Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Emilian David"'
Autor:
Alecsandra Rusu, Emilian David, Vasile Grosu, Marina Topa, Andi Buzo, Bianca Carbunescu, Georg Pelz
Publikováno v:
IEEE Access, Vol 12, Pp 136436-136450 (2024)
This paper presents an adaptive pre-silicon integrated circuit verification algorithm that incorporates a machine learning algorithm. This approach can overcome the traditional corner-based process-voltage-temperature verification limitations conside
Externí odkaz:
https://doaj.org/article/09a7adbb39e44090994795f77cd37254
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Publikováno v:
ICECS
This paper presents a local sensitivity analysis methodology of circuit performances., i.e. Electrical Parameters (EPs)., with manufacturing process variations., based on modelling the EPs dependence on the Process Control Monitor parameters. It can
Publikováno v:
DDECS
This paper proposes a pole-placement method for tuning the discrete PID control of a DC-DC Buck converter that ensure specific time-domain performances when a step disturbance in the input voltage or load is applied. The control is also designed to r
Publikováno v:
ICECS
Early (pre-silicon) yield estimation with regard to technology variations represents a cost-effective solution in the semiconductor industry. This paper presents preliminary results on a yield estimation methodology that models and uses the Electrica
Publikováno v:
2019 International Symposium on Signals, Circuits and Systems (ISSCS).
This paper describes a discrete time-domain system identification method applied on a DC-DC Buck converter with software control loop. The essence of the method consists in estimating a transfer function of the DC-DC Buck converter that approximates
Publikováno v:
SMACD
The sensitivity of integrated circuit parameters regarding manufacturing process variation represents a very important ongoing topic in the semiconductor industry. Establishing the functional relationship between them at an early stage, i.e. simulati
Autor:
Elena-Diana Sandru, Emilian David
Publikováno v:
2019 International Symposium on Signals, Circuits and Systems (ISSCS).
In this paper we propose a method that is based on Bayesian optimization that performs feature selection and hyperparameter optimization for training regression models. Without loss of generality, we consider here as regressor a Multilayer Perceptron
Publikováno v:
2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE).
Nowadays integrated circuits (ICs) are produced in very fine technologies and include increasingly complex functions demanded by the new industry trends. This makes them even more sensitive to process variations than before. Variation is an expensive
Autor:
Paul Ungureanu, Emilian David
Publikováno v:
2017 International Symposium on Signals, Circuits and Systems (ISSCS).
We investigate the performances of fixed point implementation recursive approximations of Gabor filters in a texture classification framework based on a bag of words approach. The obtained results indicate that it is possible to obtain similar perfor