Data

摘要： Real-time prediction of the rock mass class in front of the tunnel face is essential for the adaptive adjustment of tunnel boring machines(TBMs).During the TBM tunnelling process,a large number of operation data are generated,reflecting the interaction between the TBM system and surrounding rock,and these data can be used to evaluate the rock mass quality.This study proposed a stacking ensemble classifier for the real-time prediction of the rock mass classification using TBM operation data.Based on the Songhua River water conveyance project,a total of 7538 TBM tunnelling cycles and the corresponding rock mass classes are obtained after data preprocessing.Then,through the tree-based feature selection method,10 key TBM operation parameters are selected,and the mean values of the 10 selected features in the stable phase after removing outliers are calculated as the inputs of classifiers.The preprocessed data are randomly divided into the training set(90%)and test set(10%)using simple random sampling.Besides stacking ensemble classifier,seven individual classifiers are established as the comparison.These classifiers include support vector machine(SVM),k-nearest neighbors(KNN),random forest(RF),gradient boosting decision tree(GBDT),decision tree(DT),logistic regression(LR)and multilayer perceptron(MLP),where the hyper-parameters of each classifier are optimised using the grid search method.The prediction results show that the stacking ensemble classifier has a better performance than individual classifiers,and it shows a more powerful learning and generalisation ability for small and imbalanced samples.Additionally,a relative balance training set is obtained by the synthetic minority oversampling technique(SMOTE),and the influence of sample imbalance on the prediction performance is discussed.

摘要： 本文说明了在滚动式内部审核中,不符合项数据对于评价组织体系运行情况和促进质量管理体系改进的关键作用 O并以某装备制造企业为实例,简要介绍了组织通过滚动式内部审核的不符合项进行数据分析和利用,识别组织质量管理体系存在的薄弱环节和风险,促进质量管理体系改进提升和有效保持的具体实现方法。

摘要： Recent years have witnessed the proliferation of Internet of Things(IoT),in which billions of devices are connected to the Internet,generating an overwhelming amount of data.It is challenging and infeasible to transfer and process trillions and zillions of bytes using the current cloud-device architecture.

摘要： According to various worldwide statistics,most car accidents occur solely due to human error.The person driving a car needs to be alert,especially when travelling through high traffic volumes that permit high-speed transit since a slight distraction can cause a fatal accident.Even though semiautomated checks,such as speed detecting cameras and speed barriers,are deployed,controlling human errors is an arduous task.The key causes of driver’s distraction include drunken driving,conversing with co-passengers,fatigue,and operating gadgets while driving.If these distractions are accurately predicted,the drivers can be alerted through an alarm system.Further,this research develops a deep convolutional neural network(deep CNN)models for predicting the reason behind the driver’s distraction.The deep CNN models are trained using numerous images of distracted drivers.The performance of deep CNN models,namely the VGG16,ResNet,and Xception network,is assessed based on the evaluation metrics,such as the precision score,the recall/sensitivity score,the F1 score,and the specificity score.The ResNet model outperformed all other models as the best detection model for predicting and accurately determining the drivers’activities.

摘要： Objective:To analyze the registration information of Corona Virus Disease 2019(COVID-19)related clinical trials from all the clinical trial registry accepted by the International Committee of Medical Journal Editors(ICMJE).Methods:All the database of ICMJE-accepted clinical trial registry platform were searched for COVID-19 related clinical trials that registered from December 8,2019 to February 19,2020.Results:All the database totally contained data of 209 COVID-19 related clinical trials,including 66(31.6%)traditional Chinese medicine(TCM)related studies and 143(68.4%)non-TCM related studies.176(84.2%)clinical trials were registered in ChiCTR,as 33(15.8%)were registered in ClinicalTrials.gov.There were 152(72.7%)intervention trials,including 9(4.3%in total)preventive trials,136(65.1%in total)therapeutic trials and 7(3.3%in total)convalescent trials.Conclusion:At the present stage,clinical studies are still aiming at exploring the effective treatment of COVID-19,and the existing treatments need more high-quality clinical evidence supporting.Traditional Chinese medicine may have played an important role in all stages of the epidemic preventing and control,and the enthusiasm of carrying out scientific research has also been greatly improved.The relevant policies of clinical trial registration should be popularized among researchers,including traditional Chinese medicine researchers.And the methodological quality of clinical trials’design urges improving.

摘要： Precision management of animals using technology is one innovation in agriculture that has the potential to revolutionizewhole livestock industries including the poultry sector. Limited research in precision livestock farming (PLF) in the poultry productionhas been so far conducted and most of them are conducted within the past 5-10 years. The PLF collects real-time data from individual orgroup of animals or birds using sensor technology, and involves the multidisciplinary team approach to give it a reality. Poultry scientistsplay a central role in executing poultry PLF with collaboration from agri-engineers and computer scientists for the type of measurementsto be made on biological or environmental variables. A real-time collection of environmental, behavioral and health data from birdgrow-out facilities can be a strong tool for developing daily action plans for poultry management. Unlike other livestock farming, theattributes of poultry rearing such as a closed housing system and vertically integrated industry provides a greater opportunity for poultrysector to adopt technology-based farming for enhanced production output.

摘要： We consider a functional partially linear additive model that predicts a functional response by a scalar predictor and functional predictors. The B-spline and eigenbasis least squares estimator for both the parametric and the nonparametric components proposed. In the final of this paper, as a result, we got the variance decomposition of the model and establish the asymptotic convergence rate for estimator.

摘要： Objective“Orogenic gold deposits,”which account for 30%of global gold resources(Frimmel and Hennigh,2015),is one of the most important types of gold deposits in the world.This kind of gold deposit is supposed to have spatial and temporal distribution association with the accretionary orogenic belt.The Ailaoshan Gold Belt,where there are many large orogenic gold deposits including Jinchang,Daping,Laowangzhai,Donggualing,and Changan,contribute substantially to Chinese gold resources.The Himalayan orogen and Ailaoshan Orogen,both have experienced the early accretionary orogenesis and the subsequent collisional orogenesis are one of the biggest orogenic belts on the earth.Gold mineralization can be divided into that the earlier Yarlung Zangbo suture zone(59–44 Ma)and the later Ailaoshan Orogen(35–26 Ma)(Li et al.,2017),based on previous geochronological studies.In order to find out if there are any connections between these two gold events,we present 40Ar/39Ar data of hydrothermal sericite collected from the Xiachahe gold deposit in the northwest of the Ailaoshan Gold Belt.However,our new geochronology data regards this as a continuous gold mineralization event resulting from the India–Eurasia collision.

摘要： In the last decade,building energy simulation( BES)became a central component in building energy systems’ design and optimization. For each building location,BES requires one year of hourly weather data. Most buildings are designed to last50 + years,consequently,the building design phase should include BES with future weather files considering climate change.This paper presents a comparative study of two methods to produce future climate hourly data files for BES: Morphing and typical meteorological year of future climate( F-TMY). The study uses data from a high-resolution( 9 km) regional climate atmospheric model simulation of Iberia,spanning 10 years of historical and future hourly data. This study compares both methods by analyzing anomalies in air temperature,and the impact in BES predictions of annual and peak energy consumption for space heating, cooling and ventilation in 4 buildings.Additionally, this study performs a sensitivity analysis of morphing method. The analysis shows that F-TMY is representative of the multi-year simulation for BES applications.A high-quality Morphed TMY weather file has a similar performance compared to F-TMY( average difference: 8% versus 7%). Morphing based on different baseline climates,low-grid resolution and/or outdated climate projections leads to BES average differences of 16%~20%.

摘要： There are several approaches to data collection, such as questionnaires, interviews, observations, focus groups and so on. This essay will look at two specific methods, interviews and questionnaires. It will involve individual strengths and weaknesses at first and then have a brief clarification of'why'and'when'to use. Finally, this essay will list out some problems that researchers might face during the process.

摘要： 本文介绍DVB中有关数据广播的标准,讨论了如何通过IP OVER DVB的方式将丰富的互联网资源通过DVB-C信道广播到用户家中,并对多协议封装MPE的实现方式进行了讨论和研究。

摘要： 本文介绍DVB中有关数据广播的标准,讨论了如何通过IP OVER DVB的方式将丰富的互联网资源通过DVB-C信道广播到用户家中,并对多协议封装MPE的实现方式进行了讨论和研究。

摘要： 本文介绍DVB中有关数据广播的标准,讨论了如何通过IP OVER DVB的方式将丰富的互联网资源通过DVB-C信道广播到用户家中,并对多协议封装MPE的实现方式进行了讨论和研究。

摘要： 本文介绍DVB中有关数据广播的标准,讨论了如何通过IP OVER DVB的方式将丰富的互联网资源通过DVB-C信道广播到用户家中,并对多协议封装MPE的实现方式进行了讨论和研究。

摘要： 本文介绍DVB中有关数据广播的标准,讨论了如何通过IP OVER DVB的方式将丰富的互联网资源通过DVB-C信道广播到用户家中,并对多协议封装MPE的实现方式进行了讨论和研究。

摘要： 本发明涉及化工领域，具体涉及一种DATA生产用双氧水液下滴加分布装置，包括混合筒；立轴，其内部设有内腔，立轴的侧表面设有多个滴加侧面；设于滴加侧面的滴加筒，滴加筒开口的端部固定于滴加侧面，滴加筒的外侧表面设有滴加孔；与滴加筒内壁滑动连接的内筒，内筒的一端开口，内筒的外侧表面设有内孔；调节板及一端与调节板的一侧固定连接的弹簧；用于调节内筒和调节板之间的距离的调节部；一端与内腔连通的导管、出口与导管另一端连通的打料泵、储存有双氧水的物料罐。通过本装置保证在各个液面深度，双氧水都能以稳定的速度进入到原料内部，使得双氧水与原料很好的接触，确保了反应过程的稳定快速进行。

摘要： 本文中的实施方式提供了一种用于管理在线和离线任务关键数据(MC Data)通信系统中的短数据服务(SDS)的系统和方法。各种实施方式提供了用于单向通信的在线MC Data通信系统中的一对一SDS和组SDS。各种实施方式提供了用于双向通信的在线MC Data通信系统中的一对一SDS和组SDS。此外，各种实施方式提供了用于单向通信的离线MC Data通信系统中的一对一SDS和组SDS。

摘要： 本发明涉及一种基于NFV实现多Data Plane的NAT资源自适应分配的系统，其中包括EMS管理模块、vBras虚拟管理模块、SDN交换机模块以及SDN控制器模块，本发明还包括一种利用该系统实现多Data Plane的NAT资源自适应分配转换的方法。采用该发明的基于NFV实现多Data Plane的NAT资源自适应分配转换的系统及方法，能将NAT资源根据Data Plane数目均匀地分配，同时该分配过程仅在Control Plane平面初始化的时候处理，因此在Data Plane处理流量的时候，不会对建立NAT会话流表速度产生影响，采用该系统还可以动态改变Data Plane的数目，并保证不发生流量中断的情况，同时该方法的程序编写简单，可以有效地添加到实际软件工程项目中，保证了虚机业务能力的动态扩展，具有更广泛的应用范围。

摘要： 本发明提出一种CPU单Data线与双DDR内存连接结构，所述CPU单Data线与双DDR内存连接结构包括：第一内存模块、第二内存模块、中央处理器模块和Data线；所述Data线一端与所述中央处理器模块电连接，所述Data线的另一端设有与所述Data线电连接的第一分支线和第二分支线，所述第一分支线远离所述Data线的一端与所述第一内存模块电连接，所述第二分支线远离所述Data线的一端与所述第二内存模块电连接；本发明提出的CPU单Data线与双DDR内存连接结构的第二分支线与第一分支线的长度相等或者长度差在1mm内，从而使信号初始延迟大大降低以此来提高DDR内存的频率。

摘要： 本发明公开了一种补偿Data信号以改善面板残影的驱动方法，包括如下步骤：S1：选择一组Data走线，从该组每个Demux所控制的面内Data走线增加检测线路，连接到IC内部的检测电路；S2：检测电路判断0‑255每个灰阶IC输入到面内的Data信号和IC输出的Data信号是否相同；若信号一致，则不作改变，若信号存在差异，控制电路根据差值改变Data信号，将原来被Demux信号couple后异常拉高的信号反向拉低，再将改变后的Data修正信号传输到输出电路，由输出电路输出Data修正信号；S3：Data修正信号经Demux信号couple后，拉低部分的电压被couple上去，输入到面内的Data信号恢复正常。本发明通过改变Data信号，可有效减少Demux信号对Data信号的couple，改善面板残影。

摘要： 本发明涉及反应釜技术领域，具体涉及一种DATA生产用搅拌反应釜，包括主体和顶盖，所述的主体与顶盖之间通过固定螺栓固定安装，所述的主体内壁低端处镶嵌有内板，所述的主体内壁靠近顶端处焊接有四块内架，所述的主体下表面中心处镶嵌有排料口，所述的排料口中部处镶嵌有阀门，四块所述的内架与内板之间安装有搅拌机构；经过搅拌囊配合其中充气与排气，在使用时经过搅拌囊的绞丝以及弹性塑胶绳的绞丝，在充气时撑开状态下，实现其搅动的作用，同时经过气囊的鼓荡，从而实现其对于内部物料有效搅拌的目的与作用。

摘要： 本发明涉及化工领域，具体涉及一种DATA生产用双氧水液下滴加分布装置，包括混合筒；立轴，其内部设有内腔，立轴的侧表面设有多个滴加侧面；设于滴加侧面的滴加筒，滴加筒开口的端部固定于滴加侧面，滴加筒的外侧表面设有滴加孔；与滴加筒内壁滑动连接的内筒，内筒的一端开口，内筒的外侧表面设有内孔；调节板及一端与调节板的一侧固定连接的弹簧；用于调节内筒和调节板之间的距离的调节部；一端与内腔连通的导管、出口与导管另一端连通的打料泵、储存有双氧水的物料罐。通过本装置保证在各个液面深度，双氧水都能以稳定的速度进入到原料内部，使得双氧水与原料很好的接触，确保了反应过程的稳定快速进行。

摘要： 本发明涉及DATA合成技术领域，具体涉及一种合成DATA用双氧水控制加料装置，包括有固定支撑架，所述固定支撑架的中心处竖向设置有中心固定套，还包括：中心支撑杆，嵌套滑动设置于所述中心固定套的内侧。本发明通过中心支撑杆可以带动液下分布盘，使其浸入反应釜物料液面之下，双氧水可以输送至液下分布盘以进行均匀输送，通过中心支撑杆带动液下分布盘上下移动，物料在穿过旋转套筒过程中通过其中的螺旋导流板带动旋转套筒自转以开启和关闭输送开口，以使双氧水可以在液下分布盘上下移动时通过输送开口输送至反应釜内，使液下分布盘在上下移动的同时不断均匀释放双氧水以便于与物料充分混合，有利于提高反应效率和双氧水利用率。

摘要： 本实用新型公开一种降低Data Demux走线负载的电路结构，具有一个以上的多路复用模块，每个多路复用模块均包括四个薄膜晶体管，四个薄膜晶体管的栅极分别电性连接于第一分路控制信号Demux1、第二分路控制信号Demux2、第三分路控制信号Demux3和第四分路控制信号Demux4，漏极分别电性连接一数据线。本实用新型在原本有两条demux走线控制像素驱动基础上，增加demux走线到4条，每条demux走线的开启时间依然是脉冲周期的1/2，每条走线数据信号充电时间不变。本实用新型通过增加demux走线分担负载，保证demux走线左右两端与中间的推力差异小，面板纯色均匀显示。

摘要： 本发明公开了一种基于NODE ID的安全data sharing的安全多方计算系统和方法，数据节点、计算节点和结果节点分别设置有NODE ID，计算节点设置有PARTY ID；每一数据节点与所有的计算节点建立网络连接，形成数据输入网络；每一计算节点与其它的计算节点建立网络连接，形成预测/训练网络；每一计算节点还与所有结果节点建立网络连接，形成结果重构网络。本发明实现安全多方计算协议支持任意数量的数据提供方和结果接收方；实现节点数据输入、训练/预测、结果重构权限的控制；以及实现MPC中节点网络拓扑结构的创建；实现MPC中所有节点执行相同的脚本完成数据输入、训练/预测及结果重构整个流程。