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Cost-Sensitive Dual-Stream Residual Networks for Imbalanced Classification

Computers, Materials & Continua 2024年第9期80卷 4243-4261页

作者： Congcong Ma Jiaqi Mi wanlin gao Sha Tao College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing100083China

Imbalanced data classification is the task of classifying datasets where there is a significant disparity in the number of samples between different *** task is prevalent in practical scenarios such as industrial fault diagnosis,network intrusion detection,cancer detection,*** imbalanced classification tasks,the focus is typically on achieving high recognition accuracy for the minority ***,due to the challenges presented by imbalanced multi-class datasets,such as the scarcity of samples in minority classes and complex inter-class relationships with overlapping boundaries,existing methods often do not perform well in multi-class imbalanced data classification tasks,particularly in terms of recognizing minority classes with high ***,this paper proposes a multi-class imbalanced data classification method called CSDSResNet,which is based on a cost-sensitive dualstream residual ***,to address the issue of limited samples in the minority class within imbalanced datasets,a dual-stream residual network backbone structure is designed to enhance the model’s feature extraction ***,considering the complexities arising fromimbalanced inter-class sample quantities and imbalanced inter-class overlapping boundaries in multi-class imbalanced datasets,a unique cost-sensitive loss function is *** loss function places more emphasis on the minority class and the challenging classes with high interclass similarity,thereby improving the model’s classification ***,the effectiveness and generalization of the proposed method,CSDSResNet,are evaluated on two datasets:‘DryBeans’and‘Electric Motor Defects’.The experimental results demonstrate that CSDSResNet achieves the best performance on imbalanced datasets,with macro_F1-score values improving by 2.9%and 1.9%on the two datasets compared to current state-of-the-art classification methods,***,it achieves the highest precision in single-class r

关键词： Deep learning imbalanced data classification fault diagnosis cost-sensitivity

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Pyramid Separable Channel Attention Network for Single Image Super-Resolution

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Computers, Materials & Continua 2024年第9期80卷 4687-4701页

作者： Congcong Ma Jiaqi Mi wanlin gao Sha Tao College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China College of Artificial Intelligence Nankai UniversityTianjin300350China Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing100083China

Single Image Super-Resolution(SISR)technology aims to reconstruct a clear,high-resolution image with more information from an input low-resolution image that is blurry and contains less *** technology has significant research value and is widely used in fields such as medical imaging,satellite image processing,and security *** significant progress in existing research,challenges remain in reconstructing clear and complex texture details,with issues such as edge blurring and artifacts still *** visual perception effect still needs further ***,this study proposes a Pyramid Separable Channel Attention Network(PSCAN)for the SISR *** designs a convolutional backbone network composed of Pyramid Separable Channel Attention blocks to effectively extract and fuse multi-scale *** expands the model’s receptive field,reduces resolution loss,and enhances the model’s ability to reconstruct texture ***,an innovative artifact loss function is designed to better distinguish between artifacts and real edge details,reducing artifacts in the reconstructed *** conducted comprehensive ablation and comparative experiments on the Arabidopsis root image dataset and several public *** experimental results show that the proposed PSCAN method achieves the best-known performance in both subjective visual effects and objective evaluation metrics,with improvements of 0.84 in Peak Signal-to-Noise Ratio(PSNR)and 0.017 in Structural Similarity Index(SSIM).This demonstrates that the method can effectively preserve high-frequency texture details,reduce artifacts,and have good generalization performance.

关键词： Deep learning single image super-resolution artifacts texture details

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Defect-rich Mg-Al MMOs supported TEPA with enhanced charge transfer for highly efficient and stable direct air capture

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Journal of Energy Chemistry 2022年第5期31卷 401-410页

作者： Meng Zhao Jiewen Xiao wanlin gao Qiang Wang College of Environmental Science and Engineering Beijing Forestry UniversityBeijing 100083China

Due to the advantages of low energy consumption and high CO_(2) selectivity, the development of solid amine-based materials has been regarded as a hot research topic in the field of DAC for the past *** adsorption capacity and stability over multiple cycles have been the top priorities for evaluation of practical application value. Herein, we synthesized a novel DAC material by loading TEPA onto defect-rich Mg_(0.55)Al-O MMOs with enhanced charge transfer effect. The optimal Mg_(0.55)Al-O-TEPA67% demonstrates the highest CO_(2)uptake of(3.0 mmol g^(-1)) and excellent regenerability, maintaining ~90% of the initial adsorption amount after 80 adsorption/desorption cycles. The in situ DRIFTS experiments suggested the formation of bicarbonate species under wet conditions. DFT calculations indicated that the stronger bonding between Mg_(0.55)Al-O support and solid amine was caused by the abundance of oxygen defects on MMOs confirmed by XPS and ESR, which favors the charge transfer between the support and amine,resulting in intense interaction and excellent regenerability. This work for the first time conducted comprehensive and systematic investigation on the stabilization mechanism for MMOs supported solid amine adsorbents with highest uptake and superior cyclic stability in depth, which is different from the most popular SiO_(2)-support, thus providing facile strategy and comprehensive theoretical mechanism support for future research about DAC materials.

关键词： Direct air capture Solid amine-based materials Mixed metal oxides Oxygen defects Charge transfer effect

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Research on Improved Character Encoding Methods Based on QR Code

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Chinese Journal of Electronics 2019年第6期28卷 1170-1176页

作者： KANG Bohan JIA Jingdun gao wanlin ZHANG Ning School of Information Central University of Finance and Economics National Rural Technology Development Center Ministry of Science and Technology College of Information and Electrical Engineering China Agricultural University

With the popularity of mobile terminals,Quick response(QR) code, which acts as a convenient and quick way to transfer graphic information, has been widely used in various fields. QR code is a 2D matrix code which contains information in both vertical and horizontal directions. In order to promote the characters encoding efficiency, we propose the improved character encoding methods based on QR code. Specifically, we divide the types of encoding data into Chinese characters and nonChinese characters, and thus optimizing their encoding methods separately: we apply the branch-bound algorithm to optimize the encoding pattern selection of QR code; as for Chinese characters, based on the Chinese characters use frequency generated by Url crawler system, we design a new encoding method for Chinese characters. Our approach has been shown to afford better experimental test results compared with traditional encoding methods of QR code.

关键词： QR code QR code encoding methods Branch-bound algorithm Chinese characters use frequency

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Progress,problems and prospects for standardization of greenhouse-related technologies

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International Journal of Agricultural and Biological Engineering 2018年第1期11卷 40-48页

作者： Yanzhao Ren Minjuan Wang Iftikhar Ahmed Saeeda Xuerui Chen wanlin gao College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Informationization and Standardization Ministry of AgricultureBeijing 100083China

In recent years,the scale of greenhouse grows rapidly and steadily in China,which promotes the development of greenhouse technology and the demand for standardized ***,the standardization process of greenhouse industry in China has been facing with the problem of unbalanced development with the practical standard system for many *** solve these problems,the most characteristic greenhouse designs used in China contributing to this work are presented in *** the development of standard system and the standardization efforts of them are summarized and analyzed in relationship to the data presented in this *** this way the origin of greenhouse standard system in China and context of the system development and standardization of greenhouse structure are *** was also found that the development and iterative update of greenhouse standard system are under the influences of enterprises which as the participation of standard constitutors were proved to play an important role in promoting the standardization development of *** outcome of this work may be utilized to perfect the greenhouse standardization system and improve the greenhouse standardization efficiency that dominate the facility agriculture in China.

关键词： greenhouse standardization standard system informationization greenhouse technology

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A nonparametric variable step-size subband adaptive filtering algorithm for acoustic echo cancellation

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International Journal of Agricultural and Biological Engineering 2020年第3期13卷 168-173页

作者： Yue Song Yanzhao Ren Xinliang Liu wanlin gao Sha Tao Lin Guo Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Academy of Agricultural Planning and Engineering Ministry of Agriculture and Rural AffairsBeijing 100125China Key Laboratory of Cultivated Land Use Ministry of Agriculture and Rural AffairsBeijing 100125China

Acoustic echo cancellation is often applied in communication and video call system to reduce unnecessary echoes generated between speakers and *** these systems,the speech input signal of the adaptive filter is often colored and unstable,which decays the convergence rate of the adaptive filter if the NLMS algorithm is *** this paper,an improved nonparametric variable step-size subband(NPVSS-NSAF)algorithm is proposed to address the *** variable step-size is derived by minimizing the sum of the square Euclidean norm of the difference between the optimal weight vectors to be updated and the past estimated weight *** the parameters are eliminated by using the power of subband signal noise equal to the power of subband posteriori *** performance of the proposed algorithm is simulated in the aspects of misalignment and return loss *** results show a fast convergence rate and low misalignment of the proposed algorithm in system identification.

关键词： echo cancellation fast convergence low misalignment nonparametric variable step size

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Summary of China Development Forum 2015 and the 2nd International Conference on Smart Agriculture Innovative Development

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International Journal of Agricultural and Biological Engineering 2015年第5期8卷 176-178页

作者： Liu Changran Zhang Man Wang Qing Li Minzan gao wanlin College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China

China Development Forum 2015 and the 2nd International Conference on Smart Agriculture Innovative Development(ICSaid 2015)were held at China Agricultural University(CAU)on October 16-19,*** conference was sponsored by CAU and Economic Affairs Committee of China Zhigong Party,and organized by College of Information and Electrical Engineering(CIEE)of CAU,Political Department of China Zhigong Party Central Committee,Office of Research and Development of CAU,and Key Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education,CAU.

关键词： Agricultural Forum Smart

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Online ultrasonic terminal for measuring pig backfat thickness

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International Journal of Agricultural and Biological Engineering 2018年第2期11卷 190-195页

作者： Ganghong Zhang wanlin gao Sha Tao Lina Yu Guofeng Zhang Xuan Luo College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Informatization Standardization Ministry of AgricultureBeijing 100083China Institute of Semiconductor Chinese Academy of SciencesBeijing100083China School of Microelectronics University of Chinese Academy of SciencesBeijing100049China

The measurement of pig backfat thickness(PBFT)has to stand up to challenges with the reliability,accuracy,and *** PBFT timely and precisely from a finite distance is extremely necessary to improve the process of pig production and implement effective *** an attempt to alleviate these problems,an online handheld terminal was designed with a new method based on ultrasonic technology for measuring PBFT during the process of pig breeding,which can overcome the difficulties encountered in other destructive *** terminal comprised three main components:a main microcontroller unit(MCU)to measure PBFT,a RFID module to identify each pig and send data(***,measurement time and PBFT)to a server via wireless transmission module,and an ultrasonic transducer to drive and receive signals between them.A measurement error within 0-1 mm was acquired through testing three groups of *** indicated that this handheld terminal had a required accuracy and proved that the ultrasonic wave processing method can be deployed in a mobile terminal for PBFT *** also provided a feasible nondestructive alternative to measure *** with information management software platform,this method may ultimately help pig production farmers measure the PBFT accurately and conveniently,and improve the pig production efficiency.

关键词： pig backfat thickness nondestructive measurement ultrasonic technology online terminal pig production

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Spray drift characteristics test of unmanned aerial vehicle spray unit under wind tunnel conditions

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International Journal of Agricultural and Biological Engineering 2020年第3期13卷 13-21页

作者： Changling Wang Aijun Zeng Xiongkui He Jianli Song Andreas Herbst wanlin gao Centre for Chemicals Application Technology China Agricultural UniversityBeijing 100193China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China College of Science China Agricultural UniversityBeijing 100193China Institute for Chemical Application Technology of JKI Messeweg 11/12 D-38104 BraunschweigGermany

Since the 2010s,unmanned aerial vehicle(UAV)sprayer was applied more and more widely for low-volume aerial pesticides spraying operations in ***,droplets from the UAV sprayer have a higher drift risk due to more fine droplets sprayed and a higher flight height than ground *** on UAV spray drift has been a new hot spot within the field of pesticide application *** of previous studies used direct field methods for spray drift,but the meteorological conditions in field were unstable and uncontrollable,and drift research under an actual operation state in wind tunnel has not been ***,25 treatments of wind tunnel measurements and droplets spectrum tests of 10 models of nozzles were conducted to explore the influence factor on spray drift characteristics of UAV chemicals application in this study.A spray unit with a rotor of UAV was innovatively installed in wind tunnel,and the airstream from the wind tunnel was regarded as the relative moving natural wind to simulate the flight *** airborne and the sediment spray drift was measured to study the effects of the nozzle type and size(flat fan,hollow cone and air-inclusion nozzles),flight speed,adjuvant(DRS-60,Y-20079,MF and G-611)and meteorological parameters(20°C&40%,20°C&80%,30°C&40%and 30°C&60%).The drift potential(DP)and the drift potential reduction percentage(DPRP)in vertical and horizontal directions were obtained for each *** nozzle type and size had an impact on the spray drift potential obviously by affecting the droplet size and the ratio of fine droplets,and the regression linear models between DPRPV/DPRPH and DV50,V75 were established(R2=0.934/0.925).Flight speed also had a significant effect on the spray drift characteristics,and reducing the flight speed could increase the DP *** spray adjuvants could affect the DP under experimental meteorological parameters,and the anti-drift performance ranked in the order of DRS-60>MF>Y-20079>G-611

关键词： unmanned aerial vehicle(UAV)sprayer wind tunnel spray drift potential nozzle adjuvant

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Association rule mining algorithm based on Spark for pesticide transaction data analyses

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International Journal of Agricultural and Biological Engineering 2019年第5期12卷 162-166页

作者： Xiaoning Bai Jingdun Jia Qiwen Wei Shuaiqi Huang Weicheng Du wanlin gao College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Institute for the Control of Agrochemicals Ministry of Agriculture and Rural AffairsBeijing 100125China Ministry of Science and Technology Torch Center Beijing 100045China National Agricultural Technology Promotion Center Beijing 100125China Information Center Ministry of Agriculture and Rural AffairsBeijing 100125China

With the development of smart agriculture,the accumulation of data in the field of pesticide regulation has a certain *** pesticide transaction data collected by the Pesticide National Data Center alone produces more than 10 million records ***,due to the backward technical means,the existing pesticide supervision data lack deep mining and *** Apriori algorithm is one of the classic algorithms in association rule mining,but it needs to traverse the transaction database multiple times,which will cause an extra IO *** is an emerging big data parallel computing framework with advantages such as memory computing and flexible distributed data *** with the Hadoop MapReduce computing framework,IO performance was greatly ***,this paper proposed an improved Apriori algorithm based on Spark framework,*** MapReduce process was used to support the candidate set and then to generate the candidate *** experimental comparison,when the data volume exceeds 250 Mb,the performance of Spark-based Apriori algorithm was 20%higher than that of the traditional Hadoop-based Apriori algorithm,and with the increase of data volume,the performance improvement was more obvious.

关键词： Spark association rule mining ICAMA algorithm big data pesticide regulation MapReduce

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