Electronics

This paper addresses safe coverage control for multi-agent systems on a spherical surface with obstacles. While centroidal Voronoi tessellation has been widely used for distributed coverage generation, its extension to spherical environments with safety constraints remains relatively underexplored. To address this problem, we propose a spherical coverage control framework that integrates spherica…

This study examines whether users of a containerized stock trading application may be classified from operational system logs and how the unit of analysis affects the resulting evaluation. The workload generator implements three predefined behavioral roles: read-only users, active trading users, and active users who additionally perform market analysis. A diagnostic event-level workflow treats in…

Integrated Sensing and Communication (ISAC) has emerged as a key enabling technology for future sixth-generation (6G) wireless networks by enabling sensing and communication functionalities to share spectrum, hardware resources, and signal processing infrastructure. However, practical ISAC systems are affected by self-interference, mutual interference between sensing and communication signals, an…

Channel fading and impulse noise in low-voltage station areas severely hinder data acquisition, and effective estimation of dual-mode channel data and state is the critical prerequisite for adaptive transmission. To address the impact of impulse noise on the performance of Orthogonal Frequency Division Multiplexing (OFDM) power line communication systems, this paper proposes a wireless-assisted j…

Open wireless propagation makes unmanned aerial vehicle (UAV) links vulnerable to eavesdroppers distributed over roads, building clusters, or other continuous regions. This paper proposes a low-rank threat-subspace method for cooperative secure beamforming from distributed ground transmitters to a legitimate UAV. Steering vectors sampled over one or multiple azimuth–elevation threat regions are c…

High photovoltaic (PV) penetration can reduce grid-energy imports but may worsen voltage performance in radial distribution feeders. This paper develops a unified mixed-discrete PV–BESS planning framework that jointly optimizes siting, sizing, hourly storage operation, and a common inverter voltage-support gain subject to inverter capability limits. Five metaheuristic algorithms are compared over…

Active Reconfigurable Intelligent Surface (RIS) architectures require unit-cell-level gain while keeping the per-element power consumption and fabrication cost low. This work presents a compact low-power reflection amplifier operating in C-band for 5G and 6G applications, implemented with a single SiGe HBT on a standard FR4 substrate. The design was carried out using nonlinear circuit simulations…

Sandwich composite floor panels are widely used in aircraft interior structures because of their lightweight and high stiffness-to-weight characteristics. However, the guided-wave response of such panels is strongly influenced by their multilayer configuration, honeycomb core, attenuation behavior, sensor-path geometry, and excitation frequency. In this study, an active guided-wave-based Structur…

Implicit neural representations (INRs) encode video frames as network weights, offering a new compression paradigm. A persistent limitation is that existing INR codecs train one model per target bitrate, so multi-rate deployment needs separate runs, separate checkpoints, and model reloading, costs that grow with the number of rate points. We propose a Generalized Slimmable Framework that replaces…

Induction motors remain the workhorse of modern industry thanks to their robustness, cost effectiveness and high efficiency, but the growing demands of electrified transport, high-performance automation and Industry 4.0 impose increasingly stringent control requirements. This paper presents an integrated, application-oriented survey of control strategies for high-performance induction motor drive…

The accelerated development of artificial intelligence, big data, and the Internet of Things has profoundly expanded the scale, sources, and application scenarios of data, which increasingly exhibit complex characteristics such as high dimensionality, heterogeneity, dynamics, and multimodality [...]

Automatic speech recognition (ASR) systems based on Conformer architectures achieve strong performance by jointly modeling local acoustic patterns and global contextual dependencies. However, their interleaved convolution–attention design leads to progressive entanglement of fine-grained acoustic features and global semantic representations, which weakens monotonic alignment in speech recognition…

Dynamic Movement Primitives (DMPs) are widely used for robot skill reproduction from demonstrations, but pose trajectory reproduction for continuous manipulation tasks remains challenging because translational and rotational motions must be represented consistently while maintaining accuracy, disturbance recovery, and terminal smoothness. Existing screw-displacement pose DMPs provide a geometrica…

STEM project-based learning (PBL) reports have long struggled with nonuniformity and subjectivity in assessing higher-order thinking skills. This study proposes a human-in-the-loop (HITL) enhanced multi-agent system to address these challenges. Drawing upon established assessment frameworks, the system operationalizes the evaluation of critical and creative thinking into a multi-stage automated p…

Gradient-boosted trees outperform neural networks on tabular data without privacy, often taken to imply that differentially private federated learning should be based on boosting. We revisit this implication under matched accounting—a single privacy-loss distribution accountant, cross-checked against Rényi accounting—and symmetric, per-budget tuning, and find limited support for this expectation.…

The proliferation of Edge-AI in personalized healthcare has driven significant demand for energy-efficient Systems-on-Chip (SoCs) capable of executing high-accuracy, real-time disease detection. Conventional accelerator architectures struggle to simultaneously accommodate disparate AI models. Specifically, memory-intensive Convolutional Neural Networks (CNNs) for high-fidelity feature extraction …

Cross-modal person re-identification between visible and infrared domains remains a challenging problem due to significant modality gaps. This paper presents a novel approach termed Intermediate Shared Feature Network (ISFNet) that explicitly addresses this issue by exploiting intermediate feature representations within a dual-stream backbone. Unlike conventional methods that primarily focus on f…

Rainbow tables are precomputed tables used to cache the output of cryptographic hash functions in a collection of chains consisting of alternating password and hash values constructed using a cryptographic hash function and a reduction function. Generating these tables is computationally intensive, and several researchers have proposed utilizing parallel computing to speed up the generation proce…

Toxicity detection models can behave inconsistently across Arabic dialects, yet the level of training-data imbalance at which dialect-conditioned bias becomes statistically detectable remains unquantified. This paper presents a controlled framework for measuring such bias under class-conditional distributional shift. Four transformer encoders (AraBERT, MARBERT, CAMeLBERT-DA, and XLM-RoBERTa) are …

Glass-substrate integrated passive device (IPD) technology is attractive for heterogeneous radio frequency (RF) integration, but realizing high-selectivity bandpass filters (BPFs) with wide stopbands within a constrained footprint remains challenging. This paper presents a 10.3–14 GHz BPF that addresses limitations by introducing a novel mutually coupled inductor–resonator topology. Rather than r…