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Sensor Scheduling Based on Predicion

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Sensor Scheduling Based on Predicion

RepDDNet:a fast and accurate deforestation detection model with high-resolution remote sensing image

第26届中国控制与决策会议

作者： yan dongmei School of Control Engineering Northeastern University at Qinhuangdao

ISBN: (纸本)9781479937066

Aiming at the construction and reconstruction of dynamic cluster for target tracking with wireless sensor network, a sensor Scheduling target tracking-oriented algorithm based on prediction is proposed in this thesis, in which construction and reconstruction of dynamic cluster depends on prediction of nodes’ location. Selection of cluster head is achieved by weighted algorithm considering residual energy and geographic position or other parameters. The extended kalman filter is utilized to predict the trajectories of target in this paper and accuracy of target tracking is improved by cooperation in nodes.

关键词： Sensor Scheduling Target Tracking Wireless Sensor Network Cluster Predicion

来源： cnki会议评论

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International Journal of Digital Earth 2023年第1期16卷 2013-2033页

作者： Zhipan Wang Zhongwu Wang dongmei yan Zewen Mo Hua Zhang Qingling Zhang Shenzhen Key Laboratory of Intelligent Microsatellite Constellation Sun Yat-sen UniversityShenzhenPeople’s Republic of China Land Satellite Remote Sensing Application Center Ministry of Natural ResourcesBeijingPeople’s Republic of China Aerospace Information Research Institute Chinese Academy of SciencesBeijingPeople’s Republic of China Changsha University of Science&Technology ChangshaPeople’s Republic of China

Forest is the largest carbon reservoir and carbon absorber on ***,mapping forest cover change accurately is of great significance to achieving the global carbon neutrality *** forest change information could be acquired by deep learning methods using high-resolution remote sensing ***,deforestation detection based on deep learning on a large-scale region with high-resolution images required huge computational ***,there was an urgent need for a fast and accurate deforestation detection *** this study,we proposed an interesting but effective re-parameterization deforestation detection model,named *** other existing models designed for deforestation detection,the main feature of RepDDNet was its decoupling feature,which means that it allowed the multi-branch structure in the training stages to be converted into a plain structure in the inference stage,thus the computation efficiency can be significantly improved in the inference stage while maintaining the accuracy unchanged.A large-scale experiment was carried out in Ankang city with 2-meter high-resolution remote sensing images(the total area of it was over 20,000 square kilometers),and the result indicated that the model computation efficiency could be improved by nearly 30%compared with the model without ***,compared with other lightweight models,RepDDNet also displayed a trade-off between accuracy and computation efficiency.

关键词： Carbon neutral deforestation detection high-resolution remote sensing image deep learning reparameterization

基于能源交易机制的多微电网系统优化调度方法

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供用电 2024年第6期41卷 36-46页

作者：雷振华鹿丽刘欢项楠严冬梅王洪坤张宏辽宁电力能源发展集团监理有限公司辽宁沈阳110000 石河子大学新疆维吾尔自治区石河子832003

随着新能源渗透率不断增加,微电网作为新能源与配电网之间的桥梁越来越受到关注,是未来智能电网发展的重要部分,但微电网间内部复杂的资本关系及自趋利性将会阻碍其进一步发展。首先,为规范各微电网交易行为,保障各方资本利益,提出基于... 详细信息

随着新能源渗透率不断增加,微电网作为新能源与配电网之间的桥梁越来越受到关注,是未来智能电网发展的重要部分,但微电网间内部复杂的资本关系及自趋利性将会阻碍其进一步发展。首先,为规范各微电网交易行为,保障各方资本利益,提出基于信誉积分的能源交易机制,通过信誉积分衡量各微电网诚信度,约束微电网交易行为;通过绿色交易积分促使各微电网主动降低碳排放,实现环境友好;通过信誉积分排名调动各微电网参与交易的积极性和自我约束的主动性。其次,构建基于主从博弈的“含共享储能的联盟-微电网”双层优化调度模型,上层以联盟经济性最优为目标,通过小龙虾算法求解,下层以各微电网收益最大为目标,通过CPLEX求解。最后,仿真结果表明,考虑能源交易机制后,可以有效保障和提高各方利益,优化共享储能充放电功率,充放电次数分别由24次和27次下降到14次和19次,降低了各微电网碳交易成本。

关键词：多微电网碳排放能源交易机制优化调度小龙虾算法

Intelligent fire information system based on 3D GIS

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Virtual Reality & Intelligent Hardware 2023年第2期5卷 93-109页

作者： Jinxing HU Zhihan LV Diping YUAN Bing HE dongmei yan Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Department of Game Design Faculty of ArtsUppsala UniversitySweden Jilin Unicom Communication Co. Ltd.Jilin BranchJilin 132011China

Background This work aims to build a comprehensive and effective fire emergency management system based on the Internet of Things(IoT)and achieve an actual intelligent fire rescue.A smart fire protection information system was designed based on the IoT.A detailed analysis was conducted on the problem of rescue vehicle scheduling and the evacuation of trapped persons in the process of fire *** The intelligent fire visualization platform based on the three-dimensional(3D)Geographic Information Science(GIS)covers project overview,equipment status,equipment classification,equipment alarm information,alarm classification,alarm statistics,equipment account information,and other *** live video accessed through the visual interface can clearly identify the stage of the fire,which facilitates the arrangement of rescue equipment and *** vehicle scheduling model in the system primarily used two objective functions to solve the Pareto Non-Dominated Solution Set Optimization:emergency rescue time and the number of *** addition,an evacuation path optimization method based on the Improved Ant Colony(IAC)algorithm was designed to realize the dynamic optimization of building fire evacuation *** The experimental results indicate that all the values of detection signals were significantly larger in the smoldering fire scene at t=17s than the initial *** addition,the probability of smoldering fire and the probability of open fire were relatively large according to the probability function of the corresponding fire situation,demonstrating that this model could detect *** The IAC algorithm reported here avoided the passages near the fire and spreading areas as much as possible and took the safety of the trapped persons as the premise when planning the evacuation ***,the IoT-based fire information system has important value for ensuring fire safety and carrying out emergency rescue and is worthy of popularization

关键词： Smart fire protection information system Internet of things Rescue vehicle scheduling Optimal evacuation routes

四川省2019-2022年环境污水脊髓灰质炎病毒监测

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中国疫苗和免疫 2024年第3期30卷 293-297页

作者：马小珍祝双利王成严冬梅李晓嫘陈娜丁颖朱晖张勇四川省疾病预防控制中心四川成都610041 中国疾病预防控制中心北京102206

目的评估四川省环境污水脊髓灰质炎(脊灰)病毒现状和传播风险。方法2019年8月-2022年12月在四川省6个监测点采集环境污水样本,进行脊灰病毒分离和鉴定。结果共采集环境污水样本90份,分离到脊灰病毒105株、非脊灰肠道病毒160株。所有脊... 详细信息

目的评估四川省环境污水脊髓灰质炎(脊灰)病毒现状和传播风险。方法2019年8月-2022年12月在四川省6个监测点采集环境污水样本,进行脊灰病毒分离和鉴定。结果共采集环境污水样本90份,分离到脊灰病毒105株、非脊灰肠道病毒160株。所有脊灰病毒分离株均鉴定为脊灰疫苗相似株,其中Ⅰ型、Ⅱ型、Ⅲ型、Ⅰ+Ⅲ型PV分别占18.10%(19株)、0.00%(0株)、81株(77.14%)、5株(4.76%)。结论监测地区环境污水未发现脊灰野病毒或疫苗衍生脊灰病毒,监测结果为四川省继续维持无脊灰状态提供了补充证据。

关键词：脊灰病毒肠道病毒环境污水监测

Synthesis, Antiproliferative Activity and DNA-Binding Properties of Nitrogen and Sulfur Heterocyclic Norcantharidin Acylamide Acid

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Chinese Journal of Chemistry 2011年第3期29卷 473-477页

作者： Wang, Na Wang, Yunyun Wang, Xiaoxia Zheng, Xiaoliang yan, dongmei Lin, Qiuyue College of Chemical and Life Science Zhejiang Normal University Jinhua Zhejiang 321004 China Zhejiang Key Laboratory for Reactive Chemistry on Solid Surfaces Zhejiang Normal University Jinhua Zhejiang 321004 China Institute ofMateria Medica of Zhejiang Academy of Medical Sciences Hangzhou Zhejiang 310013 China

Three novel norcantharidin acylamide acids （L1 =N-thiadiazole norcantharidin acylamide acid, CIoHIlN304S; L2=N-thiazole norcantharidin acylamide acid, CjIHI2N204S and L3=N-benzothiazole norcantharidin acylamide acid, C15H14N204S） were synthesized by the reactions of norcantharidin （NCTD=7-oxabicyclo[2,2,1 ]heptane-2,3- dicarboxylic acid anhydride, C8H8O4） with 2-amino-1,3,4-thiadiazole （C2H3N3S）, 2-aminothiazole （C3H4N2S） and 2-aminobenzothiazole （C7H6N2S）, respectively. Their structures were characterized by elemental analysis, IR, and NMR. The inhibition rates of L3 was much higher than those of Lj and L2 against human hepatoma cells SMMC7721 cell lines in vitro. The interaction between the compounds and DNA was studied by means of fluorescence quenching studies and viscosity measurements. The emission intensities decreased obviously with increasing concentration of the compounds in the fluorescence quenching experiments. The linear Stern-Volmer quenching constant Ksq values were 0.62 （Ll）, 0.55 （L2） and 1.08 （L3）, respectively. The binding abilities followed the trend from high to low were L3, L1 and L2, respectively. The results of viscosity measurements showed that L1 and L2 might bind to DNA via partial intercalation, while L3 bound mainly in intercalation.

关键词： norcantharidin DNA fluorescence spectroscopy antiproliferative activity

Classification framework and semantic labeling for Big Earth Data

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Big Earth Data 2023年第3期7卷 886-903页

作者： Juanle Wang Kun Bu dongmei yan Jingyue Wang Bowen Duan Min Zhang Guojin He State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciencesand Natural Resources ResearchChinese Academy of SciencesBeijingChina Collaborative InnovationCenter for Development and Utilization of Geographic Information Resources in Jiangsu Province NanjingChina Northeast Institute of Geography and Agroecology Chinese Academy of SciencesChangchunChina International Research Center of Big Data for Sustainable Development Goals BeijingChina Schoolof Civil and Architectural Engineering Shandong University of TechnologyZiboChina College of Resourceand Environment University of Chinese Academy of SciencesBeijingChina

Big Earth Data refers to the multidimensional integration and association of scientific data,including geography,resources,environment,ecology,and *** effective data classification system and label management strategy are important foundations for long-term management of data *** objective of this study was to construct a classification system and realize multidimensional semantic data label management for the Big Earth Data Science Engineering Program(CASEarth).This study constructed two sets of classification and coding systems that realize classification by mapping each other;namely,the geosphere-level and Sustainable Development Goals(SDGs)indicator *** technique was based on natural language processing technology and solved problems with subject-word segmentation,weight calculation,and dynamic matching.A prototype system for classification and label management was constructed based on existing CASEarth datasets of more than 1,***,we expect our study to provide the methodology and technical support for useroriented classification and label management services for Big Earth Data.

关键词： Big Earth Data CASEarth scientific engineering data classification data labeling data management

Characteristics of HIV-1 Molecular Epidemiology in Suzhou,China,from 2009 to 2014

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Virologica Sinica 2018年第2期33卷 209-212页

作者： Ying Yuan Shengjie Tang Yuan Li dongmei yan Qunxin Peng Xuerong Ya yanhui Song Department of Clinical Laboratory The First Affiliated Hospital of Soochow University Soochow University Suzhou 215031 China The Institutes of Biological and Medical Sciences Soochow University Suzhou 215123 China Basic Medical College of Jiamusi University Jiamusi University Jiamusi 154007 China Suzhou Center for Disease Control and Prevention Suzhou 215004 China

Human immunodeficiency virus（HIV）and acquired immunodeficiency syndrome（AIDS）remain major public health problems in China,where approximately 780,000people currently live with HIV,according to the 2012 China AIDS Response Progress *** was an early epidemic region in Jiangsu province and the current situation of HIV-1 prevalence is complicated.

关键词： HIV-1 中国传染病学苏州特征分子免疫不全健康问题

MnO_(2)-coated nanodiamond-driven photodynamic therapy for enhanced antitumor effect by addressing hypoxia and glutathione depletion

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Particuology 2024年第9期92卷 305-315页

作者： Jicheng Cui dongmei Zhang Hui Qiao Zeyu yan Wenxia Zhang Yingqi Li Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Molecular ScienceShanxi UniversityTaiyuan030006China Taiyuan Central Hospital Taiyuan030009China School of Chemistry and Chemical Engineering Shanxi UniversityTaiyuan030006China

The generation of reactive oxygen species(ROS)at the tumor site to induce destruction is emerging as a novel strategy for cancer treatment,which involves photodynamic therapy(PDT).Nevertheless,tumors typically create a hypoxic environment and are equipped with an endogenous antioxidant defense system that could potentially impede the efficiency of the therapeutic *** overcome these drawbacks,herein,a tumor microenvironment-responsive the ND-PAA-CD-Ce6@MnO_(2)(NPCC@M)delivery system was fabricated by disulfide bond coupling chlorin e6(Ce6)to nanodiamond(ND)and further wrapped by MnO_(2)nanosheets to facilitate *** use of disulfide bond not only stabilizes Ce6 in the blood circulation to prevent premature leakage,but also destroys the antioxidant barrier of overexpressed glutathione(GSH)in tumor ***,the outer MnO_(2)was rapidly degraded by the endogenous hydrogen peroxide(H_(2)O_(2))in the acidic pH and GSH within the tumor cells,which leads to an abundance of O_(2)and while increases the level of 1O_(2)under laser *** results eventually broke the redox homeostasis and attenuate hypoxia,thereby inducing apoptosis and necrosis of tumor *** in vitro and in vivo biological effect has revealed a good biosafety profile and a high tumor suppression *** a novel ND-based system with tumor microenvironment-modulating capability to elevate oxygen content and promote GSH consumption in tumor cells opens new opportunities for enhanced ROS treatment paradigms.

关键词： Nanodiamond Photodynamic Chlorin e6 MnO_(2) Tumor suppression