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FLIGHT:Federated Learning with IRS for Grouped Heterogeneous Training

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Journal of Communications and Information Networks 2022年第2期7卷 135-144页

作者： Tong yin Lixin Li Donghui Ma Wensheng Lin Junli Liang Zhu Han School of Electronics and Information Northwestern Poly technical UniversityXi'an 710129China Department of Electrical and Computer Engineering at the University of Houston HoustonTX 77004USAand also with the Department of Computer Science and EngineeringKyung Hee UniversitySeoul 446-701South Korea

In recent years,federated learning(FL)has played an important role in private data-sensitive scenarios to perform learning tasks collectively without data ***,due to the centralized model aggregation for heterogeneous devices in FL,the last updated model after local training delays the convergence,which increases the economic cost and dampens clients’motivations for participating in *** addition,with the rapid development and application of intelligent reflecting surface(IRS)in the next-generation wireless communication,IRS has proven to be one effective way to enhance the communication *** this paper,we propose a framework of federated learning with IRS for grouped heterogeneous training(FLIGHT)to reduce the latency caused by the heterogeneous communication and computation of the ***,we formulate a cost function and a greedy-based grouping strategy,which divides the clients into several groups to accelerate the convergence of the FL *** simulation results verify the effectiveness of FLIGHT for accelerating the convergence of FL with heterogeneous *** the exemplified linear regression(LR)model and convolutional neural network(CNN),FLIGHT is also applicable to other learning models.

关键词： federated learning decentralized aggrega-tion intelligent reflecting surfaces grouped learning

Effect of Single-walled Carbon Nanotubes on Cellulose Phenylcarbamate Chiral Stationary Phases

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Chemical Research in Chinese Universities 2007年第6期23卷 646-649页

作者： CHANG yin-xia REN Chao-xing RUAN Qiong YUAN Li-ming Department of Chemistry Yunnan Normal University Kunming 650092 P. R. China School of Chemistry and Material Science Shanxi Normal University Linfen 041000 P. R. China

Single-walled carbon nanotubes（SWNTs） have a high adsorption ability and nanoscale interactions. Cellulose trisphenylcarbamates possess high enantioseparation ability in high-performance liquid chromatography（HPLC）. Single-walled carbon nanotubes mixed with cellulose trisphenylcarbamate are coated on the silica gel as chiral stationary phases and higher enantioseparation factors are obtained. After a single-walled carbon nanotube is linked to the 6-pesition of cellulose 2,3-bisphenylcarbamate, its enantioseparation resolution increases compared to that of the cellulose trisphenylcarbamate. It is the first time that SWNTs have been applied to enantioseparation. The results indicate that the single-walled carbon nanotubes are good promoters of chiral recognition. This method can be used to improve the enantioseparation efficiency of the polysaccharide chiral stationary phases.

关键词： Single-walled carbon nanotube Cellulose 2,3-bisphenylcarbamate-6-SWNT Cellulose trisphenylcarbamate Chiral stationary phase High-performance liquid chromatography

Zoeppritz-based AVO inversion using an improved Markov chain Monte Carlo method

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Petroleum Science 2017年第1期14卷 75-83页

作者： Xin-Peng Pan Guang-Zhi Zhang Jia-Jia Zhang Xing-Yao yin School of Geosciences China University of Petroleum(Huadong) Laboratory for Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology

The conventional Markov chain Monte Carlo （MCMC） method is limited to the selected shape and size of proposal distribution and is not easy to start when the initial proposal distribution is far away from the target distribution. To overcome these drawbacks of the conventional MCMC method, two useful improvements in MCMC method, adaptive Metropolis （AM） algorithm and delayed rejection （DR） algorithm, are attempted to be combined. The AM algorithm aims at adapting the proposal distribution by using the generated estimators, and the DR algorithm aims at enhancing the efficiency of the improved MCMC method. Based on the improved MCMC method, a Bayesian amplitude versus offset （AVO） inversion method on the basis of the exact Zoeppritz equation has been developed, with which the P- and S-wave velocities and the density can be obtained directly, and the uncertainty of AVO inversion results has been estimated as well. The study based on the logging data and the seismic data demonstrates the feasibility and robustness of the method and shows that all three parameters are well retrieved. So the exact Zoeppritz-based nonlinear inversion method by using the improved MCMC is not only suitable for reservoirs with strong-contrast interfaces and longoffset ranges but also it is more stable, accurate and antinoise.

关键词： Adaptive Metropolis (AM) algorithm Delayed rejection (DR) algorithm Bayesian AVOinversion Exact Zoeppritz Nonlinear inversion

Effects of copper, lead and zinc in soil on egg development and hatching of Folsomia candida

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Insect Science 2009年第1期16卷 51-55页

作者： Jie Xu yin Wang Yong-Ming Luo Jing Song Xin Ke Institute of Plant Physiology and Ecology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghal Soil and Environment Bioremediation Research Centre Institute of Soil Sciences Chinese Academy of Sciences Nanjing China

Effects of CaCl2, CuCl2, ZnCl2 and PbCl2 on development and hatching success of eggs of Folsomia candida （Collembola） were studied under laboratory conditions. Thousands of healthy eggs from synchronized cultures were incubated in soils treated with different concentrations of the metals. Compared with the water control, egg hatch significantly decreased when concentrations of Cu, Pb and Zn reached 400, 1 600 and 800 mg/kg dry soil, respectively. Values of EC50（hatching）, calculated according to the exponential model （with 95% confidence limits in brackets）, were 625 （407-875）, 2 361 （2 064-2 687） and 1 763 （1 548-2 000） mg/kg dry soils for Cu, Pb and Zn, respectively. When Cu concentration reached 1 600 mg/kg dry soil, eggs became green and the percentage of green eggs changed from 5%-20% after incubation for 2 days to 15%- 30% after incubation for 4 days. At 3 200 mg Cu/kg dry soil, tissues inside eggs were black and shrunken.

关键词： metal pollution soil springtail hatching success metamorphosis toxicity test,ultrathin sectioning

Alteration of cyclin D1 in gastric carcinoma and its clinicopathologic significance

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World Journal of Gastroenterology 2004年第20期10卷 2936-2939页

作者： PengGao Geng-yinZhou YuanLiu Jin-SongLi Jun-HuiZhen yin-PingYuan PengGao DepartmentofPathology SchoolofMedicineShandongUniversityJinan250012ShandongProvinceChina DepartmentofPathology SchoolofMedicineShandongUniversityJinan250012ShandongProvinceChina QiluHospital ShandongUniversityJinan250012ShandongProvinceChina

AIM: To detect the genetic alteration and abnormal expression of cyclin D1 in gastric carcinoma and investigate its clinicopathologic significance in advanced gastric carcinoma. METHODS: Proteins of cyclin D1 were detected by immunohistochemistry in 42 cases of advanced gastric carcinoma with their follow-up data available, 27 cases of early stage carcinoma, 21 cases of gastric adenoma, 22 cases of hyperplastic polyp and 20 cases of normal mucosa adjacent to adenocarcinomas. Genetic alteration of cyclin D1 was detected by Southern blot and expression of cyclin D1 mRNA was detected by PT-PCR in 42 cases of advanced gastric carcinoma. RESULTS: Cyclin D1 protein was not expressed in normal mucosa, hyperplastic polyp and gastric adenoma, while it was only positively expressed in gastric carcinoma. The expression rate of cyclin D1 protein in early stage gastric carcinoma, advanced gastric carcinoma and lymph node metastasis was 48.1%, 47.4% and 50.0%, respectively. The amplification of cyclin D1 gene was detected in 16.6% of advanced gastric carcinomas. The overexpression of cyclin D1 mRNA was detected in 40.5% of the samples. There was no significant correlation between cyclin D1 protein expression and age, lymph-node metastasis and histological grading in patients with advanced gastric carcinoma (x^2=0.038,0.059,0.241, P>0.05). Significant correlation was observed between the expression of cyclin D1 protein and the 5-year survival rate (x^2=3.92, P<0.05). CONCLUSION: Detection of cyclin D1 protein by immunohistochemistry may be useful in the diagnosis of early gastric carcinomas. Patients with positive expression of cyclin D1 protein tend to have a worse prognosis.

关键词：细胞周期调节蛋白D1 胃癌临床病理学遗传变更变态表达

Inkjet printing for flexible electronics:Materials,processes and equipments

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Chinese Science Bulletin 2010年第30期55卷 3383-3407页

作者： yin ZhouPing HUANG YongAn BU NingBin WANG XiaoMei XIONG YouLun State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074China

Inkjet printing, known as digital writing technique, can directly deposit functional materials to form pattern onto substrate. This paper provides an overview of inkjet printing technologies for flexible electronics. Firstly, we highlight materials challenges in implementing flexible devices into practical application, especially for inkjet printing process. Then the micro/nano-patterning technologies of inkjet printing are discussed, including conventional inkjet printing techniques and electrohydrodynamic printing techniques. Thirdly, the related equipments on inkjet printing are shown. Finally, challenges for its future development are also discussed. The main purpose of the work is to condense the basic knowledge and highlight the challenges associated with the burgeoning and exciting field of inkjet printing for flexible electronics.

关键词：喷墨印刷技术功能材料电子设备软性喷墨打印技术工艺高压直流电

A Traceable Capability-based Access Control for IoT

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Computers, Materials & Continua 2022年第9期72卷 4967-4982页

作者： Chao Li Fan Li Cheng Huang Lihua yin Tianjie Luo Bin Wang Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510700China PCL Research Center of Cyberspace Security Peng Cheng LaboratoryShenzhen518052China Department of Electrical and Computer Engineering University of WaterlooWaterlooN2L 3G1Canada College of Electrical Engineering Zhejiang UniversityHangzhou310058China

Delegation mechanism in Internet of Things(IoT)allows users to share some of their permissions with ***-based delegation solutions require that only the user who has registered in the cloud can be delegated *** is not convenient when a permission is delegated to a large number of temporarily ***,some works like CapBAC delegate permissions locally in an offline ***,this is difficult to revoke and modify the offline delegated *** this work,we propose a traceable capability-based access control approach(TCAC)that can revoke and modify permissions by tracking the trajectories of permissions *** define a time capability tree(TCT)that can automatically extract permissions trajectories,and we also design a new capability token to improve the permission verification,revocation and modification *** experiment results show that TCAC has less token verification and revocation/modification time than those of CapBAC and *** can discover 73.3%unvisited users in the case of delegating and accessing *** provides more information about the permissions delegation relationships,and opens up new possibilities to guarantee the global security in IoT delegation *** the best of our knowledge,TCAC is the first work to capture the unvisited permissions.

关键词： IoT access control permission delegation delegation trajectory capability revocation capability modification

Sensitive system calls based packed malware variants detection using principal component initialized MultiLayers neural networks

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Cybersecurity 2018年第1期1卷 185-197页

作者： Jixin Zhang Kehuan Zhang Zheng Qin Hui yin Qixin Wu Department of Information Engineering Chinese University of Hong KongHong KongChina College of Computer Science and Electronic Engineering Hunan UniversityHunanChina

Malware detection has become mission sensitive as its threats spread from computer systems to Internet of things *** malware variants are generally equipped with sophisticated packers,which allow them bypass modern machine learning based detection *** detect packed malware variants,unpacking techniques and dynamic malware analysis are the two ***,unpacking techniques cannot always be useful since there exist some packers such as private packers which are hard to *** dynamic malware analysis can obtain the running behaviours of executables,the unpacking behaviours of packers add noisy information to the real behaviours of executables,which has a bad affect on *** overcome these challenges,in this paper,we propose a new method which first extracts a series of system calls which is sensitive to malicious behaviours,then use principal component analysis to extract features of these sensitive system calls,and finally adopt multi-layers neural networks to classify the features of malware variants and legitimate *** analysis and real-life experimental results show that our packed malware variants detection technique is comparable with the the state-of-art methods in terms of *** approach can achieve more than 95.6\%of detection accuracy and 0.048 s of classification time cost.

关键词： Malware variants Multi-layers neural networks Principal component analysis Sensitive system calls Sophisticated packers

EPOR mRNA level: A valuable prognostic indicator for patients with ER+ breast cancer

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Asian Pacific Journal of Tropical Medicine 2018年第4期11卷 297-304页

作者： Jing Pan Xing-Hua Han Wei Wang Yue-yin Pan Department of Medical Oncology Anhui Provincial Hospital Anhui Medical University Department of Medical Oncology The First Affiliated Hospital of University of Science and Technology of China

Objective: To explore the expression level and prognostic significance of erythropoietin receptor(EPOR) in patients with breast cancer(BRCA) based on estrogen receptor(ER) status and different molecular subtypes. Methods: The Cancer Genome Atlas(TCGA) and GTEx data were collected in GEPIA initially to identify the dysregulated genes. Further, bc-GenExMiner 4.1 online bioinformatics tool was used to evaluate EPOR mRNA differential expression level according to different classification of clinicopathologic parameters in patients with breast cancer. Additionally, the prognostic value between EPOR mRNA expression and free survival of metastatic relapse(MR) or any event(AE, namely any relapse or death) in patients with breast cancer was done. Results: EPOR mRNA was significantly downregulated in BRCA(1 085 cases) compared to normal tissues(291 cases)(P<0.05). Univariate Cox analysis revealed that high EPOR mRNA expression was remarkably correlated to a decreased risk of MR(HR: 0.79, P<0.000 1) and AE(HR: 0.87, P=0.000 7) especially in breast cancer patients with ER+. Besides, high EPOR mRNA level also associated with a favorable MRfree survival(HR: 0.81, P=0.007 2) and AE-free survival(HR: 0.88, P =0.029 9) in ER+ breast cancer patients. However, no similar above phenomenon was detected in ER-patients. Moreover, the subsequent prognostic adjusted analyses and univariate Cox analysis of AE based on SSP or SCM molecular subtypes validated the above results. Conclusion: EPOR mRNA level is a valuable prognostic indicator for patients with ER+ breast cancer.

关键词： Breast cancer EPOR Prognosis Bioinformatics