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An improved ROF denoising model based on time-fractional derivative Research Articles

Xing-ran Liao,xrliao_scu@163.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.2000067

Abstract: In this study, we discuss mainly the and texture retention issues. Usually, the has an adjustable fractional order to control the diffusion process, and its memory effect can nicely retain the image texture when it is applied to . Therefore, we design a new Rudin-Osher-Fatemi model with a based on a classical one, where the discretization in space is based on the integer-order difference scheme and the discretization in time is the approximation of the (i.e., Caputo-like difference is applied to discretize the ). Stability and convergence of such an explicit scheme are analyzed in detail. We prove that the numerical solution to the new model converges to the exact solution with the order of (+), where , , and are the time step size, fractional order, and space step size, respectively. Finally, various evaluation criteria including the signal-to-noise ratio, feature similarity, and histogram recovery degree are used to evaluate the performance of our new model. Numerical test results show that our improved model has more powerful denoising and texture retention ability than existing ones.

Keywords: 改进ROF去噪模型;时间分数阶导数;Caputo导数;图像去噪    

The application of advanced threshold denoising tothe MMW target radiation signal

Fan Qinghui,Li Xingguo

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 153-157

Abstract:

In this paper based on the characteristics of millimeter wave radiation signal for wavelet transform, non-negative wavelet coefficient is used as the wavelet coefficient of the signal. For a given threshold value, the wavelet coefficient which is smaller than the threshold is set zero and the wavelet coefficient which is larger than the threshold is set the difference between the coefficient and a constant a.The method for valuing a is inferred by the variance function of signal, and the experiments show that it has good ability of removing the noise in MMW target radiation signal.

Keywords: The application of advanced threshold denoising tothe MMW target radiation signal    

Subpixel image reconstruction and denoising based on complex wavelet

Zhang Zhi,Wei Zhihui,Xia Deshen

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 76-81

Abstract:

Composing superresolution of the remote sensing images can remedy the deficiency of the remote sensor. However, precision of the common interpolations are not high. The paper analyzes the subpixel theory of the remote sensing image and interpolates two images offsetting subpixel in order to reconstruct high resolution image. The algorithm of adaptive threshold wavelet denoising based inter-scale is used. Experiment results show this algorithm is better than common methods.

Keywords: subpixel     complex wavelet     adaptive threshold     reconstruction     denosing    

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    

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 49-52

Abstract:

The theory of wavelet thresholding denoising is analyzed and applied to process the data measured by gravimeter in order to effectively alleviate the effect of different noise in high precise gravitational system. The signal to noise ration (SNR) is used as the index for evaluating the performance of the data processing methods. Theoretical analysis and emulation experiments indicate that wavelet thresholding denoising, adaptive wavelet thresholding denoising and adaptive Kalman filtering are all effective in alleviating the effects of different noise, but the performance of adaptive wavelet thresholding denoising is best.

Keywords: gravimeter     signal processing     wavelet transform     adaptive wavelet threshold     adaptive Kalman     filering    

Improving entity linking with two adaptive features Research Article

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1620-1630 doi: 10.1631/FITEE.2100495

Abstract:

(EL) is a fundamental task in natural language processing. Based on neural networks, existing systems pay more attention to the construction of the , but ignore latent semantic information in the and the acquisition of effective information. In this paper, we propose two , in which the first adaptive feature enables the local and s to capture latent information, and the second adaptive feature describes effective information for embeddings. These can work together naturally to handle some uncertain information for EL. Experimental results demonstrate that our EL system achieves the best performance on the AIDA-B and MSNBC datasets, and the best average performance on out-domain datasets. These results indicate that the proposed , which are based on their own diverse contexts, can capture information that is conducive for EL.

Keywords: Entity linking     Local model     Global model     Adaptive features     Entity type    

The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 42-46

Abstract:

The estimation for state of cable is significant to state of cable management. The famous methods for state estimation of cable are Weibull distribution model and Arrhenius method. The two methods are analyzed and researched. A method for measurement of Arrhenius model activation energy is presented. And the Weibull distribution model is used for state estimation of cable. The simulation based on overhaul data, test data and monitor data of the cables for Arrhenius model shows the effectiveness of the approach.

Keywords: cable     state estimation     Arrhenius model     Weibull distribution    

Mouse Oocyte Enucleation with Surface Tension Assisted Method

Meng Qinggang,Zhu Shien,Zeng Shenming,Zhang Zhongcheng

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 65-69

Abstract:

In the present experiment a new simple method-Surface Tension Aided (STA)- for mouse oocyte enucleation is employed and is compared with three other ones. In method STA, the chromosome spindle was squeezed out by the surface tension of the drop edge with the help of micropipette through a slit made in advance in zona pellucida. In method A, the nucleus was aspirated out through a plat end, 25 μm micropipette via the slit. In method B, the nucleus was aspirated out through a 10μm micropipette directly. In method C, the nucleus was assumed just under the first polar body and the enucleating procedure was carried out by aspirated one third of cytoplasm beneath the polarbody. The manipulation time in method A (3 min/oocyte) was significantly longer than that in method STA (1.33min/oocyte), method B (1.30 min/oocyte) and method C (1.41 min/ oocyte) ; The cytoplasm loss in method C (28.4% ) was significantly higher than those in the other three methods. In methods STA, A and B, very small amount (approximately 5% ) of cytoplasm was lost. The accuracy rate of method C (35.3%) was significantly lower than those in the other three methods, the accuracy rate of method STA, A and B was above 95 % and there is no significant differences among these methods. Some of the cytoplasts produced by STA were used for mouse ear fibroblast cell nuclear transfer by electrofusion. Majority (76.1%) of the cell-cytoplast pairs fused to form reconstructed embryos, 85.4 % of reconstituted embryos developed to form pronuclei and 49.4% of them clove to form 2-cell embryos.

Keywords: surface tension assisted     enucleation     oocyte     mouse    

Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 71-77

Abstract:

This paper proposes the concept of both-branch fuzzy decision on X, which contains neutral universe(X*≠{x}), and the optimal decision analysis model. In addition, the paper proposes decision judgement theorem, decision discernment theorem, decision surplusage-discarding theorem and hole-digging principle on decision factors universe X. Both-branch fuzzy decision has such characteristics as decision two-direction dependence character, decision piling-synthesis character, decision branch-separating character, decision branch-degeneration character, and decision non-fault character. The research results have found application.

Keywords: both-branch fuzzy decision     decision model     judgement theorem     discernment theorem     surplusage-discarding theorem     hole-digging principle    

Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids Research Articles

Zhengcai Yang, Zhenhai Gao, Fei Gao, Xinyu Wu, Lei He,gaozh@jlu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1492-1504 doi: 10.1631/FITEE.2000439

Abstract: in autonomous vehicles is a popular research topic. Scene modeling of the driving area is a prerequisite for lane changing decision problems. A road environment representation method based on a dynamic occupancy grid is proposed in this study. The model encapsulates the data such as vehicle speed, obstacles, lane lines, and traffic rules into a form of spatial drivability probability. This information is compiled into a hash table, and the grid map is mapped into a hash map by means of hash function. A vehicle behavior decision cost equation is established with the model to help drivers make accurate vehicle lane changing decisions based on the principle of least cost, while considering influencing factors such as vehicle drivability, safety, and power. The feasibility of the strategy is verified through vehicle tests, and the results show that the system based on a of dynamic can provide to drivers taking into consideration the dynamics and safety.

Keywords: 占用网格;概率模型;换道辅助    

Analytical delay estimation of coupled RLC interconnects under ramp input

Li Xin,Janet M Wang,Tang Weiqing,Wu Huizhong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 59-64

Abstract:

The excitation in actual circuits is always nonideal, which has a definite impact on the analysis of interconnect delay. Considering the impact, the analytical delay model is proposed and the analytical delay method based on coupled RLC interconnect is presented. Then the decoupling method is improved and the coupled interconnects model under ramp input is decoupled when analyzing the interconnect segments. Finally the two-pole model is combined with the improved modified one-pole model to simplify the transfer function and the expression of delay of coupled interconnects is proposed. Experimental results demonstrate that the analysis method can evaluate the delay of coupled RLC interconnects effectively.

Keywords: ramp input     coupled RLC interconnects     delay     decoupling     two-pole model     improved modified one-pole model    

Accelerated haze removal for a single image by dark channel prior Research Articles

Bo-xuan YUE, Kang-ling LIU, Zi-yang WANG, Jun LIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1109-1118 doi: 10.1631/FITEE.1700148

Abstract: Haze scatters light transmitted in the air and reduces the visibility of images. Dealing with haze is still a challenge for image processing applications nowadays. For the purpose of haze removal, we propose an accelerated dehazing method based on single pixels. Unlike other methods based on regions, our method estimates the transmission map and atmospheric light for each pixel independently, so that all parameters can be evaluated in one traverse, which is a key to acceleration. Then, the transmission map is bilaterally filtered to restore the relationship between pixels. After restoration via the linear hazy model, the restored images are tuned to improve the contrast, value, and saturation, in particular to offset the intensity errors in different channels caused by the corresponding wavelengths. The experimental results demonstrate that the proposed dehazing method outperforms the state-of-the-art dehazing methods in terms of processing speed. Comparisons with other dehazing methods and quantitative criteria (peak signal-to-noise ratio, detectable marginal rate, and information entropy difference) are introduced to verify its performance.

Keywords: Haze removal     Dark channel prior     Hazy image model     Bilateral filtering    

A Modification of Evacuation Time Computational Model andSimulation Comparison Analyses With Olympic Stadium

Zhang Qingsong,Liu Mao,Zhao Guomin

Strategic Study of CAE 2007, Volume 9, Issue 4,   Pages 64-69

Abstract:

In this paper, a computational evacuation discrete time model(EDTM) has been presented to analyze the building egress evacuation time problem with previous works, and discusses the advantages of the use of the modified model over the use of the previous model. EDTM uses crowd flow theory and discrete computational methods to identify various width of egress that are available to the occupants for movement,  which is more accurate and practicable because the crowd flow rate is variable, while the crowd flow rate as the function of crowd density based on the empirical relations between density and velocity of crowd movement. A case of stadium stand egress is chosen for the validity of EDTM, and a comparison of EDTM with previous model and computer simulation indicates that both the EDTM and the simulation curves are found to give better predictions than the previous model. Based upon the results, EDTM shows great value in dealing with stadium,  especially the2008Beijing Olympic stadium, evacuation time calculation, egress performance design, selecting and optimizing of routes and so on.

Keywords: evacuation time     crowd flow rate     egress     simulation     Olympic stadium    

Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected inverters None

Chen-wen CHENG, Heng NIAN, Long-qi LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1420-1431 doi: 10.1631/FITEE.1601874

Abstract:

Since only one inverter voltage vector is applied during each duty cycle, traditional model predictive direct power control (MPDPC) for grid-connected inverters (GCIs) results in serious harmonics in current and power. Moreover, a high sampling frequency is needed to ensure satisfactory steady-state performance, which is contradictory to its long execution time due to the iterative prediction calculations. To solve these problems, a novel dead-beat MPDPC strategy is proposed, using two active inverter voltage vectors and one zero inverter voltage vector during each duty cycle. Adoption of three inverter vectors ensures a constant switching frequency. Thus, smooth steady-state performance of both current and power can be obtained. Unlike the traditional three-vector based MPDPC strategy, the proposed three vectors are selected based on the power errors rather than the sector where the grid voltage vector is located, which ensures that the duration times of the selected vectors are positive all the time. Iterative calculations of the cost function in traditional predictive control are also removed, which makes the proposed strategy easy to implement on digital signal processors (DSPs) for industrial applications. Results of experiments based on a 1 kW inverter setup validate the feasibility of the proposed three-vector based dead-beat MPDPC strategy.

Keywords: Grid-connected inverter     Model predictive control     Direct power control     Three vectors     Constant switching frequency     Power errors    

Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 57-61

Abstract:

Aimed at the severe problems in tokens and computations of grey numbers, which expanded unnecessarily and distorted the information heavily, this paper defined the standard interval grey number and the first and the second standard grey number, and analyzed their relationship. Furthermore, it designed the transformation rule from general grey number to the standard interval grey number, and developed the operation principle of the standard interval grey number to solve preferably the above problems. Last, the paper established the GM (1,1) model based on the interval grey number and got a good effect.

Keywords: interval grey number     standard interval grey number     token     GM(1     1) model     computation rules    

Title Author Date Type Operation

An improved ROF denoising model based on time-fractional derivative

Xing-ran Liao,xrliao_scu@163.com

Journal Article

The application of advanced threshold denoising tothe MMW target radiation signal

Fan Qinghui,Li Xingguo

Journal Article

Subpixel image reconstruction and denoising based on complex wavelet

Zhang Zhi,Wei Zhihui,Xia Deshen

Journal Article

Efficientmesh denoising via robust normal filtering and alternate vertex updating

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

Journal Article

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

Improving entity linking with two adaptive features

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Journal Article

The estimation for state of cable based on improved Weibull distribution model

Zhang Tieyan,Wang Chengmin,Sun Qiuye,Zhang Huaguang

Journal Article

Mouse Oocyte Enucleation with Surface Tension Assisted Method

Meng Qinggang,Zhu Shien,Zeng Shenming,Zhang Zhongcheng

Journal Article

Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Journal Article

Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids

Zhengcai Yang, Zhenhai Gao, Fei Gao, Xinyu Wu, Lei He,gaozh@jlu.edu.cn

Journal Article

Analytical delay estimation of coupled RLC interconnects under ramp input

Li Xin,Janet M Wang,Tang Weiqing,Wu Huizhong

Journal Article

Accelerated haze removal for a single image by dark channel prior

Bo-xuan YUE, Kang-ling LIU, Zi-yang WANG, Jun LIANG

Journal Article

A Modification of Evacuation Time Computational Model andSimulation Comparison Analyses With Olympic Stadium

Zhang Qingsong,Liu Mao,Zhao Guomin

Journal Article

Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected inverters

Chen-wen CHENG, Heng NIAN, Long-qi LI

Journal Article

Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Journal Article