• The Plant Pathology Journal
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• v.39 no.4
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• pp.319-334
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• 2023

Plant disease is an important factor affecting crop yield. With various types and complex conditions, plant diseases cause serious economic losses, as well as modern agriculture constraints. Hence, rapid, accurate, and early identification of crop diseases is of great significance. Recent developments in deep learning, especially convolutional neural network (CNN), have shown impressive performance in plant disease classification. However, most of the existing datasets for plant disease classification are a single background environment rather than a real field environment. In addition, the classification can only obtain the category of a single disease and fail to obtain the location of multiple different diseases, which limits the practical application. Therefore, the object detection method based on CNN can overcome these shortcomings and has broad application prospects. In this study, an annotated apple leaf disease dataset in a real field environment was first constructed to compensate for the lack of existing datasets. Moreover, the Faster R-CNN and YOLOv3 architectures were trained to detect apple leaf diseases in our dataset. Finally, comparative experiments were conducted and a variety of evaluation indicators were analyzed. The experimental results demonstrate that deep learning algorithms represented by YOLOv3 and Faster R-CNN are feasible for plant disease detection and have their own strong points and weaknesses.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.16 no.1
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• pp.65-73
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• 2020

Integrity evaluations on a platen superheater were conducted as per ASME Section VIII Division 2(hereafter 'ASME VIII(2)') which was originally used for design with implicit consideration of creep effects. A platen superheater subjected to severe loading conditions of high pressure and high temperature at creep regime in a supercritical thermal plant in Korea was chosen for present study. Additional evaluations were conducted as per nuclear-grade high-temperature design rule of RCC-MRx that takes creep effects into account explicitly. Comparisons of the two results from ASME VIII(2) and RCC-MRx were conducted to quantify the conservatism of ASME VIII(2). From present analyses, it was shown that the design evaluation results exceeded allowable limits of RCC-MRx for the plant design conditions although limits of ASME VIII(2) were satisfied regardless of operation time, which means that design as per ASME VIII(2) might be potentially non-conservative in case of operation in creep range. A high-temperature design evaluation program as per RCC-MRx, called 'HITEP_RCC-MRx' has been used and it was shown that pressure boundary components can be designed reliably with the program especially for the loading conditions of long-term creep conditions.

• Horticultural Science & Technology
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• v.31 no.6
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• pp.764-771
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• 2013

Recently, Cucumber mosaic virus (CMV)-P1 infection in pepper cultivation is very serious problem, which causes low marketability and yield. In this research, 56 domestic pepper cultivars including 20 PR (Phytophthora resistance) cultivars, 31 foreign pepper lines collected from USA and 112 genetic pepper resources form RDA Genebank were used for CMV-P1 resistance evaluation. Resistance evaluation was performed at 24 days and 51 days after artificial inoculation of peppers by enzyme-linked immunosorbent assay (ELISA). Among the 36 domestic cultivars 'Muhanjilju' were resistant to CMV-P1. All 20 PR cultivars and 29 foreign peppers except 'NuMex Twilight' and 'Chainese Giant' were susceptible. Among 112 pepper lines from RDA Genebank, nine pepper lines were resistant, and 17 pepper lines were moderately resistant, and 86 pepper lines were susceptible. Almost all domestic peppers on the market were highly susceptible to CMV-P1, whereas 17.2% of foreign pepper cultivars and genetic pepper lines from RDA Genebank were resistant or moderately resistant. Resistant pepper lines selected in this study can be used as genetic sources for breeding CMV-P1 resistant pepper.

• Korean journal of applied entomology
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• v.44 no.3 s.140
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• pp.243-249
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• 2005

We investigated the repellency of eight mosquito repellents against Culex pipiens pallens and Aedes albopictus, and the quantity of DEETs were analysed by using gas chromatography. Ae. albopictus showed higher bloodsucking efficacy than Cx. pipiens pallens of the two subjects mouse and human hands, and human hand was more efficacious method for mosquito bloodsucking efficacy than mouse. Among the eight repellents were tested with mouse as subjects for eight hours, product C, G, and H were high repellency than others. In the case of human hands as subject, product C was highly effective than above other products. The DEET quantities of eight repellants varied from 7.31 g to 38.9 g in 100 g contents and we ascertained that there was a correlation between mosquito repellency and the DEET quantities remained after the treatments. It was evidenced from the long term test with shirt piece, in this test the Ae. albopictus attack was increased when the DEET quantity decreased below 40%.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.3259-3263
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• 2007

This paper describes the proceedings of creating countermeasures after analysis and maintenance be able to conduct operation safely in a power plant. in order to operate the power plant in a stable and reliable way, the best condition of the govemor system can be maintained through the response characteristic analysis of the control device for the pitch blade control hydraulic actuator. The fan pitch blade control hydraulic actuator of a 500MW large-scale boiler is frequently operated under normal operation conditions. Common problems or malfunctions of the pitch blade control hydraulic actuators leads to the decline of boiler thermal efficiency and unexpected power plant trip. The inlet and outlet gas can be controlled by using the fan pitch blade control hydraulic actuator in order to regulate the internal pressure of the furnace and control the frequency in the power plant facility which utilizes soft coals as a power source.

• Journal of the Korean Society of Tobacco Science
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• v.4 no.2
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• pp.31-36
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• 1982

The field evaluation were conducted on dihaploid progenies derived from anther culture of F1 plant of Drama x Sohyang (N. tabacum L.) The mean values of agronomic and chemical traits of dihaploids such as Nicotine, length/width, plant height, Leaf length, leaves per plant and Yield were greater than those of tar parents. The correlation coefficient of dihaploids were similar to those of conventional lines and varieties. In path analysis, in relating yield components to yield, leaves per plant and leaf width had a direct effect on Yield, but the other components such as plant height, leaf length and days to flowering influenced Yield indirect way.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2304-2308
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• 2003

Ocean thermal energy conversion (OTEC) is an effective method of power generation, which has a small impact on the environment and can be utilized semi-permanently. This paper describes a dynamic model for a pilot OTEC plant built by the Institute of Ocean Energy, Saga University, Japan. This plant is based on Uehara cycle, in which binary mixtures of ammonia and water is used as the working fluid. Some simulation results attained by this model and the analysis of the results are presented. The developed computer simulation can be used to actual practice effectively, such as stable control in a steady operation, optimal determination of the plant specifications for a higher thermal efficiency and evaluation of the economic prospects and off-line training for the operators of OTEC plant.

• Journal of the Korean Society for Nondestructive Testing
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• v.28 no.6
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• pp.469-476
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• 2008

Condition based maintenance(CBM) for the preventive diagnosis of important equipments related to safety or accident in power plant is essential by using the suitable methods based on actual power plant conditions. To improve the reliability and accuracy of the measured value at the minute leak situation, and also to monitor continuously internal leak condition of power plant valve, the development of a diagnosis and monitoring technique using multi-measuring method should be performed urgently. This study was conducted to estimate the feasibility of multi-measuring method using three different methods such as acoustic emission(AE) method, thermal image measurement and temperature difference$({\Delta}T)$ measurement that are applicable to internal leak diagnosis for the power plant valve. From the experimental results, it was suggested that the multi-measuring method could be an effective way to precisely diagnose and evaluate internal leak situation of valve.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.1 no.3
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• pp.235-243
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• 1989

The purpose of this paper is to obtain enthalpy balance and exergy analysis for the energy losses in a steam power plant. The enthalpy and exergy analysis of the steam power plant were carried out on the various output of steam turbine. While enthalpy analysis shows that circulating loss in the condenser is maximum, exergy evaluation of the power plant shows that the losses of the boiler and turbine are considerably larger than those of condenser and feed water heater. Most irreversible losses of the power plant occur at the boiler. For improving the performance, the precise study about the irreversible losses of the boiler is necessary.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.642-648
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• 2008

In order to analyze the causes of fossil power plant facilities due to a degradation and corrosion, artificial degraded materials composed of the facilities were manufactured. Various experiment were performed based on mechanical test, microstructure observation, hardness test, electrochemical potentiokinetic reactivation test(EPR) and corrosion scale thickness measurement test. The master curves were write out using Larson-Miller parameter to evaluate the degree of degradation with the above diagnosis methods. These data were applied to materials database of fossil power plant diagnosis. Finally expert system on the fossil power plant diagnosis was developed using the master curves and diagnosis algorithms.