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Beam divergence and operating wavelength bands effects on free space optics communication channels in local access networks

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Journal of Optical Communications 2023年第s1期44卷 S823-S831页

作者： Kumar Paul, Bikash Alatwi, Aadel M. Rashed, Ahmed Nabih Zaki Shahriar Parvez, Ahm Ahmed, Kawsar Department of Software Engineering Daffodil International University Sukrabad Dhanmondi Dhaka1207 Bangladesh Department of Information and Communication Technology Mawlana Bhashani Science and Technology University Tangail Santosh1902 Bangladesh Electrical Engineering Department Faculty of Engineering University of Tabuk Tabuk Saudi Arabia Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt Department of Computer Science and Engineering Bangladesh University 15/1 Iqbal Road Mohammadpur Dhaka1207 Bangladesh Department of Computer Science and Engineering Dhaka University of Engineering & Technology Gazipur Bangladesh Group of Bio-photomati Mawlana Bhashani Science and Technology University Tangail Santosh1902 Bangladesh

The paper outlines the divergence of beam and operating wavelength bands effects on free-space optics communication channels in local access networks. The max Q factor and min bit error rate are measured based on the divergence of beam and operating wavelength bands variations. The signal is tested also at the receiver side by using an optical power meter visualizer at various operating signal wavelength bands and under the optimum values of the divergence of the beam. The study has presented the optimum operating conditions for upgrading network operation efficiency. © 2023 Walter de Gruyter GmbH. All rights reserved.

关键词： Bit error rate

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Analyzing the Potential of Deep Learning for Enhancing Data Science Practices

Analyzing the Potential of Deep Learning for Enhancing Data ...

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Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Mercilin Raajini X Gopal B. Deshmukh Savita Prabha Jagtej Singh Ankita Agarwal Manu S E Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Computer Engineering Vishwakarma Institute of Information Technology Pune INDIA Department of Computer Science & Engineering Vivekananda Global University Jaipur India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Civil Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Ramnagar Karnataka India

Deep learning is a progressive new field of artificial intelligence that has drastically changed the landscape of technology over the last few years. It has enabled the creation of clever packages, including self-using motors, facial recognition, natural language processing, and others. It has also affected information science, with deep getting to know presenting a new set of tools to system and examine information. This paper discusses the capacity of deep gaining knowledge for enhancing records technological know-how practices, consisting of predictive analytics, visible insights, and self-studying structures. For each subject, the paper provides a short evaluation accompanied by an evaluation and discussion. Subsequently, it provides an outline of cutting-edge developments and guidelines for how records scientists can OK use their abilities and revel to capitalize on the capacity of deep learning.

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Cancelable Biometrics Based on Quaternion Adaptive Filter Optimization for Security Applications

Cancelable Biometrics Based on Quaternion Adaptive Filter Op...

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Computing and Informatics (ICCI), International Conference on

作者： Mahmoud Nasr Adam Piórkowski Pascal Muam Mah Fathi E. Abd El-Samie Department of Biocybernetics and Biomedical Engineering AGH University of Krakow Cracow Poland Faculty of Engineering and Technology Future University in Egypt Cairo Egypt Department of Technical Informatics and Telecommunications AGH University of Krakow Cracow Poland Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia

This study introduces a unique cancelable face recognition technique that depends on adaptive filters and quaternion mathematics. The whale optimization is also applied to determine the optimal parameter settings for best performance. The primary concept of the suggested model revolves around the concealment of facial characteristics before their utilization in the face recognition process. The primary aim of this procedure is to guarantee the confidentiality of users' personal information throughout the enrollment and verification stages of the biometric system, particularly when the database is compromised and the stored biometric templates are altered. In this context, the color facial image is utilized to construct a quaternion. After that, a mask image is employed in a separate quaternion. The cancelable templates are obtained by using the input and mask images represented in quaternion format and applying an adaptive filter on both of them. This process involves preserving the weights of the adaptive filter. Investigation of the suggested tehnique performance demonstrates that the obtained templates lead to low (EER) and a large Area under the ROC curve.

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A Low-Profile Circularly Polarized Directional Antenna with Wide Beamwidth and Wide Bandwidth

A Low-Profile Circularly Polarized Directional Antenna with ...

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World Congress on Computing and Communication Technologies (WCCCT)

作者： Xuhang Zhou Botao Feng Li Deng Wei Yang Xiao Ding Qingsheng Zeng College of Electronics and Information Engineering Shenzhen University Shenzhen China College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China College of Big Data and Internet Shenzhen Technology University Shenzhen China Faculty of Humanities and Arts Macau University of Science and Technology Macau China Department of Computer and Engineering University of Quebec in Outaouais Quebec Canada

ISBN: (数字)9798331512620

ISBN: (纸本)9798331512637

This paper presents a low-profile broadband wide-beam directional circularly polarized (CP) antenna based on crossed dipoles. The design consists of two sets of crossed dipoles, each connected to the inner and outer conductors of a coaxial line. Each dipole set features two bowtie-shaped patches linked by a vacant-quarter ring, whose circumference equals a quarter of the center wavelength. This ring introduces a 90-degree phase shift, enabling circularly polarized radiation. To enhance performance, four parasitic elements are strategically placed at the corners. The parasitic patches contribute to bandwidth expansion, while the vertical parasitic plates improve beamwidth coverage. Simulation results demonstrate that the antenna achieves good |S11| and axial ratio performance within the 1.2-2.1 GHz range. Additionally, the half-power beamwidth (HPBW) is significantly improved compared to designs without vertical parasitic plates, highlighting its strong potential for future wireless communication applications.

关键词： Wireless communication Dipole antennas Simulation Bandwidth Directional antennas Directive antennas Conductors Communications technology Broadband communication Broadband antennas

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Dynamic behaviors and digital circuit implementation of a Rulkov neuron with a non-polynomial memristor synaptic weight

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The European Physical Journal Special Topics 2025年 1-18页

作者： Tamba, Victor Kamdoum Tofou, Junior Tchiaze Pham, Viet-Thanh Grassi, Giuseppe Department of Telecommunication and Network Engineering IUT-Fotso Victor of Bandjoun University of Dschang Bandjoun Cameroon Research Unit of Automation and Applied Computer Department of Electrical Engineering IUT-FV Bandjoun University of Dschang Bandjoun Cameroon Faculty of Electronics Technology Industrial University of Ho Chi Minh City Ho Chi Minh City Vietnam Department of Engineering for Innovation University of Salento Lecce Italy

Memristors have proven since their discovery to play a very important role as artificial synapses in the implementation of artificial neural networks. Just as biological synapses, memristors can significantly influence the behaviors of the neural network. A non-polynomial memristor is used in this work to investigate the memristive synaptic weight effect on the dynamics of a simplified Rulkov neuron. The model is first introduced from where theoretical analyses show the system’s ability to develop regular and irregular behaviors. Analysis methods such as two parameter charts, bifurcation diagrams and maximum Lyapunov exponents (MLE) are then used to study the dynamics of the proposed Rulkov model. The numerical results show that the memristive synaptic weight Rulkov neuron model can exhibit self-excited and hidden firings. Furthermore, the system can undergo interesting offset boosting dynamics and antimonotonicity features (i.e., bubble bifurcations) for some system parameters. To corroborate the computational findings, the proposed model is implemented on an Arduino Due microcontroller board, from where the experimental results are seen to be in agreement with the obtained numerical results.

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EHG Signal Analysis for Prediction of Term and Preterm using Variational Mode Decomposition and Artificial Neural Networks

EHG Signal Analysis for Prediction of Term and Preterm using...

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Frontiers of Information technology (FIT)

作者： Muhammad Umar Khan Sumair Aziz Khushbakht Iqtidar Raul Fernandez Rojas Department of Electronics Engineering University of Engineering and Technology Taxila Taxila Pakistan Department of Computer Software Engineering National University of Sciences and Technology Islamabad Pakistan Faculty of Science & Technology University of Canberra Canberra Australia

ISBN: (纸本)9798350345940

Preterm deliveries are an important cause of mortality and morbidity in newborns. Accurate and early prediction of a premature delivery can prove helpful in providing proper medication and treatment. Recording of electrical activity known as Electrohysterogram (EHG) from the abdominal surface of pregnant women corresponds to the uterus contractions. A new direction is open using EHG signals for the diagnosis of preterm births. In this research, we present a new method for the accurate classification of preterm and term EHG signals. The proposed method first filters a three-channel EHG signal using bandpass filters. Next, we combined the filtered three-channel EHG into one signal using an accumulation operation. The accumulated EHG signal was post-processed through variational mode decomposition (VMD). VMD algorithm splits the input signal into finite modes using center frequencies known as intrinsic mode functions (IMFs). An energy-based intelligent signal reconstruction approach is designed to combine IMFs having an energy level above the computed threshold. Next, the reconstructed EHG signals were split into continuous windows, and time, frequency, and Hjorth features were extracted. These features were fused to construct a distinct feature representation and were reduced using the ReliefF algorithm. We trained an artificial neural network (ANN) to obtain 98.8 % average accuracy using 10-fold cross-validation.

关键词： Band-pass filters Time-frequency analysis Artificial neural networks Filtering algorithms Feature extraction Signal reconstruction Classification algorithms

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A Low-Cost Edge and Cloud Computing Based Smart Agriculture Platform for Lifecycle Andrographis Paniculata Planting

A Low-Cost Edge and Cloud Computing Based Smart Agriculture ...

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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Sanya Phowong Krishda Srichanpiyom Premsak Puangploy Chaowat Euafua Montri Phothisonothai Department of Electronics Nakhon Nayok Technical College Nakhon Nayok Thailand Faculty of Technical Education King Mongkut’s University of Technology North Bangkok Bangkok Thailand Faculty of Agro-Industry King Mongkut’s University of Technology North Bangkok Prachinburi Thailand Department of Electrical Engineering Faculty of Engineering Burapha University Chonburi Thailand Department of Computer Engineering Faculty of Engineering at Sriracha Kasetsart University Sriracha Chonburi Thailand

In the COVID-19 outbreak, the promotion of the use of Andrographis Paniculata (ADG) as a complementary treatment of mild COVID-19 patients has been announced in Thailand. This paper aims to present an automated system for ADG plating on the basis of smart agriculture platform using Internet of Things (IoT) technology. The proposed platform is designed for entirely planting throughout the ADG’s lifecycle divided into three experimental stages and able to process time-dependent heterogeneous information on the edge layer as a pre-processing, i.e., temperature, soil moisture, light exposure, acidic/basic pH value, soil fertility, and near-infrared spectrum. To determine the optimal condition of volumetric water content (VWC), the rule-based decision support system (DSS) model has been applied on the cloud layer as a final decision. The effectiveness of the proposed platform in terms of three stages lifecycle ADG plating and a cost estimation have also been presented.

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Investigation of the Impact of Height and Bandwidth on Path Loss Exponent of 5G FR1 Wireless Networks at 800, 3500, and 5900 MHz 2

Investigation of the Impact of Height and Bandwidth on Path ...

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2nd International Conference on Multidisciplinary engineering and Applied Science, ICMEAS 2023

作者： Imam-Fulani, Yusuf Olayinka Faruk, Nasir Usman, Aliyu D. Abdulkarim, Abubakar Tekanyi, Abdoulie M.S Yaro, Abdulmalik S. Alozie, Emmanuel Garba, Salisu Adewole, Kayode S. Oloyede, Abdulkarim A. Sowande, Olugbenga A. Abdullahi Baba, Bashir Musa, Abdulwaheed Imoize, Agbotiname Lucky Adediran, Yinusa A. Olagunju, Hawau I. Taura, Lawan S. University of Ilorin Department of Telecommunication Science Ilorin Nigeria Ahmadu Bello University Department of Electronics and Telecommunication Engineering Zaria Nigeria Sule Lamido University Department of Information Technology Kafin Hausa Nigeria Sule Lamido University Directorate of Information and Communication Technology Kafin Hausa Nigeria Ahmadu Bello University Department of Electrical Engineering Zaria Nigeria Kampala International University Department of Electrical and Telecommunication Engineering Kampala Uganda University of Hradec Králové Faculty of Informatics and Management Department of Informatics and Qualitative Methods Hradec Králové Czech Republic Sule Lamido University Department of Software Engineering Kafin Hausa Nigeria University of Ilorin Department of Computer Science Ilorin Nigeria Kwara State University Department of Electrical and Computer Engineering Malete Nigeria University of Johannesburg Institute for Intelligent Systems Johannesburg South Africa University of Lagos Department of Electrical and Electronics Engineering Lagos Nigeria Ruhr University Institute of Digital Communication Department of Electrical Engineering and Information Technology Bochum Germany University of Ilorin Department of Electrical and Electronics Engineering Ilorin Nigeria Sule Lamido University Department of Physics Kafin Hausa Nigeria

ISBN: (纸本)9798350358834

5G communication systems provide an end-to-end wireless connection to billions of users and devices across the globe. The quality of signals received during radio communication is notably influenced by the behavior of the radio propagation channel. A major parameter used in characterizing this channel is the Path Loss Exponent (PLE). Several works that have estimated and analyzed the PLE mostly considered the effect of distance and carrier frequency. However, the effect of base station antenna height and channel bandwidth on the PLE for 5G networks have not been adequately considered. To address this, the impact of antenna height of base station and channel bandwidth on the PLE within the 5G Frequency Range 1 (FR1) frequencies was investigated in this study, specifically at 800, 3500, and 5900 MHz. The licensed EDX Signal Pro software® with Cirrus high resolution global terrain and clutter data base was utilized to model, simulate and analyze the PLE for Kano City, Nigeria. Results showed that for the tested frequencies, an increase in either base station height or channel bandwidth leads to a significant reduction in the PLE. This study can be utilized by network planning engineers and the wireless research community to further improve network implementation and optimization toward understanding the behavior of signal propagation in 5G networks and beyond. © 2023 IEEE.

关键词： 5G mobile communication systems

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Bioinspired Sandwich Structure in Composite Panels

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Advances in Materials Science and engineering 2023年第1期2023卷

作者： Sampathkumar, Deepak Mohankumar, Ashokkumar Teekaraman, Yuvaraja Kuppusamy, Ramya Radhakrishnan, Arun Department of Mechanical and Automation Engineering Agni College of Technology Talambur Tamil Nadu Chennai600130 India Department of Mechanical Engineering Government College of Engineering Tamil Nadu Bargur635104 India Jahra Kuwait Department of Electrical and Electronics Engineering Sri Sairam College of Engineering Bangalore562106 India Faculty of Electrical & Computer Engineering Jimma Institute of Technology Jimma University Jimma Ethiopia

The phenomenon of separation into constituent layers connecting the core and laminate of a composite sandwich complex is a vital complication that leads to early failure of such material. The direction of the sandwich construction's exfoliation rigidity is increased between interlaminar low fiber augmentation. The bioinspired technique of hybrid material layers was used on an aluminium face sheet with an interlayer composition of PET foam core and glass fabric of a material that appears to have greater potential as a flimsy substitute for materials currently used in automotive, aeronautical, and marine applications. This examination seeks to develop the making of such material along the retardation in fibre supplements. Fibre bridging has been recognized as an important appliance in the progress of this operating procedure. Consequently, this method points to promoting the event of fibre bridging by differing aggregates, including the mass and extent of augmented fibres and the quantity of epoxy resin applied. A few advancements were made to the production methods, and though the outcomes for the resisting ability of specimens were found to be indecisive, it was found that the layer separation hardness had even improved. This was confirmed through the operation of scanning electron microscopy and also predicted the mechanically peeled material surfaces which identified the adhesive strength variations with respect to the face sheet surface modified with the sand blasting process. The analysis also revealed the need for further research into optimizing the attachment between aluminium sheet and pet foam and glass fabric based hybrid sandwich panels. © 2023 Deepak Sampathkumar et al.

关键词： Fibers

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Particle Swarm Optimization for Tuning Power System Stabilizer towards Transient Stability Improvement in Power System Network 3

Particle Swarm Optimization for Tuning Power System Stabiliz...

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3rd IEEE International Conference on Artificial Intelligence in engineering and technology, IICAIET 2021

作者： Alsakati, Ahmad Adel Vaithilingam, Chockalingam Aravind Naidu, Kanendra Rajendran, Gowthamraj Alnasseir, Jamal Jagadeeshwaran, Arthanari School of Computer Science Engineering Taylor's University Faculty of Innovation and Technology Selangor Malaysia School of Electrical Engineering College of Engineering Universiti Teknologi MARA Shah Alam Selangor Malaysia Damascus University Faculty of Mechanical Electrical Engineering Electric Power Engineering Department Damascus Syria Sona College of Technology Department of Electrical and Electronics Engineering Salem India

ISBN: (纸本)9781665428996

System stability plays a significant role in the development of modern power systems. Power System Stabilizer (PSS) is an effective device often used to provide auxiliary damping to the oscillations by stabilizing the signals. Particle Swarm Optimization (PSO) is a popular and intelligent optimization technique used to solve various optimization problems. In this research work, the transient stability of the two-area four-machine system is improved using PSS1A. PSS1A is a single-input single-band power system stabilizer. The PSS1A parameters are optimized using PSO to enhance the stability and mitigate the oscillations. The simulation results of the relative power angle of Synchronous Generators (SGs) show that the transient stability is significantly improved with Optimized PSS1A (O-PSS1A), and the oscillations are mitigated. The maximum relative power angle of generator 1 and generator 2, with respect to generator 4, reduced by 29.5% and 33.6% respectively with the proposed O-PSS1A. Similarly, a reduction was obtained in settling time of both generator 1 and generator 2 at 4.94 s and 3.66 s compared to the system without PSS which was unstable. © 2021 IEEE.

关键词： Particle swarm optimization (PSO)

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