Search scope:
排序: Display mode:
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
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
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
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
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
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
(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
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
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
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
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
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
Keywords: Haze removal Dark channel prior Hazy image model Bilateral filtering
Zhang Qingsong,Liu Mao,Zhao Guomin
Strategic Study of CAE 2007, Volume 9, Issue 4, Pages 64-69
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
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
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
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