• Title/Summary/Keyword: Harness

Search Result 297, Processing Time 0.028 seconds

Analysis of Cable Protection of Duct in Lightning and HIRF Environment of UAM Aircraft and a Proposal for Certification Guidance (UAM 항공기 낙뢰 및 HIRF 환경에서 덕트의 케이블 보호 성능 분석 및 인증기술에 관한 연구)

  • Kim, Dong-Hyeon;Jo, Jae-Hyeon;Kim, Yun-Gon;Lee, Hakjin;Myong, Rho-Shin
    • Journal of Aerospace System Engineering
    • /
    • v.16 no.3
    • /
    • pp.23-34
    • /
    • 2022
  • Cities around the world are increasing their demand for Urban Air Mobility (UAM) aircraft due to traffic congestion with population concentration. Aircraft with various shapes depending on fixed-wing and propulsion systems, are being prepared for commercialization. Airworthiness certification is required as it is a manned transportation vehicle that flies in the city center and transports people on board. UAM aircraft are vulnerable to lightning and HIRF environments due to the increasing use of composite materials, the use of electric motors, and use of electronic equipment. Currently, the development of certification technology, guidelines, and requirements in lightning and HIRF environments for UAM aircraft is incomplete. In this study, the certification procedures for lightning and HIRF indirect impacts of rotorcraft shown in AC 20-136B and AC 20-158A issued by the Federal Aviation Administration (FAA), were verified and applied to the computerized simulation of UAM aircraft. The impact of lightning and HIRF on ducted fan UAM aircraft was analyzed through computerized simulation, and the basis for establishing practical guidelines for certification of UAM aircraft to be operated in the future is presented.

Understanding and Trends of Roll-to-Roll Operation (롤투롤 공정의 이해 및 동향)

  • Yeong-Woo Ha;Gi-Hwan Kim;Dong-Chan Lim
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.37 no.1
    • /
    • pp.36-42
    • /
    • 2024
  • Roll-to-roll processing holds an integral position within the manufacturing landscape, and its significance reverberates across numerous industries. This versatile technology platform encompasses a diverse array of process methods and accommodates a wide spectrum of material categories, making it a cornerstone of modern production. Within this expansive domain, two commonly employed coating techniques, namely the slot die and gravure coating methods, have earned their prominence for their precision and efficiency in delivering flawless coatings. Additionally, the realm of drying processes relies heavily on thermal drying, infrared (IR) drying, and ultraviolet (UV) drying methods to expedite the transformation of materials from their liquid or semi-liquid states to solid, ready-to-use products. The undeniable importance of roll-to-roll processing lies in its ability to streamline manufacturing processes, reduce costs, and enhance product quality. This article embarks on a comprehensive journey to fathom the depth of this importance by delving into the intricacies of these common roll-to-roll process methods. Through rigorous research and meticulous data collection, we aim to shed light on the pivotal role these techniques play in shaping various industries and advancing the world of manufacturing. By understanding their significance, we can harness the full potential of roll-to-roll processing and pave the way for innovation and excellence in production.

Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques (딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구)

  • Won-Been Park;Heung-Bae Choi;Myeong-Soo Han;Ho-Sik Um;Yong-Sik Song
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.29 no.6
    • /
    • pp.536-542
    • /
    • 2023
  • Satellites represent cutting-edge technology, of ering significant advantages in spatial and temporal observations. National agencies worldwide harness satellite data to respond to marine accidents and analyze ocean fluctuations effectively. However, challenges arise with high-resolution satellite-based sea surface temperature data (Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA), where gaps or empty areas may occur due to satellite instrumentation, geographical errors, and cloud cover. These issues can take several hours to rectify. This study addressed the issue of missing OSTIA data by employing LaMa, the latest deep learning-based algorithm. We evaluated its performance by comparing it to three existing image processing techniques. The results of this evaluation, using the coefficient of determination (R2) and mean absolute error (MAE) values, demonstrated the superior performance of the LaMa algorithm. It consistently achieved R2 values of 0.9 or higher and kept MAE values under 0.5 ℃ or less. This outperformed the traditional methods, including bilinear interpolation, bicubic interpolation, and DeepFill v1 techniques. We plan to evaluate the feasibility of integrating the LaMa technique into an operational satellite data provision system.

Statistical Method and Deep Learning Model for Sea Surface Temperature Prediction (수온 데이터 예측 연구를 위한 통계적 방법과 딥러닝 모델 적용 연구)

  • Moon-Won Cho;Heung-Bae Choi;Myeong-Soo Han;Eun-Song Jung;Tae-Soon Kang
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.29 no.6
    • /
    • pp.543-551
    • /
    • 2023
  • As climate change continues to prompt an increasing demand for advancements in disaster and safety management technologies to address abnormal high water temperatures, typhoons, floods, and droughts, sea surface temperature has emerged as a pivotal factor for swiftly assessing the impacts of summer harmful algal blooms in the seas surrounding Korean Peninsula and the formation and dissipation of cold water along the East Coast of Korea. Therefore, this study sought to gauge predictive performance by leveraging statistical methods and deep learning algorithms to harness sea surface temperature data effectively for marine anomaly research. The sea surface temperature data employed in the predictions spans from 2018 to 2022 and originates from the Heuksando Tidal Observatory. Both traditional statistical ARIMA methods and advanced deep learning models, including long short-term memory (LSTM) and gated recurrent unit (GRU), were employed. Furthermore, prediction performance was evaluated using the attention LSTM technique. The technique integrated an attention mechanism into the sequence-to-sequence (s2s), further augmenting the performance of LSTM. The results showed that the attention LSTM model outperformed the other models, signifying its superior predictive performance. Additionally, fine-tuning hyperparameters can improve sea surface temperature performance.

Contemplation of Korean Offshore Wind Industry Development (한국의 해상풍력산업 발전전략 고찰)

  • Kim Jong-hwa
    • Journal of Wind Energy
    • /
    • v.15 no.1
    • /
    • pp.5-10
    • /
    • 2024
  • Offshore wind power generation has significant advantages, including enhanced energy security and job creation. However, despite these benefits, South Korea has not fully utilized its potential in this sector. In contrast, offshore wind power industry development in Europe has been driven by government leadership. Drawing from this experience, South Korea also needs to relax regulations, strengthen necessary infrastructure, and enhance financial support systems to activate the offshore wind power industry. For this, sustained government leadership is absolutely essential. Without addressing the capacity issues in the power grid, we cannot expect offshore wind power generation to succeed. To address grid issues, we propose the enactment of a special law called the "Special Act on Grid Expansion." Considering KEPCO's financial situation, private investment should be encouraged for grid construction. The role of developers is crucial for the successful development and operation of offshore wind power. They manage risks throughout various stages, from site acquisition to construction and operation, which have a significant impact on the success or failure of projects. Since domestic developers currently lack experience in offshore wind power, a cooperative strategy that leverages the experience and technology of advanced countries is necessary. Energy issues should be recognized as important tasks beyond mere political ideologies, as they are crucial for the survival of the nation and its development. It is essential to form a public consensus and implement ways for residents to coexist with offshore wind power, along with the conservation of marine ecosystems and effective communication with stakeholders. Expansion of the offshore wind power industry requires support in various areas, including financial and tax incentives, technology research investment, and workforce development. In particular, achieving carbon neutrality by 2050 necessitates the activation of offshore wind power alongside efforts by major corporations to transition to renewable energy. South Korea, surrounded by the sea, holds significant offshore wind power potential, and it is our responsibility to harness it as a sustainable energy source for future generations. To activate the offshore wind power market, we need to provide financial and tax support, develop infrastructure and research, and foster a skilled workforce. As major corporations transition to renewable energy to achieve carbon neutrality by 2050, offshore wind power must play a significant role. It is our responsibility to fully utilize South Korea's potential and make offshore wind power a new driver of growth.

Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0

  • Kim, Sunho;Kim, Royoung;Nam, Hee-Jo;Kim, Ryeo-Gyeong;Ko, Enjin;Kim, Han-Su;Shin, Jihye;Cho, Daeun;Jin, Yurhee;Bae, Soyeon;Jo, Ye Won;Jeong, San Ah;Kim, Yena;Ahn, Seoyeon;Jang, Bomi;Seong, Jiheyon;Lee, Yujin;Seo, Si Eun;Kim, Yujin;Kim, Ha-Jeong;Kim, Hyeji;Sung, Hye-Lynn;Lho, Hyoyoung;Koo, Jaywon;Chu, Jion;Lim, Juwon;Kim, Youngju;Lee, Kyungyeon;Lim, Yuri;Kim, Meongeun;Hwang, Seonjeong;Han, Shinhye;Bae, Sohyeun;Kim, Sua;Yoo, Suhyeon;Seo, Yeonjeong;Shin, Yerim;Kim, Yonsoo;Ko, You-Jung;Baek, Jihee;Hyun, Hyejin;Choi, Hyemin;Oh, Ji-Hye;Kim, Da-Young;Park, Hyun-Seok
    • Genomics & Informatics
    • /
    • v.18 no.3
    • /
    • pp.33.1-33.7
    • /
    • 2020
  • This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

Mineralogical Analysis of Calcium Silicate Cement according to the Mixing Rate of Waste Concrete Powder (폐콘크리트 미분말 치환율에 따른 이산화탄소 반응경화 시멘트의 광물상 분석)

  • Lee, Hyang-Sun;Song, Hun
    • Journal of the Korea Institute of Building Construction
    • /
    • v.24 no.2
    • /
    • pp.181-191
    • /
    • 2024
  • In the realm of cement manufacturing, concerted efforts are underway to mitigate the emission of greenhouse gases. A significant portion, approximately 60%, of these emissions during the cement clinker sintering process is attributed to the decarbonation of limestone, which serves as a fundamental ingredient in cement production. Prompted by these environmental concerns, there is an active pursuit of alternative technologies and admixtures for cement that can substitute for limestone. Concurrently, initiatives are being explored to harness technology within the cement industry for the capture of carbon dioxide from industrial emissions, facilitating its conversion into carbonate minerals via chemical processes. Parallel to these technological advances, economic growth has precipitated a surge in construction activities, culminating in a steady escalation of construction waste, notably waste concrete. This study is anchored in the innovative production of calcium silicate cement clinkers, utilizing finely powdered waste concrete, followed by a thorough analysis of their mineral phases. Through X-ray diffraction(XRD) analysis, it was observed that increasing the substitution level of waste concrete powder and the molar ratio of SiO2 to (CaO+SiO2) leads to a decrease in Belite and γ-Belite, whereas minerals associated with carbonation, such as wollastonite and rankinite, exhibited an upsurge. Furthermore, the formation of gehlenite in cement clinkers, especially at higher substitution levels of waste concrete powder and the aforementioned molar ratio, is attributed to a synthetic reaction with Al2O3 present in the waste concrete powder. Analysis of free-CaO content revealed a decrement with increasing substitution rate of waste concrete powder and the molar ratio of SiO2/(CaO+SiO2). The outcomes of this study substantiate the viability of fabricating calcium silicate cement clinkers employing waste concrete powder.