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Design and Evaluation of a Scalding Animal Model by the Boiling Water Method
Cheng Hua,Lele Lyu,류현석,So Young Park,임남규,ABUEVA CELINE,Phil-Sang Chung 대한의학레이저학회 2020 MEDICAL LASERS Vol.9 No.1
Background and ObjectivesFor experiments on simulated burn, the preparation of an animal model is a very important step. The purpose of the current experiment is to design a simple and controllable method for the preparation of third-degree scald in a mouse model using the boiling water method. Materials and MethodsA total of 18 Swiss mice were used. After the anesthetization, the mice were scalded by boiling water (100°C) using a mold with a 1 cm2 circle area on the dorsum at contact times of 3s, 5s, and 8s. After confirming that 8 seconds of scald can cause a third-degree scald, the skin samples were collected at day 2, 4, 6, 8, 10, and 12, and analyzed by histopathological examinations. The wound retraction index (WRI) was also measured. ResultsThird-degree scald involving full-thickness skin was observed in the 8-second scald group, while a 3-second scald caused a superficial second-degree scald and a 5-second scald caused a deep second-degree scald. After third-degree scald, the burn wound continued to contract until day 14. ConclusionThe scalding model of mice can be successfully established by the boiling water method. This method is easy to operate, it has a low cost, and it can control the scald depth by controlling the scald time. This is adequate to study skin thermal injury in the future. The scald model established by this method can last for 14 days.
Adaptive High-order Variation De-noising Method for Edge Detection with Wavelet Coefficients
Chenghua Liu,Anhong Wang 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.2
This study discusses the high-order diffusion method in the wavelet domain. It aims to improve the edge protection capability of the high-order diffusion method using wavelet coefficients that can reflect image information. During the first step of the proposed diffusion method, the wavelet packet decomposition is a more refined decomposition method that can extract the texture and structure information of the image at different resolution levels. The high-frequency wavelet coefficients are then used to construct the edge detection function. Subsequently, because accurate wavelet coefficients can more accurately reflect the edges and details of the image information, by introducing the idea of state weight, a scheme for recovering wavelet coefficients is proposed. Finally, the edge detection function is constructed by the module of the wavelet coefficients to guide high-order diffusion, the denoised image is obtained. The experimental results showed that the method presented in this study improves the denoising ability of the high-order diffusion model, and the edge protection index (SSIM) outperforms the main methods, including the block matching and 3D collaborative filtering (BM3D) and the deep learning-based image processing methods. For images with rich textural details, the present method improves the clarity of the obtained images and the completeness of the edges, demonstrating its advantages in denoising and edge protection.
The causal structure of land finance, commercial housing, and social housing in China
Chenghua Jin,최막중 서울시립대학교 도시과학연구원 2019 도시과학국제저널 Vol.23 No.2
China has implemented the dual housing supply system consisting of commercial housing provided by the private sector and social housing provided by the public sector. Since commercial housing and social housing are mediated by the land finance of local governments, however, an increase in the supply of commercial housing contributes to the income of the land finance, which may, in turn, increase the public expenditure on the supply of social housing. Though the supply of commercial housing has increased and the size of the land finance has expanded in the process of rapid urbanization in China, however, statistics do not support that the supply of social housing has increased in proportion to the supply of commercial housing. The purpose of this paper is to empirically analyse the relationship among commercial housing supply, social housing supply, and the land finance in order to verify whether the two housing types are in the indirect, complementary relationship mediated by the land finance or in the direct, substitutive relationship. The cross-sectional data is used across 274 cities in China, based on the annual average values between 2009 and 2014 regarding each city's size of land finance and the amount of land supplied for construction purposes, which includes commercial housing and economic comfortable housing. By the path analysis results that commercial housing and ECH are not in the complementary relationship mediated by the land finance, but in the substitutive relationship as they have to compete each other to secure the limited land resources.
리청화(Chenghua Li),변동률(DongRyul Byun),박순철(Soon Choel Park) 한국산업정보학회 2010 한국산업정보학회논문지 Vol.15 No.2
본 논문에서는 역전파 신경망 알고리즘(BPNN: Back Propagation Neural Network)과 Singular Value Decomposition(SVD)를 이용하는 한글 문서 분류 시스템을 제안한다. BPNN은 학습을 통하여 만들어진 네트워크를 이용하여 문서분류를 수행한다. 이 방법의 어려움은 분류기에 입력되는 특징 공간이 너무 크다는 것이다. SVD를 이용하면 고차원의 벡터를 저차원으로 줄일 수 있고, 또한 의미있는 벡터 공간을 만들어 단어 사이의 중요한 관계성을 구축할 수 있다. 본 논문에서 제안한 BPNN의 성능 평가를 위하여 한국일보-20000/한국일보-40075 문서범주화 실험문서집합의 데이터 셋을 이용하였다. 실험결과를 통하여 BPNN과 SVD를 사용한 시스템이 한글 문서 분류에 탁월한 성능을 가지는 것을 보여준다. This paper proposes a Korean document categorization algorithm using Back Propagation Neural Network(BPNN) with Singular Value Decomposition(SVD). BPNN makes a network through its learning process and classifies documents using the network. The main difficulty in the application of BPNN to document categorization is high dimensionality of the feature space of the input documents. SVD projects the original high dimensional vector into low dimensional vector, makes the important associative relationship between terms and constructs the semantic vector space. The categorization algorithm is tested and compared on HKIB-20000/HKIB-40075 Korean Text Categorization Test Collections. Experimental results show that BPNN algorithm with SVD achieves high effectiveness for Korean document categorization.
중국의 삼림 보전 정책 - 퇴경환림정책에 관한 경제 분석 -
김승화 ( Chenghua Jin ),야부타마사히로 ( Masahiro Yabuta ) 전남대학교 지역개발연구소 2020 지역개발연구 Vol.52 No.1
본 연구의 목적은 중국의 삼림조림정책 중 하나인 퇴경환림정책에 초점을 맞추어 그 배경과 정책에 관하여 개관을 한 후 이론적인 분석을 추가하고, 이를 바탕으로 퇴경환림정책 수행요인에 대한 실증분석을 실시하는 것이다. 중국의 삼림정책(forestation policy)은 1990년대 후반 이후 기존의 생태림(천연림) 보전정책과 더불어 적극적으로 조림을 도모하는 퇴경환림정책(reforestation policy or grain-for-green policy) 등을 실시하고 있다. 1999년부터 시범 시행이 시작되어 2002년에 본격적으로 도입된 퇴경환림정책에 관하여 본 연구는 퇴경환림정책에 대한 전개상황을 정리하고 선행연구에서의 평가 등을 정리함과 동시에 그 이론구조를 명확히 하기 위하여 모형 분석을 하고 또 중국의 지역별 데이터를 이용해, 퇴경환 림정책 수행의 요인을 찾기 위해서 실증 분석을 실시한다. The purpose of this paper is to analyze the reforestation policy in China from empirical perspectives, focusing on the theoretical framework of its policy and effects on China's forest environment preservation. In China, the stance of forest policy changed drastically in 1998 when the flood-based disaster has occurred around the Changjiang River basin, caused by the development of land use from the forestly to agriculture to decrease the forest area at mountain regions to increase the crop production and the farmer's income. Since the late 1990s, China's forest policy (forestation policy) has changed from increasing the green forest (natural forests) in conjunction with the conservation policy, to promoting the afforestation policy to increase the forest area. The pilot project began in 1998, changed for the full-fledged version of the reforestation plan in 2003. Kyoku and Yabuta (2004), for example, gave a field research in Sichuan of China and investigated the income compensation program of converting the agriculture land to afforestation and issues such as business development and its sustainability. This paper analyses the development pattern of the reforestation policy in China, and carries out the model analysis and examines an empirical study to explore the causes of the reforestation plan execution.