• Plant Resources
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• v.7 no.1
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• pp.77-86
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• 2004

The reduced ratio of red:far-red (R:FR) light acts as a measure of the proximity of competitors and plants can detect the potentially competing neighbor plants by perceiving reflected R:FR signals and initiate the response of “shade avoidance” before actual shading occurs. The phytochrome system is responsible for monitoring the changes in the R:FR and initiating the shade avoidance response. The response to low R:FR ratio was studied in a white aspen Populus alba clone ‘Bolleana’ using two filter systems: a clear plastic filter system that allows a R:FR ratio less than 1.0 to pass from adjacent border plant reflection; and a special commercial plastic that blocks FR light and creates a R:FR ratio above 3.0. The reduced R:FR signals enhanced the stem elongation in response to competition at the expense of relative stem diameter growth. Trees grown inside clear chambers were 27 ％ taller than trees grown inside the FR-blocking filter chambers. Stem taper of clear chamber trees was 16％ less than the FR-blocking filter trees. Low R:FR also induced 22％ more stem dry weight and 13％ greater petiole length per leaf compared to the FR-blocking filter trees. There were no statistically significant differences in leaf area, leaf number increment, and total dry weight between the two light filter treatments.

• Nuclear Engineering and Technology
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• v.53 no.10
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• pp.3133-3150
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• 2021

This work deals with the validation of a high-fidelity multiphysics system coupling the Serpent 2 Monte Carlo neutron transport code with SUBCHANFLOW, a subchannel thermalhydraulics code, and TRANSURANUS, a fuel-performance analysis code. The results for a full-core pin-by-pin burnup calculation for the ninth operating cycle of the Temelín II VVER-1000 plant, which starts from a fresh core, are presented and assessed using experimental data. A good agreement is found comparing the critical boron concentration and a set of pin-level neutron flux profiles against measurements. In addition, the calculated axial and radial power distributions match closely the values reported by the core monitoring system. To demonstrate the modeling capabilities of the three-code coupling, pin-level neutronic, thermalhydraulic and thermomechanic results are shown as well. These studies are encompassed in the final phase of the EU Horizon 2020 McSAFE project, during which the Serpent-SUBCHANFLOW-TRANSURANUS system was developed.

• Journal of Korean Society of Rural Planning
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• v.25 no.1
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• pp.11-20
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• 2019

The purpose of this study was to analyze the status of conservation and management of KIAHS(Korea's Important Agricultural Heritage System) by focusing on which of the conceptual and institutional characteristics and stakeholder activities, and to suggest improvement plans. The results were summarized as follows, first, insiders prioritize financial support and participate in plan execution and activities. Second, rural utilization and traditional agricultural succession activities and support are deficient. Third, administrators (intermediary) focuses primarily on KIAHS designation; ordinance enactment, manpower recruitment and other structural considerations are lacking. Fourth, the role of administrators (intermediary) is limited to operational funding and facility management support at the enforcement and activity stage. Fifth, outsiders besides visitors, such as the public or business enterprises, lacked participation methods. For the sustainable KIAHS, municipality must perceive agricultural heritage as a resource and recognize the importance, and treat it accordingly. The establishment of local-led conservation activities and movements must be considered in an enhanced investigation and excavation stage. The complementary policies that ensure continual support from experts from the first investigation and excavation stage to the final monitoring stage are necessary. The standards and regulations are necessary to achieve parity between conservation and maintenance of agricultural heritage, and its utilization.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.440-448
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• 2019

The Internet of Things (IoT) is one of the main enablers for situation awareness needed in accomplishing smart cities. IoT devices, especially for monitoring purposes, have stringent timing requirements which may not be met by cloud computing. This deficiency of cloud computing can be overcome by fog computing for which fog nodes are placed close to IoT devices. Because of low capabilities of fog nodes compared to cloud data centers, fog nodes may not be deployed with all the services required by IoT devices. Thus, in this article, we focus on the issue of fog service placement and present the recent research trends in this issue. Most of the literature on fog service placement deals with determining an appropriate fog node satisfying the various requirements like delay from the perspective of one or more service requests. In this article, we aim to effectively place fog services in accordance with the pre-obtained service demands, which may have been collected during the prior time interval, instead of on-demand service placement for one or more service requests. The concept of the logical fog network is newly presented for the sake of the scalability of fog service placement in a large-scale smart city. The logical fog network is formed in a tree topology rooted at the cloud data center. Based on the logical fog network, a service placement approach is proposed so that services can be placed on fog nodes in a resource-effective way.

• Journal of Soil and Groundwater Environment
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• v.23 no.6
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• pp.9-27
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• 2018

In recent years, the sales of bottled spring water (BSW) have been drastically increasing in Korea and other countries, which accompanied great interests in conservation and reclamation of natural mineral water (NMW). In this study, management and research activities on NMW in Europe, USA, and Codex Alimentarius were reviewed. In each region, NMW is regulated with its own quality standards that differ from ordinary drinking water, and management actions are strictly implemented to protect water resources and to secure quality of NMW. Many studies on NMW were carried out for monitoring inorganic constituents including major and trace elements in national levels for bottled NMW, groundwater, and tap water in other countries. In Korea, NMW became commercialized in 1995 when BSW was legally approved as a drinking water. To further promote utilization of various types of NMW in Korea, regulations and policies for NMW need to be revised in accordance with international NMW management trends. Further, studies of NMW that compile a comprehensive set of physical and chemical parameters of NMW are also needed to properly understand occurrences, hydrogeological and geochemical processes of NMW, as well as to evaluate its potential use as a natural resource.

• Parasites, Hosts and Diseases
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• v.59 no.2
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• pp.153-157
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• 2021

This study reports the first two clinical cases of spirometrosis caused by Spirometra sp. in cats in Korea. In these two cases, the cats vomited, and long proglottids of tapeworm were recovered. The sick cats presented with anorexia and lethargy. However, they unexpectedly showed no diarrhea, which is the main symptom of spirometrosis. Based on a fecal floatation test as well as morphological and molecular analyses, the parasite was diagnosed as Spirometra sp. The 2 cases were treated with praziquantel. This study suggests regular monitoring of health and deworming in companion animals, even when animals are well cared for, with regular preventive medication. Additionally, spirometrosis should be considered in the differential diagnosis in cases of gastrointestinal symptoms in Spirometra endemic areas.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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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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• v.22 no.11
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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.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.2
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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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• v.24 no.4
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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.