新型高效无雾涂料喷枪

传统的喷涂方法的效率仍然很低(大约为50％甚至更低)，同时污染严重，操作人员在常人几乎无法忍受的环境中工作。现在，METCAP公司开发了一种新型喷枪，可将这些负面影响降到最低。新型喷枪完全避免了经常发生的喷雾和涂料的反弹现象，喷涂效率几乎可以达到100％。

基于物理模型的单幅图像去雾方法研究

为了提高雾天降质图像的清晰度,文章研究基于物理模型复原的图像去雾算法,提出基于该方法复原的快速图像去雾方法。首先提出天空区域自适应选择算法估计全局大气光,然后利用均值滤波的方式快速估计透射率,最终恢复无雾图像。

Eagle-Vision-Based Object Detection Method for UAV Formation in Hazy Weather

Inspired by eagle’s visual system,an eagle-vision-based object detection method for unmanned aerial vehicle(UAV)formation in hazy weather is proposed in this paper.To restore the hazy image,the values of atmospheric light and transmission are estimated on the basis of the signal processing mechanism of ON and OFF channels in eagle’s retina.Local features of the dehazed image are calculated according to the color antagonism mechanism and contrast sensitivity function of eagle’s visual system.A center-surround operation is performed to simulate the response of reception field.The final saliency map is generated by the Random Forest algorithm.Experimental results verify that the proposed method is capable to detect UAVs in hazy image and has superior performance over traditional methods.

A method to generate foggy optical images based on unsupervised depth estimation

For traffic object detection in foggy environment based on convolutional neural network(CNN),data sets in fog-free environment are generally used to train the network directly.As a result,the network cannot learn the object characteristics in the foggy environment in the training set,and the detection effect is not good.To improve the traffic object detection in foggy environment,we propose a method of generating foggy images on fog-free images from the perspective of data set construction.First,taking the KITTI objection detection data set as an original fog-free image,we generate the depth image of the original image by using improved Monodepth unsupervised depth estimation method.Then,a geometric prior depth template is constructed to fuse the image entropy taken as weight with the depth image.After that,a foggy image is acquired from the depth image based on the atmospheric scattering model.Finally,we take two typical object-detection frameworks,that is,the two-stage object-detection Fster region-based convolutional neural network(Faster-RCNN)and the one-stage object-detection network YOLOv4,to train the original data set,the foggy data set and the mixed data set,respectively.According to the test results on RESIDE-RTTS data set in the outdoor natural foggy environment,the model under the training on the mixed data set shows the best effect.The mean average precision(mAP)values are increased by 5.6%and by 5.0%under the YOLOv4 model and the Faster-RCNN network,respectively.It is proved that the proposed method can effectively improve object identification ability foggy environment.

Biosurfactant Production in Aerobic and Anaerobic Conditions by Different Species of the Genus Pseudomonas

In a time where surface active agents are capable of reducing the energy of the bonds between water molecules by interacting with them to reduce surface tension, it would be unwise not to be able to generate these in masses. Different Pseudomonas species were grown in MSP （minimal sulphate phosphate） media containing salts, glycerol and glucose. P. aeruginosa grown aerobically in the presence of glycerol as carbon source showed the highest emulsion percentage （81.48%）, most significant decrease in surface tension （20 mN/m） and rhamnose production of 2.86 mg/mL. However, in anaerobic conditions there was no emulsion, rhamnolipid production or decrease in surface tension. The rhamnolipids were molecularly characterized using ESI-MS （electrospray ionization-mass spectrometry）, P. aeruginosa CVCM 411 is able to produce mono-rhamnolipids and di-rhamnolipids, being rhamnolipid RhC10C12.1 the predominant monomer. The specific growth rate for isolates ofP. aeruginosa and P.fluorescens in MSP are 0.6732 ht and 0.2181 h^-1, respectively. In conclusion, the formation of rhamnolipids by P. aeruginosa is linked to its growth （depending on μ）, and its ability to generate about 35% of the μmax in the presence of glucose （carbon source） and glycerol （applied as pulses）.

城市的苏醒

城市的苏醒,有雾或无雾,总是比在乡村看到的光芒四射的日出更动人。城市的日出更多的是一种新生,饱含着更多的期待。与此相比,乡村的太阳将一切镀成金色,那儿先是暗光,再是潮湿的光芒,然后,变成亮闪闪的金色光芒,将草地、灌木丛的轮廓和郁郁葱葱的树林镀成金色。阳光照射在窗户上、墙上和屋顶上,将它的影响力放大到无数倍。