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Novel real-time safety algorithm for predicting multi-targets in the farmland road

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International Journal of Agricultural and Biological Engineering 2023年第5期16卷 198-203页

作者： Xiaoming Liang Fu’en Chen Longhan Chen Deyue Li Bin Guo Yubo liang Yubin Lan China North Vehicle Research Institute Beijing 100072China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA School of Electronics and Electrical Engineering Beijing Jiaotong University Haibin CollegeHuanghua 061199HebeiChina The First Research Institute of the Ministry of Public Security Beijing 100048China College of Engineering South China Agricultural UniversityGuangzhou510642China

The more information obtained about the driving environment,the more ensures driving safety.Due to the complex driving environment of farmland roads,targets beside the road sometimes have an important impact on driving safety.To achieve this goal,a novel real-time detection and prediction algorithm of targets was proposed.The whole image was divided into four parts by RCM:driving region,crossroad region,roadside region,and the other region.In addition,a safety policy for every part was enforced by the algorithm,which was based mainly on the combination of the YOLACT and GPM.On this basis,a self-collected data set of 5000 test samples is used for testing.The detection accuracy of the algorithm in the data set could reach up to 90%,and the processing speed to 30.4 fps.In addition,experiments were carried out on actual farmland roads,and the results showed that the proposed algorithm was able to detect,track,and predict targets on the farmland road,and alarm to driver in time before the targets rush into the road.This study provides an important reference for the safe driving of agricultural vehicles.

关键词： real-time safety algorithm for predicting multi-target farmland road computer vision

Mechanism and preventive measures of slurry leakage at shield tail brushes under abnormal shutdown condition—A case study

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Underground Space 2023年第1期8卷 144-161页

作者： Fei Ye Haolan Feng Xingbo Han Xiaoming Liang Haidong Sun Wenjun Zhang Xiaoyong Cao School of Highway Chang’an UniversityXi’an 710064China CCCC First Highway Consultants Co. LtdChina710065 Xi’anChina School of Civil Engineering Tianjin UniversityTianjin 300350China

Based on an underwater shield tunnel project,this study introduces the phenomenon of abnormal shutdown and the measures designed to mitigate problems in construction.On the strength of the analysis of the slurry leakage causes during re-tunneling,the mech-anism of slurry leakage induced by jack retraction was studied,and treatment measures of leakage at shield tail brushes were elaborated upon.The results show that the sudden change of stratum leads to an abnormal shutdown,and a sharp increase in the slurry pressure at the shield cut location leads to the slurry penetrating the gap between the outer wall of the shield shell and the soil,increasing the risk of instantaneous breakdown at shield tail brushes.The radial displacement of the outer wall of the segments caused by retractions of three jacks and a single jack along the circumferential direction distinctly shows three regions and four regions,respectively.The radial shrink-age of the outer wall of the segments at the jack retraction position decreases the tightness between the shield tail brushes and the outer wall of the segments.The expansion of the outer wall of the segments at the surrounding position,especially at the lower position,increases the slurry level to the radial shrinkage position of the segments,which increases the risk of slurry leakage.Furthermore,when the shield machine faces an abnormal shutdown,re-tunneling,and assembly of segments,the jack can be gradually retracted from top to bottom.The slurry leakage degree can be observed when retracting,and the corresponding measures can be taken for timely plugging.According to the leakage degree,it can be determined whether to replace the shield tail brushes to reduce the risk of large-scale leakage accidents.

关键词： Shield tunnel Shield tail brushes Slurry leakage Jack retraction Segment displacement

Allowance and allocation of industrial volatile organic compounds emission in China for year 2020 and 2030

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Journal of Environmental Sciences 2018年第7期30卷 155-165页

作者： Jiani Zhang Jingfang Xiao Xiaofang Chen Xiaoming Liang Liya Fan Daiqi Ye School of Environment and Energy South China University of Technology Guangzhou 510006 China Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control Guangzhou 510006 China National Engineering Laboratory for VOCs Pollution Control Technology and Equipment South China University of TechnologyGuangzhou 510006 China

As an effective pollution control method, emission allowance and allocation just implemented in volatile organic compounds（VOCs） control strategy of China in 2016. This article presents a possible way to set the emission allowance targets and establishes an allowance allocation model for the object year, 2020 and 2030, using 2010 as the reference year. On the basis of regression and scenario analysis method, the emission allowance targets were designed,which were 17.902 Tg and 18.224 Tg for 2020 and 2030, with an increasing rate of 28.75% and31.06% compared to 2010. From the perspective of industries, processes using VOCscontaining products, like machinery and equipment manufacturing, would continue to be the most significant industrial VOCs emission sources in the future of China. Four allocation indicators were selected, which are per capita GDP of each province, per capita industrial VOCs emission of each province, the economic contribution of industrial sector to regional economy of each province, and the emission intensity per land area of each province, respectively.Based on information entropy, the weights of the indicators were calculated and an emission allocation model was established, and the results showed that provinces like Shandong,Jiangsu, Guangdong, Zhejiang and Fujian were calculated to obtain more emission allowance while burden more reduction responsibility. Meanwhile, provinces like Guizhou, Ningxia,Hainan, Qinghai and Xizang were on the contrary. This paper suggests governments to enhance or ease to industrial VOCs reduction burden of each province in order to stimulate its economy or change its way of economy development.

关键词： VOCs Allowance Allocation Industrial emission China

Novel method for real-time detection and tracking of pig body and its different parts

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International Journal of Agricultural and Biological Engineering 2020年第6期13卷 144-149页

作者： Fuen Chen Xiaoming Liang Longhan Chen Baoyuan Liu Yubin Lan School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA School of electronics and electrical engineering Beijing Jiaotong University Haibin CollegeHuanghua 061199HebeiChina College of Engineering South China Agricultural UniversityGuangzhou 510642China

Detection and tracking of all major parts of pig body could be more productive to help to analyze pig behavior.To achieve this goal,a real-time algorithm based on You Only Look At CoefficienTs(YOLACT)was proposed.A pig body was divided into ten parts:one head,one trunk,four thighs and four shanks.And the key points of each part were calculated by the novel algorithm,which was based mainly on combination of the Zhang-Suen thinning algorithm and Gravity algorithm.The experiment results showed that these parts of pig body could be detected and tracked,and their contributions to overall pig activity could also be sought out.The detect accuracy of the algorithm in the data set could reach up to 90%,and the processing speed to 30.5 fps.Furthermore,the algorithm was robust and adaptive.

关键词： computer vision CNN pig YOLACT detection and tracking

Analysis and Application of Endogenous Wireless Security Principle for Key Generation

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China Communications 2021年第4期18卷 99-114页

作者： Xu Wang liang Jin Yangming Lou xiaoming Xu Information Engineering University Zhengzhou 450001China

The open and broadcast nature of wireless channels leads to the inherent security problem of information leakage in wireless communication.We can utilize endogenous security functions to resolve this problem.The fundamental solution is channel-based mechanisms,like physical layer secret keys.Unfortunately,current investigations have not fully exploited the randomness of wireless channels,making secret key rates not high.Consequently,user data can be encrypted by reducing the data rate to match the secret key rate.Based on the analysis of the endogenous wireless security principle,we proposed that the channel-based endogenous secret key rate can nearly match the maximum data rate in the fast-fading environments.After that,we validated the proposition in an instantiation system with multiple phase shift keying(MPSK)inputs from the perspectives of both theoretical analysis and simulation experiments.The results indicate that it is possible to accomplish the onetime pad without decreasing the data rate via channelbased endogenous keys.Besides,we can realize highspeed endogenously secure transmission by introducing independent channels in the domains of frequency,space,or time.The conclusions derived provide a new idea for wireless security and promote the application of the endogenous security theory.

关键词： endogenous wireless security one-time pad physical layer security secret keys generation

Prediction Model of Refined Gasoline Blending Formula Based on PSO-DBN

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China Petroleum Processing & Petrochemical Technology 2022年第3期24卷 128-138页

作者： Wang xiaoming Li Wei Li Yajie Jiang Dongnian liang Chenglong School of Future Techrology South China University of TechnologyGuangzhou 510641 Pengcheng Laboratory Shenzhen 518000 College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou730050 Oil Storage and Transportation Plant PetroChina Lanzhou Petrochemical CompanyLanzhou730060

To address the problem of the low accuracy of refined gasoline blending formula in the petrochemical industry,the advantages of deep belief networks(DBNs)in feature extraction and nonlinear processing are considered,and they are applied to the prediction modeling of refined gasoline blending conservative formula.Firstly,based on historical measured data of refined gasoline blending and according to the characteristics of the data set,we use bootstrapping to divide the training data set and the test data set.Secondly,considering that parameter selection for the network is difficult,particle swarm optimization is adopted to improve the related optimal parameters and replace the tedious process of manually selecting parameters,greatly improving optimization efficiency.In addition,the contrastive divergence algorithm is used for unsupervised forward feature learning and supervised reverse fine-tuning of the network,so as to construct a more accurate prediction model for conservative formula.Finally,in order to evaluate the effectiveness of this method,the simulation results are compared with those of traditional modeling methods,which show that the DBNs has better prediction performance than error back propagation and support vector machines,and can provide production guidance for refined gasoline blending formula.

关键词： formulation prediction deep belief network contrastive divergence particle swarm optimization

Degradation kinetics of larotaxel and identification of its degradation products in alkaline condition

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Journal of Pharmaceutical Analysis 2017年第2期7卷 118-122页

作者： Xiaoming Liang Zhenzhen Liu Huiyan Shi Yuanyuan Zhang Shixiao Wang Kaishun Bi Xiaohui Chen Department of Pharmaceutical Analysis School of PharmacyShenyang Pharmaceutical University Department of Functional Science School of MedicineYangtze University

Larotaxel, a new taxane compound prepared by partial synthesis from 10-deacetyl baccatin III, is active against tumors. In this research, a selective LC–MS method was developed and validated for the study of degradation kinetics of larotaxel, which was carried out in aqueous solutions with different pH（1.5, 3.0, 5.0, 6.5, 7.4, 9.0, 10 and 11.0） and temperature（0, 25, 37 and 45 °C）. The linear range was 0.5–25 μg/mL, the intra-and inter-day precisions were less than 7.0%, and accuracy ranged from 97.4–104.5% for each analyte. The observed rate obtained by measuring the remaining intact larotaxel was shown to follow first-order kinetics. The activation energies for degradation were 126.7 and 87.01 k J/mol at pH 1.5 and 11, respectively. Although larotaxel was stable in pH 5, 6.5 and 7.4 buffers at 37 °C for 24 h during our study, increasing or decreasing the pH of the solutions would decrease its stabilities. Moreover, three main degradation products in alkaline condition were separated by HPLC and identified by Q–TOF–MS. The three degradation products were confirmed as 10-deacetyl larotaxel, 7, 8-cyclopropyl baccatin Ⅲ and 10-deacetyl-7, 8-cyclopropyl baccatin Ⅲ.

关键词： Larotaxel Degradation kinetics pH Temperature Degradation products

Breaking the von Neumann bottleneck:architecture-level processing-in-memory technology

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Science China(Information Sciences) 2021年第6期64卷 60-69页

作者： Xingqi ZOU Sheng XU xiaoming CHEN liang YAN Yinhe HAN Institute of Computing Technology Chinese Academy of Sciences Zhejiang Lab Department of Computer Technology and Information Anhui Normal University University of Chinese Academy of Sciences

The "memory wall" problem or so-called von Neumann bottleneck limits the efficiency of conventional computer architectures, which move data from memory to CPU for computation; these architectures cannot meet the demands of the emerging memory-intensive applications. Processing-in-memory(PIM) has been proposed as a promising solution to break the von Neumann bottleneck by minimizing data movement between memory hierarchies. This study focuses on prior art of architecture level DRAM PIM technologies and their implementation. The key challenges and mainstream solutions of PIM are summarized and introduced. The relative limitations of PIM simulation are discussed, as well as four conventional PIM simulators.Finally, research directions and perspectives are proposed for future development.

关键词： processing-in-memory(PIM) von Neumann bottleneck memory wall PIM simulator architecture-level PIM

Innovation-driven trend shaping COVID-19 vaccine development in China

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Frontiers of Medicine 2023年第6期17卷 1096-1116页

作者： Yuntao Zhang Yuxiu Zhao Hongyang liang Ying Xu Chuge Zhou Yuzhu Yao Hui Wang xiaoming Yang China National Biotec Group Company Limited Beijing 100029China National Engineering Technology Research Center of Combined Vaccines Wuhan 430207China

Confronted with the Coronavirus disease 2019(COVID-19)pandemic,China has become an asset in tackling the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)transmission and mutation,with several innovative platforms,which provides various technical means in this persisting combat.Derived from collaborated researches,vaccines based on the spike protein of SARS-CoV-2 or inactivated whole virus are a cornerstone of the public health response to COVID-19.Herein,we outline representative vaccines in multiple routes,while the merits and plights of the existing vaccine strategies are also summarized.Likewise,new technologies may provide more potent or broader immunity and will contribute to fight against hypermutated SARS-CoV-2 variants.All in all,with the ultimate aim of delivering robust and durable protection that is resilient to emerging infectious disease,alongside the traditional routes,the discovery of innovative approach to developing effective vaccines based on virus properties remains our top priority.

关键词： SARS-CoV-2 COVID-19vaccine vaccine development