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Innovative Research in Applied Science, engineering and Technology (IRASET),Conference on

作者： Imane El Mhamedi Zakariae El Madani Abdelhafid Yahya Zakaria El Malki Materials and Systems Control (MMSC) Computer Engineering and Intelligent Electrical Systems (2ISEI) Laboratory High School of Technology (ESTM) University Moulay Ismail Meknes Morocco

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

This study focuses on the exploration of five novel π-conjugated organic compounds for potential incorporation into organic light-emitting diodes (OLEDs). The molecular structure of these compounds follows a D-Di-D setup, with a carbazole acting as the D component, and the specific Di component varying based on the donor utilized. Through analysis at the DFT/B3LYP/6-31G (d, p) level, including the determination of HOMO–LUMO energy values, after optimizing the molecules' ground state, the frontier molecular orbital (FMO) was studied using Egap band gap. Utilizing the TD-DFT and ZINDO method the optical properties like absorption (λmax) and emission (λem) were explored. Based on SILVACO-TCAD software, the estimated current-voltage (I-V) characteristics of the two most efficient molecules were obtained. The indices of the studied molecules calculated from these interactions indicates that the molecules have sufficient properties which allow these molecules to be considered promising candidates for use in OLED devices as high-performing active materials.

关键词： Photonic band gap Absorption Stimulated emission Stationary state Organic light emitting diodes Market research Software Orbits Optical devices Organic compounds

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Multi-User Visible Light Communications with Probabilistic Constellation Shaping and Precoding

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IEEE Transactions on Communications 2025年

作者： Nguyen, Thang K. Pham, Thanh V. Le, Hoang D. Nguyen, Chuyen T. Pham, Anh T. The Department of Computer Science and Engineering The University of Aizu Fukushima Japan The Department of Mathematical and Systems Engineering Shizuoka University Shizuoka Japan The School of Electrical and Electronic Engineering of Hanoi University of Science and Technology Hanoi Viet Nam

This paper proposes a joint design of probabilistic constellation shaping (PCS) and precoding to enhance the sum-rate performance of multi-user visible light communications (VLC) broadcast channels subject to signal amplitude constraint. In the proposed design, the transmission probabilities of bipolar M-pulse amplitude modulation (M-PAM) symbols for each user and the transmit precoding matrix are jointly optimized to improve the sum-rate performance. The joint design problem is shown to be a complex multivariate non-convex problem due to the non-convexity of the objective function. To tackle the original non-convex optimization problem, the firefly algorithm (FA), a nature-inspired heuristic optimization approach, is employed to solve a local optima. The FA-based approach, however, suffers from high computational complexity. Thus, using zero-forcing (ZF) precoding, we propose a low-complexity design, which is solved using an alternating optimization approach. Additionally, considering the channel uncertainty, a robust design based on the concept of end-to-end learning with autoencoder (AE) is also presented. Simulation results reveal that the proposed joint design with PCS significantly improves the sum-rate performance compared to the conventional design with uniform signaling. For instance, the joint design achieves 17.5% and 19.2% higher sum-rate for 8-PAM and 16-PAM, respectively, at 60 dB peak amplitude-to-noise ratio. Some insights into the optimal symbol distributions of the two joint design approaches are also provided. Furthermore, our results show the advantage of the proposed robust design over the non-robust one under uncertain channel conditions. © 1992-2012 IEEE.

关键词： Convex optimization

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Room-scale magnetoquasistatic wireless power transfer using a cavity-based multimode resonator

arXiv

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arXiv 2025年

作者： Sasatani, Takuya Sample, Alanson P. Kawahara, Yoshihiro Department of Electrical Engineering and Information Systems Graduate School of Engineering The University of Tokyo Bunkyo-ku Tokyo Japan Electrical Engineering and Computer Science Department University of Michigan Ann ArborMI United States

Magnetoquasistatic wireless power transfer can be used to charge and power electronic devices such as smartphones and small home appliances. However, existing coil-based transmitters, which are composed of wire conductors, have a limited range. Here, we show that multimode-quasistatic cavity resonance can provide room-scale wireless power transfer. The approach uses multidirectional, widely distributed currents on conductive surfaces that are placed around the target volume. It generates multiple, mutually unique, three-dimensional magnetic field patterns, where each pattern is attributed to different eigenmodes of a single room scale resonator. Using these modes together, a power delivery efficiency exceeding 37.1% can be achieved throughout a 3 m × 3 m × 2 m test room. With this approach, power exceeding 50 W could potentially be delivered to mobile receivers, while in accordance with safety guidelines. Copyright © 2025, The Authors. All rights reserved.

关键词： Inductive power transmission

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Joint Task Partitioning and Resource Allocation in UAV-Enabled Vehicular Edge Computing Based on Deep Reinforcement Learning

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IEEE Internet of Things Journal 2025年第11期12卷 15453-15466页

作者： Liang, Hongbin Zhang, Han Ale, Laha Hong, Xintao Wang, Lei Jia, Qiong Zhao, Dongmei Southwest Jiaotong University School of Transportation and Logistics National United Engineering Laboratory of Integrated and Intelligent Transportation National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu611756 China Southwest Jiaotong University School of Computing and Artificial Intelligence Chengdu611756 China Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Chinese Academy of Sciences Laboratory of Noise and Vibration Research Institute of Acoustics Beijing100190 China McMaster University Department of Electrical and Computer Engineering HamiltonONL8S 4K1 Canada

Vehicle Edge Computing (VEC) leverages compact cloud computing at the mobile network edge to meet the processing and latency needs of vehicles. By bringing computation closer to the vehicles, VEC reduces data transmission, minimizes latency, and boosts performance for compute-intensive applications. However, during peak hours of urban road traffic, the scarce computational resources available at edge servers could pose challenges in fulfilling the processing needs of vehicles. Introducing Unmanned Aerial Vehicles (UAVs) as supplementary edge computing nodes could significantly mitigate the aforementioned issue. In this paper, we propose a flexible edge computing framework in which a fleet of UAVs function as mobile computational service providers, offering computation offloading services to multiple vehicles. We design and optimize a computation offloading model for the UAV-enabled vehicle edge computing environment. The proposed model tackles the task offloading challenge, aiming to optimize UAV revenue and task processing efficiency while considering the constraints of UAVs' restricted computational power and energy resources. Towards this end, our model jointly considers two key factors: task partitioning and computational resource allocation. To tackle the challenges posed by the aforementioned non-convex optimization problem, we construct a Markov Decision Process (MDP) model for the multi-UAV-enabled mobile edge computing system and introduce an innovative Multi-Agent Deep Reinforcement Learning (MADRL) framework addressing the decision-making challenge represented by MDP model. Comprehensive simulation outcomes illustrate that our devised task offloading technique outperforms other optimization methods. © 2014 IEEE.

关键词： Convex optimization

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Evolutionary Paths to Systematically Unlocking the Frequency-Selective Potential of 3D Meta-Atoms

Evolutionary Paths to Systematically Unlocking the Frequency...

引用

Australian Microwave Symposium (AMS)

作者： Xiaojing Lv Zhen Luo J. Scott Tyo Yang Yang School of Electrical and Data Engineering University of Technology Sydney Australia School of Mechanical and Mechatronic Engineering University of Technology Sydney Australia Department of Electrical and Computer Systems Engineering Monash University Australia

ISBN: (数字)9798350379969

ISBN: (纸本)9798350379976

This paper highlights the benefits of advanced multi-material 3D printing technology in enhancing the electromagnetic performance of metasurfaces. By systematically evolving geometric structures, the proposed bandpass filtering meta-atom outperforms existing designs in key metrics, including bandwidth, out-of-band suppression, in-band insertion loss, and transition band steepness, underscoring the significant potential of 3D unit cells. Through the integration of qualitative approach and semi-analytical design algorithm, the geometric topology is fully optimized without imposing substantial computational demands.

关键词： Measurement Electric potential Filtering Insertion loss Bandwidth Three-dimensional printing Metasurfaces Topology Microwave filters Electromagnetics

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Artificial Intelligence-Driven Optimization for Three-Dimensional Integrated Circuit Manufacturing: A System of systems Framework

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IEEE Transactions on Components, Packaging and Manufacturing Technology 2025年

作者： Sheikh, Arifuzzaman Chong, Edwin K. P. Colorado State University Department of Systems Engineering Fort CollinsCO80523 United States Colorado State University Department of Electrical and Computer Engineering Fort CollinsCO80523 United States

This paper introduces an Artificial Intelligence (AI)-driven framework for optimizing Three-Dimensional Integrated Circuit (3D-IC) manufacturing through a System of systems (SoS) approach. Our framework integrates defect detection, process optimization, and electrical failure prediction using advanced methodologies, notably Convolutional Neural Networks (CNNs), Random Forest Classifiers, and Long Short-Term Memory (LSTM) networks. By dynamically aligning subsystem outputs with global manufacturing objectives, our framework addresses key challenges in Through-Silicon Via (TSV) formation, defect reduction, and yield enhancement. Adaptive optimization techniques—including simulated annealing and dual annealing—are employed to refine critical parameters such as TSV depth, deposition rate, and etching temperature. Achieving a global yield of 58.48%, the proposed approach demonstrates its scalability and effectiveness in reducing defect rates while ensuring high manufacturing reliability. This research establishes a foundation for advancing AI-driven decision-making in complex manufacturing systems, bridging theoretical innovations and practical implementation. © 2025 IEEE. All rights reserved.

关键词： Simulated annealing

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Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models

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IEEE Transactions on Power systems 2025年

作者： Cheng, Yuanbin Yamashita, Koji Follum, Jim Yu, Nanpeng University of California Department of Electrical and Computer Engineering RiversideCA92521 United States Pacific Northwest National Laboratory RichlandWA United States

The global deployment of the phasor measurement units (PMUs) enables real-time monitoring of the power system, which has stimulated considerable research into machine learning-based models for event detection and classification. However, recent studies reveal that machine learning-based methods are vulnerable to adversarial attacks, which can fool the event classifiers by adding small perturbations to the raw PMU data. Research on defense strategies is urgently needed to mitigate the threats posed by adversarial attacks. This paper proposes an effective adversarial purification method based on the diffusion probabilistic model to counter adversarial attacks on the machine learning-based power system event classifier. The proposed method includes two steps: first, injecting noise into the PMU data, and then utilizing a pre-trained neural network to eliminate the added noise while simultaneously removing perturbations introduced by the adversarial attacks. The proposed adversarial purification method significantly increases the accuracy of the event classifier under adversarial attacks while satisfying the requirements of real-time operations. In addition, the theoretical analysis reveals that the proposed diffusion model-based adversarial purification method decreases the distance between the original and attacked PMU data, reducing the adversarial attacks' impacts. The empirical results on a large-scale real-world PMU dataset validate the effectiveness and computational efficiency of the proposed adversarial purification method. © 2025 IEEE.

关键词： Phasor measurement units

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Impact of Mobile Phone Usage on Delivery and Private Riders’ Safety in Marrakech

Impact of Mobile Phone Usage on Delivery and Private Riders...

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Innovative Research in Applied Science, engineering and Technology (IRASET),Conference on

作者： Ayoub Charef Zahi Jarir Mohamed Quafafou LAMIGEP Research Laboratory EMSI Moroccan School of Engineering Sciences Marrakech Laboratory of Computer Systems Engineering (LISI) Cadi Ayyad University Marrakech Marrakech Morocco Department of Computer Science University of Aix-Marseille Marseille France

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

This study examines the safety behaviors of delivery and private motorcycle riders in Marrakech, Morocco, with a particular focus on mobile phone distractions. Data were collected over a two-week period at five key intersections, recording 5731 riders during peak traffic hours. Trained observers captured rider characteristics, traffic context, and unsafe behaviors at different times of day morning, noon, and evening to account for variations in traffic conditions. Decision tree analysis was used to explore the relationships between rider type, road conditions, time of day, gender, and mobile phone usage while riding. The findings revealed that private riders were more likely to use mobile phones while riding compared to delivery riders. Unsafe behaviors were influenced by environmental factors, rider demographics, and the timing of the behaviors. Significant differences in behavior were observed between private and delivery riders, with gender also playing a role in safety practices. These results highlight the need for targeted interventions, including educational campaigns to address mobile phone and policies designed for specific rider groups.

关键词： Visualization Head Motorcycles Mobile handsets Weaving Road safety Safety Timing Decision trees Vehicle dynamics

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NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing

arXiv

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arXiv 2025年

作者： Walters, Ben Bethi, Yeshwanth Kergan, Taylor Nguyen, Binh Amirsoleimani, Amirali Eshraghian, Jason K. Afshar, Saeed Azghadi, Mostafa Rahimi College of Science and Engineering James Cook University Townsville Australia International Centre for Neuromorphic Systems Western Sydney University Australia Department of Electrical Engineering and Computer Science York University Toronto Canada Department of Electrical and Computer Engineering University of California Santa Cruz United States

Neuromorphic engineering aims to advance computing by mimicking the brain’s efficient processing, where data is encoded as asynchronous temporal events. This eliminates the need for a synchronisation clock and minimises power consumption when no data is present. However, many benchmarks for neuromorphic algorithms primarily focus on spatial features, neglecting the temporal dynamics that are inherent to most sequence-based tasks. This gap may lead to evaluations that fail to fully capture the unique strengths and characteristics of neuromorphic systems. In this paper, we present NeuroMorse, a temporally structured dataset designed for benchmarking neuromorphic learning systems. NeuroMorse converts the top 50 words in the English language into temporal Morse code spike sequences. Despite using only two input spike channels for Morse dots and dashes, complex information is encoded through temporal patterns in the data. The proposed benchmark contains feature hierarchy at multiple temporal scales that test the capacity of neuromorphic algorithms to decompose input patterns into spatial and temporal hierarchies. We demonstrate that our training set is challenging to categorise using a linear classifier and that identifying keywords in the test set is difficult using conventional methods. The NeuroMorse dataset is available at 10.5281/zenodo.12702379, with our accompanying code at https://***/jc427648/NeuroMorse. © 2025, CC BY.

关键词： Spatio-temporal data

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UAS Traffic Management: Integrating Weather Information using System Adaptability

UAS Traffic Management: Integrating Weather Information usin...

引用

Annual IEEE systems Conference

作者： William Brooks V. Chandrasekar Rob Cifelli Systems Engineering Department Colorado State University Ft. Collins CO Electrical and Computer Engineering Department Colorado State University Ft. Collins CO NOAA Physical Sciences Laboratory Boulder CO

ISBN: (数字)9798331508180

ISBN: (纸本)9798331508197

Unmanned Aerial Vehicles (UAVs), or drones, are becoming increasingly prevalent in the commercial and defense sectors, operating throughout the continental United States airspace. UAVs have wing sizes ranging from 0.25 centimeters to 61 meters, and they perform a myriad of roles from job site surveillance to 3D mapping of agricultural fields. However, a UAV is not a standalone system, but joins a ground control system, pilot and communications network to form an Unmanned Aircraft System (UAS) platform. With the various UAS platforms of different UAV sizes and missions, the Federal Aviation Administration (FAA) is developing a UAS Traffic Management (UTM) system to safely integrate them into the airspace. UAS ground systems require ingestion, processing, compilation and dissemination of weather data specific to a local area. The NOAA Advanced Quantitative Precipitation Information (AQPI) system has proven to reliably perform these functions. Expanding the mission for a system changes the requirements originally used to design the system. The ability of a system to adjust is the foundation of System Adaptability. Using the concept of System Adaptability and leveraging the existing Digital Twin of the Bay Area AQPI, this paper presents the theoretical application of adapting the San Francisco Bay Area AQPI system to provide meteorological information to UAS platforms operating under the Bay Area UTM.

关键词： Meters Three-dimensional displays Precipitation Surveillance FAA Autonomous aerial vehicles systems engineering and theory Reliability engineering Digital twins National Oceanic and Atmospheric Administration

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