The grading judgment for apples is related to a variety of factors including,size,shape,color,texture,and scars.Traditional manual sorting methods are time consuming and labor intensive.In addition,the accuracy of the...The grading judgment for apples is related to a variety of factors including,size,shape,color,texture,and scars.Traditional manual sorting methods are time consuming and labor intensive.In addition,the accuracy of the method is easily subjective,not repeatable,error-prone,and affected by the sorting environment.This paper presents a complete and automated grading system for apples.The system uses a single-chip microcomputer as the controller of the system,and a PC as the graphics processing unit.It also includes a conveyor,drive motor,frequency converter for motor control,photoelectric sensors,air compressor,and air jets for ejecting the graded apples.The classification algorithm is implemented by using a convolutional neural network(CNN).In order to eliminate contact damage of apples,the system specifically uses air jets as actuators to eject the graded apples into the corresponding bins.At the same time,in order to ensure that an apple triggers the correct ejecting actuator,this paper designs a jet controller with proper logic.展开更多
In an optoelectronic 2-D programmable neural network system, optical data need to be transferred and feedback with high speed. This paper presents the design and implementation of the interface circuit and its software.
为防止卡车在长时间刹车后,刹车鼓温度过热或高负载情况下差速器油温过高而发生事故,文章设计一种基于STM32F429和STM32F103单片机协同工作的卡车刹车鼓温度、差速器油温监控与预测系统。该系统以STM32F429单片机为主处理器,利用控制器...为防止卡车在长时间刹车后,刹车鼓温度过热或高负载情况下差速器油温过高而发生事故,文章设计一种基于STM32F429和STM32F103单片机协同工作的卡车刹车鼓温度、差速器油温监控与预测系统。该系统以STM32F429单片机为主处理器,利用控制器局域网(controller area network,CAN)总线和以STM32F103为核心的从处理器进行及时数据传输和存储,并融入STemWin系统设计人机交互界面,基于自回归求积移动平均理论建立温度预测模型。仿真结果表明:该系统稳定可靠、预测精准,能有效减少因刹车鼓温度或差速器油温过高而引起的事故。展开更多
文摘The grading judgment for apples is related to a variety of factors including,size,shape,color,texture,and scars.Traditional manual sorting methods are time consuming and labor intensive.In addition,the accuracy of the method is easily subjective,not repeatable,error-prone,and affected by the sorting environment.This paper presents a complete and automated grading system for apples.The system uses a single-chip microcomputer as the controller of the system,and a PC as the graphics processing unit.It also includes a conveyor,drive motor,frequency converter for motor control,photoelectric sensors,air compressor,and air jets for ejecting the graded apples.The classification algorithm is implemented by using a convolutional neural network(CNN).In order to eliminate contact damage of apples,the system specifically uses air jets as actuators to eject the graded apples into the corresponding bins.At the same time,in order to ensure that an apple triggers the correct ejecting actuator,this paper designs a jet controller with proper logic.
基金Supported by the National High Technology programme of Chinathe Climbing Programme National Key Project for Fundamental Research in China,Grant NSC 92097
文摘In an optoelectronic 2-D programmable neural network system, optical data need to be transferred and feedback with high speed. This paper presents the design and implementation of the interface circuit and its software.
文摘为防止卡车在长时间刹车后,刹车鼓温度过热或高负载情况下差速器油温过高而发生事故,文章设计一种基于STM32F429和STM32F103单片机协同工作的卡车刹车鼓温度、差速器油温监控与预测系统。该系统以STM32F429单片机为主处理器,利用控制器局域网(controller area network,CAN)总线和以STM32F103为核心的从处理器进行及时数据传输和存储,并融入STemWin系统设计人机交互界面,基于自回归求积移动平均理论建立温度预测模型。仿真结果表明:该系统稳定可靠、预测精准,能有效减少因刹车鼓温度或差速器油温过高而引起的事故。
