SMART MOVES JOURNAL IJOSCIENCE 2021-10-25T11:20:47+00:00 JOHN Open Journal Systems <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> Modelling and Simulation of Transformer Tests under Dynamic Testing 2021-10-25T11:20:47+00:00 Ramesh Kumar Patel Madhu Upadhyay <p><strong>Large power transformers are the most important equipment for the power grid. Their reliability not only affects the availability of electricity in the supply area, but also affects the economic functioning of an energy supplier. The main objective of this work of the development of the transformer testing simulation model on the MATLAB/SIMULINK environment. The designing aspect shall comprise the generator-based and grid-based testing of the transformer and associated results on the same in the SIMULINK. And the methodology shall study the impacts on the grid-connected devices due to testing of the transformers in the grid-based method. The study concluded that there is effectively no effect on the parameter evaluation of OC and SC tests by either source. However, the practical conditions would require grid-based testing that allows a greater range of transformers of various ratings to be tested with high current capability. The impact of fault on the grid can be easily evaluated through location of fault, duration of fault, and dip if occurred. The testing should follow proper timing to avoid such disturbances on the grid. This leads to the rescheduling of the other approved outages or Short Circuit tests.</strong></p> 2021-10-25T00:00:00+00:00 Copyright (c) 2021 Ramesh Kumar Patel, Madhu Upadhyay Application of Optimization and Machine Learning for Sentiment Analysis 2021-10-25T10:58:52+00:00 Manitosh Chourasiya Prof. Devendra Singh Rathod <p>Sentiment analysis is called detecting emotions extracted from text features and is known as one of the most important parts of opinion extraction. Through this process, we can determine if a script is positive, negative or neutral. In this research, sentiment analysis is performed with textual data. A text feeling analyzer combines natural language processing (NLP) and machine learning techniques to assign weighted assessment scores to entities, subjects, subjects, and categories within a sentence or phrase. In expressing mood, the polarity of text reviews could be graded on a negative to positive scale using a learning algorithm.</p> <p>The current decade has seen significant developments in artificial intelligence, and the machine learning revolution has changed the entire AI industry. After all, machine learning techniques have become an integral part of any model in today's computing world. However, the ensemble to learning techniques is promise a high level of automation with the extraction of generalized rules for text and sentiment classification activities. This thesis aims to design and implement an optimized functionality matrix using to the ensemble learning for the sentiment classification and its applications.</p> 2021-10-25T00:00:00+00:00 Copyright (c) 2021 Manitosh Chourasiya, Prof. Devendra Singh Rathod Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications 2021-10-14T08:28:53+00:00 Roshnee Adlak Pooja Meena <p><strong>With the growth of wireless sensor networks (WSN), new technologies like the Internet-of-Things (IoT) are being created. There may be challenges that come because when implementing these application areas in practice. The primary issue is energy utilization while data transmission between these resource restricted sensors. In this work, we present a cluster-based routing protocol for IoT to anticipate energy utilization. Furthermore, for cluster head selection and cluster updation, we presented a multi-population ensemble particle swarm optimizer. The simulation was carried out using the MATLAB platform and demonstrates its superiority over different approaches.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Roshnee Adlak, Pooja Meena Performance Analysis of UPQC Architecture at Different Load Conditions 2021-09-15T13:41:21+00:00 Sikandra Kumar Mandal Nishi Singh <p><strong>The UPQC has the ability to improve the network quality at the installation site in electrical distribution networks or industrial electrical networks. The main objective of this thesis is to design a system to improve the network quality with a simplified architecture to support reactive power as well as to improve the active power available for load connections and to improve the efficiency of the system controls mentioned above. From this work, it was deduced that by developing and the inverter system with an control strategy in SVPWM, the device are proposed to improve the quality of the network can serve this goal with better results in the terms of performance and the efficiency. In this architecture can also be used in the hybrid systems, in making it more reliable. The designed system is also suitable for the delivery of different types of loads, such as non-linear load, symmetrical load, and asymmetrical load.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Sikandra Kumar Mandal, Nishi Singh A Review Characterization of Some Material Oxides using Ultrasonic Techniques 2021-09-14T06:05:56+00:00 Mohini Kuldevi Dr. Sanjeev Kumar Srivastava <p><strong>Several technological advances have begun in the industry today. With more advances comes a greater risk of errors. Ultrasound techniques are one of the best known methods for detecting defects and increasing efficiency. There are many variations of this technology and each has its own application depending on the needs of the situation. This paper provides an overview of general ultrasound technology and also describes the characterization of materials using ultrasound testing.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Mohini Kuldevi, Dr. Sanjeev Kumar Srivastava Fault Analysis using SFCL in the Convertor System at the Load Line 2021-09-14T06:05:58+00:00 Suman Baghel Sanjeev Jarring <p><strong>Among many renewable energy sources, solar energy is considered one of the most promising resources for large-scale electricity generation. Here propose resistive SFCL if a fault occurs in a simple low voltage (LV) network. To assess the impact of SFCL in the power system under study, the space-time approach is used to evaluate the short-circuit current in force and spurious control strategies are suggested to achieve the goal. The results complement the feasibility of the proposed A-ACO-based rationalization control for transmission activity according to the limiting circuit and fault current analyzer. The second model of the bastard chassis concludes that the chassis with residual current limiting circuit and analyzer reduces the expansion of the residual current and prevents the voltage from dropping to zero, that no artificial and temporal innovation is used as before. Intelligence-based computer procedures further shorten the working time, which also makes the frame more efficient, as the voltage is restored to its typical value in a short time if the test frame is played for 1 second in a MATLAB climate / SIMULINK. The time taken by the ACO algorithm to restore normal operating conditions in the line was 0.197 seconds, 0.206 seconds and 0.27 seconds for LLLG, LLG and LG errors, respectively. </strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Suman Baghel, Sanjeev Jarariya Distributed Signal Processing Algorithms for Wireless Sensor Networks 2021-09-14T06:06:00+00:00 Ashwini S Chiwarkar <p><strong>Wireless Body Area Networks (WBAN), in particular in the field of wearable health monitoring system (WMB), such as electromagnetic cardiograms (ECG) data collecting system via WBANs in e-health applications, is becoming increasingly important for future communication systems. Compressive sensing (CS), on the other hand, has been shown to consume less power compared classic transform-coding-based approaches. We propose a new low-rank sparse deep signal recovery algorithm for recovering ECG data in the context of CS (Compressive sensing) because the spatial and temporal data collected by a WBAN have some closely correlated structures in certain wavelet domains e.g., the discrete wavelet transform (DWT) domain</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Ashwini S Chiwarkar, Dr. K. B. Khanchandani AI Based system Performance Enhancement Fed by BESS with grid Integration 2021-09-14T06:06:02+00:00 Salman Ahmed Khan Prof. Sanjeev Jarariya <p><strong>The electric lattice should have the generation ability to satisfy the needs of power consumers. The point of this examination is to research how the force limit and situation of a battery energy stockpiling framework influence the force quality in a frail force lattice with variable loads. The system performance is expected to be improved by designing a compensator in line with the variable loads and whose control system is guided by artificial intelligence (AI) based techniques and algorithms. The grid performance enhancement shall be done in terms of power factor and active power improvement with stable outputs. The analysis has been focused on the low tension line (local loads) after the grid connection where the system is also driving the electric drive and reactive loads at the high tension line. The effect has been studied on of 400V phase to phase load line. The infers that the BESS framework is made effective for driving the heaps having improved dynamic force yield at its terminal. The voltage accessible has been made less mutilated to 3.07% and the THD level in current yield has also come down to 2.93%.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Salman Ahmed Khan, Prof. Sanjeev Jarariya A Review on Security Aspects and Countermeasures for Cloud Computing 2021-09-14T06:06:05+00:00 Rajat Maheshwari <p><strong>For large-scale companies or people that desire a range of system services at a cheap cost, cloud computing is now the most popular phenomena to use. Personal information is frequently kept in a public cloud that is open to the public. This fundamental raises a number of concerns about cloud providers' flexible services, including confidentiality, persistence, and endurance. The paper aims to better understand cloud components, security concerns, and dangers, as well as developing solutions that might help minimise cloud vulnerabilities. It is a well-known truth that the cloud has been a viable hosting platform since 2008; nevertheless, the view of cloud security is that it requires major changes in order to achieve higher rates of adaptability at the corporate scale. Many of the difficulties affecting cloud computing need to be rectified immediately. The industry has made tremendous progress in combating cloud computing risks, but there is still work to be done to reach the level of maturity that traditional/on-premise hosting has.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Rajat Maheshwari A Novel Biologging Tag that Minimizes the Hydrodynamic Loading on Marine Animals 2021-09-14T06:06:07+00:00 Aarushi Tiwari <p><strong>Although biologging tags, which are externally attached sensor packages deployed on marine animals, have become essential conservation tools, a core issue with current tag designs is that they are rarely tested for hydrodynamics and may generate substantial hydrodynamic loading (drag and lift forces) on animals. This may cause tags to impede animal physiology, give rise to injuries at the site of attachment, and cause tags to relay unrepresentative data. This study aims to design a new biologging tag form that houses the DTAG3 electronics and reduces the total drag and lift induced on marine animals. One starting model (GPS Phone Tag referred to as Model 0), three iterations, and the final design (Model D), were constructed using CAD software. They were tested with Computational Fluid Dynamics (CFD) simulations to obtain and analyze the drag and lift force. All models were tested at speeds between 1-5 m/s, with 400 trials. The Model D includes a narrow elliptical shape to maintain laminar boundary layers, a pointed tail shape to avoid flow separation, canards for frontal downforce, tabs to reduce form drag, streamlined hydrophones, and dimples to delay flow separation. The CFD simulation results demonstrated that Model D reduced drag by up to 56% and lift by upto 86% compared to Model 0. These results show the potential benefit of this design in reducing the impact of biologging tags on the behavior and energetics of marine animals, and in providing an unbiased and holistic view of the animal behavior for conservation management actions.</strong></p> 2021-08-28T00:00:00+00:00 Copyright (c) 2021 Aarushi Tiwari CMOS Implementation of 5T SRAM with Low Power Dissipation 2021-08-19T12:11:28+00:00 Rajesh Kumar Swati Gupta <p><strong>SRAM is a very fast memory with low power consumption. The main objective of this work is to perform a 64-digit SRAM with 90 nm innovation. Execution depended on a granular perspective. SRAM's base module is similar to an N-MOS inverter, flip-flop, and semiconductor. We design this module according to the configuration rule of the ? format. Using Harvard technology, SRAM can easily retrieve information from memory. To create advanced rational circuits, it is important to see how an SRAM is assembled and how it works. The bottom line is that with 0.12 micron 90nm technology, we are developing a 5T SRAM and we can read and write. It is a fundamental part of a computer's central processing unit. RAM is a building block made up of several circuits. The 64-bit SRAM reader was developed with MICROWIND and DSCH2. With the MICROWIND program, the developer can design and simulate an integrated circuit at the physical description level. DSCH2 allows switching of digital logic design</strong>.</p> 2021-08-19T00:00:00+00:00 Copyright (c) 2021 Rajesh Kumar, Swati Gupta