• Journal of Digital Convergence
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• v.13 no.8
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• pp.133-144
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• 2015

In digital convergence environment, information security management plays crucial role in maintaining firms' competitiveness. Organizational citizenship behavior(OCB) enables informations security countermeasures to be more effectively worked by helping employees to have much knowledge of information security policy, by facilitating employees to participate in information security education/training. Thus, the purpose of this study is to investigate the mediating effect of OCB on the relationships between information security countermeasures and compliance intention. Questionary was designed based on prior information security research, and survey was conducted among companies' employees across the industry. Results showed that information security policy and information security education/training were found to be key predictors of compliance intention. In addition, OCB was proven to mediate the relationships between information security countermeasures and compliance intention.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.461-470
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• 2015

This study was to identify the level of perception and practice of hospital infection control among nurses at geriatric hospitals for the convergent approach. Data were collected from October 29 to November 3, 2012, using hospital Infection control questionnaire. Data analysis was performed using a t-test, ANOVA and Correlation. The mean values of hospital infection control practice were lower than that of perception, the differences were statistically significant. There were statistically significant differences in the perception on age, education, existence of guidelines for infection control, and in the practice according to the existence of guidelines. There was a statistically significant positive correlation between perceptions of hospital infection control and practice. Therefore, it is necessary to provide continual opportunities for systematic, professional, and practical education, as well as to develop relevant programs aimed at improving the capacity of hospital infection control.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.205-212
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• 2016

This study attempts to empirically investigate if value strategy and momentum strategy could be improved by using past financial data such as ROE and PER in the Korean stock market. The study observes that both strategies which are refined by the portfolios consisting of companies with higher ROE/PER ratio show higher positive excessive returns than the traditional value strategy and momentum strategy. The study discusses that the excessive returns could be due to investors' behavioral biases such as conservatism, anchoring, confirmation, and herding by using convergent approach based on psychology theory. The results are not consistent with the efficient market hypothesis insisting investors' rational behavior.

• Convergence Security Journal
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• v.15 no.3_1
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• pp.91-97
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• 2015

When we estimate any organization, we can use scientific tool such as organizational effectiveness. It is very difficult to know the level of organizational goal. If you plan how to assess the effectiveness of your organization, It is a complex and difficult problem, because a few social scientist think that there are many point of view of an concept of organizational goals based on the relatively concrete concept of organizational effectiveness. Social scientist Campbell insist that it is impossible to estimate organizational effectiveness accurately. So we should develope the perfect method to measure the organization as a system, the member's self satisfaction, the efficiency of the team. To achieve a good organizational effectiveness, we should study the method of approach about organizational effectiveness. This is theoretical study and show that the concept and method of approach about organizational effectiveness.

• Convergence Security Journal
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• v.20 no.2
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• pp.123-135
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• 2020

Since AlphaGo's Match in 2016, there has been a growing calls for artificial intelligence applications in various industries, and research related to it has been actively conducted. The same is true in the military field, and since there has been no weapon system with artificial intelligence so far, effort to implement it are posing a challenge. Meanwhile, AlphaGo Zero, which beat AlphaGo, showed that artificial intelligence's self-training data-based approach can lead to better results than the knowledge-based approach by humans. Taking this point into consideration, this paper proposes to apply Reinforcement Learning, which is the basis of AlphaGo Zero, to the Shipboard Combat System or Combat Management System. This is how an artificial intelligence application to the Shipboard Combat System or Combat Management System that allows the optimal tactical assist with a constant win rate to be recommended to the user, that is, the commanding officer and operation personnel. To this end, the definition of the combat performance of the system, the design plan for the Shipboard Combat System, the mapping with the real system, and the training system are presented to smoothly apply the current operations.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.191-201
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• 2018

This study aims to analyze the causes and results of the significant changes in the architecture of Japanese architect Kenzo Tange in the 1960s. For a new era and new architecture of Japan, Tange who has been successful in leading the early modern architecture of Japan. since the 1960s, proposed a structuralist approach, deviating from the existing functionalist tendencies that he has pursued. Therefore, in this paper, we examine what structural changes tend to be made in the post-1960s from the functionalist tendencies of the previous period, and what causes the changes to structuralist tendencies. In conclusion, rather than suggesting alternatives to deny the existing concept of functionalism, Tange's theory encompassed both functionalism and structuralism and achieved the effective reorganization of functions while complementing the disadvantages of existing functionalism through functional elements and their structuring.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.2
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• pp.87-93
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• 2018

This Study Propose A New Approach To Impliment A Intelligent Robot Control Based on Voice Recognition For Smart Factory Automation Since human usually communicate each other by voices, it is very convenient if voice is used to command humanoid robots or the other type robot system. A lot of researches has been performed about voice recognition systems for this purpose. Hidden Markov Model is a robust statistical methodology for efficient voice recognition in noise environments. It has being tested in a wide range of applications. A prediction approach traditionally applied for the text compression and coding, Prediction by Partial Matching which is a finite-context statistical modeling technique and can predict the next characters based on the context, has shown a great potential in developing novel solutions to several language modeling problems in speech recognition. It was illustrated the reliability of voice recognition by experiments for humanoid robot with 26 joints as the purpose of application to the manufacturing process.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.3
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• pp.148-156
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• 2005

The purpose of this paper is to propose an approach to design a robust servo controller based on the mixed $H_2/H_{\infty}$ theory, and confirm its validity by applying to a benchmark problem. First, the existing $H_{\infty}$ servo problem is modified to a structure for the mixed $H_2/H_{\infty}$ control problem by virtue of the internal model principle. By making use of proposed structure, we can divide specifications required in the robust servo system design into $H_2$ and $H_{\infty}$ performance criteria, respectively. It is shown that the proposed design approach is quite effective through an application to a three inertia benchmark problem.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.272-278
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• 2007

In this paper, we present an automated API translator for embedded software development based on a model-driven approach. Since MDA(Model Driven Architecture) provides little support for the development of embedded software, we propose a new method which contains the MDA's advantage, automation of implement process, and can solve the problem of real-time overhead. First, we define 'generic APIs' which do not depend on any RTOS's but provide most of typical RTOS services. We can describe RTOS-related behaviors of target application using these generic APIs in a CIC(Common Intermediate Code). Then, we propose a transformation tool for translating a CIC using generic APIs into a C-code for specific RTOS. The proposed API translator converts them into C-code using XML transformation rule which is defined outside. It indicates that an API translator extends to other RTOS's by modifying or adding the transformation rule. From the experiment, we validate the proposed method.

• Convergence Security Journal
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• v.17 no.1
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• pp.31-38
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• 2017

As the cyber-attacks through the networks advance, it is difficult for the intrusion detection system based on the simple rules to detect the novel type of attacks such as Advanced Persistent Threat(APT) attack. At present, many types of research have been focused on the application of machine learning techniques to the intrusion detection system in order to detect previously unknown attacks. In the case of using the machine learning techniques, the performance of the intrusion detection system largely depends on the feature set which is used as an input to the system. Generally, more features increase the accuracy of the intrusion detection system whereas they cause a problem when fast responses are required owing to their large elapsed time. In this paper, we present a network intrusion detection system based on artificial neural network, which adopts a multi-objective genetic algorithm to satisfy the both requirements: accuracy, and fast response. The comparison between the proposing approach and previously proposed other approaches is conducted against NSL_KDD data set for the evaluation of the performance of the proposing approach.