• 디지털산업정보학회논문지
• /
• 제18권4호
• /
• pp.97-110
• /
• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• 대한지역사회영양학회지
• /
• 제23권2호
• /
• pp.128-136
• /
• 2018

Objectives: The purpose of this study was to compare and analyse dieting practices and tendencies in 2010 and 2015 using big data. Methods: Keywords related to diet were collected from the portal site Naver from January 1, 2010 until December 31, 2010 for 2010 data and from January 1, 2015 until December 31, 2015 for 2015 data. Collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis, and seasonality analysis. Results: The results show that exercise had the highest frequency in simple frequency analysis in both years. However, weight reduction in 2010 and diet menu in 2015 appeared most frequently in N-gram analysis. In addition, keyword network analysis was categorized into three groups in 2010 (diet group, exercise group, and commercial weight control group) and four groups in 2015 (diet group, exercise group, commercial program for weight control group, and commercial food for weight control group). Analysis of seasonality showed that subjects' interests in diets increased steadily from February to July, although subjects were most interested in diets in July in both years. Conclusions: In this study, the number of data in 2015 steadily increased compared with 2010, and diet grouping could be further subdivided. In addition, it can be confirmed that a similar pattern appeared over a one-year cycle in 2010 and 2015. Therefore, dietary method is reflected in society, and it changes according to trends.

• 근관절건강학회지
• /
• 제27권3호
• /
• pp.325-332
• /
• 2020

Purpose: This study attempted to classify the potential layer for pain in the middle-aged and elderly based on the seventh Aging Research Panel Survey (2018) data and to identify the degree of depression by potential layer. Methods: This study used data from the 2018 Aging Research Panel Survey, whose participants included 6,890 middle-aged and elderly people. The data were analyzed using SPSS/WIN 22.0 and M-plus 8.0 for latent profile analysis. Results: In the study, Type 1 was a "general pain group", Type 2 was the "high back pain group", Type 3 was the "lower body pain group", Type 4 was the "shoulder pain group", and Type 5 was the "pain-free group", which included those who answered that there was no pain. Second, it was found that the variables such as gender, age, education, or not alone were statistically significant (p<.001). Third, the difference in income, subjective health conditions, depression according to the pain site type group were confirmed. Depression was significantly higher in the back pain group, lower body pain group, and shoulder pain group compared to the pain-free group. Conclusion: Developing integrative interventions is necessary to reduce depression using the pain coping skills in middle-aged and Elderly.

• Child Health Nursing Research
• /
• 제9권1호
• /
• pp.74-84
• /
• 2003

This study was designed to investigate effects of maternal education using Brazelton Neonatal Behavioral Assessment Scale(the following will be marked as NBAS) on the mother-infant interaction and infant behavior. The subjects of this study consisted of 48 pairs of normal mother and infant, 24 pairs for intervention group and 24 pairs for control group. The subjects were recruited from two general hospitals, and an OBGY clinic located in J city. The data were collected from July 30, 2001 to October 6, 2001. Prior to investigation and data collection, following operational hypotheses were set up in order to compare the investigative data against these operational hypotheses(H). H1: Intervention group will higher mother-infant interaction score than control group. H2: Intervention group infants will higher overall performance in infant behavior test score than control group infants. The results of this study were summarized as follows: 1. The mother-infant interaction score was 59.79 points in intervention group and 53.91 points in control group. The mother-infant interaction score of intervention group showed significant difference than control group. Therefore, hypothesis 1 was supported. 2. The infant behavior score of intervention group was significantly higher than control group, but partially. Therefore, hypothesis 2 was partially supported. 1) The social interaction(orientation) score was 46.58 points in intervention group and 43.50 points in control group. The orientation score of intervention group showed significant difference than control group. 2) The state regulation score was 26.79 points in intervention group and 25.33 points in control group. The state regulation score of intervention group showed significant difference than control group. In conclusion, present work demonstrated that maternal education using NBAS is an effective intervention method for promotion of mother-infant interaction and of infant behavior development. Author believes that many inexperience young mother may find NBAS-based maternal education beneficial for their nursing babies, therefore NBAS-based intervention is recommended to be adopted routinely as an integral part of neonatal nursing strategies.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제5권1호
• /
• pp.24-29
• /
• 2005

Silicon nitride cantilevers integrated with silicon heaters and piezoelectric sensors were developed for the scanning probe microscope (SPM) based data storage application. These nitride cantilevers are expected to have better mechanical stability and uniformity of initial bending than the previously developed silicon cantilevers. Data bits of 40 nm in diameter were recorded on PMMA film and the sensitivity of the piezoelectric sensor was 0.615 fC/nm, meaning that indentations less than 20 nm in depth can be detected. For high speed operation, $128{\times}128$ cantilever array was developed.

• 한국도로학회논문집
• /
• 제15권2호
• /
• pp.121-129
• /
• 2013

PURPOSES : This study deals with the traffic accidents of rotary in Korea. The objective of this study is to develop the accident models by age group based on the various data of rotaries. METHODS : In pursuing the above, this study gives particular attentions to classifying the accident data of 17 rotaries by age, collecting the data of geometric structure, traffic volume and others, and developing the models using SPSS 17.0 and EXCEL. RESULTS : First, 3 multiple linear regression models which were all statistically significant were developed. The value of model of under 30-49 age group were, however, evaluated to be 0.688 and be less than those of other models. Second, the most powerful variables were analyzed to be traffic volume in the model of under 30 age group, circulatory roadway width in the model of 30-49 age group, and the number of approach lane in the model of above 50 age group. Finally, the test results of accident models using RMSE were all evaluated to be fitted to the given data. CONCLUSIONS : This study propose install streetlights, speed humps and widen Circulatory as effective improvements for reduction of accident in rotary.

• KSBB Journal
• /
• 제27권1호
• /
• pp.40-44
• /
• 2012

The laboratory animal group separation is dividing animal population into subgroups, which have similar average and standard deviation values among the subgroups, based on the biological characteristics such as body weight, glucose level in blood, etc. Although group separation is very important and initial step in experimental design, it needs a labor intensive process for researchers because of making similar average and standard deviation values among the subgroups using the raw biological characteristics. To reduce the labor cost and increase the efficiency of animal grouping, we developed a web program named as laboratory animal group separation (LAGS) program. This LAGS uses biological characteristics of population, number of group, and the number of elements per each subgroup as input data. The LAGS automatically separates the population into each subgroup that has similar statistical data such as average and standard deviation values among subgroups. It also provides researchers with the extraordinary data generated in the process of grouping and the final grouping results by graphical display. Through our LAGS, researchers can validate and confirm results of laboratory animal group separation by just a few mouse clicks.

• 한국양식학회지
• /
• 제18권3호
• /
• pp.154-159
• /
• 2005

동일연령군의 넙치 치어를 개체 크기별 4개의 group (small group, 체중 $1.3{\pm}0.23g;$ medium group, 체중 $3.1{\pm}0.45g;$ large group, 체중 $4.9{\pm}0.57g;$ ungraded group, 체중 $3.3{\pm}1.66g$)으로 나누어 8주동안 사육하면서 크기 선별이 어류의 성장, 사료효율 및 생존율에 미치는 영향을 조사하였다. 실험종료시 체중의 분포에 따른 소형 개체(체중 10 g)의 빈도는 크기 선별한 small group에 비해 ungraded group에서 매우 높게 나타났다. 실험 전기간동안의 일일성장률은 small group 및 large group에서 각각 최고치 및 최저치를 보였으며, medium group과 선별 group (small group; medium group; large group)의 pooled data는 ungraded group에 비해 높은 수치의 일일성장률을 나타내었다. (P<0.05). 사료섭취율은 ungraded group이 medium group 및 선별 group의 pooled data에 비해 높았던 반면, 사료효율에 있어서는 ungraded group이 이들에 비해 낮게 나타났다(P<0.05). 그리고 ungraded group의 생존율은 93.3%로 99.3% 이상으로 나타난 다른 실험구들에 비해 유의적으로 낮게 나타났다(P<0.05). 결론적으로 크기가 작은 넙치는 큰 넙치가 없는 곳에서 유의하게 빠른 성장과 높은 생존율을 나타내었다. 따라서 크기 선별은 넙치 치어(체중 1-5 g)의 성장과 생존율을 향상시키기 위해서 중요한 작업이 될 수 있다.

• Journal of the Korean Data and Information Science Society
• /
• 제14권1호
• /
• pp.37-44
• /
• 2003

One of the characteristics of both on-line analytical processing(OLAP) applications and decision support systems is to provide aggregated source data. The purpose of this study is to discuss on the aggregation of multi-dimensional data. In this paper, we (1) examine the SQL aggregate functions and the GROUP BY operator, (2) introduce the Data Cube and MDX, (3) present an example for the practical usage of the Data Cube and MDX using sample data.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2008년도 동계학술발표대회 논문집
• /
• pp.440-445
• /
• 2008

In this paper, new methodology is proposed to estimate the cooling load using areas of building group and predicted weather data. Only three parameters such as maximum, minimum temperature and building area are necessary to obtain hourly distribution of cooling load for the next day. The maximum and minimum temperature that are used for input parameters can be obtained from forecasted weather data. The areas of building group are used for setting several parameters that are used for estimate cooling loads. Benchmarking building(research building) is selected to validate the performance of the proposed method, and the estimated cooling loads in hourly bases are calculated and compared with the measured data for benchmarking building. The estimated results show fairly good agreement with the measured data for benchmarking building.