• 제목/요약/키워드: Project Spectrum

검색결과 74건 처리시간 0.02초

OC3 Hywind 부유식 풍력발전기 플랫폼의 유체력 계산 및 운동해석 (Hydrodynamic force calculation and motion analysis of OC3 Hywind floating offshore wind turbine platform)

  • 김민수;이강수
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권8호
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    • pp.953-961
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    • 2013
  • 이 연구에서는 부유식 풍력발전기 콘셉트모델중의 하나인 5MW급 OC3-Hywind를 해석하였다. 이 모델은 스파형 플랫폼을 가지고 있으며 3개의 현수식 계류삭으로 해저면과 연결되어있다. 수치해석프로그램으로는 NREL에서 개발한 FAST와 AQWA가 사용되었다. FAST에 입력되는 유체력은 AQWA를 통해서 계산되었으며, 운동특성으로는 전달응답함수와 평균운동, 상위1/3운동, 상위1/10운동을 평가하였다. 다른기관의 해석, 실험결과와 비교하였으며, 이 결과는 부유식풍력발전기 컨셉모델의 기초설계를 재해석하는데 있어 도움이 될것이다.

빅데이터 분석을 위해 아파치 스파크를 이용한 원시 데이터 소스에서 데이터 추출 (Capturing Data from Untapped Sources using Apache Spark for Big Data Analytics)

  • ;구흥서
    • 전기학회논문지
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    • 제65권7호
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    • pp.1277-1282
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    • 2016
  • The term "Big Data" has been defined to encapsulate a broad spectrum of data sources and data formats. It is often described to be unstructured data due to its properties of variety in data formats. Even though the traditional methods of structuring data in rows and columns have been reinvented into column families, key-value or completely replaced with JSON documents in document-based databases, the fact still remains that data have to be reshaped to conform to certain structure in order to persistently store the data on disc. ETL processes are key in restructuring data. However, ETL processes incur additional processing overhead and also require that data sources are maintained in predefined formats. Consequently, data in certain formats are completely ignored because designing ETL processes to cater for all possible data formats is almost impossible. Potentially, these unconsidered data sources can provide useful insights when incorporated into big data analytics. In this project, using big data solution, Apache Spark, we tapped into other sources of data stored in their raw formats such as various text files, compressed files etc and incorporated the data with persistently stored enterprise data in MongoDB for overall data analytics using MongoDB Aggregation Framework and MapReduce. This significantly differs from the traditional ETL systems in the sense that it is compactible regardless of the data formats at source.

A study on performance assessment of WEC rotor in the Jeju western waters

  • Poguluri, Sunny Kumar;Bae, Yoon Hyeok
    • Ocean Systems Engineering
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    • 제8권4호
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    • pp.361-380
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    • 2018
  • The dynamic performance of the wave energy converter (WEC) rotor with different geometric parameters such as depth of submergence and beak angle has been assessed by considering the linear potential flow theory using WAMIT solver and along with the computational fluid dynamics (CFD). The effect of viscous damping is incorporated by conducting numerical free decay test using CFD. The hydrodynamic coefficients obtained from the WAMIT, viscous damping from the CFD and estimated PTO damping are used to solve the equation of motion to obtain the final pitch response, mean optimal power and capture width. The viscous damping is almost 0.9 to 4.6 times when compared to the actual damping. It is observed that by neglecting the viscous damping the pitch response and power are overestimated when compared to the without viscous damping. The performance of the pitch WEC rotor in the Jeju western coast at the Chagwido is analyzed using Joint North Sea Wave Project (JONSWAP) spectrum and square-root of average extracted power is obtained. The performance of WEC rotor with depth of submergence 2.8 m and beak angle $60^{\circ}$ found to be good compared to the other rotors.

Diagnosing a Child with Autism using Artificial Intelligence

  • Alharbi, Abdulrahman;Alyami, Hadi;Alenzi, Saleh;Alharbi, Saud;bassfar, Zaid
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.145-156
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    • 2022
  • Children are the foundation and future of this society and understanding their impressions and behaviors is very important and the child's behavioral problems are a burden on the family and society as well as have a bad impact on the development of the child, and the early diagnosis of these problems helps to solve or mitigate them, and in this research project we aim to understand and know the behaviors of children, through artificial intelligence algorithms that helped solve many complex problems in an automated system, By using this technique to read and analyze the behaviors and feelings of the child by reading the features of the child's face, the movement of the child's body, the method of the child's session and nervous emotions, and by analyzing these factors we can predict the feelings and behaviors of children from grief, tension, happiness and anger as well as determine whether this child has the autism spectrum or not. The scarcity of studies and the privacy of data and its scarcity on these behaviors and feelings limited researchers in the process of analysis and training to the model presented in a set of images, videos and audio recordings that can be connected, this model results in understanding the feelings of children and their behaviors and helps doctors and specialists to understand and know these behaviors and feelings.

A Study on the High-Order Spectral Model Capability to Simulate a Fully Developed Nonlinear Sea States

  • Young Jun Kim;Hyung Min Baek;Young Jun Yang;Eun Soo Kim;Young-Myung Choi
    • 한국해양공학회지
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    • 제37권1호
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    • pp.20-30
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    • 2023
  • Modeling a nonlinear ocean wave is one of the primary concerns in ocean engineering and naval architecture to perform an accurate numerical study of wave-structure interactions. The high-order spectral (HOS) method, which can simulate nonlinear waves accurately and efficiently, was investigated to see its capability for nonlinear wave generation. An open-source (distributed under the terms of GPLv3) project named "HOS-ocean" was used in the present study. A parametric study on the "HOS-ocean" was performed with three-hour simulations of long-crested ocean waves. The considered sea conditions ranged from sea state 3 to sea state 7. One hundred simulations with fixed computational parameters but different random seeds were conducted to obtain representative results. The influences of HOS computational parameters were investigated using spectral analysis and the distribution of wave crests. The probability distributions of the wave crest were compared with the Rayleigh (first-order), Forristall (second-order), and Huang (empirical formula) distributions. The results verified that the HOS method could simulate the nonlinearity of ocean waves. A set of HOS computational parameters was suggested for the long-crested irregular wave simulation in sea states 3 to 7.

Comparison of Environmental Radiation Survey Analysis Results in a High Dose Rate Environment Using CZT, NaI(Tl), and LaBr3(Ce) Detectors

  • Sungyeop Joung;Wanook Ji;Eunjung Lee;Young-Yong Ji;Yoomi Choi
    • 방사성폐기물학회지
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    • 제21권4호
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    • pp.543-558
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    • 2023
  • Currently, Japan is undertaking a nationwide project to measure and map radioactive contamination around Fukushima, as part of the efforts to restore normalcy following the nuclear accident. The Japan Atomic Energy Agency (JAEA) manages the Fukushima Environmental Safety Center, located approximately 20 km north of the Fukushima Daiichi nuclear power plant in Minamisōma City, Fukushima Prefecture. In collaboration with the JAEA, this study involved conducting comparison experiments and analyses with radiation detectors in high radiation environments, a challenging task in Korean environments. Environmental radiation surveys were conducted using three types of detectors: CZT, NaI(Tl), and LaBr3(Ce), across two contaminated areas. Dose rate values were converted using dose rate conversion factors for each detector type, and dose rate maps were subsequently created and compared. The detectors yielded similar results, demonstrating their feasibility and reliability in high radiation environments. The findings of this study are expected to be a crucial reference for enhancing the verification and supplementation of procedures and methods in future radiation measurements and mobile surveys in high-radiation environments, using these three types of radiation instruments.

Biogenic fabrication and characterization of silver nanoparticles using aqueous-ethanolic extract of lichen (Usnea longissima) and their antimicrobial activity

  • Siddiqi, Khwaja Salahuddin;Rashid, M.;Rahman, A.;Tajuddin, Tajuddin;Husen, Azamal;Rehman, Sumbul
    • 생체재료학회지
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    • 제22권4호
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    • pp.328-336
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    • 2018
  • Background: Biogenic fabrication of silver nanoparticles from naturally occurring biomaterials provides an alternative, eco-friendly and cost-effective means of obtaining nanoparticles. It is a favourite pursuit of all scientists and has gained popularity because it prevents the environment from pollution. Our main objective to take up this project is to fabricate silver nanoparticles from lichen, Usnea longissima and explore their properties. In the present study, we report a benign method of biosynthesis of silver nanoparticles from aqueous-ethanolic extract of Usnea longissima and their characterization by ultraviolet-visible (UV-vis), Fourier transform infrared (FTIR) spectroscopy, transmission electron microscopy (TEM) and scanning electron microscopy (SEM) analyses. Silver nanoparticles thus obtained were tested for antimicrobial activity against gram positive bacteria and gram negative bacteria. Results: Formation of silver nanoparticles was confirmed by the appearance of an absorption band at 400 nm in the UV-vis spectrum of the colloidal solution containing both the nanoparticles and U. longissima extract. Poly(ethylene glycol) coated silver nanoparticles showed additional absorption peaks at 424 and 450 nm. FTIR spectrum showed the involvement of amines, usnic acids, phenols, aldehydes and ketones in the reduction of silver ions to silver nanoparticles. Morphological studies showed three types of nanoparticles with an abundance of spherical shaped silver nanoparticles of 9.40-11.23 nm. Their average hydrodynamic diameter is 437.1 nm. Results of in vitro antibacterial activity of silver nanoparticles against Staphylococcus aureus, Streptococcus mutans, Streptococcus pyrogenes, Streptococcus viridans, Corynebacterium xerosis, Corynebacterium diphtheriae (gram positive bacteria) and Escherichia coli, Klebsiella pneuomoniae and Pseudomonas aeruginosa (gram negative bacteria) showed that it was effective against tested bacterial strains. However, S. mutans, C. diphtheriae and P. aeruginosa were resistant to silver nanoparticles. Conclusion: Lichens are rarely exploited for the fabrication of silver nanoparticles. In the present work the lichen acts as reducing as well as capping agent. They can therefore, be used to synthesize metal nanoparticles and their size may be controlled by monitoring the concentration of extract and metal ions. Since they are antibacterial they may be used for the treatment of bacterial infections in man and animal. They can also be used in purification of water, in soaps and medicine. Their sustained release may be achieved by coating them with a suitable polymer. Silver nanoparticles fabricated from edible U. longissima are free from toxic chemicals and therefore they can be safely used in medicine and medical devices. These silver nanoparticles were stable for weeks therefore they can be stored for longer duration of time without decomposition.

연안선박용 LNG 벙커링 전용선박의 내항성능 평가에 대한 연구 (Performance Assessment of Navigation Seakeeping for Coastal Liquified-Natural-Gas Bunkering Ship)

  • 이민아;박준범;이창희
    • 해양환경안전학회지
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    • 제26권7호
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    • pp.904-914
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    • 2020
  • 우리나라는 산업통상자원부를 통해 'LNG 벙커링(연료공급) 전용선 건조지원사업'을 한국가스공사를 중심으로 추진하고 있고, 동시 해양수산부는 부산신항내 LNG 벙커링 터미널 구축을 추진하고 있다. LNG 벙커링 전용선박은 LNG 연료를 터미널에서 대상 선박으로 공급하기 위한 필수 대상이고, 이에 따라 안정 운항에 대한 절차서의 필요성이 대두되고 있다. 따라서 본 연구는 연안선박용 LNG벙커링 전용선박의 운항 절차서를 제안하기 위하여 부산 신항에서 부산항 정박지로 운항하는 연안선박용 LNG 벙커링 전용선박의 안정성을 평가하였다. 이를 위해 포텐셜 유동해석 기반의 운동해석을 수행하여 취득한 선체운동 응답진폭함수를 운항 해역의 5년간 관측된 실해역 자료와 부산 연안에 적합한 TMA스펙트럼과 합성하여 유의파고별 연안선박용 LNG 벙커링 전용 선박의 내항성능 평가를 수행하였다. 그 결과는 유의파고 2 m 이상에서 횡동요와 수평가속도가 내항성능에 주요 위험 요소가 됨을 알 수 있었다. LNG 벙커링 전용선박의 운항 가능 기간은 총 관측기간의 83.3 ~ 99.9 % 수준임을 알 수 있었다.

적외선 우주배경복사 관측 실험 2(CIBER2) 국제 공동 연구 (KOREAN PARTICIPATION ON THE COSMIC INFRARED BACKGROUND EXPERIMENT 2 (CIBER2))

  • 이대희;박원기;문봉곤;박성준;김민규;김건희;남욱원;표정현;정웅섭;박영식;김일중;한원용
    • 천문학논총
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    • 제30권1호
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    • pp.11-16
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    • 2015
  • First light galaxies have predictable linear clustering, and are expected to produce fluctuations with a characteristic spatial power spectrum, which peaks at an angular scale of ~ 10 arcminutes and in the $1-2{\mu}m$ spectral regions. The Cosmic Infrared Background ExpeRiment 2 (CIBER2) is a dedicated sounding rocket mission for measuring the fluctuations in the extragalactic infrared background light, following up the previous successful measurements of CIBER1. With a 28.5 cm telescope accompanied with three arms of camera barrels and a dual broadband filter on each H2RG (${\lambda}_c=2.5{\mu}m$) array, CIBER2 can measure 6 bands of wide field ($1.1{\times}2.2$ degrees) up to 3 AB magnitudes deeper than CIBER1. This project is leaded by California Institute of Technology/Jet Propulsion Laboratory, collaborating internationally with Institute of Space and Astronautical Science in Japan, Korea Astronomy and Space Science Institute, Korea Basic Science Institute, and Seoul National University. The Korean team is in charge of 1) one H2RG scientific array, 2) ground station hardware and software, 3) telescope lenses, and 4) flight and test bed electronics fabrication. In this paper, we describe the detailed activities of the Korean participation as well as the current status of the CIBER2 project.

유아의 다중지능과 관련된 생물생태학적 변인 연구 - 유아의 기질 및 어머니의 양육태도, 조화적합성을 중심으로 - (The Bioecological Variables Affecting Children's Multiple Intelligences - With a Focus on Child's Temperament, Mother's Parenting Style and Goodness of Fit -)

  • 서주현;이순형
    • 가정과삶의질연구
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    • 제27권6호
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    • pp.229-242
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    • 2009
  • This study investigates how bioecological variables affect the child's multiple intelligence through independent and interactional ways. The subjects of this study were 147 pairs of 5-year-old children and their mothers, and the Project Spectrum was employed to measure multiple intelligences. Each mothers was asked to answer a questionnaire on her child's temperament, her maternal parenting style, 'goodness of fit' and 'the fit of child's intelligence'. Data were analyzed using a factor analysis and a hierarchical multiple regression with SPSS WIN 15.0. The main findings were as followings; First, 'the goodness of fit' to the child's temperament moderated the effect of a maternal parenting style that would foster child's dependency on the mathematical intelligence through interaction. 'The fit of child's intelligence' also moderated the effect of maternal positive parenting style to the child's mathematical intelligence. Second, in language intelligence, girls were more verbally intelligent than boys. In that regard, because the sex variable entails a combination of both inherent attribute and social-cultural effects, that result can be interpreted as an interaction between the individual and the environment. Lastly, a maternal parenting style that would foster child's dependency moderated the effect of the child's regular temperament on interpersonal intelligence. This means that the child's regular temperament can be a protective factor for the negative effect of a maternal parenting style that would foster child's dependency This study suggests that interactional factors such as 'goodness of fit' should be considered in studies involving children.