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8th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2020

作者： Amerini, Irene Caldelli, Roberto Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy Parma Italy Mercatorum University Rome Italy

ISBN: (纸本)9781450370509

The ability of artificial intelligence techniques to build synthesized brand new videos or to alter the facial expression of already existing ones has been efficiently demonstrated in the literature. The identification of such new threat generally known as Deepfake, but consisting of different techniques, is fundamental in multimedia forensics. In fact this kind of manipulated information could undermine and easily distort the public opinion on a certain person or about a specific event. Thus, in this paper, a new technique able to distinguish synthetic generated portrait videos from natural ones is introduced by exploiting inconsistencies due to the prediction error in the re-encoding phase. In particular, features based on inter-frame prediction error have been investigated jointly with a Long Short-Term Memory (LSTM) model network able to learn the temporal correlation among consecutive frames. Preliminary results have demonstrated that such sequence-based approach, used to distinguish between original and manipulated videos, highlights promising performances. © 2020 ACM.

关键词： Long short-term memory

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Enabling Smart Agriculture in Nigeria: Application of Digital-Twin Technology 1

Enabling Smart Agriculture in Nigeria: Application of Digita...

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1st International Conference on Multidisciplinary engineering and Applied Science, ICMEAS 2021

作者： Elijah, Olakunle Rahim, Sharul Kamal A. Emmanuel, Abioye Abiodun Salihu, Yahaya Otuoze Usman, Zubair Gatugel Jimoh, Adinoyi Momoh Wireless Communication Center School of Electrical Engineering University of Technology Malaysia Johor Bahru Malaysia School of Electrical Engineering University of Technology Malaysia Control and Mechatronics Engr. Dept. Johor Bahru Malaysia Kaduna Polytechnic Computer Engineering Department Kaduna Nigeria Saudi Telecommunication Company Riyadh Saudi Arabia

ISBN: (纸本)9781665434935

The digital twin (DT) is an emerging technology and one of the industry 4.0 technologies. The research in the application of DT in agriculture is currently attracting research interest. In this paper, we provide an overview of DT and discuss possible areas in which it can enable smart agriculture in Nigeria. The benefits and challenges of deploying the DT are also presented. Finally, methods that can be adopted in the application of DT towards solving the problems facing Nigeria's agriculture sector are proposed. © 2021 IEEE.

关键词： Agriculture

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Improving super-resolution performance using meta-attention layers

arXiv

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arXiv 2021年

作者： Aquilina, Matthew Galea, Christian Abela, John Camilleri, Kenneth P. Farrugia, Reuben A. Dept. of Communications & Computer Engineering Faculty of ICT University of Malta UM Msida Malta Malta Deanery of Molecular Genetic & Population Health Sciences University of Edinburgh Scotland Edinburgh United Kingdom Dept. of Communications & Computer Engineering Faculty of ICT UM Dept. of Computer Information Systems Faculty of ICT UM Dept. of Systems & Control Engineering Faculty of Engineering UM

Convolutional Neural Networks (CNNs) have achieved impressive results across many super-resolution (SR) and image restoration tasks. While many such networks can upscale low-resolution (LR) images using just the raw pixel-level information, the ill-posed nature of SR can make it difficult to accurately super-resolve an image which has undergone multiple different degradations. Additional information (metadata) describing the degradation process (such as the blur kernel applied, compression level, etc.) can guide networks to super-resolve LR images with higher fidelity to the original source. Previous attempts at informing SR networks with degradation parameters have indeed been able to improve performance in a number of scenarios. However, due to the fully-convolutional nature of many SR networks, most of these metadata fusion methods either require a complete architectural change, or necessitate the addition of significant extra complexity. Thus, these approaches are difficult to introduce into arbitrary SR networks without considerable design alterations. In this paper, we introduce meta-attention, a simple mechanism which allows any SR CNN to exploit the information available in relevant degradation parameters. The mechanism functions by translating the metadata into a channel attention vector, which in turn selectively modulates the network’s feature maps. Incorporating meta-attention into SR networks is straightforward, as it requires no specific type of architecture to function correctly. Extensive testing has shown that meta-attention can consistently improve the pixel-level accuracy of state-of-the-art (SOTA) networks when provided with relevant degradation metadata. Despite average memory/runtime overheads of less than ≈2.6%/0.025 seconds for the datasets and models considered, meta-attention improves the performance for both PSNR and SSIM;for PSNR, the gain on blurred/downsampled (×4) images is of 0.2969 dB (on average) and 0.3320 dB for SOTA general and f

关键词： Image reconstruction

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Classification System Based on Data Mining Technique for Flat-Colored Textiles

SSRN

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SSRN 2025年

作者： Zhou, Min Lin, Yukai Hu, Wei Dai, Chai Tang, Guangfa He, Fei School of Information and Intelligent Engineering Guangzhou xinhua University Dongguan China School of Intelligent Control Hunan Railway Professional Technology College Zhuzhou China College of Electrical and Electrical Engineering Hunan University Changsha China Dept. of Pingdingshan Branch of China Mobile Communication Group Henan co. LTD Henan Pingdingshan China Dept.of Physics Electrical and Intelligent Manufacturing Huaihua University Changsha China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

Manual visual inspection for defect detection in manufacturing can lead to high false positive rates. This paper compares data mining techniques for the binary classification of defects in flat products in a relatively open scenario. The background provides context on research into data mining-based detection. The methodology is divided into five sections: data collection, selection, preprocessing and transformation, classification, and model evaluation. Each section details the techniques applied, tailored to the application context, with specifying examples. Experiments apply real-world data sets self-collected from production lines. Statistics like prediction accuracy are generated by established data mining evaluation algorithms. Results indicate the efficacy of data mining for automated defect detection over manual approaches. Finally, conclusions summarize findings and discuss the limitations of the current research and planned future work to address the drawbacks. Overall, the formalized methodology and supportive experimental results demonstrate both the viability and potential areas of improvement for data mining in manufacturing quality control. © 2025, The Authors. All rights reserved.

关键词： Data accuracy

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Convex neural network synthesis for robustness in the 1-norm

arXiv

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arXiv 2024年

作者： Drummond, Ross Guiver, Chris Turner, Matthew C. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom School of Computing Engineering & the Built Environment Edinburgh Napier University EdinburghEH10 5DT United Kingdom School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off has to be navigated. To address this issue, this paper proposes a method to generate an approximation of a neural network which is certifiably more robust. Crucially, the method is fully convex and posed as a semi-definite programme. An application to robustifying model predictive control is used to demonstrate the results. The aim of this work is to introduce a method to navigate the neural network robustness/accuracy trade-off. © 2024, CC BY.

关键词： Model predictive control

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Numerical approach to design of low frequency magnetic field irradiation system for lab on chip experiments

Numerical approach to design of low frequency magnetic field...

引用

ELEKTRO

作者： Roman Radil Marek Bajtoš Lucia Č arnecká Klaudia Hargaš ová Patrik Kamencay Department of Electromagnetic and Biomedical Engineering University of Zilina Zilina Slovakia Department of Systems Biology and Engineering Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Dept. of Electromagnetic and Biomedical Engineering Organization University of Zilina Zilina Slovakia

ISBN: (数字)9781665467261

ISBN: (纸本)9781665467278

The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments.

关键词： Radiation effects Numerical models Magnetic fields Electromagnetics

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Grid-following three-phase inverter with RMS current-limiting property 12

Grid-following three-phase inverter with RMS current-limitin...

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12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2020

作者： Skentzos, Panagiotis Konstantopoulos, George C. Dept. of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Dept. of Electrical and Computer Engineering University of Patras Rio26504 Greece

ISBN: (纸本)9781839535635

A novel nonlinear controller that inherently limits the RMS value of a three-phase grid-following inverter current is presented in this paper. Using the dynamic model of the inverter in the rotating dq reference frame, a nonlinear control scheme is formulated to ensure accurate real and reactive power regulation with RMS current limitation that avoids the use of saturation units with upper/lower limit adaptation, as commonly used in the existing approaches. In particular, it is analytically proven by using fundamental nonlinear systems theory, that the RMS value of the inverter current will never violate a given maximum value, both during the transient response and at the steady-state. Moreover, a detailed root locus analysis is provided to guarantee the asymptotic stability of the desired equilibrium point for the closed-loop system. Finally, to validate the proposed controller performance, simulation results of a grid-following three-phase inverter equipped with the proposed control approach are presented under both normal and unrealistic values of the real and reactive power setpoints. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Asymptotic stability

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Dynamic Time-Threshold Based Receive Buffer for Vehicle-to-Cloud Multipath Transmission

Dynamic Time-Threshold Based Receive Buffer for Vehicle-to-C...

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2020 International Conference on Computing, Networking and Communications, ICNC 2020

作者： Zhang, Yuyang Dong, Ping Du, Xiaojiang Luo, Hongbin Zhang, Hongke Guizani, Mohsen Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety China Beijing Jiaotong University School of Electronic and Information Engineering China Temple University Dept. of Computer and Information Sciences United States Beihang University School of Computer Science and Engineering China Qatar University Dept. of Computer Science and Engineering Qatar

ISBN: (纸本)9781728149059

Vehicle-to-cloud is a network access model that aims to share computing resources for vehicles. In vehicle-to-cloud communication, reliable links are critical. Through multipath transmission, comprehensive utilization of heterogeneous wireless networks between the vehicle and the cloud server can effectively improve the reliability and efficiency of transmission. A large number of studies have pointed out that a receive butter can greatly improve the performance of multipath transmission in vehicle-to-cloud communication. However, most of these studies, which use receive buffers to improve multipath transmission performance, do not explicitly specify the design details of the receive butter. A classic design idea is to use a fixed length receive butter. However, this idea makes it difficult to determine the appropriate butter length in a complex vehicle-to-cloud communication scenario. This paper proposes a Dynamic Time-Threshold (DTT) receive buffer. The DTT receive buffer takes into account the instability of vehicular wireless networks, and dynamically adjusts the time-threshold so that the packets in the receive butter do not affect the overall communication performance due to premature departure or excessive waiting. We verified the performance of the DTT receive butter through a large number of simulations and real tests. By comparison, the performance of DTT receive butter is significantly better than the fixed length receive butter. © 2020 IEEE.

关键词： Network coding

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Optimal Sliding Mode control of Single Arm PAM-Actuated Manipulator

Optimal Sliding Mode Control of Single Arm PAM-Actuated Mani...

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11th IEEE International Conference on System engineering and Technology, ICSET 2021

作者： Sadiq, Musaab Esam Humaidi, Amjad Jaleel Kadhim, Saleem Khalefa Mhdawi, Ammar Al Alkhayyat, Ahmed Ibraheem, Ibraheem Kasim General Company for Grain Processing Ministry of Trade Baghdad Iraq University of Technology Control and Systems Eng. Dept. Baghdad Iraq Edge Hill University Department of Computer Science United Kingdom College of Technical Engineering Islamic University Najaf Iraq College of Engineering University of Baghdad Baghdad Iraq

ISBN: (纸本)9781665437660

The manipulators actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of control design for trajectory tracking of PAM-Actuated manipulator based on Sliding Mode control (SMC). The PSO technique is used to tune the design parameters of proposed controller for further enhancement of controlled PAM system performance. A comparison study has been conducted between the optimal and non-optimal SMC controllers via computer simulation using MATLAB programming software. © 2021 IEEE.

关键词： Trajectory tracking System performance Programming Muscles Manipulators Systems engineering and theory Numerical simulation

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Comparative Study of Optimal Nonlinear control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle

Comparative Study of Optimal Nonlinear Control Schemes for H...

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11th IEEE International Conference on System engineering and Technology, ICSET 2021

作者： Sadiq, Musaab Esam Humaidi, Amjad Jaleel Kadhim, Saleem Khalefa Mahdi, Abdulkareem Sh. Alkhayyat, Ahmed Ibraheem, Ibraheem Kasim General Company for Grain Processing Ministry of Trade Baghdad Iraq University of Technology Control and Systems Eng. Dept. Baghdad Iraq School of Computer Science and Eng. Taylor's University Malaysia College of Technical Engineering Islamic University Najaf Iraq College of Engineering University of Baghdad Baghdad Iraq

ISBN: (纸本)9781665437660

The systems actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time-varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these challenging control problems. This work presents the development of new control design for trajectory tracking of PAM-Actuated manipulator based on Sliding Mode control (SMC), Backstepping Sliding Mode control (BSMC). The control laws of controlled PAM hanging mass based on SMC and BSMC have been developed according to Lyapunov stability analysis. Additionally, the PSO technique is used to tune the design parameters of proposed controllers for further enhancement of controlled PAM system performance. A comparison study has been conducted among the proposed controllers via computer simulation using MATLAB/Simulink programming software. © 2021 IEEE.

关键词： Trajectory tracking System performance Muscles Programming Systems engineering and theory Software Nonlinear dynamical systems

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