• 제목/요약/키워드: core losses

검색결과 218건 처리시간 0.024초

원자로 정지 동안의 위해도 모델 개발 (Risk Model Development for PWR During Shutdown)

  • Yoon, Won-Hyo;Chang, Soon-Heung
    • Nuclear Engineering and Technology
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    • 제21권1호
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    • pp.1-11
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    • 1989
  • 원자로 정지동안에도, 잔열제거계통은 그 기능이 계속 유지되어야 하나, 실제로 가압 경수로에서 냉각상실고가 많이 발생되어 있다. 본 논문은 원자로 정지중의 냉각기능상실을 예방하고, 또한 냉각기능상실로 인한 노심손상의 중대성을 완화시키기 위한 대책을 강구하기 위한 시도로서, 전형적인 가압경수로에 대한 사고/고장 수목과 운전원실수 확률을 위한 HCR 모델, 초기 사상의 빈도를 위한 2단계 bayesian 방법 및 고장난 계통의 회복 활률을 위한 계단함수 모델 등을 이용한 원자로 정지 위해도 모델을 개발하여, 잔열제거계통의 신뢰도를 분석하였다. 그 결과는 원자로가 정지 중일 때의 위해도가 운전중일 때 이것에 비해 별로 낮지 않은 것으로 나타났으며, 몇 가지의 설계개선을 통하여 냉각기능상실로 인한 노심 손상확률을 상당히 낮출 수 있는 것으로 나타났다.

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A Detailed Review on Recognition of Plant Disease Using Intelligent Image Retrieval Techniques

  • Gulbir Singh;Kuldeep Kumar Yogi
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.77-90
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    • 2023
  • Today, crops face many characteristics/diseases. Insect damage is one of the main characteristics/diseases. Insecticides are not always effective because they can be toxic to some birds. It will also disrupt the natural food chain for animals. A common practice of plant scientists is to visually assess plant damage (leaves, stems) due to disease based on the percentage of disease. Plants suffer from various diseases at any stage of their development. For farmers and agricultural professionals, disease management is a critical issue that requires immediate attention. It requires urgent diagnosis and preventive measures to maintain quality and minimize losses. Many researchers have provided plant disease detection techniques to support rapid disease diagnosis. In this review paper, we mainly focus on artificial intelligence (AI) technology, image processing technology (IP), deep learning technology (DL), vector machine (SVM) technology, the network Convergent neuronal (CNN) content Detailed description of the identification of different types of diseases in tomato and potato plants based on image retrieval technology (CBIR). It also includes the various types of diseases that typically exist in tomato and potato. Content-based Image Retrieval (CBIR) technologies should be used as a supplementary tool to enhance search accuracy by encouraging you to access collections of extra knowledge so that it can be useful. CBIR systems mainly use colour, form, and texture as core features, such that they work on the first level of the lowest level. This is the most sophisticated methods used to diagnose diseases of tomato plants.

An optimization design study of producing transuranic nuclides in high flux reactor

  • Wei Xu;Jian Li;Jing Zhao;Ding She;Zhihong Liu;Heng Xie;Lei Shi
    • Nuclear Engineering and Technology
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    • 제55권8호
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    • pp.2723-2733
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    • 2023
  • Transuranic nuclides (such as 238Pu, 252Cf, 249Bk, etc.) have a wide range of application in industry, medicine, agriculture, and other fields. However, due to the complex conversion chain and remarkable fission losses in the process of transuranic nuclides production, the generation amounts are extremely low. High flux reactor with high neutron flux and flexible irradiation channels, is regarded as the promising candidate for producing transuranic nuclides. It is of great significance to increase the conversion ratio of transuranic nuclides, resulting in higher efficiency and better economy. In this paper, we perform an optimization design evaluation of producing transuranic nuclides in high flux reactor, which includes optimization design of irradiation target and influence study of reactor core loading. It is demonstrated that the production rate increases with appropriately determined target material and target structure. The target loading scheme in the irradiation channel also has a significant influence on the production of transuranic nuclides.

Real2Animation:애니메이션 제작지원을 위한 딥페이크 기술 활용 연구 (Real2Animation: A Study on the application of deepfake technology to support animation production)

  • 신동주;최봉준
    • 융합신호처리학회논문지
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    • 제23권3호
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    • pp.173-178
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    • 2022
  • 최근 인공지능, 빅데이터, IoT 등의 다양한 컴퓨팅 기술이 발달하고 있다. 특히 콘텐츠 및 의료 산업 등 여러 분야에서 인공지능 기반의 딥페이크(Deepfake) 기술이 다양하게 활용되고 있다. 딥페이크 기술이란 딥러닝과 fake의 합성어로, AI의 핵심기술인 딥러닝을 통해 사람의 얼굴이나 신체를 합성하여 억양, 목소리 등을 따라 하게 만드는 기술이다. 본 논문은 딥페이크 기술을 활용하여 애니메이션 모델과 실제 인물사진의 합성을 통한 가상 캐릭터생성을 연구한다. 이를 통해 애니메이션 제작과정에서 일어나는 여러 가지 비용 손실을 최소화하고 작가들의 작업을 지원할 수 있다. 또한, 딥페이크 오픈소스가 인터넷에 퍼짐에 따라 많은 문제들이 나타나면서 딥페이크 기술을 악용한 범죄가 성행하고 있다. 본 연구를 통해서 딥페이크 기술을 성인물이 아닌 아동물에 적용하여 이 기술에 대한 새로운 관점을 제시한다.

대북 투자보호의 실효성 제고 방안에 대한 고찰 (A Study on the Effectiveness of Investment Protection in North Korea)

  • 오현석
    • 한국중재학회지:중재연구
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    • 제33권2호
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    • pp.53-83
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    • 2023
  • The investment agreement prepared at the beginning of inter-Korean economic cooperation in 2000 can be evaluated as very ineffective as a product of mutual political and diplomatic compromise rather than an effective protection for our investment assets. South Korean companies suffered a lot of losses due to the freezing of assets in the Geumgang mountain district and the closure of the Kaeseung Industrial Complex, but they did not receive practical damage relief due to institutional vulnerabilities. Currently, North Korea is under international economic sanctions of the UN Security Council, so it is true that the resumption of inter-Korean economic cooperation is far away, but North Korea's human resources and geographical location are still attractive investment destinations for us. Therefore, if strained relations between the two Koreas recover in the future and international economic sanctions on North Korea are eased, Korean companies' investment in North Korea will resume. However, the previous inter-Korean investment agreement system was a fictional systemthat was ineffective. Therefore, if these safety devices are not reorganized when economic cooperation resumes, unfair damage to Korean companies will be repeated again. The core of the improved investment guarantee system is not a bilateral system between the two Koreas, but the establishment of a multilateral system through North Korea's inclusion in the international economy. Specifically, it includes encouraging North Korea to join international agreements for the execution of arbitration decisions, securing subrogation rights through membership of international insurance groups such as MIGA, creating matching funds by international financial organizations. Through this new approach, it will be possible to improve the safety of Korean companies' investment in North Korea, and ultimately, it will be necessary to lay the foundation for mutual development through economic cooperation between the two Koreas.

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Life prediction of IGBT module for nuclear power plant rod position indicating and rod control system based on SDAE-LSTM

  • Zhi Chen;Miaoxin Dai;Jie Liu;Wei Jiang;Yuan Min
    • Nuclear Engineering and Technology
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    • 제56권9호
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    • pp.3740-3749
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    • 2024
  • To reduce the losses caused by aging failure of insulation gate bipolar transistor (IGBT), which is the core components of nuclear power plant rod position indicating and rod control (RPC) system. It is necessary to conduct studies on its life prediction. The selection of IGBT failure characteristic parameters in existing research relies heavily on failure principles and expert experience. Moreover, the analysis and learning of time-domain degradation data have not been fully conducted, resulting in low prediction efficiency as the monotonicity, time correlation, and poor anti-interference ability of extracted degradation features. This paper utilizes the advantages of the stacked denoising autoencoder(SDAE) network in adaptive feature extraction and denoising capabilities to perform adaptive feature extraction on IGBT time-domain degradation data; establishes a long-short-term memory (LSTM) prediction model, and optimizes the learning rate, number of nodes in the hidden layer, and number of hidden layers using the Gray Wolf Optimization (GWO) algorithm; conducts verification experiments on the IGBT accelerated aging dataset provided by NASA PCoE Research Center, and selects performance evaluation indicators to compare and analyze the prediction results of the SDAE-LSTM model, PSOLSTM model, and BP model. The results show that the SDAE-LSTM model can achieve more accurate and stable IGBT life prediction.

농업기상 조기경보체계: 기후변화-기상이변 대응서비스의 출발점 (Agrometeorological Early Warning System: A Service Infrastructure for Climate-Smart Agriculture)

  • 윤진일
    • 한국농림기상학회지
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    • 제16권4호
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    • pp.403-417
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    • 2014
  • 기상이변의 증가추세는 인류가 직면한 기후변화의 또 다른 속성이며 농업부문에서는 이미 심각한 재해로 이어지고 있다. 기상이변은 다양한 공간규모에 걸쳐 일어나지만 그 영향을 완화시킬 처방은 국지적인 규모에서만 가능하다. 따라서 기후변화 대응을 위한 조기경보체계는 반드시 '위치와 장소'를 기반으로 그곳의 영농정보를 바탕으로 할 때만 효율적이다. 기존 조기경보체계는 다양한 영농현장에 대한 구체적 위험을 알려주지 못하며, 농가의 개별적 상황이 대응조치에 반영되지 못하고, 악기상의 장기 누적효과에 의해 발생하는 '지발재해'나 둘 이상의 기상요소가 동시에 작용하는 '복합재해'에 대한 고려가 없다. 본 강좌에서는 선행연구들에 의해 확보된 '농가맞춤형 기상위험 관리기술'을 토대로, 필지단위 국지기상조건을 재배중인 작물의 종류와 발육단계에 맞춘 '재해위험지수'로 정량화하고, 이를 평년기준과 비교하여 재해발생 가능성을 판단하며, 적절한 대응방안과 함께 재배농가에게 일대일로 전달하는 '맞춤형 농업기상서비스' 구축에 관하여 논의한다. 이 서비스를 현업화하기 위한 1단계 4년의 조기경보체계 실증연구가 2014년에 시작되었고, 2017년까지는 남한 21개 대권역 가운데 하나인 유역면적 $4,914km^2$에 60,202호의 농가로 이루어진 섬진강권역을 대상으로 현업서비스를 구축하게 된다. 연구수행과정에서 얻어지는 경험은 2단계 전국 대상 사업으로 확대되어 기후변화와 기상이변 증가에 따른 농업부문 재해위험을 개별농가 차원에서 실질적으로 경감시키는 데 기여할 것이다. 금세기 농업분야 최대의 도전인 기후변화를 슬기롭게 극복하기 위해 '기후스마트농업'이 학계의 대안으로 자리 잡았지만, 국내 성공의 전제조건으로서 농업기상 조기경보체계의 지속적인 개발과 이를 토대로 한 맞춤형 농업기상서비스의 전국 확대가 필요하다.

Active biotelemetry를 이용한 젖소의 스트레스 반응 측정: II. 수송 스트레스 감소를 위한 수액투여 효과 (Measuring stress responses using active biotelemetry in cattle II. Fluid administration for reducing transport stress)

  • 이수한;이병한;임좌진;김진영;이동희;김재경;최농훈;정순욱;정병현
    • 대한수의학회지
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    • 제41권4호
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    • pp.603-609
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    • 2001
  • A transport stress is one of the main causes of economic losses and physiological dysfunction. The present study has been performed to suggest a method to decrease the adverse effects above mentioned from transport. The groups were prepared as follows; (1) Control group : 4 cattle transported for 5 hrs (274 km) without any treatment, (2) Treatment group : 4 cattle treated with electrolyte-mineral solution (I.V.) at 1 hr before the enrollment of transport under same experimental condition with Control group. The blood specimens were collected at 1 hr before transport, 2.3 hrs (135 km) and 5 hrs (274 km) after the enrollment of transport, and 1, 6 and 18 hrs after fulfillment of transport. The collected blood specimens were analyzed for cortisol and epinephrine. Core temperature and heart rate were measured with active biotelemetry in every 30 minutes from 0.5 hr before the start of transport to 18 hrs after the end of transport. In results, the level of cortisol considerably increased to the peak either in Control group ($5.3{\pm}1.3{\mu}g/d{\ell}$) and in Treatment group ($4.0{\pm}2.6{\mu}g/d{\ell}$) at 2.3 hrs in transport. The concentration of epinephrine of Treatment group had been higher than that of Control group from the start of transport to 18 hrs after the fulfillment of transport. Particularly there was the biggest gap between Control and Treatment groups, $424.0{\pm}194.1pg/m{\ell}$ and $209.1{\pm}65.1pg/m{\ell}$ respectively, at 6 hrs after the end of transport. The heart rates were considerably increased either in Control group ($81.5{\pm}18.5$ to $126.3{\pm}7.8beats/min$) and in Treatment group ($114.3{\pm}14.4$ to $140.8{\pm}22.4beats/min$) with the enrollment of transport. These results indicate that the concentration of cortisol and the heart rate were pertinent to cognitive parameters to evaluate physiological responses against stress such as transport. In addition, the intravenous administration of electrolyte-mineral solution could be suggested as the method to decrease the adverse effects from a transport stress.

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항공사 브랜드 진정성이 소비자 태도에 미치는 영향 : LCC와 FSC의 차이를 중심으로 (The Effect of Airline Brand Authenticity: Focus on the Difference of LCC from FSC)

  • 송상연
    • 유통과학연구
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    • 제14권5호
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    • pp.115-123
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    • 2016
  • Purpose - Nowadays the competition between companies has been intensified in the aviation industry. It is hard to maintain successful market share in challenging managerial environment. Not long ago, a Korean major aviation company had faced social condemnation cause of managerial staff's immoral behaviors. That company suffers great losses in company brand value in terms of authenticity as an aviation company. This research tried to show the effect of brand authenticity in the aviation industry. First of all, this research tried to define the dimensions of the brand authenticities based on the former researches. This research suggested the airline brand authenticities as three kinds of dimensions. The dimensions of authenticities consist of performance aspects, symbolic aspects and moral aspects. And this research also tried to show the relationships between brand authenticities and consumers attitudes. Research design, data and methodology - The empirical research design is based on the experiments with six types of advertisement prototypes. The advertisement prototypes were based on three types of authenticities' characteristics. The prototypes were made of core statements about each authenticity. And the advertisement prototypes also were based on the aviation company types. The types of aviation companies could be divided into FSC(full service carrier)and LCC(low cost carrier). So the whole experiments were performed with six kinds of advertisement prototypes(3 brand authenticities X 2 aviation company types). The age of participants were from 20s to 40s. The proportion of participants' demographics are as follow. Age proportion is 50% of 20s and 50% of 30s and 40s. Gender proportion is 46% males and 54% females. The experiments performed through mobile devices. Advertisement prototypes were exposed to the participants through their mobile devices, and they answered the questionnaires. All the process of experiments were performed by a professional research firm to maintain the quality of data. Results - This research suggested some important outcomes as follow. First, brand authenticity had an important role to make a positive consumer attitude on the aviation company. All the three types advertisement of authenticities had a positive impact on the consumer attitude for the aviation company. Second, the three types of brand authenticities in the performance aspects, symbolic aspects, and moral aspects had a major impact on the consumers attitudes. The performance authenticity had the biggest effect on the consumer attitudes. Third, the types of aviation companies like FSC and LCC had a different correlation with types of authenticities. All the types of authenticities affected on the consumers attitudes in the FSC case. The symbolic authenticity had the biggest effect in the FSC case. But the performance authenticity showed the most striking effect in the LCC case. Conclusion - From this research, we can get a conclusion. The brand authenticity of aviation company should be managed carefully to maintain a positive brand image and consumers attitudes. And airline brand authenticities can be consist of three type dimensions. All the types of authenticities affects on the consumers attitudes positively. The symbolic authenticity affects more in the FSC case, and the performance authenticity influences more in the LCC case.

발전소에서 운전 중인 활선 6 kV CV 단심 cable의 도체온도에 따른 피복 표면온도 및 부하전류 특성 분석 (Analysis of Sheath Temperatures and Load Currents Dependent on Conductor Temperatures in Live 6kV CV Cables Operating at a Power Station)

  • 엄기홍
    • 한국인터넷방송통신학회논문지
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    • 제17권3호
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    • pp.189-195
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    • 2017
  • 발전소의 발전기에서 생산된 전기를 외부 단자로 공급하기 위하여 유일하게 사용되는 수단은 6 kV CV 단심 cable이다. 발전소에서 발생하는 여러 종류의 사고들 중에서 cable의 열화로 인한 화재 사고는 막대한 사회 경제적 손실을 초래한다. 설계부터 시공 및 관리를 더욱 철저히 해야 한다. 설치환경 및 사용 조건 부하량 등에 따라 차이가 있겠지만, 증설과정, 부적절한 설계 등으로 인하여 cable의 단면적이 부족할 경우가 발생하며, 운전 전류에 의하여 초과된 허용온도는 cable의 열화 상태를 초래한다. 우리는 cable의 사고를 체계적으로 감시 및 예방하기 위한 측정 장비를 개발, 한국서부발전 주식회사(Korea Western Power Co., Ltd.)에 설치하여 활선 cable을 진단하였다. 이 논문에서 우리는 cable이 설치되어 있는 주위환경 특히, 주위 온도에 따라 변동하는 cable의 피복표면의 온도를 측정하고 이에 따른 부하 전류를 검토한 결과를 제시한다. 실제 예로서 주위 온도가 $40^{\circ}C{\sim}10^{\circ}C$의 경우에 피복의 표면 온도와 부하전류의 특성을 연구한 결과를 제시한다.