Volume-9 Issue-6, April 2020 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

B2453078219

IJITEE Journal — Mon, 19 Sep 2022 09:38:57 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. 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Advanced Deep Learning Framework for Stock Value Prediction
Sumanjit Das¹, Sarojananda Mishra²
¹Sumanjit Das, PhD Scholar Biju Patanaik University of Technology, Rourkela, Odisha, India.
²Sarojananda Mishra, Dept. of Computer Science and Engineering Indira Gandhi Institute of Technology, Saranga, Odisha, India
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 2358-2367 | Volume-8 Issue-10, August 2019 | Retrieval Number: B2453078219/2019©BEIESP | DOI: 10.35940/ijitee.J9074.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The main attractive feature to stock market is speedy growth of stock economic value in short yoke of time. The investor analyses the demonstration, estimated value and growth of organizations before investing money in market. The analysis may not be enough by using conventional process or some available methods suggested by different researches. In present days large number of stocks are available in market it is very difficult to study each stock by help of very few suggested foretelling methods. To know the anticipated stock value we need some advanced prediction technology for stock market. This paper introduce an advanced skillful method to plan and analyze the different organizers stock execution in market and prognosticate best suitable stock by predicting close price of stock. The projected arrangement is based on multilayer deep learning neural Network optimized by Adam optimizer. Recent 6 years (2010-2016) data of different organizations are applied to the model to demonstrate the skillfulness of the projected proficient method. From result it has been ascertained that the projected framework is best suited to all different data set of various sectors. The prediction error is very minimal as visible from outcome graph of framework.
Keywords: Stock market, deep learning, multilayer perceptron, ANN, forecasting, soft computing.
Scope of the Article: Deep Learning

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B7903129219

IJITEE Journal — Mon, 16 May 2022 11:39:21 +0000

Youth Policy: Russian Experience
Mikhail V. Afonin¹, Anna L. Krivova², Marina Ju. Martynova³, Larisa D. Rudenko⁴, Galina Y. Nikiporets-Takigawa⁵
¹Mikhail V. Afonin*, Russian State Social University, Moscow, Russia.
²Anna L. Krivova, Russian State Social University, Moscow, Russia.
³Marina Ju. Martynova, Russian State Social University, Moscow, Russia.
⁴Larisa D. Rudenko, P.G. Demidov Yaroslavl State University, Yaroslavl, Russia.
⁵Galina Y. Nikiporets, Takigawa, Russian State Social University, Moscow, Russia, Cambridge University, Cambridge, England, United Kingdom.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 5154-5198 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7903129219/2019©BEIESP | DOI: 10.35940/ijitee.B7903.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The relevance of this article is due to the growing role of young people in the political life of Russia and in the transformation of the social, political and economic spheres. Young people are the moving force behind all major processes in any country. Concerning Russia, it should be noted that young people make up a third of the population. The way the problems of Russian youth will be solved will determine the current vitality and future of the country. The practice of the last decades convincingly proves that in the rapidly changing world, those countries that can effectively form and productively use the innovative development potential, the main carrier of which is young people, will have strategic advantages.
Keywords: Youth, Youth Policy, Russian Experience, Forms of Participation, Political Consciousness.
Scope of the Article: e-Commerce

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A4760119119

IJITEE Journal — Wed, 23 Mar 2022 08:21:00 +0000

Synchronization Algorithms for Grid-connected Photovoltaic Systems under Grid Disturbances
A.Satif¹, L. Hlou², M. Mekhfioui³, H. Dahou⁴, R. Elgouri⁵
¹A. Satif*, Laboratory of Electrical Engineering and Telecommunications Systems, National School of Applied Sciences (ENSA), Kenitra, Morocco.
²L. Hlou, Laboratory of Electrical Engineering & Energy Systems, Faculty of Science Ibn Tofail University, Kenitra, Morocco.
³M. Mekhfioui, Laboratory of Electrical Engineering & Energy Systems, Faculty of Science Ibn Tofail University, Kenitra, Morocco.
⁴H. Dahou, Laboratory of Electrical Engineering & Energy Systems, Faculty of Science Ibn Tofail University, Kenitra, Morocco.
⁵R. Elgouri, Laboratory of Electrical Engineering and Telecommunications Systems, National School of Applied Sciences (ENSA), Kenitra, Morocco.
Manuscript received on December 17, 2019. | Revised Manuscript received on December 25, 2019. | Manuscript published on January 10, 2020. | PP: 705-710 | Volume-9 Issue-3, January 2020. | Retrieval Number: A4760119119/2020©BEIESP | DOI: 10.35940/ijitee.A4760.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The increasing employment of the photovoltaic solar energy demands suitable control techniques in order to ensure a stable and proper connection to the utility grid, especially when disturbances occur, for this reason, the Phase Locked Loop (PLL) technique is used. In this paper, the most commonly synchronization algorithms in grid-connected photovoltaic systems will be presented. The algorithms structures are described and analyzed in detail. The selected algorithms are developed in C-Code and simulated in MATLAB software from MathWorks. The behaviors of the methods are presented and explained under grid voltages disturbances (frequency variation, harmonics presence, voltage unbalances, etc.). The obtained results indicate that each of the tested PLLs has its own advantages and disadvantages, depending on the disturbances occurred into the three-phase utility grid.
Keywords: Tree-phase Utility Grid, Grid Synchronization, Phase locked loop
Scope of the Article: Algorithm Engineering

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F4090049620

IJITEE Journal — Mon, 07 Mar 2022 11:39:10 +0000

Performance Enhancement in Transmission Lines by Locating the Distributed Generators using Improved Particle Swarm Optimization Algorithm
S. Syed Musthafa Gani¹, S. Boobalan², S. Arun Prakash³, S. Faizal Mukthar Hussain⁴, A. MohamedIfthikar Ali⁵
¹S. Syed Musthafa Gani, Assistant Professor, Department of EEE, Mohamed Sathak Engineering College, Kilakarai
²S. Boobalan, Professor and Head, Department of EEE, Mohamed Sathak Engineering College, Kilakarai,.
³S. Arun Prakash, Assistant Professor, Department of EEE, University College of Engineering, Ramanathapuram.
⁴S. Faizal Mukthar Hussain, Assistant Professor, Department of CSE, Mohamed Sathak Engineering College, Kilakarai
⁵A. Mohamed Ifthikar Ali, Associate Professor, Department of ECE, Mohamed Sathak Engineering College, Kilakarai.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 1624-1628 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4090049620/2020©BEIESP | DOI: 10.35940/ijitee.F4090.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper indicates the nonlinear congestion mitigation in the transmission lines. The generator active power is rescheduled to achieve the congestion- transmission line network in electrical power system. The transmission congestion in the buses can be reconfigured by using the Improved Particle Swarm Optimization Algorithm. By locating the Distributed Generators in the identified weak buses the voltage profile and the power loss in the transmission system can be improved. The proposed solution’s achievability is tested by estimating the cost of congestion on different standard IEEE transmission line networks. The algorithm have the recompense such as the capability of local search and the capability of global search in the algorithms Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) algorithm respectively. Consistence with the calculation is tried by considering different contextual investigations including clog on the separate test transport arrange because of two-sided, polygonal exchanges and line blackouts.
Keywords: Artificial Intelligence, Improved Particle Swarm Optimization (IPSO), Available Transfer Capability (ATC), Power System Planning, Open Access Same-Time Information System (OASTIS), Economic Dispatch (ED) ,Distributed Generators (DG).

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F4570049620

IJITEE Journal — Wed, 02 Mar 2022 12:18:25 +0000

AVISAR – An Automated Framework for Test Case Selection & Prioritization using GA for OOS
Prashant Vats¹, Manju Mandot²
¹Prof. Manju Mandot, Professor and Director of Directorate of Jan Shikshan and Extension, J.R.N. Rajasthan Vidyapeeth (Deemed University).
²Mr. Prashant Vats, Ph.D. in CSE from Banas anasthali Vidyapith, Rajasthan.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 1556-1563 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4570049620/2020©BEIESP | DOI: 10.35940/ijitee.F4570.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper we have presented an automated unified approach called AVISAR for the testing of the Object-oriented Systems (OOS) by Test Case Prioritization (TCP) & their selection using Genetic Algorithm for the OOS. The testing of OOS has become a more challenging task as nowadays it has been widely accepted as a paradigm for large-scale system designing. In this research paper we have also studied the Genetic algorithms in relation to their applications for providing solutions to the various aspects of the OO Testing. As a result after implementing the tool AVISAR using GA’s it has proven to be useful in providing effective solutions to resolve the issues related to the OO Testing domain. Thus it can be used for reducing the efforts of the users for testing by efficient selection of effective test cases.
Keywords: Object Oriented Testing, Genetic Algorithm (GA), Fitness Function, Test Case Prioritization (TCP), Jenetics.

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F4569049620

IJITEE Journal — Sat, 26 Feb 2022 12:25:29 +0000

Novel Simulation and Optimization for the Production of Green Products I.E., Green Gasoline, Green Diesel and Green Waxes
Sourav Poddar
Dr. Sourav Poddar, Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.

Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 1428-1436 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4569049620/2020©BEIESP | DOI: 10.35940/ijitee.F4569.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: During the last decagon, there has been expanding international worry over the rise of anthropogenic CO2 discharge into the Earth’s atmosphere. The application of CO2 into a valuable asset is a major concern. The generation of syn gas and then usage of the syn gas into liquid fuel, seems to be one of the promising options in terms of industrial employment, as it offers several advantages: (a) reduction of CO2 , (b) conversion of gases, specially bio-gas, natural gas, LPG, and etc. and CO2 into syngas (c) producing syngas with H2 /CO2 ratio 1:1.9 to 1:2.1 which may further be used for the generation of valuable petrochemicals. The present research focusses on the gas to liquid conversion using the simulating software, Aspen Plus ®. The outcomes are then subjected to Design Expert ® for calculation of the optimal generation rate. The feedstocks used for the proposed present examination are bio-gas or pyro-gas, natural gas and LPG. The research scheme, gas to liquid conversion is carried out using three steps: (a) gas (feedstock) to syngas from the combination of dry reforming and steam reforming of methane, (b) Fischer Tropsch process to produce long chains of hydrocarbons and (c) usage of unconverted CO and H2 and other alcohol derivates in the CHP unit for the production of electricity. Amongst all the feedstocks natural gas production or generation is maximum followed by bio-gas or pyro-gas and then LPG. Due to non-available resources of natural gas and generation of GHG emission, for countries like India, bio-gas or pyro-gas can be used as a promising sustainable feedstock for reducing GHG emission and global warming. The outcomes of Aspen Plus ® of biogas or pyro-gas are then subjected to Design Expert ® for the prediction of the maximal production. It can be confirmed that with 6997.54 kg/h of biogas flowrate and 99.39% recycling of CO2 , the production of green gasoline, green diesel and green waxes are 565.24 (kg/h), 545.45(kg/h) and 642.68 (kg/h) respectively. The outcomes are in good agreement with the theories, thus proving the process to be a realistic one in nature. Therefore, bringing its viability for India in terms of reduction in CO2 emission and development of gas to liquid conversion process.
Keywords: Dry reforming of methane, Aspen plus ®, Green Products i.e., Green Gasoline, Green Diesel and Green waxes, CO2 Valorization, Fischer Tropsch

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F3889049620

IJITEE Journal — Sat, 26 Feb 2022 09:44:35 +0000

Energy Efficient Distributed Cooperative Cluster Based Communication Protocol in Wireless Sensor Networks
P. Durgadevi¹, T. Veeramakali², M. Sherine Glory³
¹Dr.P.Durgadevi*,Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel Tech University, Avadi.
²Dr. T. Veeramakali, Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel Tech University, Avadi.
³Ms. M. Sherine Glory, Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai
Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 754-758 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3889049620/2020©BEIESP | DOI: 10.35940/ijitee.F3889.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Theoretical Energy imperative in remote sensor systems has gotten an expanding research enthusiasm for late years. Radio abnormality, channel blurring and obstruction brings about bigger vitality utilization and inertness for packets transmission over remote channel. One late innovation that can possibly drastically increment the channel limit and lessen transmission vitality utilization in blurring channels is helpful correspondence. The expansion in the direct limit brings about diminished blunder rate. In this paper, one agreeable correspondence method is proposed by developing vitality effective sending and getting bunches for each jump. It comprises of two stages to be specific routing stage, selecting and-transmitting stage. In the routing stage, the underlying way between the source and the sink hubs is found. In the second stage, the hubs on the underlying way progress toward becoming group heads, which select extra contiguous hubs with most minimal vitality cost from their neighborhood then the bundle is transmitted from the sending bunch to the recently settled accepting bunch. The recreation comes about demonstrate that the decrease in mistake rate and the vitality funds convert into expanded lifetime of helpful systems.
Keywords: Theoretical Energy Imperative in Remote Sensor Systems has Gotten an Expanding Research Enthusiasm for Late years. Radio Abnormality,

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F3975049620

IJITEE Journal — Sat, 26 Feb 2022 09:24:01 +0000

Implementing an IoT based Remotely Controlled Antenna Positioning System
Manasa G R¹, Anusha Anchan², Santhosh G³
¹Manasa G R*, Assistant Professor, Department of Computer Science and Engineering, NMAMIT, Nitte, Karkala, Karnataka, India.
²Anusha Anchan, Assistant Professor, Department of Computer Science and Engineering, NMAMIT, Nitte, Karkala, Karnataka, India.
³Santhosh G, Assistant Professor, Department of Mechanical Engineering, NMAMIT, Nitte, Karkala, Karnataka, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 2730-735 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3975049620/2020©BEIESP | DOI: 10.35940/ijitee.F3975.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Wireless communication systems rely on antennas for signal reception. Proper placement of antennas is important to achieve successful wireless communication according to satellites / transmitters. Manual antenna changes are often risky in a way that usually results in unexpected accidents and can lead to death. To determine its position, the sensors are mounted on the antenna, and the motors change their position. Because the location of a transmitting station changes over time, antenna path must also be changed accordingly. This system will track the location of the antennas and provide new coordinates for the antenna positioning. Correctly position antenna is done by this system. We are therefore proposing an IOT based antenna positioning system that enables antennas to be placed remotely based on IOT. The paper explains how to implement the current and evolving technologies in Antenna Positioning. We can essentially use this device to place antennas respectively in the desired direction using IoT.
Keywords: IoT, GUI, Adafruit IO, Antennas.

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E2811039520

IJITEE Journal — Tue, 22 Feb 2022 12:09:01 +0000

Microstructure and Mechanical Properties of Welded Joints of AA6061-T6 Alloy by Cold Metal Transfer Method
V. P. Srinivasan¹, S. Balamurugan², Abhilash Arulvalan³, B. Devaraj⁴, P. Mowyanivesh⁵, S. Mukesh⁶, C. Raghunandan⁷
¹V.P.Srinivasan*, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
²S.Balamurugan, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
³Abhilash Arulvalan, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
⁴B.Devaraj, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
⁵P.Mowyanivesh, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
⁶S.Mukesh, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
⁷C.Raghunandan, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 23, 2020. | Manuscript published on April 10, 2020. | PP: 577-581 | Volume-9 Issue-6, April 2020. | Retrieval Number: E2811039520/2020©BEIESP | DOI: 10.35940/ijitee.E2811.049620
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Abstract: CMT bonding process were done on the 2 plates of 5 mm thick AA6061-T6 alloy by means of ER 4043 wire-electrode of Φ1.2 mm as the filler metal. This study concentrates the impact of a PWHT on the micro-structural and mechanical characteristics of an AA6061-T6 alloy specimen bonded by means of GMAW and by CMT. The welded samples here separated as as-welded and PWHT samples. The ASTM standard E8M-04 was used for cutting all samples in order to get the tensile strength and to measure the bonded joint elongation. The hardness across the bonded joints was measured by using Vickers micro-hardness testing setup. Scanned electron microscopy (SEM) is employed to analyse failure pattern of tensile test performed specimens.
Keywords: Microstructure, CMT Welding, PWHT.

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D1610029420

IJITEE Journal — Sat, 12 Feb 2022 09:34:15 +0000

Design of IMC Tuned PID Controller for First Order Process with No Delay
B. Mabu Sarif¹, D. V. Ashok Kumar², M. Venu Gopala Rao³
¹B. Mabu Sarif*, Research Scholar, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
²D. V. Ashok Kumar, Professor, Dept. of EEE, Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, Andhra Pradesh, India
³M. Venu Gopala Rao, Professor & Head, Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 261-265 | Volume-9 Issue-5, March 2020. | Retrieval Number: D1610029420/2020©BEIESP | DOI: 10.35940/ijitee.D1610.039520
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Abstract: IMC tuned PID controller’s present excellent set point tracking but sluggish disturbance elimination, because of introduction of slow process pole introduced by the conventional filter. In many industrial applications setpoint is seldom changed thus elimination of disturbance is important. The paper presents an improved IMC filter cascaded with Controller PID tuned by internal model principle (IMC-PID) for effective elimination of disturbance and healthy operation of non-regular first order process such as processes with no delay. The suggested filter eliminates the slow dominant pole. The present study shows that the recommended IMC filter produces excellent elimination of disturbance irrespective of where the disturbance enters the process and provides acceptable robust performance to model disparity in provisions of maximum sensitivity in comparison with other methods cited in the literature. The advantages of the suggested technique is shown through the simulation study on process by designing the IMC tuned PID controllers to maintain identical robustness in provisions of maximum sensitivity. The integral error criterion is used to estimate the performance. The recommended filter produces excellent response irrespective of nature of the process.
Keywords: Internal Model Control, filter form, Disturbance Elimination, Robustness, Integral Criteria, Non-regular Process.
Scope of the Article: Probabilistic Models and Methods

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