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

International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)
ISSN : 2278 7917

All articles published in IJASCSE are open access and freely available online, immediately upon publication.

The main type of peer review used by IJASCSE is Double-blind.

ALL ACCEPTED papers will be reviewed for possible publication in ELSEVIER SSRN.

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Publications

International journal of advanced studies in Computer Science and Engineering (IJASCSE) maintains all published papers in Open Access Database which provides open access of all listed papers to universities, researchers and scholars. It is based on OAI-PMH protocols which help to index the research papers worldwide. All Issues published are dedicated to best practices on ethical matters, errors and retractions. The prevention of publication malpractice is one of the important responsibilities of the editorial board. Any kind of unethical behavior is not acceptable, and plagiarism is not tolerated in any form. Our ethic statements are based on Elsevier recommendations and COPE's Best Practice Guidelines for Journal Editors.

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IJASCSE Volume 9 Issue 08
A Practical Approach for Verification of Graph Transformation with Description Logic
Author:
Mohamed Chaabani; Department of Computer Science LIMOSE Laboratory University of Boumerdes, Algeria.
Co-Author (s) :
Mohamed Mezghiche; Department of Computer Science LIMOSE Laboratory University of Boumerdes, Algeria
Keywords:
Graph transformation; verification; Description logics; knowledge base.
e-Mail:
chaabani@univ-boumerdes.dz
Abstract::
Graphs and visual models play a central role in the modeling and meta-modeling of software systems, these models are specified using a modeling formalism, in a high-level abstraction independent of the platform, in which the focus is on the concepts rather than the implementation. This allows keeping the model, transporting it, and then transforming it into code. Several graph transformation tools have been developed to ensure efficient transformations. This transformation requires a process of verification and validation to guarantee the correction of this transformation process, of which there are different ways to checking that a software system achieves its goal. In computer science, formal methods are techniques that allow rigorous reasoning, using semantic and formal methods, to prove their validity with respect to a certain set of properties. In this sense, description logics are promising candidates for encoding graph structures and reasoning about graph transformations, they are privileged target to operationalize graph transformation tools because they have the mechanisms of reasoning or inference.
An Internet of Things (IoT) based Healthcare Monitoring System
Author:
Mohd Atif; Department of Computer Science and Engineering, School of Engineering Sciences and Technology Jamia Hamdard, New Delhi, India .
NoneCo-Author :
Harleen Kaur and Bhavya Alankar; Department of Computer Science and Engineering, School of Engineering Sciences and Technology Jamia Hamdard, New Delhi, India
Key words::
Internet of things (IoT), Radio-frequency identification (RFID), Wireless Sensor Networks (WSN), MicroElectrical Mechanical Systems (MEMS).
e-Mail:
harlleen.unu@gmail.com
Abstract::
Internet of Things has developed a health tracking device to be the closing blocks. The aim of an effective IoT healthcare gadget is to provide the current time to track patient medical conditions, prevent critical situations and improve the comfort of the clever IoT environment. The fields of technological expertise and electronics have fused into the Internet of Things (IoT), one of the most exemplary technological progresses.
An Automated LSTM-based Air Pollutant Concentration Estimation of Dhaka City, Bangladesh
Author :
Rehnuma Karim; Department of Environmental Science, Jahangirnagar University, Savar, Bangladesh.
Co-Author: :
None.
Keywords:
Air pollution, LSTM, Dhaka city; PM 25, PM 10
e-Mail:
karim@gmail.com
AI Approach to Analyze Sentiment Classification
Author :
Vani Kupar; Department of Information Technology St.Xaviers's College, Jaipur.
Co-author :
None.
Keywords:
0000000000
e-Mail:
vani@stxaviers.ac.in
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