http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
공조기 필터차압관리에 의한 팬동력 에너지 저감 평가 및 운용시스템 개발
곽노열,원근호,정광우,허정호 대한건축학회 2004 대한건축학회논문집 Vol.20 No.5
This paper presents the results of research into the problem of air filter management related with the air filter-associated fan energy consumption. Both energy performance data and air filter differential pressure of AHU in real commercial buildings were monitored and analyzed to investigate quantitatively energy impact as dust buildup level on air filter grows. An empirical equation was suggested through the regression analysis of multiple independent variables. An air filter differential pressure management model is also proposed and described as being an economical strategy in preventing high energy consumption. The system can create a useful alarm on a real time basis which would detect when an air filter needs to be changed and alert the building operator to do so, thereby minimizing the energy consumed by the air conditioning system.
기장도,박치영,류보열,김태종,모성환,곽재정,문철호,박근홍,박유환,정춘해 朝鮮大學校 附設 醫學硏究所 1996 The Medical Journal of Chosun University Vol.21 No.1
Chronic neutrophilic leukemia is a very rare myeloproliferative disorder which is characterized by severe sustained mature neutrophilic leukocytosis in peripheral blood (PB), hepatosplenomegaly, elevated leukocyte alkaline phosphatase, serum uric acid. serun viatmin B 12 and the bleeding tendency despite normal platelet count and coagulation time, absence of philadelphia chromosome, and the absence of fever or underlying infection or disease sufficient to mimic a leukemoid reaction. We have experienced a 34-years-old male patient with atypical chronic neutrophilic leukemia. On admission, the leukocyte count was 56,860/uL. severe neutrophic leukocytosis with 76% neutrophils and rare immature forms on PB smear. Many neutrophils had toxic granules, and vacuoloes. Leukocyte alkaline phosphatase score was decreased. The cytogenetic study showed Philadelphia chromosome negative with normal karyotype.
Geun-Ho Kwak,Chan-Won Park,Ho-Yong Ahn,Sang-Il Na,Kyung-Do Lee,박노욱 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.4
This study investigates the potential of bidirectional long short-term memory (Bi-LSTM) for efficient modeling of temporal information in crop classification using multitemporal remote sensing images. Unlike unidirectional LSTM models that consider only either forward or backward states, Bi-LSTM could account for temporal dependency of time-series images in both forward and backward directions. This property of Bi-LSTM can be effectively applied to crop classification when it is difficult to obtain full time-series images covering the entire growth cycle of crops. The classification performance of the Bi-LSTM is compared with that of two unidirectional LSTM architectures (forward and backward) with respect to different input image combinations via a case study of crop classification in Anbadegi, Korea. When full time-series images were used as inputs for classification, the Bi-LSTM outperformed the other unidirectional LSTM architectures; however, the difference in classification accuracy from unidirectional LSTM was not substantial. On the contrary, when using multitemporal images that did not include useful information for the discrimination of crops, the Bi-LSTM could compensate for the information deficiency by including temporal information from both forward and backward states, thereby achieving the best classification accuracy, compared with the unidirectional LSTM. These case study results indicate the efficiency of the Bi-LSTM for crop classification, particularly when limited input images are available.
Kwak, Geun-Ho,Park, Soo-Jin,Lee, Jae-Rock 공주대학교 자원재활용신소재지역협력센터 2000 2차년도 센터 사업 성과집 Vol.2000 No.1
The effect of the composition of an epoxy blend based on a cycloaliphatic (CAE) and diglycidyl ether of bisphenol A (DGEBA) epoxides containing N-benzylpyrazinium hexafluoroantimonate (BPH) as a thermal or UV latent initiator was investigated in the context of their thermal stability and mechanical properties. The compositions of a CAE-DGEBA blend were varied within 100:0, 80:20, 60:40, 20:80 and 0: 100 by mole percent. Latent properties were measured by the degree of conversion. As a result, the thermal stability characterized from the initial decomposition temperature (IDT), the temperature of maximum weight loss (Tmax), the integral procedural decomposition temperature (IPDT), and the decomposition activation energies by TGA increased when the DGEBA composition was increased. According to the mechanical measurements, the flexural and tensile strengths increased with an increase of the DGEBA composition because of the compact hydrogen bond, long repeat unit, and bulky side groups of the DGEBA, while both the elastic and tensile moduli decreased. This latter result was attributed to the DGEBA intermolecular interaction, resulting in a toughened three-dimensional network, which dispersed the internal stress. ⓒ 2000 John Wiley & Sons. Inc. J Appl Polym Sci 78: 290-297, 2000
Effect of GA3 and BA on Plant Growth of Ranunculus Cultivars
Ho-Geun Kwak,Young Ran Lee,Youn Jung Choi,Su Young Lee,Yun-Im Kang 한국화훼학회 2018 화훼연구 Vol.26 No.4
Ranunculus asiaticus characterizes colorful and attractive flower shapes that are related with the ornamental value of bulbous plants. Improving ornamental value of bulbous flowers has been the general goal of floricultural market. Gibberellic acid (GA3) and benzyladenine (BA) play an important role in growth and developmental processes in floriculture. Combinational treatments of these two hormones have been used in floriculture to improve flower quality. We assessed the effects of combined GA3 and BA, as well as the individual effects of each hormone, on growth characteristics using soil drench application to eight R. asiaticus cultivars, ‘Giallo Millepetali’, ‘Bianco Millepetali’, ‘Arancio Millepetali’, ‘Rosa SC’, ‘Arancio Pratolino’, ‘Giallo Pratolino’, ‘Bianco Pratolino’, and ‘Rosa Ch Pratolino’. GA3 treatments increased plant height and first flower size of R. asiaticus cultivars. Moreover, about 5 to 9 days to flowering were averagely shortened by GA3 treatments compared to controls. On the other hand, the opposites, including first flower size and days to flowering, were observed for cultivars treated with BA, compared with controls. Treatments of GA3 + BA generally affected growth traits, such as plant height, flower size, and the timing of flowering on some R. asiaticus cultivars. In particular, about 5 to 6 days to flowering were reduced on average by Treatments of GA3 + BA. Our results showed positive growth effects, including plant height, days to flowering, first flower height, number of flowers from the application of individual and combined hormones to R. asiaticus cultivars and demonstrate a role for these hormones in future bulbous floriculture.
Kwak, Geun-Ho,Park, No-Wook,Kyriakidis, Phaedon C. The Korean Society of Remote Sensing 2018 大韓遠隔探査學會誌 Vol.34 No.1
Spatial downscaling is often applied to coarse scale satellite products with high temporal resolution for environmental monitoring at a finer scale. An area-to-point regression kriging (ATPRK) algorithm is regarded as effective in that it combines regression modeling and residual correction with area-to-point kriging. However, an open source tool or package for ATPRK has not yet been developed. This paper describes the development and code organization of an R-based spatial downscaling tool, named R4ATPRK, for the implementation of ATPRK. R4ATPRK was developed using the R language and several R packages. A look-up table search and batch processing for computation of ATP kriging weights are employed to improve computational efficiency. An experiment on spatial downscaling of coarse scale land surface temperature products demonstrated that this tool could generate downscaling results in which overall variations in input coarse scale data were preserved and local details were also well captured. If computational efficiency can be further improved, and the tool is extended to include certain advanced procedures, R4ATPRK would be an effective tool for spatial downscaling of coarse scale satellite products.
( Geun-ho Kwak ),( No-wook Park ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.4
This study proposes a two-stage hybrid classification model for crop classification using multi-temporal remote sensing images; the model combines feature embedding by using an autoencoder (AE) with a convolutional neural network (CNN) classifier to fully utilize features including informative temporal and spatial signatures. Long short-term memory (LSTM)-based AE (LAE) is fine-tuned using class label information to extract latent features that contain less noise and useful temporal signatures. The CNN classifier is then applied to effectively account for the spatial characteristics of the extracted latent features. A crop classification experiment with multi-temporal unmanned aerial vehicle images is conducted to illustrate the potential application of the proposed hybrid model. The classification performance of the proposed model is compared with various combinations of conventional deep learning models (CNN, LSTM, and convolutional LSTM) and different inputs (original multi-temporal images and features from stacked AE). From the crop classification experiment, the best classification accuracy was achieved by the proposed model that utilized the latent features by fine-tuned LAE as input for the CNN classifier. The latent features that contain useful temporal signatures and are less noisy could increase the class separability between crops with similar spectral signatures, thereby leading to superior classification accuracy. The experimental results demonstrate the importance of effective feature extraction and the potential of the proposed classification model for crop classification using multi-temporal remote sensing images.