• Journal of Korea Trade
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• v.26 no.7
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• pp.109-126
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• 2022

Purpose - Based on the relevant panel data for China and 13 of the RCEP countries from 2008-2019, this paper conducts an in-depth study on the impact of trade facilitation levels on China's cross-border e-commerce exports using the expanded trade gravity model. Design/methodology - This study constructs a trade facilitation index (TFI) system, and uses the principal component analysis method to measure the trade facilitation levels of RCEP countries in 2008-2019. This result is then introduced into the extended gravity model to explore the effect of trade facilitation in RCEP countries on China's cross-border e-commerce export. Findings - It is found that the overall trade facilitation level has a significant effect on China's cross-border e-commerce exports. Among the primary indicators, with the exception of infrastructure, the other four indicators demonstrate a significant impact. The findings show that China should strengthen its cooperation with RCEP countries in trade facilitation and cross-border e-commerce to better achieve complementary regional economic development. Originality/value - This paper has three contributions: first, this paper builds a TFI system that includes five primary indicators based on the characteristics of cross-border e-commerce. Second, we explore the impact of trade facilitation levels of RCEP countries on China's cross-border e-commerce exports, which helps to fill the gap in existing studies of the impact of cross-border e-commerce exports. Third, this paper further analyzes the impact of five primary indicators on cross-border e-commerce exports; this thus provides more targeted measures to improve trade facilitation levels.

• Composites Research
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• v.19 no.4
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• pp.23-30
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• 2006

In the development of a cryogenic propellant tank, the proper selection of adhesives to bond composite and metal liner is important for the safety of operation. In this study, 3 types of adhesives were tested for the ability to bond CFRP composites developed for cryogenic use and aluminum alloy (Al 6061-T6) for lining the tank using double-lap joint specimens. The double-lap joint specimens were tested inside an environmental chamber at room temperature and cryogenic temperature ($-150^{\circ}C$) respectively to compare the bond strength of each adhesive and fracture characteristics. The material properties with temperature of component materials of double-lap joints were measured. In addition, ABAQUS was used for the purpose of analyzing the experimental results.

• Journal of Environmental Science International
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• v.31 no.3
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• pp.285-289
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• 2022

This study investigated the effects of dietary Ptecticu tenebrifer powder and canned mixtures on protein digestibility by different breeds of companion dogs (15 Bichons, 15 Malteses, 15 Chihuahuas and 15 Poodles). The mixtures were divided into Diet A, Diet B, Diet C, Diet D, and Diet E, which were supplied from five farms. Twenty-five grams each was mixed with 100 g of each canned food, and a total of 125 g was measured for each breed of dog. The result of component analysis of the mixtures showed the highest protein contents rather than dry matter, crude ash or crude fat. There were statistical significances (p<0.05) in all mixed feeds fed to bichon, maltese, chihuahua and poodle dog. Overall, protein digestibility by the breeds of dog ranged from 87.44% to 97.18%. Result of breed of dog comparison revealed that Diet E by poodle dog had the highest protein digestibility, and the lowest protein digestibility was observed in Diet C by Maltese. In conclusion, the use of dietary Ptecticu tenebrifer powder and canned mixtures did not only increased protein digestibility by different breeds of dog but also maintained normal manure properties.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.2
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• pp.43-51
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• 2023

In this paper, we introduce the development trends of power devices which is the key component for power conversion system in electric vehicles, and discuss the characteristics of the next-generation wide-bandgap (WBG) power devices. We provide an overview of the characteristics of the present mainstream Si insulated gate bipolar transistor (IGBT) devices and technology roadmap of Si IGBT by different manufacturers. Next, recent progress and advantages of SiC metal-oxide-semiconductor field-effect transistor (MOSFET) which are the most important unipolar devices, is described compared with conventional Si IGBT. Furthermore, due to the limitations of the current GaN power device technology, the issues encountered in applying the power conversion module for electric vehicles were described.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1396-1412
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• 2023

Conversation modeling is an important and challenging task in the field of natural language processing because it is a key component promoting the development of automated humanmachine conversation. Most recent research concerning conversation modeling focuses only on the current utterance (considered as the current question) to generate a response, and thus fails to capture the conversation's logic from its beginning. Some studies concatenate the current question with previous conversation sentences and use it as input for response generation. Another approach is to use an encoder to store all previous utterances. Each time a new question is encountered, the encoder is updated and used to generate the response. Our approach in this paper differs from previous studies in that we explicitly separate the encoding of the question from the encoding of its context. This results in different encoding models for the question and the context, capturing the specificity of each. In this way, we have access to the entire context when generating the response. To this end, we propose a deep neural network-based model, called the Context Model, to encode previous utterances' information and combine it with the current question. This approach satisfies the need for context information while keeping the different roles of the current question and its context separate while generating a response. We investigate two approaches for representing the context: Long short-term memory and Convolutional neural network. Experiments show that our Context Model outperforms a baseline model on both ConvAI2 Dataset and a collected dataset of conversational English.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.329-329
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• 2021

우리나라의 농촌유역은 일반적으로 상류의 농업용저수지와 하류의 배수장을 통해 홍수조절이 이루어지며, 각 농업수리구조물의 운영이 유역의 홍수 및 침수 발생에 큰 영향을 끼친다. 농촌유역의 홍수 대응 능력을 향상시키기 위해서는 농업수리구조물의 통합적 운영이 필요하나 현실에서 이를 시험 운영하기 위해서는 시간적·경제적으로 한계가 있다. 따라서 농촌유역 내 농업수리구조물을 연계한 통합 해석 시스템을 활용하여 다양한 구조물 운영 시나리오에 따른 홍수 위험을 예측하고 효율적인 대응 방안을 마련할 필요가 있다. 본 연구에서는 농업수리구조물을 연계한 홍수·침수 모의 시스템을 구축하기 위하여, 농촌유역에서 홍수·침수 모의를 위한 요소별 모듈을 구성하고, 각 모듈의 연계 기술을 개발하였다. 홍수·침수 해석 모듈은 농업용저수지 상류 유역에서부터 하류 하천 및 농경지까지 통합적으로 분석할 수 있도록 강우 분석 모듈, 강우-유출 모듈, 저수지 운영 모듈, 하천 수위 모듈, 농경지 배수 모듈의 5가지로 구성하였으며, 데이터베이스 모듈을 통해 기초자료를 저장하고 모듈 간의 입출력 과정을 처리하였다. 강우 분석, 강우-유출, 농경지 배수 모듈은 python 코드를 기반으로 자체적으로 구축하였으며, 기존의 모형 (FARD, HEC-HMS, GATE2018)들과 비교한 결과 거의 동일한 모의 결과를 나타냈다. 저수지 운영 모듈과 하천 수위 모듈은 각각 미 공병단의 HEC-5, HEC-RAS 모형을 CLI (Command Line Interface) 방식으로 외부 구동하도록 구성하였다. 전체 모듈 간의 연계에는 python 라이브러리인 Dask를 적용하여 대량의 데이터에 대한 병렬 처리 구조를 갖춤으로써 다양한 기상자료와 운영 시나리오에 따른 반복 작업을 효율적으로 수행하도록 구성하였다. 본 연구에서 개발한 홍수·침수 모의 요소별 모듈과 연계 기술을 기반으로, 농업수리구조물의 연계 운영을 통합적으로 모의함으로써 홍수 대비를 위한 효율적인 구조물 운영안을 도출할 수 있을 것으로 기대된다.

• Journal of Powder Materials
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• v.30 no.3
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• pp.268-275
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• 2023

The demand for energy is steadily rising because of rapid population growth and improvements in living standards. Consequently, extensive research is being conducted worldwide to enhance the energy supply. Transpiration power generation technology utilizes the vast availability of water, which encompasses more than 70% of the Earth's surface, offering the unique advantage of minimal temporal and spatial constraints over other forms of power generation. Various principles are involved in water-based energy harvesting. In this study, we focused on explaining the generation of energy through the streaming potential within the generator component. The generator was fabricated using sugar cubes, PDMS, carbon black, CTAB, and DI water. In addition, a straightforward and rapid manufacturing method for the generator was proposed. The PDMS generator developed in this study exhibits high performance with a voltage of 29.6 mV and a current of 8.29 µA and can generate power for over 40h. This study contributes to the future development of generators that can achieve high performance and long-term power generation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.557-560
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• 2020

최근, 광소자에서 공간 변조되는 wavefront profile 특성을 광소자의 표면 단차 변화 없이 단일 두께 박막 상에서 자유로이 구현할 수 있는 기하위상 홀로그램 (geometric phase hologram) 기반의 optical component에 대한 관심이 증대되고 있다. 특히 이를 이용해 제작된 기하위상 렌즈 (geometric phase lens)는 dynamic phase의 공간적 차이에 의해 구현되던 기존 bulk optics 기반의 lens 대비 초박형으로 제작이 가능한 파장 선택적 flat optics 기술로써, 다초점 및 경량화를 요구하는 차세대 디스플레이 기술 (augmented reality 또는 AR, mixed reality 또는 MR) 및 광파변조 및 제어를 요구하는 홀로그래픽 카메라 분야에 대한 응용처로 많은 주목을 받고 있다. 이에 본 논문에서는 해당 기하 위상렌즈에 대한 원리 및 이에 따른 개발이슈 및 해결법에 대해 연구 하였으며, 이에 대한 응용처로 기하위상 렌즈의 편광에 따른 이중초점특성을 이용해, 기존 단일 초점 형성이 가능한 AR기기 대비, 다초점 형성이 가능한 switchable dual-depth 3D AR device를 compact한 모듈과 함께 구현하였다. 또한, 기하위상렌즈의 광파 변조 및 분리특성을 이용한 기하위상 렌즈기반의 자가간섭 홀로그래픽 시스템(GP-self-interference incoherent digital holographic, GP-SIDH)에 편광 이미지센서 적용과 함께 맞춤형 설계/제작된 기하 위상렌즈를 적용함으로써, 기존 GP-SIDH 시스템대비 안정적으로 실시간 복소 홀로그램 획득이 가능한 실시간 공간영상정보 획득용 GP-SIDH을 동영상 프레임으로 구현하였다.

• Elastomers and Composites
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• v.37 no.4
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• pp.211-216
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• 2002

The polymer-polymer interaction parameter, x 23t, of the styrene-butadiene polymer (SBR) and ethylene-propylene-diene terpolymer (EPDM) was investigated by observing the phase behavior of the ternary system of SBR/EPDM/solvent. The solvent used in this study was benzene acting as a good solvent for SBR but as a poor solvent for EPDM. Ternary solutions with various concentrations and mixing ratios of the two component polymers were separated into two phases by temperature change The cloud point curves (CPC) showed that the differerence of solvent affinities toward each polymer and the repulsive interaction between two polymers considerably affect the shape of CPC near 15℃. In the temperature range of 5℃ ~ 25℃, incompatible behaviours arised from both the difference of mixing ratios and concentration were clearly observed. Also the phase separation temperature greatly influenced on the composition of each separated phase. The calculated x 23t values from Flory-Huggins theory were in the range of 0.6301 ~ 1.0775, which suggest that the SBR/EPDM systems are incompatible.

• Analytical Science and Technology
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• v.22 no.1
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• pp.57-64
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• 2009

A material database has been developed for VOCs and formaldehyde emitted from building materials in this study. New classification system has been made by correlating the classification methods used in Korean Air Cleaning and Environmental Protection Agency. The developed databases include emission rates of TVOC, 5VOC and formaldehyde emitted from each building material. In addition, the databases can be used as an input variable to estimate indoor air quality (IAQ) using computer simulation since they also contain chemical component and general imformation. Box plot was used to do statistical analysis for emission rates of formaldehyde and TVOCs from different types of building materials. Also we confirmed the building materials worsening IAQ by categorizing the emission characteristic of different types of pollutants.