• Composites Research
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• v.35 no.6
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• pp.463-468
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• 2022

The high porosity of the infill pattern of carbon chopped fiber-reinforced Nylon composite structures fabricated by the fused filament fabrication (FFF) type 3D printers determines the mechanical performance of the printed structures. This study experimentally evaluated the mechanical performance of Onyx composite specimens fabricated with a rectangular infill structure under the hot-pressing condition to improve the mechanical properties by reducing the porosity of the infill pattern of the printed structure, and evaluated the best mechanical performance. The hot-pressing conditions (145℃, 4 MPa, 12 min) that induce the most appropriate mechanical properties were found. As a result of microscopic observation, it was confirmed that the infill porosity of the composite specimens subjected to post hot-pressing treatment was effectively reduced. In order to confirm the mechanical performance of the post-treated specimen, a tensile test and a three-point bending test were performed with a control specimen without post-treatment and a specimen printed with the same density and dimensions after post-treatment to evaluate the mechanical properties. As a result of comparison, it was confirmed that the mechanical properties were effectively improved when the post-treatment of hot-pressing was performed.

• Journal of Aerospace System Engineering
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• v.17 no.1
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• pp.10-15
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• 2023

Wet multi-disk clutch, a power switching device of the ducted fan, was optimized and results were analyzed. The clutch was divided into two types depending on whether a mechanical lock-up was applied or not. It was optimized under each design condition. Transfer torque capacity, friction material surface pressure, friction surface temperature, and drag torque were calculated as factors to optimize the clutch. The volume of separator plate and drag torque were used as the objective function for optimization. In the case of Type 1, which did not include a mechanical lock-up, the clutch could be operated regardless of the pitch angle of the ducted fan. However, the outer diameter of the friction surface was doubled, the volume was increased by 5~7 times, and the drag torque was increased by 7~12 times compared to those of Type 2, which included a mechanical lock-up.

• Journal of the Korea Society for Simulation
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• v.19 no.3
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• pp.109-117
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• 2010

In this study, we consider stationary waiting times in a simple fork-and-join type queue which consists of three single-server machines, Machine 1, Machine 2, and Assembly Machine. We assume that the queue has a renewal arrival process and that independent service times at each node are either deterministic or non-overlapping. We also assume that the Machines 1 and 2 have an infinite buffer capacity whereas the Assembly Machine has two finite buffers, one for each machine. Services at each machine are given by FIFO service discipline and a communication blocking policy. We derive the explicit expressions for stationary waiting times at all nodes as a function of finite buffer capacities by using (max,+)-algebra. Various characteristics of stationary waiting times such as mean, higher moments, and tail probability can be computed from these expressions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.67-72
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• 2008

Heavy equipment is a very important factor for successful construction implementation. Also, the cost for heavy equipment is a major part of construction cost. Therefore, the estimation of equipment cost is a critical job in the construction planning phase. A formula for production rates shown in 'Standard Unit Labor' has been used to estimate construction equipment capability per hour and cost. Although the performance of equipment has been improved, the efficiency rates in the formula are not updated lately. Therefore, this research performed several site visits to measure construction equipment working time and then calculates the efficiency rates for hydraulic backhoe, loader, and dump truck. The results show that the measured efficiencies of backhoe and loader are higher than current ones and vice versa for dump truck. This research proposes the needs for a standardized calculation formula and systematic and long-term data collection and measurement for updating efficiency rates for heavy equipment.

• Journal of Hydrogen and New Energy
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• v.35 no.2
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• pp.240-248
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• 2024

The purpose of this study is to investigate the freezing phenomena in printed circuit heat exchanger (PCHE) for cryogenic liquid hydrogen vaporizer. Local freezing phenomena in hot channels should be avoided in designing PCHE for cryogenic liquid hydrogen vaporizer. Hence, the flow and thermal characteristics of PCHE is experimentally investigated to figure out the conditions under when freezing occurs. To conduct lab-scale PCHE experiment, liquid nitrogen is used as a working fluid in cold channels instead of using liquid hydrogen. Glycol water is used as a working fluid in hot channels. Based on the experimental data, ratio between mass flow rates of cold channels and that of hot channels is proposed as contour map to avoid the freezing phenomena in PCHE.

• Journal of the Korea Organic Resources Recycling Association
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• v.17 no.3
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• pp.82-90
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• 2009

Disintegration of sewage sludge (SS) was investigated by batch experiments using mechanical pre-treatment. Mechanical disintegration of SS increased the amount of soluble chemical oxygen demand (SCOD), protein and carbohydrate due to the break-up of cell walls. The mechanical disintegration incorporated with alkaline pre-treatment demonstrated higher amount of SCOD compared with mechanical one only. In terms of anaerobic biodegradability, mechanical pretreatment enhanced the anaerobic biodegradation of SS, leading to the methane production improvement. The improvement in BMP for SS treated with mechanical and alkaline-mechanical pre-treatments were 24.1% and 44.5%, respectively. This result suggested that disintegration of SS was effective for improving anaerobic biodegradability.

• Proceedings of The KACE
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• 2017.08a
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• pp.209-211
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• 2017

기계학습은 인공지능(AI, Artificial Intelligence)의 일종으로 다른 인공지능 알고리즘이 정해진 규칙을 기반으로 주어진 임무(Task)를 해결하는 것과는 달리, 기계학습은 수집된 Data를 기반으로 최적의 솔루션을 학습한 후 미래의 값들을 예측하거나 해석하는 방법을 사용하고 있다. 더욱이 인터넷을 통한 연결성의 확대와 컴퓨터의 연산능력 발전으로 가능하게 된 Big-Data를 기반으로 하고 있어 이전의 인공지능 알고리즘에 비해 월등한 성능을 보여주고 있다. 그러나 기계학습 알고리즘이 Data를 학습할 때 학습 결과를 사람이 해석하기에 너무 복잡하여 사람이 그 내부 구조를 이해하는 것은 사실상 불가능하고, 이에 따라 학습된 기계학습 모델의 단점 또는 한계 등을 알지 못하는 문제가 있다. 본 연구에서는 이러한 블랙박스화된 기계학습 알고리즘의 특성을 이해하기 위해, 기계학습 알고리즘이 특정 입력에 대한 결과를 예측할 때 어떤 입력들로 부터 영향을 많이 받는지 그리고 어떤 입력으로부터 영향을 적게 받는지를 알아보는 방법을 소개하고 기존 연구의 단점을 개선하기 위한 방법을 제시한다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1093-1101
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• 2009

Quantile regression has become a more widely used technique to describe the distribution of a response variable given a set of explanatory variables. This paper proposes a novel modelfor quantile regression using doubly penalized kernel machine with support vector machine iteratively reweighted least squares (SVM-IRWLS). To make inference about the shape of a population distribution, the widely popularregression, would be inadequate, if the distribution is not approximately Gaussian. We present a likelihood-based approach to the estimation of the regression quantiles that uses the asymmetric Laplace density.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.281-288
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• 2020

This study delves into acceptance on neural network machine translation (NMT) such as Google Translate and Papago that uses technical acceptance model. In conclusion, it turned out that perceived usefulness impacts translators' attitude towards NMT. In other words, if translators determine that NMT is related to their work and the quality of the deliverables is guaranteed, they were more positive towards it. Unlike the existing normative approach that translators feel threatened by NMT, empirical results tell us translators perceive NMT as a business tool and such perception was largely influenced by advices of their colleagues and friends and expectations for use.

• The Optical Journal
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• s.158
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• pp.58-60
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• 2015

드론이 인기다. 드론이 뜨고 있다. 드론은 왜 인기인가? 왜 드론이 인기인지를 인식해보아야 한다. 결론부터 이야기하면 드론이 인기인 이유는 드론이 MMM이기 때문이다. MMM은 필자가 2년 전 쯤에 만든 신조어로 Multipurpose Mobile Machine의 약자다. 다목적 이동 기계라는 말이다. 우리말로 줄이면 다이기(多移機)쯤 된다. 드론은 다목적 이동 기계, 즉 다이기이다. 인터넷이 군용으로 사용되다가 민간이 사용하게 된 것처럼 드론 역시 정찰, 감시, 폭격 등의 군사용으로 출발했지만, 민간이 사용하는 드론의 용도는 무척 다양하다. 사진 촬영, 영화 제작, 드라마 촬영, 음식 배달, 씨앗의 파종과 농약의 살포, 현장 탐사, 경계 근무 등 정말 다용도에 사용되고 있다. 중요한 것은 드론 각각이 다목적으로 사용될 수 있다는 것이다. 이는 드론이 단지 물리적 기계인 것이 아니라 스마트 기계로, 스마트폰과 같은 SW중심 기기와 드론에 내장된 OS와 SW에 의한 제어를 통해 비로소 실현된다. 즉, 드론은 MMM이기도 하지만, 정확히 SMM(Smart Mobile Machine)이기 때문에 그 잠재성이 인정받고 있는 것이다. 지금까지 스마트 폰, 스마트 워치, 스마트 TV 등은 모두 스마트 기기이기는 하지만 스마트 이동 기기는 아니다. 한편, 로봇 청소기 등 기존의 가정용 로봇이나 산업용 로봇은 대부분 단일목적 이동기기이거나 다목적 고정 기계이므로, 로봇이라 부르기가 민망한 기계들이었다. 필자는 드론이 이렇듯 새로운 스마트 기기 산업과 기존의 로봇 산업이 갈 길 또는 가고 있는 길을 보여주고 있다는 점에서 관심을 갖는다. 스마트 기기 산업의 관점에서는 이제 비로소 고정형(스마트TV), 부착형(스마트 워치), 휴대형(스마트 폰) 스마트 기기 산업에서 다목적 스마트 이동 기계라는 새로운 블루 오션 창출 산업이기에 의미가 있다.