The Environmental Impact of Online Education

Tomar, Manjusha; Tomar, Ashwin

doi:10.1201/9781003272823-4

Cited by 2 publications

(2 citation statements)

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“…Inspired by the bi-directional ConvLSTM U-Net with the densely connected convolution by Azad et al [20], the experiment is conducted by passing the tensor to the ConvLSTM layer after merging encoder and decoder blocks with the skip connection. The idea behind using the ConvLSTM between the encoder and decoder is to capture the temporal information from a continuous video input, and also to act as a mechanism to learn non-linear representation shared among encoding and decoding paths.…”

Section: U-net With Mobilenetv3 As Backbone and Convlstm (U-net Mobil...mentioning

confidence: 99%

Background Replacement in Video Conferencing

Shahi¹,

Li²

2023

IJNDI

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Article Background Replacement in Video Conferencing Kiran Shahi *, and Yongmin Li 1 Department of Computer Science, Brunel University London, Uxbridge, UB8 3PH, United Kingdom * Correspondence: 2144420@alumni.brunel.ac.uk Received: 17 March 2023 Accepted: 24 April 2023 Abstract: Background replacement is one of the most used features in video conferencing applications by many people, perhaps mainly for privacy protection, but also for other purposes such as branding, marketing and promoting professionalism. However, the existing applications in video conference tools have serious limitations. Most applications tend to generate strong artefacts (while there is a slight change in the perspective of the background), or require green screens to avoid such artefacts, which results in an unnatural background or even exposes the original background to other users in the video conference. In this work, we aim to study the relationship between the foreground and background in real-time videos. Three different methods are presented and evaluated, including the baseline U-Net, the lightweight U-Net MobileNet, and the U-Net MobileNet&ConvLSTM models. The above models are trained on public datasets for image segmentation. Experimental results show that both the lightweight U-Net MobileNet and the U-Net MobileNet& ConvLSTM models achieve superior performance as compared to the baseline U-Net model.

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Section: U-net With Mobilenetv3 As Backbone and Convlstm (U-net Mobil...mentioning

confidence: 99%

Background Replacement in Video Conferencing

Shahi¹,

Li²

2023

IJNDI

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“…Different technologies use different architecture and it is one of the major differences that differentiates them between one another. ZigBee technology is an IEEE 802.15.4 based shortrange communication technology which uses a four-layer architecture [2,18,19]. ZigBee consumes very less power, operates over a small distance and used in smart home and smart meters.…”

Section: Iot Communication Technologiesmentioning

confidence: 99%

Exploring Data Security and Privacy Issues in Internet of Things Based on Five-Layer Architecture

Patchmuthu

Wan

Suhaili

2022

Int. j. commun. netw. inf. secur.

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Data Security and privacy is one of the serious issues in internet-based computing like cloud computing, mobile computing and Internet of Things (IoT). This security and privacy become manifolded in IoT because of diversified technologies and the interaction of Cyber Physical Systems (CPS) used in IoT. IoTs are being adapted in academics and in many organizations without fully protecting their assets and also without realizing that the traditional security solutions cannot be applied to IoT environment. This paper explores a comprehensive survey of IoT architectures, communication technologies and the security and privacy issues of them for a new researcher in IoT. This paper also suggests methods to thwart the security and privacy issues in the different layers of IoT architecture.

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The Environmental Impact of Online Education

Cited by 2 publications

References 0 publications

Background Replacement in Video Conferencing

Background Replacement in Video Conferencing

Exploring Data Security and Privacy Issues in Internet of Things Based on Five-Layer Architecture

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