-22b9b34417bc6092a743aac 20220209065041531 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2021 10 1 Assistant Professor, Department of Mechanical Engineering, Government Engineering College, Hassan, India. Suresh Kumar. D Dr. Sanjeevamurthy Professor, Department of Mechanical Engineering, Sri Siddhartha Institute of Technology, Tumkuru, India. Dr. G. Mallesh Professor, Department of Mechanical Engineering, Sri Jayachamarajendra College Engineering, JSS S&T University, Mysore, India. Composite materials are gaining more importance in present-day engineering design and development activities because of their attractive mechanical properties [1-2] and are composed of Fibers, Matrix and Fillers. In the present research work Glass and Sisal are used as fibers, Epoxy resin is used as a matrix and different volume fractions of graphite is used as a filler to develop FRP composites using hand layup and bag molding process to study the Mechanical and Tribological characteristics as per ASTM standards. It is evident from the results that Mechanical properties are improved marginally compared to unfilled composites. Further, it is noticed from POD and three-body abrasive tests that the addition of the Graphite enhances the coefficient of friction with the reduction in wear loss. Due to environmental consciousness, interest in the use natural fiber are enhanced in different applications. A comparative study was conducted between synthetic (Glass) and natural (Sisal) FRP composites filled with graphite for automotive brake material. 05 30 2021 256 264 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5942.0510121 https://www.ijrte.org/portfolio-item/A59420510121/ Department of Electronics and Communication Engineering, Visakhapatnam, (Andhra Pradesh), India. G.Manmadha Rao D.N Raidu Babu Department of Electronics and Communication Engineering, Visakhapatnam, Andhra Pradesh, India. P.S.L Krishna Kanth Department of Electronics and Communication Engineering, Visakhapatnam, Andhra Pradesh, India. B. Vinay Department of Electronics and Communication Engineering, Visakhapatnam, Andhra Pradesh, India. V. Nikhil Department of Electronics and Communication Engineering, Visakhapatnam, Andhra Pradesh, India. Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal quality of signal. Rank ordered differences is used for detecting the impulse noise samples in speech and audio signals. Once the sample is detected as corrupted sample, that sample is replaced with rank ordered mean value and this rank ordered mean value depends on the sliding window size and neighbouring samples. This technique shows good results in terms of signal to noise ratio (SNR) and peak signal to noise ratio (PSNR) when compared with other techniques. It mainly used for removal of impulse noises from speech and audio signals. 05 30 2021 265 268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5943.0510121 https://www.ijrte.org/portfolio-item/A59430510121/ Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India. N.I. Shaikh P.P. Kamble Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India. Siddharath M.T Indian Maritime University Mumbai Port Campus Hay Bunder Road Sewri Mumbai (MH), India. 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. 05 30 2021 269 272 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5950.0510121 https://www.ijrte.org/portfolio-item/A59500510121/ Department of English, College of General Education and Languages, Thai-Nichi Institute of Technology, Thailand. Wipanee Pengnate Bundit Anuyahong Department of English, College of General Education and Languages, Thai-Nichi Institute of Technology, Thailand. Chalong Rattanapong Faculty of Business Administration, Rajamangala University of Technology Rattanakosin, Wang Klai Kangwon Campus, Thailand. This article presents trends and directions for language teaching instructors, especially in higher education. The objectives of this paper were to investigate the satisfaction of implementation of MOOCs in language teaching and to illustrate the change caused by disruptive technologies effected on behaviors and methods of language teaching-learning process. Due to Covid-19, the pandemic has shown a remarkably dramatic impact on Higher education. The term disruptive technology for e-Learning, therefore, become a common trend in educational system around the world with the rapid transition from traditional classes to online learning systems. Therefore, a robust and implemented approach aimed on improving and empowering the university staff should be created and developed to achieve the highest effectiveness of students’ learning process.In this study, the theory of teaching-learning activity pedagogy and trends in language learning are being proposed. These theories explain and provide conceptual frameworks for Higher Education (HE) to clearly see the interactions and consequences of the new educational paradigm according to disruptive innovation. 05 30 2021 242 245 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5955.0510121 https://www.ijrte.org/portfolio-item/A59550510121/ Meridian World School, Round Rock, United States of America. Srivi Balaji Meghana Gopannagari Thomas Jefferson School of Science and Technology, Alexandria, United States of America. Svanik Sharma Vandegrift High School, Leander, United States of America. Preethi Rajgopal Kelley School of Business, Indiana University – Bloomington, Bloomington, United States of America. 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. 05 30 2021 285 295 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5965.0510121 https://www.ijrte.org/portfolio-item/A59650510121/ Department of Computer Science and Technology, IIEST, Shibpur Howrah, India. Ananya Paul Kiton Ghosh Department of Computer Science and Technology, IIEST, Shibpur Howrah, India. Sulata Mitra Department of Computer Science and Technology, IIEST, Shibpur Howrah, India. 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. 05 30 2021 333 348 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5966.0510121 https://www.ijrte.org/portfolio-item/A59660510121/ Department of Computer Science SHUATS, Prayagraj, (U.P.) India. Tahera Mahmood Dr. Tulika Assistant Professor, Department of Computer Science and Information Technology, Sam Higginbottom Institute of Agriculture Technology and Sciences, Allahabad (U.P), India. 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. 05 30 2021 322 328 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5970.0510121 https://www.ijrte.org/portfolio-item/A59700510121/ Department of Electrical Engineering, Azad Institute of Engineering and Technology, Lucknow (U.P), India. Atul Kumar Dr. Imran Khan, Khan Department of Electrical Engineering, Azad Institute of Engineering and Technology, Lucknow (U.P), India. 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. 05 30 2021 296 307 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4915.0510121 https://www.ijrte.org/portfolio-item/D4915119420/ Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. Tushar Deb Nath The existing traffic administration policy is not worthy enough to tackle the density of movement in Bangladesh. This study proposes an advanced Internet of Things (IoT) based road traffic administration system to resolve the problem. All the smart lamp posts of road crossings handle four factors, i.e., number of cars, activation time, waiting time, and emergency signal of each lane. This research uses an automatic video processing method to count the number of cars on the road. In order to process the video mask, R-CNN is used, which is a combination of the faster R-CNN that performs object detection (class + bounding box), and Fully Convolutional Network (FCN) results into a pixel border. Modern statistical methods are also used, such as multiple regression analysis, cluster analysis, and factor analysis. For handling emergency traffic situations, a new activation function was proposed and named the RT activation function. Factor analysis with principal component analysis (PCA) allowed in reducing the number of variables from elevens to five. The linear regression explains 90.2% of the variance in the data. This research considers R, R-square, adjusted R-square with 0.950, 0.902, and 0.409, values respectively. The results analysis ensures that the performance of the proposed schema is good enough to apply in the road of Bangladesh. 05 30 2021 60 66 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5232.0510121 https://www.ijrte.org/portfolio-item/E5232019521/ Assistant Professor, Department of Civil Engineering, Sri Venkateswara University, Tirupati (A.P), India. Sumabala. T Dr. N. Munilakshmi Assistant Professor, Department of Civil Engineering, Sri Venkateswara University, Tirupati (A.P), India. The color of dye aqueous solution which cannot be removed by coagulation was selected to decolourize it through adsorption process by using novel adsorbents namely Flocs of Ferric Sulphate, Aluminium sulphate and Manganese sulphate. In order to know efficacy of adsorbents, batch sorption studies and equilibrium studies were conducted. Good color removal was achieved with Ferric sulphate at pH::4 and Manganese Sulphate at pH::10, which will be applicable to reduce the industrial dye effluent pollution. Equilibrium data applied to Langmuir Isotherm, was best fitted, stating monolayer formation and kinetic data applied to pseudo second order equation, was well fitted, stating that chemisorption is the rate limiting step. 05 30 2021 56 59 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F5527.0510121 https://www.ijrte.org/portfolio-item/F5527039621/