In previous work we developed a framework of computational models for function and object execution. The models on an higher level of abstraction in this framework allow for concurrent execution of functions and objects. We show that the computational model for object execution complies with the fundamentals of object-orientation. Ke ywords: programming, computational model, execution model, ma...

Modularity is the fundamental aspect of modern software engineering, however many advanced modularity techniques requires prospective technologies as part of development and operation process. In this paper, we present Refinable Function, an object-oriented approach to advanced languagebased, symmetric modularity technique for the procedure. We conceptually compare Refinable Function to existin...

This paper presents a technique that is capable of supporting four major requirements for concurrency control in real-time databases: transaction temporal consistency, transaction logical consistency, data temporal consistency, and data logical consistency, as well as tradeoos among these four requirements. The technique is based upon an object-oriented real-time database model in which each ob...

the warrant of truth has long been drawing the attention of philosophers.in order to find out the truth value one should determine first the criterion of truth. discursive or representational knowledge are related to objects external of mind and so since external circumstances are involved in occurrence of this sort of knowledge, its truth value is diminished. presential knowledge, however, is ...

abstract: a pure nucleotide pool is an essential precursor of correct dna replication and prevention of mutagenesis and abnormality in a living cell. inosine triphosphatase (itpase) is a critical enzyme to remove any deaminated rough purine nucleotides such as inosine from nucleotide pool. it has been shown that the rate of substitution mutation in genomic dna increase by abnormal function and ...

In this paper, two object detection techniques in computer vision are proposed. The first method is a trainable objecttracking method, based on maximum likelihood. The second method is an extension of support vector machines (SVMs). The first method is an extension of Retinotopical Sampling (RS). RS is a Gaussian filter with object detection mechanism. The concept of RS was inspired by human sa...

Learning object models from views in 3D visual object recognition is usually formulated either as a function approximation problem of a function describing the view-manifold of an object, or as that of learning a class-conditional density. This paper describes an alternative framework for learning in visual object recognition, that of learning the view-generalization function. Using the view-ge...