harrison posterior tangent [0.953] and Cobb methods 1 [0.874]. The intraobserver agreement [% of repeated measures within 5 degrees of the original measurement] ranged from 42% to 98% for each technique for all three observers, with the Cobb method 4 showing the best agreement [97.8%] followed by the Harrison posterior tangent method [937%]. Conclusion : The Cobb method-4 and Harrison posterior tangent methods, when applied to measuring the kyphosis, are reliable and have a similar small error range. The Cobb method 4 shows the best overall reliability. However, the centroid method and Cobb method using a fractured endplate do not produce an accurate result due to inter and intraobserver differences in determining the baseline.

• Journal of Intelligence and Information Systems
• /
• v.19 no.2
• /
• pp.39-54
• /
• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Journal of Korean Academy of Nursing
• /
• v.26 no.1
• /
• pp.148-164
• /
• 1996

The effect of circumvaginal muscle(CVM) exercises to improve sexual function in married women has not been investigated by currently acceptable research methods, nor have appropriate instruments and techniques to carry out such investigation been available. The purpose of this research was to study the effect of CVM exercise on sexual function, and of measuring CVM function after CVM exercises. The research tools used were a modified Derogates Sexual Function Inventory questionnaire and a pressure sensitive intravaginal balloon device. This research was conducted in Kwangju-city and Chonnam province, Korea from July, 1994 to July, 1995. The research used a non-equivalent control pre-post test quasi-experimental design. Forty-five healthy married female volunteers, aged 30-58, and were randomly assigned by age using the matching fixed-length blocks to two groups. The experimental group consisted of 21 women who were assigned a 25-minute per day CVM home exercise program for six weeks. The control group of 24 women did not do the CVM home exercises. The CVM home exercise was developed by Dougherty(1989a) and adopted to Korea by Lee (1993). Data were analyzed by $x^{2-}$test, Paired t-test, Spearman product-moment correlation using SAS /P $C^+. The results are summarized as follows : 1. There were no significant differences in the characteristics of the subjects between the experimental and control groups before the CVM home exercises. 2. Hypothesis 1 that married women who participated in CVM home exercises would have higher mean scores on the sexual function(SF) than in those who did not participate in home exercise was supported. 3. Hypothesis 2 that married women who participated in CVM home exercises would have higher vaginal pressure on SF than in those who did not participate in home exercises was supported (mean maximum pressure, t＝－7.338, P＜.0001, peak maximum pressure, t＝－11.164, P＜.0001). 4. Hypothesis 3 that the more often(number of days) and the more frequent (numbers of time per day) that married women do CVM home exercise, the higher their mean scores on SF and vaginal pressures was supported（r＝0.233, P＜.01 ; r＝0.352, P＜.05）. A six week CVM home exercise program using a tape recording showed that SF can be improved. Results of this study showed that married women who exercise on a regular basis for six weeks improve their sexual function and increase the mean vaginal pressure and peak maximum pressure (tested by electronic monitor). In conclusion, CVM exercise is effective in increasing SF.SF.

• Journal of Korean Academy of Nursing
• /
• v.30 no.2
• /
• pp.354-365
• /
• 2000

Purpose: This study was performed to identify the factors that change exercise behave. This study will also classify and identify the characteristics of excercise stages to which the elderly belong Also, to identify the processes of change which influence on the changes in exercise performed by the elderly. Methods: Convenient samples of 198 subjects over the age 60 in Seoul Korea(mean age=70) were selected from elderly communities and were all mentally conpetant older adults. The data were collected from April 1,1999 to May 30, 1999. The research instruments were measured the change in exercise (Marcus et al., 1992b), such as Stage of Change measure(Marcus et al,1992a). The data were analyzed by SAS Program. Results: 1. According to the measure of change without missing data, 191 subjects were distributed each stage of change for exercise: 50 subjects (26.1%), 7 subjects (3.6%), 52 subjects (27.2%), 4 subjects (2%), and 78 (40.8%) belonged to the precontemplation stage, the contemplation stage, the preparation stage, the action stage and the maintenace stage. 2. According to the factor analysis, 6 factors of change were identified as appropriate processes of change and were named by the researchers. The names were; 'Supportive helping relationship', 'Self cognitive determination', 'Environmental reinforcement', Consciousness raising', Reinforcement of negative condition and 'Conversion of negative condition'. 3. According to the stage of change, there were significant mean differences in the 'Supportive helping relationship(F=22.04, p=.0001)', 'Self cognitive determination (F=50.87, p=.0001)', 'Reinforcement of negative condition(F=7.84,p=.0006)'. 4. Through the discriminant analysis, it was found that Self cognitive determination is the most influential variable as one of the processes of change which can discrimiate the three stages of change (precontemplation, preparation, and maintenance). Also the next significant variable was Reinforcement of negative condition. Conclusion: The process of the dey change is one of concepts of The transtheoretical model known as strategies and the techniques people use as they go through the different stages of change. Even though this study is cross- sectional not longitudinal study, the finding of this study gives useful information for exercise intervention, by using this strategy of exercise for elderly in different stages of change in exercise.