IJMLNCE Editorial Note Volume No 02, Issue No 04

Abstract

Preface

The International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) with ISSN: 2581-3242is in a clear stage of expansion.The journal now appears in popular indexes such as BASE (Bielefeld Academic Search Engine), CrossRef, CiteFactor, DRJI, Google Scholar, Index Copernicus, J-Gate, Portico, PKP-Index, ROAD, Scilit and Socolar. After two years of hard work we are proud to present the sixth volume of the journal, Volume No-02 Issue No-04, with other five high quality works written by international authors and covering different aspects related to machine learning and collaborative engineering.

Chauhan et al. [1] published a work entitled “IoT Based Intelligent Vehicle Parking Solution System”.In this paper, authors present a vehicle parking solution based on the Internet of Things through four different layers to compose the parking system: sensor, hardware, cloud and application. The main idea is that users are updated in real time on the available spaces near the destination allowing them to choose the one more suitable for their needs.

Mahmud et al. [2] published a work entitled “Domestic Mechanization System with IoT and Robotics”. In this work, authors discuss home automation based on the Internet of Things focusing on three different projects: a smart window, a smart almirah and a smart bookshelf. They pay special attention to the smart window, which can be controlled in accordance with the weather conditions, the house temperature and the proper balance of gas in the air.

Sharma et al. [3] published a work entitled “DNA Based Storage: Introduction, Characteristics, Applications and Challenges”. This study describes how the domain of knowledge of storage systems based on how the DNA works, since it is a viable alternative for conventional methods. They review the past, the current state of the art, with the advantages and drawbacks, and they also explore different challenges that would be interesting to overcome in the future.

Dash and Mohanty [4] published a work entitled “A Machine Learning Approach for Speech Detection in Modern Wireless Communication Environment”. Authors propose a technique that improves the intelligibility of speech quality in noise environments. To that end, authors propose the use of different elements like an OFDM modulation based communication system, a neural network model of RBFN and different parameters such as energy and fundamental frequency.

Gupta et al. [5] published a work entitled “Study of Concurrency Control Techniques in Distributed DBMS”. In this paper, authors present and discuss various lock-based concurrency control techniques for distributed data base management systems. They also show a comparative study of various two phase locking based concurrency control techniques. The focus is on proposing a proper concurrency control technique to maintain the integrity of database systems.