Hidden Markov models [2] (HMMs) have been successfully applied to Bioinformatics such as gene finding, remote homology detection and secondary structure prediction. On the other hand, continuous density HMMs have been widely used in the field of speech recognition. Though continuous density HMMs were not applied to Bioinformatics so far, they may also be useful in Bioinformatics. Currently, we ...

The rate of penetration (ROP) is one of the vital parameters which directly affects the drilling time and costs. There are various parameters that influence the drilling rate; they include weight on bit, rotational speed, mud weight, bit type, formation type, and bit hydraulic. Several approaches, including mathematical models and artificial intelligence have been proposed to predict the rate o...

Introduction: In Japanese the meaning of free choice is expressed by indeterminate pronouns and the particle mo in comparative environments, as shown in (1). (Note: normally, the meaning of free choice is expressed by indeterminate pronouns plus demo, but demo cannot appear in comparative environments). (1a) and (1b) are different in word order, but semantically, they both have what I call the ...

The goal of gene finding is to locate genes, which are important segments of DNA encoding proteins. Programs solving this task are based on hidden Markov models (HMMs) capturing statistical features extracted from known genes, but often also incorporate hints about the correct gene structure extracted from experimental data. Existing gene finding programs can use such external information only ...

In recent years, structured online discriminative learning methods using second order statistics have been shown to outperform conventional generative and discriminative models in the grapheme-to-phoneme (g2p) conversion task. However, these methods update the parameters by sequentially using N -best hypotheses predicted with the current parameters. Thus, the parameters appearing in early hypot...

Métodos e técnicas para compressão de dados têm sido utilizados para o reconhecimento de padrões, incluindo a classificação automática de textos. A eficiência do método Prediction by Partial Matching (PPM) como classificador textual já foi comprovada em diversos trabalhos, entre eles a atribuição de autoria para textos em português. As classes utilizadas no processo de classificação não precisa...

The drag force associated with gravity waves generated by flow over the world’s mountain ranges tends to decelerate the large-scale atmospheric circulation, and must be parametrized in global weather prediction and climate models, since it is still not adequately resolved by those models. Such parametrizations have proved to be of crucial importance for improving the skill of weather forecasts....

Dynamic frothability index (DFI) is a characteristic of any frother which presents useful information about frothing properties. The objective of this study is to introduce a prediction model for estimation of DFI value of dual-frother blends. Model uses the DFIs of frothers and mole ratio of weaker frother to calculate the blend’s DFI. The model reliability was confirmed by comparing the exper...

Supply chain management helps partners in the chain to justify internal costs. The pursuit of cost information through the supply chain is very important for controlling costs, which helps to establish and optimize activities in institutions in the value chain. In this research, we have tried to review the literature on Supply Chain Costing in order to predict a model of management dashboard de...

Supply chain management helps partners in the chain to justify internal costs. The pursuit of cost information through the supply chain is very important for controlling costs, which helps to establish and optimize activities in institutions in the value chain. In this research, we have tried to review the literature on Supply Chain Costing in order to predict a model of management dashboard de...