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International Conference on Pattern Analysis and Intelligent Systems (PAIS)

作者： Mohamed Kamel Benbraika Samir Bourekkache Okba Kraa Yassine Himeur Khaled Telli Abdelmalik Ouamane Computer Science Department University of El-Oued El-Oued Algeria Smart Computer Science Laboratory Mohamed Khider University Biskra Algeria Energy Systems Modeling Laboratory Mohamed Khider University Biskra Algeria College of Engineering and Information Technology University of Dubai UAE Laboratory of LI3C Mohamed Khider University Biskra Algeria

ISBN: (数字)9798350350265

ISBN: (纸本)9798350350272

Device-to-device connection is a captivating new approach that holds great potential for the next generation of mobile networks, among others 5G and beyond. One of the reasons for this is that it has the capacity to boost system throughput, reduce the burden on the network core, and enhance spectral efficiency. Therefore, in order to make the most of these advantages, it is of the utmost importance to enhance the allocation of resources and power in order to reduce the amount of interference caused by co-channels. This paper proposes utilizing a based simulated annealing (SAA) technique to enhance combined radio spectrum and energy allocation. The SAA is made up of a phase that involves heating, which is then followed by slow and steady cooling. This is a method that is very often used in the field of metallurgy. Doing so results in an ordered and therefore stronger metal with more flexibility and less energy. The simulation outcomes show that the proposed approach surpasses both the random solution and Genetic approach (GA) in terms of time to stabilize to an optimal solution, throughput, and obtaining a feasible solution.

关键词： 5G mobile communication Spectral efficiency Interference Simulated annealing Throughput Device-to-device communication Resource management

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FAST CHARGING ELECTRIC BUSES IN MARIBOR: A COMPARATIVE ANALYSIS OF SIMULATION AND REAL-WORLD RESULTS 12th

FAST CHARGING ELECTRIC BUSES IN MARIBOR: A COMPARATIVE ANALY...

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12th International Conference on Environmental Engineering, ICEE 2023

作者： Klemenčič, Mitja Španer, Marijan Lep, Marjan Moharić, Matej Department of Transportation Engineering Faculty of Civil Engineering Transportation Engineering and Architecture University of Maribor Smetanova 17 Maribor Slovenia Laboratory for Power Electronics Institute of Robotics Faculty of Electrical Engineering and Computer Science University of Maribor Koroška cesta 46 Maribor Slovenia

This paper presents a study of the energy consumption of a full electric bus charged at a fast-charging station with pantographs in the city of Maribor. The results of simulated and real tests on the PT line 6 are compared and analysed. The partly electrified PT line 6 provides insights on comparison between simulated energy consumption and re-al-life energy consumption, charging time and reliability of charging. The results reveal that the simulation considered several important factors like real life turnaround time, driving cycle, regenerative braking, charging time, peak hour charging time, heating/cooling systems, full passenger load as important and critical to identify the appropriate concept for charging. Technical and operational errors were identified in real world, due to connectivity failures or driver errors in positioning the vehicle, which were not considered in the simulation. The real-world data and procedure for selection of the most appropriate charging technology represent a good basis for full electrified Public Transport in Maribor. © 2023 The Author(s). Published by Vilnius Gediminas Technical University.

关键词： Electric buses

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Investigation of Circular Patch Antenna for Wi-Fi and Bluetooth Applications 3

Investigation of Circular Patch Antenna for Wi-Fi and Blueto...

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3rd International Conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Ghassan Majeed, Maryam Qasim, Haitham Bashar Kosimova, Shakhlokhon Diame, Hussein Alaa Lafta, Alaa M. Alchilibi, Haider Al-Kunooze University College Computer Engineer Department Basra Iraq Al-Esraa University College Forensic Sciences Department Baghdad Iraq Fergana Polytechnic Institute Department of Architecture Fergana Uzbekistan National University of Science and Technology Dhi Qar Iraq Al-Farahidi University Medical Laboratory Techniques Department Baghdad10022 Iraq

ISBN: (纸本)9798350330724

The purpose of this paper is to examine and contrast the Novel Circular Patch Antenna employing FR4 and RT Droid (CPA). Resonant frequency of 2.5 GHz in a static medium. To create the antenna, we use the HFSS and two different sample sets. Ten samples are taken from each antenna at 80% G-Power. Assume that the members of Group 1 are all CPAs that use the FR4 substrate. The Novel circular patch antenna (CPA) on RT roger's substrate is in the second group under consideration. This antenna operates at 2.5 GHz to measure reflectance at both ends. A VSWR of 2.1786 dB was measured at 2.4 GHz for a circular CPA designed for RT rogers, while the measured value for a CPA with FR4 was 0.7088 dB. The significance level in SPSS was 0.038 (p 0.05). The findings of this study show that RT rogers is approximately as effective as the FR4 substrate. © 2023 IEEE.

关键词： Natural frequencies

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Plasma Jet Deposition and Self-Sintering of Gold Nanoparticle Ink for Flexible Electronics 5

Plasma Jet Deposition and Self-Sintering of Gold Nanoparticl...

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5th IEEE International Flexible Electronics Technology Conference, IFETC 2023

作者： Manzi, Jacob Varghese, Tony Dhamala, Anupama Prakasan, Lakshmi Eixenberger, Josh Kandadai, Nirmala Estrada, David Subbaraman, Harish School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States Micron School of Material Science and Engineering Boise State University BoiseID83725 United States Boise State University Department of Electrical and Computer Engineering BoiseID83725 United States Center for Advanced Energy Studies Boise State University BoiseID83725 United States Idaho National Laboratory Idaho FallsID83415 United States

ISBN: (纸本)9798350332094

Additive manufacturing has become a promising method for the fabrication of inexpensive, green, flexible electronics. Printed electronics on low-Temperature substrates like paper are very appealing for the flexible hybrid electronics market for their use in disposable and biocompatible electronic applications and in areas like packaging, wearables, and consumer electronics. Plasma-jet printing uses a dielectric barrier discharge plasma to focus aerosolized nanoparticles onto a target substrate. The same plasma can be used to change the properties of the printed material and even sinter in situ. The technology can also be utilized in space and microgravity environments since the plasma-Assisted deposition is independent of gravity. In this work, we show plasma voltage effect on deposition of gold nanoparticles and direct printing of flexible, conductive gold structures onto low-Temperature paper substrates without the need for thermal or photonic post-processing. The effects of plasma parameters on the conductivity and flexible reliability of the printed films are studied, and a paper-based LED electrode is demonstrated. © 2023 IEEE.

关键词： Substrates

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Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization

Incentivizing Mobility of Multi-agent Vehicle Swarms with De...

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2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable computers, UbiComp/ISWC 2022

作者： Azam, Mohib Chen, Xinlei Xu, Susu Department of Computer Science Stony Brook University Stony BrookNY United States Shenzhen International Graduate School Tsinghua University Shenzhen China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9781450394239

Mobile Crowdsensing Systems (MCS) often utilize non-dedicated mobile agents (e.g., ridesharing cars) equipped with sensors to collect urban data as they move around a city. Utilizing these non-dedicated agents provides a cheap means for mobile crowdsensing. However, driver agents often focus on traveling to areas where they can pick up more passengers, which can cause the distribution of uploaded data to mismatch our intended distribution. In this work, we propose a passive incentivization scheme in which incentives are applied to different map locations for agents who travel to that location at that time and upload data. We design a simulated environment for multi-agent mobile crowdsensing systems based on real-world taxi data and model large amount of agents with heterogeneous utility functions and routing behaviors, namely myopic, semi-myopic, and farsighted. With this environment, we propose using reinforcement learning to search for an ideal incentivization policy. Finally, we show through experiments that a Proximal Policy Optimization-based method is capable of learning such a policy in spite of the complexities and high dimensionality of the environment and action spaces. © 2022 ACM.

关键词： Combinatorial optimization

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How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition

arXiv

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arXiv 2022年

作者： Mendez, Jorge A. Eaton, Eric Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Department of Computer and Information Science University of Pennsylvania United States

A major goal of artificial intelligence (AI) is to create an agent capable of acquiring a general understanding of the world. Such an agent would require the ability to continually accumulate and build upon its knowledge as it encounters new experiences. Lifelong or continual learning addresses this setting, whereby an agent faces a continual stream of problems and must strive to capture the knowledge necessary for solving each new task it encounters. If the agent is capable of accumulating knowledge in some form of compositional representation, it could then selectively reuse and combine relevant pieces of knowledge to construct novel solutions. Despite the intuitive appeal of this simple idea, the literatures on lifelong learning and compositional learning have proceeded largely separately. In an effort to promote developments that bridge between the two fields, this article surveys their respective research landscapes and discusses existing and future connections between them. © 2022, CC BY.

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Exploring Multimedia Streaming Protocols in VANET: A Systematic Review

Exploring Multimedia Streaming Protocols in VANET: A Systema...

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International Conference on Pattern Analysis and Intelligent Systems (PAIS)

作者： Sarra Benzerogue Sahraoui Abdelatif Salah Merniz Lazhar Khamer Saad Harous MISC Laboratory Faculty of New Technologies of Information and Communication University of Abdelhamid Mehri Constantine 2 Constantine Algeria Department of Computer Science LAMIS Laboratory University of Larbi Tebessi Tebessa Algeria Department of Mathematics and Computer Science Mohamed Cherif Messaadia University Souk Ahras Algeria College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates

ISBN: (数字)9798350350265

ISBN: (纸本)9798350350272

This systematic literature review explores multimedia streaming in Vehicular Ad hoc Networks (VANET), a critical component for the advancement of Intelligent Transportation Systems (ITS). Using the Dimension platform for data collection and VOSviewer for literature analysis, this study identifies key areas to explore. It focuses on the detailed analysis of media streaming protocols, including the management of resources such as bandwidth. This review deepens our understanding of the impact of streaming media on road safety and entertainment, and offers insights into the varied needs of its applications through effective optimization strategies. The study also highlights the importance of these strategies to improve quality of service (QoS), user experience (QoE), and to simplify the management of technical requirements. The paper discusses the challenges and possible solutions, thereby contributing to the advancements in ITS. It helps stakeholders better understand media streaming in VANET, driving the development of more responsive and equitable ITS infrastructures.

关键词： Technical requirements Protocols Systematics Reviews Multimedia systems Vehicular ad hoc networks Quality of service

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Research and Design of Machine Vision-based Workpiece Defect Sorting Robot

Research and Design of Machine Vision-based Workpiece Defect...

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Intelligent Computing and Robotics (ICICR), International Conference on

作者： Qingyu Fu Hao Yan Zhe He Wenyao Li Wenjing Zang Cheng Zhu Department of Automation Tianjin University of Commerce Tianjin China Computer Science Department Tianjin University of Commerce Tianjin China Automation Laboratory Tianjin University of Commerce Tianjin China

ISBN: (数字)9798350372274

ISBN: (纸本)9798350372281

With the continuous improvement of industrial automation level, machine vision technology has been widely applied in the field of workpiece defect detection and sorting. In response to this demand, this paper proposes and designs a machine vision-based workpiece defect sorting system. This system integrates advanced technologies such as camera calibration, image preprocessing, and deep learning, which can efficiently and accurately identify workpiece defects and achieve automatic sorting. To verify the performance of the system, an experimental platform close to actual industrial scenarios was built, and extensive tests were conducted on workpieces of different types and batches. The experimental results show that the system has good robustness and reliability in complex environments, with a defect detection rate of over 98% and a sorting efficiency more than three times that of manual methods. Compared with traditional manual inspection methods, the machine vision sorting system significantly improves production efficiency and product quality, providing a feasible technical solution for the intelligent development of industries such as discrete manufacturing, with broad application prospects. In the future, machine vision technology is expected to play an important role in more industrial scenarios, promoting intelligent and high-quality development in manufacturing.

关键词： Industries Service robots Machine vision Manuals Production Robustness Manufacturing

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Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography

Unsupervised detection of Small Hyperreflective Features in ...

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Bildverarbeitung für die Medizin Workshop, BVM 2023

作者： Reimann, Marcel Won, Jungeun Takahashi, Hiroyuki Yaghy, Antonio Hwang, Yunchan Ploner, Stefan Lin, Junhong Girgis, Jessica Lam, Kenneth Chen, Siyu Waheed, Nadia K. Maier, Andreas Fujimoto, James G. Department of Electrical Engineering and Computer Science Research Laboratory of Electronics Massachusetts Institute of Technology United States Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Germany New England Eye Center Tufts Medical Center United States

ISBN: (纸本)9783658416560

Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new potential biomarkers in retinal diseases. Newly visible features are, for example, small hyperreflective specks in age-related macular degeneration. Identifying these new markers is crucial to investigate potential association with disease progression and treatment outcomes. Therefore, it is necessary to reliably detect these features in 3D volumetric scans. Because manual labeling of entire volumes is infeasible a need for automatic detection arises. Labeled datasets are often not publicly available and there are usually large variations in scan protocols and scanner types. Thus, this work focuses on an unsupervised approach that is based on local peak-detection and random walker segmentation to detect small features on each B-scan of the volume. © 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.

关键词： Optical tomography

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GACL-Net:Hybrid Deep Learning Framework for Accurate Motor Imagery Classification in Stroke Rehabilitation

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computers, Materials & Continua 2025年第4期83卷 517-536页

作者： Chayut Bunterngchit Laith H.Baniata Mohammad H.Baniata Ashraf ALDabbas Mohannad A.Khair Thanaphon Chearanai Sangwoo Kang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Computing Gachon UniversitySeongnam13120Republic of Korea Computer Science Department Faculty of Information TechnologyThe World Islamic Sciences and Education UniversityAmman11947Jordan Intelligent Systems Department Faculty of Artificial IntelligenceAl-Balqa Applied UniversityAl-Salt19117Jordan IT Infrastructure Department Qatrana Cement CompanyAmman11821Jordan Division of Industrial and Logistics Engineering Technology Faculty of Engineering and TechnologyKing Mongkut’s University of Technology North BangkokRayong CampusRayong21120Thailand

Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive *** rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recovery patterns,and the complexity of electroencephalography(EEG)signals,which are often contaminated by *** classification of motor imagery(MI)tasks,involving the mental simulation of movements,is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific *** address these challenges,this study introduces a graph-attentive convolutional long short-term memory(LSTM)network(GACL-Net),a novel hybrid deep learning model designed to improve MI classification accuracy and ***-Net incorporates multi-scale convolutional blocks for spatial feature extraction,attention fusion layers for adaptive feature prioritization,graph convolutional layers to model inter-channel dependencies,and bidi-rectional LSTM layers with attention to capture temporal *** on an open-source EEG dataset of 50 acute stroke patients performing left and right MI tasks,GACL-Net achieved 99.52%classification accuracy and 97.43%generalization accuracy under leave-one-subject-out cross-validation,outperforming existing state-of-the-art ***,its real-time processing capability,with prediction times of 33–56 ms on a T4 GPU,underscores its clinical potential for real-time neurofeedback and adaptive *** findings highlight the model’s potential for clinical applications in assessing rehabilitation effectiveness and optimizing therapy plans through precise MI classification.

关键词： Motor imagery EEG stroke rehabilitation deep learning brain-computer interface

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