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Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).
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Available online , doi: 10.11999/JEIT240755
Abstract:
Objective Accurate segmentation of lesions in medical videos is crucial for clinical diagnosis and treatment. Unlike static medical images, videos provide continuous temporal information, enabling tracking of lesion evolution and morphological change...
Available online , doi: 10.11999/JEIT241082
Abstract:
Objective With the continuous increase in wireless communication traffic and the growing scarcity of spectrum resources, the overlapping frequency bands of communication and radar systems have led to mutual interference. Therefore, Integrated Sensing...
Available online , doi: 10.11999/JEIT241084
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Objective Direction estimation is a critical aspect of array signal processing technology. Array errors are inevitably introduced during the manufacturing and installation processes. To mitigate the negative effects of these errors on the accuracy an...
Research on Signal Detection of Adaptive O-OFDM Symbol Decomposition in Rough Set Information System
Available online , doi: 10.11999/JEIT240864
Abstract:
Objective Adaptive Optical Orthogonal Frequency Division Multiplexing Symbol Decomposition with Serial Transmission (O-OFDM-ASDST) effectively suppresses the nonlinear clipping distortion of Light-Emitting Diodes (LEDs) in Visible Light Communication...
Available online , doi: 10.11999/JEIT241150
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Objective With the rapid growth of air traffic and expanding airport infrastructure, airport surfaces have become increasingly complex and congested. Higher aircraft density on taxiways and runways, increased ground vehicles, and obstacles complicate...
Available online , doi: 10.11999/JEIT240664
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Objective This study addresses target localization in multistatic passive radar systems under conditions where the transmitter’s position and velocity are unknown. Multistatic passive radar systems utilize covert deployment, exhibit resilience to jam...
Available online , doi: 10.11999/JEIT240995
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Objective With the rapid development of Low Earth Orbit (LEO) satellite constellations and Integrated Sensing And Communication (ISAC) systems, performance optimization faces increasing challenges due to fixed power distribution, spectrum limitations...
Available online , doi: 10.11999/JEIT240798
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Objective With the advancement of information technology, information security concerns have become increasingly significant, making covert communication technology a critical area of focus. Existing schemes face limitations regarding embedding rate,...
Available online , doi: 10.11999/JEIT241029
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Objective Reconfigurable Intelligent Surface (RIS) technology enables dynamic reconfiguration of the wireless communication environment. Among recent advancements, Beyond-Diagonal RIS (BD-RIS) has emerged as a novel architecture, featuring a phase-sh...
Available online , doi: 10.11999/JEIT250109
Abstract:
Objective Beamforming array technology is a key enabler for modern radio systems, evolving across three primary dimensions: advancements in electromagnetic theory, innovations in semiconductor manufacturing, and iterations in system architectures. Th...
Available online , doi: 10.11999/JEIT241071
Abstract:
Significance Unmanned Aerial Vehicle-assisted Mobile Edge Computing (UAV-MEC) is recognized for its flexible deployment, rapid response, wide-area coverage, and distributed computing capabilities, demonstrating significant potential in smart cities, ...
Available online , doi: 10.11999/JEIT241079
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Objective With the introduction of reuse methodologies in integrated circuit design, the utilization of macro cells in Very Large Scale Integration (VLSI) has significantly increased. However, the considerable size difference between macro cells and ...
Available online , doi: 10.11999/JEIT250045
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Objective The rising demand for secure communication in sensitive data transmission scenarios has increased interest in covert communication research. Existing Device-to-Device (D2D) covert communication solutions typically employ additional uncertai...
Available online , doi: 10.11999/JEIT250018
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Objective Broadband noise is inevitable in sensing outputs due to thermal noise from the sensing system and various uncorrelated environmental disturbances. Adaptive filtering is a common method for removing such noise. At convergence, the adaptive f...
Available online , doi: 10.11999/JEIT240775
Abstract:
Objective Atrial Fibrillation (AF) is a common arrhythmia associated with increased mortality. The distribution and extent of left atrial fibrosis are critical for predicting the onset and persistence of AF, as fibrotic tissue alters cardiac electric...
Available online , doi: 10.11999/JEIT241017
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Objective Text detection, a critical branch of computer vision, has significant applications in text translation, autonomous driving, and hill information processing. Although existing text detection methods have improved detection performance, sever...
Available online , doi: 10.11999/JEIT240566
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Objective As wireless communication technology advances, sensing and communication systems are shifting toward higher frequency bands, larger antenna arrays, and miniaturization. This integration of hardware architecture, channel characteristics, and...
Available online , doi: 10.11999/JEIT240853
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Objective With the rapid increase in wireless devices and the growing demand for sensing services, Integrated Sensing and Communication (ISAC) has become a key technology to address spectrum scarcity. ISAC systems enable joint communication and sensi...
Available online , doi: 10.11999/JEIT240842
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Objective To address the issue of limited V2X communication and sensing paths in 6G dense urban environments, a RIS-assisted ISAC-V2X system framework is proposed. Considering vehicle mobility under Non-Line-of-Sight (NLOS) conditions, the Extended K...
Available online , doi: 10.11999/JEIT240928
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Objective Fire is a frequent disaster, and detecting early fire phenomena effectively can significantly reduce casualties. Traditional fire detection methods, which rely on sensor devices, struggle to accurately detect fires in open spaces. With the ...
Available online , doi: 10.11999/JEIT240936
Abstract:
Objective Mobile crowd sensing is recognized as one of the significant means for data collection, wherein a fundamental challenge lies in discovering the “truth” from a multitude of sensing data of varying quality. To address potential privacy leakag...
Available online , doi: 10.11999/JEIT241022
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Objective In traditional AirComp systems, the computational accuracy is directly affected by the alignment of received signal phases from different transmitters. When applied to distributed federated learning and distributed inference systems, phase ...
Available online , doi: 10.11999/JEIT250180
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This paper proposes a novel double-trench Silicon Carbide (SiC) MOSFET that integrates a Schottky diode structure to improve reverse recovery and switching characteristics. In the proposed design, the conventional right-side trench channel is replace...
Available online , doi: 10.11999/JEIT241105
Abstract:
Objective In various application scenarios such as Unmanned Aerial Vehicle (UAV) formation, emergency rescue, and low-altitude intelligent networks, passive localization technologies that offer low latency and high precision are of significant practi...
Available online , doi: 10.11999/JEIT250003
Abstract:
Objective With the emergence of the cloud era in the Internet of Things, cloud Application Programming Interfaces (APIs) have become essential for managing data element dynamics, facilitating AI algorithm implementation, and coordinating access to co...
Available online , doi: 10.11999/JEIT241116
Abstract:
Significance Unmanned Aerial Vehicles (UAVs) have attracted significant attention due to their flexibility, high mobility, and potential for widespread applications across various industries. The integration of UAVs with Integrated Sensing and Commun...
Available online , doi: 10.11999/JEIT240970
Abstract:
Objective Unmanned Aerial Vehicle (UAV)-assisted millimeter-Wave (mmWave) communication enables high-speed data transmission in diverse on-demand service and emergency scenarios. However, mmWave signals are inherently sensitive to blockage, leading t...
Available online , doi: 10.11999/JEIT241142
Abstract:
Objective Integrated Sensing and Communication (ISAC) is one of the six scenarios of 6G confirmed by the International Telecommunication Union (ITU). In particular, by enabling separable sensing transceivers, bi-static sensing is free from self-inter...
Available online , doi: 10.11999/JEIT250099
Abstract:
Objective One-sided differential privacy has received increasing attention in privacy protection due to its ability to shield sensitive information. This mechanism ensures that adversaries cannot substantially reduce uncertainty regarding record sens...
Available online , doi: 10.11999/JEIT240441
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Objective Traditional classifiers tend to optimize overall accuracy when dealing with imbalanced data sets, often resulting in poor classification performance for minority class samples. Among the available strategies, oversampling methods are widely...
Available online , doi: 10.11999/JEIT241114
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Objective The Sixth-Generation (6G) mobile communications network will evolve from being human-centered to agent-centered, enabling a deep integration of multi-dimensional functions such as communication, sensing, and computation. It will further adv...
Available online , doi: 10.11999/JEIT241152
Abstract:
Objective The low-altitude economy, driven by the widespread adoption of drones and other unmanned aerial vehicles (UAVs), supports a range of applications across industries such as aerial imaging, precision agriculture, disaster response, and logist...
Available online , doi: 10.11999/JEIT240848
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Objective Low Probability of Intercept (LPI) radar enhances stealth, survivability, and operational efficiency by reducing the likelihood of detection, making it widely used in military applications. However, accurately analyzing the intra-pulse modu...
Available online , doi: 10.11999/JEIT240390
Abstract:
Objective The growing reliance on data in today’s digital age highlights the importance of effective data management across industries. Federated Learning (FL), an innovative approach, facilitates data collaboration and joint model development while ...
Available online , doi: 10.11999/JEIT240835
Abstract:
Significance The Low Altitude Intelligent Network (LAIN) has emerged as a critical productive force in recent years, particularly with the growing strategic role of the low-altitude economy in national development plans. As an integral part of smart ...
Available online , doi: 10.11999/JEIT241111
Abstract:
Objective The widespread adoption of Unmanned Aerial Vehicles (UAVs) across civilian and military domains has introduced significant privacy and security challenges. Robust UAV identification and localization technologies are essential to address the...
Available online , doi: 10.11999/JEIT241151
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Significance The communication–sensing–computing integrated network, a central direction in the development of Sixth-Generation (6G) mobile communication systems, represents a shift toward intelligent network coordination. This architecture addresses...
Available online , doi: 10.11999/JEIT241074
Abstract:
Objective Aerial Target Intention Recognition (ATIR) predicts and assesses the intentions of non-cooperative targets by integrating information acquired and processed by various sensors. Accurate recognition enhances decision-making, aiding commander...
Available online , doi: 10.11999/JEIT240886
Abstract:
Objective The fusion of InfRared (IR) and VISible light (VIS) images is critical for enhancing visual perception in applications such as surveillance, autonomous navigation, and security monitoring. IR images excel in highlighting thermal targets und...
Available online , doi: 10.11999/JEIT241044
Abstract:
Objective Unmanned Aerial Vehicle (UAV) ad hoc networks have gained prominence in emergency and military operations due to their decentralized architecture and rapid deployment capabilities. However, the coexistence of saturated and unsaturated nodes...
Available online , doi: 10.11999/JEIT241026
Abstract:
Objective The opening of low-altitude airspace and the widespread deployment of Unmanned Aerial Vehicles (UAVs) have significantly increased low-altitude flight activities. Trajectory planning is essential for ensuring UAVs operate safely in complex ...
Dual-Memristor Brain-Like Chaotic Neural Network and Its Application in IoMT Data Privacy Protection
Available online , doi: 10.11999/JEIT241133
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Objective In recent years, frequent breaches of medical data have posed significant threats to patient privacy and health security, highlighting the urgent need for effective solutions to protect medical data privacy and security during transmission....
Available online , doi: 10.11999/JEIT240977
Abstract:
Objective Global Navigation Satellite Systems (GNSS) provide location, velocity, and timing services globally and are widely used. However, their signals are highly susceptible to interference from natural environments or human factors, and existing ...
Available online , doi: 10.11999/JEIT241091
Abstract:
Objective With the rapid development of 5G and Internet of Things (IoT) technologies and the increasing number of devices accessing wireless networks, Cognitive Radio (CR) technology offers an effective solution to alleviate spectrum resource scarcit...
Available online , doi: 10.11999/JEIT240440
Abstract:
Objective Virtual Reality Motion Sickness (VRMS) hinders the development of virtual reality technology and affects users’ experience, potentially threatening their health. Accurately assessing VRMS levels is essential for studying its causes and trea...
Available online , doi: 10.11999/JEIT240841
Abstract:
Objective Deep learning-based object detection typically requires a large volume of high-quality annotated samples, which limits its practical applicability. Few-Shot Object Detection (FSOD) has gained significant attention as a promising research ar...
Available online , doi: 10.11999/JEIT240811
Abstract:
Objective With continuous advancements in Integrated Circuit (IC) process technology, chip integration levels have steadily increased, driving higher market demands for performance. In the era of intelligence and digitalization, an inherent challenge...
Available online , doi: 10.11999/JEIT240855
Abstract:
Objective The rapid advancement of the Internet of Things and sensor technology has led to the accumulation of vast amounts of unlabeled time-series data, making deep time-series clustering a key analytical approach. However, existing deep clustering...
Available online , doi: 10.11999/JEIT240885
Abstract:
Objective The reciprocity, time variability, and unpredictability of wireless channels enable physical-layer key generation, a promising technology for B5G/6G systems due to its independence from third-party involvement and inherent quantum-resistant...
Available online , doi: 10.11999/JEIT240640
Abstract:
Objective Breathing rate is a vital physiological indicator of human health. Abnormal changes in this rate can signify diseases like chronic obstructive pulmonary disease, sleep apnea syndrome, and nocturnal hypoventilation syndrome. Timely and accur...
Available online , doi: 10.11999/JEIT240601
Abstract:
Objective: Next-generation communication networks will enhance converged “endogenous sensing” and communication service capabilities by improving information transmission. Integrated Sensing and Communication (ISAC) is a key technology for achieving ...
Available online , doi: 10.11999/JEIT240806
Abstract:
Significance The Internet of Things (IoT) has become a transformative technology in intelligent systems across diverse domains, including smart cities, industrial automation, and healthcare. However, traditional IoT systems, which isolate sensing, co...
Available online , doi: 10.11999/JEIT240716
Abstract:
Objective Traditional approaches typically adopt a disjoint design that improves specific performance aspects under particular scenarios but often proves inadequate for addressing complex tasks in dynamic environments. Challenges such as real-time ta...
Dynamic Spectrum Access Algorithm for Evaluating Spectrum Stability in Cognitive Vehicular Networks.
Available online , doi: 10.11999/JEIT240927
Abstract:
Objective With the exponential growth of vehicle terminals and the widespread adoption of cognitive vehicular network applications, the existing licensed spectrum resources are inadequate to meet the communication demands of Cognitive Vehicular Netwo...
Available online , doi: 10.11999/JEIT240905
Abstract:
Objective A set of orthogonal waveforms with favorable correlation properties enhances target detection and anti-jamming performance in Multiple-Input Multiple-Output (MIMO) radar systems. Jointly designing the transmit sequence set and receive filte...
Available online , doi: 10.11999/JEIT241008
Abstract:
Objective High-performance Micro-Electro-Mechanical Systems (MEMS) Electric Field Sensors (EFS) are essential for measuring atmospheric electric fields and non-contact voltage. The mode localization effect can significantly improve resolution and is ...
Available online , doi: 10.11999/JEIT240799
Abstract:
Objective The rapid development of Low-Altitude Intelligent Networks (LAINs) and the widespread adoption of Multi-access Edge Computing (MEC) have introduced challenges related to the random variability in task data sizes, which constrains the effici...
Available online , doi: 10.11999/JEIT240891
Abstract:
Objective Current research on tracker-oriented adversarial sample generation primarily focuses on the visible spectral band, leaving a gap in addressing multi-spectral conditions, particularly the infrared spectrum. To address this, this study propos...
Available online , doi: 10.11999/JEIT240980
Abstract:
Objective Single-sensor Simultaneous Localization and Mapping (SLAM) technology has limitations, including large mapping errors and poor performance in textureless or low-light environments. The 2D-SLAM laser performs poorly in natural and dynamic ou...
Available online , doi: 10.11999/JEIT240953
Abstract:
Objective The vast amount of unstructured cybersecurity information available online holds significant value. Named Entity Recognition (NER) in cybersecurity facilitates the automatic extraction of such information, providing a foundation for cyber t...
Available online , doi: 10.11999/JEIT240847
Abstract:
Objective Unmanned Aerial Vehicle-Assisted Federal Edge Learning (UAV-Assisted FEL) communication addresses the data isolation problem and mitigates data leakage risks in terminal devices. However, eavesdroppers may exploit model updates in FEL to re...
Available online , doi: 10.11999/JEIT240827
Abstract:
Objective With the ongoing advancement of the Internet of Things (IoT) and the increasing integration of communication devices, there is a growing need for miniaturized, low-profile, and polarized antennas. To meet these needs, Antenna-in-Package (Ai...
Available online , doi: 10.11999/JEIT241053
Abstract:
Objective Unmanned Aerial Vehicles (UAVs) tasked with customized operations, such as environmental monitoring and intelligent logistics, are referred to as opportunistic UAVs. These UAVs, while traversing the task area, can be leveraged by ground nod...
Available online , doi: 10.11999/JEIT240738
Abstract:
Objective The demand for Unmanned Aerial Vehicles (UAVs) in distributed sensing applications has increased significantly due to their low cost, flexibility, mobility, and ease of deployment. In these applications, the coordination of multi-UAV sensin...
Available online , doi: 10.11999/JEIT240966
Abstract:
Significance The air traffic management system is a critical national infrastructure that impacts both aerospace security and the safety of lives and property. With the widespread adoption of information, networking, and intelligent technologies, the...
Available online , doi: 10.11999/JEIT240644
Abstract:
Objective The increasing demand for wireless communication has led to a significant scarcity of spectrum resources, while the inherent coupling between communication and sensing systems allows for shared spectrum utilization. Integrated Sensing and C...
Available online , doi: 10.11999/JEIT240606
Abstract:
Objective With the widespread application of Unmanned Aerial Vehicle (UAV) communication technology in military and civilian domains, ensuring secure information transmission within UAV networks has received increasing attention. Covert communication...
Available online , doi: 10.11999/JEIT240823
Abstract:
Objective As demand for 4K and 8K Ultra High Definition (UHD) videos increases, the latest generation of video coding standards has been developed to meet the growing need for UHD video transmission. UHD video coding requires processing more pixels a...
Available online , doi: 10.11999/JEIT240719
Abstract:
Objective Vehicular networks, as key components of intelligent transportation systems, are encountering increasing spectrum resource limitations within their dedicated 25 MHz communication band, as well as challenges from electromagnetic interference...
Available online , doi: 10.11999/JEIT240503
Abstract:
Objective With the rapid increase in UAV numbers and the growing complexity of airspace environments, Detect-and-Avoid (DAA) technology has become essential for ensuring airspace safety. However, the existing Detection and Avoidance Alerting Logic fo...
Available online , doi: 10.11999/JEIT240446
Abstract:
Objective In the future, 6G will usher in a new era of intelligent interconnection and the integration of virtual and physical environments. This vision relies heavily on the deployment of numerous communication and sensing devices. However, the scar...
Available online , doi: 10.11999/JEIT221203
Abstract:
To overcome the limitation of the Federated Learning (FL) when the data and model of each client are all heterogenous and improve the accuracy, a personalized Federated learning algorithm with Collation game and Knowledge distillation (pFedCK) is pro...
To overcome the limitation of the Federated Learning (FL) when the data and model of each client are all heterogenous and improve the accuracy, a personalized Federated learning algorithm with Collation game and Knowledge distillation (pFedCK) is pro...
Available online , doi: 10.11999/JEIT210265
Abstract:
The application of Frequency Diverse Array and Multiple Input Multiple Output (FDA-MIMO) radar to achieve range-angle estimation of target has attracted more and more attention. The FDA can simultaneously obtain the degree of freedom of transmitting ...
The application of Frequency Diverse Array and Multiple Input Multiple Output (FDA-MIMO) radar to achieve range-angle estimation of target has attracted more and more attention. The FDA can simultaneously obtain the degree of freedom of transmitting ...
Available online , doi: 10.11999/JEIT201066
Abstract:
To solve the problem of Group Repetition Interval (GRI) selection in the construction of the enhanced LORAN (eLORAN) system supplementary transmission station, a screening algorithm based on cross interference rate is proposed mainly from the mathema...
To solve the problem of Group Repetition Interval (GRI) selection in the construction of the enhanced LORAN (eLORAN) system supplementary transmission station, a screening algorithm based on cross interference rate is proposed mainly from the mathema...
