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| 1 | Pollution assessment of heavy metals along the Mekong River and dam effects显示文摘在湄公河河盆的水文学政体,沉积和水质量的资源发展和变化吸引了大注意。这研究试图在这条国际河里在重金属的 transboundary 污染上提高学习。在这研究,八个采样地点被选择沿着湄公河河的主流收集床沙样品。另外, 5 个重金属元素的内容和他们沿着河的主流的空间可变性被分析。geoaccumulation 索引(Igeo ) 和潜在的生态的风险分析被采用在湄公河河的主流估计重金属污染地位。结果证明重金属元素 Zn 的平均内容是 91.43 mg/kg , Pb 是 41.85 mg/kg ,并且这是在上面的湄公河的床沙的 21.84 mg/kg 河,比那些高, Zn 68.17 mg/kg , Pb 28.22 mg/kg ,作为 14.97 mg/kg )在更低的湄公河。在更低的湄公河的 Cr 的平均内容是 418.86 mg/kg,比那高在上面的湄公河(42.19 mg/kg ) 。Luang Prabang 与 422.90 mg/kg 与 762.93 mg/kg 和 Pakse 有很高的 Cr 集中。8 个采样地点的在所有的 Cu 的集中是类似的,除了在有 11.70 mg/kg 的 Jiajiu 和有 7.00 mg/kg 的 Jiebei。当时, geoaccumulation 索引的结果表明污染由 Zn 和 Pb 引起了 Pb 并且这多于由在上面的湄公河的 Zn 的那些。Cr 是在更低的湄公河的主要污染物质,特别在 Luang Prabang 和 Pakse。细微污染与作为也发生在 Pakse。潜在的生态的风险索引显示在湄公河河的主流的重金属的潜在的生态的风险是低的。我们主张水质量的污染和在床沉积的重金属的污染在湄公河由矿物质资源或 geochemical 背景价值的采矿引起了没被播送从对更低的湄公河上面因为沿着河的水库沉积和冲淡。 | FU Kaidao SU Bin HE Daming LU Xixi SONG Jingyi HUANG Jiangcheng | 2012 | Journal of Geographical Sciences2012，22，5： | 10 |
| 2 | CRISPR/Cas9-mediated gene knockout reveals a guardian role of NF-κB/RelA in maintaining the homeostasis of human vascular cells显示文摘 | Ping Wang Zunpeng Liu Xiaoqian Zhang Jingyi Li Liang Sun Zhenyu Ju Jian Li Piu Chan Guang-Hui Liu Weiqi Zhang Moshi Song Jing Qu | 2018 | Protein & Cell2018，9，11： | 8 |
| 3 | Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication,metabolite traits,and antiinflammatory effects显示文摘Foxtail millet(Setaria italica),which was domesticatedfromthewild speciesgreenfoxtail(Setaria viridis),isa richsource of phytonutrientsfor humans.To evaluate how breeding changed themetabolome offoxtail millet grains,we generated and analyzed the datasets encompassing the genomes,transcriptomes,metabolomes,and anti-inflammatory indices from 398 foxtail millet accessions.We identified hundreds of common variants that influence numerous secondary metabolites.We observed tremendous differences in natural variations of the metabolites and their underlying genetic architectures between distinct sub-groups of foxtail millet.Furthermore,we found that the selection of the gene alleles associated with yellow grains led to altered profiles of metabolites such as carotenoids and endogenous phytohormones.Using CRiSPR-mediated genome editing wevalidated the function of PHYTOENE SYNTHASE1(PSY1)gene in affecting milletgrain colorand quality.Interestingly,our in vitro cell inflammation assays showed that 83 metabolites in millet grains have anti-inflammatory effects.Taken together,ourmulti-omics study illustrates how the breeding history of foxtail millet has shaped its metabolite profile.The datasets we generated in this study also provide important resources for further understanding how millet grain quality is affected by different metabolites,laying the foundations for future millet genetic research and metabolome-assisted improvement. | Xukai Li Jianhua Gao Jingyi Song Kai Guo Siyu Hou Xingchun Wang Qiang He Yanyan Zhang Yakun Zhang Yulu Yang Jiaoyan Tang Hailang Wang Staffan Persson Mingquan Huang Lishuai Xu Linlin Zhong Dongqin Li Yongming Liu Hua Wu Xianmin Diao Peng Chen Xiaowen Wang Yuanhuai Han | 2022 | Molecular Plant2022，15，8： | 8 |
| 4 | The RNA-binding protein QKI5 regulates primary miR-124-1 processing via a distal RNA motif during erythropoiesis显示文摘 | Fang Wang Wei Song Hongmei Zhao Yanni Ma Yuxia Li Di Zhai Jingnan Pi Yanmin Si Jiayue Xu Lei Dong Rui Su Mengmeng Zhang Yong Zhu Xiaoxia Ren Fei Miao Wenjie Liu Feng Li Junwu Zhang Aibin He Ge Shan Jingyi Hui Linfang Wang Jia Yu | 2017 | Cell Research2017，27，3： | 7 |
| 5 | The landscape of aging显示文摘Aging is characterized by a progressive deterioration of physiological integrity,leading to impaired functional ability and ultimately increased susceptibility to death.It is a major risk factor for chronic human diseases,including cardiovascular disease,diabetes,neurological degeneration,and cancer.Therefore,the growing emphasis on “healthy aging” raises a series of important questions in life and social sciences.In recent years,there has been unprecedented progress in aging research,particularly the discovery that the rate of aging is at least partly controlled by evolutionarily conserved genetic pathways and biological processes.In an attempt to bring full-fledged understanding to both the aging process and age-associated diseases,we review the descriptive,conceptual,and interventive aspects of the landscape of aging composed of a number of layers at the cellular,tissue,organ,organ system,and organismal levels. | Yusheng Cai Wei Song Jiaming Li Ying Jing Chuqian Liang Liyuan Zhang Xia Zhang Wenhui Zhang Beibei Liu Yongpan An Jingyi Li Baixue Tang Siyu Pei Xueying Wu Yuxuan Liu Cheng-Le Zhuang Yilin Ying Xuefeng Dou Yu Chen Fu-Hui Xiao Dingfeng Li Ruici Yang Ya Zhao Yang Wang Lihui Wang Yujing Li Shuai Ma Si Wang Xiaoyuan Song Jie Ren Liang Zhang Jun Wang Weiqi Zhang Zhengwei Xie Jing Qu Jianwei Wang Yichuan Xiao Ye Tian Gelin Wang Ping Hu Jing Ye Yu Sun Zhiyong Mao Qing-Peng Kong Qiang Liu Weiguo Zou Xiao-Li Tian Zhi-Xiong Xiao Yong Liu Jun-Ping Liu Moshi Song Jing-Dong J.Han Guang-Hui Liu | 2022 | Science China(Life Sciences)2022，65，12： | 4 |
| 6 | Real-time AGC dispatch units considering wind power and ramping capacity of thermal units显示文摘The high penetration of wind energy sources in power systems has substantially increased the demand for faster-ramping thermal units participating in the frequency regulation service.To fulfill the automatic generation control(AGC)and compensate the influence of wind power fluctuations simultaneously,ramping capacity should be considered in the dispatch model of thermals.Meanwhile,conventional methods in this area do not take the impact of transmission loss into the dispatch model,or rely on offline network model and parameters,failing to reflect the real relationships between the wind farms and thermal generators.This paper proposes an online approach for AGC dispatch units considering the above issues.Firstly,the power loss sensitivity is online identified using recursive least square method based on the real-time data of phasor measurement units.It sets up power balance constraint and results in a more accurate dispatch model.Then,an improved multi-objective optimization model of dispatch is proposed and a connection is established between the thermal units with fast ramping capacity and the wind farms with rapid fluctuations.Genetic algorithm is used to solve the dispatch model.The proposed method is compared with conventional methods in simulation case in the IEEE 30-bus system.Finally,simulation results verify the validity and the feasibility of identification method and optimization model. | Jingyi ZHANG Chao LU Jie SONG Junbo ZHANG | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，3： | 4 |
| 7 | A single-cell transcriptomic atlas of primate pancreatic islet aging显示文摘Aging-related degeneration of pancreatic islet cells contributes to impaired glucose tolerance and diabetes.Endocrine cells age heterogeneously,complicating the efforts to unravel the molecular drivers underlying endocrine aging.To overcome these obstacles,we undertook single-cell RNA sequencing of pancreatic islet cells obtained from young and aged non-diabetic cynomolgus monkeys.Despite sex differences and increased transcriptional variations,agedβ-cells showed increased unfolded protein response(UPR)along with the accumulation of protein aggregates.We observed transcriptomic dysregulation of UPR components linked to canonical ATF6 and IRE1 signaling pathways,comprising adaptive UPR during pancreatic aging.Notably,we found aging-relatedβ-cell-specific upregulation of HSP90 B1,an endoplasmic reticulum-located chaperone,impeded high glucose-induced insulin secretion.Our work decodes aging-associated transcriptomic changes that underlie pancreatic islet functional decay at single-cell resolution and indicates that targeting UPR components may prevent loss of proteostasis,suggesting an avenue to delayingβ-cell aging and preventing aging-related diabetes. | Jingyi Li Yuxuan Zheng Pengze Yan Moshi Song Si Wang Liang Sun Zunpeng Liu Shuai Ma Juan Carlos Izpisua Belmonte Piu Chan Qi Zhou Weiqi Zhang Guang-Hui Liu Fuchou Tang Jing Qu | 2021 | National Science Review2021，8，2： | 3 |
| 8 | Crucial control measures to contain China's first Delta variant outbreak显示文摘The SARS-C oV-2 B.1.617.2(Delta) variant flared up in late May in Guangzhou,China.Transmission characteristics of Delta variant were analysed for 153 confirmed cases and two complete transmission chains with seven generations were fully presented.A rapid transmission occurred in five generations within10 days.The basic reproduction number(R_0) was 3.60(95% confidence interval:2.50-5.30).After redefining the concept of close contact,the proportion of confirmed cases discovered from close contacts increased from 43% to 100%.With the usage of a yellow health code,the potential exposed individuals were self-motivated to take a nucleic acid test and regained public access with a negative testing result.Facing the massive requirement of screening,novel facilities like makeshift inflatable laboratories were promptly set up as a vital supplement and 17 cases were found,with 1 pre-symptomatic.The dynamic adjustment of these three interventions resulted in the decline of Rt from 5.00 to 1.00 within 9 days.By breaking the transmission chain and eliminating the transmission source through extending the scope of the close-contact tracing,health-code usage and mass testing,the Guangzhou D elta epidemic was effectively contained. | Lei Luo Zifeng Yang Jingyi Liang Yu Ma Hui Wang Chitin Hon Mei Jiang Zhengshi Lin Wenda Guan Zhitong Mai Yongming Li Kailin Mai Zhiqi Zeng Chuanmeizi Tu Jian Song Bin Liu Yong Liu Jianfeng He Huiyuan Li Bosheng Li Hang Dong Yutian Miao Shujun Fan Lirui Fan Xingyi Liang Ke Li Chun Chen Huihong Deng Zhicong Yang Nanshan Zhong | 2022 | National Science Review2022，9，4： | 2 |
| 9 | Remediation of 2,4-dichlorophenol-contaminated groundwater using nano-sized CaO_(2)in a two-dimensional scale tank显示文摘This study evaluates the applicability of nano-sized calcium peroxide(CaO_(2))as a source of H_(2)O_(2)to remediate 2,4-dichlorophenol(2,4-DCP)contaminated groundwater via the advanced oxidation process(AOP).First,the effect and mechanism of 2,4-DCP degradation by CaO_(2)at different Fe concentrations were studied(Fenton reaction).We found that at high Fe concentrations,2,4-DCP almost completely degrades via primarily the oxidation of·OH within 5 h.At low Fe concentrations,the degradation rate of 2,4-DCP decreased rapidly.The main mechanism was the combined action of·OH and O_(2)^(·−).Without Fe,the 2,4-DCP degradation reached 13.6%in 213 h,primarily via the heterogeneous reaction on the surface of CaO_(2).Besides,2,4-DCP degradation was significantly affected by solution pH.When the solution pH was>10,the degradation was almost completely inhibited.Thus,we adopted a two-dimensional water tank experiment to study the remediation efficiency CaO_(2)on the water sample.We noticed that the degradation took place mainly in regions of pH<10(i.e.,CaO_(2)distribution area),both upstream and downstream of the tank.After 28 days of treatment,the average 2,4-DCP degradation level was≈36.5%.Given the inadequacy of the results,we recommend that groundwater remediation using nano CaO_(2):(1)a buffer solution should be added to retard the rapid increase in pH,and(2)the nano CaO_(2)should be injected copiously in batches to reduce CaO_(2)deposition. | Tianyi Li Chengwu Zhang Jingyi Zhang Song Yan Chuanyu Qin | 2021 | Frontiers of Environmental Science & Engineering2021，15，5： | 2 |
| 10 | Biomarkers of aging显示文摘Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant. | Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu | 2023 | Science China(Life Sciences)2023，66，5： | 2 |
| 11 | A survey on deploying mobile deep learning applications:A systemic and technical perspective显示文摘With the rapid development of mobile devices and deep learning,mobile smart applications using deep learning technology have sprung up.It satisfies multiple needs of users,network operators and service providers,and rapidly becomes a main research focus.In recent years,deep learning has achieved tremendous success in image processing,natural language processing,language analysis and other research fields.Despite the task performance has been greatly improved,the resources required to run these models have increased significantly.This poses a major challenge for deploying such applications on resource-restricted mobile devices.Mobile intelligence needs faster mobile processors,more storage space,smaller but more accurate models,and even the assistance of other network nodes.To help the readers establish a global concept of the entire research direction concisely,we classify the latest works in this field into two categories,which are local optimization on mobile devices and distributed optimization based on the computational position of machine learning tasks.We also list a few typical scenarios to make readers realize the importance and indispensability of mobile deep learning applications.Finally,we conjecture what the future may hold for deploying deep learning applications on mobile devices research,which may help to stimulate new ideas. | Yingchun Wang Jingyi Wang Weizhan Zhang Yufeng Zhan Song Guo Qinghua Zheng Xuanyu Wang | 2022 | Digital Communications and Networks2022，8，1： | 1 |
| 12 | An iron-dependent form of non-canonical ferroptosis induced by labile iron显示文摘Ferroptosis is a recently identified iron-dependent form of nonapoptotic cell death characterized by reactive oxygen species(ROS) generation and lipid peroxidation.Here,we report a novel iron-dependent form of ferroptosis induced by labile iron and investigate the mechanism underlying this process.We find that labile iron-induced ferroptosis is distinct from canonical ferroptosis and is linked to the mitochondrial pathway.Specifically,the mitochondrial calcium uniporter mediates the ferroptosis induced by labile iron.Interestingly,cells undergoing labile iron-induced ferroptosis exhibit cytoplasmic features of oncosis and nuclear features of apoptosis.Furthermore,labile iron-induced ferroptosis involves a unique set of genes.Finally,labile ironinduced ferroptosis was observed in liver subjected to acute iron overload in vivo.Our study reveals a novel form of ferroptosis that may be implicated in diseases caused by acute injury. | Yanmeng Li Qin Ouyang Wei Chen Ke Liu Bei Zhang Jingyi Yao Song Zhang Junying Ding Min Cong Anjian Xu | 2023 | Science China(Life Sciences)2023，66，3： | 1 |
| 13 | Finite Element Analysis and Experimental Studies on Hybird Magnetic Bearing 显示文摘 | Liwei Song Jingyi Gao Wei Zhu | 2010 | IEEE Vehicle Power and Propulsion Conference2010，，： | 1 |
| 14 | Transforming Growth Factor–β Signaling in Hepatocytes Promotes Hepatic Fibrosis and Carcinogenesis in Mice With Hepatocyte-Specific Deletion of TAK1显示文摘 | Ling Yang Sayaka Inokuchi Yoon Seok Roh Jingyi Song Rohit Loomba Eek Joong Park Ekihiro Seki | 2013 | Gastroenterology2013，，5： | 1 |
| 15 | Solvatochromic Probe Based on Nanocellulose Membrane Coated with Zn-terpyridine Complex in a Layer-by-Layer Manner显示文摘Solvatochromic materials have recently attracted increasing attention owing to their great significance in the security and sensor fields.In this study,ultrafast explicit and implicit information was collected regarding a fluorescent nanocellulose membrane produced from nanocellulose membranes coated with a Zn-terpyridine complex(Zn-tpy)in a layer-by-layer manner.The fluorescent emissions of the nanocellulose membrane changed from yellow(CIE:x=0.37,y=0.45)to green(CIE:x=0.32,y=0.47)under a dichloromethane environment and 365-nm irradiation.Due to the ease of dichloromethane volatilization,fluorescent emissions quickly returned to the original state.These solvatochromic nanocellulose membranes,with ultrafast explicit and implicit information,exhibited valuable application prospects in anti-counterfeiting techniques. | XinPing Li FaFa Song Meng Zhang BaiLiang Xue JingYi Nie ShunTian Jia YaoYu Wang Zhao Zhang | 2019 | Paper And Biomaterials2019，4，2： | 1 |
| 16 | Ultrafiltration recovery of alginate: Membrane fouling mitigation by multivalent metal ions and properties of recycled materials显示文摘Recovery of alginate extracted from aerobic granular sludge(AGS)has given rise to a novel research direction.However,these extracted alginate solutions have a water content of nearly 100%.Alternately,ultrafiltration(UF)is generally used for concentration of polymers.Furthermore,the introduction of multivalent metal ions into alginate may provide a promising method for the development of novel nanomaterials.In this study,membrane fouling mitigation by multivalent metal ions,both individually and in combination,and properties of recycled materials were investigated for UF recovery of sodium alginate(SA).The filtration resistance showed a significantly negative correlation with the concentration of metal ions,arranged in the order of Mg^2+Fe^3++Ca^2+>Ca^2+>Mg^2+.Three mechanisms were proposed in the presence of Fe^3+,such as the decrease of SA concentration,change in p H,and production of hydroxide iron colloids from hydrolysis.The properties of recycled materials(filter cake)were investigated via optical microscope observation,dynamic light scattering,Fourier transform infrared,X-ray photoelectron spectroscopy(XPS),and scanning electron microscopy.The results provide further insight into UF recoveries of alginate extracted from AGS. | Daqi Cao Jingyi Jin QunhuiWang Xin Song Xiaodi Hao Eiji Iritani Nobuyuki Katagiri | 2020 | Chinese Journal of Chemical Engineering2020，28，11： | 1 |
| 17 | Ultrastable bimetallic Fe_(2)Mo for efficient oxygen reduction reaction in pH-universal applications显示文摘Iron-based nanostructures represent an emerging class of catalysts with high electroactivity for oxygen reduction reaction(ORR)in energy storage and conversion technologies.However,current practical applications have been limited by insufficient durability in both alkaline and acidic environments.In particular,limited attention has been paid to stabilizing iron-based catalysts by introducing additional metal by the alloying effect.Herein,we report bimetallic Fe_(2)Mo nanoparticles on N-doped carbon(Fe_(2)Mo/NC)as an efficient and ultra-stable ORR electrocatalyst for the first time.The Fe_(2)Mo/NC catalyst shows high selectivity for a four-electron pathway of ORR and remarkable electrocatalytic activity with high kinetics current density and half-wave potential as well as low Tafel slope in both acidic and alkaline medias.It demonstrates excellent long-term durability with no activity loss even after 10,000 potential cycles.Density functional theory(DFT)calculations have confirmed the modulated electronic structure of formed Fe_(2)Mo,which supports the electron-rich structure for the ORR process.Meanwhile,the mutual protection between Fe and Mo sites guarantees efficient electron transfer and long-term stability,especially under the alkaline environment.This work has supplied an effective strategy to solve the dilemma between high electroactivity and long-term durability for the Fe-based electrocatalysts,which opens a new direction of developing novel electrocatalyst systems for future research. | Jue Hu Chengxu Zhang Mingzi Sun Qianglong Qi Shanxiong Luo Hongchuan Song Jingyi Xiao Bolong Huang Michael K.H.Leung Yingjie Zhang | 2022 | Nano Research2022，15，6： | 1 |
| 18 | Rapid and label-free classification of pathogens based on light scattering,reduced power spectral features and support vector machine显示文摘The rapid identification of pathogens is crucial in controlling the food quality and safety.The proposed system for the rapid and label-free identification of pathogens is based on the principle of laser scattering from the bacterial microbes.The clinical prototype consists of three parts:the laser beam,photodetectors,and the data acquisition system.The bacterial testing sample was mixed with 10 mL distilled water and placed inside the machine chamber.When the bacterial microbes pass by the laser beam,the scattering of light occurs due to variation in size,shape,and morphology.Due to this reason,different types of pathogens show their unique light scattering patterns.The photo-detectors were arranged at the surroundings of the sample at different angles to collect the scattered light.The photodetectors convert the scattered light intensity into a voltage waveform.The waveform features were acquired by using the power spectral characteristics,and the dimensionality of extracted features was reduced by applying minimal-redundancy-maximal-relevance criterion(mRMR).A support vector machine(SVM)classifier was developed by training the selected power spectral features for the classification of three different bacterial microbes.The resulting average identification accuracies of E.faecalis,E.coli and S.aureus were 99%,87%,and 94%,respectively.The ove rall experimental results yield a higher accuracy of 93.6%,indicating that the proposed device has the potential for label-free identification of pathogens with simplicity,rapidity,and cost-effectiveness. | Mubashir Hussain Zhen Chen Mu Lv Jingyi Xu Xiaohan Dong Jingzhou Zhao Song Li Yan Deng Nongyue He Zhiyang Li Bin Liu | 2020 | Chinese Chemical Letters2020，31，12： | 0 |
| 19 | Application of FCM Algorithm Combined with Artificial Neural Network in TBM Operation Data显示文摘Fuzzy clustering theory is widely used in data mining of full-face tunnel boring machine.However,the traditional fuzzy clustering algorithm based on objective function is difficult to effectively cluster functional data.We propose a new Fuzzy clustering algorithm,namely FCM-ANN algorithm.The algorithm replaces the clustering prototype of the FCM algorithm with the predicted value of the artificial neural network.This makes the algorithm not only satisfy the clustering based on the traditional similarity criterion,but also can effectively cluster the functional data.In this paper,we first use the t-test as an evaluation index and apply the FCM-ANN algorithm to the synthetic datasets for validity testing.Then the algorithm is applied to TBM operation data and combined with the crossvalidation method to predict the tunneling speed.The predicted results are evaluated by RMSE and R^(2).According to the experimental results on the synthetic datasets,we obtain the relationship among the membership threshold,the number of samples,the number of attributes and the noise.Accordingly,the datasets can be effectively adjusted.Applying the FCM-ANN algorithm to the TBM operation data can accurately predict the tunneling speed.The FCM-ANN algorithm has improved the traditional fuzzy clustering algorithm,which can be used not only for the prediction of tunneling speed of TBM but also for clustering or prediction of other functional data. | Jingyi Fang Xueguan Song Nianmin Yao Maolin Shi | 2021 | Computer Modeling in Engineering & Sciences2021，，1： | 0 |
| 20 | Modeling and Simulation of Electrical System in More Electric Civil Aircraft Considering Faults显示文摘Based on the integrated design and airworthiness verification of civil aircraft system,this paper completes the simulation modeling and fault modeling of aircraft electrical system. The aircraft electrical system is constructed in the form of dual generators and dual-channel power supply. The main power supply adopts the three-stage power generation system,the auxiliary power supply system uses the permanent magnet synchronous power generation system and a battery. The transmission and distribution system is responsible for the electrical power conversion and the logic control in the system fault-pattern. The simulation results show that the system is reasonable and effective,which provides a reference for the optimal design and control of the actual aircraft electrical system. | WANG Jingyi HUANG Zequn PENG Chenfan ZHAO Xujing LI Yihui SONG Shoujun | 2018 | International Journal of Plant Engineering and Management2018，23，4： | 0 |
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