• 한국환경복원기술학회지
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• 제16권4호
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• pp.99-114
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• 2013

In this study, constructability of ecologocal stream restoration process was evaluated and improved approaches for habitat were suggested. The study site is Gucheon River in Geoje city where conducted ecologocal restoration work within maintaining its flood control function. Application of ecological design factors and constructability in the process from planning to construction was analyzed and its results are as follows: In the process of planning and designing, it was focused more on the naturality of Gucheon River rather than the human convinience and ecological design factors were applied within the ecological capacity of the site. First, the indexes for constructability evaluation is selected. It was classified into three major categories as construction quality, design quality and construction administration system. Each index has details, so there are twenty sub indexes for contractibility evaluation. Second, the evaluation results shows that the index most in need of improvement was plumbing construction, followed by Stone construction and pavement construction. design concept was evaluated as appropriate in entire categories. Finally it is suggested that it can be improved in both process of design to enhance the technology and process of construction to enhance the quality management. The constructability of ecological stream needs adaptive management and it must be discussed with its designing which is at the stage before construction. Also it needs discussion with its designer constantly and feed-back process.

• 전자공학회논문지CI
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• 제48권5호
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• pp.42-48
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• 2011

에이전트는 특정 목적을 위해 행동을 하는데 이것은 자율지능형 가상군(Computer Generated Forces, CGF)의 공통된 요소이다. 목적을 달성하기 위해 지정된 스크립트를 따라 행위를 하거나 업무 수행의 계획을 세우는 것을 기본적인 에이전트의 지능이라 볼 수 있는데 이보다 더 발전된 지능 에이전트는 계획을 세우는 것뿐만 아니라 계획했던 수행이 어려울 때 계획을 다시 수정하거나 새로운 계획을 적응적으로 만들어내는 것이다. 계획을 수행 할 때 에이전트가 목적을 위한 적응적 행동을 하려면 목표를 달성할 가능성이 적어질 때 스스로 계획을 수정하고 이러한 방식으로 수정되는 방법을 계속적으로 학습하여 차후 같은 경우에는 학습이 반영된 더 좋은 계획 및 전술을 반영하도록 해야 한다. 즉, 목표와 현재의 상태를 실시간으로 분석하고 측정하여 목표 달성도를 정량적으로 계산하고 측정값이 임계값보다 적으면 수정된 계획을 선택하도록 하는 것이다. 본 논문에서는 위와 같이 에이전트가 목표 달성 가능성이 적어질 때 적응적으로 계획을 새롭게 수정하여 적용하는 방법을 연구한 목적 지향적 행위계획 방법을 제안한다.

• 한국의학물리학회지:의학물리
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• 제26권2호
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• pp.79-86
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• 2015

이 연구는 조기 폐암의 정위방사선치료에서 육안적종양체적(Gross tumor volume, GTV) 변화에 따른 적응방사선치료(ART)의 효과 및 가능성을 보기 위해 시행되었다. 영남대학교 의료원에서 정위방사선치료를 시행한 22개의 종양을 대상으로 연구를 진행하였다. 정위방사선치료는 2주에 걸쳐 48 혹은 60 Gy를 4회에 나누어 조사하는 방법으로 시행되었다. 종양체적 변화를 측정하기 위해 매 콘빔시티마다 육안적종양체적에 대한 윤곽선 그리기를 시행하였다. 그 다음 첫 번째 콘빔시티에 기준 치료계획으로 사용할 세기조절방사선치료 계획을 시행하였다. 적응방사선치료 계획을 하기 위해, 2, 3, 4번째 콘빔시티에 기준 치료계획과 동일한 빔 각도와 제약을 적용하여 각각 재 최적화 과정을 진행하였다. 이후 적응방사선치료 계획은 기준치료계획을 각각의 콘빔시티에 복사하여 생성한 비적응방사선치료 계획과 비교되었다. 평균 육안적종양체적은 10.7 cc였다. 평균 종양체적 변화는 두 번째, 세 번째, 네 번째 콘빔시티에서 각각 -1.5%, 7.3%, 25.1%였으며 세 번째 이후 변화는 통계적으로 유의하였다(p<0.05). 하지만 두 번째 콘빔시티에서는 9개의 종양 체적이 증가하였다. 적응방사선치료 계획을 시행하였을 때, 폐에서 $V_{20\;Gy}$, $D_{1500\;cc}$, $D_{1000\;cc}$가 유의하게 감소하였으며, 흉벽에 대한 $V_{30\;Gy}$와 $V_{32\;Gy}$ 역시 유의하게 감소하였다(p<0.05). 두 번째 콘빔시티의 종양체적이 증가한 환자들에서, 기준치료 계획에 비해 적응치료방사선치료 계획을 시행하지 않았을 때, 계획용 표적체적에 대한 선량 범위 변수 중 $D_{min}$은 8.3% 감소한 반면 (p=0.021), 적응방사선치료계획을 시행한 경우에는 차이가 없었다. 이러한 결과를 보았을 때, 적응방사선치료 계획을 함으로서 표적 선량 커버는 개선시키면서 손상위험장기에 대한 선량을 감소시킬 수 있을 것이다. 그러므로, 콘빔시티를 이용한 적응방사선치료 방법은 조기 폐암의 정위방사선치료에서 고려되어야 하겠다.

• 수산경영론집
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• 제42권1호
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• pp.57-70
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• 2011

Fisheries are subject to unexpected weather condition. While some change of it may be positive for some fisheries, the current state suggests that the effects will be undesirable for many fisheries. The aim of this study is to assess the vulnerability to climate change in 11 regional fisheries of Korea using the framework of IPCC. The vulnerability assessment depends upon the interrelation of three key elements; exposure, sensitivity and adaptive capacity, which were derived from Analytical Hierarchy Process method in this study. These elements would contribute to comprehend relative importance at the regional characteristics of fisheries. We compared the vulnerability index of 11 regional fisheries so as to look for strategies and adaptation methods to the impacts of potential climate change. Jeoun-Nam, Kyeong-Nam, and Jeju are identified as the most vulnerable provinces to climate change on their fisheries because they have high level of sensitivity to predicted climate change and relatively low adaptive capacity. The relatively low vulnerability of Ulsan, Gyeonggi reflects high financial independence, well-equipped infrastructure, social capital in these regions. Understanding of vulnerability to climate change suggests future research directions. This paper will provide a guide to local policy makers and fisheries managers about vulnerability and adaptation planning to climate change.

• 한국농공학회논문집
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• 제59권3호
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• pp.97-110
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• 2017

This study investigates the efficiencies of machine learning models, including artificial neural network (ANN), generalized regression neural network (GRNN), adaptive neuro-fuzzy inference system (ANFIS) and random forest (RF), for reservoir water level forecasting in the Chungju Dam, South Korea. The models' efficiencies are assessed based on model efficiency indices and graphical comparison. The forecasting results of the models are dependent on lead times and the combination of input variables. For lead time t = 1 day, ANFIS1 and ANN6 models yield superior forecasting results to RF6 and GRNN6 models. For lead time t = 5 days, ANN1 and RF6 models produce better forecasting results than ANFIS1 and GRNN3 models. For lead time t = 10 days, ANN3 and RF1 models perform better than ANFIS3 and GRNN3 models. It is found that ANN model yields the best performance for all lead times, in terms of model efficiency and graphical comparison. These results indicate that the optimal combination of input variables and forecasting models depending on lead times should be applied in reservoir water level forecasting, instead of the single combination of input variables and forecasting models for all lead times.

• 전기전자학회논문지
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• 제27권4호
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• pp.636-643
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• 2023

본 논문에서는 원전계 환경에서 위상배열안테나를 고속 보정하는 방법이 제안되었다. 원전계에서 수신된 전력만을 통해 각 안테나 요소를 보정하는 기존 rotating-element electric-field vector (REV) 방법을 간소화 한 최대값 보정 방법과, 각 안테나 요소가 아닌 부배열 단위로 묶어서 보정하는 방법이 제안되었다. PPO 알고리즘을 이용하여 위상배열안테나의 분포에 최적화된 파티셔닝을 찾고, 그에 따른 부배열 단위로 보정하여 기존 방법 대비 더 빠른 보정이 가능한 적응형 최대값 보정 방법이 제안 및 시뮬레이션 검증되었다. 보정이 이루어지는 동안 위상배열안테나의 이득이 더 높을 뿐 아니라, 형성되는 빔 패턴이 기존 방법보다 이상적인 빔 패턴에 더 가깝다.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.147-153
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• 2023

In recent times, an absence of effective crowd management has led to numerous stampede incidents in crowded places. A crucial component for enhancing on-site crowd management effectiveness is the utilization of crowd counting technology. Current approaches to analyzing congested scenes have evolved beyond simple crowd counting, which outputs the number of people in the targeted image to a density map. This development aligns with the demands of real-life applications, as the same number of people can exhibit vastly different crowd distributions. Therefore, solely counting the number of crowds is no longer sufficient. CSRNet stands out as one representative method within this advanced category of approaches. In this paper, we propose a crowd counting network which is adaptive to the change in the density of people in the scene, addressing the performance degradation issue observed in the existing CSRNet(Congested Scene Recognition Network) when there are changes in density. To overcome the weakness of the CSRNet, we introduce a system that takes input from the image's information and adjusts the output of CSRNet based on the features extracted from the image. This aims to improve the algorithm's adaptability to changes in density, supplementing the shortcomings identified in the original CSRNet.

• Steel and Composite Structures
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• 제51권5호
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• pp.473-485
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• 2024

This paper proposes a composite form of fuzzy adaptive control plan based on a robust observer. The fuzzy 2D control gains are regulated by the parameters in the LMIs. Then, control and learning performance indices with weight matrices are constructed as the cost functions, which allows the regulation of the trade-off between the two performance by setting appropriate weight matrices. The design of 2D control gains is equivalent to the LMIs-constrained multi-objective optimization problem under dual performance indices. By using this proposed smart tracking design via fuzzy nonlinear criterion, the data link can be further extended. To evaluate the performance of the controller, the proposed controller was compared with other control technologies. This ensures the execution of the control program used to track position and trajectory in the presence of great model uncertainty and external disturbances. The performance of monitoring and control is verified by quantitative analysis. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

• 유통과학연구
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• 제22권4호
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• pp.69-77
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• 2024

Purpose: This paper aims to tackle the challenges and opportunities of cities' response to COVID-19 and provide cities with policy implications for better adapting to the post-pandemic era. Cities around the world are facing new challenges and have had to adapt to maintain social distancing measures while also addressing equity and social inclusion issues. Research design, data and methodology: The research methodology relies on an examination of existing literature, coupled with trend analysis employing discourse analysis to investigate post-pandemic urban resilience. The article also attempts to employ the concepts of adaptive urbanism and spatial flexibility and their potential to address these challenges not only in response to the pandemic, but also in the long-term. Results: The article explores the impact of COVID-19 on urban spatial structure through a public health lens and proposes actions that cities are able to take to enhance their resilience in the aftermath of the pandemic. Conclusions: It underscores the significance of reconstructing with improved distribution dynamics and provides valuable guidance for companies and policymakers on navigating these challenges. Ultimately, it also suggests that the pandemic has initiated a worldwide restructuring of urban planning, potentially leading to the emergence of smart cities grounded in science and technology.

• 한국의학물리학회지:의학물리
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• 제30권4호
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• pp.104-111
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• 2019

Purpose: Online magnetic resonance-guided adaptive radiotherapy (MRgART), an emerging technique, is used to address the change in anatomical structures, such as treatment target region, during the treatment period. However, the electron density map used for dose calculation differs from that for daily treatment, owing to the variation in organ location and, notably, air pockets. In this study, we evaluate the dosimetric effect of electron density override on air pockets during online ART for pancreatic cancer cases. Methods: Five pancreatic cancer patients, who were treated with MRgART at the Seoul National University Hospital, were enrolled in the study. Intensity modulated radiation therapy plans were generated for each patient with 60Co beams on a ViewrayTM system, with a 45 Gy prescription dose for stereotactic body radiation therapy. During the treatment, the electron density map was modified based on the daily MR image. We recalculated the dose distribution on the plan, and the dosimetric parameters were obtained from the dose volume histograms of the planning target volume (PTV) and organs at risk. Results: The average dose difference in the PTV was 0.86Gy, and the observed difference at the maximum dose was up to 2.07 Gy. The variation in air pockets during treatment resulted in an under- or overdose in the PTV. Conclusions: We recommend the re-contouring of the air pockets to deliver an accurate radiation dose to the target in MRgART, even though it is a time-consuming method.