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Journal of Coal Science & Engineering(China) 2010年第1期16卷 108-112页

作者： BIN Guang-fu LI Xue-jun BALBIR S Dhillon HUANG Zhen-yu GUO Deng-ta Key lab of Health Maintenance for Mechanical Equipment of Hunan Province Hunan University of Science and Technology Xiangtan 411201 China Department of Mechanical Eng. Univ/Ottawa Ottawa K1B 6N5 Canada Xiangtan Liangchuan Coal Mine Machine Co. Ltd. Xiangtan 411104 China Xiangtan Electric Manufacturing Corporation Ltd. Xiangtan 411101 China

An integrated monitoring system for running parameters of key mining equipmenton the basis of condition monitoring technology and modern communication networktechnology was *** system consists of a client computer with functions ofsignal acquisition and processing, and a host computer in the central control *** acquisition module of the client computer can collect the running parameters fromvarious monitoring terminals in *** DSP high-speed data processing system ofthe main control module can quickly achieve the numerical calculation for the *** signal modulation and signal demodulation are completed by the frequencyshift keying circuit and phase-locked loop frequency circuit, ***, the signalis sent to the host computer for logic estimation and diagnostic analysis using the networkcommunication technology, which is helpful for technicians and managers to control therunning state of equipment.

关键词：综合监测系统状态监测技术运行参数关键参数采矿设备基础计算机采集通信网络技术

Robust three dimensional surface contouring method with digital holography

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Optoelectronics Letters 2006年第6期2卷 468-470页

作者： YUAN Cao-jin ZHAI Hong-chen WANG Xiao-lei and WU Lan Institute of Modern Optics Key Laboratory of Optoelectronic Information Science ＆ Technology Ministry of Education of ChinaNankai University Tianjin 300071 China Optical Engineering Department State Key Lab of Modem Optical Instrumentations Zhejiang University Hangzhou 310027 China

In this paper,a digital holography system with short-coherence light source is used to record a series of holograms of a *** three dimensional reconstruction is completed by the least-square-polynomial-fitting with a series of two dimensional intensity images which are obtained through holographic *** three dimensional reconstruction method can be used to carry out three-dimensional reconstruction of a micro-object with strong laser speckle noise,which can not be obtained from the conventional method.

关键词：数字全息术全息光学短相干性光源全息图

从空间认知到虚拟再现:数字化党史地图的实践探索

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华中建筑 2023年第5期41卷 1-5页

作者：李煜冯昊徐跃家刘平浩陈奕彤北京建筑大学未来建筑技术学院北建大-品览人工智能设计实验室AI Design lab 北京建筑大学建筑与城市规划学院

数字时代,如何借助新兴技术完成地理图示绘制以满足人类社会不断涌现的空间认知需求已经成为建成环境领域的重要命题。《数字化党史地图》项目基于地图与空间认知理论,从内容选题、数据搜集、模型制作、呈现表达四个方面进行创新性探索... 详细信息

数字时代,如何借助新兴技术完成地理图示绘制以满足人类社会不断涌现的空间认知需求已经成为建成环境领域的重要命题。《数字化党史地图》项目基于地图与空间认知理论,从内容选题、数据搜集、模型制作、呈现表达四个方面进行创新性探索;以城市红色空间为主题,基于三维扫描、数字孪生、虚拟现实等技术构建了面向数字时代人本尺度城市空间认知需求的地理图示实践框架,为城市空间认知研究提供了新的思路。

关键词：数字技术空间认知地图红色空间

On-Demand Post-Disaster Emergency Shelters

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Journal of Civil Engineering and Architecture 2014年第11期8卷 1380-1388页

作者： Mahasti Tafahomi Research lab *** Delft 2611 NK the Netherlands

In post-disaster emergency shelter aid, various relief agencies and other actors with different backgrounds need to cooperate in a tremendously short amount of time and under very different circumstances. In this article, we describe a research project that develops and tests a new approach in which the demands for shelters in a specific situation are methodically connected with available, innovative and sustainable shelter solutions, a DSS (decision support system). The DSS is a digital tool that translates the gathered evidence on needs, solutions and location including long-term effects of shelter provision into advice for the provision of sustainable, integral broader shelter solutions and designs. The outcome is a set of characteristics for a DSS for the provision of on-demand emergency shelters. A DSS that meets these characteristics leads to the provision of sustainable shelters that meet the needs of the users and, therefore, have higher performance in long term.

关键词：应急避难场所灾后点播决策支持系统 DSS 长期性能庇护所避难所

体外人源三维肠道器官模型在微生物通讯中的研究进展

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Science Bulletin 2023年第13期68卷 1353-1358页

作者：王慧尤晓颜赵国屏 Master lab for Innovative Application of Nature Products National Center of Technology Innovation for Synthetic BiologyTianjin Institute of Industrial BiotechnologyChinese Academy of Sciences(CAS)Tianjin 300308China Henan Engineering Research Center of Food Microbiology College of Food and BioengineeringHenan University of Science and TechnologyLuoyang 471023China CAS-Key laboratory of Synthetic Biology CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and EcologyChinese Academy of SciencesShanghai 200032China Engineering laboratory for Nutrition Shanghai Institute of Nutrition and HealthChinese Academy of SciencesShanghai 200031China CAS Key laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

The human gut is inhabited by numerous and diverse microbial communities,forming a complex and dynamic ecosystem that regulates digestion,absorption,metabolism,and ***,host-microbe interactions are complex and not well understood due to the difficulty of accessing some sections of the intestinal tract in *** divergence in interspecies and intestinal microbial composition between animal models and humans as well as the difficulty in inferring causation from metagenomic sequencing have promoted the development of the human-relevant in vitro ecosystem of the gut-microbiota communication.

关键词： metabolism difficulty ecosystem

Learning-based Data Analytics:Moving Towards Transparent Power Grids

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CSEE Journal of Power and Energy Systems 2018年第1期4卷 67-82页

作者： Kunjin Chen Ziyu He Shan X.Wang Jun Hu Licheng Li Jinliang He State Key lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China the Department of Industrial and Systems Engineering University of Southern CaliforniaLos AngelesCA 90007USA the Center for Magnetic Nanotechnology Stanford UniversityStanfordCA 94305 USAand also with the State Key Laboratory of Power SystemsDepartment of Electrical EngineeringTsinghua UniversityBeijing 100084China e Graduate School at Shenzhen Tsinghua UniversityShenzhen 518055Chinaand China Southern Power GridGuangzhou 510623China

this paper,we present the learning-based data analytics moving towards transparent power grids and provide some possible extensions including machine learning,big data analytics,and knowledge *** closed loops of data and knowledge are illustrated and the challenges for establishing the closed loops are *** ideas and recent developments in supervised learning,unsupervised learning,and reinforcement learning are presented together with extensions for power system ***,much emphasis is placed on privacypreserving data analysis,transfer of knowledge,machine learning for causal inference,scalability and flexibility of data analytics,and efficiency and reliability of *** integrated solutions in the industry featuring the Industrial Internet and the digital grid are also introduced.

关键词： Data analytics machine learning smart grid transparent power grid

Internet of Things to network smart devices for ecosystem monitoring

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Science Bulletin 2019年第17期64卷 1234-1245页

作者： Xin Li Ning Zhao Rui Jin Shaomin Liu Xiaomin Sun Xuefa Wen Dongxiu Wu Yan Zhou Jianwen Guo Shiping Chen Ziwei Xu Mingguo Ma Tianming Wang Yonghua Qu Xinwei Wang Fangming Wu Yuke Zhou Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China State Key laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing 100875 China State Key laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy o f Sciences Beijing 100101 China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy o f Sciences Beijing 100101 China Key laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China State Key laboratory of Earth Surface Processes and Resource Ecology Faculty o f Geographical Science Beijing Normal University Beijing 100875 China Key laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State Key laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing 100093 China Optoelectronics System laboratory Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China Research Base of Karst Eco-environments at Nanchuan in Chongqing Ministry of Nature Resources School of Geographical Sciences Southwest University Chongqing 400715 China Ministry of Education Key laboratory for Biodiversity Science and Engineering Monitoring and Research Center for Amur Tigers and Amur Leopards National Forestry and Grassland Administration & College of Life Sciences Beijing Normal University Beijing 100875 China

Smart, real-time, low-cost, and distributed ecosystem monitoring is essential for understanding and managing rapidly changing ecosystems. However, new techniques in the big data era have rarely been introduced into operational ecosystem monitoring, particularly for fragile ecosystems in remote *** introduce the Internet of Things(IoT) techniques to establish a prototype ecosystem monitoring system by developing innovative smart devices and using IoT technologies for ecosystem monitoring in isolated environments. The developed smart devices include four categories: large-scale and nonintrusive instruments to measure evapotranspiration and soil moisture, in situ observing systems for CO2 and d13 C associated with soil respiration, portable and distributed devices for monitoring vegetation variables, and Bi-CMOS cameras and pressure trigger sensors for terrestrial vertebrate monitoring. These new devices outperform conventional devices and are connected to each other via wireless communication networks. The breakthroughs in the ecosystem monitoring IoT include new data loggers and longdistance wireless sensor network technology that supports the rapid transmission of data from devices to wireless networks. The applicability of this ecosystem monitoring IoT is verified in three fragile ecosystems, including a karst rocky desertification area, the National Park for Amur Tigers, and the oasis-desert ecotone in China. By integrating these devices and technologies with an ecosystem monitoring information system, a seamless data acquisition, transmission, processing, and application IoT is created. The establishment of this ecosystem monitoring IoT will serve as a new paradigm for ecosystem monitoring and therefore provide a platform for ecosystem management and decision making in the era of big data.

关键词： Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device

Relationship between the levels of lipid metabolism and coronary atherosclerotic lesions

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China Medical Abstracts(Internal Medicine) 2021年第2期38卷 93-93页

作者：郭明秋 Clin lab Qingdao Municipal HospQingdao 266200

Objective To explore the relationship between the levels of lipid metabolism and coronary *** The data of 182 patients with suspected coronary atherosclerotic lesions were retrospectively *** patients underwent coronary digital subtraction angiography(DSA),and those with coronary atherosclerotic lesions were recorded as the study group,otherwise as the control group.

关键词： metabolism coronary lesions

Performance analysis and comparison of PoW,PoS and DAG based blockchains

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digital communications and Networks 2020年第4期6卷 480-485页

作者： Bin Cao Zhenghui Zhang Daquan Feng Shengli Zhang Lei Zhang Mugen Peng Yun Li The State Key laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China The State Key laboratory of Integrated Services Networks(Xidian University) Xian710000China School of communications and Information Engineering and Chongqing Key lab of Mobile communications Technology Chongqing University of Posts and TelecommunicationsChongqing400065China The Guangdong Key laboratory of Intelligent Information Processing College of Electronic and Information EngineeringShenzhen UniversityShenzhen518060China College of Information Engineering Shenzhen UniversityShenzhen518060China School of Engineering University of GlasgowGlasgowG128QQUK

In the blockchain,the consensus mechanism plays a key role in maintaining the security and legitimation of contents recorded in the *** blockchain consensus mechanisms have been ***,there is no technical analysis and comparison as a guideline to determine which type of consensus mechanism should be adopted in a specific scenario/*** this end,this work investigates three mainstream consensus mechanisms in the blockchain,namely,Proof of Work(PoW),Proof of Stake(PoS),and Direct Acyclic Graph(DAG),and identifies their performances in terms of the average time to generate a new block,the confirmation delay,the Transaction Per Second(TPS)and the confirmation failure *** results show that the consensus process is affected by both network resource(computation power/coin age,buffer size)and network load *** addition,it shows that PoW and PoS are more sensitive to the change of network resource while DAG is more sensitive to network load conditions.

关键词： Blockchain Proof of work Proof of stake Direct acyclic graph Performance comparison