• Elastomers and Composites
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• v.35 no.2
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• pp.98-105
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• 2000

Using FT-IR and contact angle measurements it is observed that the chemical surface treatments on virgin carbon blacks lead to a change of the surface properties, including surface functionality and surface free energy It is found that the developments of surface functional groups on acidically and basically treated (ACB and BCB in this study, respectively) carbon blacks are largely correlated with the specific component of surface free energy of the carbon blacks. However, a significant advantage of compounding composites is gained by BCB or NCB (nonpolar chemical treatment) specimens, resulting in improving the hardness, elongation at break, and tensile strength. Particularly, it is seen that the tensile strength of the composites are greatly depended on the London dispersive component of surface free energy determined from the contact angle measurements. It is then concluded that the London dispersion component of carbon blacks plays an important role in an organic rubbers-based compounding composite system.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.281-290
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• 2020

The Vision-and-Language Navigation(VLN) task is a complex intelligence problem that requires both visual and language comprehension skills. In this paper, we propose a new learning model for visual-language navigation agents. The model adopts a hybrid learning that combines imitation learning based on demo data and reinforcement learning based on action reward. Therefore, this model can meet both problems of imitation learning that can be biased to the demo data and reinforcement learning with relatively low data efficiency. In addition, the proposed model uses a novel path-based reward function designed to solve the problem of existing goal-based reward functions. In this paper, we demonstrate the high performance of the proposed model through various experiments using both Matterport3D simulation environment and R2R benchmark dataset.

• Composites Research
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• v.34 no.4
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• pp.212-225
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• 2021

Metal matrix composites (MMCs) were widely used in various industries, due to the excellent properties: high strength, stiffness, wear resistance, hardness, thermal conductivity, electrical conductivity, etc. With additive manufacturing (AM) technology rapidly developed, AM MMCs have been actively investigated thanks to the cost- and time-saving manufacturing. However, several issues still need to be addressed before fabricating AM MMCs. Here, several types of MMCs were introduced and MMCs' design methods to tackle the issues were suggested in a powder bed fusion (PBF) technique. The paper could come up with a guideline for the material and process design of MMCs in the PBF technique.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.19-19
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• 2012

최근 산업환경 변화에 순응하는 환경 친화적 소재를 사용하여 자동차, 선박, 철도 등 수송용 인테리어 내장재를 구성하는 기술로서, 난연성 및 기계적 물성 유지 기술, 그리고 실내 쾌적감을 부여하기 위한 감성기술 및 심미적 요소를 부여하는 디자인 기술이 가미된 복합 기능화 기술개발이 구되고 있다. 기존의 자동차용 시트 제품은 대부분 PU Foam을 시트원단에 불꽃으로 Lamination 하는 방식으로 제조되었으며, 이러한 제조 방식은 많은 공정을 거치게 되고 PU Foam을 제조하는 공정 및 불꽃으로 Lamination 하는 공정에서 많은 환경유해가스가 발생하는 등 환경적으로도 많은 문제점을 감수하면서 생산하는 방식이다. 또한 각종 원단의 표피재로 많이 사용되고 있는 PU와 PVC의 경우 제조과정에서 용제와 가소제 사용 등으로 인해 환경적으로 많은 문제점이 있으며, 이를 대체하기 위한 노력이 많은 부분에서 이루어지고 있지만, 마땅히 대체할 소재를 찾지 못하고 있는 실정이다. 본 연구에서 제안하는 실리콘수지는 기존의 PU와 PVC를 대체할 수 있는 소재로서 각광받고 있으며, 응용기술 개발을 통해 충분히 적용이 가능한 소재라고 판단된다. 본 연구에서 개발하고자 하는 기술은 난연성을 가진 실리콘 내장 표피재에 불꽃으로 Lamination하는 공정을 배제한 친환경 PUD Foam을 바로 Back Coating함으로써 일체형 고 기능 친환경 제품을 개발함으로써 친환경 복합화 기술 및 SEAT 원단과 표피재의 일체형 모듈화 공법개발을 이루고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.4
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• pp.118-125
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• 2014

As the earth's current global warming has caused elevation of sea water temperature, size of storms is foreseen to increase and consequently large damages on port facilities are to be expected. In addition, due to the improved processing efficiency of port cargo volume and increasing necessity for construction of eco-friendly port, demands for various forms of port facilities are anticipated. In this study, two kinds of nondestructive evaluation (NDE) techniques (rebound hardness and ultrasonic pulse velocity methods) are investigated for the effective maintenance of smart green harbor system. A new methodology to estimate the underwater concrete strengths is proposed and its feasibility is verified throughout a series of experimental works.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.12
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• pp.987-995
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• 2016

In this study, the effects of shot peening (SP) on the Vickers hardness of $ZrO_2$ were studied. The size of the shot balls were ${\phi}180{\mu}m$ and ${\phi}300{\mu}m$. The Vickers hardness was measured using an indentation load of 98 N and 294 N. The Vickers hardness was evaluated using Weibull statistical analysis. The scale parameters were significantly evident from the indentation load of 98 N and the shot ball of ${\phi}180 {\mu}m$. Generally, the shape parameters were also evident from the small short ball (180sp). Thus, it is shown that the introduction of a compressive residual stress by SP is an effective technique for increasing the mechanical properties of $ZrO_2$.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.77-83
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• 2021

The purpose of this study was to determine whether the convergence pulmonary function of the 20s men of mild intellectual disabilities with obesity to tredmill exercise. Ten subjects of mild intellectual disabilities with obesity(experimentals) and ten contrary subjects(controls) were participated in the experiment. experimental group conducted treadmill gait training and control group conducted automed exercise. Subjects were assessed for their respiratory function by using Fit mate. The result of the experiments showed high pulmonary function than the controls. Thus, it suggests that the respiratory functional data of 20s men of mild intellectual disabilities with obesity can be used as a various respiratory one for the exercise programs in the area.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.15-20
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• 2024

Path planning for unmanned aerial vehicles (UAV) is crucial in avoiding collisions with obstacles in complex environments that include both static and dynamic obstacles. Path planning algorithms like RRT and A^* are effectively handle static obstacle avoidance but have limitations with increasing computational complexity in high-dimensional environments. Reinforcement learning-based algorithms can accommodate complex environments, but like traditional path planning algorithms, they struggle with training complexity and convergence in higher-dimensional environment. In this paper, we proposed a reinforcement learning model utilizing a cell decomposition algorithm. The proposed model reduces the complexity of the environment by decomposing the learning environment in detail, and improves the obstacle avoidance performance by establishing the valid action of the agent. This solves the exploration problem of reinforcement learning and improves the convergence of learning. Simulation results show that the proposed model improves learning speed and efficient path planning compared to reinforcement learning models in general environments.

• Journal of the korean academy of Pediatric Dentistry
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• v.43 no.4
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• pp.427-434
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• 2016

The aim of this study was to compare the mechanical properties of high viscosity bulk-fill resin composites, $Filtek^{TM}$ Bulk Fill Posterior Restorative (FBF) and $Tetric^{(R)}$ N-Ceram Bulk Fill (TBF), with conventional composite ($Filtek^{TM}$ Z-350 XT, Z-350). The Vickers hardness test which indicates the degree of conversion was performed and the dye penetration test was performed to measure the microleakage which indicates polymerization shrinkage amount. To minimize experimental error, the standardized 3D-printed molds and the bovine teeth were used. Obtained data were analyzed by the Kruskal-Wallis test and Mann-Whitney test with the confidence interval of 95%. In the microhardness test within 1 hour of polymerization, lower surface of FBF and TBF showed significantly lower value than that of Z-350 (p < 0.05). But after 24 hours, the microhardness of FBF had increased and showed no significant difference with Z-350 (p > 0.05). In top and 2 mm depth surface, mean microhardness values were in the following order: Z-350 > FBF > TBF (p < 0.05). The mean microleakage value of TBF was significantly lower than others (p < 0.05). For clinical application of bulk-fill resin composites, caution for applying masticatory forces during 24 hours after polymerization is advised and further studies to decrease microleakage should be conducted.

• Journal of the Korean Society for Nondestructive Testing
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• v.27 no.4
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• pp.328-338
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• 2007

One of main advantages of composite using smart material as reinforcement can be controlled cracks behavior inside the composite. If the smart composite is applied as part of the structure, the use of the shape memory effect of the smart material is the best way to protect the propagation of cracks generated in the structure while use. In this study, the optical manufacturing conditions for the smart composite were derived. In order to evaluate the shape memory effect by shape memory alloy, the tensile load was applied to the smart composite and stress distribution was inspected. And then, the smart composite was heated to a certain temperature and the shape memory alloy would shrink to the original shape. Finally, at this point the recovering status of stress using photoelastic instrument was discussed.