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Multispectral image fusion method based on intensity-hue-saturation and nonsubsampled three-channels non-separable wavelets

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Chinese Optics Letters 2010年第4期8卷 384-387页

作者：刘斌刘维杰彭嘉雄 school of mathematics and computer science hubei university computer school Wuhan University Institute of Image Recognition and Artificial Intelligence Huazhong University of Science and Technology

A new multispectral image fusion method based on intensity-hue-saturation（IHS） transform and threechannel non-separable wavelets whose dilation matrix is[2,1;1,1]is *** multi-resolution decompositions of the intensity of multispectral image and panchromatic image are performed in nonsubsampled mode using the three-channel non-separable wavelet filter *** approximation images and the detail images of the multi-resolution pyramids are *** experimental results show that this method has good visual *** performance outperforms the IHS fusion *** discrete wavelet transform （DWT） fusion method,and the IHS-DWT fusion method in preserving spectral quality and high spatial resolution information.

关键词： Decomposition Discrete wavelet transforms Filter banks Visual communication

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数据网格环境中数据传输服务的研究与实现

计算机应用研究 2004年第10期21卷 212-214页

作者：黄斌彭小宁肖侬刘波怀化学院计算机系湖南怀化418008 国防科学技术大学计算机学院湖南长沙410073

通过对GridFTP作部分修改,实现了独立于Globus环境的、高性能、可靠的数据网格中的数据传输服务,它具有支持基础的安全机制、并行传输、三方传输等功能。剖析了GridFTP,详细介绍了基于GridFTP数据网格环境中的数据传输服务实例。

关键词：数据网格:数据传输 GridFTP 三方传输并行传输

Patent expanded retrieval via word embedding under composite-domain perspectives

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Frontiers of computer science 2019年第5期13卷 1048-1061页

作者： Fei WANG Tieyun QIAN bin liu Zhiyong peng school of computer science Wuhan University Wuhan 430072 China State Key Lab of Software Engineering Wuhan University Wuhan 430072 China

Patent prior art search uses dispersed information to retrieve all the relevant documents with strong ambiguity from the massive patent database. This challenging task con-sists in patent reduction and patent expansion. Existing stud-ies on patent reduction ignore the relevance between techni-cal characteristics and technical domains, and result in am-biguous queries. Works on patent expansion expand terms from external resource by selecting words with similar dis-tribution or similar semantics. However, this splits the rele-vance between the distribution and semantics of the terms. Besides, common repository hardly meets the requirement of patent expansion for uncommon semantics and unusual terms. In order to solve these problems, we first present a novel composite-domain perspective model which converts the technical characteristic of a query patent to a specific composite classified domain and generates aspect queries. We then implement patent expansion with double consistency by combining distribution and semantics simultaneously. We also propose to train semantic vector spaces via word em-bedding under the specific classified domains, so as to pro-vide domain-aware expanded resource. Finally, multiple re-trieval results of the same topic are merged based on perspec-tive weight and rank in the results. Our experimental results on CLEP-IP 2010 demonstrate that our method is very effec-tive. It reaches about 5.43% improvement in recall and nearly 12.38% improvement in PRES over the state-of-the-art. Our work also achieves the best performance balance in terms of recall, MAP and PRES.

关键词： patent retrieval composite-domain perspective double-consistency expansion word embedding

Water consumption and biodiversity:Responses to global emergency events

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science Bulletin 2024年第16期69卷 2632-2646页

作者： Dandan Zhao Junguo liu Laixiang Sun Klaus Hubacek Stephan Pfister Kuishuang Feng Heran Zheng Xu peng Daoping Wang Hong Yang Lei Shen Fei Lun Xu Zhao bin Chen Marko Keskinen Shaohui Zhang Jialiang Cai Olli Varis Water&Development Research Group Department of Built EnvironmentAalto UniversityEspoo 15200Finland school of Water Conservancy North China University of Water Resources and Electric PowerZhengzhou 450046China school of Environmental science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Geographical sciences University of MarylandCollege Park 20742USA school of Finance and Management SOASUniversity of LondonLondon WC1H0XGUK Integrated Research on Energy Environment and SocietyEnergy and Sustainability Research Institute GroningenUniversity of GroningenGroningen 9747AGthe Netherlands ETH Zurich Institute of Environmental EngineeringZurich 8093Switzerland The Bartlett school of Sustainable Construction University College LondonLondon WC1E6BTUK school of Business Jiangnan UniversityWuxi 214122China Department of computer science and Technology University of CambridgeCambridge CB21TNUK w2e Environmental Consulting GmbH Duebendorf 8600Switzerland Key Laboratory for Resource Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Land science and Technology China Agricultural UniversityBeijing 100083China Institute of Blue and Green Development Shandong UniversityWeihai 264209China Fudan Tyndall Center Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China school of Economics and Management Beihang UniversityBeijing 100191China International Institute for Applied Systems Analysis Laxenburg A-2361Austria

Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2019(COVID-19)pandemic caused diverse disruptions and changes in life and work *** changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on ***,there has been a lack of holistic evaluation of these ***,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)*** framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of *** results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new *** 2020,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement ***,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on *** the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on *** study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency ***,we recommend the development o

关键词： Global emergency events Water-biodiversity causal effect COVID-19 Biodiversity MRIO-enhanced DPSIR framework Supply-chain network High-resolution water consumption dataset Supply-constrained multi-regional input-output(mixed MRIO)model

基于自编码器的疾病相关miRNAs的预测方法

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广州大学学报（自然科学版） 2024年第1期23卷 12-19页

作者：许鹏谢斌鲍振申李先彬刘文斌广州大学计算科技研究院广东广州川510006 黔南民族师范学院计算机与信息学院贵州都匀558000

MicroRNAs(miRNAs)是一类由内源基因编码的长度约为22个核苷酸的非编码单链RNA分子,它们在动植物中参与转录后基因表达调控。大量研究表明,miRNAs在包括肿瘤在内的多种复杂疾病发生、发展过程中扮演着重要的角色。因此,识别疾病相关的mi... 详细信息

MicroRNAs(miRNAs)是一类由内源基因编码的长度约为22个核苷酸的非编码单链RNA分子,它们在动植物中参与转录后基因表达调控。大量研究表明,miRNAs在包括肿瘤在内的多种复杂疾病发生、发展过程中扮演着重要的角色。因此,识别疾病相关的miRNAs对研究疾病的机理及治疗具有重要意义。鉴于湿实验验证方法存在耗时长、成本高的缺点,当前许多研究工作聚焦于开发高效计算模型,识别新的miRNA-disease关联关系。该研究提出一种基于自编码器数据驱动的模型,预测miRNA-disease关联关系。结果表明,作者预测的疾病相关miRNAs在HMDD数据库中对应的疾病相关miRNAs列表上显著富集。此外,通过对排名靠前的miRNAs分析,发现这些miRNAs具有重要的生物学功能,同时对于疾病的分类表现出较高的精度。总之,文章提出的模型,对于疾病相关miRNAs的发现具有重要的辅助作用。

关键词：自编码器 miRNA-disease关联数据驱动模型

基于MBSE的空间引力波探测系统指标管理及其探测灵敏度分析

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图学学报 2024年第2期45卷 259-267页

作者：朱伊明张玉珠陈斌彭晓东高辰刘宇唐文林强丽娥徐鹏罗子人中国科学院国家空间科学中心北京100190 中国科学院大学计算机学院北京100049 中国科学院力学研究所北京100190 国科大杭州高等研究院浙江杭州310024

为了将空间引力波探测系统论证过程中顶层指标分解与系统级性能分析过程动态关联,提供对空间科学任务全生命周期信息的管理与应用分析能力,提出了基于模型的系统工程(MBSE)的空间引力波探测系统指标管理及其探测灵敏度分析方法。通过系... 详细信息

为了将空间引力波探测系统论证过程中顶层指标分解与系统级性能分析过程动态关联,提供对空间科学任务全生命周期信息的管理与应用分析能力,提出了基于模型的系统工程(MBSE)的空间引力波探测系统指标管理及其探测灵敏度分析方法。通过系统建模语言(SysML)构建空间引力波探测系统指标参数模型,并解析模型内容,筛选和记录指标参数,最后,通过探测灵敏度这一评价空间引力波探测系统探测能力的主要标准,实现空间引力波探测系统对不同科学目标的探测性能分析。结果表明,该方法可统一管理和追溯所有指标内容,为空间引力波探测系统顶层指标论证和系统级性能评价提供了支持。

关键词： MBSE SysML 模型解析引力波探测灵敏度

A Patent Hotspot Discovery Method

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wuhan university Journal of Natural sciences 2016年第5期21卷 369-375页

作者： FENG Ling liu bin peng Zhiyong school of computer Wuhan University

Due to the importance of patent, many studies have been done in patent analysis. However, the problem of finding the hotspots of competitors is seldom considered. Although there exist some hotspot discovery methods in Micro-blog and online public opinion, it is difficult to be directly applied because of the particularity of the patent text. In this paper, we proposed a text-clustering-based patent hotspot discovery method to find the hotspots of competitors. We first measure the similarity between patents by both semantic association and IPC association. After that, we use a hierarchical clustering algorithm to find the research topics and name for them. Then, we calculate the hotness of the technical phrases in order to find the hotspots. Finally, we use a case study of Huawei company to show the effectiveness of the proposed method.

关键词： hotspot discovery patent clustering

In silico Detection of Novel MicroRNAs Genes in Soybean Genome

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Agricultural sciences in china 2011年第9期10卷 1336-1345页

作者： liu Yong-xin CHANG Wei HAN Ying-peng ZOU Quan GUO Mao-zu LI Wen-bin Key Laboratory of Soybean Biology Chinese Ministry of Education/Soybean Research Institute Northeast AgricUltural University Harbin 150030 P.R.China school of Information science and Technology Xiamen University Xiamen 361005 P.R. China Department of computer science and Technology Harbin Institute of Technology Harbin 150001 P.R.China

The importance of microRNAs （miRNAs） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In this study, the simple and most effective method of comparative genomic approach was used. First known plants miRNAs BLAST against the soybean genome, and then the located candidates were searched for novel miRNAs by RNA folding method in the vicinity （±400 nt） of the candidates. The results showed that a total of 521 novel soybean miRNA genes, including 236 mature miRNAs, were identified. All these mature miRNAs were grouped into 58 families, of which 21 of them were novel family in soybean. The upstream 2 000 nt of potential pre-miRNAs was used for promoter prediction, in order to investigate prediction of miRNAs and detect transcript unit and clustering. In this study, rniRNA genes less tend to be present as clusters in soybean. Only 9 clusters, containing 2l miRNA genes （accounted for 4.0% of the total）, were observed as part of polycistronic transcripts. Detailed analysis of sequence characteristics of novel miRNAs in soybean and all previous known plants miRNAs, were carried out. These results of this study provide a reference point for further study on miRNAs identification in plants, and improve the understanding of genome in soybean.

关键词： soybean genome microRNA in sillico comparative genomic approach promoters prediction cluster

Genomic Analysis of MicroRNA Promoters and Their Cis-Acting Elements in Soybean

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Agricultural sciences in china 2010年第11期9卷 1561-1570页

作者： liu Yong-xin HAN Ying-peng CHANG Wei ZOU Quan GUO Mao-zu LI Wen-bin Key Laboratory of Soybean Biology Ministry of Education~Soybean Research Institute Northeast Agricultural University Harbin 150030 P.R.China school of lnformation science and Technology Xiamen University Xiamen 361005 P.R.China Department of computer science and Technology Harbin Institute of Technology Harbin 150001 P.R.China

MicroRNAs （miRNAs） are derived from distinct loci in the genome and play crucial roles in RNA-mediated gene silencing mechanisms that regulate cellular processes during development and stress responses of plants. The miRNAs are approximately 21 nucleotides long and code for the complementary strand to a larger genic mRNA. They are often found within the complementary primary transcript （pri-miRNAs）. In the past few years, a growing number of soybean miRNAs have been discovered, however, little is known about the transcriptional regulation of these miRNAs. In this study, promoters and cis-acting elements of soybean miRNAs were analyzed using the genomic data for the first time. A total of 82 miRNAs were located among 122 loci in genome, some were present as double or multiple copies. Five clusters that included ten miRNAs were found in genome, and only one cluster share the same promoter. A total of 191 promoters from 122 loci of the soybean miRNA sequences were found and further analyzed. The results indicated that the conserved soybean miRNA genes had a greater proportion of promoters than that of non-conserved ones, and the distribution of the transcript start sites （TSSs） and TATA-boxes found had different motif styles between conserved and non-conserved miRNA genes. Furthermore, the cis-acting elements 5＇ of the TSSs were analyzed to obtain potential function and spatiotemporal expression pattern of miRNAs. The data obtained here may lead to the identification of specific sequences upstream of pre-miRNAs and the functional annotation of miRNAs in soybean.

关键词： miRNAs soybean promoter cis-acting elements miRNA clusters