SMART MOVES JOURNAL IJOSCIENCE <h2 data-fontsize="18" data-lineheight="27"><strong>SMART MOVES JOURNAL IJOSCIENCE</strong></h2> <p><strong>IJOSCIENCE (International Journal Online of Science<em>)</em> is a peer-reviewed journal that publishes monthly. IJOSCIENCE has been granted ISSN No 2455-0108 in the year 2015.</strong></p> <h3 class="fusion-page-title-bar fusion-page-title-bar-none fusion-page-title-bar-left">Publication Model</h3> <p> </p> <h4><strong>IJOSCIECE is an Open Access journal and we don’t receive any grant by any organization, hence we ask our authors to pay Article Processing Charge (APC). APC covers the expense of the administrative cost, the peer review process, publication processes, online publication, hosting the website, online security (virus attack), etc. An author will be asked to pay the publication fee along with the acceptance letter.</strong></h4> <p>Authors paying fees do not mean that the process would be curtailed short or they can get their publication fast. IJOSCIENCE does not compromise with its quality standards. We do not accept any fee unless a manuscript meets its set benchmarks or standards. This fee is only charged to meet the publication expense requirements. </p> <p>See the <a href="">Call for Paper</a> webpage for the Article Processing Fee information.</p> <p><strong>Ownership Statement</strong></p> <p>SMART MOVES JOURNAL IJOSCIENCE iis published by <a href="">SMART MOVES</a> publications, Bhopal, M.P., India. <strong>SMART MOVES</strong> (organisation name) is a registered organisation in the state of Madhya Pradesh, India. Smart Moves is a publishing house that was established in the year 2012. Mr Rajeev Tiwari (name of a person) is the proprietor/owner of Smart Moves. SMART MOVES is a for-profit publishing organisation.</p> <p><strong>About SMART MOVES</strong></p> <p>Please find the link to our publisher website <a href="">SMART MOVES</a></p> <p>Smart Moves is publishing research papers in order to enable online platforms to reach the international research fraternity. Smart Moves also publishes books in both formats, ebooks and print mode.</p> <p>We are publishing four open-access online journals Please find details below- </p> <p> 1-<a href=""></a></p> <p>2-<a href=""></a></p> <p>3-<a href=""></a></p> <p>4-<a href=""></a></p> SMART MOVES en-US SMART MOVES JOURNAL IJOSCIENCE 2582-4600 <p align="justify">IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a <a href="">Creative Commons CC BY License </a>that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms. </p> <div id="deed-conditions" class="row"> <div id="deed-conditions" class="row"> <h3>Under the following terms:</h3> <ul class="license-properties col-md-offset-2 col-md-8" dir="ltr"> <li class="license by"> <p><strong>Attribution</strong> — You must give <a id="appropriate_credit_popup" class="helpLink" tabindex="0" title="" href="" data-original-title="">appropriate credit</a>, provide a link to the license, and <a id="indicate_changes_popup" class="helpLink" tabindex="0" title="" href="" data-original-title="">indicate if changes were made</a>. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.<span id="by-more-container"></span></p> </li> </ul> </div> <div class="row"> <ul id="deed-conditions-no-icons" class="col-md-offset-2 col-md-8"> <li class="license"><strong>No additional restrictions</strong> — You may not apply legal terms or <a id="technological_measures_popup" class="helpLink" tabindex="0" title="" href="" data-original-title="">technological measures</a> that legally restrict others from doing anything the license permits.</li> </ul> </div> </div> Feature Selection using Multi-Objective Clustering based Gray Wolf Optimization for Big Data Analytics <p><strong>Although numerous efforts have been made to develop feature selection framework which is efficient in Big Data technology, complexity of processing big data remains a significant barrier. As a result, the computational complexity and intricacy of big data may block the data mining process. The feature selection method means, a required pre-processing approach to minimize dataset dimensionality for great advanced features and classifier performance optimization. In order to increase performance, feature selection&nbsp;are regarded to constitute the core of big data technologies. In recent years, many academics have moved their focus to data science and analytics for application scenarios leveraging integrating tools of big data. People take quite some time to engage, when it comes to big data. As a consequence, in a decentralized system with a high workload, it is crucial in making feature selection dynamic and adaptable. Multi objective optimal strategies for feature selection are provided in this work. This research adds to the creation of a strategy for enhancing feature selection efficiency in large, complex data sets. In this paper, a multi-objective clustering-based gray-wolf optimization algorithm (MOCGWO) is proposed for classification problems. Five datasets were used to show the robustness of proposed algorithm. The result analysis was compared with other optimization methodology such as GWO and PSO. This shows efficacy of MOCGWO algorithm.</strong></p> Aakriti Shukla Dr. Damodar Prasad Tiwari Copyright (c) 2022 Aakriti Shukla, Dr. Damodar Prasad Tiwari 2022-11-08 2022-11-08 1 7 A Review on Voltage Source Inverters Used in The Power Enhancement of Microgrids <p><strong>Three key issues that the traditional power system is currently facing are the progressive depletion of fossil fuels, poor energy efficiency, as well as environmental contamination. These issues can be solved by using renewable energy resources (RERs), but several technical and governmental concerns must be resolved before these green generation techniques can be properly integrated into distribution systems. Thus, the voltage source inverters often used boost power quality in microgrids and then also lessen concerns associated to microgrid stability were examined inside this paper.</strong></p> Nithya Subramani Prof. Achie Malviya Copyright (c) 2022 Nithya Subramani, Prof. Achie Malviya 2022-11-08 2022-11-08 1 5 Enhancement of Heat Transfer Rate from Fin Using Thermal Analysis Through Geometrical Optimization <p><strong><em>Thermal analysis has been performed in this work on a different designs of fin in order to investigate the temperature distribution, heat flux, and thermal stresses using ANSYS workbench. For this work total nine designs of fin have been created such as rectangular plate fin, rectangular plate fin with hole, rectangular perforated fin, rectangular plate fin with slot, rectangular plate with pin inserted fin, rectangular plate inserted pin with hole fin, triangular plate fin, triangular plate with perforated fin &amp; triangular plate fin with slot. Aluminum 1060 is used as a material for all designs of fin, The 13 W of heat supply at the bottom of the fin have been applied which is equal to the power supply at ambient temperature of 22 <sup>o</sup>C. Results show that the 48.76 <sup>o</sup>C is the lowest temperature for the rectangular plate inserted pin with hole fin which is 8.9% lower than the plane rectangular plate fin and the 51.67 <sup>o</sup>C is the lowest temperature for the rectangular plate fin with hole which is 5.5% lower than the plane rectangular plate fin while the 0.0378 W/mm<sup>2</sup> is the lowest temperature for the triangular plate fin with slot which is 3.5 times greater than the plane rectangular plate fin. The 7.3 degree is the highest temperature difference for the rectangular perforated fin which is 4.2 times higher than the plane rectangular plate fin and the 0.0276 MPa is the lowest thermal stress for the rectangular plate fin with hole &amp; triangular plate with perforated fin which is 5.74 times lower than the plane rectangular plate fin. Hence the rectangular plate inserted pin with hole fin is suggested for better heat transfer.</em></strong></p> Vivek Kumar Ashish Muchrikar Copyright (c) 2022 Vivek Kumar, Ashish Muchrikar 2022-10-20 2022-10-20 1 10 10.24113/ijoscience.v8i9.492 Design and Implementation of a Three-Phase Converter in a Solar PV System <p><em>A model of a solar panel array with variable irradiance and temperature is included in the study described here. Because each array receives a different amount of irradiation, the output varies. The system's output power has shifted as a result of this fluctuation. The work done here is done to adapt temperature and irradiance fluctuations in the solar panels and to increase the power output produced by the renewable energy source. With the suggested modulation technique, which has a simplified computational methodology, the levels of a multilevel inverter can be any number. This approach would be preferable for a solar system with variable input variables that generates consistent and effective output power.</em></p> Satyendra Kumar Prakash Narayan Tiwari Copyright (c) 2022 2014 2022-10-13 2022-10-13 1 7 10.24113/ijoscience.v8i10.490 Anomaly Detection for IOT/Cloud-Based Model in Fog Computing Using Machine Learning <p>We know that the key technologies that are involved in the Internet of Things are wireless sensor networks and cloud computing, big data, embedded systems, and the internet. It is a giant network with connected devices. These devices gather and share data. But many IoT devices have poor security and cybercriminals are taking benefit of this. The two techniques cloud and fog computing both combined can be used to transfer secure data in IoT devices as cloud computing provides storage of data on cloud servers and fog computing offers us various services to access data and provides support for cloud servers. This research work presents various techniques to detect an intruder and anomaly detection in IoT-based cloud systems. Also, a comparison of all the techniques used to detect intruders and anomalies are compared on various parameters like accuracy, performance, efficiency, precision, recall, the detection rate.</p> Suraj Nayak Shadab Pasha Khan Copyright (c) 2022 Suraj Nayak, Shadab Pasha Khan 2022-07-28 2022-07-28 8 12 10.24113/ijoscience.v8i7.489 CFD Simulation of HVAC System in a Building using ANSYS - Fluent <p>The aim of the study is to simulate the functionality of a HVAC system in different situations, summer and winter time, using specialized software ANSYS-Fluent. A 2D building model was realized and simulating the internal conditions represented the main elements of the study. There are studied the indoor air temperature and air velocity in different conditions. The results are presented as graphs/plots and spectra of interest parameters. HVAC system functionality simulation using ANSYS-Fluent is providing important results for the studied scenario.</p> <p>The study aimed to simulate HVAC system functionality in different situations, summer and winter time, using specialized software ANSYS-Fluent. The realization of 2D building model and simulation of external and internal conditions it represents the main elements of simulation. As general conclusion, it can be stated with certainty that the recently implemented HVAC system reaches its task and provides adequate comfort conditions inside the amphitheater during both seasons.</p> <p>The average velocities, are slightly bigger during summer season, due to higher airflows required. However, this effect doesn’t affect the occupants, because they are lower than the comfort ones. HVAC system functionality simulation using ANSYS-Fluent is providing important results for the studied scenario. This type of analysis can be used for pre-examination of the future projects in order to obtain functional systems and verify the all requirements for the HVAC installation. The results can be used in further analysis for determining the correlations to the main comfort indicators, PMV and PPD.</p> Imran Ansari Atul Shankar Suman Copyright (c) 2022 Imran Ansari, Atul Shankar Sumanb 2022-08-07 2022-08-07 1 7 10.24113/ijoscience.v8i7.488 Sparse Convolution Neural Network for Image Denoising <p>In this paper, Convolution neural network (CNN) is used to enhance&nbsp;the efficiency and adaptability of image noise reduction. To increase de-noising efficacy, the component enlarges the receiving area of the region employing dilated and traditional convolutions in the sparse representation stage. The feature augmentation phase uses system global and regional features to increase image de-noising interpretation. The Sparse representation comprised of dilated and generalized convolutions is given to improve de-noising acceleration&nbsp;and efficiency. The reconstructive stage is then employed to collect noise information completely. Finally, employing&nbsp;the residue learning approach, this phase manages to generate&nbsp;the noise free&nbsp;image. The result analysis shows the efficiency of proposed framework over existing works.</p> Dheeraj Kumar Chaturvedi Saima Khan Copyright (c) 2022 Dheeraj Kumar Chaturvedi, Saima Khan 2022-05-30 2022-05-30 1.5 1.5 Overview on the Constructional Dynamics Types of Load on a Flyover <p><strong>Flyovers or grade separators are bridges built over a traffic intersection to allow people to literally ‘fly over’ the traffic. Flyovers were required on ring roads meeting arterial interchanges, over rivers (“where they are called bridges") or across railway lines. In the past, some flyovers were constructed in different urban locations in India.Thus it is necessary to construct the flyover which is sustainable. Quality and structural design matters a lot, otherwise constructing a flyover is just the waste of money. This paper present the overview of flyover, the constructional procedure of flyover as well as the types of load on the flyover.</strong></p> Abhishek Kundan Dr. Sharad Kumar Soni Copyright (c) 2022 Abhishek Kundan, Dr. Sharad Kumar Soni 2022-04-28 2022-04-28 32 36 10.24113/ijoscience.v8i4.485 Designing UPFC with Controller Driving Dual Converter Topology in a Grid Integrated PV System <p>Renewable energy source (RES)-based electricity generating plants are expensive and complicated, requiring controls to deal with the energy input's intermittent renewables and fluctuation. If the grid interface of these devices is not monitored and maintained within the norms, it presents a problem of providing electricity to the utilities. Thus researchers have discusses several grid interface and control strategies for RES-based generators. This paper discusses the technique of improving power quality by using UPFC (Unified Power Flow Control) having&nbsp; PI controller.</p> Ashok Kumar Nand Lal Shah Copyright (c) 2022 Ashok Kumar, Nand Lal Shah 2022-04-28 2022-04-28 22 31 10.24113/ijoscience.v8i4.484 Comparative Analysis of Electric Traction System with PI Controller and PSO Optimization Algorithm <p><strong>Electrical traction refers to a system that uses electrical power for traction, such as railways, trams, trolleys, and other vehicles. The term "track electrification" refers to the type of power source that used power electric locomotive systems. It could be AC, DC, or a hybrid supply. This paper provides the comparative analysis of electric traction system with PI controller and PSO Optimization Algorithm</strong></p> Abhinav Kumar Tiwrai Prof. Vivek Koshta Copyright (c) 2022 Abhinav Kumar Tiwrai, Prof. Vivek Koshta 2022-04-20 2022-04-20 12 21 10.24113/ijoscience.v8i4.482 Analysis of LVDS and HVDS for its Effects at the Loading Points <p><strong>Power is a crucial component for India's economic development. Advancement of productivity expansion will be contingent on a financially and financially successful electricity industry capable of attracting additional investment. Generating capacity inside the electric power industry are strongly reliant on the off-taker's, transportation, and distributing organizations' reputation. In generally, electromagnetic electricity is generated in power plants that are positioned far from where the users live. It is then distributed to users via a vast transmission and distribution. The modern power generation system is based on Alternating Current (AC). The purpose of this article is to conduct a comparison analysis of the results at load locations in the voltage and low power distribution channels.</strong></p> Anshul Bhanu Tiwari Prof. Priyank Shrivastava Dr. Manju Gupta Copyright (c) 2022 Anshul Bhanu Tiwari, Prof. Priyank Shrivastava, Dr. Manju Gupta 2022-04-20 2022-04-20 1 11 10.24113/ijoscience.v8i4.481