• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.106-106
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• 1999

When we design real-time software target system is analyzed and then we structure sequential executive modules into concurrent tasks. As a result of the analysis, control flow and dataflow diagram based on the RTSA notation is produced. This diagram is structured into concurrenttasks under the condition that performance problem is not serious. The criteria structuring concurrenttasks are introduced as Concurrent Design Approach for Real-Time System(CODARTS) by Gomaa.But structuring concurrent tasks using the criteria of CODARTS is somewhat difficult because thecriteria are dependent on designer's experience. CODARTS is an wide-range and abstractmethodology. As a result, the design can be inconsistent and peoples can understand it differently Inthis paper, we restructure the CODARTS methodology, propose a revised CODARTS structure andrepresent the task structuring steps for this new framework to overcome the understanding andinconsistency problems. The revised CODARTS framework and task structuring steps can be used toautomate the design of real time concurrent software systems. Finally, we show an example of taskstructuring in revised CODARTS framework.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.73-94
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• 2009

The general aspects for the future warfare shows that the concept of firepower and maneuver centric warfare has been replacing with that of information and knowledge centric warfare. Thus, some developed countries are now trying to establish the information systems to perform intelligent warfare and innovate defense operations. The C4I(Command, Control, Communication, Computers and Intelligence for the Warrior) systems make it possible to do modern and systematic war operations. The basic idea of this study is to investigate how TAM(Technology Acceptance Model) can explain the acceptance behavior in military organizations. Because TAM is inadequate in explaining the acceptance processes forcomplex technologies and strict organizations, a revised research model based upon TAM was developed in order to assess the usage of the C4I system. The purpose of this study is to investigate factors affecting the usage of C4I in the Korean Army. The research model, based upon TAM, was extended through a belief construct such as self-efficacy as one of mediating variables. The self-efficacy has been used as a mediating variable for technology acceptance, and the variable was included in the research model. The external variables were selected on the basis of previous research. The external variables can be classified into following: 1) technological, 2) organizational, and 3) environmental factors on the basis of TOE(Technology-Organization-Environment) framework. The technological factor includes the information quality and the task-technology fitness. The organizational factor includes the influence of senior colleagues. The environmental factor includes the education/train data. The external variables are considered very important for explaining the behavior patterns of information technology or systems. A structured questionnaire was developed and administrated to those who were using the C4I system. Total 329 data were used for statistical data analyses. A confirmatory factor analysis and structured equation model were used as main statistical methods. Model fitness Indexes for measurement and structured models were verified before all 18 hypotheses were tested. This study shows that the perceived usefulness and the self-efficacy played their roles more than the perceived ease of use did in TAM. In military organizations, the perceived usefulness showed its mediating effects between external variables and dependent variable, but the perceived ease of use did not. These results imply that the perceived usefulness can explain the acceptance processes better than the perceived ease of use in the army. The self-efficacy was also used as one of the three mediating variables, and showed its mediating effects in explaining the acceptance processes. Such results also show that the self-efficacy can be selected as one possible belief construct in TAM. The perceived usefulness was influenced by such factors as senior colleagues, the information quality, and the task-technology fitness. The self-efficacy was affected by education/train and task-technology fitness. The actual usage of C4I was influenced not by the perceived ease of use but by the perceived usefulness and selfefficacy. This study suggests the followings: (1) An extended TAM can be applied to such strict organizations as the army; (2) Three mediation variables are included in the research model and tested at real situations; and (3) Several other implications are discussed.

• Journal of Korean Society for Quality Management
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• v.30 no.1
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• pp.152-161
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• 2002

The analysis of large data sets with hundreds of thousands observations and thousands of independent variables is a formidable computational task. A less parametric method, capable of identifying important independent variables and their interactions, is a tree structured approach to regression and classification. It gives a graphical and often illuminating way of looking at data in classification and regression problems. In this paper, we have reviewed and summarized tile methodology used to construct a tree, multiple trees and the sequential strategy for identifying active compounds in large chemical databases.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.89-109
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• 2021

The purpose of this study is to provide background information for the improvement of e-Book service task in academic libraries through the task analysis of e-Book service librarians. The semi-structured interviews with 9 participants were analyzed using Activity Theory. The study results showed that participants have used various tools and interacted with diverse people to attain the goals of e-Book services. In addition, the division of labor and rules related to e-Book services were observable. However, there exist some problems in task performance, such as lack of budget, inconvenience of use due to unstandardized e-Book production, and disagreements of opinions. Furthermore, based on participants' responses, the ways of improvement of e-Book services in academic libraries were suggested in the aspects of content, system, and policy.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.1
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• pp.71-80
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• 2012

Purpose: This study was conducted to assess stressful life events and quality of life in nursing students. Methods: We performed a cross-sectional research design. A structured questionnaire was designed to collect data on participants' socio-demographics, stressful life events (interpersonal relationship & task-related events) and quality of life (WHOQOL-Bref) in September 2011. Descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficient and hierarchical multiple regression were applied to data analysis. Results: A total of 135 nursing students were surveyed. The score of the task-related stressful life events was higher than that of the interpersonal stressful life events. Physical domain score ($13.53{\pm}2.33$) was highest but environmental domain score ($12.75{\pm}2.34$) was lowest in quality of life. Satisfaction with campus life affected stressful life events (F=11.82, p<.001) and quality of life (F=17.77, p<.001), and extracurricular activities affect quality of life (t=-2.51, p=.013). Quality of life was negatively associated with task-related stressful life events (r=.-51, p<.001). Multiple regression analyses showed that extracurricular activities, satisfaction with campus life and task-related stressful life events were statistically significant in predicting quality of life with the explanatory power of 40.6%. Conclusion: This study could be a reference to improve the quality of life of nursing students.

• Smart Media Journal
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• v.10 no.2
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• pp.16-21
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• 2021

Financial time series analysis plays a very important role economically and socially in modern society and is an important task affecting global development, but due to difficulties such as a lot of noise and uncertainty, financial time series analysis prediction is a difficult research topic. In this paper, we propose a market prediction method (MPIL) by converting unstructured data and structured data into images. For market prediction, it analyzes SNS and news data, which is unstructured data for n days, and converts the market data, which is structured data, to an image with the GADF algorithm, and predicts an ultra-short market that predicts the price of n+1 days through image learning. MPIL has an average accuracy of 56%, which is higher than the 50% average accuracy of the model that predicts the market with LSTM by using sentiment analysis used for existing market forecasting.

• Journal of Distribution Science
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• v.18 no.1
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• pp.107-121
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• 2020

Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.

• Quality Improvement in Health Care
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• v.4 no.2
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• pp.210-221
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• 1997

Background : Willingness to satisfy patients(WSP) among nurses is essential to promoting patient satisfaction which is a critical component in the quality of health care and its outcomes. This study was carried out to empirically find out the affecting factors of WSP among nurses in hospital settings. Methods : The model contains seven job relating determinants and two intervening variables as follows: i) job relating variables of professional status, task requirements, pay, physician-nurse interaction, nurse-nurse interaction, organizational policies, and autonomy, ii) intervening variables of job satisfaction and organizational commitment. Data were collected from 205 nurses in two general hospitals owned by one foundation located in Pusan, Korea, using a structured and self-administered questionnaire. Results : The major results were as follows: First, the results of ANOVA on WPS by personal characteristics showed a statistically significant relationships between WPS and hierarchical orders(p<.01) ana tenure(p<.10). Comparing with the lower orders and shorter tenure, the higher orders and the longer tenure showed better WPS. Second, the results of simple correlation analysis between WPS and determinants and intervening variables showed the following variables, in order of importance, were statistically significant(p<.01): work satisfaction(+), organizational commitment(+), task requirements(+), nurse-interaction(+), professional status(+), physician-nurse interaction(+). Third, the results of path analysis showed that two intervening variables of job satisfaction and organizational commitment, and three determinants of task requirements, professional status, and nurse-nurse interaction had a positively significant direct effect to WPS. Conclusion : The results suggest that nurses who are more satisfied with task requirements, status, nurse-nurse interaction, overall job satisfaction, and organizational commitment, will behave in ways that patients find more satisfied.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.374-388
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• 2022

Database systems usually have many parameters that must be configured by database administrators and users. RocksDB achieves fast data writing performance using a log-structured merged tree. This database has many parameters associated with write and space amplifications. Write amplification degrades the database performance, and space amplification leads to an increased storage space owing to the storage of unwanted data. Previously, it was proven that significant performance improvements can be achieved by tuning the database parameters. However, tuning the multiple parameters of a database is a laborious task owing to the large number of potential configuration combinations. To address this problem, we selected the important parameters that affect the performance of RocksDB using random forest. We then analyzed the effects of the selected parameters on write and space amplifications using analysis of variance. We used a genetic algorithm to obtain optimized values of the major parameters. The experimental results indicate an insignificant reduction (-5.64%) in the execution time when using these optimized values; however, write amplification, space amplification, and data processing rates improved considerably by 20.65%, 54.50%, and 89.68%, respectively, as compared to the performance when using the default settings.

• Journal of Technologic Dentistry
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• v.33 no.4
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• pp.467-478
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• 2011

Purpose: The purpose of this study was to analyze dental technician's job environment and health condition level and to examine its correlation. Methods: 250 dental technicians in Seoul, Incheon, and Jeonbuk area were selected. Survey was carried out from October 11, 2010 to November 25, 2010 by using self-administered questionnaire. As for the tools for this study, the structured questionnaire was used with its proven reliability and feasibility, and the questionnaire consisted of total 49 questions which included general attribute of subjects(14 questions), job Environment(13 questions) and health condition(22 questions). The data analysis was processed by computerized system with SPSS Win 17.0. Statistical analysis techniques included frequency, percentage, T-test, One-way ANOVA analysis and regression analysis. Results: As a result of analyzing the research subjects' job environment level, there was significant difference in the item of gender, working hours a day(Hour), healthy condition, job satisfaction level with dental technician, plan for task continuity in dental technician(P<0.05). The average in the job environment was indicated to be high with 2.85. As a result of analyzing the research subjects' health condition level, there was significant difference in the item of gender, task field, working hours a day(Hour), healthy condition, job satisfaction level, plan for task continuity(P<0.05). The average in the self health recognition was indicated to be high with 2.83. Conclusion: Correlation between job environment and health condition, all of variables were indicated to have reverse correlation, thereby having been shown that the worse job environment leads to the more physical subjective symptoms.