Email alert
2023 Vol. 45, No. 10
Display Method:
2023, 45(10): 3439-3457.
doi: 10.11999/JEIT221051
Abstract:
Sign Language Recognition (SLR) technology is an important technical means to break the communication barrier between hearing-impaired people and healthy people. The sign language datasets, evaluation indicators and sign language recognition methods ...
Sign Language Recognition (SLR) technology is an important technical means to break the communication barrier between hearing-impaired people and healthy people. The sign language datasets, evaluation indicators and sign language recognition methods ...
2023, 45(10): 3458-3467.
doi: 10.11999/JEIT221449
Abstract:
Movement intention based Brain-Computer Interfaces (BCIs) have important research significance and application value in motor enhancement, replacement and rehabilitation. Among them, Motor Imagery (MI) is the most commonly used BCI paradigm to repres...
Movement intention based Brain-Computer Interfaces (BCIs) have important research significance and application value in motor enhancement, replacement and rehabilitation. Among them, Motor Imagery (MI) is the most commonly used BCI paradigm to repres...
2023, 45(10): 3468-3482.
doi: 10.11999/JEIT221402
Abstract:
Underwater image object detection is one of the core technologies of underwater intelligent exploration, which is widely used in industrial and military fields. The breakthrough of deep learning related technologies has brought new opportunities for ...
Underwater image object detection is one of the core technologies of underwater intelligent exploration, which is widely used in industrial and military fields. The breakthrough of deep learning related technologies has brought new opportunities for ...
2023, 45(10): 3483-3491.
doi: 10.11999/JEIT221244
Abstract:
Learning-based Multiple-View Stereo (MVS) aims to reconstruct dense 3D scene representation. However, previous methods utilize additional 2D network modules to learn the cross view visibility for cost aggregation, ignoring the consistency assumption ...
Learning-based Multiple-View Stereo (MVS) aims to reconstruct dense 3D scene representation. However, previous methods utilize additional 2D network modules to learn the cross view visibility for cost aggregation, ignoring the consistency assumption ...
2023, 45(10): 3492-3501.
doi: 10.11999/JEIT220960
Abstract:
Principal Skewness Analysis (PSA), as a third-order extension of Principal Component Analysis (PCA), is often used for blind image separation, SAR image denoising, and hyperspectral feature extraction. However, the existing PSA algorithm can only obt...
Principal Skewness Analysis (PSA), as a third-order extension of Principal Component Analysis (PCA), is often used for blind image separation, SAR image denoising, and hyperspectral feature extraction. However, the existing PSA algorithm can only obt...
2023, 45(10): 3502-3510.
doi: 10.11999/JEIT221041
Abstract:
Parkinson’s disease is a common chronic neurological disease, and dysarthria is one of the early symptoms of this disease. The auxiliary diagnosis and treatment of Parkinson’s disease based on speech is helpful for early detection and observation of ...
Parkinson’s disease is a common chronic neurological disease, and dysarthria is one of the early symptoms of this disease. The auxiliary diagnosis and treatment of Parkinson’s disease based on speech is helpful for early detection and observation of ...
2023, 45(10): 3511-3519.
doi: 10.11999/JEIT221034
Abstract:
Tunable Diode Laser Absorption Tomography (TDLAT) is an important non-intrusive combustion diagnostic technology, which can be used to reconstruct two-dimensional cross-sectional distributions of flow-field parameters such as gas temperature and conc...
Tunable Diode Laser Absorption Tomography (TDLAT) is an important non-intrusive combustion diagnostic technology, which can be used to reconstruct two-dimensional cross-sectional distributions of flow-field parameters such as gas temperature and conc...
2023, 45(10): 3520-3528.
doi: 10.11999/JEIT221180
Abstract:
COrona VIrus Disease 2019(COVID-19) is a serious threat to human health, deep learning computer aided diagnosis method can effectively improve the diagnosis efficiency. But deep learning models have usually complex structure which have large number o...
COrona VIrus Disease 2019(COVID-19) is a serious threat to human health, deep learning computer aided diagnosis method can effectively improve the diagnosis efficiency. But deep learning models have usually complex structure which have large number o...
2023, 45(10): 3529-3537.
doi: 10.11999/JEIT221204
Abstract:
Multi-modal medical images can effectively fuse anatomical images and functional images. It reflects the functional and anatomical information within the body on the same image, which gives rise to critical clinical implications. How to utilize effic...
Multi-modal medical images can effectively fuse anatomical images and functional images. It reflects the functional and anatomical information within the body on the same image, which gives rise to critical clinical implications. How to utilize effic...
2023, 45(10): 3538-3546.
doi: 10.11999/JEIT221500
Abstract:
Most of the current audiovisual separation models are mostly based on simple splicing of video features and audio features, without fully considering the interrelationship of each modality, resulting in the underutilization of visual information, a n...
Most of the current audiovisual separation models are mostly based on simple splicing of video features and audio features, without fully considering the interrelationship of each modality, resulting in the underutilization of visual information, a n...
2023, 45(10): 3547-3557.
doi: 10.11999/JEIT220973
Abstract:
This paper proposes an Energy Harvesting (EH)-assisted mining IoT intelligent computation offloading method for the mine IoT device with limited computing, energy, and memory resources and smart mining scenario with a large number of latency-sensitiv...
This paper proposes an Energy Harvesting (EH)-assisted mining IoT intelligent computation offloading method for the mine IoT device with limited computing, energy, and memory resources and smart mining scenario with a large number of latency-sensitiv...
2023, 45(10): 3558-3567.
doi: 10.11999/JEIT221017
Abstract:
In order to improve the accuracy of light-weight Convolutional Neural Networks (CNN) in the classification task of Remote Sensing Images (RSI) scene, a Double Knowledge Distillation (DKD) model combined with Dual-Attention (DA) and Spatial Structure ...
In order to improve the accuracy of light-weight Convolutional Neural Networks (CNN) in the classification task of Remote Sensing Images (RSI) scene, a Double Knowledge Distillation (DKD) model combined with Dual-Attention (DA) and Spatial Structure ...
2023, 45(10): 3568-3577.
doi: 10.11999/JEIT221113
Abstract:
In order to improve the high Bit Error Rate(BER) of multi-user Correlated Delay Shift Keying(CDSK) system, a Multi-User Multi-Carrier Correlated Delay Shift Keying system based on Time Slot Transformation (TST-MUMC-CDSK) system is proposed. The schem...
In order to improve the high Bit Error Rate(BER) of multi-user Correlated Delay Shift Keying(CDSK) system, a Multi-User Multi-Carrier Correlated Delay Shift Keying system based on Time Slot Transformation (TST-MUMC-CDSK) system is proposed. The schem...
2023, 45(10): 3578-3586.
doi: 10.11999/JEIT220991
Abstract:
Object detection in remote sensing image is one of the hot research topics in the field of remote sensing. In order to adapt to complex backgrounds and multi-directional objects in remote sensing images, the mainstream object detection model uses rot...
Object detection in remote sensing image is one of the hot research topics in the field of remote sensing. In order to adapt to complex backgrounds and multi-directional objects in remote sensing images, the mainstream object detection model uses rot...
2023, 45(10): 3587-3593.
doi: 10.11999/JEIT220967
Abstract:
For the Doppler frequency offset of Link-16 data link terminal platform in low Signal-Noise Ratio(SNR) and high-speed moving scene, a new data structure is designed, and a step-by-step frequency offset estimation algorithm combining frequency domain ...
For the Doppler frequency offset of Link-16 data link terminal platform in low Signal-Noise Ratio(SNR) and high-speed moving scene, a new data structure is designed, and a step-by-step frequency offset estimation algorithm combining frequency domain ...
2023, 45(10): 3594-3602.
doi: 10.11999/JEIT221392
Abstract:
In order to reduce the candidate flip bit set size when using Fast Simplified Successive Cancellation Flip(Fast-SSC-Flip) decoding algorithm and decrease the search complexity, a kind of Fast-SSC-Flip decoding algorithm based on critical flip set for...
In order to reduce the candidate flip bit set size when using Fast Simplified Successive Cancellation Flip(Fast-SSC-Flip) decoding algorithm and decrease the search complexity, a kind of Fast-SSC-Flip decoding algorithm based on critical flip set for...
2023, 45(10): 3603-3611.
doi: 10.11999/JEIT220946
Abstract:
Reconfigurable Intelligent Surface (RIS) can be regarded as a ‘relay’ with special functions in communication network. It can cooperate with Non-Orthogonal Multiple Access (NOMA) system to construct a coordinated information transmission scheme. Cons...
Reconfigurable Intelligent Surface (RIS) can be regarded as a ‘relay’ with special functions in communication network. It can cooperate with Non-Orthogonal Multiple Access (NOMA) system to construct a coordinated information transmission scheme. Cons...
2023, 45(10): 3612-3621.
doi: 10.11999/JEIT221232
Abstract:
As the channel status information is difficult to obtain in Reconfigurable Intelligent Surface(RIS) aided millimeter wave communication. The radio frequency chain is provided in some passive elements of RIS to assist channel estimation and estimate t...
As the channel status information is difficult to obtain in Reconfigurable Intelligent Surface(RIS) aided millimeter wave communication. The radio frequency chain is provided in some passive elements of RIS to assist channel estimation and estimate t...
2023, 45(10): 3622-3630.
doi: 10.11999/JEIT221413
Abstract:
In recent years, quaternion theory has become a research hotspot for scholars and has been applied to many fields. In this paper, the quadrature polarization channel equalization problem is studied based on quaternion adaptive filtering algorithm. In...
In recent years, quaternion theory has become a research hotspot for scholars and has been applied to many fields. In this paper, the quadrature polarization channel equalization problem is studied based on quaternion adaptive filtering algorithm. In...
2023, 45(10): 3631-3639.
doi: 10.11999/JEIT221102
Abstract:
The uplink Physical Layer Security (PLS) of large-scale Non-Orthogonal Multiple Access (NOMA)-based Fog access networks with a Reconfigurable Intelligent Surface (RIS)-assisted Cell-Free (CF) framework is investigated in this paper. The spatial effec...
The uplink Physical Layer Security (PLS) of large-scale Non-Orthogonal Multiple Access (NOMA)-based Fog access networks with a Reconfigurable Intelligent Surface (RIS)-assisted Cell-Free (CF) framework is investigated in this paper. The spatial effec...
A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation
2023, 45(10): 3640-3647.
doi: 10.11999/JEIT221476
Abstract:
Channel estimation is a major challenge in Tera Hertz (THz) communication assisted by Intelligent Reflecting Surfaces (IRS). To reduce the problem of large channel estimation pilot overhead caused by an increase in the number of receiving/transmittin...
Channel estimation is a major challenge in Tera Hertz (THz) communication assisted by Intelligent Reflecting Surfaces (IRS). To reduce the problem of large channel estimation pilot overhead caused by an increase in the number of receiving/transmittin...
2023, 45(10): 3648-3656.
doi: 10.11999/JEIT221398
Abstract:
In recent years, Unmanned Aerial Vehicles (UAVs) have been widely used in post-disaster rescue by virtue of their mobility and flexibility. Considering the scenario that a survey UAV performs tasks using the emergency communication network, in order ...
In recent years, Unmanned Aerial Vehicles (UAVs) have been widely used in post-disaster rescue by virtue of their mobility and flexibility. Considering the scenario that a survey UAV performs tasks using the emergency communication network, in order ...
2023, 45(10): 3657-3666.
doi: 10.11999/JEIT221160
Abstract:
The WiFi fingerprint based on Channel State Information (CSI) data can be used for indoor positioning. Compared to Received Signal Strength Indicator (RSSI) data, CSI has a higher granularity of data information and can be obtained over multiple subc...
The WiFi fingerprint based on Channel State Information (CSI) data can be used for indoor positioning. Compared to Received Signal Strength Indicator (RSSI) data, CSI has a higher granularity of data information and can be obtained over multiple subc...
2023, 45(10): 3667-3675.
doi: 10.11999/JEIT221412
Abstract:
Network virtualization allows multiple virtual networks to coexist on the same physical infrastructure, facilitating the incremental deployment of future network technology. However, the current programmable data plane provides exclusive data plane a...
Network virtualization allows multiple virtual networks to coexist on the same physical infrastructure, facilitating the incremental deployment of future network technology. However, the current programmable data plane provides exclusive data plane a...
2023, 45(10): 3676-3684.
doi: 10.11999/JEIT221137
Abstract:
To reflect better the inherent characteristics of chaotic systems, an adaptive noise reduction algorithm for chaotic signals based on wavelet packet transform is proposed. Firstly, the best decomposition level is determined according to the different...
To reflect better the inherent characteristics of chaotic systems, an adaptive noise reduction algorithm for chaotic signals based on wavelet packet transform is proposed. Firstly, the best decomposition level is determined according to the different...
2023, 45(10): 3685-3693.
doi: 10.11999/JEIT221165
Abstract:
To solve the network topology management difficulties caused by the rapid movement of Unmanned Aerial Vehicles (UAVs) in the Flying Ad hoc NETworks (FANET), an adaptive hummingbird algorithm is proposed to optimize the communication topology, which c...
To solve the network topology management difficulties caused by the rapid movement of Unmanned Aerial Vehicles (UAVs) in the Flying Ad hoc NETworks (FANET), an adaptive hummingbird algorithm is proposed to optimize the communication topology, which c...
2023, 45(10): 3694-3701.
doi: 10.11999/JEIT221406
Abstract:
Considering the problems of high spectrum resource consumption and high traffic blocking probability during the time-varying traffic’s survivability transmission in Elastic Optical Networks(EONs), a Time-varying Traffic Shared Protection method based...
Considering the problems of high spectrum resource consumption and high traffic blocking probability during the time-varying traffic’s survivability transmission in Elastic Optical Networks(EONs), a Time-varying Traffic Shared Protection method based...
2023, 45(10): 3702-3709.
doi: 10.11999/JEIT221223
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...
2023, 45(10): 3710-3718.
doi: 10.11999/JEIT220131
Abstract:
Due to the limited actual network bandwidth, the communication between clients and the central server is a main bottleneck of federated learning. To reduce the communication cost, a communication-efficient Federated learning algorithm is proposed by ...
Due to the limited actual network bandwidth, the communication between clients and the central server is a main bottleneck of federated learning. To reduce the communication cost, a communication-efficient Federated learning algorithm is proposed by ...
2023, 45(10): 3719-3728.
doi: 10.11999/JEIT220959
Abstract:
Considering the problem that the class imbalance of traffic dataset limits the performance of the model to the minority class attack traffic, a traffic anomaly detection method based on the joint model of attention mechanism and One-Dimensional Convo...
Considering the problem that the class imbalance of traffic dataset limits the performance of the model to the minority class attack traffic, a traffic anomaly detection method based on the joint model of attention mechanism and One-Dimensional Convo...
2023, 45(10): 3729-3736.
doi: 10.11999/JEIT221038
Abstract:
Gimli and Xoodoo are large state lightweight block ciphers that have many advantages such as fewer logic gates, low power consumption and fast encryption, and have attracted much attention on the industry. Both are based on 384 bit permutation, while...
Gimli and Xoodoo are large state lightweight block ciphers that have many advantages such as fewer logic gates, low power consumption and fast encryption, and have attracted much attention on the industry. Both are based on 384 bit permutation, while...
2023, 45(10): 3737-3744.
doi: 10.11999/JEIT221282
Abstract:
The LEA algorithm is a software-oriented lightweight encryption algorithm, which became the ISO/IEC international standard lightweight encryption algorithm in 2019. It has the advantages of fast encryption and less computing resources. The differenti...
The LEA algorithm is a software-oriented lightweight encryption algorithm, which became the ISO/IEC international standard lightweight encryption algorithm in 2019. It has the advantages of fast encryption and less computing resources. The differenti...
2023, 45(10): 3745-3751.
doi: 10.11999/JEIT221003
Abstract:
Currently, the security analysis of lightweight block ciphers by using deep learning is becoming a new research hotspot. At the Crypto2019, Gohr first applied deep learning to the security analysis of block ciphers, the high-accuracy neural distingui...
Currently, the security analysis of lightweight block ciphers by using deep learning is becoming a new research hotspot. At the Crypto2019, Gohr first applied deep learning to the security analysis of block ciphers, the high-accuracy neural distingui...
2023, 45(10): 3752-3758.
doi: 10.11999/JEIT221212
Abstract:
Network coding allows the intermediate nodes to encode and forward the data packets, so it improves the system robustness and saves the network resources. Pollution attacks are inevitable for network coding in applications. In view of this, Certifica...
Network coding allows the intermediate nodes to encode and forward the data packets, so it improves the system robustness and saves the network resources. Pollution attacks are inevitable for network coding in applications. In view of this, Certifica...
2023, 45(10): 3759-3766.
doi: 10.11999/JEIT210717
Abstract:
Focusing on the problems of over-reliance on Third-Party Auditors (TPA), complex key and certificate management and data leakage in traditional cloud data integrity auditing scheme, a decentralized data integrity verification audit scheme based on bl...
Focusing on the problems of over-reliance on Third-Party Auditors (TPA), complex key and certificate management and data leakage in traditional cloud data integrity auditing scheme, a decentralized data integrity verification audit scheme based on bl...
2023, 45(10): 3767-3775.
doi: 10.11999/JEIT221341
Abstract:
The restoration of geometric structural information in Synthetic Aperture Radar (SAR) remote sensing images is of great significance for target recognition and interpretation. Existed Digital Ortho Map (DOM) production methods for SAR images follow t...
The restoration of geometric structural information in Synthetic Aperture Radar (SAR) remote sensing images is of great significance for target recognition and interpretation. Existed Digital Ortho Map (DOM) production methods for SAR images follow t...
2023, 45(10): 3776-3785.
doi: 10.11999/JEIT221072
Abstract:
Ground Penetrating Radar (GPR) is an underground nondestructive detection technology based on electromagnetic wave, which is widely used in municipal engineering, transportation, military and other fields. In the process of data acquisition, due to t...
Ground Penetrating Radar (GPR) is an underground nondestructive detection technology based on electromagnetic wave, which is widely used in municipal engineering, transportation, military and other fields. In the process of data acquisition, due to t...
2023, 45(10): 3786-3795.
doi: 10.11999/JEIT220997
Abstract:
To solve the problem of extended target tracking with non-star-convex irregular shape in complex environments, a level-set gaussian process extended target tracking algorithm based on energy functional is proposed. First, the interior of the shape is...
To solve the problem of extended target tracking with non-star-convex irregular shape in complex environments, a level-set gaussian process extended target tracking algorithm based on energy functional is proposed. First, the interior of the shape is...
2023, 45(10): 3796-3804.
doi: 10.11999/JEIT221265
Abstract:
The speed and frequency of underwater sound wave are much lower compared with the electromagnetic wave in the air. The moving target detection performance of multiple Unmanned Underwater Vehicle(multi-UUV) cooperative detection sonar is seriously inf...
The speed and frequency of underwater sound wave are much lower compared with the electromagnetic wave in the air. The moving target detection performance of multiple Unmanned Underwater Vehicle(multi-UUV) cooperative detection sonar is seriously inf...
2023, 45(10): 3805-3811.
doi: 10.11999/JEIT221061
Abstract:
According to the problems that the mismatch between the real source location and the dictionary grid leads to the great error of Direction Of Arrival (DOA), an Off-Grid DOA estimation based on modified Iterative Adaptive Approach (IAA) is proposed (O...
According to the problems that the mismatch between the real source location and the dictionary grid leads to the great error of Direction Of Arrival (DOA), an Off-Grid DOA estimation based on modified Iterative Adaptive Approach (IAA) is proposed (O...
2023, 45(10): 3812-3820.
doi: 10.11999/JEIT221435
Abstract:
The current design of the MetaSurface Absorber (MSA) has excellent absorption characteristics of ElectroMagnetic (EM) wave. However, the influence of incident EM wavefrom and power is rarely considered. In this paper, a nonlinear circuit based MSA is...
The current design of the MetaSurface Absorber (MSA) has excellent absorption characteristics of ElectroMagnetic (EM) wave. However, the influence of incident EM wavefrom and power is rarely considered. In this paper, a nonlinear circuit based MSA is...
