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Experimental study on the dispersion behavior of a microemulsion collector and its mechanism for enhancing low-rank coal flotation

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International Journal of Mining Science and Technology 2023年第7期33卷 893-901页

作者： fan Lian Guosheng Li Yijun Cao Baoxun Zhao Guangli Zhu kai fan School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China School of Material Science and Engineering Zhengzhou UniversityZhengzhou 450001China

As the poor dispersion of oily collectors and the inferior hydrophobicity of the mineral surface, the lowrank coal has an unsatisfactory flotation performance when using traditional collectors. In this paper, an ionic liquid microemulsion was used as a collector to enhance its floatability. Flotation test results demonstrated the microemulsion collector exhibited a superior collecting ability. A satisfactory separation performance of 78.66% combustible material recovery was obtained with the microemulsion collector consumption of 6 kg/t, which was equivalent to the flotation performance of diesel at a dosage of25 kg/t. The dispersion behavior of the microemulsion collector was investigated using the CryogenicTransmission Electron Microscopy. The interaction mechanism of the microemulsion collector on enhancing the low-rank coal flotation was elucidated through the Zeta potential and contact angle measurements, the Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy *** microemulsion collector exhibited superior dispersibility, which was dispersed into positively charged oil droplets with an average size of 160.21 nm in the pulp. Furthermore, the nano-oil droplets could be more efficiently adsorbed on the low-rank coal surface through electrostatic attraction, resulting in the improvement of its hydrophobicity. Thus, the microemulsion collector shows great application potential in improving the flotation performance of low-rank coal.

关键词： Microemulsion Dispersion Nano-oil droplets Flotation Interaction mechanisms

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Privacy Protection Smartcard Authentication Scheme in Cloud Computing

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Chinese Journal of Electronics 2018年第1期27卷 41-45页

作者： fan kai DENG Hai LI Hui YANG Yintang State Key Laboratory of Integrated Service Networks Xidian University

Cloud computing provides users with a great deal of flexibility and convenience. However, cloud computing also brings very serious security problems, especially for enterprise data security stored in the *** the data is outsourced to a third party, the data privacy has become a ma jor problem, such as user authentication, integrity of data etc. and needs to be addressed very effectively. A mutual authentication scheme based on smartcard for cloud computing is proposed to solve the problem of which the illegal users access the resource of cloud servers and the legal users access the illegal cloud server. The scheme achieves mutual authentication by using hash functions to protect user privacy. Performance comparison shows that the proposed scheme is an efficient one.

关键词： Cloud computing Smartcard Mutual authentication Privacy protection

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Study on electron stochastic motions in the magnetosonic wave field: Test particle simulations

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Earth and Planetary Physics 2021年第6期5卷 592-600页

作者： kai fan XinLiang Gao QuanMing Lu Shui Wang CAS Key Laboratory of Geospace Environment Department of Geophysics and Planetary ScienceUniversity of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Comparative Planetology Hefei 230026China

Using the test particle simulation method, we investigate the stochastic motion of electrons with energy of 300 keV in a monochromatic magnetosonic(MS) wave field. This study is motivated by the violation of the quasi-linear theory assumption, when strong MS waves(amplitude up to ~1 nT) are present in the Earth's magnetosphere. First, electron motion can become stochastic when the wave amplitude exceeds a certain threshold. If an electron initially resonates with the MS wave via bounce resonance, as the bounce resonance order increases, the amplitude threshold of electron stochastic motion increases until it reaches the peak at about the 11 th order in our study, then the amplitude threshold slowly declines. Further, we find that the coexistence of bounce and Landau resonances between electrons and MS waves will significantly reduce the amplitude threshold. In some cases, the electron motion can become stochastic in the field of an MS wave with amplitudes below 1 nT. Regardless, if neither the bounce nor Landau resonance condition is satisfied initially, then the amplitude threshold of stochastic motion shows an increasing trend for lower frequencies and a decreasing trend for higher frequencies, even though the amplitude threshold is always very large(> 5 nT). Our study suggests that electron stochastic motion should also be considered when modeling electron dynamics regulated by intense MS waves in the Earth's magnetosphere.

关键词： magnetosonic waves electron stochastic motions bounce resonance test particle simulations

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Data complexity-based batch sanitization method against poison in distributed learning

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Digital Communications and Networks 2024年第2期10卷 416-428页

作者： Silv Wang kai fan Kuan Zhang Hui Li Yintang Yang State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an710126China Department of Electrical and Computer Engineering University of Nebraska-LincolnLincolnNE68588USA Key Lab.of the Minist.of Educ.for Wide Bandgap Semiconductor Materials and Devices Xidian UniversityXi'an710071China

The security of Federated Learning(FL)/Distributed Machine Learning(DML)is gravely threatened by data poisoning attacks,which destroy the usability of the model by contaminating training samples,so such attacks are called causative availability indiscriminate *** the problem that existing data sanitization methods are hard to apply to real-time applications due to their tedious process and heavy computations,we propose a new supervised batch detection method for poison,which can fleetly sanitize the training dataset before the local model *** design a training dataset generation method that helps to enhance accuracy and uses data complexity features to train a detection model,which will be used in an efficient batch hierarchical detection *** model stockpiles knowledge about poison,which can be expanded by retraining to adapt to new *** neither attack-specific nor scenario-specific,our method is applicable to FL/DML or other online or offline scenarios.

关键词： Distributed machine learning security Federated learning Data poisoning attacks Data sanitization Batch detection Data complexity

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Machine Learning to Search for Accreting Neutron Star Binary Candidates Using Chinese Space Station Telescope Photometric System

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Research in Astronomy and Astrophysics 2022年第12期22卷 322-334页

作者： Shun-Yi Lan kai-fan Ji Xiang-Cun Meng Yunnan Observatories Chinese Academy of SciencesKunming 650216China Key Laboratory for the Structure and Evolution of Celestial Objects Chinese Academy of SciencesKunming 650216China University of Chinese Academy of Sciences Beijing 100049China

Accreting neutron star binary(ANSB)systems can provide some important information about neutron stars(NSs),especially on the structure and the equation of state of ***,only a few ANSBs are known so *** upcoming Chinese Space Station Telescope(CSST)provides an opportunity to search for a large number of ANSB *** aim to investigate whether or not a machine learning method may efficiently search for ANSBs based on CSST photometric *** this paper,we generate some ANSBs and normal binaries under CSST photometric system by binary evolution and binary population synthesis method and use a machine learning method to train a classification *** consider the classical multi-color disk and the irradiated accretion disk,then compare their effects on the classification *** find that no matter whether the X-ray reprocessing effect is included or not,the machine learning classification accuracy is always very high,i.e.,higher than 96%.If a significant magnitude difference exists between the accretion disk and the companion of an ANSB,machine learning may not distinguish it from some normal stars such as massive main sequence stars,white dwarf binaries,*** classifications of the ANSBs and the normal stars highly overlap in a color–color *** results indicate that machine learning would be a powerful way to search for potential ANSB candidates from the CSST survey.

关键词： stars:neutron X-rays:binaries methods:analytical

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Secure Authentication Protocol for Mobile Payment

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Tsinghua Science and Technology 2018年第5期23卷 610-620页

作者： kai fan Hui Li Wei Jiang Chengsheng Xiao Yintang Yang State Key Laboratory of Integrated Service Networks Xidian University Xi'an 710071 China Shanghai Haijiye High Tech Co. Ltd Shanghai 200000 China Key Lab. of the Ministry of Education for Wide Band-Gap Semiconductor Materials and Devices Xidian University Xi'an 710071 China

With the increasing popularity of fintech, i.e., financial technology, the e-commerce market has grown rapidly in the past decade, such that mobile devices enjoy unprecedented popularity and are playing an ever ncreasing role in e-commerce. This is especially true of mobile payments, which are attracting increasing attention However, the occurrence of many traditional financial mishaps has exposed the challenges inherent in online authentication technology that is based on traditional modes of realizing the healthy and stable development of mobile payment. In addition, this technology ensures user account security and privacy. In this paper, we propose a Secure Mutual Authentication Protocol （SMAP） based on the Universal 2nd Factor （U2F） protocol for mobile payment. To guarantee reliable service, we use an asymmetric cryptosystem for achieving mutual authentication between the server and client, which can resist fake servers and forged terminals. Compared to the modes currently used, the proposed protocol strengthens the security of user account information as well as individual privacy throughout the mobile-payment transaction process. Practical application has proven the security and convenience of the proposed protoco

关键词： mutual authentication security privacy Universal 2nd Factor (U2F) mobile payment

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Anti-inflammatory effects of Abelmoschus manihot(L.)*** LPS-induced cystitis in mice:potential candidate for cystitis treatment based on classic use

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Chinese Journal of Natural Medicines 2022年第5期20卷 321-331页

作者： ZHOU Su fan kai-kai GU Li-Fei YU Bo-Yang CHAI Cheng-Zhi Jiangsu Key Laboratory of TCM Evaluation and Translational Research School of Traditional Chinese PharmacyChina Pharmaceutical UniversityNanjing 211198China Research Center for Traceability and Standardization of TCMs School of Traditional Chinese PharmacyChina Pharmaceutical UniversityNanjing 211198China

Abelmoschus manihot(L.)Medik.(***)is a traditional Chinese herbal medicine with a variety of pharmacological *** was first recorded in Jiayou Materia Medica dating back to the Song dynasty to eliminate urinary tract irritation by clearing away heat and diuretic ***,its pharmacological action on urinary tract infections has not been *** present study aims to evaluate the anti-inflammatory activity of *** on a mouse model of lipopolysaccharide(LPS)-induced *** results showed that *** decreased white blood cell(WBC)count in urine sediments of the cystitis mice,alleviated bladder congestion,edema,as well as histopathological damage,reduced the expression levels of tumor necrosis factor-α,interleukin-6,and interleukin-1β***,*** administration significantly downregulated the expression levels of TLR4,MYD88,IκBα,p-IκBα,NF-κB p65,and p-NF-κB p65 in LPS-induced cystitis *** findings demonstrated the protective effect of *** against LPS-induced cystitis,which is attributed to its anti-inflammatory profile by suppressing TLR4/MYD88/NF-κB *** results suggest that *** could be a potential candidate for cystitis treatment.

关键词： Abelmoschus manihot(L.)Medik.(A.manihot) Cystitis Lipopolysaccharide(LPS) Inflammation TLR4/MYD88/NF-κB

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Resolution Enhancement of SOHO/MDI Magnetograms

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Research in Astronomy and Astrophysics 2024年第6期24卷 358-367页

作者： Ying Qin kai-fan Ji Hui Liu Xiao-Guang Yu Yunnan Observatories Chinese Academy of SciencesKunming 650011China University of Chinese Academy of Sciences Beijing 100049China Yunnan Key Laboratory of Solar Physics and Space Science Kunming 650216China Key Laboratory for the Structure and Evolution of Celestial Objects Chinese Academy of SciencesKunming 650216China

Research on the solar magnetic field and its effects on solar dynamo mechanisms and space weather events has benefited from the continual improvements in instrument resolution and measurement *** augmentation and assimilation of historical observational data timelines also play a significant role in understanding the patterns of solar magnetic field *** the realm of astronomical data processing,super-resolution(SR)reconstruction refers to the process of using a substantial corpus of training data to learn the nonlinear mapping between low-resolution(LR)and high-resolution(HR)images,thereby achieving higherresolution astronomical *** paper is an application study in high-dimensional nonlinear *** learning models were employed to perform SR modeling on SOHO/MDI magnetograms and SDO/HMI magnetograms,thus reliably achieving resolution enhancement of full-disk SOHO/MDI magnetograms and enhancing the image resolution to obtain more detailed *** this study,a data set comprising 9717pairs of data from 2010 April to 2011 February was used as the training set,1332 pairs from 2011 March were used as the validation set and 1034 pairs from 2011 April were used as the test *** data preprocessing,we randomly cropped 128×128 sub-images as the LR cases from the full-disk MDI magnetograms,and the corresponding 512×512 sub-images as HR ones from the HMI full-disk magnetograms for model *** tests conducted have shown that the study successfully produced reliable 4×SR reconstruction of full-disk MDI *** MESR model's results(0.911)were highly correlated with the target HMI magnetographs as indicated by the correlation coefficient ***,the method achieved the best PSNR,SSIM,MAE and RMSE values,indicating that the MESR model can effectively reconstruct magnetograms.

关键词： magnetic fields techniques:image processing virtual observatory tools Sun:magnetic fields

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A novel method for telescope polarization modeling based on an artificial neural network

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Research in Astronomy and Astrophysics 2021年第7期21卷 41-50页

作者： Jian-Guo Peng Shu Yuan kai-fan Ji Zhi Xu Yunnan Observatories Chinese Academy of SciencesKunming 650216China University of Chinese Academy of Sciences Beijing 100049China

The polarization characteristics of an astronomical telescope is an important factor that affects polarimetry accuracy. Polarization modeling is an essential means to achieve high precision and efficient polarization measurement of the telescope, especially for the alt-azimuth mount telescope. At present, the polarization model for the telescope(i.e., the physical parametric model) is mainly constructed using the polarization parameters of each optical element. In this paper, an artificial neural network(ANN) is used to model the polarization characteristics of the telescope. The ANN model between the physical parametric model residual and the pointing direction of the telescope is obtained, which reduces the model deviation caused by the incompleteness of the physical parametric model. Compared with the physical parametric model, the model fitting and predictive accuracy of the New Vacuum Solar Telescope(NVST) is improved after adopting the ANN model. After using the ANN model, the polarization cross-talk from I to Q, U, and V can be reduced from 0.011 to 0.007, and the crosstalk among Q, U, and V can be reduced from 0.047 to 0.020, which effectively improves the polarization measurement accuracy of the telescope.

关键词： techniques:polarimetric telescopes polarization instrumentation:polarimeters

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RUAP:Random Rearrangement Block Matrix-Based Ultra-Lightweight RFID Authentication Protocol for End-Edge-Cloud Collaborative Environment

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China Communications 2022年第7期19卷 197-213页

作者： Yu Luo kai fan Xingmiao Wang Hui Li Yintang Yang State Key Laboratory of Integrated Service Networks School of Cyber EngineeringXidian UniversityXi’an 710071China Key Lab.of the Minist.of Educ.for Wide Band-Gap Semiconductor Materials and Devices Xidian UniversityXi’an 710071China

Cloud computing provides powerful processing capabilities for large-scale intelligent Internet of things(IoT)***,the massive realtime data processing requirements challenge the existing cloud computing *** edge server is closer to the data *** end-edge-cloud collaboration offloads the cloud computing tasks to the edge environment,which solves the shortcomings of the cloud in resource storage,computing performance,and energy *** terminals and sensors have caused security and privacy challenges due to resource constraints and exponential *** the key technology of IoT,Radio-Frequency Identification(RFID)authentication protocol tremendously strengthens privacy protection and improves IoT ***,it inevitably increases system overhead while improving security,which is a major blow to low-cost RFID *** existing RFID authentication protocols are difficult to balance overhead and *** paper designs an ultra-lightweight encryption function and proposes an RFID authentication scheme based on this function for the end-edge-cloud collaborative *** BAN logic proof and protocol verification tools AVISPA formally verify the protocol’s *** use VIVADO to implement the encryption function and tag’s overhead on the FPGA *** evaluation indicates that the proposed protocol balances low computing costs and high-security requirements.

关键词： end-edge-cloud orchestration mutual authentication ultra-lightweight RFID random rearrangement block matrix IoT

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