https://mlnce.net/index.php/Home/issue/feed International Journal of Machine Learning and Networked Collaborative Engineering 2019-01-05T03:59:41+00:00 Dr. Vijender Kumar Solanki vijendersolanki@cmritonline.ac.in Open Journal Systems <p>International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) <strong>ISSN 2581-3242</strong> is a quarterly published, Open Access, peer-reviewed, international journal focuses on publishing authentic and unpublished quality research papers. This is a scientific journal which aims to promote quality and innovative research works, not limited to but focuses on the area of&nbsp; machine learning, collaborative engineering and allied areas. We publish original research articles, review articles and technical notes.</p> <p>The journal is registered with crossref&nbsp; <strong>10.30991/IJMLNCE</strong>. Each accepted manuscript shall be assigned a unique <strong>digital object identifier</strong>&nbsp; for identification. The abbreviated key title for our journal allocated by ISSN is &nbsp;<strong>Int. j. mach. learn. networked collab. eng.</strong> &nbsp;The journal appears&nbsp;in popular indexes like <strong>BASE (Bielefeld Academic Search Engine),&nbsp; CrossRef, CiteFactor, DRJI, Google Scholar, Index Copernicus, J-Gate, Portico, PKP-Index, ROAD, Scilit, Socolar. </strong>Our journals manuscript&nbsp; is also visible in ReserachGate &amp; Kudos.</p> <p>In this present era, the subjects like machine intelligence, machine learning and &nbsp;its associated domains are the first choice for the researchers and the industry peoples. In the past decade, the use of machine learning and its domain has drawn ample attention of the people which has generated a number of applications related to that area and hence it has become a very popular choice for the present day researchers. Machine intelligence or machine learning is also working towards improving the life style of the human beings nowadays. These are being used in various sectors like Healthcare, Space, Automation, Aviation industries and&nbsp;even in academia.&nbsp;</p> <p>With this insight, we are inviting you to consider <strong>IJMLNCE</strong> to publish your work. The Journal solicits latest research work carried out by researchers, academicians and industry practitioners in the domain of machine learning and collaborative engineering. It maintains a high standard in the term of similarity check and quality of paper. The originality of the work is highly appreciated. Each paper will be reviewed by the expert reviewers and in a multilayer approach. The journal editorial board believes in &nbsp;high ethical practices.</p> <p>The authors are invited to submit their unpublished manuscripts online only. The author will get final decision of manuscript <strong>within 06-12 weeks</strong> from the date of submission of manuscripts. Once the manuscript gets accepted, author will be asked to complete the copyright agreement. An e-mail communication is also sent to the author mail after verification of incorporation of all reviewers’ comments in term of their final camera-ready-paper; it will be published to the upcoming journal’s volumes. There are <strong>no publication fees; no article processing cost</strong> for publishing articles in this journal and the journal is open access<strong>.</strong>&nbsp;</p> https://mlnce.net/index.php/Home/article/view/62 IJMLNCE Editorial Note Volume No 02, Issue No 04 2019-01-05T03:59:41+00:00 Vijender Kr Solanki spesinfo@yahoo.com Vicente Garcia Diaz garciavicente@uniovi.es <p>Preface</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> 2019-01-02T08:03:18+00:00 ##submission.copyrightStatement## https://mlnce.net/index.php/Home/article/view/59 IoT Based Intelligent Vehicle Parking Solution System 2019-01-02T07:25:12+00:00 Vedant Chauhan vchauhan.chauhan2@gmail.com Shikhar Sharma sshikhar105@gmail.com Manju Khari manjukhari@yahoo.co.in <p><span style="font-family: Verdana, Arial, Helvetica, sans-serif;">W</span>ith rapid increase in population in urban cities, availability of parking space is real issue. This parking issue lead to traffic and encroachment of roads for parking. With implementation of smart cities is real time development, smart parking is integral part of this development. Intelligent parking system describe in this paper solve the parking issue and fits in the smart city development, this system is based on cloud-based parking system where user is able to get location of parking spot with helps sensors network and cloud computing. The user is updated with real time data of available parking spot near their destination, and they can choose the spot according to their convenience. The main components of the system are sensor layer, hardware layer, cloud layer and application layer. The sensor layer is controlled by Arduino board or other system on chip which manages the data collected by sensors, this data is sent to cloud through hardware layer cloud layer manages the data accordingly and data is sent to users’ application on the reception of request through application. This interconnection of all the layers is main aspect of IoT (Internet of Things). This system will help user to get the spot in hassle free and quick way.</p> 2018-12-28T00:00:00+00:00 ##submission.copyrightStatement## https://mlnce.net/index.php/Home/article/view/61 Domestic Mechanization System with IoT and Robotics 2019-01-02T07:26:03+00:00 Shakik Mahmud smahmud172174@bscse.uiu.ac.bd Mohammad Farhan Ferdous jbratrc2018@gmail.com Dip Chakraborty dipchakraborty71@gmail.com Lamiya Tasnim ltasnim172044@bscse.uiu.ac.bd <p>&nbsp;</p> <p>In this paper, we discuss home automation IoT based and we show three projects about IoT.&nbsp; IoT or internet of things is an upcoming innovation which is an arrangement of interrelated computing devices, mechanical and computerized machines, articles, creatures or individuals that are given one kind of identifiers and the capacity to exchange information over a system without expecting human-to-human or human-to-PC association. It's an achievement though it will change our whole world. New Horizons will begin in our lives by this. The premise of this research was to diminish the anguish of human. IoT based home mechanization can make the life an excessive amount of less demanding. In this research, we will attempt to interface the normal devices which are utilized as a part of a home. This paper is giving the design part of the point of the smart window, smart almirah, and smart bookshelf. One of the three projects is the smart windows system. It can be controlled in accordance with the weather conditions of the owner's house, and the house temperature, the proper balance of gas in the air. Using this system, the user will get comfortable weather at home and will be able to predict any external danger to the environment. And it can be done by a mobile phone or an internet-enabled device.</p> 2018-12-29T00:00:00+00:00 ##submission.copyrightStatement## https://mlnce.net/index.php/Home/article/view/55 DNA Based Storage: Introduction, Characteristics, Applications and Challenges 2019-01-02T07:27:02+00:00 Deepak Kumar Sharma dk.sharma1982@yahoo.com Shiv Kumar shivk.it.16@nsit.net.in Amit Kumar amitk.it.16@nsit.net.in <p class="p1"><span class="s1"><strong>Over the years, as humans have made progress, data has come to the forefront and has become one of the principal elements of life. No matter the field, all aspects of life are now dependent on data in one way or the other. Be it hospitals or financial institutions; sports teams or researchers, all operate on some form of data during their functioning. This ever-increasing dependency on data further leads to the need for its storage. The capability of present storage mechanisms is not able to keep up with the exponentially increasing demand. This along with other factors such as high setup costs, high maintenance charges, security, and accessibility are pushing towards an alternative avenue of storage. DNA or the code of life is very similar to the binary based data systems that we operate on, hence is being looked at, as the alternative to conventional methods. This field has seen massive amounts of developments in the recent past and is finding a strong footing. Its theoretical capability to store all the data ever created in a finger-sized device is one of the many factors, which makes it such an interesting field to study and know about. This paper describes how this domain of storage system(s) basically functions, the work is done in this field in the past, its advantages and limitations along with the challenges that this domain needs to overcome to become practically viable bringing a paradigm shift in computing.</strong></span></p> 2018-12-28T00:00:00+00:00 ##submission.copyrightStatement## https://mlnce.net/index.php/Home/article/view/50 A Machine Learning Approach for Speech Detection in Modern Wireless Communication Environment 2019-01-02T07:28:07+00:00 Shibanee Dash shibaneedash.3@gmail.com Mihir Narayan Mohanty mihir.n.mohanty@gmail.cm <p>Modern wireless communication has gained a improved position as compared to previous time. Similarly, speech communication is the major focus area of research in respective applications. Many developments are done in this field. In this work, we have chosen the OFDM modulation based communication system, as it has importance in both licensed and unlicensed wireless communication platform. The voice signal is passed though the proposed model to obtain at the receiver end. Due to different circumstances, the signal may be corrupted partially at the user end. Authors try to achieve a better signal for reception using a neural network model of RBFN. The parameters are chosen for the RBFN model, as energy, ZCR, ACF, and fundamental frequency of the speech signal. In one part these parameters have eligibility to eliminate noise partially, where as in other part the RBFN model with these parameters proves its efficacy for both noisy speech signals with noisy channel as Gaussian channel. The efficiency of OFDM model is verified in terms of symbol error rate and the transmitted speech signal is evaluated in term of SNR that shows the reduction of noise. For visual inspection, a sample of signal, noisy signal and received signal is also shown. The experiment is performed with 5dB, 10dB, 15dB noise levels. The result proves the performance of RBFN model as the filter.The performance is measured as the listener’s voice in each condition. The results show that, at the time of the voice in noise environment, proposed technique improves the intelligibility on speech quality.</p> 2018-12-28T00:00:00+00:00 ##submission.copyrightStatement## https://mlnce.net/index.php/Home/article/view/58 Study of Concurrency Control Techniques in Distributed DBMS 2019-01-02T07:29:13+00:00 Manoj Kumar Gupta manojkgupta5@gmail.com Rakesh Kumar Arora rka1211@gmail.com Bhoopesh Singh Bhati bhoopesh.cse@gmail.com <p>Concurrency control focuses on maintaining consistency and integrity of database through synchronized access. The complexity relating to concurrency control in a distributed context is very high as compared to centralized framework due to maintaining consistency within the multiple fragments / copies of the database. This paper consolidates and discusses various lock based concurrency control techniques for Distributed DBMS. The paper also presents a comparative study of various two phase locking based concurrency control techniques.</p> 2018-12-28T00:00:00+00:00 ##submission.copyrightStatement##