Embedded System Engineering Using C/C++ Based Design Methodologies

Talarico, Claudio; Gupta, Aseem; Peter, Eldhose; Rozenblit, Jerzy W.

doi:10.1109/ecbs.2005.35

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Similarly, C++ is an object-oriented language and is dynamic by nature. It requires memory allocation and deallocation which is difficult for microcontrollers [33].…”

Section: Implementation In Mobile Devices For Real-time Monitoringmentioning

confidence: 99%

Identification and quantification of gases and their mixtures using GaN sensor array and artificial neural network

Khan

Motayed

Rao

2021

Meas. Sci. Technol.

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Accurate identification and quantification of gas mixtures are almost unattainable utilizing only a metal-oxide/GaN sensor because of its cross-sensitivity to many gases. Here, an array of sensors has been formed consisting of Ag and Pt incorporated ZnO, In2O3 and TiO2 coated two terminal GaN photoconductors. The common environmental toxic gases, such as SO2, NO2, H2, ethanol and their mixtures have been chosen as the gas analytes. All the gas responses have been obtained at 20 °C under UV illumination. Temporal responses have been post-processed to develop the training and test dataset. Then, four different artificial neural network models have been analyzed and optimized for gas classification study, which is done for the first time on GaN sensors. Statistical and computational complexity results indicate that back-propagation neural network (NN) stands out as the optimal classifier among the considered algorithms. Then, ppm concentrations of the identified gases have been estimated using the optimal model. Furthermore, implementation of the developed sensor array in combination with NN algorithm for real-time gas monitoring applications has been discussed.

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“…Similarly, C++ is an object-oriented language and is dynamic by nature. It requires memory allocation and deallocation which is difficult for microcontrollers [33].…”

Section: Implementation In Mobile Devices For Real-time Monitoringmentioning

confidence: 99%

Identification and quantification of gases and their mixtures using GaN sensor array and artificial neural network

Khan

Motayed

Rao

2021

Meas. Sci. Technol.

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“…This allows for different design concerns to be addressed and solved and design reuse facilitated [3]. In order to be economically practical a platform must be general enough to be used across many different applications.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective design space exploration methodologies for platform based SOCs

Talarico

Rodriguez-Marek

Koh

2006

13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06)

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This paper presents a new strategy for design space exploration (DSE) of system-on-chip (SOC)platforms. The solution adopted uses a multi-objective optimization technique based on the concept of Pareto-optimality. The approach is purely heuristic and is a variation of the "simulated annealing" algorithm. To illustrate and validate our methodology the algorithm was used to design a highly parameterized SOC architecture based on a MIPS processor. The performance metrics used to assess the quality of the numerous design alternatives explored are power consumption and execution time. The results obtained demonstrate the robustness of the proposed method both in terms of design time and accuracy.

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