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2023 Vol. 45, No. 6

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2023, 45(6)
Abstract:
2023, 45(6): 1-4.
Abstract:
Overviews
A Survey on File Architecture in DNA Storage
ZAN Xiangzhen, YAO Xiangyu, XU Peng, BAO Zhenshen, LI Xianbin, LI Xiaoyan, LIU Wenbin
2023, 45(6): 1911-1920. doi: 10.11999/JEIT220561
Abstract:
DNA storage technology provides a new way to tackle the problems of massive data storage and application, due to its high density, long durability, and low maintenance cost. To face massive data storage demand, DNA storage has to overcome the problem...
Circuit and System Design
Hardware Trojan Detection Based on Path Feature and Support Vector Machine
FENG Yan, CHEN Lan
2023, 45(6): 1921-1932. doi: 10.11999/JEIT220500
Abstract:
Hardware Trojan attack has become a serious threat to Integrated Circuit(IC). Hardware Trojans are hidden, rare triggered and the data-sets of Trojan benchmarks are unbalanced, a hardware Trojan detection method that performs a static analysis in gat...
Convolutional Neural Network Accelerator Architecture Design for Ultimate Edge Computing Scenario
WU Ruidong, LIU Bing, FU Ping, JI Xinglong, LU Wenshuai
2023, 45(6): 1933-1943. doi: 10.11999/JEIT220130
Abstract:
In order to meet the requirements of performance and power in Ultimate Edge Computing (UEC) scenario, a Convolutional Neural Network (CNN) accelerator architecture is proposed with 16 Bit quantization model that does not rely on external memory. The ...
Research on Parasitic Bipolar Inductance Absolute Angle Sensor
ZHANG Bo, CHEN Xiaoli, GUO Henan, QU Jinchen, LI Jie, LI Jianhua, JIANG Yong, WEN Xiaolong
2023, 45(6): 1944-1951. doi: 10.11999/JEIT220610
Abstract:
As the core positioning component of the motor, the angle sensor has an important impact on the positioning accuracy of the motor. In this paper, a bipolar inductive absolute angle sensor is designed. The sensor measures the angle by periodically cha...
Cryption and Information Security
High Energy Efficient Perfect Gaussian Integer Sequence Design Based on Second Order Cyclotomic Classes
ZHAO Wei, HUANG Lei, JIA Yanguo, SHEN Xiumin
2023, 45(6): 1952-1958. doi: 10.11999/JEIT220591
Abstract:
Perfect Gaussian Integer Sequence (PGIS) has been widely used in Code Division Multiplexing (CDM) systems and Orthogonal Frequency Division Multiplexing (OFDM) systems because of its good anti-interference, high transmission rate and high frequency s...
Data Generation Based on Generative Adversarial Network with Spatial Features
SUN Lei, YANG Yu, MAO Xiuqing, WANG Xiaoqin, LI Jiaxin
2023, 45(6): 1959-1969. doi: 10.11999/JEIT211285
Abstract:
Traditional Generative Adversarial Network (GAN) ignores the representation and structural information of the original feature when the feature map is large, and there is no remote correlation between the pixels of the generated images, resulting ima...
Network Defense Decision-making Method Based on Improved Evolutionary Game Model
MA Runnian, ZHANG Enning, WANG Gang, MA Yufeng, WENG Jiang
2023, 45(6): 1970-1980. doi: 10.11999/JEIT220585
Abstract:
For the problem that the existing network defense decision-making method is challenging by error interference and real-time response, a novel network defense decision-making method based on an Improved Evolutionary Game Model (IEGM) is proposed. Firs...
Fourier Personalized Federated Learning Mechanism Based on Spectral Clustering
JIN Tong, CHEN Siguang
2023, 45(6): 1981-1989. doi: 10.11999/JEIT220529
Abstract:
To relieve the negative impacts caused by non-Independent and Identically Distributed (non-IID) data across different clients in federated learning, a spectral clustering-based Fourier personalized federated learning mechanism is proposed to overcome...
Wireless Communication and Internet of Things
Physical Layer Security For Intelligent Reflecting Surface Assisted Full-duplex Communication
QI Bensheng, RAO Xingnan, DENG Zhixiang, MIAO Hongxia
2023, 45(6): 1990-1998. doi: 10.11999/JEIT220547
Abstract:
In-band full-duplex is an efficient technology to alleviate the shortage of spectrum resources in wireless communication system. To ensure the information security of the full-duplex communication system, where a Full Duplex Access Point (FD-AP) rece...
Traffic Shaping Mechanism Based on Time Slot-Aware Cyclic Queuing and Forwarding in Time-Sensitive Networking
CAI Yueping, REN Zhiwen
2023, 45(6): 1999-2006. doi: 10.11999/JEIT220530
Abstract:
Time sensitive network is one of the core technologies of future smart factories. There are multiple business flows with different requirements in smart factories. To ensure the performance of critical traffic flows and improve network bandwidth util...
A Dynamic Pre-Deployment Strategy of UAVs Based on Multi-Agent Deep Reinforcement Learning
TANG Lun, LI Zhixuan, PU Hao, WANG Zhiping, CHEN Qianbin
2023, 45(6): 2007-2015. doi: 10.11999/JEIT220513
Abstract:
It’s challenging to use traditional optimization algorithms to solve the long-term dynamic deployment problem of Unmanned Aerial Vehicles (UAVs) due to their high complexity and difficulty in matching dynamic environment. Aiming at solving these shor...
Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization
LI Fei, YAN Zhiwei, LI Ting, SONG Yunchao, GENG Chenyu
2023, 45(6): 2016-2023. doi: 10.11999/JEIT220573
Abstract:
Access Point(AP) selection in cell-free massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access(MIMO-NOMA) system has a great impact on effectively reducing the backhaul overhead and improving the user’s downlink achievable rate. In thi...
Online Control Algorithm of Power and Rate in Energy Harvesting Communication Systems
LEI Weijia, LIU Meiding, LEI Hongjiang, TANG Hong
2023, 45(6): 2024-2033. doi: 10.11999/JEIT220673
Abstract:
In this paper, the joint optimization of transmission power, modulation mode and the rate of channel codes is studied in wireless communication systems with Energy Harvesting(EH) when the prior information of energy harvesting and channel state is un...
Research on Optimal Spectral Efficiency of Orthogonal Frequency Division Multiplexing Visible Light Communication-Radio FrequencyAggregation System Based on Finite Alphabet Inputs
MA Shuai, LU Shanmei, HE Lingyan, SHENG Haihong, CAO Shiyu, FANG Xiao, WANG Hongmei, LI Shiyin
2023, 45(6): 2034-2044. doi: 10.11999/JEIT220521
Abstract:
So far, the information theory of Orthogonal Frequency Division Multiplexing (OFDM) Visible Light Communication (VLC) and Radio Frequency (RF) aggregation systems based on finite alphabet inputs is still unknown. Based on this situation, the achievab...
Joint Source-Channel Code Modulation Scheme Based on Variable-length Error-Correct Code and Doping Modulation
BAO Han, TU Guofang, ZHANG Can, GAO Shaoshuai, CHEN Deyuan
2023, 45(6): 2045-2053. doi: 10.11999/JEIT220531
Abstract:
To deal with effects of limited spectrum, fading and multipath during wireless communication, a new joint source-channel code modulation scheme is proposed. This scheme consists of a Variable-Length Error-Correct (VLEC) code and doping modulation. Wi...
Optimization Method for Energy Consumption in Data Acquisition Assisted by UAV Swarms
HUANG Xiaoge, HE Yong, CHEN Qianbin, ZHANG Jie
2023, 45(6): 2054-2062. doi: 10.11999/JEIT220554
Abstract:
To ensure security and reduce energy consumption for data acquisition in Wireless Sensor Network (WSN), Unmanned Aerial Vehicle (UAV) swarms-aided energy consumption optimization for data acquisition algorithm is proposed. The total energy consumptio...
3D Wireless Secure Transmission under Random Frequency Diversity Array Assisted by Deep Learning
HU Jinsong, JIANG Wanling, CHEN Youjia, XU Yiwen, ZHAO Tiesong, SHU Feng
2023, 45(6): 2063-2070. doi: 10.11999/JEIT220457
Abstract:
To solve the potential security issue caused by the fact that the transmitted beam in the phased array-assisted wireless communication systems only depend on angle characteristics and high computational complexity caused by the traditional iteration ...
Small Sample Signal Modulation Recognition Algorithm Based on Support Vector Machine Enhanced by Generative Adversarial Networks Generated Data
XIE Zhidong, TAN Xin, YUAN Xinwang, YANG Gang, HAN Yu
2023, 45(6): 2071-2080. doi: 10.11999/JEIT220624
Abstract:
Focusing on solving the problem of small sample signal modulation recognition, the theoretical feasibility of using Support Vector Machine (SVM) for modulation recognition is investigated firstly; Secondly, based on statistical learning theory, a the...
Research on Physical Layer Security Communication Based on Distributed Intelligent Reflective Surface
FENG Youhong, ZHANG Yan’e, DONG Guoqing
2023, 45(6): 2081-2088. doi: 10.11999/JEIT220659
Abstract:
Intelligent Reflecting Surface (IRS) has been widely used in the after 5G and 6G to increase the communication efficiency by adjusting the wireless transmission channels in real-time. In this paper, the use of distributed IRSs to maximize the secrecy...
Optical Quantum Imaging Method Based on Filter Optimization of Coincidence Counting
ZHOU Mu, JI Changyin, XIE Liangbo, CAO Jingyang, NIE Wei
2023, 45(6): 2089-2097. doi: 10.11999/JEIT220627
Abstract:
Quantum Imaging(QI) is an important research direction in the field of quantum optics due to its anti-reconnaissance, anti-interference and high resolution. In order to solve the problem of image quality degradation caused by the abnormal coincidence...
Research on OTSM Iterative Detection Algorithm in High-speed Mobile Environment
LI Guojun, LONG Kun, YE Changrong, LIANG Jiawen
2023, 45(6): 2098-2104. doi: 10.11999/JEIT220541
Abstract:
Orthogonal Time Sequency Multiplexing (OTSM) multiplexes information symbols in the delay-sequence domain through concatenated time division and Walsh-Hadamard multiplexing. Due to the Walsh-Hadamard Transform (WHT) does not require complex multiplic...
Radar, Sonar and Array Signal Processing
Scattering Structure Recognition of Space Target in Polarimetric Rotation Domain
CUI Xingchao, LI Haoliang, FU Yaowen, CHEN Siwei, SU Yi
2023, 45(6): 2105-2114. doi: 10.11999/JEIT220493
Abstract:
Polarimetric Inverse Synthetic Aperture Radar (ISAR), which has the ability of full polarization measurement and high-resolution imaging, has become an important sensor for space awareness. As a typical man-made target, space target has various scatt...
Development and Analysis of a half-space Scanning Beam for Planar Arrays Based on tri-polarized Elements
CHEN Xi, FU Ming, HAN Guodong
2023, 45(6): 2115-2122. doi: 10.11999/JEIT220520
Abstract:
To achieve high performance beam scanning of tri-polarized planar arrays over a wide angle range, this study presents a tri-polarized element-based method that forms a half-space scanning beam of planar arrays . Moreover, the beam scanning characteri...
Research on Microwave Frequency Shift Method Based on Photonics
GAO Yongsheng, TAN Jiajun, WANG Ruiqiong
2023, 45(6): 2123-2133. doi: 10.11999/JEIT220503
Abstract:
Microwave Frequency Shift (MFS) technology is widely used in electronic countermeasures, satellite communications and frequency diverse array radar. The MFS method based on photonics has the advantages of large bandwidth and pure spectrum. In order t...
Handwriting Number Recognition Based on Millimeter-wave Radar with Dual-view Feature Fusion Network
FENG Xiang, LIU Tao, CUI Wenqing, WU Mufu, LI Fengcong, ZHAO Yinan
2023, 45(6): 2134-2143. doi: 10.11999/JEIT220687
Abstract:
Against the epidemic background, the contactless human-computer interaction has great application prospects in the medical and health field. Among them, using gesture recognition method to realize non-contact instrument control is becoming the hotspo...
Unmanned Aerial Vehicle Path Planning Method Based on Search Rule and Cross Entropy Optimization
HU Lei, ZHAO Hui, NAN Yi, YI Guoxing, WANG Hao, CAO Zhihui
2023, 45(6): 2144-2152. doi: 10.11999/JEIT220579
Abstract:
The Rapidly-exploring Random Tree (RRT) algorithm has some shortcomings, including low computation efficiency and non-asymptotic optimality. An Improved RRT (IRRT) algorithm based on search rules and cross entropy optimization is presented in this pa...
Sub-Nyquist Sampling of Pulse Streams Based on the Real Part of Fourier Coefficients
YUN Shuangxing, XU Hongwei, FU Ning, QIAO Liyan
2023, 45(6): 2153-2161. doi: 10.11999/JEIT220558
Abstract:
The Finite Rate of Innovation (FRI) theory can realize the sub-Nyquist sampling of pulse streams signal by a sampling rate much lower than its Nyquist frequency. Most classical FRI reconstruction algorithms operate on the basis of Fourier coefficient...
Spectral Norm Feature Detection Method in FRFT Domain of Targets in Sea Clutter
GUAN Jian, JIANG Xingyu, LIU Ningbo, HUANG Yong, DING Hao
2023, 45(6): 2162-2170. doi: 10.11999/JEIT220667
Abstract:
In order to optimize the coherent accumulation, repeated searches are required. However, due to the randomness and time variability, it is difficult to search for the optimal transformation order. In order to solve this problem, singular value decomp...
Distributed Multi-Bernoulli Extended Targets Tracking Based on Arithmetic Average Fusion
WU Sunyong, ZHENG Xiangfei, LI Tiancheng, HU Qingshuang, LÜ Xiaoyan
2023, 45(6): 2171-2179. doi: 10.11999/JEIT220688
Abstract:
In distributed sensor networks, the inconsistent estimation results of state parameters such as azimuth and axis lengths of the same extended target under different sensors lead to the difficulty of extended target estimation association, which gives...
3D Parameters Estimation of Helicopter with Constant Speed Using Single Hydrophone
ZHANG Huaxia, WANG Huigang, SUN Weitao, GU Qingyue, RONG Shaowei
2023, 45(6): 2180-2187. doi: 10.11999/JEIT220693
Abstract:
The three-dimensional parameter estimation algorithm of the helicopter with constant speed flight from the underwater acoustic data with single hydrophone, which extended the traditional two-dimension flight parameters estimation is proposed. Firstly...
Image and Intelligent Information Processing
Deep Image Prior Acceleration Method for Target Offset in Low-dose CT Images Denoising
ZENG Li, XIONG Xilin, CHEN Wei
2023, 45(6): 2188-2196. doi: 10.11999/JEIT220551
Abstract:
Low Dose CT (LDCT) images can significantly reduce the X-ray radiation dose, but there is a lot of noise that affects doctors' diagnosis. Deep Image Prior (DIP) is an unsupervised deep learning algorithm that uses random tensor as the input of neural...
Robustness Enhancement Method of Deep Learning Model Based on Information Bottleneck
DONG Qingkuan, HE Junlin
2023, 45(6): 2197-2204. doi: 10.11999/JEIT220603
Abstract:
As the core algorithm of deep learning technology, deep neural network is easy to make wrong judgment on the adversarial examples with imperceptive perturbation. This situation brings new challenges to the security of deep learning model. The resista...
High Performance YOLOv5: Research on High Performance Target Detection Algorithm for Embedded Platform
LIU Qiaoshou, ZHAO Zhiyuan, WANG Juncheng, PI Shengwen
2023, 45(6): 2205-2215. doi: 10.11999/JEIT220413
Abstract:
Considering the problems of imbalanced comprehensive performance of the current deep learning single-stage detection algorithms and difficult deployment in embedded devices, one High-Performance object detection algorithm for embedded platforms is pr...
Transfer Fuzzy C-Means Clustering Based on Maximum Mean Discrepancy
JIAO Lianmeng, WANG Feng, PAN Quan
2023, 45(6): 2216-2225. doi: 10.11999/JEIT220645
Abstract:
In this paper, a Transfer Fuzzy C-Means clustering algorithm based on Maximum Mean Discrepancy (TFCM-MMD) is proposed. TFCM-MMD solves the problem that the transfer learning effect of the transfer fuzzy C-means clustering algorithm is weakened when t...
Character-level Adversarial Samples Generation Approach for Chinese Text Classification
ZHANG Shunxiang, WU Houyue, ZHU Guangli, Xu Xin, SU Mingxing
2023, 45(6): 2226-2235. doi: 10.11999/JEIT220563
Abstract:
Adversarial sample generation is a technique that makes the neural network produce misjudgments by adding small disturbance information. Which can be used to detect the robustness of text classification models. At present, the methods of sample gener...
MSIANet: Multi-scale Interactive Attention Crowd Counting Network
ZHANG Shihui, ZHAO Weibo, WANG Lei, WANG Wei, LI Qunpeng
2023, 45(6): 2236-2245. doi: 10.11999/JEIT220644
Abstract:
Factors such as scale variation, occlusion and complex backgrounds make crowd number estimation in crowded scenes a challenging task. To cope with the scale variation in crowd images and the scope limitation and the feature similarity problem in exis...
Saliency Detection of Panoramic Images Based on Robust Vision Transformer and Multiple Attention
CHEN Xiaolei, ZHANG Pengcheng, LU Yubing, CAO Baoning
2023, 45(6): 2246-2255. doi: 10.11999/JEIT220684
Abstract:
Considering the problems of low detection accuracy, slow model convergence speed and large amount of computation in current panorama image saliency detection methods, a U-Net with Robust vision transformer and Multiple attention at tention modules (U...
Pedestrian Re-Identification Based on CNN and TransFormer Multi-scale Learning
CHEN Ying, KUANG Cheng
2023, 45(6): 2256-2263. doi: 10.11999/JEIT220601
Abstract:
Person Re-IDentification (ReID) aims to retrieve specific pedestrian targets across surveillance cameras. For the purpose of aggregating the multi-granularity features of pedestrian images and further solving the problem of deep feature mapping corre...
Automatic Kidney CT Images Segmentation Algorithm Based on 3D Fuzzy Connectedness and Pulse Coupled Neural Network
BAI Peirui, LI Zheng, LIU Qingyi, WANG Meng, BI Lijun, REN Yande, WANG Chengjian
2023, 45(6): 2264-2272. doi: 10.11999/JEIT221252
Abstract:
Automatic and accurate segmentation of 3D kidney CT image is of great significance to reduce the workload of doctors and improve the efficiency of computer-aided diagnosis. However, due to the structural complexity of kidney organs and the gray simil...
Research on 3D Convolutional Neural Network and Its Application to Video Understanding
BAI Jing, YANG Zhanyuan, PENG Bin, LI Wenjing
2023, 45(6): 2273-2283. doi: 10.11999/JEIT220596
Abstract:
3D Convolutional Neural Network (3D CNN) has been a hot topic in deep learning research over the last few years and has made great achievements in computer vision. Despite years of research and abundant results, a comprehensive and detailed review of...
A Particle Filter Method Based on Harris Hawks Optimization Improved by Encircling Strategy
LI Ji, ZHOU Zhanhong, HE Honglin, LIU Wenguang, LI Yiqing
2023, 45(6): 2284-2292. doi: 10.11999/JEIT220532
Abstract:
To deal with the weight degradation and sample impoverishment problems of particle filter, a Particle Filter based on Harris Hawks Optimization improved by Encircling strategy (EHHOPF) is designed. Firstly, the global search strategy in Harris Hawks ...