The dual fuel engines at part loads inevitably suffer from lower thermal efficiency and higher carbon monoxide and unburned fuel emission. This work is carried out to investigate combustion characteristics of a dual fuel (dieselgas) engine at part loads, using a single zone combustion model with detailed chemical kinetics for combustion of natural gas fuel. The authors developed software in ...

In this paper lexical cohesion modeling is considered. We argue that to model lexical cohesion in connected texts it is not enough to find related words in a text. It is important to take into account relations between entities participating in the described situations. Consideration of this factor gives the possibility to develop more flexible lexical chaining algorithms and to construct lexic...

The Lexical-Mapping Theory (LMT) in Lexical-Functional Grammar (LFG) predicts syntactic representations by mapping from the lexical predicate argument structure of the verbs (Bresnan and Kanerva 1989). Yet the widely followed account of control still is Bresnan's (1982) functional control based on grammatical functions and structural terms. In this paper, we try to propose a theory of control i...

We set forth to show that lexical connectivity plays a role in understanding early word learning. By considering words that are learned in temporal proximity to one another to be related, we are able to better predict the words next learned by toddlers. We build conditional probability models based on data from the growing vocabularies of 77 toddlers, followed longitudinally for a year. This ty...

Damage to the left or the right hemisphere can result in qualitatively and quantitatively different patterns of behavioural impairment. Damage to the right hemisphere, for example, frequently results in neglect, characterised by inattention to the contralesional side of space: this outcome is less frequent following left hemisphere damage. However, the type of stimulus to which the neglect pati...

A generalized gauge invariant Ising model on random surfaces with non-trivial topology is proposed and investigated with the dual transformation. It is proved that the model is self-dual in case of a self-dual lattice. In special cases the model reduces to the known solvable Ising-type models.

A homonym could be disambiguated by another words in the context as nouns, predicates used with the homonym. This paper using semantic information (co-occurrence data) obtained from definitions of part of speech (POS) tagged UMRD-S 1 ). In this research, we have analyzed the result of an experiment on a homonym disambiguation system based on statistical model, to which Bayes' theorem is applied...

Distributional Semantic Models (DSMs) have been successful at modeling the meaning of individual words, with interest recently shifting to compositional structures, i.e., phrases and sentences. Network-based DSMs represent and handle semantics via operators applied on word neighborhoods, i.e., semantic graphs containing a target’s most similar words. We extend network-based DSMs to address comp...

It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze the distribution of words in large text corpora. According to the law of association by contiguity, the acquisition of word associations can be explained by Hebbian learning. The free word associations as produced by sub...