• Journal of the Society of Disaster Information
• /
• v.19 no.1
• /
• pp.216-230
• /
• 2023

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

• Journal of Family Resource Management and Policy Review
• /
• v.26 no.4
• /
• pp.39-52
• /
• 2022

The purpose of this study was to examine the workday leisure time of dual-income fathers and mothers with preschool children. Data were gathered from the Statistics Korea Life Time Surveys from 2004(y1) and 2019(y2) (n=2,697). Life time was composed of three types(inevitable time, compulsory time, and leisure time) and leisure time was categorized into 11 activities(voluntarism, participation, social relationships, religion, rituals, culture and tourism, sports, game and play, media, rest, and others) to investigate gender differences and time effects. The major results were as follows: First, both working fathers and mothers with preschool children spent less inevitable time, more compulsory time, and less leisure time, than other adult group. Second, fathers spent more time on 10 leisure activities except religion in y1, and on all activities than mothers in y2. In y2, less time on three activities(social relationships, rituals, and media) for both fathers and mothers, less time on religion for mothers only, more time on two activities(participation, game and play) for both groups were spent than y1. Third, in the regression analysis of fathers' and mothers' leisure time on three leisure activities(sports, game and play, and media) with a distinct pattern from leisure time for adult group between y1 and y2, socioeconomic variables and lifetime variables showed different effects by gender and waves. Based on the results, family policy and programs to improve the work-life balances of working fathers and mothers discussed.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.28-28
• /
• 2023

Most countries worldwide are finding it difficult to make decisions regarding the utilization of water resources and the ecological flow protection of rivers because of serious water shortages and global climate warming. To overcome this difficulty, accurate ecological flow processes and protected ecological objectives are required. Since the introduction of the concept, ecological flow calculations have been developed for more than 60 years. This technical development has always been dominated by countries such as the United States, Australia, and the United Kingdom. The technical applications, however, vary substantially worldwide. Some countries, for instance, did not readjust the method because of a lack of understanding of the ecological effect or because they failed to achieve elaborate scheduling. Mostly, readjustments were not made because the users could not make their choices from among numerous methods for ecological flow. This paper presents three research results based on a systematic review of 240 methods with clear connotation boundaries. First, the ecological flow algorithm was developed along with the scientific and technological progress in the river ecosystem theory, ecohydrological relationship, and characterization and simulation of hydrological and hydrodynamic processes. In addition, the basis of the method has evolved from the hydrological process of the ecosystem, hydraulics-habitat conditions, and social development interference to whole ecosystem simulation. Second, 240 methods were classified into 50 sub-categories to evaluate their advantages and disadvantages according to the ecological flow algorithms of hydrology, hydraulics, habitat, and other comprehensive methods. According to this evaluation, 60% of the methods were not suitable for further application, including the method based on the percentage of natural runoff. Furthermore, the applicability of the remaining methods was presented according to the evaluation based on the aspects of allocation of water resources, water conservancy project scheduling, and river ecological evaluation. Third, In the future, most developing countries should strengthen the guarantee of high-standard ecological flow via a coordination mechanism for the ecological flow guarantee established under a sustainable framework or via an ecological protection pattern at the national level according to the national system. Concurrently, a reliable ecological flow demand process should also be established on the basis of detailed investigation and research on the relationship between river habitats, ecological hydrology, and ecological hydraulics. This will ensure that the real-time evaluation of ecological flow forces the water conservancy project scheduling and accurate allocation of water.

• Research in Plant Disease
• /
• v.28 no.4
• /
• pp.179-194
• /
• 2022

In this review, the mycotoxin contamination of Korean cereals and their products is analyzed by crop based on scientific publications since 2000. Barley, rice, and corn were investigated heavier than the others. The common mycotoxins occurred in all cereals and their products were deoxynivalenol and zearalenone. Nivalenol was detected in all samples analyzed but more frequently or mainly in barley, rice, and oat. Fumonisin was commonly detected in corn and sorghum but also in adlay, millet, and rice. Adlay and millet were similar in the contamination pattern that fumonisin and zearalenone were the most frequently detected mycotoxins. Zearalenone was the most commonly detected mycotoxin with concentrations higher than the national standards (maximum limit), followed by deoxynivalenol, and aflatoxin. However, most occurrence levels were below the maximum limits for respective mycotoxins. This result shows that barley, rice, corn, sorghum, millet, and adlay are more vulnerable to mycotoxin contamination than other cereals and therefore continuous monitoring and safety management are necessary.

• Journal of Korean Elementary Science Education
• /
• v.42 no.1
• /
• pp.127-148
• /
• 2023

In this study, we used an analysis of the literature on socio-scientific issues (SSI) classes to examine domestic SSI class research and to determine the characteristics of SSI class research for each subject. A search for papers related to SSI classes published in Korea Citation Index-listed journals and candidate journals of the Korea Research Foundation found 95 relevant papers, which were then categorized according to participants and topics. Studies with both pre-service and experienced teachers attempted to investigate SSI-related perceptions. Studies of pre-service teachers tended to examine the level and development pattern of argumentation or to analyze decision-making characteristics and informal reasoning. Studies of experienced teachers tended to analyze instructional expertise in SSI teaching activities, focusing on teachers with substantial SSI teaching experience. Middle and high school students-related studies examined student decision-making and reasoning processes in SSI learning activities, developed SSI class programs, and analyzed educational effects. Examining the characteristics of SSI classes for elementary school students was difficult because few such studies have been published. However, the characteristics that elementary school students show in SSI learning situations could be inferred. A plan to revitalize SSI classes in the elementary science education field from the perspective of teacher education and class research is suggested.

• Design Convergence Study
• /
• v.16 no.6
• /
• pp.169-184
• /
• 2017

There is a lot of needs that are not expressed as much as the expressed needs in familiar products and services that are used in daily life such as a smartphone. Finding the 'Inconveniences in familiar use' make it possible to create opportunities for value expanding in the existing products and service area. There are a lot of related works, which have studied the definition of hidden needs and the methods to find it. But, they are making it difficult to address the hidden needs in the cases of familiar use due to focus on the new product or service developing typically. In this study, we try to redefine the hidden needs in the daily familiarity and approach it in the new way to find out. Because of the users' unability to express what they want and the complexity of needs which can not be explained clearly, we can not approach it as the quantitative issue. For this reason, the basic data type selected as the user behavior data excluding all description is the screen-shot of the smartphone. We try to apply the integrated rules and patterns to the individual data using the qualitative coding techniques to overcome the limitations of qualitative analysis based on unstructured data. From this process, We can not only extract meaningful clues which can make to understand the hidden needs but also identify the possibility as a way to discover hidden needs through the review of relevance to actual market trends. The process of finding hidden needs is not easy to systemize in itself, but we expect the possibility to be conducted a reference frame for finding hidden needs of other further studies.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.339-345
• /
• 2023

Design exists behind technology. Design is intertwined with the needs of daily life and market structures, and while dealing with technology, it can become insensitive to its meaning. Unlike other social media platforms, Instagram consists of image-based content. The purpose of this study is to examine the addictive design of Instagram. Furthermore, we discuss the ethical responsibilities that designers must have. A theoretical framework for understanding Instagram design is established through a review of major domestic and international literature that has been previously studied. Understand the history, structure, and functions of Instagram and identify Instagram designs that promote social media addiction. In this study, we introduced the mechanism by which Instagram promotes user addiction through design issues. (1) Pull-to-Refresh (2) Red color in push alarm (3) Profile photo border expression in Instagram Story. This design stimulates users' social desires and FOMO, forming the structure of obsessive Instagram usage habits. Instagram is an example that forces us to reconsider the ethical role of design and designers along with the advancement of technology. In today's world, the intrinsic value of what they create, including our society and life itself.

• Information Systems Review
• /
• v.22 no.4
• /
• pp.21-39
• /
• 2020

Recently, deep learning has shown high performance in various applications such as pattern analysis and image classification. Especially known as a difficult task in the field of machine learning research, stock market forecasting is an area where the effectiveness of deep learning techniques is being verified by many researchers. This study proposed a deep learning Convolutional Neural Network (CNN) model to predict the direction of stock prices. We then used the feature selection method to improve the performance of the model. We compared the performance of machine learning classifiers against CNN. The classifiers used in this study are as follows: Logistic Regression, Decision Tree, Neural Network, Support Vector Machine, Adaboost, Bagging, and Random Forest. The results of this study confirmed that the CNN showed higher performancecompared with other classifiers in the case of feature selection. The results show that the CNN model effectively predicted the stock price direction by analyzing the embedded values of the financial data

• Information Systems Review
• /
• v.22 no.1
• /
• pp.147-165
• /
• 2020

The sharing economy service is now spreading in various fields such as accommodation, cars and bicycles. In particular, bicycle-sharing service have become very popular around the world, and since September 2015, Seoul has been providing a bicycle-sharing service called 'Ttareungi'. However, the number of bicycles is unbalanced among rental stations continuously according to the user's bicycle use. In order to solve these problems, we employed social network analysis using Ttareungi data in Seoul, Korea. We analyzed degree centrality, closeness centrality, betweenness centrality and k-core. As a result, the degree centrality was found to be closely linked with bus or subway transfer center. Closeness centrality was found to be in an unbalanced departure and arrival frequency or poor public transport proximity. Betweenness centrality means where the frequency of departure and arrival occurs frequently. Finally, the k-core analysis showed that Mapo-gu was the most important group by time zone. Therefore, the results of this study may contribute to the planning of relocation and additional installation of bike rental station in Seoul.

• Information Systems Review
• /
• v.21 no.2
• /
• pp.1-27
• /
• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.