Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature. In this paper, we applied 2-opt, greedy 2-opt, 3-opt, greedy 3-opt, and VNZ as heuristic methods and tabu search (TS), simulated annealing, and pa...

Identification systems that use biometric characteristics to solve the problem of access information are becoming more common. The article proposes a new method identification computer users, based on determination integral Volterra model human oculo-motor system (OMS) according experimental research "input-output" using innovative eye tracking technology. With help Tobii Pro TX300 tracker, dat...

In multilingual countries text-to-speech synthesis systems often have to deal with sentences containing inclusions of multiple other languages in form of phrases, words or even parts of words. Such sentences can only be correctly processed using a system that incorporates a mixed-lingual morphological and syntactic analyzer. A prerequisite for such an analyzer is the correct identification of w...

Russell's principal claim is that a characterization of emotion concepts in terms of prototypes offers the most fruitful approach to understanding emotion. He contrasts this position with the classical view that emotion categories have necessary and sufficient conditions. The focal issue concerns whether the two views of emotion concepts that Russell contrasts really are incompatible. Reasons a...

Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying importance of the LPC coefficients in SV, the so-called partition normalized distance measure successfully used normalized feature components. This paper introduces an alternative, called heuristic weighted distance, to lift up highe...

Information Extraction from Indian languages requires effective shallow parsing, especially identification of “meaningful” noun phrases. Particularly, for an agglutinative and free word order language like Marathi, this problem is quite challenging. We model this task of extracting noun phrases as a sequence labelling problem. A Distant Supervision framework is used to automatically create a la...

Redundancy identification is an important step of the design flow that typically follows logic synthesis and optimization. In addition to reducing circuit area, power consumption, and delay, redundancy removal also improves testability. All commercially available synthesis tools include a redundancy removal engine which is often run multiple times on the same netlist during optimization. This p...

The purpose of this work is to construct a robust numerical scheme for class nonlinear free boundary identification problems. First, shape optimization problem constructed based on least square functional. Schauder’s fixed point theorem manipulated show the existence solution state solution. an optimal proved. proposed Radial Basis Functions method as discretization approach, minimization proce...