检索结果-南通市图书馆

在线全文

学校读者我要写书评

暂无评论

新型电梯轿厢超容积检测系统的设计探讨

价值工程 2024年第26期43卷 112-114页

作者：刘柯宏陈炜桥日立电梯(成都)有限公司成都611731

为提升电梯的使用安全性,如今很多高层建筑的电梯轿厢都安装了超容积检测装置,但主要是利用红外线感应、超声感应等各类价格高昂的装置来实现超容积检测,不仅成本高,性能影响因素也比较多,导致性能不太稳定。基于此,本文提出一种在传统... 详细信息

为提升电梯的使用安全性,如今很多高层建筑的电梯轿厢都安装了超容积检测装置,但主要是利用红外线感应、超声感应等各类价格高昂的装置来实现超容积检测,不仅成本高,性能影响因素也比较多,导致性能不太稳定。基于此,本文提出一种在传统摄像头视频监控技术的基础上,融入图像处理、智能分析等计算机信息技术的新型新型电梯轿厢超容积检测系统,可以在较低的成本下,实现高效率的电梯轿厢超容积检测功能,以下就对这一系统的设计展开探讨,希望能为相关领域人员提供一定参考。

关键词：电梯轿厢超容积检测视频监控

Complete genome sequence analysis of two Citrus tatter leaf virus(CTLV) isolates from China

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2015年第5期14卷 984-987页

作者： SONG Zhen LI Zhong-an liu ke-hong ZHOU Chang-yong Citrus Research Institute Southwest University/Chinese Academy of Agricultural Sciences

In order to understand molecular characterization of Citrus tatter leaf virus（CTLV） isolated from China,full-length cDNAs of CTLV-MTH and CTLV-XHC from Citrus reticulata and Citrus sinensis were cloned and sequenced based on whole-genome amplification by *** complete nucleotide sequences of CTLV-MTH and CTLV-XHC were determined to be 6497 nucleotides in length and shared 79.9-91.0%and 78.8-98.0%nucleotide sequence identity,respectively,with other Apple stem grooving virus（ASGV） or CTLV strains available in ***,CTLV-MTH showed the highest nucleotide sequence identity（91%） with an apple isolate of ASGV,followed by 86.5%with ASGV-HH and 85.7%with ***,CTLV-MTH and three ASGV strains were grouped to a separate cluster in the phylogenetic tree,suggesting it has a closer relationship to ASGV than to ***,it can be concluded roughly that CTLV may be not a distinct strains of *** proposed that Citrus tatter leaf virus should be renamed Apple stem grooving virus.

关键词： Citrus isolates Apple apple citrus sequenced length phylogenetic cloned orange

Characterization of Citrus tristeza virus Isolates by Indicators and Molecular Biology Methods

在线全文

学校读者我要写书评

暂无评论

Agricultural Sciences in China 2007年第5期6卷 573-579页

作者： ZHOU Yan ZHOU Chang-yong SONG Zhen liu ke-hong YANG Fang-yun Citrus Research Institute Southwest University/Citrus Research Institute Chinese Academy of Agricultural Sciences Chongqing 400712P. R. China

Citrus tristeza virus （CTV） exists in citrus as a large number of distinct strains differing in biological characters. The control strategies such as mild strains cross protection （MSCP） require a clear understanding of the characterization of CTV. For better understanding of the structure of CTV population and the relationship between molecular and biological characterization, 72 CTV samples collected from five provinces in China were studied, using biological indexing, p25/Hinf I restriction fragment length polymorphism （RFLP）, multiple molecular markers, and bidirectional RT-PCR assay. The mixture of severe stem pitting isolates was found to be dominant in the field. CTV isolates with p25/Hinf Ⅰ RFLP group 3 and p23/BD-PCR group Ⅰ, Ⅲ were the main cause of epidemics, and most CTV isolates were found to be the mixture of T30 and VT genotypes. More accurate identification of strain mixtures in the field and better understanding of the biological traits of the isolates may be achieved by applying the three molecular detection methods simultaneously.

关键词： Citrus tristeza virus (CTV) biological indexing molecular detection

Decreasing detection frequency of MITE(MCLas-A)in the population of‘Candidatus Liberibacter asiaticus'recently collected in southern China

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2020年第10期19卷 2597-2601页

作者： CUI Xue-jin ZENG Chun-hua liu ke-hong TENG Cai-ling ZHOU Chang-yong WANG Xue-feng National Citrus Engineering Research Center Citrus Research InstituteChinese Academy of Agricultural Sciences/Southwest UniversityChongqing 400712P.R.China

An active miniature inverted-repeat transposable element(MITE),MCL as-A,was previously identified from'Candidatus Liberibacter asiaticus'known to be associated with citrus Huanglongbing(HL B,yellow shoot disease).To explore the recent transposition status of MCLas-A,389'***'strains collected from nine regions in China were amplifed using a specific primer set and three representative'***'strains were analyzed by next-generation sequencing(NGS)*** and genomic analysis showed that the entire MCLas A was only present in 1.80%(7/389)and the jumping-out type of the MITE was predominant(8123%)in samples tested,suggesting high frequency transposition occurred in'***'strains recently collected from *** roles of transposition of the active MITE remain to be determined.

关键词： Huanglongbing Candidatus Liberibacter asiaticus' miniature inverted-repeat transposable element MITE

Apple stem grooving virus is associated with leaf yellow mottle mosaic disease on Citrus grandis cv. Huangjinmiyou in China

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2022年第7期21卷 2031-2041页

作者： XUAN Zhi-you ZHANG Song LI Ping YANG Fang-yun CHEN hong-ming liu ke-hong ZHOU Yan LI Zhong-an ZHOU Chang-yong CAO Meng-ji National Citrus Engineering and Technology Research Center Citrus Research InstituteSouthwest UniversityChongqing 400712P.R.China State Cultivation Base of Crop Stress Biology for Southern Mountainous Land Academy of Agricultural SciencesSouthwest UniversityChongqing 400715P.R.China

Although it is usually latent on citrus, apple, and pear, apple stem grooving virus(ASGV) poses a great risk to many sensitive cultivars. Since severe leaf yellow mottle mosaic(LYMM) symptoms have been observed on Huangjinmiyou(HJY) pummelos(Citrus grandis cv. Huangjinmiyou), a commercial variety that is widely cultivated in South China, high throughput sequencing(HTS) was used to find potential pathogens and only three divergent ASGV variants were identified. The three ASGV variants shared 81.03–82.34% genome-wide pairwise identities with each other, and were separately closest to other ASGV variants from different hosts and/or geographical regions, as indicated by viral phylogenies. However, these new variants may have developed from viral interstrain interactions, based on the results of recombination analysis. A large-scale survey using reverse transcription-PCR(RT-PCR) protocols designed for the three ASGV variants revealed a high incidence(92.7–100%) of ASGV in symptomatic HJY trees from 11 major citrusproducing regions in China. None of ASGV were detected in asymptomatic trees. Temperature treatments applied to the symptomatic HJY plants showed that ASGV is sensitive to high temperatures(30–35°C), at which not only the plants recovered, but also the viruses were not detected by RT-PCR, while at low temperatures(20–24°C), both the symptoms and viruses remained detectable. These data show that ASGV is associated with the LYMM disease prevalent on HJY in China, and this is the significant basis especially of taking appropriate measures timely to manage the disease.

关键词： citrus pummelo apple stem grooving virus genome sequence thermotherapy

Sensing properties and mechanisms of LaF_(3)-Co_(3)O_(4) nanorods for low-concentration methanol detection

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第5期43卷 2193-2204页

作者： Xiao-Xi He hong-Feng Chai Yi-Wen Zhou ke-Wei liu Ze-Xin Yu Chao Zhang College of Mechanical Engineering Yangzhou UniversityYangzhou225127China Institutefor Manufacturing Technologies of Ceramic Components and Composites(IMTCCC) University of Stuttgart70569 StuttgartGermany

Methanol is one of the characteristic gases that distinguish between healthy individuals and lung cancer(LC)lesions in exhaled human *** concentration in exhaled breath is generally below one part per million(1×10^(-6)).The second-phase composite is widely regarded as one of the methods to improve the gas-sensing perfor-mance of metal oxide semiconductor(MOS)*** this study,LaF_(3)-Co_(3)O_(4) was synthesized by a simple hydrothermal method to enhance its low-concentration methanol gas-sensing performance.5 at%LaF_(3)-Co_(3)O_(4) nanorods exhibited excellent methanol detection performance,including a wider linear detection concentration range(0.2×10^(-6)~5×10^(-6)),a response value exceeding 4.0 for 1×10^(-6)methanol at 275°C and 75%relative humidity(RH),long-term stability(maximum deviation within 15%over 2 weeks),and excellent *** mechanism of performance enhancement was studied using various techniques,and density functional *** special spinel structure of Co_(3)O_(4),the high ionic migration of F-in LaF_(3),the larger specific surface area of 5 at%LaF_(3)-Co_(3)O_(4) nanorods,and the generated crystal defects all explain the excellentmethanol gas-sensing *** work provides a novel route to prepare MOS composite materials for low-concentration methanol gas detection.

关键词： Gas sensor LaF_(3) Co_(3)O_(4) Methanol Lung cancer

Multi-objective evolutionary optimization for hardware-aware neural network pruning

在线全文

学校读者我要写书评

暂无评论

Fundamental Research 2024年第4期4卷 941-950页

作者： Wenjing hong Guiying Li Shengcai liu Peng Yang ke Tang Guangdong Provincial key Laboratory of Brain-Inspired Inteligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Research Institute of Trustworthy Autonomous Systems Southern University of Science and TechnologyShenzhen 518055China Department of Statistics and Data Science Southern University of Science and TechnologyShenzhen 518055China

Neural network pruning is a popular approach to reducing the computational complexity of deep neural *** recent years,as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics,and as new types of hardware become increasingly available,hardware-aware network pruning that incorporates hardware characteristics in the loop of network pruning has gained growing attention,Both network accuracy and hardware efficiency(latency,memory consumption,etc.)are critical objectives to the success of network pruning,but the conflict between the multiple objectives makes it impossible to find a single optimal *** studies mostly convert the hardware-aware network pruning to optimization problems with a single *** this paper,we propose to solve the hardware-aware network pruning problem with Multi-Objective Evolutionary Algorithms(MOEAs).Specifically,we formulate the problem as a multi-objective optimization problem,and propose a novel memetic MOEA,namely HAMP,that combines an efficient portfoliobased selection and a surrogate-assisted local search,to solve *** studies demonstrate the potential of MOEAs in providing simultaneously a set of alternative solutions and the superiority of HAMP compared to the state-of-the-art hardware-aware network pruning method.

关键词： Multi-objective optimization Evolutionary algorithm Neural network pruning Hardware-awaremachine learning Hardware efficiency

Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1239-1249页

作者： ke Li Shunyi Zhao Biao Huang Fei liu key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan UniversityWuxi 214122China Department of Chemical and Materials Engineering University of AlbertaEdmonton AB T6G 2G6Canada

In the era of exponential growth of data availability,the architecture of systems has a trend toward high dimensionality,and directly exploiting holistic information for state inference is not always computationally *** paper proposes a novel Bayesian filtering algorithm that considers algorithmic computational cost and estimation accuracy for high-dimensional linear *** high-dimensional state vector is divided into several blocks to save computation resources by avoiding the calculation of error covariance with immense *** that,two sequential states are estimated simultaneously by introducing an auxiliary variable in the new probability space,mitigating the performance degradation caused by state ***,the computational cost and error covariance of the proposed algorithm are analyzed analytically to show its distinct features compared with several existing *** results illustrate that the proposed Bayesian filtering can maintain a higher estimation accuracy with reasonable computational cost when applied to high-dimensional linear systems.

关键词： filtering estimation error

Multi-Perspective Data Fusion Framework Based on Hierarchical BERT: Provide Visual Predictions of Business Processes

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第1期78卷 1227-1252页

作者： Yongwang Yuan Xiangwei liu ke Lu School of Mathematics and Big Data Anhui University of Science and TechnologyHuainan232001China School of Economics and Management Anhui University of Science and TechnologyHuainan232001China The key Laboratory of Embedded System and Service Computing Ministry of Education Tongji UniversityShanghai201804China

Predictive Business Process Monitoring(PBPM)is a significant research area in Business Process Management(BPM)aimed at accurately forecasting future behavioral *** present,deep learning methods are widely cited in PBPM research,but no method has been effective in fusing data information into the control flow for multi-perspective process ***,this paper proposes a process prediction method based on the hierarchical BERT and multi-perspective data ***,the first layer BERT network learns the correlations between different category attribute ***,the attribute data is integrated into a weighted event-level feature vector and input into the second layer BERT network to learn the impact and priority relationship of each event on future predicted ***,the multi-head attention mechanism within the framework is visualized for analysis,helping to understand the decision-making logic of the framework and providing visual ***,experimental results show that the predictive accuracy of the framework surpasses the current state-of-the-art research methods and significantly enhances the predictive performance of BPM.

关键词： Business process prediction monitoring deep learning attention mechanism BERT multi-perspective