• Journal of Ecology and Environment
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• v.31 no.2
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• pp.89-95
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• 2008

Sensing the approach of a predator is critical to the survival of prey, especially when the prey has no choice but to escape at a precisely timed moment. Escape behavior has been approached from both proximate and ultimate perspectives. On the proximate level, empirical research about electrophysiological mechanisms for detecting predators has focused on vision, an important modality that helps prey to sense approaching danger. Studies of looming-sensitive neurons in locusts are a good example of how the selective sensitivity of nervous systems towards specific targets, especially approaching objects, has been understood and realistically modeled in software and robotic systems. On the ultimate level, general optimality models have provided an evolutionary framework by considering costs and benefits of visually elicited escape responses. A recent paper showed how neural network models can be used to understand the evolution of visually mediated antipredatory behaviors. We discuss this new trend towards integration of these relatively disparate approaches, the proximate and the ultimate perspectives, for understanding of the evolution of behavior of predators and prey. Focusing on one of the best-studied escape pathway models, the Orthopteran LGMD/DCMD pathway, we discuss how ultimate-level optimality modeling can be integrated with proximate-level studies of escape behaviors in animals.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.231-234
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• 2007

This study proposes a Web GUI system using MGIS-based three-dimensional data models and hydrodynamic model. The study of Web GUI (Graphic User Information) system based on the MGIS (Marine Geographic Information System) is mainly performed on effective methodologies which transform real world data to computing world data. Finally, we design a Seomjin River Estuary Web GUI system integrating above data models. It must adds more ecological information and the various service item for approach more easily in order to user.

• Research in Community and Public Health Nursing
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• v.23 no.1
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• pp.1-12
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• 2012

Purpose: This study carried out a preliminary analysis of available literature and used the ecological approach to define a research hypothesis with focus on individual, family, and school variables related to early adolescents' urge to run away. This study also aimed to examine the influence of each of these variables in order to build a forecast model showing which variables have more influential on early adolescents' urge to run away. Methods: Materials were collected from 433 male and female fifth- and sixth-grade students at two schools in Gyeonggi Province. Analysis was carried out using SPSS/WIN 18.0. Frequency analysis, ${\chi}^2$-test, t-test, correlation analysis and logistic regression analysis were conducted. Results: The results indicate that personal factors related to runaway impulse are gender and previous runaway attempts, family-related factor family functionality, and school-related factor the area of stress from study. Conclusion: Based on the study results as above, individual, family, and school interventions need to be developed.

• Korean Journal of Health Education and Promotion
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• v.28 no.3
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• pp.43-55
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• 2011

Objectives: The objectives of this study were to describe population-based prevention strategies for childhood obesity and to discuss its application in a city in Korea. Methods: Literature review and empirical findings for ongoing programs were performed to develop population-based prevention strategies for childhood obesity with the framework and principles of WHO population-based prevention strategies for childhood obesity. Results: The developed framework had five key strategies (supportive policies, supportive environment, supportive program, strategic development & leadership, and monitoring & evaluation) under hierarchic objectives (long-term, middle-term and short-term) with the vision of healthy growth and development of all children and youth. Each strategy included evidence-based action plans with WHO principles. Conclusions: The developed strategies have advanced the existing strategies for childhood obesity prevention by providing the sustainable and systematic framework and action plans based on ecological approach. Further, the feasibility for operating the strategies needs to be verified.

• Journal of computational fluids engineering
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• v.18 no.1
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• pp.69-76
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• 2013

To reduce the damage from the coastal disaster such as typhoon and tsunami, a possible option is the eco-friendly approach to minimize the destruction of ecological system. One of feasible idea is the forest for damage prevention artificially arranged along the beach. To understand a precise physics on the flow before and after the forest, we use a CFD method. In this paper, a three-dimensional numerical model has been constructed based on tree cases in a real forest located at Byin-myeon, Seocheon-gun, Chungnam. The CFD computation using a commercial code COMSOL multiphysics is performed for the distribution of real spatial coordinate of each tree. Through this investigation, the CFD techniques are shown to be applied to the research of forest composition plan. The physics in the regime from laminar to turbulent flow is qualitatively explained, and the obtained data are compared one another quantitatively.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.825-832
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• 2021

A simulation-based approach is proposed to study the protective actions taken by residents during nuclear emergencies using cognitive findings. Human perception-based behaviors are not heavily incorporated in the evacuation study for nuclear emergencies despite their known importance. This study proposes a generic framework of perception-based behavior simulation, in accordance with the ecological concept of affordance theory and a formal representation of affordance-based finite state automata. Based on the generic framework, a simulation model is developed to allow an evacuee to perceive available actions and execute one of them according to Newton's laws of motion. The case of a shadow evacuation under nuclear emergency is utilized to demonstrate the applicability of the proposed framework. The illustrated planning algorithm enables residents to compute not only prior knowledge of the environmental map, but also the perception of dynamic surroundings, using widely observed heuristics. The simulation results show that the temporal and spatial dynamics of the evacuation behaviors can be analyzed based on individual perception of circumstances, while utilizing the findings in cognitive science under unavoidable data restriction of nuclear emergencies. The perception-based analysis of the proposed framework is expected to enhance nuclear safety technology by complementing macroscopic analyses for advanced protective measures.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.909-916
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• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.614-630
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• 2023

Dead trees significantly impact forest production and the ecological environment and pose constraints to the sustainable development of forests. A lightweight YOLOv4 dead tree detection algorithm based on unmanned aerial vehicle images is proposed to address current limitations in dead tree detection that rely mainly on inefficient, unsafe and easy-to-miss manual inspections. An improved logarithmic transformation method was developed in data pre-processing to display tree features in the shadows. For the model structure, the original CSPDarkNet-53 backbone feature extraction network was replaced by MobileNetV3. Some of the standard convolutional blocks in the original extraction network were replaced by depthwise separable convolution blocks. The new ReLU6 activation function replaced the original LeakyReLU activation function to make the network more robust for low-precision computations. The K-means++ clustering method was also integrated to generate anchor boxes that are more suitable for the dataset. The experimental results show that the improved algorithm achieved an accuracy of 97.33%, higher than other methods. The detection speed of the proposed approach is higher than that of YOLOv4, improving the efficiency and accuracy of the detection process.

• Journal of the Korean Regional Science Association
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• v.36 no.1
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• pp.17-36
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• 2020

This study aims to compare the differences between the socially underprivileged and the population as a whole in terms of the quality of life gap between the Seoul metropolitan and non-capital regions based on the capabilities approach. To this end, we selected indicators that can measure nine dimensions of capabilities, such as income, housing, health, and social relations, calculated indicator values for the socially underprivileged and the whole population, and standardized them. The Wilcoxon signed-rank test and the SUR model were used for comparative analysis. The results show that there are significant differences in the disparities between the Seoul metropolitan and non-capital regions between the socially underprivileged and the entire population, and the differences are generally consistent in the most unfavorable direction for the socially underprivileged in the non-capital regions. In addition, the gap between the Seoul metropolitan and non-capital regions is not large from the point of view of the total population average, but the inter-regional gap is still significant from the viewpoint of the socially underprivileged. These results show the limitations of 'average' regional policies based on an analysis of the average of the total population, and the study is significant to illustrate the ecological errors that may arise in regional problem analysis.

• KIEAE Journal
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• v.16 no.3
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• pp.137-143
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• 2016

Purpose: Apartment housing should conduct a cyclic repair to keep and maintain the building performance since they are constructed. Therefore, the repair plan would be provided for long term period which explains the repair time, items and repair cost. Residents of apartment housing are responsible to pay for the repair activities. For repair cost, residents would reserve the money for repair little by little continuously until the required repair time because the repair cost takes a big burden for residents and lots of money a time. But, there is no systematic approach to provide the long term repair cost because it is no proper forecast of the repair cost to the upcoming repair time. In this study, it aimed at providing the monthly accumulation of the long term repair cost with the survey data in Seoul. Method: For these, the surveyed data are classified into 6 categories and number of data are 1,918. In addition, it developed the repair cost model for the 24 repair works and the cumulation function which is reflected with the each cost model. Result: This study are shown as follows : First, among the various estimation for the repair cost, the power function has a goodness of fit in statistics. Second, the monthly accumulation would be 12,840 won/household in size of $100,000m^2$ management area and $81.7won/m^2$ in size of the 1,000 household number during 40 years.