• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제2권2호
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• pp.108-113
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• 2021

Detrimental effects of inbreeding have been studied by many researchers for a long time. However, only a few studies have shown the occurrence of inbreeding depression due to evolutionary changes as a purging process. In this study, two different populations (inbreeding and outbreeding) of Drosophila melanogaster were compared to assess inbreeding effects on artificial population bottlenecks. For inbreeding conditions, a couple of D. melanogaster (one virgin and one male) were selected from an inbred population and cultured in a vial. For outbreeding conditions, a couple of D. melanogaster were selected from different populations and cultured in a vial. There were significant differences in body lengths of adults, but not in other parameters such as the total number of adults, the rate of survival, and the rate of wing mutants. The mean body length of adults of outbreeding populations was longer than that of inbreeding populations in the first generation (G1; P = 0.004), but not in the second generation (G2; P = 0.066). Although the other three parameters (total number of adults, rate of survival, and rate of wing mutants) showed differences in their mean values between inbreeding and outbreeding populations, these differences were not statistically significant. This might be due to genetic purging. This study demonstrated one additional experimental case related to inbreeding depression in artificial bottlenecked populations. Further studies are necessary to confirm the clear interaction between inbreeding depression and genetic purging using more generations and replicates (or samples) of D. melanogaster.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.75-81
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• 2023

In this study, we design an optimized Graphics Processing Unit (GPU)-based GNSS signal processing technique with the goal of designing and implementing a GNSS Software Defined Receiver (SDR) that can operate in real time all-in-view mode under multi-constellation and multi-frequency signal environment. In the proposed structure the correlators of the existing GNSS SDR are processed by the GPU. We designed a memory structure and processing method that can minimize memory access bottlenecks and optimize the GPU memory resource distribution. The designed GNSS SDR can select and operate only the desired GNSS or desired satellite signals by user input. Also, parameters such as the number of quantization bits, sampling rate, and number of signal tracking arms can be selected. The computing capability of the designed GPU-based GNSS SDR was evaluated and it was confirmed that up to 2400 channels can be processed in real time. As a result, the GPU-based GNSS SDR has sufficient performance to operate in real-time all-in-view mode. In future studies, it will be used for more diverse GNSS signal processing and will be applied to multipath effect analysis using more tracking arms.

• 한국전기전자재료학회논문지
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• 제36권5호
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• pp.525-530
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• 2023

Stretchable piezoelectric energy harvester (S-PEHs) based on composite materials are considered one of the potential candidates for realizing wearable self-powered devices for smart clothing and electronic skin. However, low energy conversion performance and expensive stretchable electrodes are major bottlenecks hindering the development and application of S-PEHs. Here, we fabricated the S-PEH by adopting the piezoelectric composites with enhanced stress transfer properties and kirigami-patterned textile electrodes. The optimum contents of piezoelectric BaTiO₃ nanoparticles inside the carbon nanotube/ecoflex composite were selected as 30 wt% considering the trade-off between stretchability and energy harvesting performance of the device. The final S-PEH shows an output voltage and mechanical stability of ~5 V and ~3,000 cycles under repeated 150% of tensile strain, respectively. This work presents a cost-effective and scalable way to fabricate stretchable piezoelectric devices for self-powered wearable electronic systems.

• 한국재료학회지
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• 제33권2호
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• pp.29-46
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• 2023

The electrochemical reduction of carbon dioxide (CO₂) to value-added products is a remarkable approach for mitigating CO₂ emissions caused by the excessive consumption of fossil fuels. However, achieving the electrocatalytic reduction of CO₂ still faces some bottlenecks, including the large overpotential, undesirable selectivity, and slow electron transfer kinetics. Various electrocatalysts including metals, metals oxides, alloys, and single-atom catalysts have been widely researched to suppress HER performance, reduce overpotential and enhance the selectivity of CO₂RR over the last few decades. Among them, single-atom catalysts (SACs) have attracted a great deal of interest because of their advantages over traditional electrocatalysts such as maximized atomic utilization, tunable coordination environments and unique electronic structures. Herein, we discuss the mechanisms involved in the electroreduction of CO₂ to carbon monoxide (CO) and the fundamental concepts related to electrocatalysis. Then, we present an overview of recent advances in the design of high-performance noble and non-noble singleatom catalysts for the CO₂ reduction reaction.

• 마이크로전자및패키징학회지
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• 제30권3호
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• pp.11-19
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• 2023

최근 Chat GPT와 같은 인공지능 (Artificial Intelligence, AI) 기술의 급격한 발전에 따라 AI 반도체의 중요성이 강조되고 있다. AI 기술은 빅데이터 처리, 딥 러닝, 알고리즘 등의 요구사항으로 인해 대용량 데이터를 빠르게 처리할 수 있는 능력을 필요로 한다. 그러나 AI 반도체는 대규모 데이터를 처리하는 과정에서 과도한 전력 소비와 데이터 병목현상 문제가 발생한다. 반도체 전공정의 초미세공정이 물리적 한계에 도달함에 따라, AI 반도체의 연산을 위한 최신 패키징 기술이 요구되는 추세이다. 본 고에서는 AI 반도체에 적용가능한 인터포저, TSV, 범핑, Chiplet, 하이브리드 본딩 패키징 기술에 대해서 기술하였다. 이러한 기술들은 AI 반도체의 전력 효율과 연산 속도를 향상시키는데 기여할 것으로 기대된다.

• 한국해양공학회지
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• 제37권5호
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• pp.190-197
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• 2023

In the shipbuilding and marine industry, digital transformation activities are promoted primarily by large shipyards. However, bottlenecks are observed across value chains, and digital transformation effects are reducing because of the cost and technical challenges encountered by supplies. In this study, we proposed a win-win cooperation model for large, small, and medium-sized companies using digital transformation based on the characteristics of the shipbuilding and marine industry through case studies. We investigated the digital transformation progress in German and Korean small and medium-sized enterprises (SMEs). In addition, we identified information-sharing methods and management challenges encountered in enterprise resource planning and manufacturing execution systems in the collaboration process of pipes, panels, blocks, etc. of SMEs that are suppliers of a Korean shipyard, and clarified communication by building a platform based on a common format between shipyards and suppliers. Further, we proposed a standard model of a digital transformation system for enhancing the collaboration between large companies and suppliers and proposed a basic plan including strategies to efficiently and effectively build a digital transformation system based on the standard model.

• 무역학회지
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• 제47권6호
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• pp.269-289
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• 2022

The COVID-19 pandemic has disrupted supply chains across the world. When the pandemic broke out, the disruptions were mainly due to the lockdowns imposed in various countries. The WTO has predicted that the pandemic might cause world trade to decline by 13 to 32 per cent in 2020. This paper will examine the implications of COVID-19 on digital trade, particularly the use of blockchain in the Asia Pacific. The Asia Pacific (particularly Singapore and Hong Kong) is a leader in the use of digital technologies. This paper will thus attempt to draw out lessons from the first movers for the rest of Asia. It will examine the bottlenecks in the application of this technology in the Asia Pacific countries, and the need for regulatory changes in the Asia-Pacific. It will trace the technology's barriers to adoption, both as regards interoperability, and regulatory framework. The advantages of blockchain technology in trade finance are clear; it can promote trade efficiency, mitigate risk and expand trade to other regions. However, earlier efforts to introduce digital technologies have failed. More collaborative efforts are required, so that networks can connect seamlessly on a single technology platform, and meet the demand for trade finance. The COVID-19 pandemic seems to have provided an enabling environment for the intensification of digital efforts, increasing their urgency; should these measures indeed successfully occur, they will improve the resiliency of supply chains across the region.

• Journal of Veterinary Science
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• 제25권1호
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• pp.10.1-10.11
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• 2024

In livestock industry, there is growing interest in methods to increase the production efficiency of livestock to address food shortages, given the increasing global population. With the advancements in gene engineering technology, it is a valuable tool and has been intensively utilized in research specifically focused on human disease. In historically, this technology has been used with livestock to create human disease models or to produce recombinant proteins from their byproducts. However, in recent years, utilizing gene editing technology, cattle with identified genes related to productivity can be edited, thereby enhancing productivity in response to climate change or specific disease instead of producing recombinant proteins. Furthermore, with the advancement in the efficiency of gene editing, it has become possible to edit multiple genes simultaneously. This cattle breed improvement has been achieved by discovering the genes through the comprehensive analysis of the entire genome of cattle. The cattle industry has been able to address gene bottlenecks that were previously impossible through conventional breeding systems. This review concludes that gene editing is necessary to expand the cattle industry, improving productivity in the future. Additionally, the enhancement of cattle through gene editing is expected to contribute to addressing environmental challenges associated with the cattle industry. Further research and development in gene editing, coupled with genomic analysis technologies, will significantly contribute to solving issues that conventional breeding systems have not been able to address.

• 산업경영시스템학회지
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• 제47권1호
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• pp.20-27
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• 2024

Determining the number of operators who set up the machines in a human-machine system is crucial for maximizing the benefits of automated production machines. A man-machine chart is an effective tool for identifying bottlenecks, improving process efficiency, and determining the optimal number of machines per operator. However, traditional man-machine charts are lacking in accounting for idle times, such as interruptions caused by other material handling equipment. We present an adjusted man-machine chart that determines the number of machines per operator, incorporating idleness as a penalty term. The adjusted man-machine chart efficiently deploys and schedules operators for the hole machining process to enhance productivity, where operators have various idle times, such as break times and waiting times by forklifts or trailers. Further, we conduct a simulation validation of traditional and proposed charts under various operational environments of operators' fixed and flexible break times. The simulation results indicate that the adjusted man-machine chart is better suited for real-world work environments and significantly improves productivity.

• 한국광학회지
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• 제26권3호
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• pp.168-171
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• 2015

고출력 반도체 광원의 열유동 특성을 분석하고, 열전달 병목지점을 파악하여 열저항을 개선하는 방안을 도출하고, 전산모사를 통하여 개선 효과를 확인하였다. 띠구조 활성층을 가진 LD 광원의 경우에 발열부의 부피가 작을 뿐 아니라 발열면적이 좁아서 발열부 근처의 열전달 유효단면적이 매우 좁을 수 밖에 없는데, 이 부근의 경계면에 그래핀층을 추가적으로 적용하면 전체 열저항이 확연히 개선되는 것이 전산모사 되었다. 이는 열전달 경로상의 유효단면적이 넓어지는 효과를 가져와 전체 열저항이 확연히 개선되는 것으로 파악되었다.