Notice Board: Call for Paper Vol. 8 Issue 10      Submission Start Date: September 30, 2021      Acceptence Notification Start: October 12, 2021      Submission End: October 18, 2021      Final MenuScript Due: October 22, 2021      Publication Date: October 31, 2021






Volume 2 Issue 12

Author Name
Gulave Sukdev Madhav, Surendra Vishwakarma
Year Of Publication
2015
Volume and Issue
Volume 2 Issue 12
Abstract
In this paper proposed a face detection method based on feature selection and feature optimization. Now in current research trend of biometric security used the process of feature optimization for better improvement of face detection technique. Basically our face consists of three types of feature such as skin color, texture and shape and size of face. The most important feature of face is skin color and texture of face. In this detection technique used texture feature of face image. For the texture extraction of image face used Gabor feature extraction function, these function is most promising shape feature analysis. For the selection of feature and optimization of feature used multi-objective TLBO. TLBO algorithm is population based searching technique and defines two constraints function for the process of selection and optimization. For the evaluation of performance our proposed algorithm implemented in MATLAB 7.8.0 software and face image used provided by Google face image datab
PaperID
2015/02/IJMERT/12/137

Author Name
Deepika Singh, Pratibha Devi Umesh
Year Of Publication
2015
Volume and Issue
Volume 2 Issue 12
Abstract
Resource allocation in wireless mesh network is very critical task. For the allocation of resource such as channel used various scheduling technique such as centralized and distributed. In centralized technique the allocations of channel resource share in single window process. For the improvement of the performance various authors used various optimization technique such as DCF game theory and other heuristic function. In this paper used genetic algorithm for the selection of resource such as cannel in wireless mesh network. By the genetic algorithm the selections of channel is very fair and improved the channel capacity and decrease the value of degree of interference. The proposed system of channel selection simulate in MATLAB 7.14.0 software. This software is well known simulation software for the analysis of communication network The experimental result of simulation shows that better in case of channel capacity and degree of interference. The proposed selection technique compa
PaperID
2015/02/IJMERT/12/138

Author Name
Rajeev Kumar, Shivadhar Sharma
Year Of Publication
2015
Volume and Issue
Volume 2 Issue 12
Abstract
A new di(μ-carbonato)bis[aqua(diethylenetriamine) copper(II)] hexahydrate complex, [{Cu(NH(C2H4NH2)2)(H2O)(μ-CO3)}2]・6H2O (1), was synthesized by direct interaction of malachite with diethylenetriamine (dien). The crystals of 1 were characterized by X-ray powder diffraction and IR spectra, as well as structurally characterized. Compound 1 consists of [{Cu(dien)(H2O)(μ- CO3)}2] discrete units whose CO32− anions play the role of bridging ligands combining two Cu(II) chelate cores into a centrosymmetric dimer. The elongated octahedral environment of Cu2+ consists of three nitrogens of dien and oxygen from CO32− at the base of the bipyramid; the two apical positions of such polyhedron are occupied by oxygen from an adjacent CO32− and an O from H2O. Combining the primary dimers into a framework is provided by O–H⋯O and N–H⋯O hydrogen bonds. The thermal behavior of 1 was investigated by differential thermal analysis. Thermal decomposition of 1 terminates at 400 °C, while the maximal combust
PaperID
2015/02/IJMERT/12/139



Notice Board :

Call for Paper
Vol. 8 Issue 10

Submission Start Date:
September 30, 2021

Acceptence Notification Start:
October 12, 2021

Submission End:
October 18, 2021

Final MenuScript Due:
October 22, 2021

Publication Date:
October 31, 2021