• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.702-723
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• 2020

The application of machine learning (ML) in intrusion detection has attracted much attention with the rapid growth of information security threat. As an efficient multi-label classifier, kernel extreme learning machine (KELM) has been gradually used in intrusion detection system. However, the performance of KELM heavily relies on the kernel selection. In this paper, a novel multiple kernel extreme learning machine (MKELM) model combining the ReliefF with nature-inspired methods is proposed for intrusion detection. The MKELM is designed to estimate whether the attack is carried out and the ReliefF is used as a preprocessor of MKELM to select appropriate features. In addition, the nature-inspired methods whose fitness functions are defined based on the kernel alignment are employed to build the optimal composite kernel in the MKELM. The KDD99, NSL and Kyoto datasets are used to evaluate the performance of the model. The experimental results indicate that the optimal composite kernel function can be determined by using any heuristic optimization method, including PSO, GA, GWO, BA and DE. Since the filter-based feature selection method is combined with the multiple kernel learning approach independent of the classifier, the proposed model can have a good performance while saving a lot of training time.

• International Journal of Ocean System Engineering
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• v.2 no.4
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• pp.233-238
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• 2012

In this study, we carried out a precedent investigation for an ultra-large container ship, which is expected to be a higher value-added vessel. We studied a preliminary optimized design technique for estimating the principal dimensions of an ultra-large container ship. Above all, we have developed optimized dimension estimation models to reduce the building costs and weight, using previous container ships in shipbuilding yards. We also applied a generalized estimation model to estimate the shipping service costs. A Genetic Algorithm, which utilized the RFR (required freight rate) of a container ship as a fitness value, was used in the optimization technique. We could handle uncertainties in the shipping service environment using a Monte-Carlo simulation. We used several processes to verify the estimated dimensions of an ultra-large container ship. We roughly determined the general arrangement of an ultra-large container ship up to 1500 TEU, the capacity check of loading containers, the weight estimation, and so on. Through these processes, we evaluated the possibility for the practical application of the preliminary design model.

• Journal of Venture Innovation
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• v.1 no.2
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• pp.109-121
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• 2018

New technology had been introduced continually and in many cases, we approached technology persepectives when the new technology were introduced. It was very important that researching users acceptance of the new technology in the areas of marketing and strategy. Regarding to user accepatance of new technology, many research models had been exited. This study compared with 2 models which were proposed by Venkatesh et al. named UTAUT1, UTAUT2 based on the criteria which composed of application context, variables of model, the impacts of variables. The dominant matric which was applied in all functions and industries was not exited. For the purpose of improving predictability, single or compound matrics were useful according to industries and usage

• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.213-229
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• 2005

Cost overrun or schedule delay of the software development project happens frequently despite that software developers continue to make every effort for the effective management of the projects. Previous researches have ascertained that these problems are ascribed to the uncertainty of projects and the improper management of the projects. The purposes of this research are to investigate the impacts of user participation and task interdependence on the performance of the projects and also to find out the appropriate project management method to improve the project performance. Even though the model fitness of the path model is proved to be very high, the verification of the hypotheses showed a variety of results including the four verifications and the one refutation of the hypotheses as well as the suggestion of one alternative hypothesis. The contribution of this research is that the integration model is proposed and verified, comprising the relationship among the user participation, the task interdependence, and the performance of software development projects. A project manager can utilize the implication of this research for an effective management of software development project.

• The Journal of Information Systems
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• v.25 no.2
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• pp.51-77
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• 2016

Purpose Organizations invest significant portions of their budgets in fortifying information security. Nevertheless, the security threats by employees are still at large. We discuss methods to reduce security threats that are posed by employees in organization. This study finds antecedent factors that increases or decreases employee's compliance intention. Also, the study suggests organizations' security environmental factors which influences the antecedent factors of compliance intention. Design/methodology/approach The structural equation model is then applied in order to verify this research model and hypothesis. Data were collected on 415 employees working in organizations with an implemented information security policy in South Korea. We analyzed the fitness and validity of the research model via confirmatory factor analysis in order to verify the research hypothesis, then we analyzed structural model, and derived the result. Findings The result shows that organizational commitment and peer behavior increase security compliance intention of employees, while security system anxiety decreases compliance intention. And, organization's physical security system and security communication both have influence on antecedent factors for information security compliance of employees. Our findings help organizations to establish information security strategies that enhance employee security compliance intention.

• Korean journal of food and cookery science
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• v.27 no.3
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• pp.71-79
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• 2011

The purpose of this study was to understand effects of culinary staff's technology kitchen system upon perceived ease of use, usefulness, attitude, and job performance in the foodservice industry. Based on a total of 387 samples obtained from empirical research, this study reviewed the reliability and fitness of the research model and verified a total of four hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=226.501 (df=85), p<.001, CMIN/df 2.665, RMR .066, GFI .927, NFI .926, IFI .952, TLI .941, CFI .952. The results show that culinary staff's perceived ease of use(${\beta}$=.534) had a significant positive effect on perceived usefulness. Also, perceived ease of use (${\beta}$=.350) and perceived usefulness (${\beta}$=.297) had a positive significant effect on attitude. Further, attitude (${\beta}$=1.647) had a significant positive effect on job performance. Limitations and future research directions are also discussed.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.371-384
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• 2005

Purpose: The aim of this study was to analysis path model of the research variables. Methods: The subjects of this study were 647 nurses who were working in the 8 general hospitals located in Seoul and Incheon area. The data were collected by self-reporting questionnaires. The data were analyzed using descriptive statistics and path analysis. Results: In the modified path model, overall fitness indexes were $X^2$= 223.27, goodness of fit index=0.90, root mean square residual=0.039, root mean square error of approximation=0.12, non-normed fit index=0.96, and normed fit index=0.90. From the model, among research variables that influence organizational effectiveness motivator, job satisfaction and organizational identification affected directly work performance. In internal marketing factors, paid-leave, communication and reward affected directly motivator. Motivator and hygiene factors affected directly job satisfaction, organizational commitment and organizational identification. Conclusion: With these findings, paid-leave, communication, reward, motivator, job satisfaction and organizational identification were direct or indirect predictors of the work performance. Therefore nursing managers ought to develop internal marketing strategies and motivation enhancing system for nurses based on this path model in order to improve the nursing organizational effectiveness.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.3
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• pp.325-335
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• 2009

Purpose: The purpose of this study was to examine the relationships among TQM activities, compensation equity, and performance in hospitals. This study was designed to construct a structural equation model of TQM activities, compensation equity, and performance. Method: The subjects were 239 personnels working in four hospitals in Daegu and Gyeongpook. Data were collected using structured questionnaire from October 4, 2007 to February 4, 2008. The collected data were analyzed using the SPSS 12.0 and AMOS 5.0 program. Result: The overall fitness of the structural equation model was evaluated. These results showed that the model was adequate. TQM activities directly influenced organizational performance and indirectly influenced organizational performance through compensation equity. Conclusion: In testing the structural equation model, the findings showed that TQM activities and compensation equity were important factors for improving organizational performance. Therefore, to improve performance, the hospital leaders must establish the strategies to facilitate TQM activities. It is also necessary to establish effective reward and performance appraisal systems to induce positive participation of personnels in hospitals.

• Asian Oncology Nursing
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• v.11 no.2
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• pp.101-107
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• 2011

Purpose: This study was to understand and explain the adjustment of cancer patients receiving chemotherapy. Variables in this model were social support, uncertainty, resilience and coping. Methods: The data were collected for approximately five months from May through to September 2006 with cancer patients receiving chemotherapy or cancer patients finished chemotherapy using self-administered questionnaires. Descriptive statistics program, Amos 5.0, was employed to verify the goodness of the hypothetic model and the hypotheses formulated in the study. Results: The fitness of the finalized model turned out to be improved ($X^2$=332.644, df=70, GFI= .809, AGFI= .714, RMSEA= .138, AIC=402.644). Those variables made a 60.8% prediction of the patients adjustment. Conclusion: The hypothetic model presented in the study could serve to explain the adjustment of cancer patients receiving chemotherapy. Moreover, the use of the conceptual framework of the theory of planned nursing intervention would be very worthwhile as a strategy to boost the adjustment of cancer patients when receiving chemotherapy.

• Korean journal of food and cookery science
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• v.26 no.3
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• pp.272-280
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• 2010

The purpose of this study was to understand the interrelationships between the customers' perception of verbal and nonverbal communication, customers' trust and satisfaction in the family restaurant. Based on a total of 310 samples that were obtained from empirical research, this study reviewed the reliability and fitness of the research model and verified a total of 2 hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously using a structural equation model(SEM). The proposed model provided an adequate fit to the data, $X^2$=953.126(df=417), p<.001, CMIN/df 2.286, GFI .831, NFI .889, IFI .934, TLI .926, CFI .934. The results showed that employees' verbal communication ($\beta$=.264), paralanguage ($\beta$=.172) and physical appearance ($\beta$=.120) among the nonverbal communications had a significant positive effect on the customers' trust. In addition, the customers' trust ($\beta$=.644) had a significant positive effect on the customer satisfaction. Limitations and future research directions are also discussed.