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| 1 | Dense coding scheme using superpositions of Bell-states and its NMR implementation显示文摘Dense coding using superpositions of Bell-states is proposed. The generalized Grover's algorithm is used to prepare the initial entangled states, and the reverse process of the quantum algorithm is used to determine the entangled state in the decoding measurement. Compared with the previous schemes, the superpositions of two Bell-states are exploited. Our scheme is demonstrated using a nuclear magnetic resonance (NMR)quantum computer. The corresponding manipulations are obtained. Experimental results show a good agreement between theory and experiment. We also generalize the scheme to transmit eight messages by introducing an additional two-state system. | ZHANG Jingfu, XIE Jingyi, DENG Zhiwei & LU Zhiheng Key Laboratory for Quantum Information and Measurements, Department of Physics, Tsinghua University, Beijing 100084, China Center for Quantum Information, Tsinghua University, Beijing 100084, China Department of Materials Science and Engineering, Beijing Normal University, Beijing 100875, China Testing and Analytical Center, Beijing Normal University, Beijing 100875, China Department of Physics, Beijing Normal University, Beijing 100875, China | 2005 | Science China(Physics,Mechanics & Astronomy)2005，48，1： | 18 |
| 2 | Estimation of chlorophyll-a concentration in the Zhujiang Estuary from SeaWiFS data显示文摘The chlorophyll-a concentration is generally overestimated for the southem China coastal waters if the default algorithm of the SeaDAS is employed. An algorithm is developed for retrieval of chlorophyll-a concentration in the Zhujiang Estuary, Guangdong Province, China, by using simulated reflectance data. The simulated reflectance is calculated corresponding to the SeaWiFS wavelength bands, via a general model by inputting measured water components, I.e., the suspended sediment,chlorophyll-a, and yellow substance (DOC) concentration data of 130 samples. Empirical relationships of the chlorophyll-a concentration to 240 different band combinations are investigated based on the simulated reflectance data, and the band combination, R5R6/R3R4, is found to be the optimum one for the development of an algorithm valid for the Zhujiang Estuary. This algorithm is then employed to determine the chlorophyll-a concentration from SeaWiFS data. The estimated concentrations have a better accuracy than those obtained from the SeaDAS default algorithm when comnpared with sea truth data. The new algorithm is demonstrated to work well and is used to derive a series of image maps of the chlorophyll-a concentration distribution for the Zhujiang Estuary and adjacent coastal areas. | MagnusLarson Lennartjnsson | 2002 | Acta Oceanologica Sinica2002，21，1： | 10 |
| 3 | Neural Network Based on GA-BP Algorithm and its Application in the Protein Secondary Structure Prediction显示文摘The advantages and disadvantages of genetic algorithm and BP algorithm are introduced. A neural network based on GA-BP algorithm is proposed and applied in the prediction of protein secondary structure, which combines the advantages of BP and GA. The prediction and training on the neural network are made respectively based on 4 structure classifications of protein so as to get higher rate of predication---the highest prediction rate 75.65%,the average prediction rate 65.04%. | YANG Yang LI Kai-yang | 2006 | Chinese Journal of Biomedical Engineering(English Edition)2006，15，1： | 8 |
| 4 | Uniform convergence of multigrid V-cycle on adaptively refined finite element meshes for second order elliptic problems显示文摘In this paper we prove the uniform convergence of the standard multigrid V-cycle algorithm with the Gauss-Seidel relaxation performed only on the new nodes and their 'immediate' neighbors for discrete elliptic problems on the adaptively refined finite element meshes using the newest vertex bisection algorithm. The proof depends on sharp estimates on the relationship of local mesh sizes and a new stability estimate for the space decomposition based on the Scott-Zhang interpolation operator. Extensive numerical results are reported, which confirm the theoretical analysis. | WU Haijun CHEN Zhiming | 2006 | Science China Mathematics2006，49，10： | 8 |
| 5 | Archimedean copula estimation of distribution algorithm based on artificial bee colony algorithm显示文摘The artificial bee colony(ABC) algorithm is a competitive stochastic population-based optimization algorithm. However, the ABC algorithm does not use the social information and lacks the knowledge of the problem structure, which leads to insufficiency in both convergent speed and searching precision.Archimedean copula estimation of distribution algorithm(ACEDA)is a relatively simple, time-economic and multivariate correlated EDA. This paper proposes a novel hybrid algorithm based on the ABC algorithm and ACEDA called Archimedean copula estimation of distribution based on the artificial bee colony(ACABC)algorithm. The hybrid algorithm utilizes ACEDA to estimate the distribution model and then uses the information to help artificial bees to search more efficiently in the search space. Six benchmark functions are introduced to assess the performance of the ACABC algorithm on numerical function optimization. Experimental results show that the ACABC algorithm converges much faster with greater precision compared with the ABC algorithm, ACEDA and the global best(gbest)-guided ABC(GABC) algorithm in most of the experiments. | Haidong Xu Mingyan Jiang Kun Xu | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 8 |
| 6 | Parallelizing of macro-scale pseudo-particle modeling for particle-fluid systems显示文摘A parallel algorithm suitable for simulating multi-sized particle systems and multi- phase fluid systems is proposed based on macro-scale pseudo-particle modeling (MaPPM). The algorithm employs space-decomposition of the computational load among the processing ele- ments (PEs) and multi-level cell-subdivision technique for particle indexing. In this algorithm, a 2D gas-solid system is simulated with the temporal variations of drags on solids, inter-phase slip velocities and solids concentration elaborately monitored. Analysis of the results shows that the algorithm is of good parallel efficiency and scalability, demonstrating the unique advantage of MaPPM in simulating complex flows. | TANG Dexiang GE Wei WANG Xiaowei MA Jingsen GUO Li LI Jinghai | 2004 | Science China Chemistry2004，47，5： | 6 |
| 7 | An integrated decision method for prediction of tropical cyclone movement by using genetic algorithm显示文摘In this study an integrated decision method for the multi-prediction results of tropical cyclone movements by using genetic algorithm (GA) has been adopted. A genetic learning artifi- cial neural network (GLANN) as a learning mechanism for track prediction was developed through training with the huge samples of typhoon tracks from 1884 to 2002. The prediction of typhoon motion is to consider how to suit the dynamic change of environment, where typhoon passed through. The neural network structure is described by GA. A fitness function for choice of GA is given to approach the maximum of fitness (the minimum of the errors). Parallel comparing analyses for prediction abilities of unusual typhoon tracks in recent years by GLANN with multi-forecast methods were conducted. More types of cases were employed in the comparing analyses, which consist of the typhoon, Winnie, No.11, in 1997, characterized by a long life over the ocean and in the mainland with severe effect on China, the 10 unusual typhoon tracks in the 1990s, the tracks with landfall and affected action in 1998 and the typhoons born in the Northwestern Pacific and the South China Sea in 2000, including the 24—48 h forecast, etc. The results indicated that for prediction ability of typhoon tracks, specially for unusual typhoons, GA decision-making developed in this study is superior to the others. | YANG Yuanqin1 & WANG Jizhi2 1. National Meteorological Center, Beijing 100081,China 2. Chinese Academy of Meteorological Sciences, Beijing 100081, China | 2005 | Science China Earth Sciences2005，48，3： | 6 |
| 8 | Modeling of CVI process in fabrication of carbon/carbon composites by an artificial neural network显示文摘The chemical vapor infiltration(CVI) process in fabrication of carbon-carbon composites is very complex and highly inefficient, which adds considerably to the cost of fabrication and limits the application of the material. This paper tries to use a supervised artificial neural network(ANN) to model the nonlinear relationship between parameters of isothermal CVI(ICVI) processes and physical properties of C/C composites. A model for preprocessing dataset and selecting its topology is developed using the Levenberg-Marquardt training algorithm and trained with comprehensive dataset of tubal C/C components collected from experimental data and abundant simulated data obtained by the finite element method. A basic repository on the domain knowledge of CVI processes is established via sufficient data mining by the network. With the help of the repository stored in the trained network, not only the time-dependent effects of parameters in CVI processes but also their coupling effects can be analyzed and predicted. The results show that the ANN system is effective and successful for optimizing CVI processes in fabrication of C/C composites. | 李爱军 李贺军 李克智 顾正彬 | 2003 | Science China(Technological Sciences)2003，46，2： | 5 |
| 9 | Feature Extraction of Localized Scattering Centers Using the Modified TLS-Prony Algorithm and Its Applications显示文摘This paper presents an all-parametric model of radar target in optic region, in which the localized scattering center’s frequency and aspect angle dependent scattering level, distance and azimuth locations are modeled as the feature vectors. And the traditional TLS-Prony algorithm is modified to extract these feature vectors. The analysis of Cramer-Rao bound shows that the modified algorithm not only improves the restriction of high signal-to-noise ratio(SNR)threshold of traditional TLS-Prony algorithm, but also is suitable to the extraction of big damped coefficients and high-resolution estimation of near separation poles. Finally, an illustrative example is presented to verify its practicability in the applications. The experimental results show that the method developed can not only recognize two airplane-like targets with similar shape at low SNR, but also compress the original radar data with high fidelity. | Wang Jun Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, P.R.China | 2002 | Journal of Systems Engineering and Electronics2002，13，3： | 5 |
| 10 | A Quantum Chemistry Study of Inhibition Properties of Imidazole and Its Derivatives on Iron Surface Corrosion显示文摘The geometries of imidazole and its derivatives were respectively optimized by using ab initio method, and the molecular orbital energy levels and the charge densities were obtained for their optimum geometries. The frontier orbital energy levels, and the net charges of N (1) atom and the imidazole ring of those molecules were obtained with ab initio and SCC-DV-Xα methods. It was found that the inhibition properties of those compounds change with the highest occupied molecular orbital energy levels, and the net charges of N(1) atom. We took four iron atoms on the crystal plane (100) of α-iron as the surface which was used to study the adsorption towards the inhibitors. The adsorption models of the inhibitor to be adsorbed on the Fe-cluster surface were optimized with SCC-DV-Xα method. It turns out that the most favorable model is that the inhibitor molecule is adsorbed on the Fe-cluster surface in an inclined state. The calculation shows that the stabilization energies of the systems are well correlated with the inhibition efficien cies. | YAN Xiao-ci, XIA Wen-bing, LIU Jie, OU YANG-li, LUO Ming-dao~(**) and YANG Feng (Department of Chemistry, Wuhan University, Wuhan 430072, P. R. China) MIN Xin-min (National Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China) To whom correspondence should be addressed. | 2001 | Chemical Research in Chinese Universities2001，17，3： | 4 |
| 11 | 基于遗传-BP神经网络的航空发动机气路故障诊断研究(英文)显示文摘为提高BP神经网络诊断发动机气路故障的准确率,利用遗传算法对BP神经网络的初始连接权值和阀值在解空间内进化寻优,再将优化结果赋给网络以梯度下降算法进行二次训练,再对待检故障样本进行诊断。结果表明:GA-BP网络在输出精度、收敛速度及收敛曲线平滑性上明显优于普通BP网络,为航空发动机故障诊断领域的研究提出了新的思路和方法,具有一定研究价值。 | 瞿红春 黄远强 | 2015 | 机床与液压2015，43，18： | 4 |
| 12 | Multi-objective optimization design of airfoil and wing显示文摘To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective. | ZHU Ziqiang FU Hongyan YU Rixin LIU Jie | 2004 | Science China(Technological Sciences)2004，47，1： | 4 |
| 13 | Bayesian networks precipitation model based on hidden Markov analysis and its application显示文摘Surface precipitation estimation is very important in hydrologic forecast. To account for the influence of the neighbors on the precipitation of an arbitrary grid in the network, Bayesian networks and Markov random field were adopted to estimate surface precipitation. Spherical coordinates and the expectation-maximization (EM) algorithm were used for region interpolation, and for estimation of the precipitation of arbitrary point in the region. Surface precipitation estimation of seven precipitation stations in Qinghai Lake region was performed. By comparing with other surface precipitation methods such as Thiessen polygon method, distance weighted mean method and arithmetic mean method, it is shown that the proposed method can judge the relationship of precipitation among different points in the area under complicated circumstances and the simulation results are more accurate and rational. | WANG HongRui1, YE LeTian2, XU XinYi1, FENG QiLei3, JIANG Yan1, LIU Qiong1 & TANG Qi1 1 College of Water Sciences, Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China 2 School of Mathematical Sciences, Peking University, Beijing 100871, China 3 School of Science, Beijing Institute of Education, Beijing 100011, China | 2010 | Science China(Technological Sciences)2010，53，2： | 4 |
| 14 | A new trust region algorithm for image restoration显示文摘The image restoration problems play an important role in remote sensing and astronomical image analysis. One common method for the recovery of a true image from corrupted or blurred image is the least squares error (LSE) method. But the LSE method is unstable in practical applications. A popular way to overcome instability is the Tikhonov regularization. However, difficulties will encounter when adjusting the so-called regularization parameter α. Moreover, how to truncate the iteration at appropriate steps is also challenging. In this paper we use the trust region method to deal with the image restoration problem, meanwhile, the trust region subproblem is solved by the truncated Lanczos method and the preconditioned truncated Lanczos method. We also develop a fast algorithm for evaluating the Kronecker matrix-vector product when the matrix is banded. The trust region method is very stable and robust, and it has the nice property of updating the trust region automatically. This releases us from tedious finding the regularization parameters and truncation levels. Some numerical tests on remotely sensed images are given to show that the trust region method is promising. | WEN Zaiwen & WANG Yanfei State Key Laboratory of Scientific Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing 100080, China National Key Laboratory on Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China | 2005 | Science China Mathematics2005，48，2： | 3 |
| 15 | Remote sensing data classification using tolerant rough set and neural networks显示文摘BP algorithm of neural net is used more in remote sensing data classification. One of drawbacks of BP algorithm is the overall low function when the net is training. To avoid this kind of problem, the paper introduces the tolerant rough set for classification-preprocessing the training data to reduce the influence elements of the training convergence in order to improve the net training successful rate. ETM+ data of Beijing in May 2003 is selected in the study. ETM+ data before and after classification preprocessing, respectively, are used for BP (Back propaga-tion) training. The result shows that such a preprocessing not only compensates the drawback of BP algorithm when processing ETM+ data but also improves classification accuracy. | MA Jianwen HASI Bagan | 2005 | Science China Earth Sciences2005，48，12： | 3 |
| 16 | Optimization of HMM Parameters Based on Chaos and Genetic Algorithm for Hand Gesture Recognition显示文摘In order to prevent standard genetic algorithm (SGA) from being premature, chaos is introduced into GA,thus forming chaotic anneal genetic algorithm (CAGA). Chaos' ergodicity is used to initialize the population, and chaoticanneal mutation operator is used as the substitute for the mutation operator in SGA. CAGA is a unified framework of theexisting chaotic mutation methods. To validate the proposed algorithm, three algorithms, i.e. Baum-Welch, SGA andCAGA, are compared on training hidden Markov model (HMM) to recognize the hand gestures. Experiments on twenty-six alphabetical gestures show the CAGA's validity. | Liu Jianghua , Cheng Junshi & Chen Jiapin Information Storage and Research Center, Shanghai Jiaotong University, Shanghai 200030, P. R. China | 2002 | Journal of Systems Engineering and Electronics2002，13，4： | 3 |
| 17 | Global Convergence Analysis of Non-Crossover Genetic Algorithm and Its Application to Optimization显示文摘Selection, crossover, and mutation are three main operators of the canonical genetic algorithm (CGA). This paper presents a new approach to the genetic algorithm. This new approach applies only to mutation and selection operators. The paper proves that the search process of the non-crossover genetic algorithm (NCGA) is an ergodic homogeneous Markov chain. The proof of its convergence to global optimum is presented. Some nonlinear multi-modal optimization problems are applied to test the efficacy of the NCGA. NP-hard traveling salesman problem (TSP) is cited here as the benchmark problem to test the efficiency of the algorithm. The simulation result shows that NCGA achieves much faster convergence speed than CGA in terms of CPU time. The convergence speed per epoch of NCGA is also faster than that of CGA. | Dai Xiaoming, Sun Rang, Zou Runmin2, Xu Chao & Shao Huihe(. Dept. of Auto., School of Electric and Information, Shanghai Jiaotong University, Shanghai 200030, P. R. China College of Information Science and Enginereing, Central South University, Changsha | 2002 | Journal of Systems Engineering and Electronics2002，13，2： | 3 |
| 18 | Application of Genetic Algorithms in Identification ofLinear Time-Varying System显示文摘By applying genetic algorithms (GA) to on-line identification of linear time-varying systems; a number of modifications are made to the Simple Genetic Algorithm to improve the performance of the algorithm in identification applications. The simulation results indicate that the method is not only capable of following the changing parameters of the system, but also has improved the identification accuracy compared with that using the least square method. | Zhichun Mu KeLiu Zichao Wang Datai Yu D. Koshal D. Pearce Information Engineering School, University of Science & Technology Beijing, Beijing 100083, China School of Engineering, University of Brighton, Brighton, UK | 2000 | International Journal of Minerals,Metallurgy and Materials2000，14，1： | 3 |
| 19 | 电动助力转向系统的控制策略研究与仿真(英文)显示文摘After introducing the mechanical structure and working principle of electric power steering (EPS), theEPS dynamic model and the state space equation are established. Based on this model, a PID genetic algorithmcontrol strategy for EPS is put forward, i.e. , use the powerful search ability of genetic algorithm to optimize theparameters of the PID controller, the PID controller can achieve a better control effect. By using Matlab/Simulinksimulation and analysis, the simulation results show that the control strategy makes EPS fast response and stableoutput, the performance has been effectively improved. Therefore, it has laid the theoretical foundation to developproducts. | Jian-wei ZHANG Shi-jie XIN Bao-jun QU | 2016 | 机床与液压2016，44，6： | 2 |
| 20 | Totally Coded Method for Signal Flow Graph Algorithm显示文摘After a code-table has been established by means of node association information from signal flow graph, the totally coded method (TCM) is applied merely in the domain of code operation beyond any figure-earching algorithm. The code-series (CS) have the holo-information nature, so that both the content and the sign of each gain-term can be determined via the coded method. The principle of this method is simple and it is suited for computer programming. The capability of the computer-aided analysis for switched current network (SIN) can be enhanced. | 徐静波 周美华 | 2002 | Journal of Donghua University(English Edition)2002，19，2： | 2 |
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