Nowadays,the number of vehicles in China has increased significantly.The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need.However,the...Nowadays,the number of vehicles in China has increased significantly.The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need.However,the existing early warning devices such as geomagnetic,ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance.In addition,geomagnetic detection will damage the road surface,while ultrasonic and infrared detection will be greatly affected by the environment.Considering the shortcomings of the existing solutions,this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and microcontrollers.This solution combines image acquisition and processing technology,which uses image sensor to perceive traffic condition and image data analysis algorithm to process perceived image,and then utilize LED display screen to issue an early warning.展开更多
Focusing on controlling the press-assembly quality of high-precision servo mechanism,an intelligent early warning method based on outlier data detection and linear regression is proposed.Linear regression is used to d...Focusing on controlling the press-assembly quality of high-precision servo mechanism,an intelligent early warning method based on outlier data detection and linear regression is proposed.Linear regression is used to deal with the relationship between assembly quality and press-assembly process,then the mathematical model of displacement-force in press-assembly process is established and a qualified press-assembly force range is defined for assembly quality control.To preprocess the raw dataset of displacement-force in the press-assembly process,an improved local outlier factor based on area density and P weight(LAOPW)is designed to eliminate the outliers which will result in inaccuracy of the mathematical model.A weighted distance based on information entropy is used to measure distance,and the reachable distance is replaced with P weight.Experiments show that the detection efficiency of the algorithm is improved by 5.6 ms compared with the traditional local outlier factor(LOF)algorithm,and the detection accuracy is improved by about 2%compared with the local outlier factor based on area density(LAOF)algorithm.The application of LAOPW algorithm and the linear regression model shows that it can effectively carry out intelligent early warning of press-assembly quality of high precision servo mechanism.展开更多
Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectivel...Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectively defend against attacks and attackers. To do this, correlative information provided by IDS must be gathered and the current intrusion characteristics and sit- uation must be analyzed and estimated. This paper applies D-S evidence theory to distributed intrusion detection system for fusing information from detection centers, making clear intrusion situation, and improving the early warning capability and detection efficiency of the IDS accord- ingly.展开更多
墨西哥地震预警系统(El Sistema de Alerta Sísmica Mexicano,SASMEX)于1993年开始投入使用,是世界上首个向公众发布预警信息的系统。SASMEX已成功运行了30年,目前拥有96个监测台站,覆盖范围从巴亚尔塔港(哈利斯科州)到萨利纳克鲁...墨西哥地震预警系统(El Sistema de Alerta Sísmica Mexicano,SASMEX)于1993年开始投入使用,是世界上首个向公众发布预警信息的系统。SASMEX已成功运行了30年,目前拥有96个监测台站,覆盖范围从巴亚尔塔港(哈利斯科州)到萨利纳克鲁斯(瓦哈卡州)的太平洋海岸以及格雷罗州和普埃布拉新火山轴南部地区。近年来,SASMEX结合震级阈值和震中距生成警报,并利用专用接收器、公共扬声器、多灾种无线电以及电视和广播电台发布预警信息。系统可以在强震动到达后1分钟内向公众发布墨西哥城的峰值地面加速度图。代表性案例是2017年9月7日特万特佩克大地震(M w 8.2)中,SASMEX为墨西哥城提供了近2分钟的预警时间。展开更多
目的构建基于视频目标检测的中药饮片调剂预警系统,降低中药饮片调剂混淆事件发生率,保障用药安全。方法设计基于人工智能的中药饮片调剂预警系统开发方案,分为视频采集、目标检测、文字识别和预警四个模块。预警系统可以驱动监控视频...目的构建基于视频目标检测的中药饮片调剂预警系统,降低中药饮片调剂混淆事件发生率,保障用药安全。方法设计基于人工智能的中药饮片调剂预警系统开发方案,分为视频采集、目标检测、文字识别和预警四个模块。预警系统可以驱动监控视频实时检测药剂师中药饮片调剂内容,与处方实时比对,对漏配、错配和多配等错误调剂信息进行语音和图文信息预警。本文以小柴胡汤加减方为基础,采购3个批次中药饮片样本,采集并标注1524张饮片图像,制作中药饮片数据集,基于Faster R-CNN算法训练目标检测模型并进行系统构建。结果经测试Faster R-CNN模型均值平均精度(mean average precision,mAP)达到了9510%,利用训练好的目标检测模型结合文字识别和预警算法构建预警系统,对中药饮片调剂过程进行识别,系统能对调剂错误行为进行准确自动报警。结论该系统可实时、主动进行中药饮片调剂检测和预警,为中药饮片调剂智能化提供新思路,提高中药饮片调剂科技水平,促进中医药与人工智能相结合。展开更多
基金This project is supported by the Cooperative Education Fund of China Ministry of Education(201702113002,201801193119)Hunan Natural Science Foundation(2018JJ2138)+2 种基金Excellent Youth Project of Hunan Education Department(17B096)the H3C Fund of Hunan Internet of Things Federation(20180006)Degree and Graduate Education Reform Project of Hunan Province(JG2018B096).
文摘Nowadays,the number of vehicles in China has increased significantly.The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need.However,the existing early warning devices such as geomagnetic,ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance.In addition,geomagnetic detection will damage the road surface,while ultrasonic and infrared detection will be greatly affected by the environment.Considering the shortcomings of the existing solutions,this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and microcontrollers.This solution combines image acquisition and processing technology,which uses image sensor to perceive traffic condition and image data analysis algorithm to process perceived image,and then utilize LED display screen to issue an early warning.
文摘Focusing on controlling the press-assembly quality of high-precision servo mechanism,an intelligent early warning method based on outlier data detection and linear regression is proposed.Linear regression is used to deal with the relationship between assembly quality and press-assembly process,then the mathematical model of displacement-force in press-assembly process is established and a qualified press-assembly force range is defined for assembly quality control.To preprocess the raw dataset of displacement-force in the press-assembly process,an improved local outlier factor based on area density and P weight(LAOPW)is designed to eliminate the outliers which will result in inaccuracy of the mathematical model.A weighted distance based on information entropy is used to measure distance,and the reachable distance is replaced with P weight.Experiments show that the detection efficiency of the algorithm is improved by 5.6 ms compared with the traditional local outlier factor(LOF)algorithm,and the detection accuracy is improved by about 2%compared with the local outlier factor based on area density(LAOF)algorithm.The application of LAOPW algorithm and the linear regression model shows that it can effectively carry out intelligent early warning of press-assembly quality of high precision servo mechanism.
文摘Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectively defend against attacks and attackers. To do this, correlative information provided by IDS must be gathered and the current intrusion characteristics and sit- uation must be analyzed and estimated. This paper applies D-S evidence theory to distributed intrusion detection system for fusing information from detection centers, making clear intrusion situation, and improving the early warning capability and detection efficiency of the IDS accord- ingly.
文摘墨西哥地震预警系统(El Sistema de Alerta Sísmica Mexicano,SASMEX)于1993年开始投入使用,是世界上首个向公众发布预警信息的系统。SASMEX已成功运行了30年,目前拥有96个监测台站,覆盖范围从巴亚尔塔港(哈利斯科州)到萨利纳克鲁斯(瓦哈卡州)的太平洋海岸以及格雷罗州和普埃布拉新火山轴南部地区。近年来,SASMEX结合震级阈值和震中距生成警报,并利用专用接收器、公共扬声器、多灾种无线电以及电视和广播电台发布预警信息。系统可以在强震动到达后1分钟内向公众发布墨西哥城的峰值地面加速度图。代表性案例是2017年9月7日特万特佩克大地震(M w 8.2)中,SASMEX为墨西哥城提供了近2分钟的预警时间。
文摘目的构建基于视频目标检测的中药饮片调剂预警系统,降低中药饮片调剂混淆事件发生率,保障用药安全。方法设计基于人工智能的中药饮片调剂预警系统开发方案,分为视频采集、目标检测、文字识别和预警四个模块。预警系统可以驱动监控视频实时检测药剂师中药饮片调剂内容,与处方实时比对,对漏配、错配和多配等错误调剂信息进行语音和图文信息预警。本文以小柴胡汤加减方为基础,采购3个批次中药饮片样本,采集并标注1524张饮片图像,制作中药饮片数据集,基于Faster R-CNN算法训练目标检测模型并进行系统构建。结果经测试Faster R-CNN模型均值平均精度(mean average precision,mAP)达到了9510%,利用训练好的目标检测模型结合文字识别和预警算法构建预警系统,对中药饮片调剂过程进行识别,系统能对调剂错误行为进行准确自动报警。结论该系统可实时、主动进行中药饮片调剂检测和预警,为中药饮片调剂智能化提供新思路,提高中药饮片调剂科技水平,促进中医药与人工智能相结合。
