• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.283-289
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• 2022

Public investment is the process of investing capital in projects that serve national interests and thereby create a driving force for economic development in each country. Especially in developing countries, investment capital is limited, so improving the efficiency of public investment becomes a decisive factor for economic development and enhancing the country's status and ultimately making the country a should be rich. Vietnam has a low starting point, has gone through the doi moi process, and has gradually become a middle-income country, and public investment is attracting attention to improve the quality of the country's infrastructure. The objective of this study is to evaluate the factors affecting the effectiveness of public debt management in Vietnam, through a survey of 150 experts with knowledge of public investment and public debt management, using the results of the estimation through the Using SPSS software, the research results show that the monitoring system and human resource quality have an impact on the effectiveness of public debt management. The study could not, however, discover any proof of the influence of institutional quality, geographic location, or accountability on the effectiveness of public debt management. The research also addresses several policy recommendations for Vietnam that would help the country manage its public debt better in the future.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.33-42
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• 2022

One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.

• 한국농공학회논문집
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• 제65권2호
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• pp.1-11
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• 2023

This study analyzed the impact of greenhouse cultivation area and groundwater level changes due to the water curtain cultivation in the greenhouse complexes. The groundwater observation data in the Miryang study area were used and classified into greenhouse and field cultivation areas to compare the groundwater impact of water curtain cultivation in the greenhouse complex. We identified the characteristics of the groundwater time series data by the terrain of the study area and selected the optimal model through time series analysis. We analyzed the time series data for each terrain's two representative groundwater observation wells. The Seasonal ARIMA model was chosen as the optimal model for riverside well, and for plain and mountain well, the ARIMA model and Seasonal ARIMA model were selected as the optimal model. A suitable prediction model is not limited to one model due to a change in a groundwater level fluctuation pattern caused by a surrounding environment change but may change over time. Therefore, it is necessary to periodically check and revise the optimal model rather than continuously applying one selected ARIMA model. Groundwater forecasting results through time series analysis can be used for sustainable groundwater resource management.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.147-154
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• 2024

The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.

• Journal of Ecology and Environment
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• 제47권4호
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• pp.193-199
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• 2023

Background: The least weasel (Mustela nivalis) holds the distinction of being the world's smallest carnivorous animal, yet its presence in South Korea has remained poorly understood. To address this knowledge gap, this study investigates the habitat preferences and distribution of the least weasel in South Korea. Results: Our study compiled presence data from various sources, including citizen reports, national surveys, and expert observations. The results confirmed the nationwide presence of the least weasel in mainland South Korea, with notable concentration regions such as Gangwon province. Among the various habitats, forest edges and forests emerged as the predominant choice, with over half of the documented locations situated within these environments, particularly in broadleaf forests. Additionally, the data reveal a year-round presence of the least weasel, with recorded cases occurring at varying levels throughout the year. Conclusions: Our research advances the understanding of least weasels in South Korea. Despite the relatively modest dataset, our results provide as a valuable resource for future conservation initiatives, emphasizing the significance of forested landscapes. Additionally, it assists in identifying priority areas for protection and management efforts. To secure the future of the least weasel in South Korea and beyond, further research, including long-term monitoring and genetic studies, is imperative.

• Current Optics and Photonics
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• 제8권3호
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• pp.246-258
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• 2024

In aerospace and energy engineering, the reconstruction of three-dimensional (3D) temperature distributions is crucial. Traditional methods like algebraic iterative reconstruction and filtered back-projection depend on voxel division for resolution. Our algorithm, blending deep learning with computer graphics rendering, converts 2D projections into light rays for uniform sampling, using a fully connected neural network to depict the 3D temperature field. Although effective in capturing internal details, it demands multiple cameras for varied angle projections, increasing cost and computational needs. We assess the impact of camera number on reconstruction accuracy and efficiency, conducting butane-flame simulations with different camera setups (6 to 18 cameras). The results show improved accuracy with more cameras, with 12 cameras achieving optimal computational efficiency (1.263) and low error rates. Verification experiments with 9, 12, and 15 cameras, using thermocouples, confirm that the 12-camera setup as the best, balancing efficiency and accuracy. This offers a feasible, cost-effective solution for real-world applications like engine testing and environmental monitoring, improving accuracy and resource management in temperature measurement.

• 수산해양기술연구
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• 제60권1호
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• pp.1-8
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• 2024

This study examined the power consumption of angling boats during entry, departure, and fishing operations using a black box-type storage device. Through this analysis, it determined the energy consumption and carbon emissions of small fishing boats used for catching the largehead hairtail. The energy consumption and carbon emissions were calculated using formulas provided by the Korea Energy Agency, which incorporated updated emission coefficients from 2022. The findings revealed that the average power consumption of small fishing boats for the largehead hairtail was 546.3 kWh, with a total energy consumption of 0.1164 TOE and carbon emissions of 24.057 CO₂. The average energy consumption was calculated at 0.0006 TOE per kilogram, and the carbon emissions were determined to be 0.135 CO₂/kg.

• Journal of information and communication convergence engineering
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• 제22권3호
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• pp.221-230
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• 2024

The aim of this study is to investigate the automatic recognition and analysis of Jeju marine-life images using artificial intelligence (AI) technology. The dataset of marine-life images was prepared using tools such as Python, TensorFlow, and Google Colab (Google Colaboratory). We also developed models by training deep learning AI in image recognition to automatically recognize the species found in these images and extract their associated information, such as taxonomy, characteristics, and distribution. This study is innovative in that it uses deep learning technology combined with imagerecognition technology for marine biodiversity research. In addition, these results will lead to the development of the marine-life industry in Jeju by supporting marine environment monitoring and marine resource conservation. Furthermore, this study is anticipated to contribute to academic advancement, specifically in the study of marine species diversity.

• International Journal of Advanced Culture Technology
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• 제12권3호
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• pp.140-147
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• 2024

Oil and gas industry is a unique sector with complex activities, long supply chains and strict rules for the business. It is important to use enterprise resource planning (ERP) systems to address these challenges as it helps in simplifying operations, improving efficiency and facilitating evidence-based decision making. Nonetheless, successful integration of ERP systems in this industry involves careful planning, customization and alignment with specific business processes including regulatory requirements. Several critical factors, such as strong change management, support of top managers and training that works have been identified in the study. Amongst the hurdles are employee resistance towards the changes, data migration complications and integration with existing systems. Nonetheless, NOCL's ERP implementation resulted in significant improvements in operating efficiency, better data visibility and compliance management. It also led to a decrease in financial reporting timeframes, more accurate inventory tracking and improved decision-making capabilities. The study provides useful insights on how to optimize oil and gas sector ERP implementations; key among them is practical advice including strengthening change management strategies, prioritizing data security and collaborating with ERP vendors. The research highlights the importance of tailoring ERP solutions to specific industry needs as well as emphasizes the strategic role of ongoing monitoring/feedback for future benefits sustainability.

• 한국전통조경학회지
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• 제35권2호
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• pp.98-107
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• 2017

농림축산식품부는 2012년부터 국가중요농업유산을 지정하여, 농촌지역에 보전가치가 있는 농업유산을 보전하고 있다. 이러한 노력으로 국가중요농업유산 7개를 지정하였고, 세계중요농업유산 2개를 등재시키는 성과를 거두었다. 농업유산제도가 도입된 초기와 현재의 정책 환경은 많은 변화가 일어났다. 이에 농업유산 정책 현황을 살피고, 농업유산 정책의 환경 변화를 분석하였다. 그 결과 농업유산 자원 발굴의 미흡, 농업유산 모니터링 관심 증가, 농업유산 활용을 통한 농촌 활성화 기대, 농업유산 보전 관리 예산 부족이라는 정책 환경 변화를 도출하였다. 이렇게 도출된 변화를 반영한 농업유산 보전 관리 정책으로 농업유산 보전 관리체계 확립, 국가중요농업유산 지정기준 완화, 농업유산 모니터링 의무화, 농업유산 브랜드 강화, 농업유산 보전관리를 위한 예산 확대를 제안하였다. 이렇게 제안된 정책을 통해 농업유산 자원의 폭넓은 발굴과 지정이 가능할 것으로 기대된다. 또한 보전 관리 및 활용을 통해 농민은 농업유산을 이용한 농업활동을 유지할 수 있을 것이며, 가치 있는 농업유산이 후대에 계승될 수 있을 것이다.