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A data-driven method for estimating the target position of low-frequency sound sources in shallow seas Research Articles

Xianbin Sun, Xinming Jia, Yi Zheng, Zhen Wang,robin_sun@qut.edu.cn,jiaxinming_123@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 1020-1030 doi: 10.1631/FITEE.2000181

Abstract: Estimating the target position of low-frequency sound sources in a environment is difficult due to the high cost of hydrophone placement and the complexity of the propagation model. We propose a compressed (C-RNN) model that compresses the signal received by a into a dynamic sound intensity signal and compresses the target position of the sound source into a GeoHash code. Two types of data are used to carry out prior training on the , and the trained network is subsequently used to estimate the target position of the sound source. Compared with traditional mathematical models, the C-RNN model functions independently under the complex sound field environment and terrain conditions, and allows for real-time positioning of the sound source under low-parameter operating conditions. Experimental results show that the average error of the model is 56 m for estimating the target position of a low-frequency sound source in a environment.

Keywords： 矢量水听器；浅海；低频；位置估计；循环神经网络    

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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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Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid Article

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Engineering 2021, Volume 7, Issue 6,   Pages 777-786 doi: 10.1016/j.eng.2020.08.027

Abstract:

A person’s eye gaze can effectively express that person’s intentions. Thus, gaze estimation is an important approach in intelligent manufacturing to analyze a person’s intentions. Many gaze estimation methods regress the direction of the gaze by analyzing images of the eyes, also known as eye patches. However, it is very difficult to construct a person-independent model that can estimate an accurate gaze direction for every person due to individual differences. In this paper, we hypothesize that the difference in the appearance of each of a person’s eyes is related to the difference in the corresponding gaze directions. Based on this hypothesis, a differential eyes’ appearances network (DEANet) is trained on public datasets to predict the gaze differences of pairwise eye patches belonging to the same individual. Our proposed DEANet is based on a Siamese neural network (SNNet) framework which has two identical branches. A multi-stream architecture is fed into each branch of the SNNet. Both branches of the DEANet that share the same weights extract the features of the patches; then the features are concatenated to obtain the difference of the gaze directions. Once the differential gaze model is trained, a new person’s gaze direction can be estimated when a few calibrated eye patches for that person are provided. Because personspecific calibrated eye patches are involved in the testing stage, the estimation accuracy is improved. Furthermore, the problem of requiring a large amount of data when training a person-specific model is effectively avoided. A reference grid strategy is also proposed in order to select a few references as some of the DEANet’s inputs directly based on the estimation values, further thereby improving the estimation accuracy. Experiments on public datasets show that our proposed approach outperforms the state-of-theart methods.

Keywords： Gaze estimation     Differential gaze     Siamese neural network     Cross-person evaluations     Human–robot collaboration    

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An Estimate Method of Parametric in Reliability Engineering

Han Ming

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 51-56

Abstract:

In this paper, the Bayesian method, an estimate method for parameter in reliability engineering is put forward. The author gives definition of the new Bayesian estimate for failure probability and failure rate, and shows the estimate of the failure probability and the failure rate by new Bayesian method. Finally, calculations are performed regarding to practical problems, which show that the new Bayesian method is feasible, easy to operate, and convenient to use for engineers and technicians in fieldwork.

Keywords： reliability engineering     parameter estimate     new Bayesian estimate     failure probability    

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Effect analysis of fire location on fire growth in large space

Shi Long,Zhang Ruifang,Xie Qiyuan,Fu Lihua

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 37-42

Abstract:

Fire design is the basis of quantitative evaluation in performance-based fire design, which includes the determination of fire location and heat release rate (HRR). Take large-scale exhibition hall for example, utilizing fire radiation model and smoke radiation model and combining the simulate result of CFAST 6.0, analysis of fire grown situation is taken with different fire locations in large space. Research reveals: only considering fire radiation, when fire develops in a location of bilateral symmetry, fire grows faster with HRR peak values are larger and the time of attain HRR peak value earlier and duration time are shorter than others. Thereinto, fire grow fastest when fire develops in the location of center symmetry. Moreover, combining fire radiation and smoke radiation, HRR peak values consumedly increases and almost the same in each scenarios. But other rules, which contain fire growth and the correlative time, when considering fire radiation and smoke radiation, is the same as the situation of just considering fire radiation.

Keywords： fire growth     fire design in large space     fire location     fire radiation model     smoke radiation model    

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Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles Article

Bing TIAN,Qun-tao AN,Li SUN,Dong-yang SUN,Jian-dong DUAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 803-813 doi: 10.1631/FITEE.1500298

Abstract: A novel nonlinear model for surface permanent magnet synchronous motors (SPMSMs) is adopted to estimate the initial rotor position for hybrid electric vehicles (HEVs). Usually, the accuracy of initial rotor position estimation for SPMSMs relies on magnetic saturation. To verify the saturation effect, the transient finite element analysis (FEA) model is presented first. Hybrid injection of a static voltage vector (SVV) superimposed with a high-frequency rotating voltage is proposed. The magnetic polarity is roughly identified with the aid of the saturation evaluation function, based on which an estimation of the position is performed. During this procedure, a special demodulation is suggested to extract signals of iron core saturation and rotor position. A Simulink/MATLAB platform for SPMSMs at standstill is constituted, and the effectiveness of the proposed strategy is verified. The proposed method is also validated by experimental results of an SPMSM drive.

Keywords： Surface permanent magnet synchronous motor (SPMSM)     Initial position estimation     Nonlinear model     Hybrid injection     Position observer    

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A locality-based replication manager for data cloud Article

Reza SOOKHTSARAEI,Javad ARTIN,Ali GHORBANI,Ahmad FARAAHI,Hadi ADINEH

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1275-1286 doi: 10.1631/FITEE.1500391

Abstract: Efficient data management is a key issue for environments distributed on a large scale such as the data cloud. This can be taken into account by replicating the data. The replication of data reduces the time of service and the delay in availability, increases the availability, and optimizes the distribution of load in the system. It is worth mentioning, however, that with the replication of data, the use of resources and energy increases due to the storing of copies of the data. We suggest a replication manager that decreases the cost of using resources, energy, and the delay in the system, and also increases the availability of the system. To reach this aim, the suggested replication manager, called the locality replication manager (LRM), works by using two important algorithms that use the physical adjacency feature of blocks. In addition, a set of simulations are reported to show that LRM can be a suitable option for distributed systems as it uses less energy and resources, optimizes the distribution of load, and has more availability and less delay.

Keywords： Data cloud     Replication     Graph     Locality replication manager (LRM)    

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A new auxiliary information based cumulative sum median control chart for location monitoring Regular Papers

Shahid HUSSAIN, Li-xin SONG, Shabbir AHMAD, Muhammad RIAZ

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 554-570 doi: 10.1631/FITEE.1700428

Abstract:

Control charts are commonly used tools in statistical process control for the detection of shifts in process parameters. Shewhart-type charts are efficient for large shift values, whereas cumulative sum (CUSUM) charts are effective in detecting medium and small shifts. Control chart use commonly assumes that data are free of outliers and parameters are known or correctly estimated based on an in-control process. In practice, these assumptions are not often true because some processes occasionally have outliers. Monitoring the location parameter is usually based on mean charts, which are seriously affected by violations of these assumptions. In this paper we propose several CUSUM median control charts based on auxiliary variables, and offer comparisons with their corresponding mean control charts. To monitor the location parameter, we examined the performance of mean and median control charts in the presence and absence of outliers. Both symmetric and non-symmetric processes were studied to examine the properties of the proposed control charts to monitor the location parameter using CUSUM control charts. We used different run length measures to study in-control and out-of-control performances of CUSUM charts. Results revealed that our proposed control charts perform much better than the traditional charts in the presence of outliers. A real application of our study was provided using data on concrete compressive strength as it relates to the quality of cement manufacturing.

Keywords： Average run length     Auxiliary information     CUSUM control charts     Location parameter     Median control charts    

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Optimal Robust Control of AC Position Servo System for Multiple Rockets

Chai Huawei,Ma Dawei,Li Zhigang,Le Guigao,Wang Feng

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 83-87

Abstract:

In order to realize high speed and high precision position control in an AC servo system,  in view of such kinds of uncertainties as moment of inertia and load moment changing widely,  and strong impact moment,  an optimal robust control tactics is put forward.  Experimental results show that this control tactics has strong robustness,  and has fairly good dynamic performances and steady-state precision.

Keywords： rocket mortar     AC position servo system     robust control     optimal control    

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Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion Method Article

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Engineering 2021, Volume 7, Issue 10,   Pages 1471-1484 doi: 10.1016/j.eng.2020.10.022

Abstract:

Lithium-ion batteries (LIBs) have emerged as the preferred energy storage systems for various types of electric transports, including electric vehicles, electric boats, electric trains, and electric airplanes. The energy management of LIBs in electric transports for all-climate and long-life operation requires the accurate estimation of state of charge (SOC) and capacity in real-time. This study proposes a multistage
model fusion algorithm to co-estimate SOC and capacity. Firstly, based on the assumption of a normal distribution, the mean and variance of the residual error from the model at different ageing levels are used to calculate the weight for the establishment of a fusion model with stable parameters. Secondly, a differential error gain with forward-looking ability is introduced into a proportional–integral observer
(PIO) to accelerate convergence speed. Thirdly, a fusion algorithm is developed by combining a multistage model and proportional–integral–differential observer (PIDO) to co-estimate SOC and capacity under a complex application environment. Fourthly, the convergence and anti-noise performance of the fusion algorithm are discussed. Finally, the hardware-in-the-loop platform is set up to verify the performance
of the fusion algorithm. The validation results of different aged LIBs over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation of SOC and capacity with the relative errors within 2% and 3.3%, respectively.

Keywords： State of charge     Capacity estimation     Model fusion     Proportional–integral–differential observer     Hardware-in-the-loop    

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The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 56-61

Abstract:

Based on the unified estimation-theoretic framework, an effective method of using the gradual Gaussian multidimensional pre-filter to improve the optical flow estimation is presented. The pre-filtering and smoothing effect, which attenuate the temporal aliasing and the interesting signal structure of the optical flow field, are altered with adjusting the spatiotemporal standard deviation parameters. The first 50 frames of the standard Flower Garden and Football video sequence are tested as the reference image sequences, and the LK algorithm as the reference optical flow computing method. Experimental results in objective evaluation show that the optimum temporal standard deviation parameter is 0.4, the optimum spatial standard deviation parameter is in a range of 1.6～2.0 under the condition that the pre-filtering window size is 5 × 5 pixels. After pre-filtering the image sequence by the Gaussian multidimensional filter, the average PSNR of the reconstructed frames enhance 2.572 dB, higher than that using the standard optical flow computing method by nearly 13.6 % .

Keywords： optical flow computing     Gaussian multidimensional filter     PSNR     motion estimation    

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Anenhanced mixedmodulated Lagrange explicit time delay estimator with noisy input Article

Wei XIA,Ju-lei ZHU,Wen-ying JIANG,Ling-feng ZHU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1067-1073 doi: 10.1631/FITEE.1500417

Abstract: The mixed modulated Lagrange explicit time delay estimation (MMLETDE) algorithm provides an efficient time delay estimation between narrowband or sinusoidal signals. However, it does not explicitly consider the additive measurement noise at the input, which actually exists in practice. Aiming at this issue, an enhanced MMLETDE algorithm is proposed for noisy inputs based on the unbiased impulse response estimation technique, assuming that the noise power ratio is known a priori. Simulation results show that for narrowband signals or sinusoids over a wide frequency range, the proposed algorithm with a small filter order performs well in moderate and high noise scenarios.

Keywords： Time delay estimation     Adaptive filter     Noisy input     Modulated Lagrange     Unbiased impulse response estimation    

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Target height and multipath attenuation joint estimation with complex scenarios for very high frequency radar Research Articles

Sheng CHEN, Yongbo ZHAO, Yili HU, Chenghu CAO, Xiaojiao PANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 937-949 doi: 10.1631/FITEE.2100003

Abstract:

for is a difficult problem due to the in the radar field, especially in where the reflection condition is unknown. To deal with this problem, we propose an algorithm of target height and multipath attenuation joint estimation. The amplitude of the surface reflection coefficient is estimated by the characteristic of the data itself, and it is assumed that there is no reflected signal when the amplitude is very small. The phase of the surface reflection coefficient and the phase difference between the direct and reflected signals are searched as the same part, and this represents the multipath phase attenuation. The Cramer-Rao bound of the proposed algorithm is also derived. Finally, computer simulations and real data processing results show that the proposed algorithm has good estimation performance under and works well with only one snapshot.

Keywords： Low-angle estimation     Very high frequency (VHF) radar     Complex scenarios     Multipath effect     Height estimation    

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Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 86-93

Abstract:

The LS channel estimation of OFDM systems can be viewed as a noisy observation of the true channel frequency response, so the noise component can be compressed through subspace projecting. In this paper, the substance of the improvement of LS channel estimation is analyzed when subspace projecting is enforced, and the general framework to perform subspace projecting in the context of OFDM channel estimation is given, based on which this method is exterded to non-LS channel estimation. When signal subspace varies with time, subspace tracking should be performed to maintain a good estimation of signal subspace. At the end of this paper, a subspace tracking based parametric channel estimator is presented, and computer simulation shows that this channel estimator outperforms its nonparametric counterparts.

Keywords： OFDM     subspace     projecting     tracking     channel estimation    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract:

A new estimation method based on modified performance index is proposed for time-varying process to avoid the ill-condition of least squares method. Based on the new method,a series of new recursive algorithms such as the new recursive least squares algorithm,the instrumental variable algorithm are constructed. The new identification method can ease the ill-condition and improve the identification accuracy without using the additional signals. Moreover, without additional computation,it is suitable for engineering practice very much. Both simulation results and practical operation show the new identification algorithm is effective. In this paper, the justification of this modified algorithm is proved.

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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Title Author Date Type Operation

A data-driven method for estimating the target position of low-frequency sound sources in shallow seas

Xianbin Sun, Xinming Jia, Yi Zheng, Zhen Wang,robin_sun@qut.edu.cn,jiaxinming_123@163.com

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

Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid

Song Gu, Lihui Wang, Long He, Xianding He, Jian Wang

Journal Article

An Estimate Method of Parametric in Reliability Engineering

Han Ming

Journal Article

Effect analysis of fire location on fire growth in large space

Shi Long,Zhang Ruifang,Xie Qiyuan,Fu Lihua

Journal Article

Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles

Bing TIAN,Qun-tao AN,Li SUN,Dong-yang SUN,Jian-dong DUAN

Journal Article

A locality-based replication manager for data cloud

Reza SOOKHTSARAEI,Javad ARTIN,Ali GHORBANI,Ahmad FARAAHI,Hadi ADINEH

Journal Article

A new auxiliary information based cumulative sum median control chart for location monitoring

Shahid HUSSAIN, Li-xin SONG, Shabbir AHMAD, Muhammad RIAZ

Journal Article

Optimal Robust Control of AC Position Servo System for Multiple Rockets

Chai Huawei,Ma Dawei,Li Zhigang,Le Guigao,Wang Feng

Journal Article

Co-Estimation of State of Charge and Capacity for Lithium-Ion Batteries with Multi-Stage Model Fusion Method

Rui Xiong, Ju Wang, Weixiang Shen, Jinpeng Tian, Hao Mu

Journal Article

The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Journal Article

Anenhanced mixedmodulated Lagrange explicit time delay estimator with noisy input

Wei XIA,Ju-lei ZHU,Wen-ying JIANG,Ling-feng ZHU

Journal Article

Target height and multipath attenuation joint estimation with complex scenarios for very high frequency radar

Sheng CHEN, Yongbo ZHAO, Yili HU, Chenghu CAO, Xiaojiao PANG

Journal Article

Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article