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ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: Since the landmark work of R. E. Kalman in the 1960s, considerable efforts have been devoted to time series state space models for a large variety of dynamic estimation problems. In particular, parametric filters that seek analytical estimates based on a closed-form Markov–Bayes recursion, e.g., recursion from a Gaussian or Gaussian mixture (GM) prior to a Gaussian/GM posterior (termed ‘Gaussian conjugacy’ in this paper), form the backbone for a general time series filter design. Due to challenges arising from nonlinearity, multimodality (including target maneuver), intractable uncertainties (such as unknown inputs and/or non-Gaussian noises) and constraints (including circular quantities), etc., new theories, algorithms, and technologies have been developed continuously to maintain such a conjugacy, or to approximate it as close as possible. They had contributed in large part to the prospective developments of time series parametric filters in the last six decades. In this paper, we review the state of the art in distinctive categories and highlight some insights that may otherwise be easily overlooked. In particular, specific attention is paid to nonlinear systems with an informative observation, multimodal systems including Gaussian mixture posterior and maneuvers, and intractable unknown inputs and constraints, to fill some gaps in existing reviews and surveys. In addition, we provide some new thoughts on alternatives to the first-order Markov transition model and on filter evaluation with regard to computing complexity.

Keywords： Kalman filter     Gaussian filter     Time series estimation     Bayesian filtering     Nonlinear filtering     Constrainedfiltering     Gaussian mixture     Maneuver     Unknown inputs    

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Ion beam figuring of continuous phase plates based on the frequency filtering process

Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 1,   Pages 110-115 doi: 10.1007/s11465-017-0430-5

Abstract: This study proposes a multi-pass IBF approach with different beam diameters based on the frequency filteringWe present the selection principle of the frequency filtering method, which incorporates different removalA high-precision surface can be obtained as long as the filtering frequency is suitably selected.

Keywords： beam figuring (IBF)     continuous phase plates (CPPs)     machining accuracy     machining efficiency     frequency filtering    

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Filtering antennas: from innovative concepts to industrial applications Review Articles

Yun-fei CAO, Yao ZHANG, Xiu-yin ZHANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 1,   Pages 116-127 doi: 10.1631/FITEE.1900474

Abstract: A filtering antenna is a device with both filtering and radiating capabilities.The filtering antenna designs include single- and dual-polarized filtering patch antennas, a single-polarizedomni-directional filtering dipole antenna, and a dual-polarized filtering dipole antenna for the baseThe filtering antennas in this paper feature an innovative concept of eliminating extra filtering circuitsFor each design, the filtering structure is finely integrated with the radiators or feeding lines.

Keywords： Filtering antenna     Dual-band     Antenna array    

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A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence

Hanli WU, Hua ZHAO, Jenny LIU, Zhentao HU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1232-1246 doi: 10.1007/s11709-020-0653-0

Abstract: A real-time vehicle monitoring is crucial for effective bridge maintenance and traffic management because overloaded vehicles can cause damage to bridges, and in some extreme cases, it will directly lead to a bridge failure. Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively used to monitor vehicle speed and weight on highways. However, the dynamic effect and data noise may have an adverse impact on the bridge responses during and immediately following the vehicles pass the bridge. The fast Fourier transform (FFT) method, which can significantly purify the collected structural responses (dynamic strains) received from sensors or transducers, was used in axle counting, detection, and axle weighing technology in this study. To further improve the accuracy of the BWIM system, the field-calibrated influence lines (ILs) of a continuous multi-girder bridge were regarded as a reference to identify the vehicle weight based on the modified Moses algorithm and the least squares method. experimental results indicated that the signals treated with FFT filter were far better than the original ones, the efficiency and the accuracy of axle detection were significantly improved by introducing the FFT method to the BWIM system. Moreover, the lateral load distribution effect on bridges should be considered by using the calculated average ILs of the specific lane individually for vehicle weight calculation of this lane.

Keywords： bridge weigh-in-motion     continuous bridge     fast Fourier transform     influence line     axle weight calculation    

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Resampling methods for particle filtering: identical distribution, a new method, and comparable study

Tian-cheng LI,Gabriel VILLARRUBIA,Shu-dong SUN,Juan M. CORCHADO,Javier BAJO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 969-984 doi: 10.1631/FITEE.1500199

Abstract: Resampling is a critical procedure that is of both theoretical and practical significance for efficient implementation of the particle filter. To gain an insight of the resampling process and the filter, this paper contributes in three further respects as a sequel to the tutorial (Li et al., 2015). First, identical distribution (ID) is established as a general principle for the resampling design, which requires the distribution of particles before and after resampling to be statistically identical. Three consistent metrics including the (symmetrical) Kullback-Leibler divergence, Kolmogorov-Smirnov statistic, and the sampling variance are introduced for assessment of the ID attribute of resampling, and a corresponding, qualitative ID analysis of representative resampling methods is given. Second, a novel resampling scheme that obtains the optimal ID attribute in the sense of minimum sampling variance is proposed. Third, more than a dozen typical resampling methods are compared via simulations in terms of sample size variation, sampling variance, computing speed, and estimation accuracy. These form a more comprehensive understanding of the algorithm, providing solid guidelines for either selection of existing resampling methods or new implementations.

Keywords： Particle filter     Resampling     Kullback-Leibler divergence     Kolmogorov-Smirnov statistic    

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State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: The states of the working appliances are identified from aggregated power signals using the Kalman filtering

Keywords： nonintrusive load monitoring (NILM)     load disaggregation     online load disaggregation     Kalman filtering    

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Efficientmesh denoising via robust normal filtering and alternate vertex updating Article

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1828-1842 doi: 10.1631/FITEE.1601229

Abstract: The most challenging problem in mesh denoising is to distinguish features from noise. Based on the robust guided normal estimation and alternate vertex updating strategy, we investigate a new feature-preserving mesh denoising method. To accurately capture local structures around features, we propose a corner-aware neighborhood (CAN) scheme. By combining both overall normal distribution of all faces in a CAN and individual normal influence of the interested face, we give a new consistency measuring method, which greatly improves the reliability of the estimated guided normals. As the noise level lowers, we take as guidance the previous filtered normals, which coincides with the emerging rolling guidance idea. In the vertex updating process, we classify vertices according to filtered normals at each iteration and reposition vertices of distinct types alternately with individual regularization constraints. Experiments on a variety of synthetic and real data indicate that our method adapts to various noise, both Gaussian and impulsive, no matter in the normal direction or in a random direction, with few triangles flipped.

Keywords： Mesh denoising     Guided normal filtering     Alternate vertex updating     Corner-aware neighborhoods    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptive filtering

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Preference transfer model in collaborative filtering for implicit data Project supported by Article

Bin JU,Yun-tao QIAN,Min-chao YE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 489-500 doi: 10.1631/FITEE.1500313

Abstract: liked or disliked by active users, and how much an item will be liked, is a main task of collaborative filteringmost likely bought items for a target user, which is a subproblem of the rank problem of collaborative filtering, became an important task in collaborative filtering.propose a novel method called the preference transfer model for effective cross-domain collaborative filtering

Keywords： Recommender systems     Collaborative filtering     Preference transfer model     Cross domain     Implicit data    

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Integration of microsensor for microsurgery robot’s end-effector

HU Yida, LI Dazhai, YANG Yang, SUN Xuguang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 205-209 doi: 10.1007/s11465-007-0035-5

Abstract: With the power spectral estimation of sensor data, two digital filtering methods are proposed, to helpThey are the filtering method of lowpass-bandstop serial structure suitable for a PC, and a shift averagefiltering algorithm suitable for the sensor data board, respectively.

Keywords： integration     filtering     structure suitable     robotic microsurgery     position microsensor    

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Recognition of diamond grains on surface of fine diamond grinding wheel

HUO Fengwei, JIN Zhuji, KANG Renke, GUO Dongming, YANG Chun

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 325-331 doi: 10.1007/s11465-008-0071-9

Abstract: To recognize diamond grains, digital filtering is used to eliminate the high frequency disturbance from

Keywords： topography     frequency disturbance     filtering     analysis     wavelength    

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Sustainable Supply Model Design of Public Rental Housing —Case Study of Chongqing

Xiao Li,Xiang Gu,Yue Teng,Pan Li

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 410-416 doi: 10.15302/J-FEM-2014050

Abstract: Public rental housing is an important governmental project. Within the next three years, Chongqing municipal government proposes building 40×10 m of public rental housing to solve the housing problem for 2 million people. Many problems of sustainability have happened in long-term large-scale construction, including gradually-slow renting progress, the shortage of funds, public rental housing community facilities are retrograde, and the selected sites are at the city’s edge. This paper analyzes the Chongqing public rental housing situation from the perspective of sustainable public rental housing supply, putting forward a sustainable supply model that is suitable for Chongqing, and then calculates their portion.

Keywords： public rental housing     sustainability     supply model     filtering theory    

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Ka-band broadband filtering packaging antenna based on through-glass vias (TGVs) Research Article

Zhen FANG, Jihua ZHANG, Libin GAO, Hongwei CHEN, Wenlei LI, Tianpeng LIANG, Xudong CAI, Xingzhou CAI, Weicong JIA, Huan GUO, Yong LI,zhenfang@std.uestc.edu.cn,jhzhang@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 916-926 doi: 10.1631/FITEE.2200573

Abstract: This work presents a novel design of Ka-band (33 GHz) that features broadband and great filtering responseTo demonstrate the performance of the proposed design, a 33-GHz broadband filtering antenna is optimized

Keywords： Filtering packaging antenna (FPA)     Through-glass vias (TGVs)     3D packaging devices     Laser bonding    

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Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 94-97

Abstract:

Exponential smoothing is an efficient method for forecasting and decision-making.  The forecasting model of exponential smoothing to forecast the displacement at Observation Point 5 of certain city hazardous landslide is applied in this paper. According to the characteristics of observation forecast formula with linear trend of the twice exponential smoothing,  appropriate formulae calculating at,  bt and suitable exponential smoothing value are selected and used to make a forecast. The forecast results show that the errors between the forecast values and the observation values are very little. And it shows that this model may be well applied to the forecast of the displacement in the deformation of slopes.

Keywords： exponential smoothing     forecasting slope displacement self-adaptive filtering    

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Studies on Precise Spacecraft Navigation and Positioning Using GPS

Xiang Kaiheng,Qu Guangji

Strategic Study of CAE 2004, Volume 6, Issue 1,   Pages 86-91

Abstract: GPS measurement technology, Encke method to solve satellite orbit perturbation and generalized Kalman filtering

Keywords： spacecraft     navigation     GPS     carrier phase     Kalman filtering    

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Title Author Date Type Operation

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Journal Article

Ion beam figuring of continuous phase plates based on the frequency filtering process

Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG

Journal Article

Filtering antennas: from innovative concepts to industrial applications

Yun-fei CAO, Yao ZHANG, Xiu-yin ZHANG

Journal Article

A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence

Hanli WU, Hua ZHAO, Jenny LIU, Zhentao HU

Journal Article

Resampling methods for particle filtering: identical distribution, a new method, and comparable study

Tian-cheng LI,Gabriel VILLARRUBIA,Shu-dong SUN,Juan M. CORCHADO,Javier BAJO

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

Efficientmesh denoising via robust normal filtering and alternate vertex updating

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Preference transfer model in collaborative filtering for implicit data Project supported by

Bin JU,Yun-tao QIAN,Min-chao YE

Journal Article

Integration of microsensor for microsurgery robot’s end-effector

HU Yida, LI Dazhai, YANG Yang, SUN Xuguang

Journal Article

Recognition of diamond grains on surface of fine diamond grinding wheel

HUO Fengwei, JIN Zhuji, KANG Renke, GUO Dongming, YANG Chun

Journal Article

Sustainable Supply Model Design of Public Rental Housing —Case Study of Chongqing

Xiao Li,Xiang Gu,Yue Teng,Pan Li

Journal Article

Ka-band broadband filtering packaging antenna based on through-glass vias (TGVs)

Zhen FANG, Jihua ZHANG, Libin GAO, Hongwei CHEN, Wenlei LI, Tianpeng LIANG, Xudong CAI, Xingzhou CAI, Weicong JIA, Huan GUO, Yong LI,zhenfang@std.uestc.edu.cn,jhzhang@uestc.edu.cn

Journal Article

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Journal Article

Studies on Precise Spacecraft Navigation and Positioning Using GPS

Xiang Kaiheng,Qu Guangji

Journal Article