HypAp: A Hypervolume-Based Approach for Refining the Design of Embedded Systems

Ayari, Rabeh; Nikdast, Mahdi; Hafnaoui, Imane; Beltrame, Giovanni; Nicolescu, Gabriela

doi:10.1109/les.2017.2695118

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Therefore, it is a parameter to choose by experience or by some other methods, such as the elbow method. The very first application of the elbow method can be traced back to an article in Psychometrika [28], and it has been used as one of the methods for determining the number of clusters in a data set in different domains, such as electrical engineering [29,30], computer science [31], education [32], statistics [33,34], and communications [35,36].…”

Section: Cluster Validationmentioning

confidence: 99%

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Poyrazoglu

2021

Energies

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In the electricity market, different pricing models can be applied to increase market competitiveness. Different electricity systems use different market structures. Uniform marginal pricing, zonal marginal pricing, and nodal marginal pricing methods are commonly used market structures. For markets wishing to move from a uniform pricing structure to a more competitive zonal pricing structure, the determination of price zones is critical for achieving a competitive market that generates accurate price signals. Three different pricing zone detection algorithms are analyzed in this paper including the k-means clustering and queen/rook spatially constraint clustering. Finally, the results of a case study for the Turkish electricity system are shared to compare each method.

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Section: Cluster Validationmentioning

confidence: 99%

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Poyrazoglu

2021

Energies

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“…Because it is a multi-objective solution, the authors used a Reduced Pareto front (RPF) to facilitate the designer solution choice. The proposed approach had two stages: first, Pareto optimal solutions are clustered using K-means algorithm, and, as the second stage, a subset of solutions that maximises the hypervolume is selected through a genetic algorithm [28].…”

Section: Machine Learning-based Solutionsmentioning

confidence: 99%

An investigation of latency prediction for NoC-based communication architectures using machine learning techniques

et al. 2019

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Due to the increasing number of cores in Systems on Chip (SoCs), bus architectures have suffered with limitations regarding performance. As applications demand higher bandwidth and lower latencies, buses have not been able to comply with such requirements due to longer wires and increased capacitance. Facing this scenario, Networks-on-Chip (NoCs) emerged as a way to overcome the limitations found in bus-based systems. Fully exploring all possible NoC characteristics settings is unfeasible due to the vast design space to cover. Therefore, some methods which aim to speed up the design process are needed. In this work, we propose the use of machine learning techniques to optimise NoC architecture components during the design phase. We have investigated the performance of several different ML techniques and selected the Random Forest one targeting audio/video applications. The results have shown an accuracy of up to 90% and 85% for prediction involving arbitration and routing protocols, respectively, and in terms of applications inference, audio/video achieved up to 99%. After this step, we have evaluated other classifiers for each application individually, aiming at finding the adequate one for each situation. The best class of classifiers found was the Tree-based one (Random Forest, Random Tree, and M5P) which is very encouraging and it points to different approaches from the current state of the art for NoCs latency prediction.

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Quantifying the impact of uncertainty in embedded systems mapping for NoC based architectures

Guan

Moghaddam

Ababei

2021

Microprocessors and Microsystems

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HypAp: A Hypervolume-Based Approach for Refining the Design of Embedded Systems

Cited by 4 publications

References 18 publications

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

An investigation of latency prediction for NoC-based communication architectures using machine learning techniques

Quantifying the impact of uncertainty in embedded systems mapping for NoC based architectures

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