Discussion: Block 3

The following is a discussion recording of Activelayers backed by Annie Abrahams, Roger Mills, Maja Delak, Luka Princic at the end of the block. You can download the history of chat here

Let's take a look at the situation above to explain the status update of AM. It shows four permissible time slots {t 1, t 2, t 3, t 4} for block generation. The solid line shows the verified block generated on time and the dotted line shows the missing block. For each time slot, the system can calculate the index causing index AM using the above equation. The system sets the status of the AM that failed to generate the block to "inactive" and sets the state of the generator of the current block to "active". In this example, after verifying B (n, t 4), the system updates the AM state associated with B (n, t 4) as follows.

Block chains are changed by design tolerance. Part of the security of the block chain is to ensure that links between blocks are not tampered with. Therefore, the hash before block # 3 is actually equivalent to the hash of block # 2. This is what I checked in with the "isChainValid" method. Another part of the protected block chain is to make sure that the data in the block after creating the block has not changed. For example, if someone tries to change who completed the transaction in the block, you need to prevent this in order to ensure security. If the data in the block has been tampered with, since the data is an input to the hash function, the hash of the block also changes. Changing the hash value is also taken into account in the "isChainValid" method to see if the data has changed since the block was created.

Using the above image, the block contains "hash" in block 3. That is, if you change the contents of block 3, the hash value of block 3 changes (stored in block 4), the hash value of block 4 also changes. This means that each subsequent block in the chain is no longer linked and the chain is disconnected. Therefore, the network does not accept this change. Public networks such as Bitcoin and Ethernet are widely known. With computers and intuitive instructions, anyone can connect as a node to these networks. The encryption currency tends to be hosted on the public network, and it is possible to conduct global transactions between individuals.

The VGG network uses multiple 3 × 3 convolutional layers to represent complex functions. Note that VGG - E blocks 3, 4, 5: 256 × 256 and 512 × 512 3 × 3 filters are used more than once to extract more complex features and combinations of these features . This is actually like having 3 layers of 512 x 512 large classifiers. This obviously corresponds to a large number of parameters and is learning ability. However, training of these networks is extremely difficult, and in order to add layers on a layer by layer basis, it is necessary to divide them into smaller networks. This is all because of the lack of a powerful way to standardize the model, or to limit the large search space promoted by any number of parameters in some way.