• Journal of Convergence for Information Technology
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• v.7 no.1
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• pp.55-60
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• 2017

In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.421-427
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• 2019

In this study, we examined the satisfaction level of J university's compulsory liberal arts subject with quantitative research. The results quantitative research are as follows. First, men are more interested in creative thinking, college life guidance and career path design than girls. Second, the level of satisfaction with the required liberal arts subject by grade was found to be without a statistical significant difference. Third, the satisfaction level of each line of learning was shown in the order of natural engineering, health and welfare, physical fitness, and humanities. The satisfaction level of the lines of learning was found to vary. Fourth, The satisfaction level of each campus was found to vary. The results of this study could be used as basic data to improve the college liberal arts curriculum, especially the compulsory liberal arts curriculum. The results of this study could be used as basic data to improve the college liberal arts curriculum, especially the compulsory liberal arts curriculum.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.1
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• pp.82-88
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• 2008

In this paper, Runge-Kutta (RK)-Butcher algorithm is proposed to study the periodic and oscillatory problems. Simulation results obtained using RK-Butcher algorithms and the classical fourth order Runge-Kutta (RK(4)) methods are compared with the exact solutions of a few periodic and oscillatory problems to confirm the performance of the proposed algorithm. The simulation results from RK-Butcher algorithms are always found to be very close to the exact solutions of these problems. Further, it is found that the RK-Butcher algorithm is superior when compared to RK(4) methods in terms of accuracy. The RK-Butcher algorithm can be easily implemented in a programming language and a more accurate solution may be obtained for any length of time. RK-Butcher algorithm is applicable as a good numerical algorithm for studying the problems of orbit and two body as it gives the nearly identical solutions.

• Convergence Security Journal
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• v.16 no.3_2
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• pp.13-23
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• 2016

North Korea had recently conducted the fourth nuclear test and ICBM tests, dared nuclear provocation targeting the Korea and the international community. It is determined based on experiments of nuclear and missile in progress in North Korea that the technical level of nuclear force reached the completion stage of standardization, lightweight, and variation. It is expected to become reality that North Korea executes the nuclear provocation targeting the Korea and the international community in the near future. Nuclear bomb is an absolute weapon that the logic of counterattack after allowing the first strike of the other party cannot be applied due to its tremendous destructive power. Therefore, as the opponent to North Korea that it decided to hold the nuclear, the exercise of anticipatory self-defense in order to guarantee a minimum of right to life is not a choice, but the only essential correspondence concept. At the moment that the North Korean nuclear provocation is expected in the near future, it shall be provided with competence to strike the origin region of provocation by forming a national consensus of preemptive strike enforcement. Also, in preparation for the fifth nuclear test of North Korea, which is anticipated, the national competence must be mobilize to be able to ensure the 'Nuclear Option' from the international community.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.269-276
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• 2015

In order to examine the relationship between cholesterol level on serum and depression in Korean adults, this study used data of the fourth Korea National Health and Nutrition Examination Survey (KNHANES). 834 persons with depressive symptoms were selected as an index group and 3,317 persons without depressive symptoms as a control group, and odds ratios were calculated by multivariate logistic regression. As a result, odds ratio of depressive symptoms was higher in low LDL group (OR=6.435, 95% CI; 2,358-17.557) than in high LDL group adjusted after monthly income, marital status, period of education, occupation, smoking status, and physical activity. Etiopathogenic mechanism must be found by convergent study in the future.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.45-53
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• 2020

With the advent of the Fourth Industrial Revolution, the central axis of the industry is shifting to SMEs, and online is becoming the center of marketing. In this regard, this study is aimed at the service quality and the characteristics of companies as the factors for the activation of SMEs' online export support projects and their performance creation. The study conducted a survey of companies applied for the government's online export support project. As a result, it was found that the reliability of the service quality and the characteristics of the company (CEO's will, Trade Expert), except for convenience, have a significant effect on the service utilization and performance. Accordingly, in order to revitalize the online export support business of SMEs, it is necessary to improve the human competence of enterprises and the reliability of service quality of supporting institutions. This study is meaningful in that it confirms the importance of the credibility required by the support organization as well as the characteristics for strengthening the capability of the company. However, there are limitations in not reflecting various factors of service quality and company characteristics.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.325-336
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• 2017

In this study to identify a causal relationship between daily stress, ego-resilience and the quality of life of the elderly in long-term care facility, a causal relationship model was set up and path analysis was performed. The data collected from 380 elderly users in private long-term care facilities in Greater Seoul Metropolitan area were analyzed using SPSS 22.0 and AMOS 22.0 to analyze the correlation between daily stress, ego-resilience, and the quality of life of the elderly. The results of this study are as follows; First, daily stress of the elderly showed a negative (-) direct effect on the quality of life. Second, the ego-resilience of the elderly had a positive (+) direct effect on the quality of life. Third, daily stress of the elderly showed a positive (+) direct effect on ego-resilience. Fourth, daily stress of the elderly showed indirect effect and partial mediating effect on the quality of life through ego-resilience. Therefore, in order to improve the quality of life of the elderly, it is necessary to develop programs and institutional support to reduce daily stress and increase ego-resilience.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.529-536
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• 2019

Recently, various efforts have been tried in the construction industry to improve productivity by applying the fourth industrial revolution technology. Among the various technologies, researches for the automation and digitization of earthworks are being carried out steadily. As the interest in the benefits of digitalization of the earthwork field has increased, there have been more cases of technology development and application for digitalization of the earthwork field. However, there is not enough case study to present the analysis results of application cases. The purpose of this study is to verify the feasibility of applying the digitization technology of the earthwork in actual worksite. In order to digitize the worksite terrain, it is required the process of field measurement, measurement data registration, earthwork information input, and analysis cell generation. Particularly, it is possible to achieve information-enabled digitization rather than digitalizing only the shape through the input of the earthwork information and the analysis cell generation. By using the digital information of the earthwork field, it is possible to visually recognize the change of the earthwork field, so that it is expected to enhance the worker 's understanding and to be highly applicable to the management work. It is expected that the digital technology of earthwork site will be able to know the precise amount of volume change of the earthwork numerically, and it will be highly applicable to construction management.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.55-61
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• 2019

In order to realize foreign language education, various existing educational media have been provided, but there are disadvantages in that the cost of the parish and the media program is high and the real-time responsiveness is poor. In this paper, we propose an artificial intelligence English conversation system based on VR and speech recognition. We used Google CardBoard VR and Google Speech API to build the system and developed artificial intelligence algorithms for providing virtual reality environment and talking. In the proposed speech recognition server system, the sentences spoken by the user can be divided into word units and compared with the data words stored in the database to provide the highest probability. Users can communicate with and respond to people in virtual reality. The function provided by the conversation is independent of the contextual conversations and themes, and the conversations with the AI assistant are implemented in real time so that the user system can be checked in real time. It is expected to contribute to the expansion of virtual education contents service related to the Fourth Industrial Revolution through the system combining the virtual reality and the voice recognition function proposed in this paper.