Informatics Publishing Limited

G. Durgadevi ¹, Himanshu Shekhar ²

Affiliations
1 Hindustan University, Chennai - 600016, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, Hindustan University, Chennai - 600016, Tamil Nadu, IN

Abstract

Background/Objectives: Breast cancer, is a highly diverse disease and women commonly witnesses this. This paper inducts an intelligent classification method for identifying the breast cancer from the images attained as benign and malignant. This elementary test mode supports in recognizing breast cancer at initial period and this initial stage discovery would support in recovering more number of women from this serious disease. Statistical Analysis: An intelligent system is projected which practices Artificial Neural Networks (ANN) that contributes the user; choices to analyze, sense and quantity the cancer. To attain exact outcome, the images acquired by different medical imaging modalities must be assessed using machine learning algorithms. A variety of features are extracted from the image for detecting and diagnosing nonthreatening and malicious tumour forms in digital mammograms. Findings: A number of features are extracted and established a blend of three or four features, such as entropy, standard deviation, area etc to discriminate a benign tumour from the malignant one. The accuracy using Classification using FFNN algorithm is 99%.

Keywords

Artificial Neural Networks, Breast Cancer, Feature Extraction, Mammogram, Wavelet Transform.

Full Text

   

Vishakha Kale , Tushar Maske , Himanshu Shekhar , Saurabh Ramteke , Ravindra Warathi , Vikas Kamble

Abstract

A Mobile Ad Hoc Networks (MANETs) is a collection of mobile nodes that can communicate with each other using  wireless links without utilizing any fixed based station infrastructure centralized management..Security a major challenge for these networks. Nodes cooperate by forwarding packets on behalf of each other when destinations are out of their direct wireless transmission range.  However, there may be misbehaving nodes that can rather easily disrupt the network operation and damage the communication within the network area. This problem of node misbehavior can be detected and controlled by different techniques such as Multiple Route Set (MRS) discussed in this paper which is more efficient than other general  techniques .

Keywords

Manet, Intrusion Detection,Adhoc Routing

Full Text

   

Himanshu Shekhar ¹, Mahesh Wawre ¹, Mangesh Kakade ¹, Sumit Kadam ¹, S. B. Jadhav ¹

Affiliations
1 Information Technology, Sinhgad Institute of Technology, Lonavala, Maharashtra, IN

Abstract

In this paper, we explain Remote Desktop is actually popular technologies in most over entire world. We currently have numerous handheld control software which can provide the alleviate to manipulate together with examine some kind of gadgets easily together with effortlessly. In this particular paper proposes the most up-to-date buildings intended for handheld control concerning android operating system cell phones had been created together with completed. By using this application it’s possible to Shut down, Reboot and also Firewood away from out of the way consumers applying Android sensible telephones. The particular proposed structure furthermore trades the actual data between consumers PC in order to Android Smartphone’s. The principle aim with this paper is actually Screenshot catching and also reside surging in the focused PC.

Keywords

Android, Java, Nano-HTTP, Wi-Fi.

Full Text