Real-time

摘要： Kalman filtering (KF) is a popular form of data assimilation, especially in real-time applications. It combines observations with an equation that describes the dynamic evolution of a system to produce an estimate of its present-time state. Although KF does not use future information in producing an estimate of the state vector, later reanalysis of the archival data set can produce an improved estimate, in which all data, past, present and future, contribute. We examine the case in which the reanalysis is performed using generalized least squares (GLS), and establish the relationship between the real-time Kalman estimate and the GLS reanalysis. We show that the KF solution at a given time is equal to the GLS solution that one would obtain if data excluded future times. Furthermore, we show that the recursive procedure in KF is exactly equivalent to the solution of the GLS problem via Thomas’ algorithm for solving the block-tridiagonal matrix that arises in the reanalysis problem. This connection suggests that GLS reanalysis is better considered the final step of a single process, rather than a “different method” arbitrarily being applied, post factor. The connection also allows the concept of resolution, so important in other areas of inverse theory, to be applied to KF formulations. In an exemplary thermal diffusion problem, model resolution is found to be somewhat localized in both time and space, but with an extremely rough averaging kernel.

摘要： Security measures are urgently required to mitigate the recent rapid increase in network security attacks.Although methods employing machine learning have been researched and developed to detect various network attacks effectively,these are passive approaches that cannot protect the network from attacks,but detect them after the end of the session.Since such passive approaches cannot provide fundamental security solutions,we propose an active approach that can prevent further damage by detecting and blocking attacks in real time before the session ends.The proposed technology uses a two-level classifier structure:the first-stage classifier supports real-time classification,and the second-stage classifier supports accurate classification.Thus,the proposed approach can be used to determine whether an attack has occurred with high accuracy,even under heavy traffic.Through extensive evaluation,we confirm that our approach can provide a high detection rate in real time.Furthermore,because the proposed approach is fast,light,and easy to implement,it can be adopted in most existing network security equipment.Finally,we hope to mitigate the limitations of existing security systems,and expect to keep networks faster and safer from the increasing number of cyber-attacks.

摘要： A real-time magnetic island reconstruction(MIR)system based on PCI express platform for HL-2 A tokamak is introduced.The front-end analog circuit and high performance analog-to-digital converters complete high-precision synchronous sampling of 18 channel Mirnov signals,and the application of PCIe platform and direct memory access technology enables high speed data transmission between graphics processing unit and field programmable gate array(FPGA).FPGA,as a mainstream high speed parallelizable computing tool,was used to implement the MIR algorithm,while a parameter table is established in an external double data rate SDRAM to improve the computational efficiency.The software of the MIR system is developed with Compute Unified Device Architecture 8.0 in Centos 6 system,which mainly realizes driver development,data transmission,network communication,parameter calculation and system control.This system has been tested in HL-2 A plasma discharge experiment,and the reconstructed magnetic island structure can achieve a spatial resolution of 1.02 cm while the time resolution can reach 2 ms.

摘要： This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensional convolutional neural network(1D-CNN)and long short-term memory(LSTM)method in the image frequency domain.The so-called 1D-CNN-LSTM algorithm is trained using thousands of images of cracked and non-cracked concrete bridge decks.In order to improve the training efficiency,images are first transformed into the frequency domain during a preprocessing phase.The algorithm is then calibrated using the flattened frequency data.LSTM is used to improve the performance of the developed network for long sequence data.The accuracy of the developed model is 99.05%,98.9%,and 99.25%,respectively,for training,validation,and testing data.An implementation framework is further developed for future application of the trained model for large-scale images.The proposed 1D-CNN-LSTM method exhibits superior performance in comparison with existing deep learning methods in terms of accuracy and computation time.The fast implementation of the 1D-CNN-LSTM algorithm makes it a promising tool for real-time crack detection.

摘要： 目的研究乳腺浸润性导管癌组织样本和癌旁正常组织样本中YAPmRNA的表达情况,探讨其与乳腺浸润性导管癌患者的临床病理特征的关系。方法严格按照纳入标准选择病例,分30例乳腺浸润性导管癌样本(实验组)和30例癌旁正常样本(对照组),通过采用real-time PCR方法检测实验组和对照组中的YAPmRNA的表达,并分析其与年龄、肿瘤癌灶最大径、淋巴结转移情况、TNM分期、ER、PR、Her-2和Ki-67等临床病理学特征的关系。结果癌组织YAPmRNA相对表达量实验组1.25±0.86,对照组4.87±2.69,差异有统计学意义(P0.05)。结论YAPmRNA表达与乳腺癌发病呈正相关,且该病的发生发展与雌激素水平相关,可作为判断疾病治疗预后的新指标。

摘要： Smoking is the main reason for fire disaster and pollution in petrol station,construction site and warehouse.Existing solutions based on wearable devices and smoking sensors were costly and hard to obtain evidence of smoking in unmanned scenarios.With the developments of closed circuit television(CCTV)system,vision-based methods for object detection,mostly driven by deep learning techniques,were introduced recently.However,the massive GPU computing hardware required by the deep learning algorithm made these methods hard to be deployed.This paper aims at solving the smoking detection problem on edge and proposes the solution that has fast detection speed,high accuracy on micro-objects and low computing budget,i.e.,it could be deployed on the edge device such as NVIDIA JETSON TX2.We designed a new framework named RTVBS based on yolov3 and made a smoking dataset to train our model.We raised several methods to improve detection accuracy during the training step.The validation results show our model has excellent performance in smoking detection.

摘要： 2018年初投入协作机器人事业的三菱电机(Mitsubishi Electric),于2019年5月出资美国工业机器人系统的新创企业Realtime Robotics(RTR),以强化三菱电机的研发资源,并即将推出新产品上市。日本的发那科(Fanuc)、安川电机(Yasukawa Electric)等更早就投入协作机器人事业,三菱电机正设法追赶。

摘要： 为探究内分泌关键调节基因在不同倍性雌性虹鳟 Oncorhynchus mykiss 早期和后期发育不同阶段的表达模式,采用Real-time PCR方法,分别对二、三倍体雌性虹鳟早期发育阶段(31~68 days post fertilization, dpf)脑组织和不同发育阶段(160~450 dpf)性腺组织中促性腺激素释放激素(GnRH1)、促性腺激素释放激素受体(GnRHr)和促性腺激素α亚基(GTHa)基因的表达模式进行研究。结果表明:在早期发育阶段,三倍体雌性虹鳟脑中 gnrh1 和 gnrhr 的表达在某些时期呈显著上升( P<0.05 ),而 gtha 基因的表达显著降低( P<0.05 ),且始终维持在较低水平;三倍体雌性虹鳟在180~270 dpf时期,性腺组织中这3个基因的表达量均较检测初期(160 dpf)出现了显著下降( P<0.05 ),在发育后期360~450 dpf,这3个基因的表达量均较检测初期(160 dpf)下降了90%以上( P<0.05 )。研究表明,三倍体雌性虹鳟腺垂体在早期发育阶段分泌促性腺激素的能力出现障碍,在三倍体雌性虹鳟的发育过程中内分泌生殖轴下丘脑—腺垂体—性腺受到阻断,这是导致其性腺发育异常的关键原因之一。

摘要： Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applications is presented that is the water monitoring applications. An efficient approach for monitoring and controlling water parameters in real-time is implemented utilizing merging between WSN and designed simple workstation. For implementation simplicity, two water parameters (pH and temperature) are monitored and controlled in the proposed approach. Most of past work of water monitoring presented different proposed monitoring scenarios for different water parameters only. This research work utilizes the concept of interactive WSN nodes. The interactive nodes interact with the monitored water parameters to control its value. In the base station, the collected data is analyzed and the real-time value of the monitored parameters appears on the designed Graphic User Interface (GUI). The GUI is designed using the Matlab program. Through the GUI, the operator can switch the control between automatic and manual. ZigBee module is used for implementing the wireless communications between the nodes and the workstation. Due to the cost and simplicity, two sensors only are used in the proposed approach. Different real-time experiments are performed to test and measure the effectiveness and performance of the presented approach. These experiments reveal that the presented approach is effective for water treatment and efficient more than the past proposed water monitoring scenarios.

摘要： Recent advances in wireless sensor networks have led to rapid development of real-time applications.Many routing protocols have been specifically designed for these applications where real-time guarantee is an essential design issue.In this paper,the state of the art in real-time routing protocols for WSNs is surveyed,along with the highlights of the advantages and performance issues of each routing protocol and algorithm.In addition,the paper concludes with classification of recent real-time routing protocols and discusses open research issues.

摘要： Recent advances in wireless sensor networks have led to rapid development of real-time applications.Many routing protocols have been specifically designed for these applications where real-time guarantee is an essential design issue.In this paper,the state of the art in real-time routing protocols for WSNs is surveyed,along with the highlights of the advantages and performance issues of each routing protocol and algorithm.In addition,the paper concludes with classification of recent real-time routing protocols and discusses open research issues.

摘要： Recent advances in wireless sensor networks have led to rapid development of real-time applications.Many routing protocols have been specifically designed for these applications where real-time guarantee is an essential design issue.In this paper,the state of the art in real-time routing protocols for WSNs is surveyed,along with the highlights of the advantages and performance issues of each routing protocol and algorithm.In addition,the paper concludes with classification of recent real-time routing protocols and discusses open research issues.

摘要： Recent advances in wireless sensor networks have led to rapid development of real-time applications.Many routing protocols have been specifically designed for these applications where real-time guarantee is an essential design issue.In this paper,the state of the art in real-time routing protocols for WSNs is surveyed,along with the highlights of the advantages and performance issues of each routing protocol and algorithm.In addition,the paper concludes with classification of recent real-time routing protocols and discusses open research issues.

摘要： 本发明公开了一种用于检测非洲猪瘟病毒的分子探针及Realtime‑PCR检测方法，旨在解决现有检测技术可靠性和实用性差的技术问题。本发明检测非洲猪瘟病毒的分子探针的核苷酸序列如SEQ ID NO.2所示。本发明配制了一种检测非洲猪瘟病毒的RT‑PCR反应液，制备了一种检测非洲猪瘟病毒RT‑PCR反应液冻干粉、一种非洲猪瘟病毒检测试剂盒，并提供了非洲猪瘟病毒的定性和定量检测方法。本发明设计的分子探针及建立RT‑PCR检测方法具有敏度性高、重复性好、特异性强的特点，提高PCR技术检测ASFV的可靠性和易用性，实现无污染、高通量的检测，可用于检测易感动物及相关动物制品中ASFV核酸。

摘要： 本发明公开了半巢式-RT-Realtime PCR检测马铃薯X病毒的试剂盒，包括TaqMan探针与引物的设计、植物总RNA提取及质量控制、将RNA反转录合成cDNA和实时荧光PCR检测。本方法有机地结合了实时荧光PCR和巢式PCR技术：在实时荧光PCR引物的外侧按照巢式PCR的设计原理增设了一条正链引物，反链引物分别与两条正链引物配对形成两套独立的PCR反应，并共用一条TaqMan探针。本发明的优点在于：引物极高的扩增效率保证了检测的高灵敏度，有效提高了检测的灵敏度，三条引物形成的两套PCR体系进行相互验证，极大地提高了检测的准确性，简化了操作并缩短了检测周期，全封闭的操作系统减少了污染。

摘要： 本发明公开了半巢式-RT-Realtime PCR检测马铃薯X病毒的试剂盒，包括TaqMan探针与引物的设计、植物总RNA提取及质量控制、将RNA反转录合成cDNA和实时荧光PCR检测。本方法有机地结合了实时荧光PCR和巢式PCR技术：在实时荧光PCR引物的外侧按照巢式PCR的设计原理增设了一条正链引物，反链引物分别与两条正链引物配对形成两套独立的PCR反应，并共用一条TaqMan探针。本发明的优点在于：引物极高的扩增效率保证了检测的高灵敏度，有效提高了检测的灵敏度，三条引物形成的两套PCR体系进行相互验证，极大地提高了检测的准确性，简化了操作并缩短了检测周期，全封闭的操作系统减少了污染。