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2024 Vol. 46, No. 2
column
- Cover
- Special Topic on Frontiers and Applications of New Generation Artificial Intelligence
- Image and Intelligent Information Processing
- Wireless Communication，Internet of Things and Digital Signal Processing
- Electromagnetic Field and Electromagnetic Wave Technology
- Circuit and System Design
- Cryption and Network Information Security
Display Method:
2024, 46(2): 383-407.
doi: 10.11999/JEIT230889
Abstract:
Set Pair Theory(SPT) regards the spacetime of things as a Deterministic Uncertainty(D-U) spacetime which is both definite and uncertain, treats certainty and uncertainty of things as a system of certainty and uncertainty, and “Objective recognition, ...
Set Pair Theory(SPT) regards the spacetime of things as a Deterministic Uncertainty(D-U) spacetime which is both definite and uncertain, treats certainty and uncertainty of things as a system of certainty and uncertainty, and “Objective recognition, ...
2024, 46(2): 408-427.
doi: 10.11999/JEIT230749
Abstract:
Artificial Intelligence(AI) develops in full swing with a great potential to surpass human, leading many people to believe that a singularity is imminent and that strong AI is about to be realized. This is a misconception of strong AI, because the co...
Artificial Intelligence(AI) develops in full swing with a great potential to surpass human, leading many people to believe that a singularity is imminent and that strong AI is about to be realized. This is a misconception of strong AI, because the co...
2024, 46(2): 428-442.
doi: 10.11999/JEIT230541
Abstract:
As a distributed machine learning approach that preserves data ownership while releasing data usage rights, federated learning overcomes the challenge of data silos that hinder large-scale modeling with big data. However, the characteristic of only s...
As a distributed machine learning approach that preserves data ownership while releasing data usage rights, federated learning overcomes the challenge of data silos that hinder large-scale modeling with big data. However, the characteristic of only s...
2024, 46(2): 443-455.
doi: 10.11999/JEIT230952
Abstract:
Brain-Computer Interface (BCI) system establishes a direct communication pathway between the brain and external devices, and combined with the Rapid Serial Visual Presentation (RSVP) paradigm, it can achieve high-throughput target image retrieval by ...
Brain-Computer Interface (BCI) system establishes a direct communication pathway between the brain and external devices, and combined with the Rapid Serial Visual Presentation (RSVP) paradigm, it can achieve high-throughput target image retrieval by ...
2024, 46(2): 456-471.
doi: 10.11999/JEIT230122
Abstract:
In recent years, there has been a growing interest in unmanned ground vehicle clustering as a research topic in the unmanned driving field for its low cost, good secuity, and high autonomy. Various collaborative strategies have been proposed for unma...
In recent years, there has been a growing interest in unmanned ground vehicle clustering as a research topic in the unmanned driving field for its low cost, good secuity, and high autonomy. Various collaborative strategies have been proposed for unma...
2024, 46(2): 472-480.
doi: 10.11999/JEIT231069
Abstract:
Deep unfolding network based Block Compressed Sensing (BCS) methods typically remove some signal and retain certain block artifacts simultaneously during iterative deartifacting, which is unfavorable for signal recovery. To enhance reconstruction per...
Deep unfolding network based Block Compressed Sensing (BCS) methods typically remove some signal and retain certain block artifacts simultaneously during iterative deartifacting, which is unfavorable for signal recovery. To enhance reconstruction per...
2024, 46(2): 481-491.
doi: 10.11999/JEIT231072
Abstract:
Multimodal hashing can convert heterogeneous multimodal data into unified binary codes. Due to its advantages of low storage cost and fast Hamming distance sorting, it has attracted widespread attention in large-scale multimedia retrieval. Existing m...
Multimodal hashing can convert heterogeneous multimodal data into unified binary codes. Due to its advantages of low storage cost and fast Hamming distance sorting, it has attracted widespread attention in large-scale multimedia retrieval. Existing m...
2024, 46(2): 492-502.
doi: 10.11999/JEIT230547
Abstract:
Precipitation nowcasting has always been a hot research topic in weather forecasting. Traditional forecasting methods are based on numerical weather prediction. But recently the radar extrapolation-based methods using deep learning have attracted man...
Precipitation nowcasting has always been a hot research topic in weather forecasting. Traditional forecasting methods are based on numerical weather prediction. But recently the radar extrapolation-based methods using deep learning have attracted man...
2024, 46(2): 503-517.
doi: 10.11999/JEIT230731
Abstract:
High-precision photovoltaic power prediction is of great significance for improving the operation efficiency of power system. Photovoltaic power is affected by many factors, among which cloud change is the most important uncertain factor. However, th...
High-precision photovoltaic power prediction is of great significance for improving the operation efficiency of power system. Photovoltaic power is affected by many factors, among which cloud change is the most important uncertain factor. However, th...
2024, 46(2): 518-526.
doi: 10.11999/JEIT230614
Abstract:
In the current research on cross-modal person re-identification technology, most existing methods reduce cross-modal differences by using single modal original visible light images or locally shared features of adversarially generated images, resulti...
In the current research on cross-modal person re-identification technology, most existing methods reduce cross-modal differences by using single modal original visible light images or locally shared features of adversarially generated images, resulti...
2024, 46(2): 527-537.
doi: 10.11999/JEIT230726
Abstract:
Pedestrian trajectory prediction has been widely used in several fields, such as autonomous driving and robot navigation. In trajectory prediction, some uncertain information, such as the uncertainty of trajectory information discrimination in the di...
Pedestrian trajectory prediction has been widely used in several fields, such as autonomous driving and robot navigation. In trajectory prediction, some uncertain information, such as the uncertainty of trajectory information discrimination in the di...
2024, 46(2): 538-545.
doi: 10.11999/JEIT230857
Abstract:
In order to improve the joint control effect of multi-crossing, Multi-Agent Deep Recurrent Q-Network (MADRQN) for real-time control of multi-intersection traffic signals is proposed in this paper. Firstly, the traffic light control is modeled as a Ma...
In order to improve the joint control effect of multi-crossing, Multi-Agent Deep Recurrent Q-Network (MADRQN) for real-time control of multi-intersection traffic signals is proposed in this paper. Firstly, the traffic light control is modeled as a Ma...
2024, 46(2): 546-554.
doi: 10.11999/JEIT230981
Abstract:
The research on speech-based Parkinson’s disease detection has the advantages of non-intrusive, low cost and non-invasive. The current publicly available speech datasets for Parkinson’s disease mostly originate from single-language speech, which has ...
The research on speech-based Parkinson’s disease detection has the advantages of non-intrusive, low cost and non-invasive. The current publicly available speech datasets for Parkinson’s disease mostly originate from single-language speech, which has ...
2024, 46(2): 555-563.
doi: 10.11999/JEIT230934
Abstract:
The gravity of cardiovascular disease hazards necessitates the utmost importance of preventive measures and early diagnosis for such ailments. Conventional manual auscultation techniques and computer-based diagnostic methods prove inadequate in meeti...
The gravity of cardiovascular disease hazards necessitates the utmost importance of preventive measures and early diagnosis for such ailments. Conventional manual auscultation techniques and computer-based diagnostic methods prove inadequate in meeti...
2024, 46(2): 564-573.
doi: 10.11999/JEIT230893
Abstract:
Ancient inscriptions carry rich historical and cultural information. However, due to natural weathering and man-made destruction, the text information on the inscriptions is incomplete. The semantic information of ancient inscriptions is diverse and ...
Ancient inscriptions carry rich historical and cultural information. However, due to natural weathering and man-made destruction, the text information on the inscriptions is incomplete. The semantic information of ancient inscriptions is diverse and ...
2024, 46(2): 574-587.
doi: 10.11999/JEIT231110
Abstract:
There are usually two challenging issues in the field of bimodal emotion recognition combining ElectroEncephaloGram (EEG) and facial images: (1) How to learn more significant emotionally semantic features from EEG signals in an end-to-end manner; (2)...
There are usually two challenging issues in the field of bimodal emotion recognition combining ElectroEncephaloGram (EEG) and facial images: (1) How to learn more significant emotionally semantic features from EEG signals in an end-to-end manner; (2)...
2024, 46(2): 588-601.
doi: 10.11999/JEIT231107
Abstract:
Most multimodal emotion recognition methods aim to find an effective fusion mechanism to construct the features from heterogeneous modalities, so as to learn the feature representation with semantic consistency. However, these methods usually ignore ...
Most multimodal emotion recognition methods aim to find an effective fusion mechanism to construct the features from heterogeneous modalities, so as to learn the feature representation with semantic consistency. However, these methods usually ignore ...
2024, 46(2): 602-614.
doi: 10.11999/JEIT230097
Abstract:
With the development of immersive media technologies such as virtual reality and augmented reality, the presentationm, storage and transmission of immersive video has received a lot of attention in both research and industry field. Due to the more co...
With the development of immersive media technologies such as virtual reality and augmented reality, the presentationm, storage and transmission of immersive video has received a lot of attention in both research and industry field. Due to the more co...
2024, 46(2): 615-623.
doi: 10.11999/JEIT230079
Abstract:
The analysis of player trajectory data using machine learning to obtain offensive or defensive tactics is a crucial component of understanding basketball video content. Traditional machine learning methods require the setting of feature variables man...
The analysis of player trajectory data using machine learning to obtain offensive or defensive tactics is a crucial component of understanding basketball video content. Traditional machine learning methods require the setting of feature variables man...
2024, 46(2): 624-632.
doi: 10.11999/JEIT230052
Abstract:
Multimodal medical images can provide more semantic information at the same lesion. To address the problems that cross-modal semantic features are not fully considered and model complexity is too high, a Cross-modal Lightweight YOLOv5(CL-YOLOv5) lung...
Multimodal medical images can provide more semantic information at the same lesion. To address the problems that cross-modal semantic features are not fully considered and model complexity is too high, a Cross-modal Lightweight YOLOv5(CL-YOLOv5) lung...
2024, 46(2): 633-642.
doi: 10.11999/JEIT230013
Abstract:
The encoding and decoding efficiency of 3D Hilbert Space Filling Curve (3D HSFC) is key for the application of spatial query processing, image processing. The existing 3D encoding and decoding algorithms encode and decode each point independently, ig...
The encoding and decoding efficiency of 3D Hilbert Space Filling Curve (3D HSFC) is key for the application of spatial query processing, image processing. The existing 3D encoding and decoding algorithms encode and decode each point independently, ig...
2024, 46(2): 643-651.
doi: 10.11999/JEIT230056
Abstract:
Due to the high uncertainty in the estimation of the light component decomposition, how to accurately estimate the light component of an image has been a challenge to be addressed by image enhancement methods based on the Retinex model. An effective ...
Due to the high uncertainty in the estimation of the light component decomposition, how to accurately estimate the light component of an image has been a challenge to be addressed by image enhancement methods based on the Retinex model. An effective ...
2024, 46(2): 652-661.
doi: 10.11999/JEIT230117
Abstract:
To improve spectral efficiency, transmission robustness, and information security of backscatter communication networks, a robust secure resource allocation algorithm is proposed for cognitive backscatter communication networks with hardware impairme...
To improve spectral efficiency, transmission robustness, and information security of backscatter communication networks, a robust secure resource allocation algorithm is proposed for cognitive backscatter communication networks with hardware impairme...
2024, 46(2): 662-670.
doi: 10.11999/JEIT230129
Abstract:
AI-based quality inspection is an important part of intelligent manufacturing, where the devices produce a large amount of computation-intensive and time-sensitive tasks. Owing to the insufficient computation capability of end devices, the latency to...
AI-based quality inspection is an important part of intelligent manufacturing, where the devices produce a large amount of computation-intensive and time-sensitive tasks. Owing to the insufficient computation capability of end devices, the latency to...
2024, 46(2): 671-679.
doi: 10.11999/JEIT230086
Abstract:
In order to solve the imbalance problem between power consumption and transmission in low orbit satellite communication systems caused by the limited resource, a robust resource allocation algorithm is proposed to maximize the minimum energy efficien...
In order to solve the imbalance problem between power consumption and transmission in low orbit satellite communication systems caused by the limited resource, a robust resource allocation algorithm is proposed to maximize the minimum energy efficien...
2024, 46(2): 680-687.
doi: 10.11999/JEIT230072
Abstract:
In this paper, a channel estimation scheme based on model-driven deep learning algorithm is proposed for Single Input Single Output (SISO) Orthogonal Time Frequency Space (OTFS) modulation systems. First, the Denoising Approximate Message Passing (DA...
In this paper, a channel estimation scheme based on model-driven deep learning algorithm is proposed for Single Input Single Output (SISO) Orthogonal Time Frequency Space (OTFS) modulation systems. First, the Denoising Approximate Message Passing (DA...
2024, 46(2): 688-696.
doi: 10.11999/JEIT230068
Abstract:
The use of the multicomponent Linear Frequency Modulated (LFM) signals for estimating the underwater acoustic Doppler factor and time delay estimation is increasingly common in the practical process. An adaptive chirp-mode-decomposition algorithm bas...
The use of the multicomponent Linear Frequency Modulated (LFM) signals for estimating the underwater acoustic Doppler factor and time delay estimation is increasingly common in the practical process. An adaptive chirp-mode-decomposition algorithm bas...
DOA Estimation of Direction Vector Estimation Algorithm Based on Second-order Statistical Properties
2024, 46(2): 697-704.
doi: 10.11999/JEIT230172
Abstract:
In order to reduce the influence of errors of antenna array manifold on Direction of Arrival (DOA) estimation results, and to overcome the shortcoming of DOA estimation algorithm based on traditional blind source separation algorithm that can not be ...
In order to reduce the influence of errors of antenna array manifold on Direction of Arrival (DOA) estimation results, and to overcome the shortcoming of DOA estimation algorithm based on traditional blind source separation algorithm that can not be ...
2024, 46(2): 705-712.
doi: 10.11999/JEIT230067
Abstract:
Design investigation of a leaky-wave antenna aimed to acquire continuous beam scanning from the backfire direction to the endfire direction is presented on a Double-Sided Parallel-Strip Line (DSPSL) structure. The unit cell comprises a DSPSL structur...
Design investigation of a leaky-wave antenna aimed to acquire continuous beam scanning from the backfire direction to the endfire direction is presented on a Double-Sided Parallel-Strip Line (DSPSL) structure. The unit cell comprises a DSPSL structur...
2024, 46(2): 713-719.
doi: 10.11999/JEIT230098
Abstract:
Efficient field-circuit synchronous simulation techniques used for the coupling analysis of Transmission Line (TL) network with complex circuits excited by ambient wave are still rare. In this work, the TL equations are combined with the Norton’s the...
Efficient field-circuit synchronous simulation techniques used for the coupling analysis of Transmission Line (TL) network with complex circuits excited by ambient wave are still rare. In this work, the TL equations are combined with the Norton’s the...
2024, 46(2): 720-727.
doi: 10.11999/JEIT230102
Abstract:
In the Surface Nuclear Magnetic Resonance (SNMR) water searching system, the parameters of SNMR signals can be used to predict the water storage, electrical conductivity, pore structure of underground aquifer. However, the SNMR signals collected on s...
In the Surface Nuclear Magnetic Resonance (SNMR) water searching system, the parameters of SNMR signals can be used to predict the water storage, electrical conductivity, pore structure of underground aquifer. However, the SNMR signals collected on s...
2024, 46(2): 728-737.
doi: 10.11999/JEIT230075
Abstract:
An adaptive cooperative control scheme with fast convergence characteristics is proposed for a four-dimensional chaotic power system. Firstly, based on the Lyapunov stability theorem and global fast convergence theory, a cooperative controller with f...
An adaptive cooperative control scheme with fast convergence characteristics is proposed for a four-dimensional chaotic power system. Firstly, based on the Lyapunov stability theorem and global fast convergence theory, a cooperative controller with f...
2024, 46(2): 738-747.
doi: 10.11999/JEIT230084
Abstract:
In the process of battery production, the traditional detection accuracy of abnormal batteries is poor, and the offline anomaly detection method after production is inefficient. To solve these problems, a lithium battery anomaly online detection meth...
In the process of battery production, the traditional detection accuracy of abnormal batteries is poor, and the offline anomaly detection method after production is inefficient. To solve these problems, a lithium battery anomaly online detection meth...
2024, 46(2): 748-756.
doi: 10.11999/JEIT230106
Abstract:
Considering the requirements of data verification, anonymous malicious behavior detection and cross-platform resource interaction in privacy crowdsourcing, a scheme under the consortium chain architecture is proposed, basing on blockchain technology ...
Considering the requirements of data verification, anonymous malicious behavior detection and cross-platform resource interaction in privacy crowdsourcing, a scheme under the consortium chain architecture is proposed, basing on blockchain technology ...
2024, 46(2): 757-764.
doi: 10.11999/JEIT230155
Abstract:
Chameleon Signature (CS) is an ideal designated verifier signature, it realizes non-transferability by using chameleon hash function, makes any third party distrust the content disclosed by a designated verifier, and avoids the shortcoming of online ...
Chameleon Signature (CS) is an ideal designated verifier signature, it realizes non-transferability by using chameleon hash function, makes any third party distrust the content disclosed by a designated verifier, and avoids the shortcoming of online ...
