• Journal of the Korean Geotechnical Society
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• v.40 no.4
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• pp.69-79
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• 2024

Field geotechnical data are obtained from various field and laboratory tests and are documented in geotechnical investigation reports. For efficient design and construction, digitizing these geotechnical parameters is essential. However, current practices involve manual data entry, which is time-consuming, labor-intensive, and prone to errors. Thus, this study proposes an automatic data extraction method from geotechnical investigation reports using image-based deep learning models and text-mining techniques. A deep-learning-based page classification model and a text-searching algorithm were employed to classify geotechnical investigation report pages with 100% accuracy. Computer vision algorithms were utilized to identify valid data regions within report pages, and text analysis was used to match and extract the corresponding geotechnical data. The proposed model was validated using a dataset of 205 geotechnical investigation reports, achieving an average data extraction accuracy of 93.0%. Finally, a user-interface-based program was developed to enhance the practical application of the extraction model. It allowed users to upload PDF files of geotechnical investigation reports, automatically analyze these reports, and extract and edit data. This approach is expected to improve the efficiency and accuracy of digitizing geotechnical investigation reports and building geotechnical databases.

• Industry Promotion Research
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• v.9 no.3
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• pp.163-174
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• 2024

MyData is a new entity that strengthens the rights of information subjects through the 'right to data portability' and utilizes data to enable hyper-personalized services using personal information. Korea's MyData system is recognized globally as an outstanding system in that it is creating a new MyData industry by granting the right to information self-determination through the 'right to request data transmission'. Now in its third year, this study evaluates Korea's MyData system from a consumer behavior perspective and identifies issues for improvement. To this end, this study reviewed previous research on the relationship between regulatory policy and consumer behavior to determine the applicability of a consumer behavior perspective in institutional evaluation. In addition, in a study on consumer behavior related to MyData, variables that affect the use of MyData were investigated and evaluation items from a consumer behavior perspective were derived. As a result of evaluating Korea's MyData system from a consumer behavior perspective, it was found that the factors considered important by consumers were appropriately reflected in the system. However, in cases where there are dual values of ease of use and personal information protection, regulatory aspects tend to take priority. Therefore, in order to revitalize the MyData industry, it is essential to implement market-friendly system improvements without compromising consumer rights. This study is differentiated from existing studies in that it attempted to derive a plan for system improvement by combining empirical consumer behavior research and regulatory policy research.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.4
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• pp.104-119
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• 2024

The burden of medical expenses and the loss of social capital due to chronic diseases are becoming problems worldwide, and comprehensive and inclusive measures across various fields are required to prevent and manage their impacts. Social prescriptions have been shown to be effective in resolving the fundamental causes of health problems in patients with chronic diseases and in supporting existing treatments. In particular, green prescriptions that utilize the healing effects of nature and green spaces based on social prescriptions are being introduced in many countries overseas. Green prescription is the practice of a healthcare provider recommending activities in green spaces or experiences in the natural environment to patients for the prevention and management of chronic diseases. This study analyzed cases focusing on the policy system, the cases of the United Kingdom and the United States, which have introduced and operated green prescriptions under a national system. For this purpose, this study compared the background of green prescription introduction, related policies, and operation methods. Based on this, four implications were proposed to establish an effective plan for introducing green prescriptions in Korea. First, prior to establishing a policy for green prescriptions, interest in and research on green prescriptions are essential. Second, an implementation plan that fits the national health care system should be established, and policies should support the plan. Third, the introduction of green prescriptions from a long-term and gradual perspective is required. Fourth, comprehensive cooperation is required for the introduction and implementation of the green prescription system. This study can be used as basic data for discussion before introducing green prescriptions in Korea in the future.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.2
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• pp.181-193
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• 2024

Summative assessment provides information on how well students have achieved learning objectives, making the development of high-quality assessment items essential for accurate evaluation. This is one of the competencies that teachers must possess. This study aims to analyze summative assessment items created by pre-service elementary teachers, examining their intentions and the difficulties encountered in the item development process. The study involved 45 second-year students enrolled in an elementary teacher training university. They were grouped into teams of three and tasked with developing ten items, documenting the purpose of each item, the answer key, and the challenges faced during item creation. The collected summative assessment items were analyzed using a two-dimensional purpose classification table that includes Klopfer's taxonomy of educational objectives. The intentions behind the summative assessments and the difficulties faced during item development were inductively organized and analyzed through qualitative data analysis. The results revealed that pre-service elementary teachers adequately reflected scientific content elements but did not evenly cover assessment domains. The most challenging aspect for them was adjusting the difficulty level. Although they considered most factors that should be taken into account during item development, these considerations were not reflected in the actual items. These findings suggest that knowledge and experience are crucial in developing summative assessment items, and systematic lectures are necessary for pre-service elementary teachers.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.94-99
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• 2024

Recently, wind power has been gaining attention as a highly efficient renewable energy source, leading to various technological developments worldwide. Typically, wind power is operated in the form of large wind farms with many wind turbines installed in areas rich in wind resources. However, in developing countries or regions isolated from the power grid, off-grid small wind power systems are emerging as an efficient solution. To efficiently operate and expand off-grid small-scale power systems, the development of real-time monitoring systems is required. For the efficient operation of small wind power systems, it is essential to develop real-time monitoring systems that can actively respond to excessive wind speeds and various environmental factors, as well as ensure the stable supply of produced power to small areas or facilities through an Energy Storage System (ESS). The implemented system monitors turbine RPM, power generation, brake operation, and more to create an optimal operating environment. The developed small wind power system can be utilized in remote road lighting, marine leisure facilities, mobile communication base stations, and other applications, contributing to the development of the RE100 industry ecosystem.

• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.5
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• pp.285-294
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• 2024

Seismic fragility curves present the conditional probability of damage to target structures due to external seismic load and are widely used in various ways. When constructing such a seismic fragility curve, it is essential to consider various types and numbers of ground motions. In general, the earthquake occurrence characteristics of an area where the target structure of the seismic fragility curve exists are analyzed, and based on this, appropriate ground motions are selected to derive the seismic fragility curve. If the number of selected ground motions is large, the diversity of ground motions is considered, but a large amount of computational time is required. Conversely, if the number of ground motions is too small, the diversity of ground motions cannot be considered, which may distort the seismic fragility curve. Therefore, this study analyzed the relationship between the number of ground motions considered when deriving the seismic fragility curve and the parameters of the seismic fragility curve. Using two example structures, numerical analysis was performed by selecting a random number of ground motions from a total of two hundred, and a seismic fragility curve was derived based on the results. Analysis of the relationship of the parameter of the seismic fragility curve and the number of selected ground motions was performed. As the number of ground motions considered increases, uncertainty in ground motion selection decreases, and when deriving seismic fragility curves considering the same number of ground motions, uncertainty increases relatively as the degree of freedom of the target structure increases. However, considering a relatively large number of ground motions, uncertainty appeared insignificant regardless of increased degrees of freedom. Finally, it is possible that the increase in the number of ground motions could lower the epistemic uncertainty and thus improve the reliability of the results.

• Information Systems Review
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• v.26 no.2
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• pp.45-57
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• 2024

This study develops a deep learning-based methodology for predicting Crude Palm Oil (CPO) prices. Palm oil is an essential resource across various industries due to its yield and economic efficiency, leading to increased industrial interest in its price volatility. While numerous studies have been conducted on palm oil price prediction, most rely on time series forecasting, which has inherent accuracy limitations. To address the main limitation of traditional methods-the absence of stationarity-this research introduces a novel model that uses the ratio of future prices to current prices as the dependent variable. This approach, inspired by return modeling in stock price predictions, demonstrates superior performance over simple price prediction. Additionally, the methodology incorporates the consideration of lag values of independent variables, a critical factor in multivariate time series forecasting, to eliminate unnecessary noise and enhance the stability of the prediction model. This research not only significantly improves the accuracy of palm oil price prediction but also offers an applicable approach for other economic forecasting issues where time series data is crucial, providing substantial value to the industry.

• Korean Journal of Environment and Ecology
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• v.38 no.4
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• pp.405-415
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• 2024

The bioacoustics generated in urban parks contribute to the overall sound diversity of a city, creating a harmonious acoustic environment and maintaining the balance of the soundscape. However, due to the rapid urbanization process, the acoustic environment in urban parks is continuously deteriorating due to increased noise. In this study, we present an approach to monitoring the acoustic environment of urban parks by analyzing the soundscape of Namsan Urban Natural Park in Seoul. Acoustic data were collected continuously for one month from August 2021 in four facility districts of the study site using autonomous recording units, and a total of 2,784 hours of sound material were obtained. We also compared soundscape characteristics over time in each district using acoustic indices (ACI, ADI, BI, NDSI) representing soundscape complexity, acoustic diversity, degree of bioacoustics, and anthropogenic disturbance. The results showed that acoustic indices related to bioacoustics varied between districts, but most indices showed similar variation patterns due to the influence of anthropogenic sounds. In particular, regional differences closed during periods of high bird activity but not during periods of high human activity. We suggest that considering both acoustic characteristics and multiple acoustic indices is necessary for managing the soundscape of urban parks. The results of this study are expected to provide essential data for assessing the health of urban ecosystems based on soundscapes and to be used for monitoring the acoustic environment of urban parks.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.619-629
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• 2024

Innovation means the creation of new value by changing existing things. Dyson's Cyclone vacuum cleaner, a representative innovative product, eliminated the dust filter that had existed in vacuum cleaners for over 100 years. Instead of directly improving the dust filter that reduces suction power, this product was invented by asking the essential question, 'How do we separate dust in the air?' Creative innovation happens when the essence of the problem is properly understood. TRIZ(Theory of Inventive Problem Solving) analyzed numerous invention patents and discovered that innovative results in problem solving appear depending on the existence of contradictions in the problem and how to creatively overcome the contradictions. Based on this, it was systematized into a methodology along with other powerful principles of problem solving. Therefore, TRIZ is a powerful tool for creative and innovative problem solving. However, for creative innovation, it is not easy to properly identify the contradictions in the problem and apply them to solve the problem. However, for creative innovation, it is not easy to properly identify the contradictions in the problem and apply them to solve the problem. In addition, depending on which contradiction is selected, not only the direction of problem solving but also the final solution varies, but researches on this are very lacking. To overcome these difficulties, this study first introduced the concepts of existence contradiction and state contradiction, presented a new problem-solving process, and verified its validity by applying it to toothbrush patent cases. Although there are limitations in applying it to various cases, we hope that the new concept of contradiction presented for the first time in this study and the problem-solving process through it will contribute to producing innovative results.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.53-60
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• 2024

The purpose of the study was to examine the effects of early childhood teachers' empowerment on play support competency, mediated by teaching creativity. The subjects of this study were 173 early childhood teachers working in kindergartens and childcare centers in the metropolitan area, and the main variables were measured through questionnaires. To investigate the research questions, correlation analysis using Pearson's correlation coefficient, regression analysis, and mediation effect verification were conducted using SPSS 28.0 and PROCESS macro 4.2 programs. The results are as follows. First, higher levels of early childhood teachers' empowerment and teaching creativity were associated with higher level of play support competency. Second, it was revealed that early childhood teachers' empowerment influences play support competency through the mediation of teaching creativity. This suggests that when early childhood teachers perceive their level of empowerment to be high, it positively impacts their level of teaching creativity, thereby enhancing their play support competency. Based on the results, we suggest that empowerment and instructional creativity are crucial factors in strengthening early childhood teachers' play support competency, which is essential for implementing a play-based early childhood curriculum.