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2022 Vol. 44, No. 1
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2022, 44(1): 168-177.
doi: 10.11999/JEIT200942
Abstract:
Due to the lack of unified human activity model and related specifications, the existing wearable human activity recognition technology uses different types, numbers and deployment locations of sensors, and affects its promotion and application. Base...
Due to the lack of unified human activity model and related specifications, the existing wearable human activity recognition technology uses different types, numbers and deployment locations of sensors, and affects its promotion and application. Base...
2022, 44(1): 178-186.
doi: 10.11999/JEIT201046
Abstract:
In order to improve the effect of image super-resolution reconstruction, the attention mechanism is introduced into Multi-level Residual Attention Network (MRAN) as the improved reconstruction network of Cycle Generation Countermeasure Network (Cycle...
In order to improve the effect of image super-resolution reconstruction, the attention mechanism is introduced into Multi-level Residual Attention Network (MRAN) as the improved reconstruction network of Cycle Generation Countermeasure Network (Cycle...
2022, 44(1): 187-194.
doi: 10.11999/JEIT210219
Abstract:
At present, the emergency search Unmanned Aerial Vehicle (UAV) cluster has problems such as low search efficiency, low coverage integrity, and poor stability of multi-unit network. In this regard, a terminal-routing UAV area search task planning stra...
At present, the emergency search Unmanned Aerial Vehicle (UAV) cluster has problems such as low search efficiency, low coverage integrity, and poor stability of multi-unit network. In this regard, a terminal-routing UAV area search task planning stra...
2022, 44(1): 195-202.
doi: 10.11999/JEIT201006
Abstract:
In order to make the network capture more effective content distinguish pedestrians, this paper proposes a multi-branch network based on Stepped feature space segmentation and Local Branch Attention Network (SLANet) mechanism to pay attention to the ...
In order to make the network capture more effective content distinguish pedestrians, this paper proposes a multi-branch network based on Stepped feature space segmentation and Local Branch Attention Network (SLANet) mechanism to pay attention to the ...
2022, 44(1): 203-210.
doi: 10.11999/JEIT200934
Abstract:
Point-Of-Interest (POI) recommendation in location-based social networks is an important way for people to find interesting locations. However, in reality, both the various user preference of locations in different regions and the high-dimensional hi...
Point-Of-Interest (POI) recommendation in location-based social networks is an important way for people to find interesting locations. However, in reality, both the various user preference of locations in different regions and the high-dimensional hi...
2022, 44(1): 211-220.
doi: 10.11999/JEIT201003
Abstract:
To relieve the problem of occlusion and misalignment caused by pose/view variations in real world, a new deep architecture named Diversified Local Attention Network (DLAN) for person Re-IDentification (Re-ID) is proposed in this paper. On the whole, ...
To relieve the problem of occlusion and misalignment caused by pose/view variations in real world, a new deep architecture named Diversified Local Attention Network (DLAN) for person Re-IDentification (Re-ID) is proposed in this paper. On the whole, ...
2022, 44(1): 221-229.
doi: 10.11999/JEIT200817
Abstract:
To solve the problems of lack of background knowledge and poor consistency of robot response in the existing human-computer interaction, a human-computer interaction model based on the ripple network of knowledge graph is proposed. In order to achiev...
To solve the problems of lack of background knowledge and poor consistency of robot response in the existing human-computer interaction, a human-computer interaction model based on the ripple network of knowledge graph is proposed. In order to achiev...
2022, 44(1): 230-236.
doi: 10.11999/JEIT200933
Abstract:
Traditional single-channel blind deconvolution method has the limitation that it can only separate two sources from a mixture. Considering this problem, a Single-Channel Blind Deconvolution algorithm based on optimized deep Convolutional generative a...
Traditional single-channel blind deconvolution method has the limitation that it can only separate two sources from a mixture. Considering this problem, a Single-Channel Blind Deconvolution algorithm based on optimized deep Convolutional generative a...
2022, 44(1): 237-244.
doi: 10.11999/JEIT200792
Abstract:
In order to make the fused multispectral images preserve the spectral information of the original Low-Resolution Multi-Spectral (LRMS) images as much as possible, and improve the spatial resolution effectively, a new pan-sharpening method based on mu...
In order to make the fused multispectral images preserve the spectral information of the original Low-Resolution Multi-Spectral (LRMS) images as much as possible, and improve the spatial resolution effectively, a new pan-sharpening method based on mu...
2022, 44(1): 245-253.
doi: 10.11999/JEIT200779
Abstract:
Most recommendation systems have a data sparsity problem, which limits the validity of the model that they use. However, the user’s comments on a commodity contain a lot of information. Emotional analysis of the comment text and the extraction of key...
Most recommendation systems have a data sparsity problem, which limits the validity of the model that they use. However, the user’s comments on a commodity contain a lot of information. Emotional analysis of the comment text and the extraction of key...
2022, 44(1): 254-260.
doi: 10.11999/JEIT200477
Abstract:
In order to develop fast and stable algorithm for estimating generalized eigenvector, a novel neuron-based algorithm is proposed for extracting the single generalized eigenvector. Through analyzing all of the stationary points, it is proved that the ...
In order to develop fast and stable algorithm for estimating generalized eigenvector, a novel neuron-based algorithm is proposed for extracting the single generalized eigenvector. Through analyzing all of the stationary points, it is proved that the ...
2022, 44(1): 261-270.
doi: 10.11999/JEIT200931
Abstract:
Previous techniques are not sufficient enough to deal with dehazing problems by using various hand-crafted priors and appear image hue and brightness distortion. In this paper, a saliency weighted multi-exposure fusion is proposed for single image de...
Previous techniques are not sufficient enough to deal with dehazing problems by using various hand-crafted priors and appear image hue and brightness distortion. In this paper, a saliency weighted multi-exposure fusion is proposed for single image de...
2022, 44(1): 271-278.
doi: 10.11999/JEIT200829
Abstract:
Sequences with optimal autocorrelation property have important roles in wireless communication, radar and cryptography. Therefore, in order to expand more ideal sequences that can be applied to communication systems, based on cyclotomy of order 2 and...
Sequences with optimal autocorrelation property have important roles in wireless communication, radar and cryptography. Therefore, in order to expand more ideal sequences that can be applied to communication systems, based on cyclotomy of order 2 and...
2022, 44(1): 279-287.
doi: 10.11999/JEIT200893
Abstract:
In order to defend against malicious node attacks and improve consensus efficiency in the blockchain-based medical data sharing system, a Security Consensus Algorithm of Medical Data (SCA_MD) based on credit rating is proposed. In SCA_MD, the medical...
In order to defend against malicious node attacks and improve consensus efficiency in the blockchain-based medical data sharing system, a Security Consensus Algorithm of Medical Data (SCA_MD) based on credit rating is proposed. In SCA_MD, the medical...
2022, 44(1): 288-294.
doi: 10.11999/JEIT200844
Abstract:
The emergence of the multi-controller architecture solves the scalability problem of the classic Software Defined Networking (SDN) architecture with a single centralized controller as the main control layer. In a multi-controller architecture, since ...
The emergence of the multi-controller architecture solves the scalability problem of the classic Software Defined Networking (SDN) architecture with a single centralized controller as the main control layer. In a multi-controller architecture, since ...
2022, 44(1): 295-304.
doi: 10.11999/JEIT201069
Abstract:
Through information sharing, the Internet of Vehicles (IoV) provides various applications for vehicles to improve road safety and traffic efficiency. However, the open communication between vehicles lead to vehicle privacy leakage and various attacks...
Through information sharing, the Internet of Vehicles (IoV) provides various applications for vehicles to improve road safety and traffic efficiency. However, the open communication between vehicles lead to vehicle privacy leakage and various attacks...
2022, 44(1): 305-313.
doi: 10.11999/JEIT201004
Abstract:
For the problems that the existing network traffic anomaly detection methods are not suitable for the real-time WSN (Wireless Sensor Networks) and lack reasonable decision mechanisms, a novel Wireless Sensor Networks (WSN) traffic anomaly detection s...
For the problems that the existing network traffic anomaly detection methods are not suitable for the real-time WSN (Wireless Sensor Networks) and lack reasonable decision mechanisms, a novel Wireless Sensor Networks (WSN) traffic anomaly detection s...
2022, 44(1): 314-323.
doi: 10.11999/JEIT201065
Abstract:
Because heterogeneous nodes of internet of vehicles have big performance difference and mobility, it leads that blockchain consensus algorithm has many problems, such as low transaction throughput and large transaction delay. Therefore, an Efficient ...
Because heterogeneous nodes of internet of vehicles have big performance difference and mobility, it leads that blockchain consensus algorithm has many problems, such as low transaction throughput and large transaction delay. Therefore, an Efficient ...
2022, 44(1): 324-331.
doi: 10.11999/JEIT200924
Abstract:
To overcome the policy generation problem faced by other access control mechanism in the process of migration to attribution-based access control mechanism, an access control policy generation method based on access control log is proposed. The recur...
To overcome the policy generation problem faced by other access control mechanism in the process of migration to attribution-based access control mechanism, an access control policy generation method based on access control log is proposed. The recur...
2022, 44(1): 332-338.
doi: 10.11999/JEIT200890
Abstract:
Channel modeling and simulation is the basis of performance analysis and evaluation of High frequency (HF) aviation communication system. A HF aviation mobile channel model based on Watterson model is proposed by analyzing the influence of maneuverin...
Channel modeling and simulation is the basis of performance analysis and evaluation of High frequency (HF) aviation communication system. A HF aviation mobile channel model based on Watterson model is proposed by analyzing the influence of maneuverin...
2022, 44(1): 339-345.
doi: 10.11999/JEIT200922
Abstract:
Satellite signal concealment technology protects the safety of signal waveform by using signals with high power and specific parameter characteristics. However, with the development of modulation recognition and Successive Interference Cancellation (...
Satellite signal concealment technology protects the safety of signal waveform by using signals with high power and specific parameter characteristics. However, with the development of modulation recognition and Successive Interference Cancellation (...
2022, 44(1): 346-353.
doi: 10.11999/JEIT200930
Abstract:
In ultra dense heterogeneous wireless network with sleep mechanism, in view of the problem that the network dynamic is enhanced and the handoff performance is reduced, a network selection algorithm based on improved deep Q-learning is proposed. First...
In ultra dense heterogeneous wireless network with sleep mechanism, in view of the problem that the network dynamic is enhanced and the handoff performance is reduced, a network selection algorithm based on improved deep Q-learning is proposed. First...
2022, 44(1): 354-362.
doi: 10.11999/JEIT201030
Abstract:
Skywave Over-The-Horizon Radar (OTHR) relies on the earth’s ionosphere which reflects its electromagnetic waves to achieve long range early warning of a variety of high-value targets. The model of ionosphere is the key factor for OTHR target tracking...
Skywave Over-The-Horizon Radar (OTHR) relies on the earth’s ionosphere which reflects its electromagnetic waves to achieve long range early warning of a variety of high-value targets. The model of ionosphere is the key factor for OTHR target tracking...
2022, 44(1): 363-371.
doi: 10.11999/JEIT200913
Abstract:
When there are multiple pulse train radiation source signals with unknown numbers and similar signal parameters in a given reconnaissance area, it is impossible to locate accurately multiple radiation source signals using classic multi-target localiz...
When there are multiple pulse train radiation source signals with unknown numbers and similar signal parameters in a given reconnaissance area, it is impossible to locate accurately multiple radiation source signals using classic multi-target localiz...
2022, 44(1): 372-379.
doi: 10.11999/JEIT201024
Abstract:
For the problem of a low number of consecutive lags and high redundancy of sensors in the coprime array, two sparse arrays are proposed in this paper. First, by analyzing the influence of the sensor positions on the unique lags and consecutive lags o...
For the problem of a low number of consecutive lags and high redundancy of sensors in the coprime array, two sparse arrays are proposed in this paper. First, by analyzing the influence of the sensor positions on the unique lags and consecutive lags o...
2022, 44(1): 380-389.
doi: 10.11999/JEIT201059
Abstract:
Ship targets are sparsely distributed in Synthetic Aperture Radar (SAR) images, and the design of anchor frame has a great impact on the accuracy and generalization of existing SAR image target detection method based on anchor. Therefore, an anchor-f...
Ship targets are sparsely distributed in Synthetic Aperture Radar (SAR) images, and the design of anchor frame has a great impact on the accuracy and generalization of existing SAR image target detection method based on anchor. Therefore, an anchor-f...
2022, 44(1): 390-399.
doi: 10.11999/JEIT201095
Abstract:
A new four-dimensional chaotic system with extreme multi-stability based on a classic three-dimensional chaotic system is proposed. The new system has a line equilibrium point, which can generate an infinite number of symmetrical homogeneous attracto...
A new four-dimensional chaotic system with extreme multi-stability based on a classic three-dimensional chaotic system is proposed. The new system has a line equilibrium point, which can generate an infinite number of symmetrical homogeneous attracto...
Design and Implementation of Memristor-based Chaotic Synchronization under a Single Input Controller
2022, 44(1): 400-407.
doi: 10.11999/JEIT200947
Abstract:
A memristor-based chaotic synchronization circuit is designed and implemented under a single-input controller, and it is applied to secure communication based on memristor chaotic synchronization. Firstly, based on the chaotic synchronization theory,...
A memristor-based chaotic synchronization circuit is designed and implemented under a single-input controller, and it is applied to secure communication based on memristor chaotic synchronization. Firstly, based on the chaotic synchronization theory,...
2022, 44(1): 1-10.
doi: 10.11999/JEIT210879
Abstract:
As a typical medical robot, the efficiency of ultrasound imaging and the fatigue caused by manual operation for a long time in assisted diagnosis and surgical guidance can effectively be reduced by ultrasound robots. To improve the imaging efficiency...
As a typical medical robot, the efficiency of ultrasound imaging and the fatigue caused by manual operation for a long time in assisted diagnosis and surgical guidance can effectively be reduced by ultrasound robots. To improve the imaging efficiency...
2022, 44(1): 11-17.
doi: 10.11999/JEIT210710
Abstract:
Most of the existing multi-modal segmentation methods are adopted on the co-registered multi-modal images. However, these two-stage algorithms of the segmentation and the registration achieve low segmentation performance on the modalities with remark...
Most of the existing multi-modal segmentation methods are adopted on the co-registered multi-modal images. However, these two-stage algorithms of the segmentation and the registration achieve low segmentation performance on the modalities with remark...
2022, 44(1): 18-26.
doi: 10.11999/JEIT210919
Abstract:
In vitrectomy combined with silicone oil tamponade for the treatment of Rhegmatogenous Retinal Detachment(RRD) in ophthalmology, the prediction of postoperative silicone oil emulsification, the appropriate amount of silicone oil filling and the final...
In vitrectomy combined with silicone oil tamponade for the treatment of Rhegmatogenous Retinal Detachment(RRD) in ophthalmology, the prediction of postoperative silicone oil emulsification, the appropriate amount of silicone oil filling and the final...
2022, 44(1): 27-38.
doi: 10.11999/JEIT210931
Abstract:
The development of Acute Kidney Injury (AKI) during admission to the Intensive Care Unit (ICU) is associated with increased morbidity and mortality. The objective of this study is to develop a machine learning-based framework for interpretable AKI pr...
The development of Acute Kidney Injury (AKI) during admission to the Intensive Care Unit (ICU) is associated with increased morbidity and mortality. The objective of this study is to develop a machine learning-based framework for interpretable AKI pr...
2022, 44(1): 39-47.
doi: 10.11999/JEIT210916
Abstract:
The precise segmentation of colon polyps plays a significant role in the diagnosis and treatment of colorectal cancer. The existing segmentation methods have generally artifacts and low segmentation accuracy. In this paper, Stair-structured U-Net (SU...
The precise segmentation of colon polyps plays a significant role in the diagnosis and treatment of colorectal cancer. The existing segmentation methods have generally artifacts and low segmentation accuracy. In this paper, Stair-structured U-Net (SU...
2022, 44(1): 48-58.
doi: 10.11999/JEIT210917
Abstract:
Since the outbreak of the Covid-19 epidemic in the world in late 2019, all countries in the world are under the threat of epidemic. Covid-19 invades the body's respiratory system, causing lung infection or even death. Computed Tomography (CT) is a ro...
Since the outbreak of the Covid-19 epidemic in the world in late 2019, all countries in the world are under the threat of epidemic. Covid-19 invades the body's respiratory system, causing lung infection or even death. Computed Tomography (CT) is a ro...
2022, 44(1): 59-69.
doi: 10.11999/JEIT210922
Abstract:
BallistoCardioGraphy (BCG) signal contains physiological parameters during sleep for example heartbeat. It is measured by non-contact method, therefore its application is limited due to interference. ElectroCardioGram (ECG) signals are widely used, b...
BallistoCardioGraphy (BCG) signal contains physiological parameters during sleep for example heartbeat. It is measured by non-contact method, therefore its application is limited due to interference. ElectroCardioGram (ECG) signals are widely used, b...
2022, 44(1): 70-77.
doi: 10.11999/JEIT210920
Abstract:
Gastrointestinal endoscopy plays a critical role in examination and diagnosis upper gastrointestinal diseases. The motion blur of endoscopic images can interfere with doctor's judgment and machine-assisted diagnosis. Due to the lack of attention to s...
Gastrointestinal endoscopy plays a critical role in examination and diagnosis upper gastrointestinal diseases. The motion blur of endoscopic images can interfere with doctor's judgment and machine-assisted diagnosis. Due to the lack of attention to s...
2022, 44(1): 78-88.
doi: 10.11999/JEIT210909
Abstract:
As the gold standard for the detection of Esophageal Motility Disorder(EMD), High-Resolution Manometry(HRM) is widely used in clinical tests to assist doctors in diagnosis. The amount of HRM images explodes with an increase in the prevalence rate, an...
As the gold standard for the detection of Esophageal Motility Disorder(EMD), High-Resolution Manometry(HRM) is widely used in clinical tests to assist doctors in diagnosis. The amount of HRM images explodes with an increase in the prevalence rate, an...
2022, 44(1): 89-98.
doi: 10.11999/JEIT210935
Abstract:
Tongue color is one of the most concerned diagnostic features of tongue diagnosis in Traditional Chinese Medicine (TCM). Automatic and accurate tongue color classification is an important content of the objectification of tongue diagnosis. Due to the...
Tongue color is one of the most concerned diagnostic features of tongue diagnosis in Traditional Chinese Medicine (TCM). Automatic and accurate tongue color classification is an important content of the objectification of tongue diagnosis. Due to the...
Atrial Fibrillation Detection Based on Hilbert-Huang Transform and Deep Convolutional Neural Network
2022, 44(1): 99-106.
doi: 10.11999/JEIT211171
Abstract:
Atrial fibrillation is a common arrhythmia and its morbidity increases with age. Thus, stroke risk and cardiogenic mortality can be significantly reduced by early atrial fibrillation detection from ElectroCardioGram (ECG). In order to improve effecti...
Atrial fibrillation is a common arrhythmia and its morbidity increases with age. Thus, stroke risk and cardiogenic mortality can be significantly reduced by early atrial fibrillation detection from ElectroCardioGram (ECG). In order to improve effecti...
2022, 44(1): 107-117.
doi: 10.11999/JEIT210858
Abstract:
In order to achieve multi-user data search in electronic medical record system, an attribute based searchable encryption scheme is proposed. In this scheme, ciphertext and secure indexes are stored in the medical cloud. When the users want to access ...
In order to achieve multi-user data search in electronic medical record system, an attribute based searchable encryption scheme is proposed. In this scheme, ciphertext and secure indexes are stored in the medical cloud. When the users want to access ...
2022, 44(1): 118-126.
doi: 10.11999/JEIT210926
Abstract:
Medical machine translation is of great value for cross-border medical translation. Chinese to English neural machine translation has made great progress based on deep learning, powerful modeling ability and large-scale bilingual parallel data. Neura...
Medical machine translation is of great value for cross-border medical translation. Chinese to English neural machine translation has made great progress based on deep learning, powerful modeling ability and large-scale bilingual parallel data. Neura...
2022, 44(1): 127-137.
doi: 10.11999/JEIT200996
Abstract:
In view of the problem of low segmentation accuracy caused by the multi-scale of the lesion location in Computed-Tomography (CT) images of cerebral hemorrhage, an image segmentation model based on Attention improved U-shaped neural Network plus (AU-N...
In view of the problem of low segmentation accuracy caused by the multi-scale of the lesion location in Computed-Tomography (CT) images of cerebral hemorrhage, an image segmentation model based on Attention improved U-shaped neural Network plus (AU-N...
2022, 44(1): 138-148.
doi: 10.11999/JEIT210900
Abstract:
In order to determine accurately International Society for Urology and Pathology (ISUP) grade of clear cell Renal Cell Carcinoma (ccRCC) and achieve subsequently better treatment and prognosis, a novel channel attention mechanism named sECANet is pro...
In order to determine accurately International Society for Urology and Pathology (ISUP) grade of clear cell Renal Cell Carcinoma (ccRCC) and achieve subsequently better treatment and prognosis, a novel channel attention mechanism named sECANet is pro...
2022, 44(1): 149-167.
doi: 10.11999/JEIT210914
Abstract:
Residual neural Network (ResNet) is a hot topic in deep learning research, which is widely used in medical image processing. The residual neural network is reviewed in this paper from the following aspects: Firstly, the basic principles and model str...
Residual neural Network (ResNet) is a hot topic in deep learning research, which is widely used in medical image processing. The residual neural network is reviewed in this paper from the following aspects: Firstly, the basic principles and model str...
2022, 44(1): 408-414.
Abstract:
