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KDD Based on Double-Base Cooperating Mechanism and Its Realization of Software

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Journal of Systems engineering and Electronics 1999年第4期10卷 1-9页

作者： Yang Bingru & shen jiangtao(information engineering school, university of science and technology, beijing100083, P. R. china) information engineering school University of Science and Technology Beijing 100083. P. R. China

On the basis of KDD(Knowledge Discovery based on Database), this paper proposesthe general framework of open KDD system, discusses its theoretical foundation and realization of technology of its key technology-double base cooperating mechanism, and especially introduces themining method of cause-and-effect rule. The result of initial illustration shows that the structure ofKDD is effective and available.

关键词： Knowledge discovery Cooperating mechanism General framework Cause statistic induction.

Prediction model for the initial seed clearing angles of a precision seed meter based on vector fields

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International Journal of Agricultural and Biological engineering 2024年第2期17卷 140-148页

作者： Wan Jiao Junjie Zhang Xuhui Chen Hao shen Yuxiang Huang jiangtao Shi College of Mechanical and Electric engineering Northwest A&F UniversityYangling 712100ShaanxiChina Xi’an YaAo Agricultural Machinery Ltd Xi’an 710300China

Seed clearing is a critical stage during precision seed metering process to ensure high seed ***,there is a lack of understanding of the dynamics in the seed clearing *** this study,a model was developed to predict initial seed clearing angle,in the seed clearing process using vector *** model was applied to an existing high-speed metering device and soybean seeds,and the model was evaluated with bench testing *** showed that dynamic changes in forces and constraints of seeds during the seed clearing process could be abstracted as vectors,and the changes of vector directions could be described by their phase *** phase angles were functions of the rotational angle of the seed *** phase angle of the constraint boundary linearly increases with the increase of the rotational *** phase angle of the force fluctuates,as the rotational angle *** seed clearing angle obtained from the phase angles varies from 8°to 59°,depending on the seeder travel *** comparing the values of the initial seed clearing angles predicted by the model with those from the bench tests,the root mean square error(RMSE)were from 2.73 to 3.14,and the correlation(r)between predict and observer were all higher than 0.98,indicating that the model had reasonably good accuracy.

关键词： mechanical precision seeder initial seed clearing angle prediction model vector fields high-speed photography technology

Image stylization with enhanced structure on GPU

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science china(information sciences) 2012年第5期55卷 1093-1105页

作者： LI Ping 1,SUN HanQiu 1,shenG Bin 1,2 & shen JianBing 3 1 Department of Computer science and engineering,The Chinese university of Hong Kong,Hong Kong,china 2 Department of Computer science and engineering,Shanghai Jiao Tong university,Shanghai 200240,china 3 school of Computer science and technology,beijing Institute of technology,beijing 100081,china 1. Department of Computer science and engineering The Chinese University of Hong Kong Hong Kong China2. Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China3. School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

This paper presents a graphics processing unit (GPU) based stylization approach that preserves the fine structure between the original and the stylized images using gradient *** abstraction and painterly stylization methods focused on contrast manipulation only,and thus the detailed salient structures of the input images are always destroyed when performing the current stylization techniques because of limitations like unavoidable salience information loss caused by contrast *** propose an image structure map to naturally model the fine structure existing in the original ***-based structure tangent generation and tangent-guided image morphology are used to construct the structure *** image structure map,unlike an edge map,not only systematically models the boundary information within the imagery but also accentuates the underlying inner structure detail for further *** facilitate the final stylization via parallel bilateral grid and structure-aware stylizing optimization on a GPU-CUDA platform in real *** multiple experiments,the proposed method consistently demonstrates efficient and high quality image stylization performance.

关键词： image stylization non-photorealistic rendering real-time processing GPU image abstraction

A new simulated annealing method of designing NMR biplanar shim coils

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Progress in Natural science:Materials International 2006年第7期16卷 747-752页

作者： QI Feng, TANG Xin, WANG Weimin, shen Yifei, LIU Shaopo and JIANG Zhongde ( Key Laboratory for Quantum information and Measurements of Ministry of Education, school of Electronics engineering & Computer science, Peking university, beijing 100871, china Institute of Heavy Ion Physics, and beijing Key Laboratory of Medical Physics and engineering, Physical school, Peking university, beijing 100871, china) [a]Key Laboratory for Quantum information and measurements of ministry of Education School of Electronics Engineering & Computer Science Peking University Beijing China [b]Institute of Heavy Ion Physics and Beijing Key laboratory of Medical Physics and Engineering Physical School Peking University Beijing China

A new SA (simulated annealing) method is presented for the design of longitudinal shim coils for NMR (nuclear magnetic resonance) equipment. First, AGL (adaptive Gauss-Lobatto) quadrature used by the traditional SA method is analyzed. Two kinds of complete elliptic integrals are introduced to integrate the spatial magnetic field, which increases the computing speed by 13. 3 times. Then, the system energy calculation is extended to the field of the z-axis. The results illustrate that the coil-set efficiency designed by the new SA method is 15 % higher than that of the traditional one, and the field inhomogeneity is reduced from 1.20 % to 0.49 % . Finally, a prototype of coil assembly for NMR rock-core analyzer is built, and the experimental results are in good agreement with the theoretically calculated results.

关键词： NMR shim coil design simulated-annealing method complete elliptic integral.

Java Cryptography Architecture and information Security

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International Journal of Systems and Control

International Journal of Systems and Control 2008年第2期 111-120页

作者： shen Guicheng1,2, ZHENG Xuefeng1 1. school of information engineering, beijing university of science and technology, beijing, 100083, china 2. school of information, beijing Wuzi university, beijing, 101149, china

In this paper, the security of Electronic Commerce and the security methods are introduced firstly. Then, the history of Java Security Architecture and its design principles are described. After that, partial implementation of Elliptic Curve Cryptosystem developed with Java is discussed. In the end, the advantages of Electronic Commerce Systems developed with Java language and Java Security Architecture are displayed.

关键词： information Security public-key Cryptography Java Security Architecture Elliptic Curve Cryptography

Online diagnosis platform for tomato seedling diseases in greenhouse production

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International Journal of Agricultural and Biological engineering 2024年第1期17卷 80-89页

作者： Xin Jin Xiaowu Zhu jiangtao Ji Mingyong Li Xiaolin Xie Bo Zhao College of Agricultural Equipment engineering Henan University of Science and TechnologyLuoyang 471003HenanChina science&technology Innovation Center for Completed Set Equipment Longmen LaboratoryLuoyang 471023HenanChina Institute of Mechatronics technology and Application China Mechanized Agriculture Science Research Institute Group Co.LtdBeijing 100020China

The facility-based production method is an important stage in the development of modern agriculture,lifting natural light and temperature restrictions and helping to improve agricultural production *** address the problems of difficulty and low accuracy in detecting pests and diseases in the dense production environment of tomato facilities,an online diagnosis platform for tomato plant diseases based on deep learning and cluster fusion was proposed by collecting images of eight major prevalent pests and diseases during the growing period of tomatoes in a facility-based *** diagnostic platform consists of three main parts:pest and disease information detection,clustering and decision-making of detection results,and platform diagnostic ***,based on the You Only Look Once(YOLO)algorithm,the key information of the disease was extracted by adding attention module(CBAM),multi-scale feature fusion was performed using weighted bi-directional feature pyramid network(BiFPN),and the overall construction was designed to be compressed and lightweight;Secondly,the k-means clustering algorithm is used to fuse with the deep learning results to output pest identification decision values to further improve the accuracy of identification applications;Finally,a detection platform was designed and developed using Python,including the front-end,back-end,and database of the system to realize online diagnosis and interaction of tomato plant pests and *** experiment shows that the algorithm detects tomato plant diseases and insect pests with mAP(mean Average Precision)of 92.7%,weights of 12.8 Megabyte(M),inference time of 33.6 *** with the current mainstream single-stage detection series algorithms,the improved algorithm model has achieved better performance;The accuracy rate of the platform diagnosis output pests and diseases information of 91.2%for images and 95.2%for *** is a great significance to tomato pest control research and t

关键词： pest and disease detection YOLO diagnosis platform k-means clustering facility production base

Object-oriented land cover classification using HJ-1 remote sensing imagery

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science china Earth sciences 2010年第S1期53卷 34-44页

作者： SUN ZhongPing1,shen WenMing1,WEI Bin1,LIU XiaoMan1,SU Wei2,ZHANG Chao2 & YANG JianYu2 1 Satellite Environment Center,Ministry of Environmental Protection,beijing 100094,china 2 College of information and Electrical engineering,china Agricultural university,beijing 100083,china 1. Satellite Environment Center Ministry of Environmental Protection Beijing 100094 China2. College of Information and Electrical Engineering China Agricultural University Beijing 100083 China

The object-oriented information extraction technique was used to improve classification accuracy,and addressed the problem that HJ-1 CCD remote sensing images have only four spectral bands with moderate spatial *** used two key techniques:the selection of optimum image segmentation scale and the development of an appropriate object-oriented information extraction *** the principle of minimizing merge cost of merging neighboring pixels/objects,we used spatial autocorrelation index Moran's I and the variance index to select the optimum segmentation *** Nearest Neighborhood(NN) classifier based on sampling and a knowledge-based fuzzy classifier were used in the object-oriented information extraction *** this classification step,feature optimization was used to improve information extraction accuracy using reduced data *** two techniques were applied to land cover information extraction for Shanghai city using a HJ-1 CCD *** indicate that the information extraction accuracy of the object-oriented method was much higher than that of the pixel-based method.

关键词： HJ-1 remote sensing imagery object-oriented optimum scale of image segmentation Nearest Neighborhood(NN) classification fuzzy classification

Detection of the farmland plow areas using RGB-D images with an improved YOLOv5 model

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International Journal of Agricultural and Biological engineering 2024年第3期17卷 156-165页

作者： jiangtao Ji Zhihao Han Kaixuan Zhao Qianwen Li Shucan Du College of Agricultural Equipment engineering Henan University of Science and TechnologyLuoyang 471003HenanChina science&technology Innovation Center for Completed Set Equipment Longmen LaboratoryLuoyang 471023HenanChina Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Luoyang 471003HenanChina school of Art and Design Henan University of Science and TechnologyLuoyang 471003HenanChina

Recognition of the boundaries of farmland plow areas has an important guiding role in the operation of intelligent agricultural *** precisely recognize these boundaries,a detection method for unmanned tractor plow areas based on RGB-Depth(RGB-D)cameras was proposed,and the feasibility of the detection method was *** method applied advanced computer vision technology to the field of agricultural *** and improving the YOLOv5-seg object segmentation algorithm,first,the Convolutional Block Attention Module(CBAM)was integrated into Concentrated-Comprehensive Convolution Block(C3)to form C3CBAM,thereby enhancing the ability of the network to extract features from plow *** GhostConv module was also utilized to reduce parameter and computational ***,using the depth image information provided by the RGB-D camera combined with the results recognized by the YOLOv5-seg model,the mask image was processed to extract contour boundaries,align the contours with the depth map,and obtain the boundary distance information of the plowed ***,based on farmland information,the calculated average boundary distance was corrected,further improving the accuracy of the distance *** experiment results showed that the YOLOv5-seg object segmentation algorithm achieved a recognition accuracy of 99%for plowed areas and that the ranging accuracy improved with decreasing detection *** ranging error at 5.5 m was approximately 0.056 m,and the average detection time per frame is 29 ms,which can meet the real-time operational *** results of this study can provide precise guarantees for the autonomous operation of unmanned plowing units.

关键词： plow areas RGB-D camera YOLO object segmentation contour boundary average distance

Non-flammable long chain phosphate ester based electrolyte via competitive solventized structures for high-performance lithium metal batteries

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Journal of Energy Chemistry 2024年第10期97卷 156-165,I0004页

作者： Li Liao Zhiqiang Han Xuanjie Feng Pan Luo Jialin Song Yin shen Xiaoshuang Luo Xinpeng Li Xuanzhong Wen Bo Yu Junchen Chen Bingshu Guo Mingshan Wang Yun Huang Hongmei Zhang Mengmeng Yin jiangtao Liu Yuanhua Lin Xing Li school of New Energy and Materials Southwest Petroleum UniversityChengdu 610500SichuanChina State Key Laboratory of Advanced Chemical Power Sources Guizhou Meiling Power Sources Co.LtdZunyi 563003GuizhouChina beijing Advanced Innovation Center for Materials Genome engineering Center for Green InnovationSchool of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083China

Safety remains a persistent challenge for high-energy-density lithium metal batteries(LMBs).The development of safe and non-flammable electrolytes is especially important in harsh conditions such as high ***,a flame-retardant,low-cost and thermally stable long chain phosphate ester based(tributyl phosphate,TBP)electrolyte is reported,which can effectively enhance the cycling stability of highly loaded high-nickel LMBs with high safety through co-solvation *** interfacial compatibility between TBP and electrode is effectively improved using a short-chain ether(glycol dimethyl ether,DME),and a specially competitive solvation structure is further constructed using lithium borate difluorooxalate(LiDFOB)to form the stable and inorganic-rich electrode *** from the presence of the cathode electrolyte interphase(CEI)and solid electrolyte interphase(SEI)enriched with LiF and Li_(x)PO_(y)F_(z),the electrolyte demonstrates excellent cycling stability assembled using a 50μm lithium foil anode in combination with a high loading NMC811(15.4 mg cm^(-2))cathode,with 88%capacity retention after 120 ***,the electrolyte exhibits excellent high-temperature characteristics when used in a 1-Ah pouch cell(N/P=0.26),and higher thermal runaway temperature(238℃)in the ARC(accelerating rate calorimeter)demonstrating high *** novel electrolyte adopts long-chain phosphate as the main solvent for the first time,and would provide a new idea for the development of extremely high safety and high-temperature electrolytes.

关键词： Non-flammable electrolyte Long chain phosphate ester Solvation structure Lithium metal batteries Battery safety