• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 추계 학술발표회
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• pp.712-721
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• 2010

Our country is composed of about 70% mountain district. Therefore the tunnel and the bridge are used plentifully in the road. The bridge the establishment location of the pier according to ground condition and the route is executed from various condition. this study leads and stability investigation and reinforcement instance there is a goal which presents an example about investigation.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2004년도 춘계 학술발표회 제16권1호
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• pp.264-267
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• 2004

It is well known that axial tension decreases the shear strength of RC beams without transverse reinforcement, and axial compression increases the shear resistance. What is perhaps not very well understood is how much the shear capacity is influenced by axial load. RC beams without shear reinforcement subjected to large axial compression and shear may fail in a very brittle manner at the instance of first diagonal cracking. As a result, a conservative approach should be used for such members. According to the ACI Code, the concrete contribution is calculated by effect of axial force and the vertical force in the stirrups calculated by $45^{\circ}$ truss model. This study was performed to examine the effect of axial force in reinforced concrete beams.

• 한국구조물진단유지관리공학회 논문집
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• 제3권2호
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• pp.155-160
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• 1999

Recently, the study on mix design of lightweight concrete using the polystyrene foam balls is put into practice from the viewpoint to grade up the quality of concrete and recyclable usage of industrial by products. Polystyrene aggregate concrete, PAC, can be used as structural concrete in low strength application. For instance, PAC could be used in the middle part of sandwich panel where stresses are generally low and in the case of grid-type reinforcement where it does not need high bond strength but little compressive strength to resist the pressure of transverse reinforcement. From this point of view, the authors discussed the influence of fluidity and compressive strength of concrete by the difference of the volume percentage of polystyrene foam balls and water cement ratio.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.1-10
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• 2020

The image analysis is an important and predominant task for classifying the different parts of the image. The analysis of complex image analysis like histopathological define a crucial factor in oncology due to its ability to help pathologists for interpretation of images and therefore various feature extraction techniques have been evolved from time to time for such analysis. Although deep reinforcement learning is a new and emerging technique but very less effort has been made to compare the deep learning and deep reinforcement learning for image analysis. The paper highlights how both techniques differ in feature extraction from complex images and discusses the potential pros and cons. The use of Convolution Neural Network (CNN) in image segmentation, detection and diagnosis of tumour, feature extraction is important but there are several challenges that need to be overcome before Deep Learning can be applied to digital pathology. The one being is the availability of sufficient training examples for medical image datasets, feature extraction from whole area of the image, ground truth localized annotations, adversarial effects of input representations and extremely large size of the digital pathological slides (in gigabytes).Even though formulating Histopathological Image Analysis (HIA) as Multi Instance Learning (MIL) problem is a remarkable step where histopathological image is divided into high resolution patches to make predictions for the patch and then combining them for overall slide predictions but it suffers from loss of contextual and spatial information. In such cases the deep reinforcement learning techniques can be used to learn feature from the limited data without losing contextual and spatial information.

• 터널과지하공간
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• 제29권6호
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• pp.508-522
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• 2019

비탈면의 붕괴로 인해 재산피해뿐만 아니라 인명피해 또한 발생할 수 있으므로 안정성 평가를 통해 비탈면의 붕괴여부 예측 및 보강을 진행해야 한다. 본 논문은 비탈면 영상에서 암반 절리군, 암반 단층, 토양, 비탈면 누수영역 등 비탈면 붕괴와 관련하여 특성화 시킬 수 있는 지반 영역들을 정의하고 이를 딥러닝 기법을 통해 자동으로 분류해 낼 수 있는 방법에 대해 고찰하였다. 이에 따라 딥러닝 객체 영역분할(Instance segmentation) 네트워크를 활용하여 영상에 보여지는 다른 특성을 갖는 지반영역의 정확한 형상을 인식하고 자동 분할 할 수 있음을 보였으며, 향후 비탈면 안정성 평가를 위해 시행되는 비탈면 매핑 작업을 지원하고, 비탈면 보강 대책 등 의사결정에 필요한 비탈면의 지반특성 정보를 자동으로 산출할 수 있는 가능성을 보였다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.226-234
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• 2024

The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계 학술발표회 논문집(II)
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• pp.237-240
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• 2006

The corrosion of steel reinforcing bar has been the major cause of the reinforced concrete deterioration. GFRP(Glass Fiber-Reinforced Polymer) reinforcing bar has emerged as one of the most promising and affordable solutions to the corrosion problems of steel reinforcement in structural concrete. However, GFRP rebar is prone to deteriorate due to other degradation mechanisms than those for steel. The high alkalinity of concrete, for instance, is a possible degradation source. This paper presents the long-term deterioration of the GFRP rebar under alkali environmental condition.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2004년도 춘계학술발표회
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• pp.614-621
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• 2004

Blasting is a technique for rock excavation: For instance, a rock cutting in a mountain side to prepare a base for a road. The blasting damage affect the rock slope stability. Therefore control blasting must be used. In this study, cutting cases of Sixty-nine rock blasts were investigated. Blasting damage patterns in rock slope and reinforcement methods are studied.

• 한국농공학회지
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• 제44권2호
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• pp.127-135
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• 2002

Due to the fact that the design of a reinforced concrete structure changes in accordance with its shape and assigned load, total automation of the design system has not been achieved. For instance, since there is no general rule about setting up reinforcing steel quantity and arrangement location, it is simply not feasible to automatically decide the reinforcing arrangement location. In this study, the ESO(evolutionary structural optimization) technique and its related issues will be discussed. The ESO techniques is determined the reasonable load path which is traveling of load between in-flow and out-flow at a concrete structure using numerical analysis. And the results applied to the steel arrangement in reinforced concrete structures. The optimal algorithm, which determines the terminal criteria during ESO process, has been updated by using the obtained results. And the load path within the member has been determined automatically.

• 보건행정학회지
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• 제32권4호
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• pp.345-346
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• 2022

2022 was a time when the global healthcare system was challenged and has grown in response to the coronavirus disease 2019 pandemic. In addition, various issues accumulated in the process of quantitative growth have emerged in the Korean healthcare system. For instance, problems of sustainability in health insurance finances and removing bubbles from excessive medical utilization should be urgently resolved as tasks that occurred in the process of expanding the coverage of the health insurance system. The deficit of applicants for the pediatrician residency program suggests that expanding health insurance coverage alone has limitations in providing essential medical services. There is a need to incentivize doctors who provide essential medical care services. In 2023, we hope that efforts to enhance and internally reinforce the healthcare system will be concentrated.