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Vibration-based hypervelocity impact identification and localization Research Article

Jiao BAO, Lifu LIU, Jiuwen CAO,jwcao@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 515-529 doi: 10.1631/FITEE.2000483

Abstract: Hypervelocity impact (HVI) vibration source identification and localization have found wide applications in many fields, such as manned spacecraft protection and machine tool collision damage detection and localization. In this paper, we study the synchrosqueezed transform (SST) algorithm and the texture color distribution (TCD) based HVI source identification and localization using impact images. The extracted SST and TCD image features are fused for HVI image representation. To achieve more accurate detection and localization, the optimal selective stitching features OSSST+TCD are obtained by correlating and evaluating the similarity between the sample label and each dimension of the features. Popular conventional classification and regression models are merged by voting and stacking to achieve the final detection and localization. To demonstrate the effectiveness of the proposed algorithm, the HVI data recorded from three kinds of high-speed bullet striking on an aluminum alloy plate is used for experimentation. The experimental results show that the proposed HVI identification and localization algorithm is more accurate than other algorithms. Finally, based on sensor distribution, an accurate four-circle centroid localization algorithm is developed for HVI source coordinate localization.

Keywords： Ensemble learning     Synchrosqueezied transform     Gray-level co-occurrence matrix     Image entropy     Distance estimation    

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Adaptive compression method for underwater images based on perceived quality estimation Regular Papers

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 716-730 doi: 10.1631/FITEE.1700737

Abstract:

Underwater image compression is an important and essential part of an underwater image transmission system. An assessment and prediction method of effectively compressed image quality can assist the system in adjusting its compression ratio during the image compression process, thereby improving the efficiency of the image transmission system. This study first estimates the perceived quality of underwater image compression based on embedded coding compression and compressive sensing, then builds a model based on the mapping between image activity measurement (IAM) and bits per pixel and structural similarity (BPP-SSIM) curves, next obtains model parameters by linear fitting, and finally predicts the perceived quality of the image compression method based on IAM, compression ratio, and compression strategy. Experimental results show that the model can effectively fit the quality curve of underwater image compression. According to the rules of parameters in this model, the perceived quality of underwater compressed images can be estimated within a small error range. The presented method can effectively estimate the perceived quality of underwater compressed images, balance the relationship between the compression ratio and compression quality, reduce the pressure on the data cache, and thus improve the efficiency of the underwater image communication system.

Keywords： Underwater image compression     Set partitioning in hierarchical trees     Compressive sensing     Compression quality estimation    

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An End to End Modulating Transmission Scheme With Good Robustness Against the RPE-LTP Vocoder

Chen Liquan,Hu Aiqun,Xu Qing and Yang Xiaohui

Strategic Study of CAE 2007, Volume 9, Issue 12,   Pages 81-85

Abstract:

A novel endtoend data transmission scheme based on OFDM mechanism with good robustness against the RPE-LTP vocoder in GSM voice channel is proposed. According to the character of RPE-LTP vocoder, data are modulated to orthogonal lowfrequency sinusoidal carrier. In OFDM, the modulation is done by IFFT and the modulated signals are conformed to the time and frequency characters of RPELTP vocoder. The results of simulation show that the transmission bit rate of the proposed scheme reaches 2.4 kb/s，and the bit error rate of the scheme is lower than 0.3 %. This scheme provides a new approach for realtime secure voice data transmission over GSM system.

Keywords： vocoder     regular pulse excitedlong term prediction     OFDM     FFT    

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Complete coverage path planning for an Arnold system based mobile robot to perform specific types of missions Regular Article

Cai-hong Li, Chun Fang, Feng-ying Wang, Bin Xia, Yong Song,lich@sdut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1530-1542 doi: 10.1631/FITEE.1800616

Abstract: We propose a algorithm to plan a complete coverage trajectory for a mobile robot to accomplish specific types of missions based on the Arnold dynamical system. First, we construct a chaotic mobile robot by combining the variable of the Arnold equation and the kinematic equation of the robot. Second, we construct the s including the initial points with a relatively high coverage rate of the constructed mobile robot. Then the trajectory is contracted to the current position of the robot based on the designed strategy, to form a continuous complete coverage trajectory to execute the specific types of missions. Compared with the traditional method, the designed algorithm requires no obstacle avoidance to the boundary of the given workplace, possesses a high coverage rate, and keeps the chaotic characteristics of the produced coverage trajectory relatively unchanged, which enables the robot to accomplish special missions with features of completeness, randomness, or unpredictability.

Keywords： 混沌机器人；Arnold动力学系统；压缩变换；全覆盖遍历路径；候选集    

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Sampling formulas for 2D quaternionic signals associated with various quaternion Fourier and linear canonical transforms Research Articles

Xiaoxiao HU, Dong CHENG, Kit Ian KOU,huxiaoxiao3650@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 463-478 doi: 10.1631/FITEE.2000499

Abstract: The main purpose of this paper is to study different types of sampling formulas of quaternionic functions, which are bandlimited under various quaternion Fourier and linear canonical transforms. We show that the quaternionic bandlimited functions can be reconstructed from their samples as well as the samples of their derivatives and Hilbert transforms. In addition, the relationships among different types of sampling formulas under various transforms are discussed. First, if the quaternionic function is bandlimited to a rectangle that is symmetric about the origin, then the sampling formulas under various are identical. If this rectangle is not symmetric about the origin, then the sampling formulas under various are different from each other. Second, using the relationship between the two-sided quaternion Fourier transform and the linear canonical transform, we derive sampling formulas under various . Third, of these sampling formulas are estimated. Finally, some simulations are provided to show how the sampling formulas can be used in applications.

Keywords： Quaternion Fourier transforms     Quaternion linear canonical transforms     Sampling theorem     Quaternion partial and total Hilbert transforms     Generalized quaternion partial and total Hilbert transforms     Truncation errors    

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Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 33-37

Abstract:

A level-embedded lossless image compression method for continuous-tone still images is presented. Level (bit-plane) scalability is achieved by separating the image into two layers (the base layer and the residual layer) before compression. Excellent compression performance is obtained by exploiting both spatial and interlevel correlations. A comparison of the proposed scheme with a number of scalable and non-scalable lossless image compression algorithms indicates that the level-embedded compression incurs only a small penalty in compression efficiency over non-scalable lossless compression, while offering the significant benefit of level-scalability.

Keywords： data processing techniques     lossless image compression     context-based model     embedded level    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The Clifford Fourier transform (CFT) can be applied to both vector and scalar fields. However, due to problems with big data, CFT is not efficient, because the algorithm is calculated in each semaphore. The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectively. This has inspired us to create a new algorithm called sparse fast CFT (SFCFT), which can greatly improve the computing performance in scalar and vector fields. The experiments are implemented using the scalar field and grayscale and color images, and the results are compared with those using FFT, CFT, and sFFT. The results demonstrate that SFCFT can effectively improve the performance of multivector signal processing.

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fourier transform (SFCFT)     Clifford algebra    

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Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar None

Jue WANG, Jun WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 557-568 doi: 10.1631/FITEE.1601423

Abstract: The resolution of the multistatic passive radar imaging system (MPRIS) is poor due to the narrow bandwidth of the signal transmitted by illuminators of opportunity. Moreover, the inaccuracies caused by the inaccurate tracking system or the error position measurement of illuminators or receivers can deteriorate the quality of an image. To improve the performance of an MPRIS, an imaging method based on the tomographic imaging principle is presented. Then the compressed sensing technique is extended to the MPRIS to realize high-resolution imaging. Furthermore, a phase correction technique is developed for compen-sating for phase errors in an MPRIS. Phase errors can be estimated by iteratively solving an equation that is derived by minimizing the mean recovery error of the reconstructed image based on the principle of fixed-point iteration technique. The technique is nonparametric and can be used to estimate phase errors of any form. The effectiveness and convergence of the technique are confirmed by numerical simulations.

Keywords： Multistatic passive radar     Compressed sensing     Phase adjustment     Fixed-point iteration technique    

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Formation Process and Mechanical Deformation Behavior of a Novel Laser-Printed Compression-Induced Twisting-Compliant Mechanism Article

Jie Gao, Dongdong Gu, Chenglong Ma, Donghua Dai, Lixia Xi, Kaijie Lin, Tong Gao, Jihong Zhu, Yuexin Du

Engineering 2022, Volume 15, Issue 8,   Pages 133-142 doi: 10.1016/j.eng.2021.03.032

Abstract:

A novel compression-induced twisting (CIT)-compliant mechanism was designed based on the freedom and constraint topology (FACT) method and manufactured by means of laser powder bed fusion (LPBF). The effects of LPBF printing parameters on the formability and compressive properties of the laserprinted CIT-compliant mechanism were studied. Within the range of optimized laser powers from 375 to 450 W and with the densification level of the samples maintained at above 98%, changes in the obtained relative densities of the LPBF-fabricated CIT-compliant mechanism with the applied laser powers were not apparent. Increased laser power led to the elimination of residual metallurgical pores within the inclined struts of the CIT mechanism. The highest dimensional accuracy of 0.2% and the lowest surface roughness of 20 μm were achieved at a laser power of 450 W. The deformation behavior of the CIT-compliant mechanism fabricated by means of LPBF exhibited four typical stages: an elastic stage, a heterogeneous plastic deformation stage, a strength-destroying stage, and a deformation-destroying stage (or instable deformation stage). The accumulated compressive strain of the optimally printed CIT mechanism using a laser power of 450 W went up to 20% before fracturing, demonstrating a large deformation capacity. The twisting behavior and mechanical properties were investigated via a combination of finite-element simulation and experimental verification. An approximately linear relationship between the axial compressive strain and rotation angle was achieved before the strain reached 15% for the LPBF-processed CIT-compliant mechanism.

Keywords： Laser 3D printing     Laser powder bed fusion     Compression-induced twisting-compliant mechanism     Compression–torsion property     Mechanical properties    

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Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform fast Fourier transform Research Articles

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1251-1266 doi: 10.1631/FITEE.1900272

Abstract: Long-term can remarkably improve the ability of detection and motion of radar for s. However, the linear range migration, quadratic range migration (QRM), and Doppler frequency migration within the coherent processing interval seriously degrade the detection and estimation performance. Therefore, an efficient and noise-resistant method based on and is proposed. QRM is corrected by the second-order keystone transform. Using the relationship between the rotation angle and Doppler frequency, a novel phase compensation function is constructed. Motion parameters can be rapidly estimated by LRT and NuFFT. Compared with several representative algorithms, the proposed method achieves a nearly ideal detection performance with low computational cost. Finally, experiments based on measured radar data are conducted to verify the proposed algorithm.

Keywords： Coherent integration     Maneuvering target     Parameter estimation     Location rotation transform (LRT)     Non-uniform fast Fourier transform (NuFFT)    

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High-Throughput Screening Using Fourier-Transform Infrared Imaging Article

Erdem Sasmaz, Kathleen Mingle, Jochen Lauterbach

Engineering 2015, Volume 1, Issue 2,   Pages 234-242 doi: 10.15302/J-ENG-2015040

Abstract:

Efficient parallel screening of combinatorial libraries is one of the most challenging aspects of the high-throughput (HT) heterogeneous catalysis workflow. Today, a number of methods have been used in HT catalyst studies, including various optical, mass-spectrometry, and gas-chromatography techniques. Of these, rapid-scanning Fourier-transform infrared (FTIR) imaging is one of the fastest and most versatile screening techniques. Here, the new design of the 16-channel HT reactor is presented and test results for its accuracy and reproducibility are shown. The performance of the system was evaluated through the oxidation of CO over commercial Pd/Al2O3 and cobalt oxide nanoparticles synthesized with different reducer-reductant molar ratios, surfactant types, metal and surfactant concentrations, synthesis temperatures, and ramp rates.

Keywords： high-throughput     FTIR imaging     screening     cobalt oxide     CO oxidation    

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Asplitting-after-merging approach tomulti-FIB compression and fast refactoring in virtual routers Article

Da-fang ZHANG,Dan CHEN,Yan-biao LI,Kun XIE,Tong SHEN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1266-1274 doi: 10.1631/FITEE.1500499

Abstract: Virtual routers are gaining increasing attention in the research field of future networks. As the core network device to achieve network virtualization, virtual routers have multiple virtual instances coexisting on a physical router platform, and each instance retains its own forwarding information base (FIB). Thus, memory scalability suffers from the limited on-chip memory. In this paper, we present a splitting-after-merging approach to compress the FIBs, which not only improves the memory efficiency but also offers an ideal split position to achieve system refactoring. Moreover, we propose an improved strategy to save the time used for system rebuilding to achieve fast refactoring. Experiments with 14 real-world routing data sets show that our approach needs only a unibit trie holding 134 188 nodes, while the original number of nodes is 4 569 133. Moreover, our approach has a good performance in scalability, guaranteeing 90 000 000 prefixes and 65 600 FIBs.

Keywords： Virtual routers     Merging     Splitting     Compression     Fast refactoring    

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Compressed sensing-based structured joint channel estimation in a multi-user massive MIMO system Article

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2082-2100 doi: 10.1631/FITEE.1601635

Abstract: Acquisition of accurate channel state information (CSI) at transmitters results in a huge pilot overhead in massive multiple input multiple output (MIMO) systems due to the large number of antennas in the base station (BS). To reduce the overwhelming pilot overhead in such systems, a structured joint channel estimation scheme employing compressed sensing (CS) theory is proposed. Specifically, the channel sparsity in the angular domain due to the practical scattering environment is analyzed, where common sparsity and individual sparsity structures among geographically neighboring users exist in multi-user massive MIMO systems. Then, by equipping each user with multiple antennas, the pilot overhead can be alleviated in the framework of CS and the channel estimation quality can be improved. Moreover, a structured joint matching pursuit (SJMP) algorithm at the BS is proposed to jointly estimate the channel of users with reduced pilot overhead. Furthermore, the probability upper bound of common support recovery and the upper bound of channel estimation quality using the proposed SJMP algorithm are derived. Simulation results demonstrate that the proposed SJMP algorithm can achieve a higher system performance than those of existing algorithms in terms of pilot overhead and achievable rate.

Keywords： Compressed sensing     Multi-user massive multiple input multiple output (MIMO)     Frequency-division duplexing     Structured joint channel estimation     Pilot overhead reduction    

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Numerical Simulation of Rotor/Stator Interaction in Turbomachinery by Use of a Disturbance Vortex Method for Compressible Flow

Chen Maozhang,Peng Bo

Strategic Study of CAE 2000, Volume 2, Issue 2,   Pages 15-23

Abstract:

A disturbance vortex method for simulating rotor/stator interaction in turbomachinery was developed[1,2]. This method has some obvious advantages in simulating unsteady flow in turbomachinery, such as understandable physical picture and good convergency. However, there is an important simplification in reference 1, which ignores the disturbance expansion. As a result, the computational process is greatly simplified. The main purpose of the present paper is to take the disturbance expansion into consideration with the aim to lay down a solid mathematical and physical foundation for the disturbance vortex method. Since the disturbance expansion has been taken into account, one has to solve the mass, vorticity transport and energy transport equations for disturbance motion in a coupled way. These are the main differences between the present paperand reference 1.

To validate the computational method, the unsteady flows caused by rotor/stator interaction in the first stage of NASA - 67 compressor were simulated in reference 1. And unsteady velocity correlation parameters at several locations inside the passage were compared with the experimental data. In order to find out the influence of ignoring the disturbance expansion on computational results, the same example was studied in the present paper. From the simulation results it can seen that the disturbance vortex method still converges fast even the disturbance expansion is taken into consideration.

It is noted that the additional velocity component which is needed to meet the nonpenetrate condition on the body surface is expressed by an elliptic-type Laplace equation rather than a hyperbolic-type equation even the flow is unsteady and compressible. It is also noted that setting the disturbance expansion to be zero is not equivalent to an incompressible disturbance motion.

Keywords： turbomachinery     rotor/stator interaction     disturbance vortex method     compressible flow     unsteady flow    

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Learning-based parameter prediction for quality control in three-dimensional medical image compression Research Articles

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1169-1178 doi: 10.1631/FITEE.2000234

Abstract: is of vital importance in compressing three-dimensional (3D) medical imaging data. Optimal compression parameters need to be determined based on the specific quality requirement. In , regarded as the state-of-the-art compression tool, the quantization parameter (QP) plays a dominant role in controlling quality. The direct application of a video-based scheme in predicting the ideal parameters for 3D cannot guarantee satisfactory results. In this paper we propose a parameter prediction scheme to achieve efficient . Its kernel is a support vector regression (SVR) based learning model that is capable of predicting the optimal QP from both video-based and structural image features extracted directly from raw data, avoiding time-consuming processes such as pre-encoding and iteration, which are often needed in existing techniques. Experimental results on several datasets verify that our approach outperforms current video-based methods.

Keywords： 医学图像压缩；高效视频编码（HEVC）；质量控制；基于学习方法    

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Title Author Date Type Operation

Vibration-based hypervelocity impact identification and localization

Jiao BAO, Lifu LIU, Jiuwen CAO,jwcao@hdu.edu.cn

Journal Article

Adaptive compression method for underwater images based on perceived quality estimation

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Journal Article

An End to End Modulating Transmission Scheme With Good Robustness Against the RPE-LTP Vocoder

Chen Liquan,Hu Aiqun,Xu Qing and Yang Xiaohui

Journal Article

Complete coverage path planning for an Arnold system based mobile robot to perform specific types of missions

Cai-hong Li, Chun Fang, Feng-ying Wang, Bin Xia, Yong Song,lich@sdut.edu.cn

Journal Article

Sampling formulas for 2D quaternionic signals associated with various quaternion Fourier and linear canonical transforms

Xiaoxiao HU, Dong CHENG, Kit Ian KOU,huxiaoxiao3650@163.com

Journal Article

Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar

Jue WANG, Jun WANG

Journal Article

Formation Process and Mechanical Deformation Behavior of a Novel Laser-Printed Compression-Induced Twisting-Compliant Mechanism

Jie Gao, Dongdong Gu, Chenglong Ma, Donghua Dai, Lixia Xi, Kaijie Lin, Tong Gao, Jihong Zhu, Yuexin Du

Journal Article

Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform fast Fourier transform

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Journal Article

High-Throughput Screening Using Fourier-Transform Infrared Imaging

Erdem Sasmaz, Kathleen Mingle, Jochen Lauterbach

Journal Article

Asplitting-after-merging approach tomulti-FIB compression and fast refactoring in virtual routers

Da-fang ZHANG,Dan CHEN,Yan-biao LI,Kun XIE,Tong SHEN

Journal Article

Compressed sensing-based structured joint channel estimation in a multi-user massive MIMO system

Ruo-yu ZHANG, Hong-lin ZHAO, Shao-bo JIA

Journal Article

Numerical Simulation of Rotor/Stator Interaction in Turbomachinery by Use of a Disturbance Vortex Method for Compressible Flow

Chen Maozhang,Peng Bo

Journal Article

Learning-based parameter prediction for quality control in three-dimensional medical image compression

Yuxuan Hou, Zhong Ren, Yubo Tao, Wei Chen,3140104190@zju.edu.cn,renzhong@cad.zju.edu.cn

Journal Article