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| 1 | Apple leaf disease identification using genetic algorithm and correlation based feature selection method显示文摘Apple leaf disease is one of the main factors to constrain the apple production and quality.It takes a long time to detect the diseases by using the traditional diagnostic approach,thus farmers often miss the best time to prevent and treat the diseases.Apple leaf disease recognition based on leaf image is an essential research topic in the field of computer vision,where the key task is to find an effective way to represent the diseased leaf images.In this research,based on image processing techniques and pattern recognition methods,an apple leaf disease recognition method was proposed.A color transformation structure for the input RGB(Red,Green and Blue)image was designed firstly and then RGB model was converted to HSI(Hue,Saturation and Intensity),YUV and gray models.The background was removed based on a specific threshold value,and then the disease spot image was segmented with region growing algorithm(RGA).Thirty-eight classifying features of color,texture and shape were extracted from each spot image.To reduce the dimensionality of the feature space and improve the accuracy of the apple leaf disease identification,the most valuable features were selected by combining genetic algorithm(GA)and correlation based feature selection(CFS).Finally,the diseases were recognized by SVM classifier.In the proposed method,the selected feature subset was globally optimum.The experimental results of more than 90%correct identification rate on the apple diseased leaf image database which contains 90 disease images for there kinds of apple leaf diseases,powdery mildew,mosaic and rust,demonstrate that the proposed method is feasible and effective. | Zhang Chuanlei Zhang Shanwen Yang Jucheng Shi Yancui Chen Jia | 2017 | International Journal of Agricultural and Biological Engineering2017，10，2： | 7 |
| 2 | Characterization and Trading of Energy Level and Energy Shift Considering Virtual Power Plant显示文摘The capability of shifting the electricity generation or consumption to proper time of the day,also defined as energy shift(ES),is the key factor to ensure the power balance,especially under high penetration of variable renewable energy(VRE).However,the ES is not characterized and traded as an independent product in current market mechanisms.In this letter,the marginal utility of an ES is assessed and leveraged to characterize the effective ES,while a novel market scheme is proposed considering the trading of both ES and energy level(EL).The proposed scheme can well integrate ES producers such as virtual power plants that cannot be rewarded sufficiently to actively participate in the current market because they are principally labeled as EL consumers.Finally,the novel concept and mechanism are illustrated by a numerical study and verified to outperform the existing price schemes on integrating the ES resources and VRE. | Shuai Fan Jucheng Xiao Zuyi Li Guangyu He | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，6： | 3 |
| 3 | A two‐branch network with pyramid‐based local and spatial attention global feature learning for vehicle re‐identification显示文摘In recent years,vehicle re‐identification has attracted more and more attention.How to learn the discriminative information from multi‐view vehicle images becomes one of the challenging problems in vehicle re‐identification field.For example,when the viewpoint of the image changes,the features extracted from one image may be lost in another image.A two‐branch network with pyramid‐based local and spatial attention global feature learning(PSA)is proposed for vehicle re‐identification to solve this issue.Specifically,one branch learns local features at different scales by building pyramid from coarse to fine and the other branch learns attentive global features by using spatial attention module.Subsequently,pooling operation by using global maximum pooling(GMP)for local features and global average pooling(GAP)for global feature is performed.Finally,local feature vectors and global feature vector extracted from the last pooling layer,respectively,are employed for identity re‐identification.The experimental results demonstrate that the proposed method achieves state‐of‐the‐art results on the VeRi‐776 dataset and VehicleID dataset. | Jucheng Yang Di Xing Zhiqiang Hu Tong Yao | 2021 | CAAI Transactions on Intelligence Technology2021，6，1： | 2 |
| 4 | Prevention of the progression of chronic kidney disease,Practice in China显示文摘 | HAIYAN WANG LUXIA ZHANG JUCHENG | | 0，，94： | 1 |
| 5 | Text Categorization Algorithms Using Semantic Approaches, Corpus-based Thesaurus and WordNet显示文摘 | Li Chenghua Yang Jucheng Park S C | 2012 | Expert Systems with Applications2012，39，1： | 1 |
| 6 | Fingerprint matching based on extreme learning machine显示文摘 | Jucheng Yang Shanjuan Xie Sook Yoon Dongsun Park Zhijun Fang Shouyuan Yang | 2013 | Neural Computing and Applications2013，，3： | 1 |
| 7 | TGF-13-de- pendent SMAD2 phosphorylation and inhibition of MEE prolif- eration during palatal fusion 显示文摘 | Xiao-Mei Cui Yang Chai Jucheng Chen | 2003 | Developmental Dyn2003，227，3： | 1 |
| 8 | Evaporative Cooling Applied in Thermal Power Plants:A Review of the State-ofthe-Art and Typical Case Studies显示文摘A review is conducted about the application of the evaporative cooling technology in thermal power plants.Different case studies are considered,namely,evaporative air conditioners,evaporative cooling in direct air-cooled systems,gas turbine inlet cooling,wet cooling towers,and hybrid cooling towers with a crosswind effect.Some effort is provided to describe the advantages related to direct evaporative cooling when it is applied in thermal power plants and illustrate the research gaps,which have not been filled yet.In particular,typical case studies are intentionally used to compare the cooling performances when direct evaporative cooling is implemented in different types of cooling towers,including the natural draft wet cooling tower(NDWCT)and the pre-cooled natural draft dry cooling tower(NDDCT).It is shown that the NDWCT provides the best cooling performance in terms of power station cooling,followed by the pre-cooled NDDCT,and the NDDCT;moreover,the evaporative pre-cooling is able to enhance the cooling performance of NDDCT.Besides,on a yearly basis,better NDDCT cooling performances can be obtained by means of a spray-based pre-cooling approach with respect to wet media pre-cooling.Therefore,the use of nozzle spray is suggested for improvement in the performance of indirect/direct air-cooling systems with controlled water consumption. | Tiantian Liu Huimin Pang Suoying He Bin Zhao Zhiyu Zhang Jucheng Wang Zhilan Liu Xiang Huang Yuetao Shi Ming Gao | 2023 | Fluid Dynamics & Materials Processing2023，19，9： | 0 |
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