• Fire Science and Engineering
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• v.26 no.2
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• pp.32-39
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• 2012

This research focuses on finding the way of improving creativity in fire stations by scrutinizing the factors influencing and enhancing creativity in organizations. As environmental changes including the needs of citizens as well as the climate change are moving culminated today, fire stations should be changed appropriately to get the legitimacy of existence not to mention their own mission accomplishments. In this respect, the creativity can be expected as the main factor for fire stations' going concern. This research provided 5 hypotheses to find whether the chosen factors such as vision, learning/unlearning and positive feedback affect the creativity in fire stations. To prove hypotheses are valid, we employed survey as a method in which 155 firemen in Seoul responded, ending up with getting the result that the vision formulation and sharing, unlearning activities and positive feedback improve organizational creativity. In conclusion, this paper suggests that fire stations establish useful policies for the creativity based on these research findings.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1285-1296
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• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.8
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• pp.900-908
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• 2012

Owing to the proliferation of smart phone users, a proactive spectrum policy is needed in order to deal with increasing data traffic. Therefore, the prediction of frequency requirements for future wireless local area network (WLAN) as well as a licensed cellular communication is necessary. In this paper, we proposed a new prediction method for WLAN spectrum requirements. This method includes both a traditional prediction method and an offloading percentage from cellular network, Also, it can consider a frequency interference between access points using a statistical approach. Based on these approaches, we can predict the spectrum requirements of future domestic WLAN services considering the frequency interference. Finally, we suggest the spectrum policy for WLAN which can prevent spectrum shortage of future WLAN services.

• Journal of Information Management
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• v.41 no.4
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• pp.141-163
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• 2010

It's getting popularized to collect information connecting web sites with massive information through the internet and advanced search engines. Users can handle digital materials like E-book wherever the internet is available and they will demand digital information increasingly. This study analyzes literature investigation, statistics analyses of the attached library of Kyushu University, drawings and field investigation to suggest a new model of a library which handles traditional paper-formed materials and digital-formed materials at one place with growing importance of digital materials. It results that a library performs a important role like a learning space and functions as a sociocultural communication space. Also it shows that it is required to basically reinvestigate the role of 'space' in the library with a great importance of digital materials. In the hybrid library combined with subjects and reorganized at one place, One-stop services like library materials and manpower can be provided for users staying at the same area.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.548-562
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• 2022

This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.26-34
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• 2019

This descriptive convergence research is to get basic data for educational program by investigating awareness on pediatric nurses and nursing prospects after pediatric clinical practicum among 143 junior nursing students. Using SPSS/Win 21.0, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression were carried out. The awareness of subjects on pediatric nurses was $4.09{\pm}0.61$ on a scale of 5, which was higher than the traditional and social ones, and nursing prospects' was $3.31{\pm}0.65$ on a scale of 5. There're significant differences partially in awareness on pediatric nurses according to sex, age, satisfaction in nursing and practium hospitals. Awareness on nursing prospects of those who had average satisfaction in nursing was higher than others(p<.002). There was a positive correlation between subvaribles of awareness on pediatric nurses and nursing prospects(r=.287~.510, p<.01), Traditional and social awareness were the significant factors on nursing prospects in hierarchical multiple regression, and the explannation rate was 29.2%(p<.001). It's needed to raise awareness on nursing prospects by improving traditional and social awareness on pediatric nurses.

• The Korean Journal of Applied Statistics
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• v.4 no.2
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• pp.157-170
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• 1991

This article is concerned with the goodness - of - fit test for exponentiality when both the scale and location parameters are unknown. A test procedure based on the $L_1$-norm of discrepancy between the cumulative distribution function and the empirical distribution function is proposed, and the critical values of the test statistic are obtained by Monte Carlo simulations. Also the null distributions of the proposed test statistic are presented for small sample sizes. The power of tests under certain alternative distributions is investigated to compare the proposed test statistic with the well-known EDF test statistics. Our Monte Carlo power studies reveal that the proposed test statistic has good power properties, for moderate-to-large sample sizes, in comparison to other statistics although it is a conservative test.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.2
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• pp.166-173
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• 2004

The new way of doing education in cyber space is not limited by time or locations. The students do not need to attend classroom physically on time. Networked computers allow students to study their subjects at any time and any where. This study tries to probe the relationships among demographic variables and instructional variables with students satisfaction in the management education. Pervious studies found out that the critical success factors of cyber educations are based on the demographic and instructional variables. The results of the study demonstrate that demographic variables are not significantly related with students satisfaction. Rather instructional variables such as personal interactions with professors, job related contents and careful reduction of difficulties countered during the class proceeding are more significantly related with learning satisfaction. The result shows the newly emerged internet based education system requires in-depth collaborations and coordination among professors, system engineers, education instrument designers, and students.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1047-1061
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• 2015

Stratified random sampling is a powerful sampling strategy to reduce variance of the estimators by incorporating useful auxiliary information to stratify the population. Sample allocation is the one of the important decisions in selecting a stratified random sample. There are two common methods, the proportional allocation and Neyman allocation if we could assume data collection cost for different observation units equal. Theoretically, Neyman allocation considering the size and standard deviation of each stratum, is known to be more effective than proportional allocation which incorporates only stratum size information. However, if the information on the standard deviation is inaccurate, the performance of Neyman allocation is in doubt. It has been pointed out that Neyman allocation is not suitable for multi-purpose sample survey that requires the estimation of several characteristics. In addition to sampling error, non-response error is another factor to evaluate sampling strategy that affects the statistical precision of the estimator. We propose new sample allocation methods using the available information about stratum response rates at the designing stage to improve stratified random sampling. The proposed methods are efficient when response rates differ considerably among strata. In particular, the method using population sizes and response rates improves the Neyman allocation in multi-purpose sample survey.