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Yuan Ren, Yixuan Tan, Meruyert Makhanbet and Xuewei Zhang
Non-orthogonal multiple access (NOMA) and wireless energy harvesting are two promising technologies for improving spectral efficiency and energy efficiency, respectively. In this paper, we study the physical layer security of a wireless-powered full-dupl...
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Paulo Henrique Trombetta Zannin, Eriberto Oliveira Do Nascimento, Elaine Carvalho Da Paz and Felipe Do Valle
In the modern world, noise pollution continues to be a major problem that impairs people’s health, and road traffic is a primary contributor to noise emissions. This article describes an environmental impact study of the noise generated by the reco...
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Paulo Henrique Trombetta Zannin, Eriberto Oliveira Do Nascimento, Elaine Carvalho Da Paz and Felipe Do Valle
In the modern world, noise pollution continues to be a major problem that impairs people’s health, and road traffic is a primary contributor to noise emissions. This article describes an environmental impact study of the noise generated by the reco...
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Paulo Henrique Trombetta Zannin, Eriberto Oliveira Do Nascimento, Elaine Carvalho Da Paz and Felipe Do Valle
In the modern world, noise pollution continues to be a major problem that impairs people’s health, and road traffic is a primary contributor to noise emissions. This article describes an environmental impact study of the noise generated by the reco...
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Dandan Guo, Baogang Li and Wei Zhao
In this paper, a new approach is proposed to solve the constrained optimization problem of saving grid energy and increasing safety in a simultaneous wireless information and power transfer (SWIPT) system. The traditional grid energy is combined with the...
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Fuyang Tian, Xinwei Wang, Sufang Yu, Ruixue Wang, Zhanhua Song, Yinfa Yan, Fade Li, Zhonghua Wang and Zhenwei Yu
Existing push robots mainly use magnetic induction technology. These devices are susceptible to external electromagnetic interference and have a low degree of intelligence. To make up for the insufficiency of the existing material pushing robots, and at ...
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David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra and Robertas Dama?evicius
The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of this endemic. Conventional techniques used to determine the epidemiology of COVID-19 are slow and...
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Nikolaos M. Papadakis, Smaro Antoniadou and Georgios E. Stavroulakis
Typically, background noise of different types and levels is present during the measurement of the impulse response in spaces. The two methods that are, in practice, most frequently used in the measurement of the impulse response, are the exponential sin...
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Rajesh P,Murugan A,Murugamantham B,Ganesh Kumar S
Pág. pp. 189 - 203
Cancer has become very common in this evolving world. Technology advancements, increased radiations have made cancer a common syndrome. Various types of cancers like Skin Cancer, Breast Cancer, Prostate Cancer, Blood Cancer, Colorectal cancer, Kidney Can...
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Timothy Sands
Objects that possess mass (e.g., automobiles, manufactured items, etc.) translationally accelerate in direct proportion to the force applied scaled by the object?s mass in accordance with Newton?s Law, while the rotational companion is Euler?s moment equ...
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Alessandro Massaro
In the proposed paper, an artificial neural network (ANN) algorithm is applied to predict the electronic circuit outputs of voltage signals in Industry 4.0/5.0 scenarios. This approach is suitable to predict possible uncorrected behavior of control circu...
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Mark A. Denisenko, Alina S. Isaeva, Alexander S. Sinyukin and Andrey V. Kovalev
The fast, convenient, and accurate determination of railroad cars? load mass is critical to ensure safety and allow asset counting in railway infrastructure. In this paper, we propose a method for modeling the mechanical deformations that occur in the ra...
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Behzad Amirsalari and Joana Rocha
Airflow-induced noise prediction and reduction is one of the priorities for both the energy and aviation industries. This review paper provides valuable insights into flow-induced noise computation, prediction, and optimization methods with state-of-the-...
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Li He, Qian Zhang, Jianyong Duan and Hao Wang
Open-domain event extraction is a fundamental task that aims to extract non-predefined types of events from news clusters. Some researchers have noticed that its performance can be enhanced by improving dependency relationships. Recently, graphical convo...
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Sirui Shen, Daobin Zhang, Shuchao Li, Pengcheng Dong, Qing Liu, Xiaoyu Li and Zequn Zhang
Heterogeneous graph neural networks (HGNNs) deliver the powerful capability to model many complex systems in real-world scenarios by embedding rich structural and semantic information of a heterogeneous graph into low-dimensional representations. However...
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Dechuan Chen, Jin Li, Jianwei Hu, Xingang Zhang and Shuai Zhang
In this work, we exploit a multi-antenna cooperative jammer to enable secure short packet communications in Internet of Things (IoT) networks. Specifically, we propose three jamming schemes to combat eavesdropping, i.e., the zero forcing beamforming (ZFB...
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Daniel Gabriel Dinu,Andreea Stoian-Karadeli,Adrian Doroiman,Larisa Mihoreanu
Pág. 16 - 23
The today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.The easy and open accesses to information thrust forward the frontiers of development and communication, e...
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Daniel Gabriel Dinu,Andreea Stoian-Karadeli,Adrian Doroiman,Larisa Mihoreanu
Pág. 16 - 23
The today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.The easy and open accesses to information thrust forward the frontiers of development and communication, e...
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Janaína Lemos, Pedro D. Gaspar and Tânia M. Lima
This paper addresses the design of a system to facilitate individual environmental risk assessment and long-term risk management in the Industry 4.0 work context. The solution is based on IoT to provide data related to workers? exposure to hazardous agen...
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Maria Michalska, Jakub Michalski, Pawel Grzes and Jacek Swiderski
We demonstrate a thulium-doped, mode-locked, all-fiber laser capable of operating in two generation regimes: dispersion-managed soliton and noise-like pulse (NLP). Employing a nonlinear optical loop mirror as an artificial saturable absorber, the oscilla...
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