Manuscripts

Recent Papers

Study of Different Techniques for Human Identification using Finger Knuckle Approach

There are different biometric modalities used to identify person which includes palmprint, face, fingerprint, iris and hand geometry. Apart from these biometric modalities, finger knuckle print also used as one of the cost effective biometric identifier. Finger knuckle print is defined by the back side of fingers. On the back side of fingers there are three joints named as Metacarpophalangeal (MCP) joint, Proximal InterPhalangeal (PIP) joint, distal InterPhalangeal (DIP) joint. The joint which connects hand with the fingers is known as MCP joint and the pattern generated on MCP joint is referred as second minor finger knuckle print. The joint in the middle of finger is known as PIP joint and the pattern generated on this joint is referred as major finger knuckle print. The joint on the tip of finger is known as DIP joint and the pattern generated on this joint is referred as minor finger knuckle print.

Published by: Sanjna Singla, Supreet Kaur

Author: Sanjna Singla

Paper ID: V2I4-1138

Paper Status: published

Published: July 1, 2016

Full Details

A Closer Overview on Blur Detection-A Review

The image blurring is caused by motion and out of focus parameters and type of blur can be classified as global blur and local blur.in this paper the most challenging spatially varying blured detection schemes are proposed..In this the blur detection techniques for digital images are used in order to determine the blur detection several classifiers are used.In this paper we reviewed SVM & DCT based different blur detections.

Published by: Ravi Saini, Sarita Bajaj

Author: Ravi Saini

Paper ID: V2I4-1137

Paper Status: published

Published: July 1, 2016

Full Details

The Art of Scheduling in Cloud Computing

Cloud computing is one of the fastest growing technologies which has replaced machine paradigm shift. Cloud computing provides very large scalable and virtualised resources over Internet. In Cloud computing, there are many jobs that are required to be executed by available resources while achieving best performance, minimal total time for completion, shortest response time, utilization of resource etc. To achieve these objectives we need to design, develop and propose a scheduling algorithm. In this paper we are surveying various types of scheduling techniques and issues related to them in Cloud computing. Here we have also surveyed various existing algorithms to find their appropriation according to our needs and their shortcomings.

Published by: Harshita Vashishth, Kamal Prakash

Author: Harshita Vashishth

Paper ID: V2I4-1136

Paper Status: published

Published: July 1, 2016

Full Details

Breast Cancer: Classification of Breast Masses Mammograms using Artificial Neural Network and Support Vector Machine

This paper presents the diagnosis of breast cancer by using ANN and SVM. To deal with the different kinds of abnormalities causing Cancer, this report consists of all the modalities which help in detecting cancer and well as different methods of feature extraction. Such modalities can be named as: Mammography, Ultrasound, MRI etc [1]. Currently, Electrical impedance and nuclear medicine are used widely for diagnosis. These modalities Based on the image processing i.e. identification of abnormality is done through the reading and retrieving information from images. But this research is based on mammogram images. Before retrieving information one should know about all kinds of abnormalities like: micro classification, masses, architectural distortion, asymmetry, and breast density etc.[2]. And after the process of extracting the abnormal part or can say that ROI (Region of Interest) on which the treatment is applied. To extract ROI various methods are used like region growing, edge detection, segmentation etc. [3][4]. Then, feature extraction is done from which a lot of features are extracted on which feature selection is applied to get higher accuracy. After going through all researches done till now here I have got the conclusion that for determining the presence of cancer researcher uses different features but till now only few researcher used two features named shape and texture which needs good classification technique[1]. Then, classify into classes of normal and abnormal classes. From the statistical study it has been found that the trend in increasing cancer every year, thus, the best and most effective way to cure cancer is the removal of cancerous part.

Published by: Kamaldeep Kaur, Er. Pooja

Author: Kamaldeep Kaur

Paper ID: V2I3-1200

Paper Status: published

Published: June 29, 2016

Full Details

Wireless Sensor Network: A Review

Wireless Sensor Networks (WSN) consists of nodes with limited power deployed in the area of interest. Nodes cooperate to collect, transmit and forward data to a base station. In WSN, clustering and scheduling techniques ensure collecting data in an energy efficient manner. In this work, we have reviewed many papers relating to clustering and scheduling of sensor network. After reviewing many papers and considering the latest one as the base paper we believe that the work done in it is the latest one, modifications in the work is suggested in report. This review give the basic description of wireless sensor network and their importance in energy efficiency and give a brief about most famous protocol is described leach and their improved version.

Published by: Sashi, Pooja Dhankar

Author: Sashi

Paper ID: V2I3-1199

Paper Status: published

Published: June 29, 2016

Full Details

A Novel Self Organizing Clustering Scheme for Clusters Setup

Wireless Sensor Networks (WSN) consists of nodes with limited power deployed in the area of interest. Nodes cooperate to collect, transmit and forward data to a base station. In WSN, clustering and scheduling techniques ensure collecting data in an energy efficient manner. In this work, we have reviewed many papers relating to clustering and scheduling of sensor network. After reviewing many papers and considering the latest one as the base paper we believe that the work done in it is the latest one, modifications in the work is suggested in this report. This proposal give the basic description of wireless sensor network and their importance in energy efficiency and give a brief about most famous protocol is describes leach and their improved version In this work we have proposed a novel self organizing clustering scheme which considers the real time parameters for setting up the clusters for data collection. Unlike several proposed algorithm, this scheme re-clusters the network only when CH fall below a threshold level. Repeated unnecessary clustering in every round depletes the energy of the network more quickly. We have introduced heterogeneity in the proposed work. By virtue of heterogeneity in terms of energy, lifetime of the network can be extended. An algorithm is functional if the area of interest is covered by active nodes. The period for which the network is functional is termed as persistent period in our work. Simulation results show that the proposed scheme is comparatively more energy efficient, scalable robust and has longer persistent period. And later part of the proposal gives the advantage and disadvantage of these protocols.

Published by: Sashi, Pooja Dhankar

Author: Sashi

Paper ID: V2I3-1198

Paper Status: published

Published: June 29, 2016

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X