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The OEM-FTS relationship in automotive industry

Giuseppe Volpato
2004 International Journal of Automotive Technology and Management  
This specific type of suppliers, occupying the higher place in a multilevel hierarchy, are labelled First Tier Suppliers (FTSs).  ...  evolution of the relationship between automakers (Original Equipment Manufacturers -OEMs) and the specific type of suppliers who directly interact with them, also carrying out the task of coordinating a  ...  (albeit over a not too close time frame) to replace decisional models for local optimisation with decisional models for global optimisation.  ... 
doi:10.1504/ijatm.2004.005325 fatcat:e325tokqojdjjespmeldot6jfu

Minimum Kullback–Leibler Divergence Parameter Generation for HMM-Based Speech Synthesis

Zhen-Hua Ling, Li-Rong Dai
2012 IEEE Transactions on Audio, Speech, and Language Processing  
This paper presents a parameter generation method for hidden Markov model (HMM)-based statistical parametric speech synthesis that uses a similarity measure for probability distributions.  ...  Index Terms-Hidden Markov model (HMM), Kullback-Leibler (KL) divergence, parameter generation, speech synthesis.  ...  Wei of iFLYTEK Research for useful discussions on the parameter generation methods and Dr. K.  ... 
doi:10.1109/tasl.2011.2182511 fatcat:tkdxiq2iv5cxbbffxhpolbf4jm

Parameter generation algorithm considering Modulation Spectrum for HMM-based speech synthesis

Shinnosuke Takamichi, Tomoki Toda, Alan W. Black, Satoshi Nakamura
2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper proposes a novel parameter generation algorithm for high-quality speech generation in Hidden Markov Model (HMM)based speech synthesis.  ...  Global Variance (GV) is known as a feature well correlated with the over-smoothing effect and a metric on the GV of the generated parameters is effectively used as a penalty term in the conventional parameter  ...  INTRODUCTION Statistical parametric speech synthesis based on Hidden Markov Models (HMMs) [1] is an effective framework for generating diverse types of synthetic speech.  ... 
doi:10.1109/icassp.2015.7178764 dblp:conf/icassp/TakamichiTBN15 fatcat:up7kn7aqbvhbvjr5swrnawapxy

Joint modelling of voicing label and continuous F0 for HMM based speech synthesis

K. Yu, S. Young
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Fundamental frequency, or F0 is critical for high quality speech synthesis in HMM based speech synthesis.  ...  Multi-space distribution HMM (MSDHMM) has been used for modelling the discontinuous F0.  ...  INTRODUCTION In HMM based speech synthesis, the modelling of Fundamental frequency (F0) is difficult due to the discontinuity of F0 values.  ... 
doi:10.1109/icassp.2011.5947372 dblp:conf/icassp/YuY11 fatcat:z2gpiwravjdbdivhdsvtqaol6q

Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis [chapter]

Tomoki Toda
2011 Hidden Markov Models, Theory and Applications  
This chapter presents an overview of the techniques for modeling a speech parameter sequence considering the GV for HMM-based speech synthesis.  ...  Basic framework of HMM-based speech synthesis Speech parameter sequence modeling Let us assume a D-dimensional static feature vector of a speech parameter c t = [c t (1) , c t (2), ···, c t (d), ···,  ...  Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis, Hidden Markov Models, Theory and Applications, Dr.  ... 
doi:10.5772/14009 fatcat:pbemhbp2mndvzmvxsn26hstuhy

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition [article]

Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess
2021 arXiv   pre-print
Leveraging the shared structure that exists across different scenes, our model learns to infer two sets of latent representations from RGB video input alone: a set of "object" latents, corresponding to  ...  Moreover, it allows us to disentangle object dynamics and summarize their trajectories as time-abstracted, view-invariant, per-object properties.  ...  For static ARI-F, we evaluate the models per still image. For video ARI-F, we evaluate the models across space and time, taking an object’s full trajectory as a single class.  ... 
arXiv:2106.03849v2 fatcat:vtgeigfcrbgj5jnwka2e2djgxe

Nonlinear response of dense colloidal suspensions under oscillatory shear: Mode-coupling theory and Fourier transform rheology experiments

J. M. Brader, M. Siebenbürger, M. Ballauff, K. Reinheimer, M. Wilhelm, S. J. Frey, F. Weysser, M. Fuchs
2010 Physical Review E  
For finite strain amplitudes the theory generates a nonlinear response, characterized by significant higher harmonic contributions.  ...  A consistent set of parameters in the presented schematic model achieves to jointly describe linear moduli, nonlinear flow curves and large amplitude oscillatory spectroscopy.  ...  of any model based on the original schematic F 12 model ͓25,39,40͔.  ... 
doi:10.1103/physreve.82.061401 pmid:21230671 fatcat:pl5qkkg3fvepbizggpizhuuq2i

Multidisciplinary Conceptual Design Optimization of Space Transportation Systems

Lawrence F. Rowell, Robert D. Braun, John R. Olds, Resit Unal
1999 Journal of Aircraft  
Research” has been conducted on a practical strategy for optimization that may allow the best features of the previous approaches to synergistically coexist.  ...  Modeling Needs Physics-based engineering models, such as those used for aerodynamics, structures, and trajectory analysis, have been employed and validated over decades and can provide a level of fidelity  ... 
doi:10.2514/2.2428 fatcat:ofndy4boi5h3xbfieatxndgl7a

Sensitivity of Trajectory Prediction in Air Traffic Management

Michael R. Jackson, Yiyuan J. Zhao, Rhonda A. Slattery
1999 Journal of Guidance Control and Dynamics  
Trajectory synthesis first computes nominal flight tra- jectories for all aircraft within a region.*~ '° Based on estimated times of arrival and the range of achievable times derived from these com- puted  ...  Based on the preceding dis- cussions, actual trajectories for a single trajectory segment are con- tained in Eqs. (20-23).  ... 
doi:10.2514/2.4398 fatcat:g42wba3hlrdbpn5qp7qx5riqrq

A Singular Spectrum Analysis-based Synthetic Dataset Generation Method for Remaining Useful Life Estimation of Turbo Fan Engines

Peerapol Yuvapoositanon, Mahanakorn University of Technology, Prakit Intachai, Phetchaburi Rajabhat University
2021 International Journal of Intelligent Engineering and Systems  
In this paper, we propose a novel method of generating synthetic datasets by means of singular spectrum analysis (SSA) with the optimal window length for substituting the actual datasets that are needed  ...  The results were also compared with those of the actual feature dataset which provided the MAE of 23.828 and RMSE of 35.284.  ...  System models for synthetic datasets In this section, we describe how a dataset whose characteristics descended from a prototype can be ( ) ( ) a x t Analysis and Synthesis ( ) ( ) a k t  ( ) ( ) a x  ... 
doi:10.22266/ijies2021.0831.32 fatcat:2cxgtbcfobcr3ez35k2fmfmawm

Design of a Two-DOFs Driving Mechanism for a Motion-Assisted Finger Exoskeleton

Giuseppe Carbone, Eike Christian Gerding, Burkard Corves, Daniele Cafolla, Matteo Russo, Marco Ceccarelli
2020 Applied Sciences  
Then, a graphic/geometric synthesis procedure is implemented for achieving the dimensional synthesis of the proposed novel 2 degrees of freedom linkage mechanism for the finger exoskeleton.  ...  A prototype is designed based on the proposed design by using additive manufacturing.  ...  Acknowledgments: The second author gratefully acknowledges the Erasmus+ program for a period of study he spent at LARM under the supervision of Prof. Marco Ceccarelli and Prof. Giuseppe Carbone.  ... 
doi:10.3390/app10072619 fatcat:zskmhnx3tvd33i4epsq3lugmd4

Improved prosody generation by maximizing joint likelihood of state and longer units

Yao Qian, Zhizheng Wu, Frank K. Soong
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
The blandness of synthesized prosody is partially due to the fact that a state-based HMM is rather inadequate in modeling a global, hierarchical prosodic structure at a sentence or phrase level.  ...  The resultant models are then integrated with the state-level baseline models to generate an optimal prosody by maximizing the joint likelihood of all, from state to longer, units.  ...  F0 trajectory is generated with dynamic feature constraint. For a given HMM model λ, it determines a sequence of F0, F = f0, ..., fT −1, which maximizes log P (O|λ) with respect to O = W F .  ... 
doi:10.1109/icassp.2009.4960450 dblp:conf/icassp/QianWS09 fatcat:55qcovvy3vembfzzcl2vto6knq

Multiplicity and sensitivity analysis of Fischer–Tropsch bubble column slurry reactors: plug-flow gas and well-mixed slurry model

Hyun-Seob Song, Doraiswami Ramkrishna, Sinh Trinh, Rafael L. Espinoza, Harold Wright
2003 Chemical Engineering Science  
Reactor model Only the main FT synthesis (i.e., the production of heavy hydrocarbons) is considered since the water gas shift reaction is inactive for cobalt-based catalysts being dealt with here.  ...  be regarded as the most practically important parameters for analyzing industrial FT reactors.  ... 
doi:10.1016/s0009-2509(03)00125-8 fatcat:7y72d5bfzjb2lcjdw45klbo3cm

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory [article]

Chun-Kit Yeung
2019 arXiv   pre-print
Deep learning based knowledge tracing model has been shown to outperform traditional knowledge tracing model without the need for human-engineered features, yet its parameters and representations have  ...  In this paper, we propose Deep-IRT which is a synthesis of the item response theory (IRT) model and a knowledge tracing model that is based on the deep neural network architecture called dynamic key-value  ...  network are multiplied by a factor of 3.0 for a practical reason [19] .  ... 
arXiv:1904.11738v1 fatcat:szgfp6ex45btjpogz7gawvqucm

Studying the variability of handwriting patterns using the Kinematic Theory

M. Djioua, R. Plamondon
2009 Human Movement Science  
From a fiducial action plan decoded by this model, a wide range of handwriting distortions are artificially generated by acting on the Sigma-Lognormal parameters.  ...  The resulting patterns are studied to understand scale changes and rotational deformations, the two basic features that a recognizer has to take into account.  ...  for any motor control-based design.  ... 
doi:10.1016/j.humov.2009.01.005 pmid:19328575 fatcat:er7cb2buyjewliirf5diq6lrwq
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