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 6 issue 3 (Theme: Computers, Internet of Thnigs and Technology)                            

A Novel Method for Blind Interaction with Mobile Using Android

S. Swathi

AbstractFor visually disabled people interacting with touch screens can be very difficult because of the lack of hardware keys. This paper deals with the problem of interaction between blind people and Mobile. It deals with the problem of absence of a platform (Operating System) through which a blind person can work on Mobile. Using this application, a blind person can work on Mobile without any one’s help.  

 

Comparison Of The Methods Of The Hierarchy With Non-Hierarchy In Cluster Analysis
Muhammad Rusli, I Ketut Putu Suniantara

Abstract Cluster analysis aims to classify objects based on similarity in characteristics between objects. The object will be classified into one or more clusters (groups) so that the objects that are in a cluster will have similarities with one another. This research aims to find the results of the cluster formed by using the average linkage method, complete linkage method, and the method of K-Means in classifying and how a comparison of Average linkage method of performance results, complete linkage method and the method of K-Means in classifying the quality of internal research lecturer STIKOM BALI. The results of research using the average linkage, complete linkage and K-means equally formed three clusters.
 

Image Fusion Based On Optimization Technique
Mahendra Kumar, Shiven Goyal

Abstract - In this paper a saras type-image-fusion technique using hybrid Curve let and SOMA is used. The method shows fusion of images and can be used for fusion of multi model image. It is concluded that fusion with advanced single levels offers better fusion quality. This method provides a comparative study between proposed & literature techniques and validation of the projected algorithm as Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE). Apart from the hybrid technique used, it is founded that the performance parameters PSNR, RMSE excelled as compared with the previous findings.


Modern machine learning approaches for robotic path planning

Shreyas J, Sandeep J

Abstract - Many years have passed since the first path planning algorithm was found. These algorithms have evolved a lot since then. Even the best of the path finding algorithms were incapable to give the ideal result which was needed to find the path. Especially in terrains where the algorithms couldn’t overcome the obstacle because that situation wasn’t predicted beforehand. The ideal path was found using trial and error methods after the unpredicted events led to the collision of the robot. This problem was resolved when the robots gained the ability to outperform itself in these situations by learning what went wrong on its own and making sure the exact same event doesn’t occur again. These machine learning algorithms emerged in the past decade and were continuously improvised and were perfected to have a very high success rate. In this survey of the path finding algorithms, the timeline and the working of algorithms and how these algorithms have developed and improvised over time can be seen. 

Keywords – Android, Text-to-speech, Speech-to-text, Speech recognition, Screen reader

Keywords—Hierarchical method; non-hierarchical method; cluster method; average linkage method; complete linkage method; K-means method

Keywords—Saras type image, Curve let transform, PSNR, RMSE, SOMA

Keywords— path-planning; machine-learning; robotics; Artificial intelligence; high-efficiency

hierarchy_vs_non-hierarchy_methods.pdf
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