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2020 Vol. 42, No. 1
Display Method:
2020, 42(1): 1-4.
Abstract:
2020, 42(1): 2-19.
doi: 10.11999/JEIT190787
Abstract:
Some current works on intelligent and connected transportation system are presented, particularly focusing on the state of the art of the framework and key technologies in China or internationally, and the research development in some critical direct...
Some current works on intelligent and connected transportation system are presented, particularly focusing on the state of the art of the framework and key technologies in China or internationally, and the research development in some critical direct...
2020, 42(1): 20-27.
doi: 10.11999/JEIT190594
Abstract:
With the rapid development of intelligent transportation, vehicle terminals generate a large number of data messages that need to be processed in real time. Competition on limited resources will increase the delay of message processing and energy con...
With the rapid development of intelligent transportation, vehicle terminals generate a large number of data messages that need to be processed in real time. Competition on limited resources will increase the delay of message processing and energy con...
2020, 42(1): 28-35.
doi: 10.11999/JEIT190610
Abstract:
For the problem of vehicle positioning in Vehicular Ad-hoc NETworks (VANETs), in order to improve the positioning accuracy and real-time performance, a high-precision and real-time localization algorithm for automatic driving vehicles is proposed, in...
For the problem of vehicle positioning in Vehicular Ad-hoc NETworks (VANETs), in order to improve the positioning accuracy and real-time performance, a high-precision and real-time localization algorithm for automatic driving vehicles is proposed, in...
2020, 42(1): 36-49.
doi: 10.11999/JEIT190820
Abstract:
In vehicular networks, high mobility and complicated behaviors of vehicles fully manifest the uniqueness of characteristics of vehicular communications. In such a scenario, the data is generated in real-time, the traffic is distributed unevenly acros...
In vehicular networks, high mobility and complicated behaviors of vehicles fully manifest the uniqueness of characteristics of vehicular communications. In such a scenario, the data is generated in real-time, the traffic is distributed unevenly acros...
2020, 42(1): 50-57.
doi: 10.11999/JEIT190595
Abstract:
For the problem that the traditional traffic accident risk prediction algorithm can not automatically discriminate data features, and the model expression ability is poor, a traffic accident risk prediction algorithm based on deep learning is propose...
For the problem that the traditional traffic accident risk prediction algorithm can not automatically discriminate data features, and the model expression ability is poor, a traffic accident risk prediction algorithm based on deep learning is propose...
2020, 42(1): 58-64.
doi: 10.11999/JEIT190612
Abstract:
The high-speed movement of vehicles inevitably leads to frequent data migration between edge servers and increases communication delay, which brings great challenges to the real-time computing service of edge servers. To solve this problem, a real-ti...
The high-speed movement of vehicles inevitably leads to frequent data migration between edge servers and increases communication delay, which brings great challenges to the real-time computing service of edge servers. To solve this problem, a real-ti...
2020, 42(1): 65-73.
doi: 10.11999/JEIT190557
Abstract:
Autonomous vehicles are equipped with multiple on-board sensors to achieve self-driving functions. However, a tremendous amount of data is generated by autonomous vehicles, which significantly challenges the real-time task processing. Through multipl...
Autonomous vehicles are equipped with multiple on-board sensors to achieve self-driving functions. However, a tremendous amount of data is generated by autonomous vehicles, which significantly challenges the real-time task processing. Through multipl...
2020, 42(1): 74-88.
doi: 10.11999/JEIT190632
Abstract:
Securely sharing and publishing location trajectory data relies on support of location privacy protection technology. Prior to the advent of differential privacy, K-anonymity and its derived models provide a means of quantitative assessment of locati...
2020, 42(1): 89-97.
doi: 10.11999/JEIT190597
Abstract:
Quantum walks are raised for teleporting qubit or qudit. Based on quantum walk teleportation, an arbitrated quantum signature scheme with quantum walks on regular graphs is suggested, in which the entanglement source does not need preparing ahead. In...
2020, 42(1): 98-104.
doi: 10.11999/JEIT190725
Abstract:
To improve the efficiency of the triangularization of ideal lattice basis, a fast algorithm for triangularizing an ideal lattice basis is proposed by studying the polynomial structure, which runs in time O(n3log2B), where n is the dimension of the la...
2020, 42(1): 105-118.
doi: 10.11999/JEIT190646
Abstract:
In radio monitoring and target location applications, the received signals are often affected by complex electromagnetic environment, such as impulsive noise and cochannel interference. Traditional signal processing methods based on second-order stat...
2020, 42(1): 119-131.
doi: 10.11999/JEIT180899
Abstract:
Automatic Target Recognition(ATR) is an important research area in the field of radar information processing. Because the deep Convolution Neural Network(CNN) does not need to carry out feature engineering and the performance of image classification ...
2020, 42(1): 132-139.
doi: 10.11999/JEIT190754
Abstract:
In the complex electromagnetic environment, multipath clutter in passive radar may be nonstationary and has jump characteristics. In order to suppress this kind of non-stationary clutter, a clutter suppression method is proposed based on channel segm...
2020, 42(1): 140-153.
doi: 10.11999/JEIT190611
Abstract:
Insect radar is the most effective tool for insect migration observation. In order to realize target recognition of insect radar, it is important to study the RCS characteristics of insects. This paper will analyze the static and dynamic Radar Cross ...
2020, 42(1): 154-163.
doi: 10.11999/JEIT190783
Abstract:
The current Synthetic Aperture Radar (SAR) target detection methods based on Convolutional Neural Network (CNN) rely on a large amount of slice-level labeled train samples. However, it takes a lot of labor and material resources to label the SAR imag...
2020, 42(1): 164-172.
doi: 10.11999/JEIT190797
Abstract:
A micro-motion gesture recognition method based on multi-channel Frequency Modulated Continuous Wave (FMCW) millimeter wave radar is proposed, and an optimal radar parameter design criterion for feature extraction of micro-motion gestures is presente...
2020, 42(1): 173-190.
doi: 10.11999/JEIT190666
Abstract:
The millimeter wave radar is robust against various environments such as rain, fog, snow. It has huge potentials in applications such as automotive radars, intelligent robots. At the same time, the rapid development of silicon technology improves the...
2020, 42(1): 191-200.
doi: 10.11999/JEIT190680
Abstract:
Ground Penetrating Radar (GPR), as a non-destructive technology, has been widely used to detect, locate, and characterize subsurface objects. Example applications include underground utility mapping and bridge deck deterioration assessment. However, ...
2020, 42(1): 201-213.
doi: 10.11999/JEIT190657
Abstract:
Pattern recognition algorithms can discover valuable information from mass data of biomedical images as guide for basic research and clinical application. In recent years, with improvement of the theory and practice of pattern recognition and machine...
2020, 42(1): 214-221.
doi: 10.11999/JEIT190559
Abstract:
Image thresholding methods based on the rough entropy segment the images without prior information except the images. There are two problems to be considered in the rough entropy based thresholding methods, i.e., measuring the incompleteness of knowl...
2020, 42(1): 222-233.
doi: 10.11999/JEIT190669
Abstract:
Compressed Sensing (CS) theory is one of the most active research fields in electronic information engineering. CS theory overcomes the limits dictated by Nyquist sampling theorem. Compared to the required minimum sampling quantity, CS proves that th...
2020, 42(1): 234-248.
doi: 10.11999/JEIT190715
Abstract:
The massive high-dimensional measurements accumulated by distributed control systems bring great computational and modeling complexity to the traditional fault diagnosis algorithms, which fail to take advantage of the higher-order information for onl...
2020, 42(1): 249-262.
doi: 10.11999/JEIT190762
Abstract:
Protograph Low Density Parity Check (P-LDPC) code is widely used in various communication systems. In order to meet the requirements of error correction performance, hardware resource loss and power consumption in different application scenarios, fur...
2020, 42(1): 263-270.
doi: 10.11999/JEIT190074
Abstract:
In order to reduce the delay of computing tasks and the total cost of the system, Mobile Eedge Computing (MEC) technology is applied to vehicular networks to improve further the service quality. The delay problem of vehicular networks is studied with...
2020, 42(1): 271-278.
doi: 10.11999/JEIT190301
Abstract:
Unbalanced load on the edge computing server will seriously affect service capabilities, a task scheduling strategy Reinforced Q-learning-Automatic Intent Picking (RQ-AIP) for edge computing scenarios is proposed. Firstly, the load balance of the ent...
2020, 42(1): 279-286.
Abstract:
