The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, ...

Inductive programming—the use of inductive reasoning methods for programming, algorithm design, and software development—is a currently emerging research field. A major subfield is inductive program synthesis, the (semi-)automatic construction of programs from exemplary behavior. Inductive program synthesis is not a unified research field until today but scattered over several different establi...

Natural Language Processing is a technique where machine can become more human and thereby reducing the distance between human being and the machine can be reduced. Therefore in simple sense NLP makes human to communicate with the machine easily. There are many applications developed in past few decades in NLP. Spoken language recognition refers to the automatic process through which we determi...

Many applications in biomedical imaging have a demand on automatic detection of lines, contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert decisions in interactive applications or to include it as part of a processing pipeline for automatic image analysis. Biomedical images often suffer from noisy data and fuzzy edges. Therefore, there is a need for robust met...

We propose an algorithm based on the principle of dynamic programming for the automatic segmentation of continuous speech into phoneme-like units. A measure of local dissimilarity among consecutive feature vectors is combined with a knowledge of the expected statistical distribution of the segment lengths within a dynamic programming framework to obtain an optimal placement of segment boundarie...

A system is described which can generate programs for machine vision systems whicji have to measure a number of parameters of an industrial object in a camera image. Programs are generated starting from descriptive object models. The object models used are context-free attribute grammars, hence the generated programs are parsers. Errors in generated programs, caused by using inaccurate models, ...

The aim of this thesis is to investigate techniques for, and applications of automatic sound synthesizer programming. An automatic sound synthesizer programmer is a system which removes the requirement to explicitly specify parameter settings for a sound synthesis algorithm from the user. Two forms of these systems are discussed in this thesis: tone matching programmers and synthesis space expl...

This paper introduces an automatic bond graph design method based on genetic programming for the evolutionary design of micro-resonator. First, the system-level behavioral model is discussed, which based on genetic programming and bond graph. Then, the geometry parameters of components are automatically optimized, by using the genetic algorithm with constraints. To illustrate this approach, a t...