... corresponding to the multi-channel neural spikes of a monkey to the 3D positions of its arm positions The predicted position of the hand of the monkey is used to control a robot arm A brain- actuated ... EMG -based teleoperation of a robot arm in planar catching movements using ARMAX model and trajectory monitoring techniques Proceedings 2006 IEEE International Conference on Robotics and Automation ... a BCI one is responsible for acquiring the signal and for conditioning it (by filtering and amplifying it) Following, the analog signal just acquired is converted to a digital one (A/D converter),...
... ANFIS model design consists of two sections: constructing and training In the construction section, the number and type of MFs are defined Construction of the ANFIS model requires the division of ... establishing the boundary conditions and accurately obtaining the characteristics of heat transfer The second approach uses empirical modelling, which is basedon correlation between the measured ... error compensation models Grey model GM (0, N) The interaction between different temperature sources and sinks creates a complex non-linear thermal behaviour for a machine tool The model designers...
... which one is AF signal by judging whether the signal has a peak in 3–10 Hz As a contrast, the BSE -based frame shown in Figure [24] only extracts one signal, thus it has lower computational load ... smooth the transitions between different intervals, we employed cubic spline interpolation Furthermore, clinical experience shows that V1 lead contains the largest AA contribution among the 12-lead ... spectral concentration values in the band of peak indicate high quality in AA estimation SC is defined as × 100%, Figure 4: (a) The extracted AA signal from patient one; (b) The corresponding PSD along...
... sinusoidal modelingbased channel prediction methods depends heavily on the stationarity properties of model parameters in the observation window and the prediction horizon In this section, the stationarity ... prediction error is normalized by the mean power of y, instead of h as given in (61) 6.2 Model selection basedon SVD In this study, an ad hoc singular-value-decomposition(SVD-) basedmodel selection ... the model selection basedon SVD for urban and suburban environments, respectively; (vii) other settings are the same as in Section 6.3 10 2 ANMSE 25 35 LMMSE, known ω Conditional LMMSE Unconditional...
... stationary increments The time-to-response is assumed to follow a general distribution which can depend on both the treatment allocation and the response observed The central limit theorem on Yn ... polychotomous responses, continuous outcomes are also very common, such as blood pressure Rosenberger (1993) developed a biased coin randomization scheme for continuous outcomes basedon a linear rank ... Therefore, the conditional expectation of the adding rule E(Dn |Fn−1 ) depends on the past outcomes However, the outcomes are random and they may not converge and the conditional generating matrices...
... conventional features as in (Zhang et al., 2008) in our current implementation 2.2 The SSG -based Translation Model The translation in our SSG -based translation model can be treated as a SSG derivation ... proposed model can be considered as a novel method going beyond the conventional post-decoding style combination methods The baseline Minimum Bayes Risk combination of LSTSSG basedmodel and FSCFG based ... derivation consists of a sequence of grammar rule applications To model the derivations as a latent variable, we define the conditional probability distribution over the target translation e and...
... Figure also shows six additional conditions on six transitions marked as an orange point on the respective transition arrows The reason why we introduce these conditions here is that the tuple ... the conditioned transition is done In practice, these additional conditions are implemented as replica states with identical transitions as the state being replicated except for the transition ... classification step for an autonomous system, we not consider this problem in this paper We assume that, after an initialization time, the background model only contains static objects which belong to...
... number of models in the literature that could be useful in many situations: Ogata and Banks’ (1961) modelon one-dimensional longitudinal transport is such a model A one-dimensional solution for ... description of mass conservation In the derivation of advection–dispersion equation, also known as continuum transport model, (see Rashidi et al (1999)), one takes the velocity fluctuations around ... dispersion coefficient, which is subjected to scale effects and basedon Fickian assumptions that were discussed in section 1.2 The model drives the mass conservation for solute transport based on...
... number of models in the literature that could be useful in many situations: Ogata and Banks’ (1961) modelon one-dimensional longitudinal transport is such a model A one-dimensional solution for ... description of mass conservation In the derivation of advection–dispersion equation, also known as continuum transport model, (see Rashidi et al (1999)), one takes the velocity fluctuations around ... dispersion coefficient, which is subjected to scale effects and basedon Fickian assumptions that were discussed in section 1.2 The model drives the mass conservation for solute transport based on...
... simplification of the model, while keeping the model performance stable Model corroboration The only available option for the technical model validation was corroborating the model, since the model ... validation of the computationalmodel Particle Profiler Since no direct measurements can be done for this validation, we investigated whether the model could be corroborated and whether model- derived ... profiles contain more information that is discarded when only reporting LDL particles A computationalmodel that can characterize the state of metabolic processes affecting lipoproteins, basedon the...
... Information Criterion 4.1 Empirical likelihood based deviance information criterion 4.1.1 Deviance information criterion 4.1.2 Empirical likelihood based deviance information criterion ... selection sequence basedon ELDIC and DIC 4.4 Comparison of ELDIC (1) , ELDIC (2) , DIC (1) and DIC (2) basedon % time the model selected (1) is the true model (TM); (2) contains the true model ... for model selection is basedon the posterior predictive distribution (Geisser and Eddy, 1979) Basedon this distribution, many criteria and statistics were proposed for Bayesian model selection...
... Metrology and Machine Performance XI A particle swarm optimisation -based Grey prediction model for thermal error compensation on CNC machine tools Ali M Abdulshahed, Andrew P Longstaff, Simon Fletcher ... error of machine tool Contrary to the numerical models, they are not basedon explicit physical equation definitions but on experimental database which is capable of reflecting the relationship between ... GM(1, N) model, Tien [11] proposed a GMC(1, N) model, which is an improved Grey prediction model The modelling values by GM(1, N) are corrected by including a convolution integral Traditionally,...
... [mg m -3 ] One example that shows the Water effectiveness of such lake model for the D:non-predatory Death P:Predation E&D Pikeperch E:Excretion R:Resuspens ion prediction of the long-term effect ... El:Elution S:Sedimentation M:Mineralization U:Uptake biomanipulation is the application for the P Keszthely Basin, Lake Balaton (Hungary) ZooAlgae Bream Figures and shows the model structure plankton ... ecological model is one of the most powerful tools to predict the long-term effects of biomanipulation Studies have tried to predict the effects of biomanipulation on the basis of lake ecological model...
... enclosure condition (5.7) is essential in verified integration with preconditioned Taylor models (see discussion below) The factorization into a left and a right Taylor model is not unique Two preconditioned ... propagation will be the subject of future research Preconditioned Quadratic Example We now demonstrate QR preconditioned Taylor model integration for the quadratic model problem of Section 4.1, ... contained in the composition of the left and right Taylor models For continuing the integration, we want to drop the right Taylor modelOn one hand, this is only feasible if the left Taylor model...
... Taylor Model Method Shrink Wrapping Integration with Preconditioned Taylor Models Integration with Preconditioned Taylor Models Preconditioned integration: flow at tj : Uj = Ul,j ◦ Ur ,j = (pl,j ... Integration of Linear ODEs Quadratic Model Problem Naive Taylor Model Method Shrink Wrapping Integration with Preconditioned Taylor Models Naive Taylor Model Method: Second Integration Step Find ... Quadratic Model Problem Naive Taylor Model Method Shrink Wrapping Integration with Preconditioned Taylor Models Shrink Wrapping U V TMW 2006, Boca Raton M Neher (white) vs Usw Vsw On Taylor Model Based...
... 4773 Modeling of tRNA-assisted mechanism on ArgRS M Konno et al configuration for the aminoacylation reaction without a conformational rearrangement, but should be in a much more preferable configuration ... tRNAArgCCU to the N-terminal domain contributes to the activation effect of tRNA on tRNAassisted Arg-AMP formation reaction or the aminoacylation reaction, we constructed P horikoshii ArgRS (residues ... also containing the ATP analog adenosine-5¢-(b,c-imido)triphosphate (ANP); we found one reasonable mechanism, basedon newly obtained structural information about the position of ATP bound on ArgRS...
... interpolation in training models besides the transformation in the generation order of the observation model Conclusion and Future Work This paper has presented a pronoun anaphora resolution system based ... this novel FHMM -based pronoun resolution system Model Description This work is basedon a graphical model framework called Factorial Hidden Markov Models (FHMMs) Unlike the more commonly known Hidden ... joint model of coreference resolution and parsing Observation Model The observation model that generates an observed state is defined as Equation To expand that equation in detail, the observation...
... to produce a normalized conditional probability distribution Additional constraints on the previous For all previous smoothing methods other than KN, we refer the reader only to the excellent comparative ... the best approach when language models basedon ordinary counts are desired Evaluation and Conclusions We trained and measured the perplexity of 4gram language models using English data from the ... interpolation parameters to the same double duty that other models force the discount parameters to Jelinek-Mercer smoothing is an exception to this generalization, but since it has only interpolation...
... increases protection Breastfeeding gives additional protection Hormonal contraceptives are conducive to breast cancer Hormone replacement therapy (HRT) is also conducive to breast cancer Modeling for ... Breastfeeding is strongly linked to fertility Likewise lower fertility is associated with more use of hormonal contraceptives Abortion can lead to prescription of hormonal contraceptives, and ... Carroll, M.A., is Director of Research, Pension and Population Research Institute (PAPRI), 35 Canonbury Road, London N1 2DG, UK Contact: papriresearch@btconnect.com Acknowledgements: Particular thanks...
... construction phase Conclusions and Future Work In this paper, we have presented IRIS (Informal Response Interactive System), a chat-oriented dialogue system that is basedon the vector space model ... the 5th Conference on Applied NLP, pp 25-32 Xue X, Jeon J, Croft W (2008) Retrieval models for question and answer archives In Proc of the 31st Annual International ACM SIGIR Conference on R&D ... implementation 2.1 Architecture As already mentioned, IRIS architecture is heavily basedon a vector space model framework, which includes a standard similarity search module from vector -based information...