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COPPER: a combinatorial optimization problem solver with processing-in-memory architecture Correspondence
Yitong YAO, Gang DONG, Zhangming ZHU, Yintang YANG,19111110564@stu.xidian.edu.cn,gdong@xidian.edu.cn,zhangmingzhu@xidian.edu.cn,ytyang@xidian.edu.cn
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5, Pages 759-766 doi: 10.1631/FITEE.2200398
Keywords: 圆极化;滤波效应;贴片天线;衬底集成波导
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
Keywords: Kalman filter Gaussian filter Time series estimation Bayesian filtering Nonlinear filtering Constrained filtering Gaussian mixture Maneuver Unknown inputs
基于ARIMA和Kalman滤波的道路交通状态实时预测 Article
东伟 徐,永东 王,利民 贾,勇 秦,宏辉 董
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 287-302 doi: 10.1631/FITEE.1500381
Keywords: ARIMA模型;Kalman滤波;建模;训练;预测
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
Keywords: Filtering antenna Dual-band Antenna array
New Ecological Composite Technology of Glass Fiber Composite
回显权
Strategic Study of CAE 2002, Volume 4, Issue 4, Pages 93-94
Modern structural materials are developing in the direction of compounding. The key to the development of composite materials is to create composite technology with low cost and high reliability. It can reduce the cost and improve the reliability of glass fiber composite by changing the traditional late composite to the new ecological early composite.
Keywords: composite early composite single fiber composite fiber mechanical effect interface effect resin film effect
Current Source Active Power Filter Control UsingNeural Network Technologies
Wang Ping,Zhang Ke, Xu Huijun
Strategic Study of CAE 2007, Volume 9, Issue 1, Pages 40-43
In this paper,the application of neural network to power converter control is discussed.A new hysteresis comparator constructed by using neural network is introduced.Hysteresis band control is an effective and simple control method.It can easily run without many system parameters.But the switch frequency of system is not fixed.So it not only makes the system unstable but also may lessen the life span of the switches. The control method that combines the neural network technology with the hysteresis band technology has a high performance in response of current.Through training the neural network can learn the control rules by itself and can replace the real hysteresis comparator in power converter control.The computer simulation results are given in this paper and they can demonstrate the effectiveness of the proposed method.The neural network is realized by using DSP.
Keywords: source filter neural network hysteresis comparator
Li Zicheng,Sun Yukun
Strategic Study of CAE 2006, Volume 8, Issue 1, Pages 46-50
At present, many detecting methods for harmonic and reactive currents have been put forward. Though having their characteristics respectively, they have insurmountable problems, such as vast calculating work, bad real time performance, low measurement precision and so on. Based on the foundation of load current analysis, a new real-time detecting method for harmonic current based on iterative algorithm in active power filter is proposed, It has the characteristics of very little calculating work, nice real time performance and high measurement precision. The correctness of the method is verified by theory analysis and computer simulation research.
Keywords: active power filter harmonics current active current reactive current
Fu Jun,Xu Weipu
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 56-61
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
Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization Research Articles
Gang Chen, Jun Wang,chengang_xidian@163.com,wangjun@xidian.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7, Pages 963-1118 doi: 10.1631/FITEE.1900150
Keywords: 外辐射源雷达;距离副峰;低信噪比;失配滤波;最差性能最优
A novel multiple-outlier-robust Kalman filter Research Articles
Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 422-437 doi: 10.1631/FITEE.2000642
Keywords: Kalman filtering Multiple statistical similarity measure Multiple outliers Fixed-point iteration State estimate
Compact input-reflectionless balanced bandpass filter with flexible bandwidth using three-line coupled structure Research Article
Yahui ZHU, Jing CAI, Wei QIN, Wenwen YANG, Jianxin CHEN
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2, Pages 314-326 doi: 10.1631/FITEE.2200261
Keywords: Input-reflectionless filter Balanced bandpass filter (BPF) Differential mode (DM) Common mode (CM) Three-line coupled structure (TLCS)
A biological effectiveness study on U251 induced by fast neutrons
Yang Lei,Wang Xiao,Kong Fuquan,Sui Li,Cui Suzhen,Zheng Jieying,Ma Nanru,Zhao Kui
Strategic Study of CAE 2012, Volume 14, Issue 8, Pages 91-95
Objective: U251 cells were exposed to fast neutrons of 14 MeV energy, and dose-response relationships were derived; Methods:cell samples were exposed to fast neutrons. Radiation doses were 1 Gy, 3 Gy, 5 Gy and 7 Gy respectively. The cell survival, apoptotic rate and proliferation were tested after irradiation; Result: with the growth of the radiation dose, cell survival was declined, and apoptotic rate was promoted; the speed of the cell proliferation, which was observed 48 h after irradiation, was slowed down viously; Conclusion: compared to γ ray, fast neutrons have higher relative biological effectiveness.
Keywords: fast neutron U251 cell biological effectiveness dose respond curve
Exploiting a depth contextmodel in visual tracking with correlation filter Article
Zhao-yun CHEN, Lei LUO, Da-fei HUANG, Mei WEN, Chun-yuan ZHANG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 667-679 doi: 10.1631/FITEE.1500389
Keywords: Visual tracking Depth context model Correlation filter Region growing
Convergence analysis of distributed Kalman filtering for relative sensing networks Research
Che LIN, Rong-hao ZHENG, Gang-feng YAN, Shi-yuan LU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9, Pages 1063-1075 doi: 10.1631/FITEE.1700066
We study the distributed Kalman filtering problem in relative sensing networks with rigorous analysis. The relative sensing network is modeled by an undirected graph while nodes in this network are running homogeneous dynamical models. The sufficient and necessary condition for the observability of the whole system is given with detailed proof. By local information and measurement communication, we design a novel distributed suboptimal estimator based on the Kalman filtering technique for comparison with a centralized optimal estimator. We present sufficient conditions for its convergence with respect to the topology of the network and the numerical solutions of n linear matrix inequality (LMI) equations combining system parameters. Finally, we perform several numerical simulations to verify the effectiveness of the given algorithms.
Keywords: Relative sensing network Distributed Kalman filter Schur stable Linear matrix inequality
Study on Cumulalive Energy Effect in Directional Fracture Controlled Blasting in Rock
Luo Yong,Shen Zhaowu
Strategic Study of CAE 2006, Volume 8, Issue 6, Pages 78-82
In order to solve the problems of stone exploitation, the mechanism of crack initiation and its expansion of directional fracture controlled blasting with linear cavity effect cutter in rock were roughly studied based on the theories of cumulative energy effect, mechanics of explosive and rock fracture mechanics, then the blasting parameters were designed and tested by model test in laboratory and field. The experimental results show that the energy from blasting can be directionally concentrated by the cumulative energy jet. The directional expansion of crack is satisfactory. Model test and field test suggest that the directional fracture controlled blasting with linear cavity effect cutter is a good means in excavating tunnels or cutting rock. It points out that the prospect of this method is promising. All these will give beneficial references to related theoretical study and field application.
Keywords: cumulative energy effect directional fracture controlled blasting model test liner fracture
Title Author Date Type Operation
COPPER: a combinatorial optimization problem solver with processing-in-memory architecture
Yitong YAO, Gang DONG, Zhangming ZHU, Yintang YANG,19111110564@stu.xidian.edu.cn,gdong@xidian.edu.cn,zhangmingzhu@xidian.edu.cn,ytyang@xidian.edu.cn
Journal Article
ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond
Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO
Journal Article
Filtering antennas: from innovative concepts to industrial applications
Yun-fei CAO, Yao ZHANG, Xiu-yin ZHANG
Journal Article
Current Source Active Power Filter Control UsingNeural Network Technologies
Wang Ping,Zhang Ke, Xu Huijun
Journal Article
A New Real-time Detecting Method for Harmonic Current Based on Iterative Algorithm in Active Power Filter
Li Zicheng,Sun Yukun
Journal Article
The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation
Fu Jun,Xu Weipu
Journal Article
Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization
Gang Chen, Jun Wang,chengang_xidian@163.com,wangjun@xidian.edu.cn
Journal Article
A novel multiple-outlier-robust Kalman filter
Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn
Journal Article
Compact input-reflectionless balanced bandpass filter with flexible bandwidth using three-line coupled structure
Yahui ZHU, Jing CAI, Wei QIN, Wenwen YANG, Jianxin CHEN
Journal Article
A biological effectiveness study on U251 induced by fast neutrons
Yang Lei,Wang Xiao,Kong Fuquan,Sui Li,Cui Suzhen,Zheng Jieying,Ma Nanru,Zhao Kui
Journal Article
Exploiting a depth contextmodel in visual tracking with correlation filter
Zhao-yun CHEN, Lei LUO, Da-fei HUANG, Mei WEN, Chun-yuan ZHANG
Journal Article
Convergence analysis of distributed Kalman filtering for relative sensing networks
Che LIN, Rong-hao ZHENG, Gang-feng YAN, Shi-yuan LU
Journal Article