flexible hardware
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2022 ◽  
Vol 354 ◽  
pp. 00069
Author(s):  
Nicolae Patrascoiu ◽  
Cosmin Rus

The monitoring of environmental parameters in industrial areas where potential sources of pollution exist is very important from the point of view of prevention of environmental accidents. In this paper, we propose a solution for the monitoring of the environmental parameters with the local acquisition through specific environmental and movement sensors and data transmission to a higher hierarchical level through the use of MODBUS communications. A flexible hardware structure and software development concept are presented to offer local information and to be integrated into an environmental quality monitoring network.


2021 ◽  
Author(s):  
Anjana Prabhakar ◽  
Tricha Anjali
Keyword(s):  

Author(s):  
Haotong Qin

Quantization is emerging as an efficient approach to promote hardware-friendly deep learning and run deep neural networks on resource-limited hardware. However, it still causes a significant decrease to the network in accuracy. We summarize challenges of quantization into two categories: Quantization for Diverse Architectures and Quantization on Complex Scenes. Our studies focus mainly on applying quantization on various architectures and scenes and pushing the limit of quantization to extremely compress and accelerate networks. The comprehensive research on quantization will achieve more powerful, more efficient, and more flexible hardware-friendly deep learning, and make it better suited to more real-world applications.


Author(s):  
Jayant J Mane ◽  
Mohan V Aware ◽  
Swapnil W Khubalkar

A laboratory setup is developed to experimentally reinforce the student’s understanding of multilevel neutral point clamped inverter operated with various multicarrier and modulation reference signals. Sixteen combinations of carrier and reference signals out of many more possible are studied in this setup. The lab module is project-based and is designed to perform experiments for the ‘advanced power electronics and drives’ course at the undergraduate level. The hardware implementation details of the multilevel inverter are given in detail for reference to the teachers, students and researchers. Flexible hardware able to be driven by an analogue pulse-generation circuit is explained here or by an external digital programmable device is developed. With the help of dSPACE, complex reference signals are produced for performance analysis.


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