Informatics Publishing Limited

K. Sujatha ¹, P. Chitra ¹

Affiliations
1 PG and Research Department of Zoology, Government Arts College, Coimbatore, Tamil Nadu, IN

Abstract

The polyphagous devastating pest Spodoptera litura was infected in with the bioinsecticide Steinernema - Xenorhabdus symbiont and the larvae were used to analyse the protein content in both infected and control larvae. The EPN - Entomopathogenic nematodes were isolated from Westernghat region of Marudhamalai area and used in this study. The infected larvae after 24 hours were taken along with non infected control S. litura with three replication revealed that the infected had less protein content compared to control. This may be due to the utilization of the protein by the Steinernema - Xenorhabdus symbiont for their growth, development and reproduction.

Keywords

Protein, Spodoptera Litura , Steinernema , Xenorhabdus

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P. Chitra ¹, G. Ilanchezhia Pandian ¹, P. Sheik Abdul Khader ¹

Affiliations
1 Department of CA, B.S Abdur Rahman University, Chennai, IN

Abstract

A mobile ad-hoc network (MANET) technology is an autonomous system of mobile routers connected by wireless links. The Adaptive routing for Quality of Service in MANET improves the performance by evaluating the combination of Network layer and MAC layer protocols with transport layer congestion control mechanisms operating in a mobile adhoc network. In IEEE 802.11 and 802.11e with Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR) algorithms with slow start and Arithmetic Increase and Multiplicative Decrease (AIMD) uses Distributed coordination function (DCF) and Enhanced DCF to improve QoS. In addition, Throughput, Packet delivery ratio, Packet loss, Bandwidth Delay Product will be improved. It is used to carryout the implementation of Cross layer architecture to improve the Quality of Service in MANET by IEEE 802.11 with AODV and DSR protocol using NS2 simulator.

Keywords

A Mobile Ad-hoc Network, WIMAX or WIFI, Wireless Mobile Node.

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P. Chitra ¹, B. Sheela Rani ¹, B. Venkataraman ², Baldev Raj ³

Affiliations
1 Sathyabama University, Chennai 119, IN
2 Quality Assurance Division, Indira Gandhi Centre for Atomic Research, Kalpakkam, IN
3 Indira Gandhi Centre for Atomic Research, Kalpakkam, IN

Abstract

Radiography is one of the oldest Non Destructive Techniques used to find the volumetric defects in welding. After digitization, radiographic images are generally of low contrast, dark and have high noise. Hence it is difficult to detect the defects with very high accuracy. Hence, image enhancement is a significant part of automated radiography inspection system. Weld defect detection or classification is a multi-step process which plays a vital role in processing of the radiographic weld image. Edge Detection is one of the pre-processing step to eliminate the unwanted information from the radiographic image and used to extract the required defect information (edge of the Radiographic image) during further processing. This paper mainly deals with first derivative edge detection filters which are applied on the radiographic weld image. The optimum threshold value for the edge detection filters based on the type of defects is obtained. The major defects like weaving faults, crack, under cut and slag inclusion are analyzed.

Keywords

Digital Radiography, Edge Detection, Morphological Processing, Weld Defects.

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N. Bhooma ¹, P. Chitra ¹

Affiliations
1 Department of Food Science and Nutrition, Avinashilingam Deemed University, Coimbatore - 641 043, IN

Abstract

Ageing is a normal process and not a disease. Ageing is the accumulation of changes that occur over a iifetime, resulting in an increasing acceptability to malnutrition and deaths. The absorption of minerals in ageing decreases due to morphological changes in the brush border membrane, diminisned secretion of digestive enzymes or metabolic alterations in nutrient transport mechanism. There are many minerals which are required in small quantities but they are very essential to maintain health status. Very few studies have been carried out towards this vein. Hence in the present study it was planned to evaluate the selected trace mineral content, calcium and magnesium of food consumed by the inmates of old age homes and also to estimate the selected trace minerals, calcium and magnesium content of blood, hair and nail samples of the selected elderly.

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Daisy Nath ¹, P. Chitra ¹

Affiliations
1 Sathyabama University, Chennai, IN

Abstract

Color sampling based matting methods find the best known samples for foreground and background colors of unknown pixels. Such methods do not perform well if there is an overlap in the color distribution of foreground and background regions. Furthermore, current sampling based matting methods choose samples that are located around the boundaries of foreground and background regions. The contribution of texture and color is automatically estimated by analyzing the content of the image. The method uses texture to complement color in extracting accurate mattes in images when foreground and background colors overlap. This is handled by designing an objective function that uses weighted contribution of color and texture information to select the best (F,B) pair for unknown samples. The final matte is further refined using conventional Laplacian method. The image quality enhancement parameters applied to matting image to produce high visual quality output.

Keywords

Alpha Matting, Trimap, Color Sampling.

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P. Chitra ¹, V. N. Ramakrishnan ²

Affiliations
1 Department of Embedded Technology, School of Electronics Engineering, VIT University, Vellore- 632014, Tamil Nadu, IN
2 Department of Micro and Nanoelectronics, School of Electronics Engineering, VIT University, Vellore – 632014, Tamil Nadu, IN

Abstract

In wireless communication system, the supply voltage should be as low as possible to increase operation time of the system. This shows how importance the low-power circuits are in this field. Recently, there has been considerable interest in the use of Fin type Field Effect Transistor (FinFET) technology to implement RF components such as low-noise amplifiers (LNAs), mixers, and voltage-controlled oscillators (VCOs). VCOs are critical building blocks in modern wireless communication system which is mainly used in Phase Locked Loop. This work describes designing and simulation of Double Gate (DG) FinFET based Inductor (L) and Capacitor (C) tank VCO and the radiation effect of single event transient (SET) on the topology. The LC VCO topology is implemented with 30 nm DG-FinFET technology with 1V as DC power supply voltage which oscillates at 32.61 GHz frequency, results the VCO draws 64.97 μA current and an average power consumption of 64.97 μW. The measured phase noise of the topology is -120.54dBc/Hz at 1 GHz offset frequency and Figure of Merit (FOM) is - 162.68 dBc/Hz at 1 GHz offset frequency.

Keywords

DG-FinFET, Figure of Merit, Low Power, Phase noise, Single Event Transient (SET), Voltage Control Oscillator.

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Ch. Goutham ¹, K. Rakesh ¹, K. S. Ramesh ¹, R. Revathi ¹, S. Koteswra Rao ¹, P. Chitra ¹, V. N. Ramakrishnan ¹

Affiliations
1 Guntur, Andhra Pradesh, IN

Abstract

Background/Objectives: Earthquakes are the most unpredictable natural disasters in nature. Spectral analysis of seismoionospheric perturbations will be helpful in understanding the source mechanisms of the earthquakes. Seismogenic perturbations observed in ionosphere for an earthquake occurred on 19th December 2013 are investigated. The earthquake peaked at 4.6 on Richter scale. It took place at 16:41 hour's green which mean time. International global navigation satellite services data for the station BAKO is considered for the analysis. Methods/Statistical Analysis: In present work Bartlett method is implemented on the vertical total electron content data on the earthquake day. Findings: Earthquake signatures in the ionosphere are indentified. It is also observed that the power spectral density of the perturbations has a giant initial value and abated slowly. Application: These findings will aid us to develop early warning systems for earthquakes.

Keywords

Earthquake, Signal Processing, Upper Atmospheric Sciences.

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P. Chitra ¹, M. R. Ebenezer Jebarani ¹, P. Kavipriya ¹, K. Srilatha ¹, M. Sumathi ¹, S. Lakshmi ¹

Affiliations
1 ECE Department, Sathyabama Institute of Science and Technology, Chennai-119, IN

Abstract

A novel method of detecting Acute myelogenous leukemia (AML) disease using image processing algorithms is discussed in this paper. AML is an high risk disease which should be diagnosed early. AML detection is challenging, and should be performed by a qualified hematopathologist or hematologist. This paper discusses an automatic detection of AML using image processing methods. The algorithm consists contrast enhancement, Local binary pattern detection and Fuzzy C mean clustering technique. This Automatic detection method will helps the hematologists for easier identification and early detection of leukemia from blood microscopic images which will improve the chances of survival for the patient. A fuzzy based two stage color segmentation strategy is employed for segregating leukocytes or white blood cells (WBC) from other blood components. Discriminative features i.e. nucleus shape, texture are used for final detection of leukemia.

Keywords

Acute Myelogenous Leukemia, Fuzzy C Mean Clustering, Local Binary Pattern Feature Extraction.

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