International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

                                                                                                                                                                                                   ISSN : 2278 7917 

Call For Papers

January 2019

  Submission         January 10

  Acceptance         January 20

  Publication          January 30

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International Journal of advanced studies in Computer Science and Engineering (IJASCSE) is here to provide a timely and broad coverage of research in ever-challenging field of Computer Science and Computer Science Engineering. IJASCSE is an interdisciplinary, peer reviewed, fully refereed, monthly, Open Access journal for research scholars with a mix of regular and theme based issues to share their new and advanced research in Computer Science and Engineering. 


The papers published at IJASCSE are currently Abstracted & Indexed by some world famous databases.

 Call For Papers

December  2018

     Submission            December 10

      Notification            December 20

      Publication            December 31

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Open Access Database


IJASCSE is an online peer reviewed quality publication, which publishes research papers from diverse fields in computers, sciences, engineering and technologies that emphasizes new research, development and their applications. It provides an open access database for all who are interested to exchange their research work, technical notes & surveying results among professionals through out the world.

 

 IJASCSE volume 5 issue 12                           

 

An Efficient Hole Aware Geographical Routing in MANETs

Priya Mishra, Charu Gandhi, Buddha Singh

AbstractGeographical routing protocols are accepted potentially, scalable and efficient solution for routing in MANETs. These routing protocols generally use greedy forwarding to route data. However, greedy routing has several advantages but does not perform well if it encounter with a hole (voids). In presence of such holes packet losing, delay, re-routing and energy consumption can increase which make routing inefficient. Thus, to improve the performance of geographic routing protocols, hole detection and its avoidance are required. In this paper, we aim to propose an efficient hole aware routing algorithm to overcome the hole problem in geographical
routing protocols. The proposed protocol effectively detects and avoids the hole and
successfully completes the routing process. In addition, it improves the communication overhead as well as finds a shorter path than existing routing protocols.

 

Machine Learning Model for the classification of ECG Signals

Kawther Ali Al-Dhlan 

Abstract Electrocardiography helps cardiologists explore the electrical activity of the heart by recording the variations of the electrical wave’s activity generated by the ventricular and auricular polarization and depolarization activity of the heart. This activity is one of the most important parameters determining the state of a subject under medical study. It is revealed in the form of several waves acquired by the electrocardiograph and visualized through the electrocardiogram (ECG). The analysis of the ECG signal and the identification of its parameters constitute essential step for arrhythmia detection. In this study we propose building an improved machine learning model based on a Naïve Bayes classifier for the classification of ECG signals as havingarrhythmia or not having arrhythmia.

 

Node Synchronization Approach to Access CSMA/CA Channel

Manali Chandnani, Mukesh Kumar Khandelwal, Meeta Sharma

Abstract Node synchronization is a task of achieving synchronization among various nodes sharing a communication system. The CSMA/CA protocol suffers from node and channel synchronization problem. There may be a situation when multiple nodes are waiting to access the common shared channel. It is required to design an algorithm to schedule node to access the channel first. The paper describes an approach to synchronize nodes to access channel using CSMA/CA protocol. The approach helps in making a decision to schedule node at time t among the nodes. This approach results in reduction of collisions and increase overall efficiency.

Keywords- MANETs, GPSR, HDAR, Hole

Keywords- component; Machine Learning ; electrocardiogram; Naïve Bayes; Sequential Feature Selection; logical indexing

Keywords—CSMA/CA; Collision; Efficiency; Priority; MAC; Scheduling;

manets_1.pdf
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machine_learning_1.pdf
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csma.pdf
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