nist network segmentation

Write in front:has not tidied up the habit, causes many things to be forgotten, misses. Take this opportunity to develop a habit.Make a collation of the existing things, record, to explore and share new things.So the main content of the blog for I have done, the study of the collation of records and new algorithms, network framework of learning. It's basically about deep learning and machine learning.The first one is the deep learning image

link between many tags that can be made up by the relationship between tags. The second line in the figure, which identifies part of the skyscraper as a building, should be just one, not both. This can be made up by the relationship between categories. inconspicuous Classes: Models may ignore small things, and larger things can exceed FCN reception, leading to discontinuous predictions. As the third line above, the pillow and quilt material consistent, is recognized together. In order to improv

The number of insider attacks has doubled in the past year, according to data from the US Secret Service's recently released Verizon data leak survey, but external attacks remain the main source of attacks, indicating that businesses still do not secure the network and data. Active security control and secure network architecture play a very important role in resisting internal and external attacks, howeve

"Paper Information""Fully convolutional Networks for Semantic Segmentation"CVPR Best PaperReference Link:http://blog.csdn.net/tangwei2014http://blog.csdn.net/u010025211/article/details/51209504Overview Key contributionsThis paper presents a end-to-end method of semantic segmentation, referred to as FCN.As shown, directly take segmentation's ground truth as the supervisory information, train an end-to-end

Minimalist notes Path Aggregation Network for Instance segmentation Paper Address https://arxiv.org/abs/1803.01534 The core of this article is to propose a network panet for instance segmentation, as shown in Fig. Three improvement:bottom-up Path Augmentation After FPN, add the convolution operation from bottom to top

rotation angle//double angle = slopeimage (noiseimage); Double scale = 1; Rotmat = getrotationmatrix2d (center, angle, scale); Warpaffine (Noiseremoveimage, Rotateimage, Rotmat, Rotateimage.size (), Inter_linear, Border_constant, Scalar (0, 0, 0)); Imshow ("Rotation chart", rotateimage); *//*//expansion of the image mat element = Getstructuringelement (Morph_rect, Size (3, 3));//define core mat Dilateimage = srcimage.c Lone (); Morphologyex (Srcimage, dilateimage, morph_dilate, E

When we learn the TCP/IP protocol, we know that if the TCP message segment is very long, it will be fragmented at the time of sending, and when it is accepted, the same IP datagram will occur when the length exceeds a certain value, and the Shard will be re-reorganized at the receiving end. Let's look at two concepts that are closely related to TCP segment segmentation and IP datagram fragmentation. Myu (maximum transmission unit) The MTU is already m

optimizations that realize that the MTU of the path to A->B->C is 512 (taking a smaller value of 800 and 512), then the subcontracting is divided into 512 bytes and 488 bytes directly on the a host. In this way, only one segment is required, which reduces the overhead of the system.TCP and UDP are not aware of the fragmentation and reassembly process, but the application layer can understand.The Path MTU Discovery feature can discover the MTU (PMTU) of the entire path.The RFC also specifies tha

layer does not have a time-out retransmission mechanism, so the entire IP datagram must be re-transmitted when the Shard of the IP datagram is lost. The timeout and retransmission mechanisms are implemented by higher levels (TCP has a timeout retransmission mechanism, but UDP does not). When a piece from a TCP packet is lost, TCP sends the entire TCP message segment after timeout, which corresponds to an IP datagram. There is no way to retransmit only one datagram in the datagram.Resources:"TCP