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Effects of Desalinization Management on Rice Yield in Sea Water Flooded Field
Sang-Su Kim,Won-Ha Yang,Weon-Young Choi,Hong-Kyu Park,Min-Gyu Choi,Nam-Hyun Back,Si-Yong Kang,Hyun-Tak Shin,Soo-Yeon Cho,Seog-Ju Kwon,Bok-Rae Ko 韓國作物學會 1999 Korean journal of crop science Vol.44 No.1
Over 2,000 ha of rice fields in the western and southern coastal region of Korea were flooded with sea water during the spring tide, on August 19-21, 1997, and the rice plant at heading stage was injured. The field surveys were undertaken at the sea water flooded paddy fields in Chonbuk Province, to identify the injury symptoms and rice yield damage subjected to different flooding condition and desalinization methods. Five days after sea water flooding at heading stage, the flag leaves of rice plants flooded with 30 ㎝ deep sea water withered from the tip, the withering progressed to the lower leaves in deeper flooding. The spikelets were spotted black and discolored from the tip at 50 ㎝ deep flooded rice, and some panicles changed to white at 80 ㎝ deep flooded rice. Most of the rice leaves submerged completely for an hour were withered and most of panicles changed to white. The milled rice yield, percentage of ripened grain, and 1000 grain weight of flooded rice decreased with deeper flooding water, higher water salinity and longer flooding time. Even under the same flooding conditions, the damage of rice yield varied with the growth stage: heading stage>dough stage>booting stage. Rice yield damage was less in the fields on the upper riverside than those of the fields on the estuary and seaside, because of lower water salinity. In a flooded field, the rice yield damages were reduced as the distance increased from the levees where the sea water inflowed and increased as the distance increased from the fresh water irrigation gate. The desalinization treatments consisting of frequent exchange of irrigation water and spraying with fresh water soon after flooding effectively reduced the rice yield damage.
Predictors of Cardiogenic and Non-Cardiogenic Causes in Cases with Bilateral Chest Infiltrates
( Yeon Joo Lee ),( Jin Woo Lee ),( Young Sik Park ),( Sang Min Lee ),( Jae Joon Yim ),( Chul Gyu Yoo ),( Young Whan Kim ),( Sung Koo Han ),( Chang Hoon Lee ) 대한결핵 및 호흡기학회 2013 Tuberculosis and Respiratory Diseases Vol.74 No.1
Background: Differentiating cardiogenic pulmonary edema from other bilateral lung diseases such as pneumonia is frequently difficult. We conducted a retrospective study to identify predictors for cardiogenic pulmonary edema and non-cardiogenic causes of bilateral lung infiltrates in chest radiographs. Methods: The study included patients who had newly developed bilateral lung infiltrates in chest radiographs and patients who underwent echocardiography. Cases were divided into two groups based on the echocardiographic findings: the cardiogenic pulmonary edema group and the non-cardiogenic group. Clinical characteristics and basic laboratory findings were analyzed to identify predictors for differential diagnosis between cardiogenic and non-cardiogenic causes of bilateral chest infiltrates. Results: We analyzed 110 subjects. Predictors of cardiogenic pulmonary edema were higher brain natriuretic peptide (BNP) levels, lower C-reactive protein (CRP) levels on the day of the event (<7 mg/dL), age over 60 years, history of heart disease, and absence of fever and sputum. CRP on the day of the event was an independent factor to differentiate cardiogenic and non-cardiogenic causes of newly developed bilateral chest infiltrates. Also, the validity was comparable to BNP. Conclusion: Clinical symptoms (sputum and fever), medical history (dyslipidemia and heart disease), and laboratory findings (BNP and CRP) could be helpful in the differential diagnosis of patients with acute bilateral lung infiltrates in chest radiographs.
Variations of AlexNet and GoogLeNet to Improve Korean Character Recognition Performance
( Sang-geol Lee ),( Yunsick Sung ),( Yeon-gyu Kim ),( Eui-young Cha ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1
Deep learning using convolutional neural networks (CNNs) is being studied in various fields of image recognition and these studies show excellent performance. In this paper, we compare the performance of CNN architectures, KCR-AlexNet and KCR-GoogLeNet. The experimental data used in this paper is obtained from PHD08, a large-scale Korean character database. It has 2,187 samples of each Korean character with 2,350 Korean character classes for a total of 5,139,450 data samples. In the training results, KCR-AlexNet showed an accuracy of over 98% for the top-1 test and KCR-GoogLeNet showed an accuracy of over 99% for the top-1 test after the final training iteration. We made an additional Korean character dataset with fonts that were not in PHD08 to compare the classification success rate with commercial optical character recognition (OCR) programs and ensure the objectivity of the experiment. While the commercial OCR programs showed 66.95% to 83.16% classification success rates, KCR-AlexNet and KCR-GoogLeNet showed average classification success rates of 90.12% and 89.14%, respectively, which are higher than the commercial OCR programs’ rates. Considering the time factor, KCR-AlexNet was faster than KCR-GoogLeNet when they were trained using PHD08; otherwise, KCR-GoogLeNet had a faster classification speed.
Effect of In Vivo Embryo Production and Embryo Transfer Following Superovulation in Hanwoo
Sang-Rae Cho,Sun-Ho Choi,ChangYong Choe,Jun-Kyu Son,Soo-Ho Choi,Young-joo Kim,Poongyeon Lee,Yeoung-Gyu Ko,Sung-Heum Yeon,Jin-Woo Jung,Sung-Jae Kim,Yeon-Sub Jung,Nan-Hee Bok,Hyun-Jong Kim,Dong-Soo Son 한국동물생명공학회(구 한국동물번식학회) 2010 발생공학 국제심포지엄 및 학술대회 Vol.2010 No.1