• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.219-227
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• 2020

Smart Factory is one of the fastest developing and changing fourth industrial revolution fields. In particular, the degree of introduction and maturity level in the smart factory is an important part. In this paper, a cluster analysis of companies introduced smart factory was performed based on a new maturity assessment model. The 68% of 193 companies surveyed were at the basic level, with only 21% being the middle one. Most SMEs cited lack of funds as the main reason for not entering the middle one. As a result of the cluster analysis, it was found that all clusters had similar patterns but grouped into one of three levels of high, middle, and low depending on maturity level of smart factory operation, and process domain had the highest maturity and data domain was lowest among the 6 domains. Through this, analysis of more specific and quantified maturity levels can be performed using 6-domain smart factory maturity evaluation model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.772-778
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• 2012

In this paper, the states and the parameters in the dynamic system are simultaneously estimated by applying the UKF(Unscented Kalman Filter), which is widely used for estimating the state of non-linear systems. Estimating the parameter is very important in various fields, such as system control, modeling, analysis of performance, and prediction. Most of the dynamic systems which are dealt with in engineering have non-linearity as well as some noise. Therefore, the parameter estimation is difficult. This paper estimates the states and the parameters applying to the UKF, which is a non-linear filter and has strong noise. The augmented equation is used by including the addition of the parameter factors to the original state equation of the system. Moreover, it is simulated by applying to a 2-DOF(Degree of Freedom) dynamic system composed of the pendulum and the slide. The measurement noise of the dynamic equation is assumed to be a Gaussian distribution. As the simulation results show, the proposed parameter estimation performs better than the LSM(Least Square Method). Furthermore, the estimation errors and convergence time are within three percent and 0.1 second, respectively. Consequentially, the UKF is able to estimate the system states and the parameters for the system, despite having measurement data with noise.

• Journal of Industrial Convergence
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• v.18 no.4
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• pp.33-40
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• 2020

This study is a descriptive research study to understand the relationship between sedation, delirium, and fall of people with mental illness taking psychiatric drugs. From March10, 2019 to November 10, 2019, four psychiatric nurses were evaluated on 149 people with mental illness in two psychiatric hospitals located in D city. The collected data were analyzed using descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient using SPSS 22.0. Sedation and delirium(r=.587, p=<.001), sedation and fall(r=.273, p=.001), delirium and fall(r=.390, p=<.001)were all significant positive correlation. This study identified the degree of sedation, fall, and delirium of patients taking psychiatric drugs and confirmed the relationship between sedation, fall, and delirium of people with mental illness. It is thought that it will be able to provide basic data to prevent falls and delirium that may occur when taking psychiatric drugs and to prepare a nursing intervention strategy.

• Journal of Industrial Convergence
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• v.18 no.4
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• pp.15-21
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• 2020

Because there are no isolation valves in condensate system of nuclear power plants, circulating water pump was shutdown for the condenser repair. When circulating water pump was shutdown, power plant output decreased about 45%. These output decreasing can minimize by establishing isolation valves. In this paper, evaluated effect to flow conditions change of condensate system, structural integrity of system, condenser pressure of in case of establish isolation valves to condensate system. Results of the evaluation, the flow rate due to the installation of the isolation valve decreased 0.3% when the valve was fully opened and 4.5% when fully closed. In addition, it was found that the vacuum degree of the condenser decreased with decreasing flow rate, but the integrity of the system was maintained.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.347-359
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• 2013

The quality control of data is important element in data usage activations and decision makings. This paper is on how to extract the major critical data by each institution or organization selves. It proposes a social network analysis as a way to extract a table of high influence degree from a dynamic meta-data. The proposed CTQ data extraction method using SNA proved the fact that it is possible to extract highly accurate CTQ data by scientific measures of three-dimensional approach to real business situations without professional technicians. It is a new way that will change the goings on CTQ data management in IT sector and will improve the quality management level of an organization when applied to the real world.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.45-50
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• 2020

The purpose of this study is to analyze relationships among essential keywords in curriculum. The number of 1,935 keyword was collected from 644 manuscripts published between 2002 and 2019. For data analysis, this study selected softwares of KrKwic and KrTitle to compose a 1-mode network matrix and UCINET 6 and NetDraw to implement network analysis and visualization. Results are as follows. First, the frequency of keyword was curriculum, curriculum development, national curriculum, competency-based curriculum, 2015 revised national curriculum, curriculum implementation, understanding by design, competency, teacher education, school curriculum, and IBDP from highest to lowest. Second, degree centrality was curriculum development, curriculum, competency-based curriculum, national curriculum, 2015 revised national curriculum, understanding by design, competency, key competency, high school curriculum, textbook, curriculum implementation, teacher education, and IBDP from highest to lowest.

• Journal of Industrial Convergence
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• v.17 no.3
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• pp.31-38
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• 2019

This study examined the influence of nurse image, job value on the nursing professionalism of first year nursing students. Data were collected from May 7 to May 14, 2018 for 306 first year nursing students. The collected data were analyzed using SPSS 22.0. The average degree of nursing image at 4.12, job value score of 3.12, and nursing professionalism score of 3.98. Nursing professionalism was positively correlated with the nursing image(r=.823, p<.001) and job value(r=.492, p<.001). The significant variables explaining nursing image(${\beta}=.760$, p=.000) and job value(${\beta}=.134$, p=.000) These factors explained 69% of nursing professionalism. It is necessary to provide education that consider the nursing image, job value of nursing students to help them establish an acceptable view of nursing professionalism.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.53-61
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• 2019

This study was conducted to explore the effects of Moral Sensitivity(MS), Biomedical Ethics Awareness(BEA) on Attitudes toward Withdrawal of Life-Sustaining Treatment(AWLST) of nursing students. The data were collected from May 1, 2018 to May 20, 2018 for 302 nursing students. The collected data were analyzed using SPSS 22.0. The average degree of MS was 3.45, BEA was 3.69, and AWLST was 3.36. MS was positively correlated with BEA(r=.149, p=.010) and AWLST(r=.223, p<.001). BEA was negatively correlated with AWLST(r=-.129 p=.025). Models including MS(${\beta}=.2.47$, p<.001) and BEA(${\beta}=-.166$, p=.003) explained 7% of variance in the AWLST. It is necessary to provide education that consider the MS, BEA and AWLST level of nursing students to help them establish an acceptable view of AWLST.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.177-184
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• 2021

This paper proposes an assessment method using probability-based index for safe and successful underwater docking of autonomous underwater vehicles(AUVs) to the docking stations(DSs). The proposed method assesses the probability of docking according to the degree to which the state of the AUV is consistent with the state criteria for docking. The assessment is performed within a specific area considering the kinematic constraints and docking plans of the AUV. The assessment process is defining probability density function, calculating probabilities for reaching the docking station according to the difference to position and heading criteria, and computing the probability-based index in real-time. We verify the validity of the proposed method through analyzing the data acquired on operation test.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.99-105
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• 2020

In general, heat-based treatments are preferred to form the most natural and elastic curls. Therefore, this study measured the degree of hair damage, which has an influence on hair, in relation to the heat formation of the rods used during perms using a scanning electron microscope (SEM). To examine the influence of the heat formation rods on permanent waves, this study measured the temperature transmitted from such rods. Then, a treatment was given after cutting the hair according to the round shape. According to observation with a SEM, hair breakage was found in the portion in direct contact with the heat, and the broken surface was smooth. According to the study results, it is anticipated that there should be many studies on the rods used during perms in the consideration of their structure and importance using materials that have the property of even heat transmission.