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5G green cellular networks considering power allocation schemes

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Science China(Information Sciences) 2016年第2期59卷 112-125页

作者： Xiaohu ge Jiaqi CHEN Cheng-Xiang WANG John THOMPSON Jing ZHANG School of Electronics Information and Communications Huazhong University of Science and Technology Joint Research Institute for Signal and Image Processing School of Engineering & Physical SciencesHeriot-Watt University

It is important to assess the effect of transmit power allocation schemes on the energy consumption on random cellular networks. The energy efficiency of 5G green cellular networks with average and water-filling power allocation schemes is studied in this paper. Based on the proposed interference and achievable rate model,an energy efficiency model is proposed for MIMO random cellular networks. Furthermore, the energy efficiency with average and water-filling power allocation schemes are presented, respectively. Numerical results indicate that the maximum limits of energy efficiency are always there for MIMO random cellular networks with different intensity ratios of mobile stations(MSs) to base stations(BSs) and channel conditions. Compared with the average power allocation scheme, the water-filling scheme is shown to improve the energy efficiency of MIMO random cellular networks when channel state information(CSI) is attainable for both transmitters and receivers.

关键词： energy efficiency cellular networks MIMO achievable rate model power allocation scheme

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电致变色材料功能化设计及应用研究进展

稀有金属材料与工程 2024年第5期53卷 1503-1516页

作者：胡灵杰汪刘应刘顾王龙葛超群许可俊王伟超王文豪火箭军工程大学智剑实验室陕西西安710025

电致变色材料能够在外加电场作用下稳定可逆地改变其光学性质,在节能窗、智能显示和军事伪装防护等领域具有重要的应用前景。通过多组分协同的方法,能够将更多功能或新特征集成到电致变色器件中,使其朝着多功能一体化方向发展,从而进一... 详细信息

电致变色材料能够在外加电场作用下稳定可逆地改变其光学性质,在节能窗、智能显示和军事伪装防护等领域具有重要的应用前景。通过多组分协同的方法,能够将更多功能或新特征集成到电致变色器件中,使其朝着多功能一体化方向发展,从而进一步拓宽其应用领域。本文详细梳理了近十年来电致变色器件功能化设计的最新研究成果,探讨了功能化器件的集成模式、工作机理和设计策略,阐述了其在智能窗、储能器、传感器和军事伪装方面的应用前景,详细分析了功能化电致变色器件目前存在的关键问题和面临的重大挑战,并提出了新的解决思路和发展方向,对指导电致变色器件功能化的研究具有重要意义。

关键词：电致变色材料功能化设计应用研究进展

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

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Frontiers of Computer Science 2016年第1期10卷 96-112页

作者： Yi ZHENG QiLIU Enhong CHEN Yong ge J. Leon ZHAO School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Department of Computer Science University of North Carolina at Charlotte Charlotte 28223 USA Department of Information Systems City University of Hong Kong Hong Kong China

Time series classification is related to many dif- ferent domains, such as health informatics, finance, and bioinformatics. Due to its broad applications, researchers have developed many algorithms for this kind of tasks, e.g., multivariate time series classification. Among the classifi- cation algorithms, k-nearest neighbor （k-NN） classification （particularly 1-NN） combined with dynamic time warping （DTW） achieves the state of the art performance. The defi- ciency is that when the data set grows large, the time con- sumption of 1-NN with DTW will be very expensive. In con- trast to 1-NN with DTW, it is more efficient but less ef- fective for feature-based classification methods since their performance usually depends on the quality of hand-crafted features. In this paper, we aim to improve the performance of traditional feature-based approaches through the feature learning techniques. Specifically, we propose a novel deep learning framework, multi-channels deep convolutional neu- ral networks （MC-DCNN）, for multivariate time series classi- fication. This model first learns features from individual uni- variate time series in each channel, and combines information from all channels as feature representation at the final layer. Then, the learnt features are applied into a multilayer percep- tron （MLP） for classification. Finally, the extensive experi- ments on real-world data sets show that our model is not only more efficient than the state of the art but also competitive in accuracy. This study implies that feature learning is worth to be investigated for the problem of time series classification.

关键词： convolutional neural networks time series clas-sification feature learning deep learning

Isothermal forging process design for spray-formed FGH95 superalloy turbine disk based on numerical simulation

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Rare Metals 2013年第4期32卷 347-353页

作者： Biao Guo Chuan-Sui Sun Sui-Cai Zhang Chang-Chun ge School of Materials Science and Engineering Southwest Jiaotong University School of Materials Science and Engineering Institute of Special Ceramics and Powder Metallurgy University of Science and Technology Beijing

Based on the experimental data from hot compression tests on Gleeble 1500 thermal simulator, the revised constitutive equations of spray-formed FGH95 superalloy considering the effect of strain on the material constants were established. The average absolute relative error （AARE） was employed to verify the validity of the constitutive equation, and the value of AARE is 3.85 %. Subsequently, the revised constitutive equations were successfully used to simulate and analyze the deformation behavior, stress distribution, forming loads and temperature distribution in both dies and billet during the isothermal forging process of turbine disk of large dimension （about 400 mm in diameter） by the means of finite element method （FEM）. Moreover, the optimum process parameters are 1,120 ℃ of forging temperature and 0.01 s^-1 of strain rate for the spray-formed FGH95 superalloy turbine disk.

关键词： Spray-formed FGH95 superalloy Constitutive equation Finite element simulation Isothermal forging

Expansive Behaviours for Homeomorphisms of tvs-Cone Metric Spaces

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Journal of Mathematical Research with Applications 2016年第3期36卷 363-368页

作者： Xun ge School of Mathematical Sciences Soochow University

Let f be a homeomorphism of a compact tvs-cone metric space. In this paper,we show that f is tvs-cone expansive if and only if f has a generator. Further, it is proved that if f is tvs-cone expansive, then the set of points having converging semiorbits under f is a countable set. Results of this paper improve some expansive homeomorphisms theorems in topological dynamics, which will help to research dynamical properties for homeomorphisms of tvs-cone metric spaces.

关键词： tvs-cone metric space tvs-cone expansive homeomorphism generator converging semiorbit

基于自动化提取HCV RNA荧光定量检测系统的性能验证

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广东医科大学学报 2024年第1期42卷 73-77页

作者：邓波何彪廖亚龙黄革高州市人民医院检验科广东高州525200 南方医科大学附属广东省人民医院(广东省医学科学院)检验科广东广州510000

目的基于Stream SP96全自动核酸提取仪、ABI7500实时荧光定量PCR仪对丙型肝炎病毒(HCV)RNA定量检测系统的性能指标进行验证。方法依据《临床实验室对商品定量试剂盒分析性能的验证》WS/T 420-2013性能验证方案,采用Stream SP96全自动... 详细信息

目的基于Stream SP96全自动核酸提取仪、ABI7500实时荧光定量PCR仪对丙型肝炎病毒(HCV)RNA定量检测系统的性能指标进行验证。方法依据《临床实验室对商品定量试剂盒分析性能的验证》WS/T 420-2013性能验证方案,采用Stream SP96全自动核酸提取平台及ABI7500荧光定量PCR仪检测HCV RNA,对其准确度、精密度、线性区间、检测限、定量限和抗干扰能力等进行方法学性能验证。结果低、高浓度标准物质的均值与靶值的误差分别为0.20和0.25,均小于靶值对数值±0.4 log;低浓度样本的批内、批间不精密度变异系数值分别为0.79%、1.01%,高浓度样本的批内、批间不精密度变异系数值分别为0.52%、1.22%,均0.980,线性区间可达20~1.0×10^(8),呈良好线性(R^(2)=0.997 3);检出限为20 IU/mL,最低定量限为50 IU/mL;含胆红素(300 mg/L)、血红蛋白(300 g/L)、甘油三酯(3 000 mg/L)的干扰物质对样本检测结果无影响。结论 HCV RNA实时荧光PCR定量法检测系统准确度、精密度、线性范围、检出限、定量限、抗干扰能力均符合厂家声明,能够满足临床对HCV RNA定量检测的需求。

关键词： HCV RNA 荧光法性能验证

基于CiteSpace可视化分析葡萄酒产地溯源研究现状

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食品与发酵工业 2024年第18期50卷 332-339页

作者：马海燕李彩虹葛谦开建荣张静闫玥苏龙宁夏职业技术学院宁夏银川750021 宁夏农产品质量标准与检测技术研究所/宁夏回族自治区农产品质量标准研究与评价重点实验室宁夏银川750002 酩悦轩尼诗夏桐(宁夏)酒庄有限公司宁夏银川751600

基于Wed of Science(WOS)和中国知网(CNKI)中1990—2023年数据库,采用文献计量学方法对有关酿酒葡萄及葡萄酒产地溯源的相关文献进行可视化分析。结果显示,研究葡萄酒产地溯源领域的国家主要有意大利225篇、西班牙209篇、法国148篇,国际... 详细信息

基于Wed of Science(WOS)和中国知网(CNKI)中1990—2023年数据库,采用文献计量学方法对有关酿酒葡萄及葡萄酒产地溯源的相关文献进行可视化分析。结果显示,研究葡萄酒产地溯源领域的国家主要有意大利225篇、西班牙209篇、法国148篇,国际上French National Research Institute for Agriculture,Food,and the Environment(INRAE)是目前葡萄酒溯源领域内的核心单位。国内机构的发文量均较少,且机构间合作较少。研究热点主要聚焦于“葡萄酒”、“模式识别”、“同位素”、“溯源”等关键词,目前葡萄酒通过矿物元素、品种、电子舌、指纹图谱、同位素、理化指标等更为丰富的指标进行产地鉴别。

关键词：葡萄酒产地溯源文献计量学 CiteSpace

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Tightened1D/3Dcarbonheterostructure infiltratingphase change materials for solar-thermoelectric energy harvesting:Faster and better

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Carbon Energy 2023年第6期5卷 104-117页

作者： Zhaodi Tang Piao Cheng Panpan Liu Yan Gao Xiao Chen ge Wang beijing Advanced Innovation Center for Materials genome Engineering Beijing Key Laboratory of Function Materials for Molecule&Structure ConstructionSchool of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijingPR China Institute of Advanced Materials Beijing Normal UniversityBeijingPR China Aerospace Institute of Advanced Material and Processing Technology BeijingPR China Shunde Graduate School University of Science and Technology BeijingShundePR China

Extensive use of thermal energy in daily life is ideal for reducing carbon emissions to achieve carbon neutrality;however,the effective collection of thermal energy is a major ***(TE)conversion technology based on the Seebeck effect and thermal energy storage technology based on phase change materials(PCMs)represent smart,feasible,and research-worthy approaches to overcome this ***,the integration of multiple thermal energy sources freely existing in the environment for storage and output of thermal and electrical energy simultaneously still remains a huge ***,three-dimensional(3D)nanostructured metal-organic frameworks(MOFs)are in situ nucleated and grown onto carbon nanotubes(CNTs)via coordination *** calcination,the prepared core-shell structural CNTs@MOFs are transformed into tightened 1D/3D carbon heterostructure loading Co nanoparticles for efficient solar-thermoelectric energy ***,the corresponding composite PCMs show a record-breaking solar-thermal conversion efficiency of 98.1%due to the tightened carbon heterostructure and the local surface plasmon resonance effect of Co ***,our designed all-in-one composite PCMs are also capable of creating an electrical potential of 0.5 mV based on the Seebeck effect without a TE *** promising approach can store thermal and electrical energy simultaneously,providing a new direction in the design of advanced all-in-one multifunctional PCMs for thermal energy storage and utilization.

关键词： carbon neutrality metal-organic framework phase change materials solar-thermoelectric conversion thermal energy storage

Atrial fibrillation burden and the risk of stroke:A systematic review and dose-response meta-analysis

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World Journal of Clinical Cases 2022年第3期10卷 939-953页

作者： Sheng-Yi Yang Min Huang Ai-Lian Wang ge ge Mi Ma Hong Zhi Li-Na Wang Department of Epidemiology and Biostatistics Southeast UniversityNanjing 210009Jiangsu ProvinceChina Yaohua Community Healthcare Center Nanjing 210046Jiangsu ProvinceChina Department of Cardiology Zhongda HospitalNanjing 210009Jiangsu ProvinceChina School of Public Health Southeast UniversityNanjing 210009Jiangsu ProvinceChina

BACKGROUND The increased stroke risk associated with atrial fibrillation(AF)burden exceeding 5 min is a matter of *** addition,the potential linear or nonlinear relationship between AF burden and stroke risk has been largely *** To determine the association between AF burden>5 min and the increased risk of stroke and explore the potential dose-response relationship between these two *** Sixteen studies from six databases with 53141 subjects(mean age 65 years)were *** studies were observational studies,and one was a randomized controlled trial *** potential nonlinear dose-response association was characterized using a restricted cubic splines regression *** burden for each 1 h and 2 h was associated with an increased risk of *** sequential analysis with a random-effect model was used to evaluate the robustness of the evidence from the included 16 *** AF burden>5 min was associated with an increased risk of clinical AF[adjusted risk ratio(RR)=4.18,95%confidence interval(CI):2.26-7.74].However,no association was found with an increased risk of all-cause mortality(adjusted RR=1.55,95%CI:0.87-2.75).Patients with AF burden>5 min had an increased risk of stroke(adjusted RR=2.49,95%CI:1.79-3.47).Moreover,a dose-response analysis showed that the increased stroke risk was paralleled by an increase in AF burden at a rate of 2.0%per hour(Pnonlinear=0.656,RR=1.02,95%CI:1.01-1.03).Trial sequential analysis provided robust evidence of the association between AF burden>5 min and an increased risk of *** AF burden was a significant risk factor for clinical AF and future stroke.A significant linear association was documented between increased AF burden and risk of future stroke.

关键词： Atrial fibrillation Stroke Dose-response Meta-analysis Risk