• Water for future
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• v.57 no.4
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• pp.52-60
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• 2024

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.219-220
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• 2019

본 논문은 DC Common 방식의 새로운 Hybrid 시스템에 대해 제안하고 있다. 제안하는 시스템은 주간에 PV를 통해 배터리를 충전하고 야간에는 BESS(Battery Energy Storage System)로 발전하여 추가 배전용량의 증설 없이 신재생에너지의 발전량을 증가시킬 수 있는 시스템이다. 본 시스템은 계통 연계형 및 PV용 전력변환장치로 구성되며 SiC(Silicon Carbide) 소자를 사용하여 손실을 최소화 하였다. 따라서 각 구성품들의 사양과 Destinpower사가 개발한 알고리즘이 적용된 Hybrid 시스템을 소개한다.

• Prospectives of Industrial Chemistry
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• v.14 no.2
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• pp.10-25
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• 2011

지속적으로 증가하고 있는 에너지 수요에 대처하기 위해 신재생에너지 기술 확보를 위한 노력이 계속되고 있다. 연료전지는 풍력, 태양전지와는 달리 환경적 제약 없이 연속적인 에너지 공급이 가능하여 건물용 분산발전용으로 적합한 요건을 갖추고 있다. 최근 시작된 시범보급 사업으로 건물용 연료전지의 초기 시장 진출이 시작되었고 공공 기관 대체에너지의무화와 그린홈 보급사업 시행으로 시장 확대가 기대된다. 본 논문에서는 건물용 연료전지 시스템의 기본원리와 국내외 개발 동향에 대해 살펴보았으며 핵심부품에 대한 기술개발 현황에 대해 기술하였다.

• Journal of radiological science and technology
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• v.45 no.1
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• pp.49-55
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• 2022

This study is to develop a mobile type environmental radiation measurement system for emergency response or environmental radiation monitoring of local governments near nuclear facilities. A mobile radiation measurement system can monitor radiation by field beyond the spatial constraints of a fixed environmental radiation monitor. If installed in local government infrastructure such as public transportation, environmental radiation can be monitored without additional manpower and measurement work. In addition, it is designed to enable monitoring and measurement of radiation from low to high doses as well as the environment in preparation for radioactive disasters such as nuclear power plant accidents. It is expected that this system will be utilized not only in normal times but also in the event of a radiation accident to improve the disaster prevention capabilities of local governments.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.168-175
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• 2023

In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.449-452
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• 2021

산업제어시스템은 IT 기술의 발전에 따라 다양한 기기 환경과 네트워크를 적용해 진화하고 있다. 이러한 상황에서 사이버 보안의 위협은 가중되고 있으며, 이를 예방하는 방법의 하나로 산업제어시스템에 탑재되는 소프트웨어의 소스코드 개발 과정에서 보안 취약점을 예방하기 위해 소스코드 보안 룰을 적용하여 위반사항을 제거한다. 본 연구에서는 소스코드 보안 룰에서 적용 우선순위를 선정하기 위한 가이드를 개발한다.

• Korean Journal of Plant Resources
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• v.34 no.5
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• pp.478-490
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• 2021

We aimed to generate basic breeding data for melon (Cucumis melo L.). A total of 219 melon accessions conserved at the National Agrobiodiversity Center (NAC) in Rural Development Administration (RDA) were used in this study, of which 72 (33%) were collected from India. The majority of accessions showed orange (42%) and white (36%) flesh color. In addition to phenotypic evaluations, the accessions were genotyped using a molecular marker for the carotenoid biosynthesis gene CmOr. DNA fragments of the expected size were amplified in 205 out of 219 accessions. Digestion of the PCR products with HinfI restriction endonuclease showed 100% concordance between phenotype and genotype in green-fleshed accessions, but 98%, 97%, and 80% concordance in orange-, white-, and creamy-fleshed accessions, respectively. Sequence analysis revealed single nucleotide changes in the three positions of SNP1, SNP2 and SNP1int in the CmOr gene among accessions. These newly found alleles suggest that there are multiple mechanisms in determining fruit flesh color in melon. Also, the phenotype data of diverse accessions obtained in this study will be a valuable source for melon breeding.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.193-194
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• 2019

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.63-65
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• 2019

부산항 신항 서컨테이너터미널은 선박 대형화와 완전 무인 자동화부두 구축이라는 설계컨셉에 따라 접안 가능한 최대선박은 3만 TEU 선박으로 결정하고 그에 따라 제반 시설들의 규격을 증대하였으며, 상부 자동화 설비들의 운영에 지장이 발생하지 않도록 대형 유수실, 월파차단벽 등의 침수 방지시설과 크레인 및 AGV구간 부등침하 방지를 위해 41.5m의 광폭케이슨과 176m의 광폭 DCM기초를 적용하고, 최신 설계기준에 의거한 내진 I 등급 구조물로 계획하는 등 안전하고 이용성이 뛰어난 컨테이너 터미널이 구축되도록 하였다.

• Journal of the Korean institute of surface engineering
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• v.56 no.1
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• pp.77-83
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• 2023

The reliability of leadframe-based semiconductor package depends on the adhesion between metal and epoxy molding compound (EMC). In this study, the Ag surface was electrochemically treated in a solution containing silanes in order to improve the adhesion between Ag and epoxy substrate. After electrochemical treatment, the thin silane layer was deposited on the Ag surface, whereby the peel strength between Ag and epoxy substrate was clearly improved. The improvement of peel strength depended on the functional group of silane, implying the chemical linkage between Ag and epoxy.