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Shuju Caiji Yu Chuli
Scopus
ISSN 1004-9037 · Editorial Office of Journal of Data Acquisition and Processing · 138 artikel di indeks
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Artikel Jurnal
Dual‑module Interference Cancellation Scheme for UCCA‑OAM Communication System
Orbital angular momentum （OAM） is a technique that provides additional degrees of freedom to improve the spectral efficiency of wireless communication. However， its application typically requires strict alignment between the transmitting and receiving antennas to maintain modal orthogonality…
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Throughput Maximization of RSMA‑MEC System Collaboratively Assisted by Active RIS and DF Relay
To enhance the throughput of the mobile edge computing （MEC） system， this paper investigates a rate splitting multiple access （RSMA）-MEC system assisted by a collaborative combination of the active reconfigurable intelligent surface （RIS） and the decode-and-forward （DF） relay. In this system， the…
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Artikel Jurnal
Two‑Stage Remote Sensing Object Instance Segmentation Based on Harmonic Function Theory
Remote-sensing instance segmentation often suffers from ambiguous object boundaries and cluttered backgrounds， while adding heavy mask heads can increase computational cost and reduce deployment flexibility. This paper aims to develop a fast， accurate， and detector-agnostic mask-generation scheme…
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Speech Transmission System Based on Personalized Federated Learning and Semantic Communication
In multi-user speech transmission scenarios， the statistical heterogeneity of data among different users results in the transmission performance degradation if a uniform semantic communication based speech transmission model is used by all users. To address this problem， this paper proposes a novel…
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Artikel Jurnal
Whole Slide Pathology Image Classification Method Based on Deformable Attention and Multi‑scale Multi‑instance Learning
Whole slide images （WSIs） serve as the golden standard for pathological diagnosis， and their accurate classification provides critical information on tumor type， grade， and stage， which is essential for cancer prognosis and treatment strategy selection. In computational pathology， multi-instance…
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Artikel Jurnal
Sand‑Dust Image Enhancement Method Based on Color Cast Correction and Sky Segmentation
To address problems of color cast， low sharpness， and poor performance of dark channel prior methods in processing sky regions in sand dust images， a sand dust image enhancement method based on color cast correction and sky segmentation is proposed. First， color cast in sand dust images is…
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High Dynamic Range Imaging with Multiple Artifact Suppression and Multilevel Fusion
Due to the limitations of existing imaging equipment， it is difficult to obtain high dynamic range （HDR） images directly. High dynamic range imaging technology is designed to generate HDR images by processing low dynamic range （LDR） images. Most existing deep learning methods reconstruct HDR images…
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Trustworthy Remote Identification and Capacity Analysis for High‑Density Low‑Altitude UAV Safety
With the rapid development of the low‑altitude economy in China， the low‑altitude airspace is characterized by massive device connectivity and intensive spectrum utilization， posing significant challenges to the real‑time safety supervision of unmanned aerial vehicles （UAVs）. According to China’s…
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A Survey on Full‑Chain Cooperative Technology for Sea‑Air Heterogeneous Multi⁃agent Systems
This paper aims to systematically review the research progress in cooperative technologies for sea-air heterogeneous multi-agent systems， clarify their core cooperative paradigms， and reveal the systemic challenges arising from the tight coupling of the “perception， decision-making， and control”…
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Multi‑view Subspace Clustering Method Based on Tensor Low‑Rank Learning
Multi-view clustering is a powerful technique for improving analytical performance by fusing complementary multi-source information. However， there are deficient in two ways： It neglects the strong inherent correlation between representation tensors and affinity matrices， and the separate two-step…
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A Security‑Aware Collaborative Decision Optimization Algorithm for Multi‑UAV Systems
This paper addresses the dual challenge of security and robustness in collaborative decision-making for multi-UAV systems operating in dynamic and adversarial environments， where traditional approaches that decouple safety mechanisms from control policies often fail under anomalies. To this end， we…
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SAR Target Detection via Joint Spatial‑Channel Feature and Frequency Selection
Synthetic aperture radar （SAR） imagery is characterized by a large number of targets with diverse categories and significant scale variations， as well as highly complex background clutter caused by coherent speckle noise. These inherent properties substantially degrade detection accuracy and pose…
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Universal Adversarial Example Generation Method with High Transferability for Transformer‑Based Speech Recognition Models
In recent years， the emergence of the Transformer model has significantly enhanced the accuracy of automatic speech recognition technology. This research aims to address the critical security vulnerabilities in Transformer-based automatic speech recognition systems by enhancing the transferability…
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Research on UAV Multi‑modal Ultra‑Wide Spectrum Cognitive Instrument
The unmanned aerial vehicle （UAV） multi‑modal ultra‑wide spectrum cognitive instrument constructs an intelligent remote sensing system by deeply integrating visible light， infrared， synthetic aperture radar （SAR）， and wireless spectrum sensors. It aims to overcome fundamental bottlenecks in…
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Image Stitching of Rock Thin Sections Microscopic Images Based on Improved GLU‑Net
Rock thin-section microscopic images frequently exhibit complex local textures， blurriness， and high noise levels， posing significant challenges for traditional feature extraction and matching algorithms. These methods often fail to identify effective feature points in high-resolution rock…
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EEG Signal‑Driven Visual Image Reconstruction Model Based on Double Residual LSTM and DCGAN
Reconstructing visual images from electroencephalogram （EEG） signals has become an emerging frontier in brain-computer interface （BCI） research， offering substantial potential in medical image reconstruction， neural decoding， and cognitive state analysis. However， the inherently noisy，…
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High‑Precision Clock Synchronization Algorithm for General Aviation Swarms
High-precision clock synchronization is a fundamental technology enabling collaborative functions such as distributed sensing， formation control， and data fusion in general aviation swarms. However， in high-dynamic maneuvering scenarios， traditional round-trip time （RTT） synchronization methods…
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Multi‑objective Particle Swarm Algorithm for Location Selection Optimization Integrating Epsilon Constraint and Fuzzy Mathematical Programming
This study aims to address the critical challenges of spatial imbalance and low utilization efficiency in the siting of electric taxi charging facilities in large-scale urban environments. To this end， this paper proposes a multi-objective particle swarm optimization algorithm integrating…
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A Survey on Risks and Governance of Content Generated by Visual Generation Models
With breakthroughs in deep generative technologies such as diffusion models， visual generation models have achieved significant leaps in generation quality and semantic consistency， finding extensive applications in fields like artistic creation and industrial design. However， the powerful…