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Shen Yindong,

现代图书情报技术 , 1994,
Abstract: 本文较详细地阐述了各类光盘技术的内容和特性, 对其在我国的应用作了全面的总结, 并指出了其中存在的问题和困难。同时在分析了这些问题存在的原因的基础上, 提出了作者对解决这些问题的建议。
A Stochastic Combinatorial Optimization Model for Test Sequence Optimization
Shuai Wang,Yindong Ji,Shiyuan Yang
Journal of Computers , 2010, DOI: 10.4304/jcp.5.9.1424-1435
Abstract: Traditional FSM (finite state machine) based test sequence generation methods have three problems: 1) fake test results may occur; 2) unnecessary repetitive tests may exist; 3) actual test coverage rate could be low. These problems are mainly because of the dependences existing between transitions of test sequences. In this paper, to solve these problems, we defined a stochastic combinatorial optimization model to describe the test sequence generation problem from the dynamic viewpoint. Meanwhile, a recursive algorithm is proposed to give one optimal solution for the test sequence generation. This algorithm uses the weighted finite state machine model for the software being tested. At each test decision time, a test sequence will be generated from this model. After the execution of one test sequence and fault detecting, the weight value of this model will be updated. Simulation results show that the effective test efficiency and test coverage rate are evidently increased using our method. Especially, the fake test results are much less than transitional methods.
A Micro-Kernel Test Engine for Automatic Test System
Shuai Wang,Yindong Ji,Shiyuan Yang
Journal of Computers , 2011, DOI: 10.4304/jcp.6.1.3-10
Abstract: In traditional automatic test solutions, a test engine usually encompasses all functions in its kernel, including compiling test program, generating test event chain, scheduling test process and executing test events. This makes the engine tightly coupled with test language and the system under test, so that it is difficult to maintain, optimize and extend the test engine. In order to solve these problems, a micro-kernel test engine is designed and implemented based on the service oriented architecture. This micro-kernel approach decouples function modules to make the test engine kernel independent of the system under test and the test language. This also makes the test engine more modularized, so that the debugging process and maintenance work of the engine can be much easier. With new compiling component and test adapters, the engine kernel can be extended for new test methods or reused in new test applications. The application example and extensibility analysis discussed in section 6 show the feasibility of this micro-kernel test engine.
Test Sequence Generation for Distributed Software System
Shuai Wang,Yindong Ji,Shiyuan Yang
Journal of Software , 2011, DOI: 10.4304/jsw.6.2.175-183
Abstract: This paper considers the test case generation for distributed software (a test case contains one or more test sequences). Applying the single
A Meta-model Based Modeling Method for Geographic Information Model in CTCS Hardware-in-the-loop Simulation System
Linyan Tu,Wei Dong,Yindong Ji,Xinya Sun
Journal of Computers , 2008, DOI: 10.4304/jcp.3.12.19-26
Abstract: According to the requirement of hardware-in-the-loop simulation system for CTCS Level 3 (Chinese Train Control System Level 3), a meta-model based modeling method for railway geographic information is proposed in this paper. The modeling principle, modeling scheme and key technologies of this method are deeply explained and different modeling schemes are compared in detail. Using this modeling method, the railway geographic information can be expressed more concisely and completely, and the model can be extended and reconstructed more easily. The proposed model is now successfully used to provide effective support for the running of the train dynamic model.
A Translation Framework for Executing the Sequential Binary Code on CPU/GPU Based Architectures
Erzhou Zhu,Haibing Guan,Guoxing Dong,Yindong Yang
Journal of Software , 2011, DOI: 10.4304/jsw.6.12.2331-2340
Abstract: The method of using DBT (dynamic binary translation) to execute the source ISAs binary code on target platforms has been perplexed by low overhead for many years. GPU as a many-core processor has tremendous computational power. Employing GPU as a coprocessor to parallel execute the hot spot of binary code hold a great promise of substantially reduce the overhead of DBT. This paper presents a novel translation framework for constructing the virtual execution environment aiming at accelerating the process of DBT on CPU/GPU based architectures. With parallelizable parts (hot spots) of binary code and their related information, the framework converts the sequential code into PTX form and executes them on GPUs. Under the framework, we need not to rewrite the source code, and the binary compatibility issues between different GPUs are also resolved properly. Experimental results on several programs from CUDA SDK Code Samples and Parboil Benchmark Suite show that the framework can significantly improve the performance, usually have 10X speedup on average compared to X86 native platforms. Especially, when the scale of input become larger, the performance becomes even better.
Spectral Clustering on Subspace for Parameter Estimation of Jump Linear Models
Liang Li,Wei Dong,Yindong Ji,Lang Tong
Statistics , 2013,
Abstract: The problem of estimating parameters of a deterministic jump or piecewise linear model is considered. A subspace technique referred to as spectral clustering on subspace (SCS) algorithm is proposed to estimate a set of linear model parameters, the model input, and the set of switching epochs. The SCS algorithm exploits a block diagonal structure of the system input subspace, which partitions the observation space into separate subspaces, each corresponding to one and only one linear submodel. A spectral clustering technique is used to label the noisy observations for each submodel, which generates estimates of switching time epoches. A total least squares technique is used to estimate model parameters and the model input. It is shown that, in the absence of observation noise, the SCS algorithm provides exact parameter identification. At high signal to noise ratios, SCS attains a clairvoyant Cram\'{e}r-Rao bound computed by assuming the labeling of observation samples is perfect.
A Subspace Technique for The Identification of Switched Affine Models
Liang Li,Wei Dong,Yindong Ji,Lang Tong
Statistics , 2013,
Abstract: The problem of estimating parameters of switched affine systems with noisy input-output observations is considered. The switched affine models is transformed into a switched linear one by removing its intersection subspace, which is estimated from observations. A subspace technique is proposed to exploit the observations' permutation structure, which transforms the problem of associating observations with subsystems into one of de-permutating a block diagonal matrix, referred as adjacency matrix. Then a normalized spectral clustering algorithm is presented to recover the block structure of adjacency matrix, from which each observation is related to a particular subsystem. With the labelled observations, parameters of the submodel are estimated via the total least squares (TLS) estimator. The proposed technique is applicable to switched affine systems with arbitrarily shaped domain partitions, and it offers significantly improved performance and lowered computation complexity than existing techniques.
Remote sensing of algal blooms using a turbidity-free function for near-infrared and red signals
Yan Li,Shaoling Shang,Caiyun Zhang,Xiaoxin Ma,Liwei Huang,Jingyu Wu,Yindong Zeng
Chinese Science Bulletin , 2006, DOI: 10.1007/s11434-006-0464-2
Abstract: This article presents a method for real-time mapping of algal blooms in turbid coastal waters using the remote sensing reflectance of red band (Channel 1, 580–680 nm) and near-infrared band (Channel 2, 720–1100 nm) of the AVHRR sensor on the NOAA series satellites. A turbidity-free function for near-infrared and red signals, α 0 = (b b (1)/b b (2))(a (2)/a (1)) based on the first order b b/(a+b b) model deducing equation R rs (2)-1 = α 0 R rs (1)-1+g 1 (1-α 0), were selected as a chlorophyll-a related index for detecting algal blooms, and the algal blooms with chlorophyll-a concentration of 64–256 mg/L could be defined by window of 1.6 < α 0 < 5.2 and 0.01< R rs (2)/g < 0.2. Such turbidity-free two-band method is supported by both sea-truth data and remote sensing experiment for an algal blooms event on the near-shore water off the Minjiang estuary of southeastern China during early June of 2003. Comparisons of this algorithm with other published algorithms, one-band method (i.e. method of bright water) or two-band methods (i.e. method of ratio, method of NDVI, and method of subtracting) have suggested that the turbidity-free function method could be regarded as a standard algorithm in capabilities of AVHRR imagery or other high resolution but wide near-infrared and red band imagery for detecting algal blooms events in coastal waters.
Theoretical study of terahertz generation from atoms and aligned molecules driven by two-color laser fields
Wenbo Chen,Yindong Huang,Chao Meng,Jinlei Liu,Zhaoyan Zhou,Dongwen Zhang,Jianmin Yuan,Zengxiu Zhao
Physics , 2015, DOI: 10.1103/PhysRevA.92.033410
Abstract: We study the generation of terahertz radiation from atoms and molecules driven by an ultrashort fundamental laser and its second harmonic field by solving time-dependent Schr\"odinger equation (TDSE). The comparisons between one-, two-, and three- dimensional TDSE numerical simulations show that initial ionized wave-packet and its subsequent acceleration in the laser field and rescattering with long-range Coulomb potential play key roles. We also present the dependence of the optimum phase delay and yield of terahertz radiation on the laser intensity, wavelength, duration, and the ratio of two-color laser components. Terahertz wave generation from model hydrogen molecules are further investigated by comparing with high harmonic emission. It is found that the terahertz yield is following the alignment dependence of ionization rate, while the optimal two-color phase delays varies by a small amount when the alignment angle changes from 0 to 90 degrees, which reflects alignment dependence of attosecond electron dynamics. Finally we show that terahertz emission might be used to clarify the origin of interference in high harmonic generation from aligned molecules by coincidently measuring the angle-resolved THz yields.
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