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Archives Volume-7, Issue-1 (January-June)

TABLE OF CONTENTS

Paper Title:
SSD-ENHANCED FINGERPRINT APPROACH FOR ACCURATE LOCATION IDENTIFICATION
Author Name:
Mr. M. Satish babu
Country:
India
Page No.:
1-10
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SSD-ENHANCED FINGERPRINT APPROACH FOR ACCURATE LOCATION IDENTIFICATION
Author: Mr. M. Satish babu

ABSTRACT: Fingerprint-based methods are widely adopted for indoor localization purpose because of their costeffectiveness compared to other infrastructure-based positioning systems. However, the popular location
fingerprint, Received Signal Strength (RSS), is observed to differ significantly across different devices’ hardware
even under the same wireless conditions. We derive analytically a robust location fingerprint definition, the Signal
Strength Difference (SSD), and verify its performance experimentally using a number of different mobile devices
with heterogeneous hardware. Our experiments have also considered both Wi-Fi and Bluetooth devices, as well as
both Access-Point (AP)-based localization and Mobile-Node (MN)-assisted localization. Also compare these SSDbased localization algorithms’ performance against that of two other approaches in the literature that are designed
to mitigate the effects of mobile node hardware variations, and show that SSD-based algorithms have better
accuracy. To justify this we make a data transfer between the nodes using the SSD-based and it proves the
accuracy.

Paper Title:
REVIEW AND COMPARISON OF CLASSIFICATION TECHNIQUES FOR PAP SMEAR DIAGNOSISP.
Author Name:
Suresh Krissna
Country:
India
Page No.:
11-17
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REVIEW AND COMPARISON OF CLASSIFICATION TECHNIQUES FOR PAP SMEAR DIAGNOSISP.
Author: Suresh Krissna

ABSTRACT:- The Classification for Pap smear Diagnosis aims at classifying the Pap smear cells whether it is
affected or not. The term “Pap-Smear” refers to samples of human cells stained by the so-called Papanicolaou
method. The Papanicolaou method is a medical procedure to detect pre-cancerous cells in the uterine cervix. The
median filter is used to remove the noises in the cell, and then the features are extracted using gray level cooccurrence matrix technique. k-NN classifier, Baye’s classifier and ANN classifiers are used for the
classification problem.. The classified cells are normal and abnormal.
Keywords:- Bayesian classifier, Genetic Algorithms, Nearest Neighbor based Classifiers, Neural Network, PapSmear Classification.

Paper Title:
SMART PERIMETER DETECTION SYSTEM USING GPS
Author Name:
Krishnan Thangapushpam
Country:
India
Page No.:
18-23
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SMART PERIMETER DETECTION SYSTEM USING GPS
Author: Krishnan Thangapushpam

ABSTRACT:
The Tamil Nadu factor in India-Sri Lanka relations that had been quiet for long has come to
the fore in the form of the fishermen issue. Frequent incidents of fishermen from Tamil Nadu
getting shot in the Sri Lankan’s maritime boundary have enraged all citizen of the state. From
Tamil Nadu about 18,000 boats of different kinds conduct fishing along the India - Sri Lanka
maritime border. Ever since violence broke out in Sri Lanka two decades ago, fishing activity
has not been peaceful. Tamil Nadu fishermen are arrested, or shot, by the Sri Lankan Navy.
In this problem will be solved by using An Intelligent Boundary Alert System (IBAS).An
IBAS system induces the new methodology for saving the fishermen valuable life and their
properties from the Sri Lankan’s navy. The main objective of this system is used to help the
fishermen to navigate inside our maritime country border.
Keywords - GPS, ARM7, WSN

Paper Title:
MEDICAL IMAGE RETRIEVAL USING PATCH-BASED CONTENT REPRESENTATION
Author Name:
Ram Charan & Kavitha
Country:
India
Page No.:
24-39
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MEDICAL IMAGE RETRIEVAL USING PATCH-BASED CONTENT REPRESENTATION
Author: Ram Charan & Kavitha

ABSTRACT:
This research work is to develop an efficient and powerful medical search engine to classify and search
the radiographic medical images. It focuses on bag of visual words image representation and a
similarity matching technique to represent match and retrieve the similar images. This work addresses
the issues in content based image retrieval for medical images. In this system can handles different
categories of medical images in organ level and the pathology level for chest X-ray images. This simple,
efficient medical image categorization and retrieval system in large radiographic archives (IRMA
database) is developed for a medicine physicians and researchers those who are interested in being able
to retrieve medical images based on low level features. This would make these systems more helpful for
radiologists in medical settings, researches in medical analysis and medical students as well as teachers
in academic healthcare environments. The methodology presented is based on local patch
representation of the image content using a bag of visual words approach with a kernel based SVM
classifier. The system supports the classification of X-ray images and retrieval of similar medical images
for given input query image.
Key terms: CBIR, IRMA, Picture archiving and Communication System, Bag of Visual Words,
Computer Aided Diagnosis, Chest Radiography, image Patches.

Paper Title:
DYNAMICAL ANALYSIS AND NUMERICAL SOLUTION OF A TUMOR MODEL
Author Name:
Baljit Singh
Country:
India
Page No.:
40-49
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DYNAMICAL ANALYSIS AND NUMERICAL SOLUTION OF A TUMOR MODEL
Author: Baljit Singh

ABSTRACT.
Significant advancements have been achieved in understanding the complex behaviours of
tumor cells and their interactions with the immune system through theoretical, experimental,
and clinical approaches in recent years. These developments have accelerated the
development of crucial methods for treating cancer, including immunotherapy, chemotherapy,
targeted pharmacotherapy, and others. Simultaneously, significant progress has been made in
the fields of analytical and computer modeling, with the aim of understanding clinical
observations. In this paper, we introduces a tumorâĂŞimmune interaction model consisted of
tumor cells, activated T cells, and anti PD-1 drug, represented as three-dimensional Ordinary
differential equation model. We assume the tumor growth to be exponential, due to their
unrestrained growth in the absence of an immune response and drug therapy. In the absence
of drug application, the model has a tumor-free equilibrium and maximum one tumorous
equilibrium . We further discussed the stability analysis of the equilibrium and conducted
numerical simulations to validate the obtained findings.
Keywords: Tumor-immune system interaction model, Numerical approximation, Stability.

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