Abstract

There are many types of input devices are presents such as mouse, keyboard, etc. But with the development in the field of computer this input devices are not sufficient. So due to some limitation to those devices, direct use of the hands as input device can act to be attractive and effective method. Since human being has different size for hand for different person, the most challenging problem consists of the segmentation and the correct classification of the information gathered from the input data. Our task is to extract this information in a time efficient manner and also the feature extracted should be correct. Instead of variation in the size of hand the feature extracted should be consistent. Our approach gives the best solution to extract information even if there is change in the size and shape of hand.

Abstract

In this paper the effect of free convection on the heat transfer and the flow through a highly porous medium bounded by two vertical parallel porous plates in presence of transverse magnetic field is studied. It is assumed that free stream velocity oscillates in times about a constant mean. Assuming periodic temperature at the moving plate, the approximate solutions for velocity and temperature are obtained and the effect of various physical quantities are studied through graphs. The expressions for skin friction and the rate of heat transfer are also obtained and discussed through tables.

Abstract

The paper reports a performance range of Mean Square error [MSE] for criminal, civil and labor cases provided that the external factors can affect the court case time span prediction are constant. The results demonstrate the time performance range prediction of the court cases’ and neural network model for cases or knowledge base via MATLAB neural network tool box.

Abstract

Electroencephalogram (EEG) is used for the analysis of brain signals obtained from various electrodes placed across the scalp at specific positions. The collected signals from brain are often contaminated with Ocular Artifacts (OAs), EKG   and EMG artifacts. In this paper a novel technique is used for the removal of ocular artifacts using FastICA algorithm which decomposes the EEG signals into independent components then an LMS (Least Mean Squares) based adaptive algorithm is applied to the independent components so as to get the original EEG signals. In the first step, independent basis functions attributed to OA are computed using FastICA algorithm. In the second step we arrive ocular artifact free EEG signal efficiently comparative to FastICA. In this paper, based on some parameters like Root Mean Square Deviation (RMSD) and Root Mean Square Variance (RMSV) we can say that the EEG signal obtained after second step is better than after the first.

Abstract

Bubble column reactors are intensively used as multiphase flow reactors and reactors in chemical ,biochemical and petrochemical industries. Till recently its visionary potential is exploited in an effective and far-reaching manner in treating textile dye effluents, thus opening the window of innovation in the field of application of environmental engineering science. These reactors provide several advantages and benefits during operation and maintenance such as high heat and mass transfer rates, compactness and low operating and maintenance costs. Three phase bubble column column reactors are widely employed in reaction engineering,i.e. in the presence of catalysts and in the wide avenue of biochemical engineering. Textile waste effluents are one of the wastewaters that are difficult to degrade by primary and secondary treatment procedures and they contain recalcitrant compounds. So the need of a tool as a tertiary treatment process-ozone-oxidation or advanced oxidation process for treating textile dye effluents in a bubble column reactor. The aim of our study is to gain understanding and unravel the hidden secrets of the tool of bubble column reactor in degrading textile dye effluents. Fundamentals of the subject striving towards applied aspects of the ozone technology and its application are presented in this study with minute details.

In the second stage an attempt will be targeted to explore the kinetics of the ozone oxidation of dyes and the subsequent design of bubble column reactor. A particular pH and a particular redox potential will be found for a specific dye conversion of dye. A number of different types of dyes will be utilised-anthraquinone and azo dyes. It will open up a new area of environmental engineering science.

Application of nanotechnology in environmental engineering science is also a vision and mission of our study and research. Nanotechnology can be extensively used in developing safe drinking water for a growing population. The application of nanotechnology to the purification and treatment of water supplies to make them potable may potentially revolutionize water purification and treatment. Our future vision will lead towards this area of innovation.

Abstract

Brain activity produces electroencephalogram signals, which consists of some of vital signs of neurological disorders and very much helpful in Brain Computer Interfacing(BCI). These signals can be acquired by placing the electrodes on the scalp at specified positions and exists in few hundreds micro volts range with a frequency band of DC-100 Hz. Acquisition of these signals is mainly suffers from different unwanted signals (noise) results in less signal information for identification. In this paper modeling of EEG signals has been done with wavelets and Iterative Soft Thresholding (IST)algorithm. Results reveal that the enhancement of these signals gives the exact features without losing the signal information.