• The Korean Journal of Coaching Psychology
• /
• v.7 no.1
• /
• pp.91-116
• /
• 2023

This study aims to investigate the differences in burnout, emotional labor strategies, affect intensity, and emotional clarity based on combinations of level of mindfulness and compassion. To achieve this, a total of 137 mental health professionals participated in this study, and they were classified into four groups based on their level of mindfulness and compassion using cluster analysis. Then, the differences among the groups were compared. The results of the multivariate analysis of covariance(MANCOVA) or multivariate analysis of variance(MANOVA) controlling for career experience, showed that the group with high levels of both mindfulness and compassion had the highest levels of positive affect intensity, emotional clarity for self and others, and genuine expression, while having the lowest levels of negative affect intensity, surface acting, and burnout. In comparison to the group with high levels of both mindfulness and compassion, the group with high or low level of either mindfulness or compassion had both positive and negative affect intensity at higher or lower levels. Additionally, they showed lower emotional clarity for self and others, and genuine expression. Conversely, they showed higher levels of surface acting and burnout. The group with low levels of both mindfulness and compassion experienced low levels of positive affect intensity and high levels of negative affect intensity. They also had the lowest levels of emotional clarity for self and others and genuine expression. In addition, they showed that the highest levels of surface acting, and burnout. Based on the results, the study discussed the balanced development of mindfulness and compassion to prevent burnout of professionals in the human service field, including mental health professionals. The implications and limitations of this study were further analyzed in the discussion section, including the direction for future research.

• Journal of the Korea Society for Simulation
• /
• v.32 no.3
• /
• pp.93-108
• /
• 2023

In manufacturing productivity analysis, understanding the intricate interplay among factors like facility performance, layout design, and workforce allocation within the production line is imperative. This paper introduces a simulation-based methodology tailored to food manufacturing, progressively expanding scenarios to analyze production enhancement. The target system is a food processing plant, encompassing production processes, including warehousing, processing, subdivision, packaging, inspection, loading, and storage. First, we analyze the target system and design a simulation model according to the actual layout arrangement of equipment and workers. Then, we validate the developed model reflecting the real data obtained from the target system, such as the workers' working time and the equipment's processing time. The proposed model aims to identify optimal factor values for productivity gains through incremental scenario comparisons. To this end, three stages of simulation experiments were conducted by extending the equipment and worker models of the subdivision and packaging processes. The simulation experiments have shown that productivity depends on the placement of skilled workers and the performance of the packaging machine. The proposed method in this study will offer combinations of factors for the specific production requirements and support optimal decision-making in the real-world field.

• Journal of Bio-Environment Control
• /
• v.32 no.2
• /
• pp.139-147
• /
• 2023

This study aims to select eggplant cultivars adaptive to the hot temperature period greenhouse climate by water consumption, and growth performance of plants and fruits of different European eggplant cultivars, including 'Bartok (BA)', 'Bowie (BO)', 'Black Pearl (BP)', 'Ishbilia (I)', 'Mabel (M)', 'Vestale (VE)' and 'Velia (VL)', in substrate hydroponic cultivation under hot and humid greenhouse conditions. On the 118 DAT, the leaf number and stem dry weight were highest in 'VL', followed by 'M', and there was no significant difference in leaf dry weight among cultivars. The marketable fruit number per plant was 16.4 for 'M', which was higher than other cultivars, and 'VE' and 'VL' were 8.5 and 8.8, respectively. The weight per fruit was low for 'M' at 136 g, and the highest in 'VE' and 'VL' at 332 and 281 g, respectively. There was no significant difference in fruit production per plant. In this study, 'M', which has high water use efficiency and a large number of fruits, and 'VL', which required less quantity to water consumption for producing 200 g of fruit and had a high product weight, will have excellent adaptability in the UAE greenhouse condition.

• Journal of the Korea Convergence Society
• /
• v.13 no.1
• /
• pp.89-99
• /
• 2022

Due to COVID-19, non-face-to-face cultures such as remote classes, remote work, and tele-medicine are spreading. The major contributors to the settlement of such a non-face-to-face society are small and medium SW companies and SW manpower. However, recently as large platform companies and foreign big tech companies hire thousands of SW manpower, SW small and medium-sized companies are experiencing a serious manpower shortage. Therefore, the purpose of this study is to suggest policy alternatives for SMEs to stably secure SW manpower and support continuous business operation. To achieve this purpose, this study examines the current status of the SW industry and manpower, then summarizes related issues and suggests policy alternatives to solve these issues. Those policies include the reinforcement of incentives to support manpower retention such as the Naeil Chaeum deduction system, youth housing union composition, special military service system, recruitment of manpower through the contract semester system of employment conditions, reinforcement of customized education through supplementation of the SW manpower training voucher system, SW field skill standardization, establishment of a governance system for nurturing SW manpower, preparation of countermeasures against the outflow of manpower to large companies, and a win-win cooperation program for large and SME SW manpower.

• Journal of Practical Agriculture & Fisheries Research
• /
• v.20 no.2
• /
• pp.13-29
• /
• 2018

Currently, rural labor markets are undergoing a structural change in which the proportion of non-agricultural industries is increasing, instead of decreasing the proportion of agriculture. The purpose of this study is to propose policy for job creation in rural areas through analyzing the employment situation in Rural Korea in the context of this structural change. Using the Census of Agriculture, Farm Household Economy Survey, we analyzed the increase of low income farmers and self-employed farmers. We analyzed the changes of non-farm employment in rural areas using the Census on Establishment. The main results of the study are as follows. First, farms' pathways are very diverse by the levels of income from their own farming and other gainful activities. It is necessary to implement policies that take into account the development pathways of farm household. Second, most of the farms are in low-income and self-employment status. In order to increase their incomes, it is necessary to increase non-farm income earning policy. The rural non-farm economy is becoming increasingly important in rural Korea. The growth of the non-farm economy will be crucially important when it comes to creating new jobs in rural areas in rural Korea. Third, it is necessary to provide systematic support for rural entrepreneurship as a core policy for expanding jobs beyond agriculture. Rural entrepreneurship has the potential to drive innovations that can reduce poverty and create employment. Fourth, there is a need for measures to increase jobs in the welfare field, which is growing fastest in recent years. In the welfare field, we can find vigorous collective actions in some rural communities such as community business, cooperative movement and various community development activities. Those activities will help increase the employment of aged farmers and low-income farm household.

• Korean Journal of Remote Sensing
• /
• v.39 no.3
• /
• pp.269-282
• /
• 2023

The purpose of this study was to construct land cover maps using a deep learning model and to select the optimal deep learning model for land cover classification by adjusting the dataset such as input image size and Stride application. Two types of deep learning models, the U-net model and the DeeplabV3+ model with an Encoder-Decoder network, were utilized. Also, the combination of the two deep learning models, which is an Ensemble model, was used in this study. The dataset utilized RapidEye satellite images as input images and the label images used Raster images based on the six categories of the land use of Intergovernmental Panel on Climate Change as true value. This study focused on the problem of the quality improvement of the dataset to enhance the accuracy of deep learning model and constructed twelve land cover maps using the combination of three deep learning models (U-net, DeeplabV3+, and Ensemble), two input image sizes (64 × 64 pixel and 256 × 256 pixel), and two Stride application rates (50% and 100%). The evaluation of the accuracy of the label images and the deep learning-based land cover maps showed that the U-net and DeeplabV3+ models had high accuracy, with overall accuracy values of approximately 87.9% and 89.8%, and kappa coefficients of over 72%. In addition, applying the Ensemble and Stride to the deep learning models resulted in a maximum increase of approximately 3% in accuracy and an improvement in the issue of boundary inconsistency, which is a problem associated with Semantic Segmentation based deep learning models.

• Korean Journal of Construction Engineering and Management
• /
• v.24 no.6
• /
• pp.74-80
• /
• 2023

This study examines the characteristics of architectural review opinions as unstructured data, focusing on the most challenging risk for developers of small and medium-sized apartment projects in response to the increasing number of single-person households in Korea. Using multidimensional analysis methods, the study analyzes the review opinions of 25 projects in B City. Correspondence analysis and MDS (Multidimensional Scale) analysis show that, consistent with prior research, the keywords related to 'structure' and 'planning' dominate architectural review opinions in B City. While the MDS model's stress is very poor at 34.4%, correspondence analysis reveals that this is due to the characteristics of unstructured data in architectural reviews. In addition, the non-structured data analyzed in this study, such as architectural review opinions, exhibited a probability distribution with low kurtosis and high skewness, as they involved various combinations and occurrences of data depending on the discretion of the review committee members and the specific formats of different local governments. This often led to the emergence of keywords that differed significantly from commonly mentioned terms. Although the study has some limitations, it provides a foundation for future detailed analysis by identifying the characteristics of architectural review opinions as unstructured data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.1
• /
• pp.237-251
• /
• 2023

This study tried to understand the effect of internal resources, capabilities, and business model innovation of venture enterprises on industrial property performance, as based on previous studies that securing industrial property rights has a positive effect on the technology commercialization of venture companies. Venture company capabilities were classified into intrinsic elements of a company (company's research resources) and creative elements (commercialization capabilities) that implement them, and they were intended to show that they could lead to a company's potential competitiveness through innovation in business models. In order to verify this research purpose, an empirical analysis was conducted on 1,733 corporate companies among venture confirmation companies subject to the 2019 venture company precision survey. It was confirmed that the systematic research organization and commercialization capabilities of venture companies were significant (+) in industrial property performance. However, in the final research model that applied both the rules of the business model's innovation variable, commercialization capability and business model innovation were significant (-), and research organization × business model innovation showed significant results (+). This means that venture companies' excellent resources and capabilities can have a positive impact on industrial property performance individually, but when applying the level of innovation in the actual business model, they must interact with the business model. The results of this study are meaningful in that it is necessary to pursue business model innovation that secures clear differentiators compared to competitors as well as strengthening the company's internal resources and capabilities to secure industrial assets and innovation growth.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.4
• /
• pp.199-207
• /
• 2024

Local reservoirs are crucial sources for agricultural water supply, necessitating stable water level management to prepare for extreme climate conditions such as droughts. Water level prediction is significantly influenced by local climate characteristics, such as localized rainfall, as well as seasonal factors including cropping times, making it essential to understand the correlation between input and output data as much as selecting an appropriate prediction model. In this study, extensive multivariate data from over 400 reservoirs in Jeollabuk-do from 1991 to 2022 was utilized to train and validate a water level prediction model that comprehensively reflects the complex hydrological and climatological environmental factors of each reservoir, and to analyze the impact of each input feature on the prediction performance of water levels. Instead of focusing on improvements in water level performance through neural network structures, the study adopts a basic Feedforward Neural Network composed of fully connected layers, batch normalization, dropout, and activation functions, focusing on the correlation between multivariate input data and prediction performance. Additionally, most existing studies only present short-term prediction performance on a daily basis, which is not suitable for practical environments that require medium to long-term predictions, such as 10 days or a month. Therefore, this study measured the water level prediction performance up to one month ahead through a recursive method that uses daily prediction values as the next input. The experiment identified performance changes according to the prediction period and analyzed the impact of each input feature on the overall performance based on an Ablation study.

• Management & Information Systems Review
• /
• v.34 no.2
• /
• pp.131-149
• /
• 2015

Recently many organizations have engaged in widespread restructuring as well as more flexible usage of labor in an attempt to cut costs and to increase profit. As a result of lays offs resulting from frequent restructuring, many people no longer consider their jobs as permanent positions. many employees have an increased feeling of job insecurity. There structuring and following downsizing have created an uncertain environment within creased fear offer ther job losses. therefore the study of job insecurity is significant. especially To understand the relationship between job security and union-relation behaviors on the industrial relations. The purpose of this study suggested the strategies to company and union. The purpose of this study is to examine how the union-relation behaviors are influenced by the job security. This study built a exploratory model that there is causal relationship of job security to union commitment, dual commitment, and labor related behaviors. For the verification of this study model, the regression analysis was applied to the surveys of 236 members of union that are located in Busan, Gyeongnam, Ulsan, and Pohang. The result of this research shows that the job insecurity is strongly related to the union commitment and union related behaviors. According to the research, the effect that the job security affects union commitment and union related behaviors are positive. With the research outputs, we have discussed about the academic and pragmatic viewpoint. We proposed comprehensive model to verify how the job insecurity affects the union-related behaviors, and objectively analyzed the model. The research result was opposite to what the existing theories have said that high job insecurity derives high union-related behaviors. This result is meaningful because it is concerned with the social issues-present situation of Korean company, low-employment, unstable employment and so on. Moreover, this research may contribute to expand the aspect of academic research on job insecurity as there are few research conducted in korea. This research also suggests the realistic alternative of union-related behaviors because it is proved that job security can contribute to innovation activities. Also, this research implies that the matter of job insecurity is the basic need of organizational individual and presents that job security is not a notion but the alternative by using of the positional stability and situational control power. The limitation of this research is that it is only utilized the cross-sectional study. To remedy the cross-sectional study, vertical, and serial method of research is needed. And there is no enough sample to secure more comprehensive data as the targets of the research is limited to Busan and Gyeongnam regions. Finally, the measurement tool for job security is needed to be suitably modified to by the South Korea's economic, linguistic, and cultural situation.