• Korean Journal of Social Welfare Studies
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• v.41 no.2
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• pp.309-334
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• 2010

This study explores gender mechanism of welfare politics in Korea from the perspective of welfare status theory. In the simplistic analysis, it is found that there is no gender difference in welfare attitudes. In the more sophisticated analysis of welfare-status-beased SEM, however, it is found that Korean welfare politics is to be understood in terms of gender-related politics. Three major findings of this study are as follows. Firstly, Korean women possess less pro-welfare attitudes in terms of the status of welfare beneficiary. This is due to the visible gender segregation in the Korean labor market on the one hand and due to the centrality of social insurance programs in the structure of Korean public welfare system on the other hand. Secondly, Korean women have relatively higher level of pro-welfare attitude when it comes to the status of welfare service provider. Thirdly, Korean women tend to be more supportive to pro-welfare parties as they have less chance to be a higher taxpayer. Based on the above mentioned findings, this study concludes that it is possible to make Korean women be more pro-welfare if the Korean welfare state expands more social services that tend to meet urgent needs of women.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.1-31
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• 2023

This study conducted user experience evaluation by introducing various text mining techniques along with topic modeling techniques for mobile menstrual cycle measurement applications that are closely related to women's health and analyzed the results by combining them with a honeycomb model. To evaluate the user experience revealed in the menstrual cycle measurement application review, 47,117 Korean reviews of the menstrual cycle measurement application were collected. Topic modeling analysis was conducted to confirm the overall discourse on the user experience revealed in the review, and text network analysis was conducted to confirm the specific experience of each topic. In addition, sentimental analysis was conducted to understand the emotional experience of users. Based on this, the development strategy of the menstrual cycle measurement application was presented in terms of accuracy, design, monitoring, data management, and user management. As a result of the study, it was confirmed that the accuracy and monitoring function of the menstrual cycle measurement of the application should be improved, and it was observed that various design attempts were required. In addition, the necessity of supplementing personal information and the user's biometric data management method was also confirmed. By exploring the user experience (UX) of the menstrual cycle measurement application in-depth, this study revealed various factors experienced by users and suggested practical improvements to provide a better experience. It is also significant in that it presents a methodology by combines topic modeling and text network analysis techniques so that researchers can closely grasp vast amounts of review data in the process of evaluating user experiences.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.843-856
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• 2023

The global surge in maritime traffic has resulted in an increased number of ship collisions, leading to significant economic, environmental, physical, and human damage. The causes of these maritime accidents are multifaceted, often arising from a combination of crew judgment errors, negligence, complexity of navigation routes, weather conditions, and technical deficiencies in the vessels. Given the intricate nuances and contextual information inherent in each incident, a methodology capable of deeply understanding the semantics and context of sentences is imperative. Accordingly, this study utilized the SentenceBERT model to analyze maritime safety tribunal decisions over the last 20 years in the Busan Sea area, which encapsulated data on ship collision incidents. The analysis revealed important keywords potentially responsible for these incidents. Cluster analysis based on the frequency of specific keyword appearances was conducted and visualized. This information can serve as foundational data for the preemptive identification of accident causes and the development of strategies for collision prevention and response.

• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1693-1705
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• 2023

Rural areas, which account for about 90% of the country's land area, are increasing in importance and value as a space that performs various public functions. However, facilities that adversely affect residents' lives, such as livestock facilities, factories, and solar panels, are being built indiscriminately near residential areas, damaging the rural environment and landscape and lowering the quality of residents' lives. In order to prevent disorderly development in rural areas and manage rural space in a planned manner, detection and monitoring of hazardous facilities in rural areas is necessary. Data can be acquired through satellite imagery, which can be acquired periodically and provide information on the entire region. Effective detection is possible by utilizing image-based deep learning techniques using convolutional neural networks. Therefore, U-Net model, which shows high performance in semantic segmentation, was used to classify potentially hazardous facilities in rural areas. In this study, KOMPSAT ortho-mosaic optical imagery provided by the Korea Aerospace Research Institute in 2020 with a spatial resolution of 0.7 meters was used, and AI training data for livestock facilities, factories, and solar panels were produced by hand for training and inference. After training with U-Net, pixel accuracy of 0.9739 and mean Intersection over Union (mIoU) of 0.7025 were achieved. The results of this study can be used for monitoring hazardous facilities in rural areas and are expected to be used as basis for rural planning.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.6
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• pp.653-658
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• 2023

In systems like the combat management system of a naval ship or smart city of civilians, where many sensors and actuators are connected, the middle-ware DDS (Data Distribution Service) is mainly used to transmit large amounts of data. It is scalable and can effectively respond to the increase in sensors or equipment connected to the system in the future. The engineering control system (ECS), which plays an important role similar to the combat management system of a naval ship, still uses Server-Client model with industrial protocols such as Modbus and CAN (Controller Area Network) bus, to transmit data, which is unfavorable in terms of scalability. However, as automation and unmanned systems advance, more sensors and actuators are expected to be added, necessitating substantial program modification. DDS can effectively address such situations. The purpose of this study is to confirm the development possibility of an integrated monitoring and control system of a ship by using OpenDDS, which follows the OMG (Object Management Group) standard among the middle-ware DDS used in the combat management system. To achieve this goal, field equipment simulators and an ECS server were configured to perform field equipment data input/output and simulation using DDS was performed. The ECS prototype successfully handled data transmission, confirming that DDS is capable of serving as the middle-ware for the ECS of a ship.

• Research in Plant Disease
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• v.29 no.4
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• pp.363-376
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• 2023

Alternaria black spots or blights in cruciferous crops have been devastating diseases worldwide and led to economic losses in broccoli, Chinese cabbage, kale, radish, rapeseed, etc. These diseases are caused by different Alternaria spp., including A. brassicae, A. brassicicola and A. raphani transmitted from infected seeds or insect vectors. Efforts to excavate disease resistance traits of cruciferous crops against Alternaria black spots or blights have been demonstrated. Genetic resource of disease resistance was investigated in the wild relatives of cruciferous crops, and different cultivars were screened under different inoculation conditions. Development of the disease-resistant lines against Alternaria black spots or blights was also tried via genetic transformation of the cruciferous crops using diverse plant defence-associated genes. Plant immunity activated by pre-treatment with chemicals, i. e. β-amino-n-butyric acid and melatonin, was suggested for reducing Alternaria black spots or blights in cruciferous crops. The disease resistance traits have also been evaluated in model plant Arabidopsis originating from different habitats. Various plant immunity-related mutants showing different disease responses from wild-type Arabidopsis provided valuable information for managing Alternaria black spots or blights in cruciferous crops. In particular, redox regulation and antioxidant responses altered in the Alternaria-infected mutants were discussed in this review.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.1-10
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• 2024

This study proposes a developmental policy direction for the online platform industry, moving away from the regulatory-centered discussions that have predominated thus far. To offer policy directions, the PEST-SWOT-AHP analysis model was employed. The study first categorizes the issues of the domestic online platform industry into political, economic, social, and technological aspects, which are then further categorized into 16 strengths, weaknesses, opportunities, and threats. The relative importance among these factors was measured, leading to the derivation of four final strategies. The analysis indicates that policy directions should prioritize addressing weaknesses, with 'improving regulations that hinder innovation' being the most important factor across all categories, while technological factors were consistently rated highly in importance apart from this. Accordingly, the policy direction for the domestic online platform industry suggests avoiding excessive regulation and instead emphasizing policy support centered around technological development. This study is significant in that it presents a macroscopic developmental direction for online platform policies that have not been discussed in existing academic research, and it provides professional and objective indicators through consensus among scholars and researchers. In the future, it is hoped that research will continue to propose detailed policy strategies and implementation systems based on a macroscopic perspective.

• Journal of Applied Biological Chemistry
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• v.66
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• pp.213-220
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• 2023

The most common skin disease, acne, often occurs in adolescence, but it is also detected/observed in adults due to air pollution and drug abuse. One of the causative agents of acne, Cutibacterium acnes (C. acnes) plays a role in the development of skin acne by inducing inflammatory mediators. Torreya nucifera (TN) is an evergreen tree of the family Taxaceae, having well reported antioxidant, anti-proliferative, liver protection, and nerve protection properties. Improvement of these bioactive properties of natural products is one of the purposes of natural product chemistry and pharmaceuticals. We believe biorenovation could be one improvement strategy that utilizes microbial metabolism to produce unique derivatives having enhanced bioactivity. Therefore, in this study, the C. acnes-induced RAW264.7 inflammation model was used to evaluate the anti-inflammatory activity of the biorenovated Torreya nucifera product (TNB). The results showed improved viability of TNB-treated cells compared to TN-treated cells in the concentration range of 50, 100, and 200 ㎍/mL. At non-toxic concentrations, TNB inhibited the production of nitric oxide and prostaglandin E2 by suppression of inducible nitric oxide synthase and cyclooxygenase-2 protein expression. TNB also attenuated the expression of interleukin-1β, interleukin-6, interleukin-8, and tumor necrosis factor-α induced by C. acnes. Furthermore, TNB inhibited the nuclear factor-κB signaling pathway, a transcription factor known to regulate inflammatory mediators. Based on these results, this study suggests the potential of using TNB as natural material for the treatment of acnes and thus, supporting our postulation of biorenovation as an bioactivity improvement strategy.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.81-98
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• 2024

This study analyzed the impact of urban spatial factors on the thermal environment. The personal thermal sensation was set as the unit of thermal environment to analyze its correlation with environmental factors. To collect data on personal thermal sensation, Living Lab was applied, allowing citizens to record their thermal sensation and measure the temperature. Based on the input points of the collected personal thermal sensation, nearby urban spatial elements were collected to build a dataset for statistical analysis. Logistic regression analysis was conducted to analyze the impact of each factor on personal thermal sensation. The analysis results indicate that the temperature is influenced by the surrounding spatial environment, showing a negative correlation with building height, greenery rate, and road rate, and a positive correlation with sky view factor. Furthermore, the road rate, sky view factor, and greenery rate, in that order, had a strong impact on perceived heat. The results of this study are expected to be utilized as basic data for assessing the thermal environment to prepare local thermal environment measures in response to climate change.

• Information Systems Review
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• v.19 no.3
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• pp.69-89
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• 2017

In the information age, the rapid development of information technology provides people with an enriching experience yet also causes them harm because of information security (IS) issues. The IS of smartphones faces great challenges. Although many studies on IS awareness have been conducted, most of them have focused on PCs and do not consider the security issues of smartphones. In this study, we focus on those factors that affect IS awareness for both PCs and smartphones. We also analyze the differences in the impacts of certain factors on PCs and smartphones based on the proposed research model. The results are summarized as follows. First, the understanding of security technique, understanding of IS threat, and IS education have significant impacts on IS awareness for PCs and smartphones, while IS intention has a significant impact on IS awareness for PCs but not for smartphones. Moreover, IS policy has no significant impact on IS awareness. Second, PCs and smartphones show no significant differences in IS awareness, IS threat, and IS intention, but show significant differences in understanding of security technique, IS education, and IS policy.