2026 July-1 - 228 articles
In recent years, physiological signal-based biometrics has gained increasing attention due to its resistance to spoofing attacks, suitability for continuous authentication, and compatibility with wearable devices. This study investigates a multimodal...
Quantum computing algorithms are usually built by using gates and circuits to manipulate qubits. In this article, our analysis examines the impact of additive noise in a quantum circuit as an engineering simplification model. We evaluate these effect...
Aiming at the problems of the traditional Statistical Priority-Based Multiple Access (SPMA) protocol in multi-hop Flying Ad Hoc Networks (FANETs), such as single-dimensional queueing only according to priority, unreasonable First-In-First-Out (FIFO)...
Efficient data dissemination to mobile sink groups with heterogeneous spatial distributions that are globally sparse but locally dense remains a critical challenge in wireless sensor networks (WSNs). To address severe energy inefficiencies in convent...
Image segmentation in complex scenes remains challenging due to intensity inhomogeneity, intricate textures, and noise interference. Traditional active contour models (ACMs) offer topological adaptability while suffering from over-segmentation and bo...
In recent years, the rapid evolution of large artificial intelligence (AI) models has placed unprecedented demands on the computing power of data center servers, driving an explosive growth in data center computing requirements. The power consumption...
This paper investigates a near-field millimeter-wave (mmWave) integrated sensing and communication (ISAC) system under unknown interference. A base station equipped with a partially connected dynamic subarray hybrid architecture serves a legitimate u...
Alzheimer’s Disease (AD) necessitates high-resolution transcriptomic biomarkers for early detection, yet current computational methods are hampered by high-dimensional search space and publication bias regarding imbalanced datasets. We propose...
This research addresses cyber risk by defending against backdoor attacks on Graph Neural Networks (GNNs). We propose the Explainable Complex System-Mitigation Triangular (ECSMT) Framework, which integrates Robust Training, Graph Regularization, and D...
We investigate secure data transmission in a unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) sensing network, focusing on maximizing multi-sensor uplink secrecy capacity under practical power constraints and severe co-channel interfer...
This article presents the design and implementation of a control system for an adaptive light luminaire with variable light distribution. The developed solution enables dynamic shaping of the light distribution characteristics by simultaneously contr...
Pinching-antenna systems (PASSs) have emerged as a promising waveguide-based architecture for high-frequency wireless communications. Recent directional PASS studies have shown that practical pinching antennas (PAs) exhibit directional, pencil-like r...
Targeting the joint challenges posed by sparse graph topology, limited semantic expressiveness, and scarce annotation resources that commonly afflict knowledge graphs in the oil and gas pipeline safety domain, this paper presents a Multi-Information...
Single-image 3D reconstruction of stylized side-face characters remains challenging because profile-view inputs contain severe self-occlusion, missing frontal geometry, and stylized appearance cues that differ from the assumptions of generic reconstr...
If one compares the continuous-time convolution outputs with their sampled discrete counterparts, one may observe slight differences even when the sampling process itself is otherwise straightforward. This issue becomes noticeable when one or both co...
A robust procedure for compensating for inaccuracies caused by 3-D positioning errors in the measurement of the near-field (NF) data required by the non-redundant (NR) spherical near-to-far-field (NtFF) transformations for long antennas is presented...
The rapid expansion of microwave and millimeter-wave telecommunication systems has intensified the need for precise dielectric material characterization at high frequencies. As operating frequencies increase, small uncertainties in permittivity and l...
As AI-generated humanoid characters are increasingly used in virtual, augmented, and mixed reality applications, evaluating the Uncanny Valley Effect (UVE) is crucial for immersive user experience. Existing evaluation methods map visual features to a...
Surface deformation of a phased array antenna (PAA) induced by external loads can degrade its radiation performance. To restore the beam of a deformed PAA, this paper proposes a new strain–excitation mapping model (SEMM) capable of rapidly calc...
With the rapid development of networked cyber-physical systems, the coordinated control of heterogeneous multi-agent systems has attracted increasing attention in applications such as autonomous vehicles, robotic arms, and distributed sensor networks...
This paper presents a computationally efficient deep learning framework for accurate direction-of-arrival (DoA) estimation in portable radar applications. Leveraging a MobileNet architecture, the proposed model directly processes raw in-phase and qua...
Plain Language seeks to enhance the clarity and comprehensibility of legal and administrative communication; while Natural Language Processing (NLP) offers promising tools for assessing text complexity, most Plain Language classification studies focu...
To address the difficulty in quantitatively analyzing the impact of various control loops on the transient stability of DC sending-end systems under N–m contingencies, this paper proposes a transient stability analysis and transient performance...
We present in this paper an ultra-low-power impulse radio ultra-wideband (IR-UWB) transmitter intended for short-range, highly energy-efficient, and compact silicon-area applications, such as implantable brain–computer interfaces (iBCIs). The p...
Receiver mobility complicates channel state information (CSI) acquisition in fluid antenna system (FAS)-assisted grant-free random access (GFRA), because user activity and multi-port channels evolve across pilot frames. Existing FAS acquisition metho...
The BQ method, the most widely used technique for classifying tunnel surrounding rocks, requires correction factors including groundwater conditions, structural surface characteristics, and initial ground stress. However, existing deep learning appro...
Tiered Mobile Wireless Sensor Networks (TMWSNs), consisting of mobile sensor nodes and storage nodes, are widely used in various fields due to their scalability, energy efficiency, and flexibility. Most existing secure query algorithms assume that da...
Recent cyber incidents have become increasingly sophisticated through Living-off-the-Land (LotL) techniques that exploit legitimate behavior and multi-stage attacks. This requires advanced reasoning capabilities to discern the attack contexts within...
Cyber-physical power systems face multi-stage attacks that exploit both communication-network topology and power-grid interdependencies to reach critical substations from low-security entry points. Attack graphs systematically enumerate multi-step at...
Maritime UAV surveillance requires rapid, accurate identification of small surface targets amidst volatile sea states. Conventional detectors typically degrade under intense wave clutter, variable lighting, and edge computing constraints. To address...
Power quality disturbances (PQDs) in microgrids pose significant challenges to stable and reliable operation, particularly in tourism-oriented island systems with highly variable and uncertain load patterns. This paper proposes an interpretable PQD i...
Drone (UAV)-based ad hoc networks are highly vulnerable to Distributed Denial of Service (DDoS) attacks due to their resource constraints and dynamic connectivity. To ensure the survivability of UAVs, ultra-low latency early threat detection is essen...
With the continuous advancement of ocean exploration and development, energy supply for underwater electronic equipment has become a key bottleneck restricting long-term operation. Traditional wired power supply and battery-powered operation suffer f...
Cross-speed bearing fault diagnosis faces a physical obstacle: bearing characteristic frequencies are proportional to shaft speed, so identical faults shift in the spectrum when source and target speeds differ, and source-trained feature mappings deg...
This work presents an automated vision-based measurement system designed for the precise dimensional characterization of high-aspect-ratio micro-holes, achieving a relative dimensional error of less than 1% for characterizing high-aspect-ratio damage...
Class-incremental learning allows a model to continuously acquire new classes from sequentially arriving data while preserving its ability to recognize previously learned ones, which is essential for improving adaptability and supporting long-term ev...
Multi-UAV cooperative delivery is a key technology for intelligent low-altitude logistics, with applications in mountainous-area transport, urban last-mile delivery, and emergency resupply. In complex three-dimensional (3D) low-altitude environments,...
In this study, we present a novel adaptive algorithm, social learning-enhanced deep reinforcement learning (SLDRL), which integrates social learning mechanisms into deep reinforcement learning (DRL) to improve agent performance in both discrete and c...
Compact wireless electronic devices require charging interfaces that can support different receiver positions and orientations within limited spaces. In this context, a double-sided mixed-coupling structure can provide independent magnetic- and elect...
This paper presents an energy-recovering active snubber in which the energy captured by the snubber capacitor is transferred back to the converter’s input using an auxiliary inverting switching stage. The snubber operates independently of the m...
Radio frequency (RF) energy harvesting offers a potential power source for low-power Internet of Things and wireless sensing nodes, but compact rectifiers must balance impedance matching, multiband response, and load-driving capability. This work pre...
Accurate fault location is essential for improving the reliability and service restoration capability of distribution networks. With the increasing penetration of distributed generation, power electronic devices, and flexible loads, fault transient s...
Direction of arrival (DoA) estimation is a fundamental problem in modern communication systems, such as 5G/6G cellular systems, V2X, and radar. Modern DoA estimation techniques enhance signal reception, mitigate interference, enhance communication ef...
Fine-grained, authenticated, traceable, and efficient encrypted access control is indispensable for secure data sharing in mobile edge cloud networks, especially for resource-constrained data requesters. Despite the prevalence of outsourced ciphertex...
This paper proposes an Active Gate Driver (AGD) for a DC–DC boost converter based on Silicon Carbide (SiC) power devices, in which surge voltage and ringing arise from their fast-switching characteristics. In this work, a practical and simple 4...
Cost-based query optimizers are essential for relational database systems, but SQL formulation can still affect selected execution plans and runtime, especially in recurring analytical workloads and machine-generated queries. This paper proposes a fe...
Underwater surveillance systems require a multi-AUV-based multi-hop underwater data collection system to deliver data from sensor nodes distributed over a wide underwater area to a buoy. In this system, the node-visit of the data collection AUV and t...
Global Navigation Satellite System Reflectometry Interferometric Synthetic Aperture Radar (GNSS-R InSAR) offers all-weather, all-day observation capabilities and high temporal resolution, enabling elevation deformation monitoring with a single satell...
Theswitched reluctance motor (SRM) suffers from torque ripple and speed fluctuations because of its doubly salient structure, magnetic saturation, and discrete commutation. To improve commutation performance and disturbance rejection, this paper prop...
In maneuvering target tracking, traditional model-driven tracking algorithms require a predefined target motion model. The estimation accuracy degrades significantly when the actual target maneuver does not match the model assumption. Data-driven tra...
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