• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.113-127
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• 2021

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.

• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2599-2605
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• 2022

The Korea Retrospective Dosimetry network (KREDOS) performed an inter-laboratory comparison to confirm the harmonization and reliability of the results of retrospective dosimetry using mobile phone. The mobile phones were exposed to ¹⁹²Ir while attached to the human phantoms in the field experiment, and the exposure doses read by each laboratory were compared. This paper describes the reference dosimetry performed to present the reference values for inter-comparison and to obtain additional information about the dose distribution. Reference dosimetry included both measurement using LiF:Mg,Cu,Si and calculation via MCNP simulation to allow a comparison of doses obtained with the two different methodologies. When irradiating the phones, LiF elements were attached to the phones and phantoms and irradiated at the same time. The comparison results for the front of the phantoms were in good agreement, with an average relative difference of about 10%, while an average of about 16% relative difference occurred for the back and side of the phantom. The differences were attributed to the different characteristics of the physical and simulated phantoms, such as anatomical structure and constituent materials. Nevertheless, there was about 4% of under-estimation compared to measurements in the overall linear fitting, indicating the calculations were well matched to the measurements.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.23-33
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• 2022

The horizontal-to-vertical spectral ratio (HVSR) of ambient noise is widely used to identify the resonant frequency of a site. The frequency at the largest HVSR is regarded as the resonant frequency. The source of ambient noise is impossible to identify and control. Therefore, obtaining reliable HVSR of ambient noise requires sufficient measurement time and absence of near-field vibration. In this study, we investigated the minimum stabilization time required for a portable seismometer and the effect of the distance between the seismometer and artificial vibration on HVSR estimation. In the case of a soil site, the HVSR was stabilized after 5 minutes after sensor installation. In the case of a rock site, stabilization required more than an hour. Human-footsteps within 10 m of the seismometer strongly influenced the HVSR for the soil site. These results provide a field guideline when measuring ambient noise for HVSR.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.390-398
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• 2022

Ultrasound examination using ultrasound equipment is an ultrasound device that images human organs using sound waves and is used in various areas such as diagnosis, follow-up, and treatment of diseases. However, if the quality of ultrasound equipment is not guaranteed, the possibility of misdiagnosis increases, and the diagnosis rate decreases. Accordingly, The Korean Society of Radiology and Korea society of Ultrasound in Medicine presented guidelines for quality management of ultrasound equipment using ATS-539 phantom. The DenseNet201 classification algorithm shows 99.25% accuracy and 5.17% loss in the Dead Zone, 97.52% loss in Axial/Lateral Resolution, 96.98% accuracy and 20.64% loss in Sensitivity, 93.44% accuracy and 22.07% loss in the Gray scale and Dynamic Range. As a result, it is the best and is judged to be an algorithm that can be used for quantitative evaluation. Through this study, it can be seen that if quantitative evaluation using artificial intelligence is conducted in the qualitative evaluation item of ultrasonic equipment, the reliability of ultrasonic equipment can be increased with high accuracy.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.94-107
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• 2022

Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

• Journal of Korea Trade
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• v.25 no.6
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• pp.105-125
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• 2021

Purpose - This study analyzes the effects that the response to the technical barriers to trade (TBT), which are used by various countries as means to restrict imports, exerts on exports at a time when protectionism is emerging in the face of a global economic downturn. TBT has been widely used in developed countries for the safety and protection of their people. Recently, the use of TBT as a tool of protectionism has increased considerably in developing countries as well. Therefore, this study analyzes the South Korean SMEs' response and export performance. Design/methodology - To analyze SMEs' response to TBT and their export performance, this study conducted empirical analysis through statistical analysis. To this end, the research established a theory based on previous research and designed its hypothesis and research model. To verify the hypothesis and research model, factor analysis addressing validity and reliability was performed using SPSS 25 and AMOS 26, and the structural equation model was analyzed. Findings - This study found the causal relationship between the independent variable, the mediating variable, and the dependent variable adopted against the theoretical background to have little or no effect, in contrast with previous studies. In a break from previous studies, all hypotheses were rejected for innovation strategic competencies, one of the sub-factors of the independent variable, which is believed to be a result of the lack of practical research related to TBT. Originality/value - Previous studies performed analysis using trade statistics or macro data. A number of such studies analyzed the relationship between technical regulation and trade volume. This study differs from previous studies in some respects, because it analyzed the export performance of companies by establishing a hypothesis and implementing a research model with the factors analyzed in previous studies. In addition, a new attempt has been made by classifying the TBT response factors into technology competencies, human resource competencies, and innovation strategic competencies, and utilizing technology innovation and the export support system as mediating effects.

• Journal of People, Plants, and Environment
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• v.23 no.4
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• pp.475-484
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• 2020

Background and objective: Horticultural activity is one of the most basic elements of horticultural therapy, which brings about therapeutic effects for participants through various plant-related activities. The main objective of this study was to verify the results of previous research, which suggested six types of activities from the exploratory factor analysis. Methods: To meet the purpose of this study, a questionnaire was designed to determine the preferences for 6 types of the horticultural therapy activities. The survey was conducted on 703 people from March 7 to June 20, 2019. The data of 674 cases were used into the final analysis, excluding unreliable responses. Descriptive statistics, and reliability analysis were performed using IBM SPSS Statistics 25, and confirmatory factor analysis was performed using IBM SPSS Amos 21. Results: First, horticultural therapy activities were classified into 6 types from the exploratory factor analysis, as conducted in previous research. The confirmatory factor analysis provided that the fit of the final model was satisfactory with χ² = 1,300.590 (p < .001), RMR = .045, GFI = .876, RMSEA = .062, NFI = .914, TLI = .905, CFI = .914. Conclusion: This result revalidated that the mode with 6 types of horticultural therapy activities from previous research is appropriate criteria for the classification of horticultural activities. The model could be used to design more systematic horticultural therapy programs that meet the needs or circumstances of the subject, or that are suitable for necessary therapeutic intervention methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.133-138
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• 2022

Digital radiation inspection equipment is a medical device that deals with human life and requires stability and high reliability. However, this system is currently the most advanced technology and the domestic market is almost occupied by European products including Japan. Therefore, research and development are needed not only to replace domestic medical devices, which are largely dependent on expensive imported products, but also to develop more economical and user-oriented products that are easy to operate and produce devices that lead to accurate diagnosis. In particular, among the digital X-ray systems, the motor driving technology and the mechatronics technology related to the development of mechanical devices have matured to some extent in Korea. In this paper, selection of AC servomotor for digital radiation inspection suitable for imaging purpose, and application of conversion device and control method to check performance and improve problems.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.415-424
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• 2021

The purpose of the current study is to to examine the psychometric properties of the Subjective Agingwell Scale (SAS). Three hundred and forty two elders completed the SAS and the scales assessing subjective well-being, optimism, perceived control and adhering to healthy behavior. The 11-item SAS that displays good internal reliability and good fit to the three-factor model consisting of cognitive satisfaction, positive affect, and spiritual fullness. Correlational analyses with measures of subjective agingwell, subjective well-being, and optimism provide evidence for construct validity. Moreover, the results from hierarchical regression analyses show criterion-related validity of the SAS. This scale could be used in the field to measure and promote subjective agingwell.

• Korean Journal of Community Nutrition
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• v.27 no.6
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• pp.480-491
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• 2022

Objectives: This study examined the problems encountered when analyzing the market size, purchase, and consumption of HMR (home meal replacements) in the Republic of Korea. Methods: The macro data relevant to the market size and purchase status of HMR were critically summarized. The micro data retrieved from the 2019 & 2020 Korea National Health and Nutrition Examination Survey (KNHANES) were analyzed to understand the consumption of HMR. Results: The Korea Agro-Fisheries & Food Trade Corporation and the Ministry of Food and Drug Administration reported the market size of HMR, whereas the Korean Rural Economic Institute and the Rural Development Administration reported the purchase expense and frequencies of HMR. Since the values on the market size and purchase status were calculated or surveyed using different scopes of HMR, there have been reliability issues for the data presented. Additionally, lack of consensus on the use of Korean terms corresponding to HMR was found to be a problem. To examine the consumption of HMR, analysis of the food intake data from KNHANES presented results with very low validity due to the inappropriate survey and coding scheme not reflecting the inclusion of new food types. Conclusions: Several problematic discrepancies were encountered in the statistics on HMR. The fundamental cause of these problems was the absence of agreement on the scope of HMR and the Korean terms corresponding to it. Considering the increasing importance of HMR in Korean diets, urgent cooperative efforts are required between the government and academia to derive an agreed Korean term and establish the scope of HMR.