采用改进YoloV4模型检测复杂环境下马铃薯

为解决马铃薯联合收获机在作业过程中分级清选的问题,并在收获作业过程中实时监测评估收获状态,该研究提出一种在光照亮度变化大、土壤与薯块遮挡、机器振动以及尘土干扰等情况下对马玲薯进行识别检测并快速准确获取马铃薯数量以及损伤情况的机器学习模型。在卷积神经残差网络中引入轻量级注意力机制,改进YoloV4检测网络,并将YoloV4结构中的CSP-Darknet53网络替换为MobilenetV3网络,完成特征提取。试验结果表明,基于卷积神经网络的深度学习方法相比于传统Open-CV识别提高了马铃薯识别精度,相比于其他传统机器学习模型,MobilenetV3-YoloV4识别速度更快,马铃薯识别的全类平均准确率达到91.4%,在嵌入式设备上的传输速度为23.01帧/s,模型鲁棒性强,能够在各种环境下完成对正常马铃薯和机械损伤马铃薯的目标检测,可为马铃薯联合收获机智能清选以及智能收获提供技术支撑。     

Model of Survivable Architecture

Critical information system in Interact is in face of increasingly security problems. More attention has been focused on the survivability of information system, which is the capability of system to continue its mission even in the presence of damage to the system. The authors first introduce the definition of survivability. According to four function properties of survivability, which are Resistance, Recognition, Recovery, and Adaption, the authors design a model of survivable system structure and then explain survivability requirement, survivability strategy in this model. Additionally, they provide possible technical solutions for the survivability of systems, categorized by different aspects of our survivability strategy.     

Wavelet Edge Detection Method Based-on Multi-scale Fuzzy Logic

A novel edge detection algorithm is proposed by implementing fuzzy image enhancement at different scales.The implement of this algorithm can reduce the negative influence bring from the non-maximum suppression algorithm which select only one threshold.The success of the approach depends on the selection of a general fuzzy operator(GFO) for the enhancement of contrast of region after smoothing of image at different scales.Consequently,it is more obvious that coarse intensity changes are obtained at a large scale whereas the fine details of intensity changes are obtained at a small scale.A pretty performance is obtained by used this work.     

MACHINE PARAMETER IDENTIFICATION AND FAULT DETECTION FOR THE ALTERNATOR SYSTEM

In this paper, the machine( physical) parameters of the alternator system are on-line estimated on the basis of the derived system continuous-tims model, using Recursive Least-squares Estimation and Inverse Calculation Method proposed by Authors. Therefore, the estimated machine parameters can effectively track the changes of their true values and accomplish the fault detection for the alternator system. This paper gives a new way for machne parameter estimation and fault detection of the alternator systems.     

播种检测技术的研究进展与趋势

播种作业过程中,一旦出现播种异常现象应能及时报警,并检测出故障的性质和位置,以便机手排除故障,提高播种机的播种质量。要实现这一目的,就必须对播种性能施全程监控。为此,介绍了播种检测技术发展概况,指出了提高精密播种机田间播种质量的关键问题,分析了播种检测技术的发展趋势。     

苹果水心病的光学无损检测

通过密度法和自行研制的水心病检测仪器对苹果样品进行检测 ,结果表明 :密度无法分离该样品水心病 ;而 1～ 4级水心病的透光强度之间存在显著差异 ,可以进行水心病判断。把近红外 810 nm的计算透光强度2 5 0 0 0作为界限值可以将好果 (1级 )与 3、4级果完全分离 ,2级果有 2 9%分离     

农村供水工程水质检测模式研究

做好农村供水工程水质检测工作对保障农村供水水质安全至关重要,但它同时也是农村供水的薄弱环节,针对如何建立农村供水工程的水质检测模式开展研究与探讨。明确了农村供水工程水质检测的目标任务,分析了当前农村供水工程水质检测的现状与存在问题,从水质检测指标的选择、水质检测项目与频率的确定、水质检测设备的配备、水质检测人员的配置和监管、水质检测反馈机制的构建等几个方面提出了构建农村供水工程水质检测模式的建议,以期帮助提高农村供水工程的水质检测能力,保障农村供水水质安全。