Enhancing state space reduction methods for model checking
Enhancing state space reduction methods for model checking
... ENHANCING STATE SPACE REDUCTION METHODS FOR MODEL CHECKING ZHANG SHAOJIE (BEng., Northeastern Univeristy (China), 2007) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF ... automatic formal verification technique for state transition systems It can be simply stated as [34]: Let M be a state transition graph and f be a formula of temporal logic The model checking probl...
reconstructed state space model for
... shown in figure STATE SPACE MAP FOR THE SPEECH RECOGNITION The State Space Map (SSM) for the Malayalam consonant CV unit is constructed as follows The normalized N samples values for each CV unit ... algorithm for Malayalam CV speech unit recognition A novel and accurate feature extraction technique using statistical models of Reconstructed State Space (RSS) has been stu...
Báo cáo hóa học: " Research Article A Learning State-Space Model for Image Retrieval" pdf
... V Lavrenko, and R Manmatha, “Automatic image annotation and retrieval using cross-media relevance models,” in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and ... photo images All images can be partitioned into over 70 000 regions with two scales of image segmentation These images contain a wide range of contents, such as landscapes, animals, plants, a...
hilbert space methods for partial differential equations - r. showalter
... problems are well-posed These include boundary value problems for (stationary) elliptic partial di erential equations and initial-boundary value problems for (time-dependent) equations of parabolic, ... gives a Hilbert space in which C0 (G) is a dense subspace 16 CHAPTER I ELEMENTS OF HILBERT SPACE Suppose V ( ) is a scalar product space and let B k k denote the completio...
báo cáo hóa học:" Research Article Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks" potx
... gene-expression data The tool has been demonstrated on artificial data and yeast cell-cycle gene-expression data Using the yeast microarray data, we have illustrated that our model can help identify regulatory ... that are intractable due to technicality or impracticality This method is adaptable to data collection that is missing some points and also to data that are not highl...
Báo cáo hóa học: " Research Article State Space Initiation for Blind Mobile Terminal Position Tracking" pot
... degrade the positioning accuracy For example, the spurious paths produce more association hypotheses and obviously results in a higher likelihood value for the incorrect hypothetical MS positions ... carried out in MATLAB For a single cycle of the algorithm, we needed ca minutes using a GHz PC CONCLUSION We presented a track-before-detect method for initialization of blind mobile...
Báo cáo hóa học: " Global Sampling for Sequential Filtering over Discrete State Space" pptx
... Figure also shows that, for this particular example, the BER performance of the GS receiver is identical to the BER performance of an MKF with Global Sampling for Sequential Filtering 2253 0.1 0.1 ... The global sampling algorithm When the instrumental distribution is the so-called optimal sampling distribution (14), it is possible to combine the sampling/ resampling step a...
SEQUENTIAL MONTE CARLO METHODS FOR PROBLEMS ON FINITE STATE SPACES
... 2.2 Markov Chain Monte Carlo Methods In this section, we will introduce another series of Monte Carlo methods: Markov chain Monte Carlo (MCMC) Recall that when the standard Monte Carlo method is ... standard Monte Carlo methods and some other classic Monte Carlo methods At the end, we will present a special type of SMC, the discrete particle filter (DPF) method 1...
Computational methods for a phase field model of grain growth kinetics
... that sharp interface formulation 2.5 Application of Phase Field Methods: A variety of material processing applications have been comfortably handled by Phase- field models The application of phase- field ... The average grain area and total time taken as function of time for operator splitting case 60 5.16 The average grain area and total time taken as function of...
SEQUENTIAL MONTE CARLO METHODS FOR PROBLEMS ON FINITE STATE SPACES
... 2.2 Markov Chain Monte Carlo Methods In this section, we will introduce another series of Monte Carlo methods: Markov chain Monte Carlo (MCMC) Recall that when the standard Monte Carlo method is ... standard Monte Carlo methods and some other classic Monte Carlo methods At the end, we will present a special type of SMC, the discrete particle filter (DPF) method...
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