The logic blocks in FPGAs are configured to realize complex combinational functions describing the operation of different functional units of combinational type: encoders, decoders, multiplexers, demultiplexers, code converters, digital comparators and various arithmetic circuits. One of the issues ...
This review article delves into the conceptual framework of digital twins and their diverse applications across research domains, highlighting the pivotal
This method is based on counting the number of encoder pulses [x(k)−x(k−1)][x(k)−x(k−1)] in an established period of time (T) which can be defined as the inverse of the DSP calculation rate (150 MHz in our case) [22]. The encoder count (position) is read at ...
Are my components sufficient for this application? For a project, I need to synchronize two asynchronous motors using two incremental encoders, a G120 PN frequency drive, and an S7-1200 PLC. These motors will drive a belt with an attached carrier, where precise positioning is essential. Is th...
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen poten
The deep spectral features were represented using a sparse-auto-encoder (SAE) and CNN was applied to extract image features. After fusing the extracted features, machine learning algorithms such as k-nearest neighbors (KNN) and SVM are used for classification. The results showed that the SAE-...
A novel 4D dual-memristor chaotic system (4D-DMCS) is constructed by concurrently introducing two types of memristors: an ideal quadratic smooth memristor and a memristor with an absolute term, into a newly designed jerk chaotic system. The excellent nonlinear properties of the system are investigat...
[88] proposed a hybrid prediction method, which combines the average Euclidean distance, the transfer learning method based on stacked noise reduction automatic encoder and the improved Arrhenius model. The model estimates the life of the same battery formulation tested at high temperature, and ...
In Depth 4.7.3 Device List 4.7.4 Hardware Platforms and Software Examples 4.7.5 Documentation 5Interface Key Technologies 5.1 Direct Host Control of C2000 Peripherals 5.1.1 Value Proposition 5.1.2 In Depth 5.1.2.1 HIC Bridge for FSI Applications 5.1.2.2 HIC Bridge for Position Encoder ...
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology. CNN is designed to automatically and adaptively learn spatial hierarchies of features through back...