P A College of Engineering

About: P A College of Engineering is a based out in . It is known for research contribution in the topics: Dihedral angle & Ring (chemistry). The organization has 298 authors who have published 594 publications receiving 4888 citations.

Adaptive filtering of EEG and epilepsy detection using Recurrence Quantification Analysis

Abstract: This study presents the adaptive filtering of Electroencephalogram (EEG) signal and epileptic seizure detection using Recurrence Quantification Analysis (RQA). The adaptive filtering is used to remove line frequency artifact from EEG signal in which the parameters can be adjusted to maintain the input output relationship. The filtered output from adaptive filter is compared with the notch filter and wavelet filter and proven to be efficient in terms of Signal to Noise Ratio (SNR). The major advantage of choosing RQA is that, it provides better information even for short non-stationary and non linear signals where other methods fail to provide good results. And it requires no assumptions about data set size or distribution of the data. The algorithm is applied on epileptic EEG signal from CHB MIT database. The RQA measures are determined from the recurrence plot and its performance is measured in terms of sensitivity and specificity as 97.4% and 93.5% respectively.

Sensitivity and Accuracy Comparison of the Algorithms for the Abnormality Extraction of the MRI Slice Images of a GUI based Intelligent Diagnostic Imaging System

Abstract: Intelligent diagnostic Imaging System (IDIS) is a developing imaging modality that is beginning to show promise of detecting and characterizing abnormalities of the brain. The abnormalities of the brain are due to Intracranial Neoplasm, Cerebral Infections and Inflammations, Stroke, Cerebral Aneurysms, Vascular Malformations, Central Nervous System Trauma and Neurodegenerative Disorders. The abnormalities are detected mostly by scanning the brain. MRI is an effective technique to find the abnormalities of the brain. This paper is concerned with the development of image processing tools and intelligent algorithms that will automatically detect the abnormalities of the brain and sensitivity and accuracy comparison of the Algorithms for the of abnormality extraction.

Discovery of Spatial Patterns of Types of Cooking Fuels Used in the Districts of India Using Spatial Data Mining

Abstract: The key objective of this research paper is to apply data processing techniques to research the patterns of cooking fuels utilized in India. In a couple of years, the applications of spatial data analytical techniques have spread to most of the fields. The spatial data repository is growing day by day exponentially. The main intention of this paper is to identify the clusters of cooking fuel usage and to seek out the correlation between the different types of cooking fuels used. Every household requires energy to satisfy most of the essential requirements. Household air pollution from cooking with polluting fuels is recognized as a major cause of health hazards. There is poor knowledge of the health effects of prolonged exposure to smoke from unclean cooking fuels among residents. Residents are either unaware or neglect the health impacts of persistent exposure to smoke from polluting cooking fuels, and this leads to serious concerns of indoor air pollution. The local body has to be very proactive in guiding/educating the residents on the health effects of the use of unclean indoor cooking fuel. The administration can use the result of the study to scale back or to seek out the alternate resources of less-polluting cooking fuels. Spatial data processing is a powerful method to extract very much essential and useful information from the large spatial databases.

1-[3-(4-Chloro-phen-yl)-5-(4-meth-oxy-phen-yl)-4,5-dihydro-1H-pyrazol-1-yl]ethanone.

Abstract: In the title compound, C18H17ClN2O2, the benzene rings form dihedral angles of 6.69 (6) and 74.88 (5)° with the 4,5-dihydro-1H-pyrazole ring. The benzene rings form a dihedral angle of 76.67 (5)° with each other. In the crystal, mol­ecules are linked via bifurcated (C,C)–H⋯O hydrogen bonds into chains along [010]. The crystal structure is further consolidated by C—H⋯π inter­actions.

(2E)-3-(4-Butoxyphenyl)-1-(4-chlorophenyl)prop-2-en-1-one

Abstract: The central double bond in the title mol­ecule, C19H19ClO2, is trans configured. Geometric parameters are in normal ranges.