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International Conference on engineering Technology and their Applications (IICETA)

作者： Sami Abduljabbar Rashid Ahmed Jamal Ahmed Mustafa Hamid Hassan Ali Hashim Abbas Mohammed I. Habelalmateen Mohammed Ahmed Jubair L. Audah Waleed Al-Azzawi Department of Computer Engineering Techniques Al-Maarif University College Al-Anbar Iraq Department of Computer Technical engineering College of Information Technology Imam Ja’afar Al-Sadiq University Al-Muthanna Iraq Department of Computer Technical Engineering College of Technical Engineering Islamic University Najaf Iraq Wireless and Radio Science Centre (WARAS) Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Malaysia Medical technical college Al-Farahidi University Baghdad Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

Internet of Things (IoT) is widely involved in environmental monitoring. IoT network has a limited energy supply which impacts the network’s lifetime. At present, limited energy is a challenging factor due to limited energy availability. IoT performance is improved with the RPL routing protocol for effective route establishment. With an effective energy harvesting scheme IoT network, residual energy can be improved. Typically, energy harvesting with conventional RPL routing protocol is ineffective. To withstand the limitation associated with energy harvesting in IoT networks with the incorporation of RPL routing is essential. To achieve this, this paper presented an Energy Harvesting Ranked Whale optimization (EHRWO) is developed. Initially, the proposed model utilizes the optimal route establishment with EHRWO with improved security. The operation of EHRWO is performed for static and dynamic operation of the network. The developed work estimates the node energy, harvest energy, routing performance, and distance. Based on the optimization of the whale optimal path is estimated for the transmission of data. With a ranking based approach optimal path for data transmission will be computed. The simulation results expressed the proposed work performance of the parameters such as energy consumption and packet delivery ratio.

关键词： Energy consumption Wireless sensor networks Estimation Whales Routing Routing protocols Whale optimization algorithms

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E-3DGS: Gaussian Splatting with Exposure and Motion Events

arXiv

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arXiv 2024年

作者： Yin, Xiaoting Shi, Hao Bao, Yuhan Bing, Zhenshan Liao, Yiyi Yang, Kailun Wang, Kaiwei State Key Laboratory of Modern Optical Instrumentation Zhejiang University China School of Robotics National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China College of Information Science and Electronic Engineering Zhejiang University China The Chair of Robotics AI and Real-Time Systems Technical University of Munich Germany

Estimating Neural Radiance Fields (NeRFs) from images captured under optimal conditions has been extensively explored in the vision community. However, robotic applications often face challenges such as motion blur, insufficient illumination, and high computational overhead, which adversely affect downstream tasks like navigation, inspection, and scene visualization. To address these challenges, we propose E-3DGS, a novel event-based approach that partitions events into motion (from camera or object movement) and exposure (from camera exposure), using the former to handle fast-motion scenes and using the latter to reconstruct grayscale images for high-quality training and optimization of event-based 3D Gaussian Splatting (3DGS). We introduce a novel integration of 3DGS with exposure events for high-quality reconstruction of explicit scene representations. Our versatile framework can operate on motion events alone for 3D reconstruction, enhance quality using exposure events, or adopt a hybrid mode that balances quality and effectiveness by optimizing with initial exposure events followed by high-speed motion events. We also introduce EME-3D, a real-world 3D dataset with exposure events, motion events, camera calibration parameters, and sparse point clouds. Our method is faster and delivers better reconstruction quality than event-based NeRF while being more cost-effective than NeRF methods that combine event and RGB data by using a single event sensor. By combining motion and exposure events, E-3DGS sets a new benchmark for event-based 3D reconstruction with robust performance in challenging conditions and lower hardware demands. The source code and dataset will be available at https://***/MasterHow/E-3DGS. Copyright © 2024, The Authors. All rights reserved.

关键词： Gaussian distribution

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On the Output Redundancy of LTI Systems: A Geometric Approach with Application to Privacy

arXiv

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arXiv 2024年

作者： Yang, Guitao Gallo, Alexander J. Barboni, Angelo Ferrari, Riccardo M.G. Serrani, Andrea Parisini, Thomas The Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom The Delft Centre for Systems and Control Technical University of Delft Delft Netherlands The Zurich Insurance Group Zurich Switzerland The Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43210 United States The Department of Electronic Systems Aalborg University Denmark The Department of Engineering and Architecture University of Trieste Italy

This paper examines the properties of output-redundant systems, that is, systems possessing a larger number of outputs than inputs, through the lenses of the geometric approach of Wonham et al. We begin by formulating a simple output allocation synthesis problem, which involves "concealing" input information from a malicious eavesdropper having access to the system output, while still allowing for a legitimate user to reconstruct it. It is shown that the solvability of this problem requires the availability of a redundant set of outputs. This very problem is instrumental to unveiling the fundamental geometric properties of output-redundant systems, which form the basis for our subsequent constructions and results. As a direct application, we demonstrate how output allocation can be employed to effectively protect the information of input information from certain output eavesdroppers with guaranteed results. Copyright © 2024, The Authors. All rights reserved.

关键词： Mobile telecommunication systems

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A Look at The 3GPP Standard’s Current Positioning of 5G Networks

A Look at The 3GPP Standard’s Current Positioning of 5G Net...

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Communication and Information Technology (AICCIT), Al-Sadiq International Conference on

作者： Mohammed S. Khalaf Aeizaal Azman A. Wahab Haider A Al-Wzwazy Ahmed Salih Al-Khaleefa Murtadha A. Alazzawi Mohammed Almohamadi School of Electrical & Electronic Engineering Universiti Sains Malaysia Pulau Pinang Malaysia Halfaya Oilfield Division Maysan Iraq Department of Physics Faculty of Education University of Misan Maysan Iraq Department of Computer Techniques Engineering Imam Al-Kadhum College (IKC) Baghdad Iraq Department of Computer Technical Engineering College of Information Technology Imam Ja’afar Al-Sadiq University Al-Muthanna Iraq

Here, we depict the ongoing 3GPP Delivery 16 particularly for situating in 5G organizations, which is currently being developed. To address the issues of an extensive variety of administrative, business, and modern use cases, the detail indicates situating signals, estimations, methods, and framework engineering. Accordingly, when contrasted with what was beforehand conceivable with LTE, 5G essentially advances situating capacities. Utilizing 3GPP reenactment situations that have been settled upon, the demonstrative situating execution is assessed, and it is found that the 90 percentile precision goes from a couple of meters to a couple of decimeters, contingent upon the procedures and suppositions utilized.

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A review on vehicle-to-infrastructure communication system: Requirement and applications 3

A review on vehicle-to-infrastructure communication system: ...

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3rd International Conference on engineering Technology and its Applications, IICETA 2020

作者： Malik, Ramy Q. Ramli, Khairun. N. Kareem, Z.H. Habelalmatee, Mohammed I. Abbas, H. Universiti Tun Hussein Onn Malaysia Department of Electronic Engineering Faculty of Electrical and Electronic Engineering Parit Raja86400 Malaysia Al-Mustaqbal University Computer Techniques Engineering Department Hillah51001 Iraq The Islamic University Department of Computer Technical Engineering College of Technical Engineering Najaf54001 Iraq Communication Engineering Techniques Imam Jaafar Alsadiq University Najaf Iraq

ISBN: (纸本)9781728182315

The field of vehicular communication technology is rapidly developing. vehicular communication technologies provide great social benefits such as reduced road accident and increased road efficiency. To improve traffic safety and provide drivers with the best end-to-end transportation experience, vehicles need to be more automated which is the most important goals of modern vehicular communication technologies. Utilizing Vehicle-to- Infrastructure communication (V2I) may be a keystone to enhance and promote the various vehicular communications applications. By the exchange of information between vehicles and road infrastructures, drivers will have more ability to predict and avoid various road hazard and thus make driving experience much safer. In this paper, we will focus on the study of the main requirement and component in V2I systems and present a review of the major V2I benefits related to safety and mobility applications. © 2020 IEEE.

关键词： Vehicle safety

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Organic semiconductor production for solar cells applications using spin coating technique and nano powder graphene

引用

AIP Conference Proceedings 2023年第1期2457卷

作者： Dalya H. Abbas College of Electrical and Electronic Engineering Techniques-Middle Technical University Baghdad Iraq

This paper presents the organic semiconductor production for solar cells applications using spin coating technique and nano powder graphene. The organic solar cell (OSC) has attractive and important concentration during the last decade because of their simple processing and flexibility of substrate with large scale scope production. The development of organic solar cell performance and their duration constancy are one of major challenges faced by researcher's approaches in this field. This paper has been carried out the organic semiconductor which prepared and evaluated properly by using spin coating technique and different materials concentrations. The stability and efficiency of different weight P3HT, F8BT, corobenzine, and graphene based solar cell has been evaluated. The results shows important improvements were achieved to produce new organic semiconductor for solar cell applications.

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Risk-Averse Certification of Bayesian Neural Networks

arXiv

引用

arXiv 2024年

作者： Zhang, Xiyue Wang, Zifan Gao, Yulong Romao, Licio Abate, Alessandro Kwiatkowska, Marta Department of Computer Science University of Oxford United Kingdom Division of Decision and Control Systems KTH Royal Institute of Technology Sweden Department of Electrical and Electronic Engineering Imperial College London United Kingdom Department of Wind and Energy Systems Technical University of Denmark Denmark

In light of the inherently complex and dynamic nature of real-world environments, incorporating risk measures is crucial for the robustness evaluation of deep learning models. In this work, we propose a Risk-Averse Certification framework for Bayesian neural networks called RAC-BNN. Our method leverages sampling and optimisation to compute a sound approximation of the output set of a BNN, represented using a set of template polytopes. To enhance robustness evaluation, we integrate a coherent distortion risk measure—Conditional Value at Risk (CVaR)—into the certification framework, providing probabilistic guarantees based on empirical distributions obtained through sampling. We validate RAC-BNN on a range of regression and classification benchmarks and compare its performance with a state-of-the-art method. The results show that RAC-BNN effectively quantifies robustness under worst-performing risky scenarios, and achieves tighter certified bounds and higher efficiency in complex tasks. Copyright © 2024, The Authors. All rights reserved.

关键词： Risk assessment

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Analysis of the Operating Mode for the Photovoltaic Module by Experimental Methods

Analysis of the Operating Mode for the Photovoltaic Module b...

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IEEE NW Russia Young Researchers in Electrical and electronic engineering Conference (EIConRusNW)

作者： Hayder J. Mohammed Qays A. Ali Bishro H. Rasool Asra H. Al-Denenawe Institute of Energy Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia Department of Mechanical Engineering College of Engineering University of Misan Misan Iraq Department of Fuel and Energy College of Oil and Gas Techniques Engineering Northern Technical University Kirkuk Iraq Ministry of electricity Kurdistan region government Erbil Iraq Institute of Electronic and Telecommunications Peter the Great St. Petersburg Polytechnic University Saint Petersburg Russia Ministry of Construction Housing Municipalities and Public work Baghdad Iraq

conducting an experimental approach to improve the production of photovoltaic (PV) modules is important to raise the efficiency of the solar power system. Within the framework of this paper, the possibility of increasing the production of solar panels and optimizing their operation is considered by different conditions like irradiation, angle of incidence of light rays, temperature and load. In the Theoretical Electricity Laboratory at the Higher Voltage School, Institute of Energy, Peter the Great St. Petersburg Polytechnic University, several experiments were conducted on the laboratory solar station device (GalSen- NEE4-MFESE-N-R), which simulates the solar system as a model of a photovoltaic solar power plant.

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A Novel Millimeter-Wave Channel Measurement Platform for 6G Intelligent Railway Scenarios

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China Communications 2022年第11期19卷 60-73页

作者： Dan Fei Chen Chen Peng Zheng Dongsheng Zhang Jingya Yang Haoran Chen Bo Ai School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong UniversityBeijing 100044China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong UniversityBeijing 100044China Zhengzhou Railway Vocational and Technical College Zhengzhou 451460China Peng Cheng Laboratory Shenzhen 518055China

This paper presented a novel millimeterwave channel measurement platform for the 6G intelligent *** platform used phased array antenna with 64 elements and can support instant bandwidth up to 1 *** with improved multi-tone sounding signals,the platform can enhance dynamic measurement capability in high-speed railway *** performed calibration works about frequency flatness,frequency offset and proved platform reliability with channel emulator based closed-loop *** also carried out field trials in high-speed railway carriage *** on measurement results,we extracted channel characteristic parameters of path loss,power delay profile and delay spread to further verify the field measurement performance of the platform.

关键词： 6G millimeter-wave channel measurement phased array antenna high-speed railway

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One-Dimensional EEG Artifact Removal Network Based on Convolutional Neural Networks

Journal of Network Intelligence

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Journal of Network Intelligence 2024年第1期9卷 142-159页

作者： Xiong, Jun Meng, Xiang-Long Chen, Zhao-Qi Wang, Chuan-Sheng Zhang, Fu-Quan Grau, Antoni Chen, Yang Huang, Jing-Wei School of Computer and Data Science Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China College of Electronic Engineering Shandong University of Science and Technology No. 579 Qianwangang Road Huangdao District Qingdao China College of Computer and Big Data Fuzhou University Fuzhou University Town No. 2 Wulongjiang North Road Fuzhou China Department of Automatic Control Technical Polytechnic University of Catalonia Autonomous Region of Catalonia Barcelona Spain Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Fuzhou Technology Innovation Center of intelligent Manufacturing information System Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China Fujian Province University No. 1 Campus New Village Longjiang Street Fuqing China School of Mechanical and Automotive Engineering Fujian University of Technology No. 33 Xuefu South Road University New District Fuzhou China

The electroencephalogram (EEG) serves as a significant tool in the realms of clinical medicine, cerebral investigation, and neurological disorders research. However, the EEG records we obtain are often easily contaminated by various artifacts, which can blur or distort the underlying EEG signals and make data interpretation difficult. Generally speaking, removing EEG artifacts is considered an essential step in brain signal analysis. Therefore, removing artifacts is crucial for obtaining accurate and reliable EEG signals for subsequent analysis. Recently, deep learning techniques have found widespread application across various domains for denoising tasks, including image denoising and EEG denoising. Many advanced algorithms have been developed in image denoising, which has achieved good results in enhancing low-quality images. Moreover, it has shown superior performance in EEG denoising. In contrast, few people have devoted themselves to studying EEG denoising, and existing convolutional neural network EEG denoising methods still have problems of overfitting and poor denoising effect in Electromyograph(EMG) and ElectroOculoGram(EOG) artifact removal. Therefore, this paper proposes a method called DWINet (De-artifacting with Image-based Network for EEG Signals) based on an image dehazing network DRHNet for removing artifacts from EEG signals. Specifically, our approach DWINet, addresses the de-artifacting issue in EEG signals by converting it as an image dehazing problem and utilizes the image dehazing capability of DRHNet to enhance the denoising performance of EEG signals. Experimental results demonstrate that the proposed method outperforms the compared algorithms in removing the ocular artifact in EEG signals and exhibits higher accuracy and robustness. © 2024, J. Network Intell. All rights reserved.

关键词： Image enhancement

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