A new adaptive co-site broadband interference cancellation method with auxiliary channel

Jiang, Yunhao; Liu, Siqi; Li, Minyang; Zhao, Nan; Wu, Minghu

doi:10.1016/j.dcan.2022.10.025

Cited by 45 publications

(11 citation statements)

References 14 publications

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“…Vice versa false positive ratio (FPR) is calculated as given in the below Eqs. (13) – (22) ( Jiang et al, 2022 ; Jiang & Li, 2022 ; Zhang et al, 2022b ). The error rate is given below: Table 3 presents the accuracy comparison on various datasets as shown.…”

Section: Resultsmentioning

confidence: 99%

VIOLA jones algorithm with capsule graph network for deepfake detection

Venkatachalam

Trojovský

Hubálovský

2023

PeerJ Computer Science

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DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces. Moreover, the capability of current methods to detect fake faces is minimal. Many recent types of research have made the fake detection algorithm from rule-based to machine-learning models. However, the emergence of deep learning technology with intelligent improvement motivates this specified research to use deep learning techniques. Thus, it is proposed to have VIOLA Jones’s (VJ) algorithm for selecting the best features with Capsule Graph Neural Network (CN). The graph neural network is improved by capsule-based node feature extraction to improve the results of the graph neural network. The experiment is evaluated with CelebDF-FaceForencics++ (c23) datasets, which combines FaceForencies++ (c23) and Celeb-DF. In the end, it is proved that the accuracy of the proposed model has achieved 94.

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Section: Resultsmentioning

confidence: 99%

VIOLA jones algorithm with capsule graph network for deepfake detection

Venkatachalam

Trojovský

Hubálovský

2023

PeerJ Computer Science

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“…A small value of the S 11 parameter guarantees that the antenna efficiently emits the majority of the transmitted power, preventing it from being wasted as reflected power. As a consequence, the overall efficacy of the system is enhanced, interference is reduced, and signal strength is increased [31].…”

Section: Design and Modellingmentioning

confidence: 99%

Compact and high gain cup-shaped 4-Port MIMO antenna using low profile material for the sub-6 GHz, IoT and military applications

Kannan,

Taher,

Sree

et al. 2024

Phys. Scr.

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The article introduces a novel design of a miniaturised and high-gain 4-Port MIMO antenna ingeniously crafted as a cup. The evolution of the radiating structure, achieved through meticulous iterations involving alterations to the patch element's shape and feedline modifications, underscores the commitment to optimal performance. Leveraging parametric analysis, which includes strategic adjustments to the ground layer's length, incorporation of vertical and horizontal slots, and the addition of a parasitic patch in the top layer, our proposed framework spans the spectrum from 1 GHz to 14 GHz. The antenna exhibits a tripartite frequency response at 4.6 GHz, 8.7 GHz, and 13 GHz, showcasing a peak bandwidth of 5.5 GHz and a minimum return loss of -24.22 dB. Remarkably, the design achieves a peak gain of 8.32 dB, coupled with stellar performance in diverse parameters such as ECC, MEG, TARC, CCL, and DG. Constructed with low-profile FR4 material, the antenna thoroughly compares simulated and measured results, affirming its robust performance. This innovative architecture, poised for Sub6GHz, IoT, and military applications.

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“…Due to the specific process of topology formation and the establishment of secure transmission channels between nodes, it is necessary to pre-assign keys to nodes before their deployment. This pre-assignment helps to reduce unnecessary communication overhead that would arise during key assignment while establishing secure transmission channels between neighboring nodes ( Farjamnia, Gasimov & Kazimov, 2019 ; Jiang et al, 2022 ). In this study, we have adopted the key distribution scheme proposed in Eschenauer & Gligor (2002) , which involves three steps: (1) Key pre-distribution phase: During this phase, a key pool is generated based on the size of the network.…”

Section: Dadie Algorithmmentioning

confidence: 99%

Data aggregation algorithm for wireless sensor networks with different initial energy of nodes

Liu,

Zhang,

Liu

et al. 2024

PeerJ Computer Science

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Data aggregation plays a critical role in sensor networks for efficient data collection. However, the assumption of uniform initial energy levels among sensors in existing algorithms is unrealistic in practical production applications. This discrepancy in initial energy levels significantly impacts data aggregation in sensor networks. To address this issue, we propose Data Aggregation with Different Initial Energy (DADIE), a novel algorithm that aims to enhance energy-saving, privacy-preserving efficiency, and reduce node death rates in sensor networks with varying initial energy nodes. DADIE considers the transmission distance between nodes and their initial energy levels when forming the network topology, while also limiting the number of child nodes. Furthermore, DADIE reconstructs the aggregation tree before each round of data transmission. This allows nodes closer to the receiving end with higher initial energy to undertake more data aggregation and transmission tasks while limiting energy consumption. As a result, DADIE effectively reduces the node death rate and improves the efficiency of data transmission throughout the network. To enhance network security, DADIE establishes secure transmission channels between transmission nodes prior to data transmission, and it employs slice-and-mix technology within the network. Our experimental simulations demonstrate that the proposed DADIE algorithm effectively resolves the data aggregation challenges in sensor networks with varying initial energy nodes. It achieves 5–20% lower communication overhead and energy consumption, 10–20% higher security, and 10–30% lower node mortality than existing algorithms.

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A new adaptive co-site broadband interference cancellation method with auxiliary channel

Cited by 45 publications

References 14 publications

VIOLA jones algorithm with capsule graph network for deepfake detection

VIOLA jones algorithm with capsule graph network for deepfake detection

Compact and high gain cup-shaped 4-Port MIMO antenna using low profile material for the sub-6 GHz, IoT and military applications

Data aggregation algorithm for wireless sensor networks with different initial energy of nodes

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