• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.730-736
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• 2009

It is more important to analysis of huge gemonics data in Bioinformatics. Here we present a novel datamining approach to predict structure and function using protein's primnary structure only. We propose not also to develope n-Block substring search algorithm in reducing enormous search space effectively in relation to feature selection, but to formulate weighted linear algorithm in a prediction of structure and function of a protein using primary structure. And we show efficient in protein domain characterization and classification by calculation weight value in determining domain association in each selected substring, and also reveal that more efficient results are acquired through claculated model score result in an inference about degree of association with each CDS(coding sequence) in domain.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.81-89
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• 2018

The purpose of this study is to assess the risk and predict the contingency for modular plant construction projects. Considering the work characteristics of the modular plant, The adapted research method is that suggest models for assessment impact of risk and predict the contingency considering risk. Based on the proposed models, It is selected one modular plant construction project and assessment impact of risk factors and predicted the contingency. The results of this study are as follows: Assessment the probability of occurrence of risk factors and intensity of impact, and extract 15 important risk factors. These are classified as Engineering, Procurement, Fabrication, Transportation, Construction phases to consider the work characteristics of the modular plant. The predicted contingency is that 6.739%(Engineering 2.850%, Procurement 6.225%, Fabrication 6.211%, Transportation 4.165%, Construction 8.168%) to prepare the basic business expense. The model is used as a way to derive quantitative results in the decision-making process for risk management in construction projects.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.165-172
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• 2010

Communication problems have been regarded as one of the biggest causes in trouble in many industries. This led to extensive research on communication as a part of human error analysis. The results of existing researches have revealed that maintaining a good quality of communication is essential to secure the safety of a large and complex process system. In this paper, we suggested a method to measure the quality of communication during off-normal situation in main control room of nuclear power plants. It evaluates the cosine similarity that is a measure of sentence similarity between two operators by finding the cosine of the angle between them. To check the applicability of the method to evaluate communication quality, we compared the result of communication quality analysis with the result of operation performance that was performed by operators under simulated environment.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.241-254
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• 2013

The purpose of this study is to analyse the effects of social network service on the collaborative learning. Four groups were categorized depending on the use of different types of the social network services - Kakao Talk, Facebook, both Kakao Talk and Facebook, and unused group. A preliminary test revealed that there was no difference in mobile efficacy, career decision making self-efficacy, course interest among the four groups. In the post test, the groups that used either Kakao Talk group or the group that used both Kakao Talk and Facebook retained significantly higher average score in team collaboration scale than Facebook group and unused group. The analysis of the messages in Facebook exhibited that the group used both Kakao Talk and Facebook generated larger number of messages, read, replies, clicks of "good" than the groups used only Facebook. These results strongly support the statistical significance.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.729-738
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• 2019

Recently, we aim to improve the quality of virtual reality contents based on quantitative analysis results of emotions through combination of emotional recognition field and virtual reality field. Emotions are analyzed based on the participant's vital signs. Much research has been done in terms of signal analysis, but the methodology for quantifying emotions has not been fully discussed. In this paper, we propose a normalization function design and expression method to quantify the emotion between various bio - signals. Use the Brute force algorithm to find the optimal parameters of the normalization function and improve the confidence score of the parameters found using the true and false scores defined in this paper. As a result, it is possible to automate the parameter determination of the bio-signal normalization function depending on the experience, and the emotion can be analyzed quantitatively based on this.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.414-425
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• 2021

The aim of this study is to measure and evaluate competitiveness of lifelong learning systems of BRICS countries in the respect of National Lifelong Learning System (NLLS). To analyze the data, this study used the mechanism model and 32 indicators and 12 sub-factors developed to measure the NLLS of developing countries. As a result of the Global Lifelong Learning Index (GLLI) measurement, China and Russia were relatively strong, while Brazil and South Africa formed the middle group. India scored relatively low. However, there are areas of lifelong education that each country should focus on, and this study compared and analyzed the strengths and weaknesses of the lifelong learning systems of each BRICS country. It is expected that the findings of this study will be used as standards to evaluate lifelong learning-related policies and make decisions to raise NLLS competitiveness, and as basic materials to know current NLLS situations of BRICS countries.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.71-79
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• 2019

This research proposes an automatic generation system of aimpoints with considering 3D target shapes and CEP(circular error probability) values after determining a target and an azimuth value. In the past, users decided aimpoints manually based on experience or just chose a middle point of the 3D model. Futhermore, it was not possible to select a proper position with consideration of azimuth because users should decide aimpoints before the azimuth value was determined. To solve this problem, this research provides a automatic system to compute proper aimpoints with 3D target shapes, azimuth values and CEP. This article contains the explanation of 3 steps for generating aimpoints automatically: first, generating a reference plane and candidate entry points, then computing scores of each entry points and finally determining an aimpoint from the entry point with the highest score. Users can easily determine a final aimpoint with high probability of success using this system.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.6
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• pp.223-234
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• 2019

Cyber attacks are an important factor that determines the victory and defeat of Network-centric wars in which advanced weapon systems are highly interlinked. In addition the increasing dependability on software as its develop as the latest fighter is demanding enhanced security measures for fighter software to Cyber attacks. In this paper, we apply the DO-326A, which is an airworthiness security certification standard, to design a risk-based security threat assessment process by reflecting characteristics and operational environment of fighter aircraft. To do this, we add the following steps in security threat assessment stage of DO-326A's airworthiness security certification process. First, we derive security threats of fighter. And then, we scored the security threat in terms of possibility and impact on the fighter. Finally, we determine the security risk severity.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.249-259
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• 2018

The purpose of this study was to investigate nurses' consciousness of biomedical ethics and professionalism in general hospitals. Participants in this study were 163 nurses working in 3 general hospitals. Data analysis was done using SPSS / WIN 24.0 program. As a result of this study, the consciousness of biomedical ethics of the nurse was moderate. The highest sub-area was 'right to life of fetus' and 'artificial abortion' was the lowest sub-area. The professionalism of the subjects was moderate. The highest sub-area was 'reference professional group' and 'sense of mission' was the lowest sub-area. The nurses' consciousness of biomedical ethics was related to professionalism. Therefore, nurses should be educated to help ethical decision making so that they can have bioethical value and bioethical decision making ability according to the changes and demands of the times. In addition, institutional arrangements to improve professionalism should be provided.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.3
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• pp.23-30
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• 2010

Compression techniques can be applied to large-scale fingerprint systems to store or transmit fingerprint data efficiently. In this paper, we investigate the effects of FBI WSQ fingerprint image compression on the performance of a fingerprint verification system using multiple linear regressions. We propose a maximum compression using fingerprint image quality score. Based on the experiments, we can confirm that the proposed approach can compress the fingerprint images up to 3 times more than the fixed compression ratio without significant degradation of the verification accuracy.