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Performance Evaluation of Converters used in G2V and V2G Modes of Operation
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
To enhance the reliability of supply, the V2G mode of operation is widely applied in electric vehicles. The V2G functionality is used to supply various services like regulation of active power demand, reactive power ...
Crowd counting Using DRL-based segmentation and RL-based density estimation
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
A Switched Capacitor-Based 13-Level Inverter With Reduced Switch Count
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
In this article, a 13-level switched capacitor multilevel inverters (SC-MLI) based single-phase inverter is proposed in which desired levels of output ac voltage are realized with reduced number of switch counts. The ...
PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Recent advances in digital imaging have meant that every smartphone has a video camera that can record high-quality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed ...
Incentive-based Resource Allocation for Mobile Edge Learning
(
IEEE
, 2022 , Conference Paper)
Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ...
A Broker-Based Manufacturing Supply Chain Integration with Blockchain: Managing Odoo Workflows Using Hyperledger Fabric Smart Contracts
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Nowadays, Blockchains are considered the go-to solution when it comes to secure and trust-ensuring platforms for critical data exchange. However, integrating this technology with existing systems is quite a challenging ...
Anomaly Detection in Blockchain-Enabled Supply Chain: An Ontological Approach
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
In our work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the ...
Blockchain-Based Lifecycle Approach towards a Secure Building Information Modelling (BIM) Workflow
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Data safety concerns are critical during the whole lifecycle of any built asset from the design stage until destruction. Information security in Building Information Modeling (BIM) enabled projects represents a key factor ...