• 한국노년학
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• v.30 no.3
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• pp.779-791
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• 2010

This study was to examine the differential impacts of social experiences and conditions on health among men and women aged 65 years or older, using data of the "2004 Survey on living Status of the Korean Elderly". The outcome variables were any disability, self-rated health, multiple morbidity, and self-rated quality of life. Multiple Classification Analysis was used to test the differential exposure to social factors contributes to gender difference in health. Gender differences in vulnerability of each individual socioeconomic, psycho-social, and behavioral factors for health were assessed by comparing logit coefficients in men and women. I found that gender difference in exposure to social factors contribute to inequalities in health between older men and women, however, gender inequalities remained after controlling for differential exposure except in case of quality of life. In addition, gender differences in health were further explained by differential vulnerabilities to social factors between men and women. Findings of this study may affirm the importance of further and deeper investigation of gender differences in health in later life. Gender sensitive approach in health planning and polices for the elderly is also suggested.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.149-158
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• 2022

For this study, a total of 297 TV advertisements and digital video advertisements were selected as analysis targets among domestic corporate advertisements executed for two years from 2020 to 2021. As a result of the content analysis, it was found that CSR public service advertisements, CSV advertisements, and ESG advertisements in 2020, when the corona pandemic began in earnest and ESG of companies emerged as a business management topic, showed a markedly higher execution frequency than in 2021. As a result of examining the distribution of corporate advertisement types by media, it was found that companies were executing various corporate advertisements through digital media rather than traditional media such as TV. As a result of examining the advertising appeal strategies according to the types of corporate advertisements, it was found that the emotional appeal strategy was most frequently used among the rational appeal, emotional appeal, and mixed appeal as a whole in corporate advertising. As a result of analyzing the advertisement model types according to the classification of corporate advertisements, it was found that corporate advertisements use a general model differently from brand advertisements. Lastly, as a result of examining the distribution of advertisement model types according to media types, it was found that the celebrity model is more frequently used in TV advertisements for digital advertisements.

• Ecology and Resilient Infrastructure
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• v.10 no.4
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• pp.107-115
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• 2023

High turbidity in source water can have adverse effects on water treatment plant operations and aquatic ecosystems, necessitating turbidity management. Consequently, research aimed at predicting river turbidity continues. This study developed a multi-class classification model for prediction of turbidity using LightGBM (Light Gradient Boosting Machine), a representative ensemble machine learning algorithm. The model utilized data that was classified into four classes ranging from 1 to 4 based on turbidity, from low to high. The number of input data points used for analysis varied among classes, with 945, 763, 95, and 25 data points for classes 1 to 4, respectively. The developed model exhibited precisions of 0.85, 0.71, 0.26, and 0.30, as well as recalls of 0.82, 0.76, 0.19, and 0.60 for classes 1 to 4, respectively. The model tended to perform less effectively in the minority classes due to the limited data available for these classes. To address data imbalance, the SMOTE (Synthetic Minority Over-sampling Technique) algorithm was applied, resulting in improved model performance. For classes 1 to 4, the Precision and Recall of the improved model were 0.88, 0.71, 0.26, 0.25 and 0.79, 0.76, 0.38, 0.60, respectively. This demonstrated that alleviating data imbalance led to a significant enhancement in Recall of the model. Furthermore, to analyze the impact of differences in input data composition addressing the input data imbalance, input data was constructed with various ratios for each class, and the model performances were compared. The results indicate that an appropriate composition ratio for model input data improves the performance of the machine learning model.

• Resources Recycling
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• v.32 no.6
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• pp.54-66
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• 2023

Titanium's importance as a mineral resource is increasing, but the Korean industry depends on imports. Ilmenite is the principal titanium ore. However, research and development from raw materials have not been investigated yet in detail. Hence, measures to secure a stable titanium supply chain are urgently needed. Accordingly, through beneficiation technology, we evaluated the possibility of technological application for the efficient recovery of valuable minerals. As a result of the experiments, we confirmed that mineral particles existed as fine particles due to weathering, making recovery through classification difficult. Consequently, applying beneficiation technologies, i.e., specific gravity separation, magnetic separation, and flotation, makes it possible to recover valuable minerals such as hematite and rutile. However, there are limitations in increasing the quality and yield of TiO₂ due to the mineralogical characteristic of the hematite and rutile contained in titanium ore. Hametite is combined with rutile even at fine particles. Therefore, it is essential to develop mineral processing routes, to recover iron, vanadium, and rare earth elements as resources. On that account, we used grinding technology that improves group separation between constituent minerals and magnetic separation technology that utilizes the difference in magnetic sensitivity between fine mineral particles. The development of beneficiation technology that can secure the economic feasibility of valuable materials after reforming iron oxide and titanium oxide components is necessary.

• Journal of Marine Life Science
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• v.8 no.2
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• pp.128-135
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• 2023

The present study was tried to identify whether the eel's larva was close to a conger (Conger myriaster), a pipe conger (Muraenesox cinereus) or four species of Anguilla. Experimental fishes were collected by set net in the gulf of enggang, Namhae, Korea from May to June. Their morphological characteristics were compared with adult fishes of a conger, a pipe conger and four species of Anguilla. For genetic classification, DNA was isolated and amplified by using 12S rRNA and 16S rRNA primer set. The PCR products were direct sequencing in both directions. The nucleotide sequences were analyzed using softwares. As results of morphological measurement on eel's larva, the percentages of head length and preanal length against total length were similar with a conger. Based on the nucleotide sequences, the phylogenetic tree also revealed a close relationship to a conger. Therefore, eel's larva, caught in Namhae from May to June, was identified into a conger's larva.

• Industry Promotion Research
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• v.8 no.4
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• pp.187-200
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• 2023

The purpose of this paper is to correspond to four-elements in astrology theory, an intellectual from ancient times, that show personality temperament among MBTI, a representative personality type test in modern times, furthermore, by examining 16 personality type cards in tarot, a play culture and fortune telling culture in which the four-element theory is integrated in symbols, it is a comparative consideration that connects the characteristics of the character types contained in them to the 16 personality types of MBTI. The four preferred types of MBTI are Extravesion(E) and Introversion(I), Sensing(S) and Intuition(N), Thinking(T) and Feeling(F), Judgment(J) and Perception(P). Among them, Western four-elements were able to respond to Fire, Water, Air, and Earth in the order of NF(iNtuitive Feeling Type), SF(Sensory Feeling Type), NT(iNtuitive Thinking Type), and ST(Sensory Thinking Type). This is a result that can be derived by comparing individual personality theory and MBTI temperament theory among the symbols contained in ancient astrological theories. And the classification of boys, knights, queens, and kings in the four classes of person cards could be divided according to the MBTI attitude index. The boy showed an adaptive introvert using I and P, the knight showed an adaptive extrovert using E and P, the queen showed a decisive introvert using I and J, and the king showed an adaptive extrovert using E and J.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.127-134
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• 2024

The article highlights the problems of the digitalization of the educational process, which affect the pedagogical cluster and are of a psychological nature. The authors investigate the transformational changes in education in general and the individual beliefs of each subject of the educational process, caused by both the change in the format of learning (distance, mixed), and the use of new technologies (digital, communication). The purpose of the article is to identify the strategic trend of the educational process, which is a synergistic combination of pedagogical methodology and psychological practice and avoiding dialectical opposition of these components of the educational space. At the same time, it should be noted that the introduction of digital technologies in the educational process allows for short-term difficulties, which is a usual phenomenon for innovations in the educational sphere. Consequently, there is a need to differentiate the fundamental problems and temporary shortcomings that are inherent in the new format of learning (pedagogical features). Based on the awareness of this classification, it is necessary to develop psychological techniques that will prevent a negative reaction to the new models of learning and contribute to a painless moral and spiritual adaptation to the realities of the present (psychological characteristics). The methods used in the study are divided into two main groups: general-scientific, which investigates the pedagogical component (synergetic, analysis, structural and typological methods), and general-scientific, which are characterized by psychological direction (dialectics, observation, and comparative analysis). With the help of methods disclosed psychological and pedagogical features of the process of digitalization of education in a mixed learning environment. The result of the study is to develop and carry out methodological constants that will contribute to the synergy for the new pedagogical components (digital technology) and the psychological disposition to their proper use (awareness of the effectiveness of new technologies). So, the digitalization of education has demonstrated its relevance and effectiveness in the pedagogical dimension in the organization of blended and distance learning under the constraints of the COVID-19 pandemic. The task of the psychological cluster is to substantiate the positive aspects of the digitalization of the educational process.

• Information Systems Review
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• v.22 no.4
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• pp.185-203
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• 2020

With the advent of 4th industrial revolution, the manufacturing industry is converging with ICT and changing into the era of smart manufacturing. In the smart factory, all machines and facilities are connected based on ICT, and thus security should be further strengthened as it is exposed to complex security threats that were not previously recognized. To reduce the risk of security incidents and successfully implement smart factories, it is necessary to identify key security factors to be applied, taking into account the characteristics of the industrial environment of smart factories utilizing ICT. In this study, we propose a 'hierarchical classification model of security factors in smart factory' that includes terminal, network, platform/service categories and analyze the importance of security factors to be applied when developing smart factories. We conducted an assessment of importance of security factors to the groups of smart factories and security experts. In this study, the relative importance of security factors of smart factory was derived by using AHP technique, and the priority among the security factors is presented. Based on the results of this research, it contributes to building the smart factory more securely and establishing information security required in the era of smart manufacturing.

• Journal of Cadastre & Land InformatiX
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• v.54 no.1
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• pp.33-48
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• 2024

This study aims to establish the scope and statistics of the K-address information industry in Korea, estimating its size and prospects and estimates the economic effects through K-address information industry based on Input-Output analysis. Considering the characteristics and sectoral structure of the K-address information industry, the study delineates the scope and specific sectors, constructing sectoral statistics linked to the KSIC and the Bank of Korea's industrial classification. The study estimates the sectoral industry size, taking into account potential markets. Furthermore, it analyzes the economic impact of each sector within the K-address information industry. To figure out the economic effects, the study conducts Input-Output analysis by setting the K-address information industry as an exogenous sector in the input-output table. The results indicate that the overall size of the K-address information industry is estimated to grow from 406.1 billion KRW in 2021 to 3.65 trillion KRW in 2030. The economic effects of the K-address information industry vary by sector, emphasizing the importance of synergies and integration with related sectors, particularly those with significant inducement effects in high value-added manufacturing and service sectors. Furthermore, the industry's sensitivity to economic fluctuations is evident through the input-output analysis of inter-industry chain effects.

• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.1
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• pp.75-88
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• 2024

Objectives: This study aimed to identify the current use of Korean medicine for obesity and its effect for women in climacteric period. Methods: We studied women aged 45-55 who visited Daejeon Korean medicine Hospital of Daejeon University to lose body weight from January 1, 2021 to December 31, 2022 via an analysis of the medical records. The treatment duration was continuous for more than 2 weeks, and a body composition was measured by Inbody 770 at 2 to 4 weeks after the first visit. Results: 28 patients were finally selected and their average age was 49.32±3.38 years. Based on the body mass index (BMI) classification, 19 were in the 1st obesity group, 5 in the 2nd obesity group, 3 in the overweight group and 1 in the normal group. Patients usually complained comcomitant symptoms, and the symptoms of menopausal disorder was the most frequent. The average treatment duration was 3.68±0.67 weeks and the average treatment frequency was 3.93±0.98 times. All patients took herbal medicines Gambi-tang and 23 took modified fasting therapy including Gamro-su. 14 were treated by whole body far-infrared therapy and 6 were gotten partial obesity treatment. Among patients treated for accompanying symptoms, menopausal disorders were the most common (35.71%), and herbal medicine such as Gamisoyou-san, Hominis Placenta Pharmacopuncture, moxibustion, and cupping were used. After treatment, on average, body composition changed significantly; body weight 3.28±1.82 kg, BMI 1.36±1.04 kg/m², body fat 1.70±1.67 kg, skeletal muscle mass 0.81±0.91 kg, abdominal circumference 2.04±2.6 cm, and visceral fat area 8.91±12.83 cm². Conclusions: We analyzed general characteristics, BMI distribution, types of Korean medicine treatment and change of body composition. This study could be used as reference to provide practical data of treatment for obese women in climacteric period.