Economic analysis of an energy efficient LED based lighting scheme for a pharmaceutical industry

Paul, Basil; Kamath, Vedavyasa; Mathew, Mobi

doi:10.1109/ipact.2017.8245171

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…As in Figure 1, assuming that each edge server s n (1 ≤ n ≤ N) has Z resource blocks (RBs) [22] and divides the communication time slice according to the time division multiple access (TDMA) method by default, the data upload rate [23] of each user u m (u m ϵ ɸ n ) to in the vicinity of s n is:…”

Section: User Model Transmissionmentioning

confidence: 99%

Optimising the computational and cost efficiency of hierarchical federated edge learning

wang

2024

Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023)

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Hierarchical Federated Edge Learning (HFEL) is a promising and efficient framework , providing privacy preservation, which aims to address the issue of limited resources and network congestion by utilizing the available resources in the edge network. This paper proposes a new scheme, HFEL-Q, based on HFEL to address the high energy consumption problem of FL training, as well as the inherent communication and user heterogeneity problems. To improve training performance, a utility function is designed based on users' learning quality and training time to efficiently select the user group with the highest utility. Additionally, a frequency determination method is employed to optimize idle time and reduce energy consumption during training. Finally, the performance of HFEL-Q is evaluated on two real datasets to demonstrate its superiority over state-of-the-art baselines in terms of training rate, accuracy, and energy savings.

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Section: User Model Transmissionmentioning

confidence: 99%

Optimising the computational and cost efficiency of hierarchical federated edge learning

wang

2024

Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023)

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“…Efficient lighting schemes are usually regarded as cost-effective, providing significant amounts of energy savings, especially in industrial installations, even when replacing the already efficient CFL bulbs (Paul, Kamath, and Mathew 2017). When coupled with automation systems, the environmental impact can be maximised (Ożadowicz and Grela 2018).…”

Section: Application Of the Modelmentioning

confidence: 99%

A multi-criteria decision support framework for assessing seaport sustainability planning: the case of Piraeus

Koasidis

Νίκας

Daniil

et al. 2022

Maritime Policy & Management

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Seaports will play a pivotal role in the low-carbon transition of maritime shipping, the policy landscape in which is currently being shaped. In this context, we introduce a multi-criteria decision support framework for seaport sustainability planning, to identify the competitiveness of interventions under uncertainty and evaluate the direction of the sector's policy context in terms of required actions. The framework, based on the 2-tuple TOPSIS model, heterogeneous variables, and a Monte Carlo robustness analysis, is empirically applied to the port of Piraeus, Greece, to explore the most competitive interventions and their vulnerability to uncertainties. To inform port authorities and policymakers in the sector, we emphasise the added value of selected, inexpensive actions for energy efficiency and hybrid mobility. Furthermore, we find costly and seemingly obligatory actions under current European legislation, like cold ironing and LNG, to be robust and in the right direction if perception of non-financial risks is reduced.

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Developments and trends in emergency lighting systems: from energy-efficiency to zero electrical power consumption

Abdelmoumene,

Bentarzi,

Iqbal

et al. 2024

Life Cycle Reliab Saf Eng

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Economic analysis of an energy efficient LED based lighting scheme for a pharmaceutical industry

Cited by 5 publications

References 3 publications

Optimising the computational and cost efficiency of hierarchical federated edge learning

Optimising the computational and cost efficiency of hierarchical federated edge learning

A multi-criteria decision support framework for assessing seaport sustainability planning: the case of Piraeus

Developments and trends in emergency lighting systems: from energy-efficiency to zero electrical power consumption

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