Volume-10 Issue-1, May 2021 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Thu, 13 Jan 2022 03:40:48 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-10 Issue-1, May 2021 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 A59660510121 https://www.ijrte.org/portfolio-item/a59660510121/ https://www.ijrte.org/portfolio-item/a59660510121/#respond Sat, 08 Jan 2022 10:55:45 +0000 https://www.ijrte.org/?post_type=portfolio&p=6251 The post A59660510121 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Three Fog Computing Based Variants of Congestion Control in ITS
Ananya Paul1, Kiton Ghosh2, Sulata Mitra3
1Ananya Paul*, Department of Computer Science and Technology, IIEST, Shibpur Howrah, India.
2Kiton Ghosh, Department of Computer Science and Technology, IIEST, Shibpur Howrah, India.
3Sulata Mitra, Department of Computer Science and Technology, IIEST, Shibpur Howrah, India. 
| Manuscript received on May 21, 2021. | Revised Manuscript received on May 28, 2021. Manuscript published on May 30, 2021. | PP: 333-348 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59660510121 | DOI: 10.35940/ijrte.A5966.0510121
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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 growth of vehicles and inadequate road capacity in the urban area trigger traffic congestion and raise the frequency of road accident. Therefore the need of drastically reducing traffic congestion is a significant concern. Advancement in the technology like fog computing, Internet of Things (IoT) in Intelligent Transportation Systems (ITS) aid in the more constructive management of traffic congestion. Three IoT based Fog computing oriented models are designed in the present work for mitigating traffic congestion. The first two schemes are vehicle dependent as they control traffic congestion depending upon the number of vehicles and their direction of movement across the intersections. The third scheme is environment dependent as the agent senses the environment and controls the sequence of green signal at different routes dynamically. The performances of the three schemes in ITS are analyzed along with the comparison of storage, communication and computation overhead. The efficacy of the schemes is studied theoretically and quantitatively. The quantitative performance of the three schemes is compared with five existing schemes. On the basis of the result of the comparison, it can be concluded that the proposed schemes are capable of alleviating congestion more optimally than existing schemes due to the substantial reduction in vehicle waiting time Traffic signal control, VANET, Congestion con-trol.
Keywords: The performances of the three schemes in ITS are analyzed along with the comparison of storage, communication and computation overhead.

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Ai Based Path Mopping Control f or Automatic Floor Cleaning Bot
Thanushree V M1, S Nanda Kishor2, G N Kodandaramaiah3
1V M Thanushree, B.Tech, Stream of Electronics and Communication Engineering, Sri Venkateshwara College of Engineering and Technology, Chittoor (A.P), India.
2Dr. S Nanda Kishor, Associate Professor, Department of ECE, Kuppam Engineering College, Chinna Boggupalle (A.P), India.
3Dr. G. N. Kodanda Ramaiah, Head of the Department of ECE, Kuppam Engineering College, Chinna Boggupalle (A.P), India.
Manuscript received on May 12, 2021. | Revised Manuscript received on May 31, 2021. | Manuscript published on May 30, 2021. | PP: 329-339 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A56700510121 | DOI: 10.35940/ijrte.A5670.0510121
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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: Computerized flooring cleaner is a compact robotics device that affords floor cleansing service in rooms and massive workplaces decreasing human hard work. essentially, like a robotic, it eliminates human error and gives cleansing pastime with masses extra performance. If we ease the floor manually then there’s an opportunity that the operator will leave a few elements of the ground. also due to the manual exertions concerned this is time-eating and annoying to ease the ground. additionally, in large places of work, the ground place is very massive and the human beings concerned there for cleaning motive can not easy it a bargain extra efficiently. that is the region the robot comes as a bonus. additionally, the robotic is small and compact in size. So we can elevate it and location it anywhere we will at the residence. additionally, in industries, the robot is a very good price as in assessment to manual hard work worried. the power, time-saving, and effectiveness make the robotic a smooth desire for cleaning the ground. 
Keywords: If We Ease The Floor Manually Then There’s An Opportunity That The Operator Will Leave A Few Elements Of The Ground.

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Data Dissemination Scheme for VANET using Genetic algorithm and Particle Swarm Optimization
Tahera Mahmood1, Tulika2
1Tahera Mahmood*, Department of Computer Science SHUATS, Prayagraj, (U.P.) India.
2Dr. Tulika, Assistant Professor, Department of Computer Science and Information Technology, Sam Higginbottom Institute of Agriculture Technology and Sciences, Allahabad (U.P), India.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 31, 2021. | Manuscript published on May 30, 2021. | PP: 322-328 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59700510121 | DOI: 10.35940/ijrte.A5970.0510121
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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: A vehicular ad hoc network (VANET) consist of moving vehicles connected via wireless technology e.g., Wireless Access in Vehicular Environment (WAVE) for the aim of exchanging information. Therefore data dissemination in VANET has become issue of debate for researcher. In VANET broadcasting play an important role. The aim of VANET is to ensure passenger safety through emergency message. With multiple objectives broadcast storm is assumed to be an NP-Hard problem. In this paper we propose DDV algorithm to solve broadcast storm problem. Fitness function has used to optimize the objective of proposed algorithm. The proposed algorithm producing better optimization results. We are considering a highway scenario in city with dynamic rotation, to evaluate the performance of the DDV algorithm we compare the result with Smart flooding techniques, MOGA (Multi Objective Genetic algorithm) [1] and EEADP. Our result show the better performance in terms of reduce the number of retransmission, increase the packet delivery ratio and provide better throughput. 
Keywords: VANET, Broadcasting, Genetic Algorithm GA, Partial Swarm Optimization (PSO), Geographical Area, Rate of Evaluation, Smart flooding, MOGA.

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A Study and Analysis of Machine Learning Techniques in Predicting Wine Quality
Mohit Gupta1, Vanmathi C2
1Mohit Gupta*, School of Information Technology and Engineering Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Vanmathi C, School of Information Technology and Engineering Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on May 12, 2021. | Revised Manuscript received on May 31, 2021. | Manuscript published on May 30, 2021. | PP: 314-319 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A58540510121 | DOI: 10.35940/ijrte.A5854.0510121
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Abstract: In today’s trend consumers are very much concern about the quality of the product in turn, Industries are all working on various methodologies to ensure the high quality in their products. Most of consumers judge the quality of the product based on the certification obtained for the product. In Earlier days, the quality is measured and validated only through human experts. Nowadays most of the validation tasks are automated through software and this ease the burden of human experts by assisting with them in predicting the quality of the product and that leads to greater a reduction of time spent. Wine consumption has increased rapidly over the last few decades, not only for recreational purposes but also due of its inherent health benefits especially to human heart. This chapter demonstrates the usage of various machine learning techniques in predicting the quality of wine and results are validated through various quantitative metrics. Moreover the contribution of various independent variables facilitating the final outcome is precisely portrayed. 
Keywords: Machine Learning, KNN, Random Forest, SVM, J48, Wine Quality.

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Architectural and Parametric Design Evaluation for Enhancing Adaptive E-Learning
Daramola Comfort Y.1, Akinpelu Samson. A2, Joshua Bature Hassan3
1Daramola Comfort Y., Department of Computer Science, Federal University Oye-Ekiti.
2Akinpelu Samson. A*, Department of Computer Science, Federal University Oye-Ekiti.
3Joshua Bature Hassan, Department of Computer Science, Federal University Oye-Ekiti.
Manuscript received on May 01, 2021. | Revised Manuscript received on May 31, 2021. | Manuscript published on May 30, 2021. | PP: 308-313 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A57730510121 | DOI: 10.35940/ijrte.A5773.0510121
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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: Learning is any technique that in living creatures prompts never-ending limit change and which isn’t solely a direct result of characteristic advancement of developing. The complexity associated with learning and the fact that it start from birth till death makes it a cumbersome procedure. It incorporates certainly more than reasoning: the whole character – resources, feelings, impulse, values and will. Many conventional approaches fail to inculcate the above parameters which increase the cumbersomeness of learning coupled with problems of assimilation. If we don’t have the will to learn, we won’t learn and if we have learned, we are truly changed by one way or another. The focus of this paper is to propose an architecture that was designed with special emphasis on enhancing adaptive e-learning. This architecture uses the learning style of learner to produce learning contents peculiar to such learner and as such difficulties associated with comprehension is totally aborted and thereby making learning easier. 
Keywords: Learning, Adaptive, E-Learning, Learning-Style, Knowledge.

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Harmonics Analysis and Enhancement of Power Quality in Hybrid Photovoltaic and Wind power System for Linear and Nonlinear Load using 3 Levels Inverter
Atul Kumar1, Imran Khan2
1Atul Kumar*, Department of Electrical Engineering, Azad Institute of Engineering and Technology, Lucknow (U.P), India.
2Dr. Imran Khan, Department of Electrical Engineering, Azad Institute of Engineering and Technology, Lucknow (U.P), India.
Manuscript received on October 23, 2021. | Revised Manuscript received on May 27, 2021. | Manuscript published on May 30, 2021. | PP: 296-307 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.D4915119420 | DOI: 10.35940/ijrte.D4915.0510121
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Abstract: The emergent use of non-conventional energy resources in electrical power grid has initiated new challenge for the service load as concern to voltage balance, power quality issues and effective energy operation. Solar/ wind hybrid RES deliberated as the furthermost promising sources. Nevertheless standalone operations of distributed energy sources such as solar and wind not make sure of reliable power production principally owing to the randomness over the solar irradiance and accessibility of the wind. Hence, a combination of wind and solar energy production configuration can plan a highly reliable source of electrical energy. In This article, multi-level inverter (3 levels inverter) based grid tied hybrid solar- wind energy system based on a 3 level inverter is presented with the mitigation of power quality problems. In this work, analysis on simulation model is conceded to determine source current and voltage and percentage of total harmonic distortion. In particular, the power quality analysis is performed in grid tied hybrid solar and wind electrical power system using 3 level inverter. 
Keywords: Harmonics, Solar, 3 Level Inverter, Wind Energy, Power Quality.

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Developing a Machine Learning Algorithm to Assess Attention Levels in ADHD Students in a Virtual Learning Setting using Audio and Video Processing
Srivi Balaji1, Meghana Gopannagari2, Svanik Sharma3, Preethi Rajgopal4
1Srivi Balaji, Meridian World School, Round Rock, United States of America.
2Meghana Gopannagari, Thomas Jefferson School of Science and Technology, Alexandria, United States of America.
3Svanik Sharma, Vandegrift High School, Leander, United States of America.
4Preethi Rajgopal, Kelley School of Business, Indiana University – Bloomington, Bloomington, United States of America.
Manuscript received on May 21, 2021. | Revised Manuscript received on May 28, 2021. | Manuscript published on May 30, 2021. | PP: 285-295 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59650510121 | DOI: 10.35940/ijrte.A5965.0510121
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Abstract: Over the past few years, numerous technological advancements have modernized and eased access to educational materials, improving overall learning experiences for students with ADHD despite the transition to remote learning. However, the majority of these improvements address comprehension and practice outside of the classroom without recognizing the need for engagement during a lesson. Students are more likely to retain higher amounts of information outside of class, if they have a strong understanding of the lesson during class. A back-end model combined with an engaging front-end user interface can enhance the standard of education for students with ADHD and help them achieve the same level of understanding they would have during an in-person lesson. This project aimed to address the remote learning experiences of students with ADHD by creating a model using machine learning to analyze audio and video clips of a live online lesson, detect distractions in the student’s environment, and use this data in tandem with an interactive user interface to engage students and enhance their remote learning experience. The two means of data collection employed in this model were audio and video analysis. This data was fed into separate convolutional neural networks with reinforcement learning architecture to identify distractions. A genetic algorithm was used to weigh the outputs of both neural networks and produce coefficients determining the weight of each factor. This was then used to determine the distraction level of the student. This model can be implemented in a virtual lesson between an instructor and a student with ADHD, to constantly monitor the attention level of the student. Findings of this research suggested that this model could help an instructor acknowledge and manage symptoms of ADHD – which may lead to distractions, such as impulsivity, hyperactivity and boredom – by modifying their curriculum to further engage the student. This research has the potential to fill the notable gap between technology and education, using technology to improve online educational quality for students with ADHD.
Keywords: ADHD, genetic algorithm, machine learning, neural networks, virtual education.

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Converting Traditional Water Supply Network Into 24×7, using Water GEMS to Optimize Design
Mukund M.Pawar1, Nitin P. Sonaje2
1Mukund M.Pawar*, Research Scholar, WIT, Solapur and Faculty, Shri Vithal Education & Research Institute, Pandharpur (Maharashtra), India.
2Dr. Nitin P. Sonaje, Principal, Government Polytechnic, Miraj (Maharashtra), India.
Manuscript received on May 19, 2021. | Revised Manuscript received on May 26, 2021. | Manuscript published on May 30, 2021. | PP: 280-284 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59370510121 | DOI: 10.35940/ijrte.A5937.0510121
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Abstract: Water is all-natural driving force. Entire world struggles to preserve it. Given that India is among the top 12 water poor countries, water wastage is a critical issue for us. India’s population is increasing day by day and thus the demand for water is continuously increasing. This growing demand can be met through an efficient water distribution network which can be designed using modern hydraulic software such as Water GEMS. Using the Water GEMS software Pandharpur city is selected to convert existing water supply system into 24 * 7 continuous water supply systems. The largest investment is the pipes used in the water distribution system. The design, modeling and optimization of pipes in water supply system from an economic point of view are very important. Therefore optimal pipe network design for converting existing network into 24×7 water supply system networks is carried out in this paper to reduce the cost using WaterGEM software. Study of the existing water supply network system for one zone (Ambika Nagar Zone-10) is initially carried out from the Pandharpur area. The effect on demand, head loss gradient, and pressure development of the forecasted population is studied. In addition, cost optimization of the pipe network for the proposed 24×7 water supply system is carried out using a genetic algorithms Darwin optimization approach. 
Keywords: 24×7 Water Supply System, Optimal Design, Darwin Designer, Water GEMS Software.

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Reduction of Power in General Purpose Processor Through Clock-Gating Technique
R. Prakash Rao1, P. Bala Murali Krishna2, S. Sree Chandra3, Shaik Fairooz4, P. Prasanna Murali5
1Dr. R. Prakash Rao*, Professor, Department of ECE, PACE ITS(Autonomous), Ongole (Andhra Pradesh), India.
2Dr. P. Bala Murali Krishna, Professor, Department of ECE, Chalapathi Institute of Technology, Guntur (Andhra Pradesh), India.
3S. Sree Chandra, Assoc. Professor, Department of ECE, Chalapathi Institute of Technology, Guntur (Andhra Pradesh), India.
4Dr. Shaik Fairooz, Assoc. Professor, Department of ECE, MREC(Autonomous), Maisammaguda, Secunderabad, T.S, India.
5Dr. P. Prasanna Murali, Professor, Department of ECE, KCIT, Markapur (Andhra Pradesh), India. 
Manuscript received on May 19, 2021. | Revised Manuscript received on May 29, 2021. | Manuscript published on May 30, 2021. | PP: 273-279 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59270510121 | DOI: 10.35940/ijrte.A5927.0510121
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Abstract: Now a days DC power supply plays very important role in the Electronic industry because for every electronic gadget DC power is required to operate it. Even though durable DC batteries are available in the market to operate the various electronic gadgets for more time, electronic designers are continuously concentrating more and more to reduce the power through the various new Technologies like increasing parallel operations, pipe line concepts [1] etc. To work such durable batteries more duration than the actual duration what they can give, in this work we are concentrating on the ‘clock-gating’ technique to reduce the power in the general purpose microprocessor. For every microprocessor clock is required. All operations of any processor are performed by the clock cycle. There are various blocks in the processor but all the blocks are not operated at a time while using it, some blocks in the off mode while other blocks are in the working mode. Hence in order to power off such blocks for a little while clock gating is used in this work. Wherever particular block is not operated, for that block clock is disabled by the clock gating technique. The main principle of clock getting is nothing but ANDing the processor clock with a gate-control signal. 
Keywords: DC Power, Electronic Gadgets, Clock Gating, General Purpose Microprocessor, Clock Cycle.

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Advancement in Sensor Technology in Shipping
N.I. Shaikh1, P.P. Kamble2, Siddharath M.T2
1N.I. Shaikh*, Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India.
2P.P. Kamble, Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India.
3Siddharath M.T, Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India. 
Manuscript received on May 20, 2021. | Revised Manuscript received on May 25, 2021. | Manuscript published on May 13, 2021. | PP: 269-272 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A59500510121 | DOI: 10.35940/ijrte.A5950.0510121
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Abstract: Shipping Industries is one of the oldest working industry in this world, but when it comes to going hand in hand with current technologies, maritime sector lags behind. Being the backbone of world trade, it can do wonders once it is digitalized. Modern technologies such as IoT which consists of sensor technology could help us make shipping efficient and sustainable. This paper reviews the existing literature on sensor technologies and its applications which could help us in empower efficient shipping. We would also deal with challenges this technology comes with and would discuss solution for it. This culmination of different ideas would help maritime industry to get a better angle on sensor technology or IoT in general. 
Keywords: Shipping; IoT; Sensor Technology; Digitalization; Maritime transport.

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