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International Conference on Image and Signal Processing and their Applications (ISPA)

作者： Cheikh Kherici Malika Kandouci Amel Bechikh Aicha Benhamidi Computer Science Department Faculty of Mathematics and Computer Science Laboratory of Electromagnetism Photonics and Optronics L.E.P.O Sidi Bel Abbes Algeria Ibn Khaldoun University of Tiaret Tiaret Algeria Electronics Department Faculty of Electrical Engineering Laboratory of Electromagnetism Photonics and Optronics L.E.P.O Sidi Bel Abbes Algeria Djillali Liabes University of Sidi Bel Abbes Sidi Bel Abbes Algeria Computer Science Department Faculty of Mathematics and Computer Science Ibn Khaldoun University of Tiaret Tiaret Algeria

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

This article discusses the effect of laser emission power and PON network range when GPON and XGSPON systems coexist. The analysis aims to understand how these two factors influence the overall performance and stability of the coexistence between the two optical network technologies. In order to also meet the increasing demand for data rates and new services such as videoconferencing and very high-quality television (4K, 6K, …etc). the coexistence system is preferred, allowing effective collaboration between GPON and XGSPON *** work deals with the performance evaluation of GPON and XGSPON systems, focusing on reconciliations and adjustments related to BER error rates and Q factor. The study explores different scenarios by adjusting the laser power from -12 dBm to 12 dBm and varying the array range from 10 km to 120 km. The main objective is to determine the best combination of laser power and network range to ensure optimal performance for coexistence systems.

关键词： Q-factor Performance evaluation TV Power lasers Bit error rate Optimization methods Video conferencing

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Research on Hybrid Flow-shop Scheduling Based on INSGA-II Algorithm 4

Research on Hybrid Flow-shop Scheduling Based on INSGA-II Al...

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4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022

作者： Chen, Haopeng Fang, Zaojun Zhong, Caiming Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo Zhejiang China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo Zhejiang China Zhejiang Key Laboratory of Robot and Intelligent Manufacturing Equipment Technology Ningbo Zhejiang China College of Science and Technology Ningbo University Ningbo Zhejiang China

ISBN: (纸本)9781450398343

Aiming at the hybrid flow shop scheduling problem (HFSP), a multi-objective optimization scheduling model is established with the objectives of minimizing makespan, energy consumption and total load, and an improved non-dominated sorting genetic algorithm-II (INSGA-II) is proposed to solve the problem. Combining the problem characteristics of task sequencing and equipment selection in the production process of hybrid flow shop, a double-layer coding rule combining the job sequence code (JSC) and machine allocation code (MAC) is adopted. Different crossover and mutation operators are used for JSC and MAC respectively to improve the global search capability of the algorithm. Aiming at the poor local search capability of NSGA-II, neighborhood search is introduced to improve the quality of population. Finally, the optimal parameters combination of the algorithm is determined by orthogonal experiment, and the feasibility and effectiveness of INSGA-II for solving the multi-objective scheduling problem in hybrid flow shop are verified by simulation experiments. © 2022 ACM.

关键词： Multiobjective optimization

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Implementation of ML Algorithms for the Purpose of Quality Improvement of Power

Implementation of ML Algorithms for the Purpose of Quality I...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Raghu N Mansingh Meena Kumud Saxena Department of Electrical and Elceltronics Engineeirng Faculty of Engineering and Technology JAIN (Deemed to be University) Bangalore India Department of Electrical Engineering Vivekananda Global University Jaipur India Department of Computer Science and Engineering Noida Institute of Engineering & Technology Greater Noida Uttar Pradesh India

In our fast industrializing world, the need for more reliable and high-quality power production is highlighted by the growing need for electrical energy and the drive toward automation. In an effort to fulfill the growing need for electrical power, sources of renewable electricity (RE) have surfaced as an eco-friendly substitute for traditional energy sources. However, because of their intrinsically erratic and fluctuating production patterns, integrating these sources of renewable energy into the utility grid poses difficulties for sustaining the quality of electricity (PQ) and system stability. Mitigating PQ difficulties related to the adoption of renewable energy has been made possible by the integration of a distributed flexibly AC transfer system gadgets such as distribute static compensator (DSTATCOM) as dynamic voltage restorer (DVR). The control algorithms that dictate the functioning of those DFACTS devices are substantially responsible for their effectiveness. This exploration leads an extensive examination of the ordinary and adjust control methods utilized in DFACTS frameworks to address power quality issues in utility organizations where sustainable power is being incorporated. The exhaustive assessment incorporates an assessment of in excess of 170 examination papers and offers a cautious classification and outline of the different control techniques. The survey investigates these calculations' plan, trying equipment, signs of execution, and reasonability as archived in the group of surviving exploration. This collection is an invaluable tool that provides engineers and scholars working in the dynamic subject of improving power quality in utility networks amid the increasing impact of renewable energy sources with a rapid reference.

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Sustainable Smart Road: A Unified Cost Estimation Model for Renewable-Powered Smart Roads

Sustainable Smart Road: A Unified Cost Estimation Model for ...

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electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Cristian Giovanni Colombo Michela Longo Leonardo Nocera Ryosuke Ota Dario Zaninelli Department of Energy Politecnico di Milano Milan Italy Politecnico di Milano Milan Italy Department of Electrical Engineering and Computer Science Faculty of Systems Design Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798350395914

ISBN: (纸本)9798350395921

With new stringent policies affecting the transport and generation sectors, new technologies have emerged to drive the electric and technological transition. One of these is the smart road, a highly sensorised system to enable the integration of new vehicles and safety technologies. In this paper, the implementation of a smart road is simulated, first from an energy point of view and then from an economic point of view, by identifying the power demand of components and their cost. Next, the energetic core of the smart road is implemented. The energy core consists of a PV plant capable of powering the infrastructure. In this paper a simulation to test the proposed methodology is implemented. In the case study, a 280.05 kW smart road is powered by an optimally dimensioned PV plant. The production guaranteed by the 283.8 kWp plant will be 389.49 MW $h$ /year and requires $5723\mathrm{m}^{2}$ . Furthermore, the 234.57 $\mathrm{k}\unicode{x20AC}$ investment for the plant will represent less than 10% of the total investment, highlighting how renewable integration can be an economic sustainable purpose. Finally, another method to return the investment as quickly as possible will be proposed.

关键词： Renewable energy sources Costs Power demand Roads Net zero Estimation Production Safety Solar radiation Investment

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Critical assessment of opal mining techniques, tools, market system, environmental impact challenges, and prospects — A systematic review

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Arabian Journal of Geosciences 2025年第6期18卷 1-14页

作者： Adamu, Anteneh Yayeh Eneyew, Demessie Mulu Ejigu, Assamen Ayalew Dubiniewicz, Andrzej Kajetan Endalew, Sisay Awoke Nigussie, Asmare Belay Amognehegn, Asnake Enawgaw School of Civil and Water Resource Engineering & Architecture Kombolcha Institute of Technology Kombolcha Ethiopia Department of Electrical and Computer Engineering Kombolcha Institute of Technology Kombolcha Ethiopia Faculty of Earth Sciences and Spatial Management Nicolaus Copernicus University Torun Poland Department of Chemistry College of Natural Science Wollo University Dessie Ethiopia

The study presents the existing challenges in opal mining in the Delanta area (mining methods, tools, market system, and environmental impact) and provides possible recommendations to overcome these challenges. Literature review, data collection, field survey, and data analysis were used as methods for this study. Environmental impact assessment also applied in the study area. Based on the study, the opal mining system in the Delanta area is performed in traditional ways and this method is not benefiting the local miners as well as the country. In the area, due to roof collapse of mining sites, three to eight artesian small-scale miners are dying each year. Opal quality deterioration (wastes locally called Ajara) because of cracking is the other main challenge in the study area. Moreover, environmental problems such as deforestation, concealed underground channels, landslides, the loss of numerous species’ habitats, annihilation of flora, land degradation, soil erosion and pollution, water pollution, air pollution, downstream sedimentation, and the covering of topsoil on agricultural land, which affects the farming system are the main findings of this study. In the study area, only 3% of the opal is processed, while 97% is rough, and this results in loss of income for the country. Finally, the study indicated the possible solutions in opal exploration and mining methods, as well as market system for the safe and sustainable extraction of Delanta opal resources. The study recommended for future work to design a safe mining method, a ventilation shaft, develop a smartphone app for quality grading and branding for selling, developing a low-cost opal cutting and polishing machine for value addition, and establishing training centers. In addition, the sector in the area also needs solar systems planting for lighting of mining sites, design and development of waste soil removal technology/conveyors and hammers for safe mining, sustainable development and management.

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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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Ai Enabled Ant-Routing Protocol to Secure Communication in Flying Networks

SSRN

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SSRN 2022年

作者： Hussain, Sadoon Sami, Ahmed Thasin, Abida Saad, Redhwan M.A. Department of Physic College of Science University of Mosul Iraq Department of Computer Science College of Computer Science and Mathematics University of Mosul Iraq Department of Electrical Engineering Faculty of Engineering Ibb University Ibb70270 Yemen Department of Computer Engineering Faculty of Engineering Cairo University Giza12613 Egypt

Artificial intelligence has recently been used in FANET-based routing strategies for decision making, which is a unique paradigm. For effective communication in flying vehicles that use routing protocols to accomplish tasks collectively. Aerial vehicles are used in both civic and military applications. Aerial ad hoc networks are wirelessly connected, and designing routing schemes is difficult due to the rapid mobility. Ground base stations and satellites are frequently used to interconnect UAV ad hoc networks. This paper developed a novel routing protocol with a focus on ant behavior routing, which assists in end-to-end security. For the first time in flying networks, the column mobility model is used to evaluate the performance of routing protocols. While merging with aerial ad hoc networks, AI-based networking is a relatively new field. In simulation results, AntHocNet shows better results in comparison with other contemporary routing algorithms. Pheromone update process is used for data encryption in AntHocNet. This research study is performed on network simulator-2. © 2022, The Authors. All rights reserved.

关键词： Routing protocols

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Crop-Guided Neural Network Segmentation of High-Resolution Skin Lesion Images 2nd

Crop-Guided Neural Network Segmentation of High-Resolution ...

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2nd International Conference on Digital Transformation in Education and Artificial Intelligence Applications, MoStart 2024

作者： Benčević, Marin Habijan, Marija Galić, Irena Faculty of Electrical Engineering Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek Osijek Croatia Department of Telecommunications and Information Processing TELIN-GAIM Ghent University Ghent Belgium

ISBN: (纸本)9783031620577

Medical images are often exceedingly large in width and height, limiting the maximum batch size when training convolutional neural networks and requiring models with a large number of parameters. Typically, images are uniformly downsampled, leading to losing fine-detailed information. Instead of uniformly downsampling images, we introduce a two-stage end-to-end segmentation network utilizing image crops to reduce network input size. Initially, a uniformly downscaled image is first segmented with a rough segmentation module, and the rough segmentation is used as a saliency map to crop the original high-resolution image to a region of interest. This crop is then re-segmented with a fine segmentation module. Our method’s effectiveness is demonstrated in segmenting lesion boundaries in clinical images across two datasets. We establish that this technique maintains comparable segmentation quality to a baseline model while reducing the network input size. Furthermore, our approach enhances the robustness of segmentation outcomes with smaller input sizes, outperforming uniformly downscaled images and baseline models. This improvement is consistent in both in-sample and out-of-sample evaluations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Crops

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Information Flow Guided Synthesis (Full Version)

arXiv

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arXiv 2022年

作者： Finkbeiner, Bernd Metzger, Niklas Moses, Yoram CISPA Helmholtz Center for Information Security Saarland Germany The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering The Taub Faculty of Computer Science Technion Israel

Compositional synthesis relies on the discovery of assumptions, i.e., restrictions on the behavior of the remainder of the system that allow a component to realize its specification. In order to avoid losing valid solutions, these assumptions should be necessary conditions for realizability. However, because there are typically many different behaviors that realize the same specification, necessary behavioral restrictions often do not exist. In this paper, we introduce a new class of assumptions for compositional synthesis, which we call information flow assumptions. Such assumptions capture an essential aspect of distributed computing, because components often need to act upon information that is available only in other components. The presence of a certain flow of information is therefore often a necessary requirement, while the actual behavior that establishes the information flow is unconstrained. In contrast to behavioral assumptions, which are properties of individual computation traces, information flow assumptions are hyperproperties, i.e., properties of sets of traces. We present a method for the automatic derivation of information-flow assumptions from a temporal logic specification of the system. We then provide a technique for the automatic synthesis of component implementations based on information flow assumptions. This provides a new compositional approach to the synthesis of distributed systems. We report on encouraging first experiments with the approach, carried out with the BoSyHyper synthesis tool. Copyright © 2022, The Authors. All rights reserved.

关键词： Specifications

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Automatic Sitting Posture Recognition in Wheelchair Users: An AI-driven Pilot Study

Automatic Sitting Posture Recognition in Wheelchair Users: A...

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International Conference on Frontiers of Signal Processing (ICFSP)

作者： Fouzi Harrou Abdelhakim Dorbane Ying Sun Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Computer Thuwal Saudi Arabia Smart Structures Laboratory (SSL) Faculty of Science and Technology University of Ain Temouchent Ain Temouchent Algeria

ISBN: (数字)9798350353235

ISBN: (纸本)9798350353242

Automated recognition of sitting postures in wheelchair users is crucial for preventing pressure ulcers and improving overall comfort and health. This pilot study explores using XGBoost for automatic sitting posture recognition in wheelchair users. XGBoost was chosen for its robustness, ability to handle imbalanced datasets, and its strategy of combining multiple weak learners to create a strong learner, thereby enhancing model accuracy and robustness. The proposed approach is evaluated using a publicly available dataset. Pressure sensors on the seat and an ultrasonic sensor on the backrest were utilized to classify four sitting postures: normal sitting, higher pressure on the right side, higher pressure on the left side, and higher forward pressure. XGBoost demonstrated superior performance with perfect accuracy and F1-score, outperforming Support Vector Machines (SVM) and Naive Bayes classifiers. Additionally, SHAP (SHapley Additive exPlanations) analysis is employed to model explainability and identify the most significant variables for detecting abnormal postures. While results are promising, the limited dataset suggests that further research with more extensive data and additional sensors could enhance accuracy.

关键词： Support vector machines Pressure sensors Analytical models Accuracy Wheelchairs Signal processing Robustness Acoustics Naive Bayes methods Ensemble learning

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