-22b9b34417bc6092a743a70 20220209052443933 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 Research Scholar, Department of Computer Science, Karnataka State Ak kamahadevi Women’s University, Bijapur (Karnataka), India. Daneshwari Mulimani Aziz Makandar Research Scholar, Department of Computer Science, Karnataka State Ak kamahadevi Women’s University, Bijapur (Karnataka), India. Video offers solutions to many of the traditional problems with coach, trainer, commenter, umpires and other security issues of modern team games. This paper presents a novel framework to perform player identification and tracking technique for the sports (Kabaddi) with extending the implementation towards the event handling process which expands the game analysis of the third umpire assessment. In the proposed methodology, video preprocessing has done with Kalman Filtering (KF) technique. Extended Gaussian Mixture Model (EGMM) implemented to detect the object occlusions and player labeling. Morphological operations have given the more genuine results on player detection on the spatial domain by applying the silhouette spot model. Team localization and player tracking has done with Robust Color Table (RCT) model generation to classify each team members. Hough Grid Transformation (HGT) and Region of Interest (RoI) method has applied for background annotation process. Through which each court line tracing and labeling in the half of the court with respect to their state-of-art for foremost event handling process is performed. Extensive experiments have been conducted on real time video samples to meet out the all the challenging aspects. Proposed algorithm tested on both Self Developed Video (SDV) data and Real Time Video (RTV) with dynamic background for the greater tracking accuracy and performance measures in the different state of video samples. 05 30 2021 1 6 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5589.0510121 https://www.ijrte.org/portfolio-item/A55890510121/ Ph.D., Engineering, Faculty of Engineering, Lincoln University College, Malaysia. Thu Ya Mon Janani Selvam Faculty of Engineering, Lincoln University College, Petaling Jaya, Selangor Darul Ehsan, Malaysia. In modern-day construction industry, cold-formed steel channels have been more interested as the conventional structural materials in place of hot-rolled steel members in order to reduce the weight of beams and girders without reducing their strength. Cold-formed steel becomes extensively used as structural and non-structural materials in building construction and engineering presentations. Various types of buckling behaviors usually govern the design strength of cold-formed steel channel sections. Because of their complex behaviors, the design guides for cold-formed steel are insufficient to be provided. This leads the questions to investigate the governing modes of failure of cold-formed steel built-up sections in both horizontal and vertical profiles. This article reviews the recent researches on cold-formed steel built up columns of diverse geometric shapes and connections under axial compression load. The objective is to summarize various modes of buckling in each built-up column. At the end of the study, the results are compared in detail through their geometric sections and provide recommendation for further studies. 05 30 2021 7 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5593.0510121 https://www.ijrte.org/portfolio-item/A55930510121/ Department of Electrical Engineering, G D Goenka University, Gurugram (Haryana), India. Ashutosh Yadav Archana Kurukshetra University, Gurugram (Haryana), India. The designing of maximum power point tracking (MPPT) controller is an integral part of the PV array system to ensure a continuous supply of energy in dynamic environmental conditions. The most challenging part here is to design a model that can track the maximum point irrespective of variations in environmental conditions and its parametric variations. The model designed in this article combats both the challenges as it is based on reinforcement learning with fractional-order. The application of Deep Q-learning makes the model parametric free and once the model trained can be implanted in a different scenario and run effectively. The amalgamation of fractional-order aids in the process by reducing the tracking time, oscillation around the peak, and total harmonic distortions. The model is well tested on standard conditions and has successfully achieved the desired results. Also, the proposed design is compared against various existing comparative algorithms to showcase its effectiveness in tracking time, THD, and maximum power. The design is also tested on the real data set, from the solcast where the test region is New Delhi, the capital of India. This region is taken as it faces one of extreme climatic condition and also being the second-highest most populated state faces an acute shortage of power throughout the year. The results have demonstrated that the model can produce maximum power even in the least solar irradiance conditions. 08 30 2019 44 53 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5631.0510121 https://www.ijrte.org/portfolio-item/A56310510121/ Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India. Dr. Geetha Ramani J Swapna S Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India. Selwyn Paul P Department of Mechanical Engineering, SNS college of Technology, Coimbatore, India. Sowmiya A Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India. This paper clarifies about the smart assistive shoes for visually-impaired individuals. Our undertaking expects to build up a gadget that would fill in as a directing help to them. It centers around planning a gadget for visual weakened (or visually impaired) individuals that would assist them with traveling freely and furthermore without any difficulty. One of the biggest problems that the visually impaired ones face is traveling. Because they walk in the indoors and outdoors which they are not aware of the data about the obstacles around them. The venture comprises of the smart shoes that alarms visually impaired individuals over hindrances dividing their ways and could help them in travelling with less crash. We will include a vibration framework which will demonstrate them about the area of hindrance and the item is predominantly founded on sensor innovation Sensors are used in order to find the hindrance. Arduino UNO is used to control the entire system. So the system will be more effective as well as simple. It mainly targets the visually challenged people all over the world. 05 30 2021 12 15 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5647.0510121 https://www.ijrte.org/portfolio-item/A56470510121/ Liberal & Arts College, Anyang University, South Korea. Byeongtae Ahn Recently, the casualties of automobile traffic accidents are rapidly increasing, and serious accidents involving serious injury and death are increasing more than those of ordinary people. More than 70% of major accidents occur in drowsy driving. Therefore, in this paper, we studied the drowsiness prevention system to prevent large – scale disasters of traffic accidents. In this paper, we propose a real – time flicker recognition method for drowsy driving detection system and drowsy recognition according to the increase of carbon dioxide. The efficiency of the drowsiness prevention system using these two techniques is improved. 05 30 2021 67 72 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5652.0510121 https://www.ijrte.org/portfolio-item/A56520510121/ Professor, Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli (Tamil Nadu), India. P. Arumugam V. Kadhirveni Research Scholar, Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli (Tamil Nadu), India. R. Lakshmi Priya Assistant Professor, Department of Statistics, Dr. Ambedkar Government Arts College, Vyasarpadi, Chennai (Tamil Nadu), India. Manimannan G Assistant Professor. Department of Statistics, TMG College of Arts and Science, Chennai (Tamil Nadu), India. The present study predicts, cross validate and classify the data of COVID-19 based on four machine learning algorithm with four major parameters namely confirmed cases, recoveries, deaths and active cases. The secondary sources of database were collected from Ministry of Health and Family Welfare Department (MHFWD), from Indian State and Union Territories up to March, 2021. Based on these background, the database classified and predicted various machine learning Algorithm, like SVM, k NN, Random Forest and Logistic Regression. Initially, the k-mean clustering analysis is used to perform and identified five meaningful clusters and is labeled as Very Low, Low, Moderate, High and Very High of four major parameters based on their average values. In addition the five clusters are cross validated using four machine learning algorithm and affected states were visualized with help of prediction and probabilities. The different machine learning models achieved cross validation accuracy of 88%, 97%, 91% and 91%. . Delhi, Uttar Pradesh and West Bengal were Moderately Affected States, Assam, Bihar, Chhattisgarh, Haryana, Gujarat, Madhya Pradesh, Odisha, Punjab, Rajasthan and Telangana are Low Affected States, wherein Tamil Nadu, Kerala, Andhra Pradesh and Karnataka are highly affected States. and Maharashtra the Very Highly Affected State. Rest of the States and Union Territories has Very Low affected Covid-19 Cases is clearly identified. 05 30 2021 16 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5659.0510121 https://www.ijrte.org/portfolio-item/A56590510121/ Final year B.COM International Finance Student, Department of Professional Studies, Christ (Deemed to be University), Bengaluru (Karnataka), India. Gayathri P Pillai Arjun Pillai Final year B.COM International Finance Student, Department of Professional Studies, Christ (Deemed to be University), Bengaluru (Karnataka), India. This paper examines the efficiency of the Indian Stock Markets (NSE) during the time of COVID. It demonstrates the impact on the market on the announcement of two major events that is the declaration of COVID as a Public Health Emergency Of International Concern (PHEIC) on 30th January 2019 and the day when Prime Minister Narendera Modi declared first lockdown in India, 24th March 2019. The study uses the Event Study methodology to determine the efficiency of the markets. The study found that the markets were in fact inefficient during the period under study and that there were numerous opportunities to make abnormal profits. The study also conducted a sector wise comparison to analyze the impact of the above mentioned events and found a major difference in the way each sector was affected by the news, indicating different levels of efficiency in the semi strong form of market. The results of this research helps one to understand investor behavior and biases and the different opportunities one could make use of, in order to make abnormal profits. 05 30 2021 21 29 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5667.0510121 https://www.ijrte.org/portfolio-item/A56670510121/ B.Tech, Stream of Electronics and Communication Engineering, Sri Venkateshwara College of Engineering and Technology, Chittoor (A.P), India. V M Thanushree Dr. S Nanda Kishor Associate Professor, Department of ECE, Kuppam Engineering College, Chinna Boggupalle (A.P), India. Dr. G. N. Kodanda Ramaiah Head of the Department of ECE, Kuppam Engineering College, Chinna Boggupalle (A.P), India. 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. 05 30 2021 329 339 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5670.0510121 https://www.ijrte.org/portfolio-item/A56700510121/ Professor, Department of Civil Engineering, CMR Col-lege of Engineering and, Medchal, Hyderabad (Telangana), India. K.Mohan Das K Baskar Professor, Department of Civil Engineering, CMR college of engineering and, Medchal, Hyderabad (Telangana), India. C.Selinravi Kumar Associate Professor, Department of Civil Engineer-ing, Malla Reddy Engineering College, Medchal, Hyderabad (Telangana), India. B.Karthik Chary Assistant Professor, Department of Civil Engineer-ing, CMR college of engineering and, Medchal, Hyderabad (Telangana), India. This thesis details experimental work and fi-nite part simulation of concrete beams retrofitted with carbon fiber strengthened compound (CFRP).The objectives of this study were to analyze the behavior of retrofitted beams to develop fi-nite part model describing the beams, supportive the fi-nite part model against the experimental results and eventual-ly investigation the influence of chemical compound resins(GP, ISO, Epoxy) on the sweetening of strengthening of retrofitted beams. The experimental results square measure performed to analyze the behavior of beams designed in such approach that either flexural or shear are going to be expected. The beams rectangle measure loaded at exploitation 2 pur-pose bending till cracks square measure developed. The beams were then blank and retrofitted with CFRP. Finally the beams were loaded till failure. The ANSYS program is employed to de-velop finite part models for simulation of behavior of beams. 05 30 2021 30 38 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5690.0510121 https://www.ijrte.org/portfolio-item/A56900510121/ Research Scholar, Department of Electrical Engineering, Andhra University Visakhapatnam (A.P), India. Million Alemayehu Bedasso Dr. R. Srinu Naik Assistant Professor, Department of Electrical Engineering Andhra University, Visakhapatnam (A.P), India. In order to eliminate active and reactive power losses in the power system, this paper proposes TOPSIS and DE algorithm for determining the best location and parameter settings for the Unified Power Flow Controller (UPFC). To mitigate power losses, the best UPFC allocation can be achieved by re-dispatching load flows in power systems. The cost of incorporating UPFC into the power system. As a consequence, the proposed objective feature in this paper was created to address this problem. The IEEE 14-bus and IEEE 30-bus systems were used as case studies in the MATLAB simulations. When compared to particle swarm optimization, the results show that DE is a simple to use, reliable, and efficient optimization technique than (PSO). The network’s active and reactive power losses can be significantly reduced by putting UPFC in the optimum position determined by TOPSIS ranking method. Index Term: Differential Evolution (DE); Particle Swarm Optimization (PSO); Unified Power Flow Controller (UPFC). 05 30 2021 126 131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5702.0510121 https://www.ijrte.org/portfolio-item/A57020510121/ Technical Account Manager, Navvis Healthcare, St. Louis, USA. Ravindra Kumar The introduction of Artificial Intelligence has improved operations in almost every sector, industry, and part of human life. The use of AI has been vital in the department of justice, recruitment by organizations, facial recognition by police, and school admissions. The aim of introducing AI algorithms in various fields was to reduce human bias in decision-making. Despite the progress, there are ethical concerns that the AI algorithms also exhibit biases. The main reason behind the claim is because human developers are in charge of training data used by the algorithms. There are areas where the issue of biases affects human life directly and can do damages to a person, physically or emotionally. Some examples are college admissions, recruitment, administration of justice at the courts, public benefits systems, police, public safety, and healthcare. There are high chances that the development process introduced biases in artificial intelligence algorithms, knowingly or unknowingly, during any area mentioned above. The paper provides background knowledge on AI bias and possible solutions to solve the problem. 05 30 2021 54 55 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5719.0510121 https://www.ijrte.org/portfolio-item/A57190510121/ Associate Professor, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupati, India. D. Damodaram In this work, novel cooperative communication strategies like Decode and Forward based relay schemes, joint maximum likelihood signal detection in combinational Multiple Input Multiple Output (MIMO) cooperative relay cognitive networks are used. The joint cooperative signal detection using Maximum-Likelihood (ML) detector at each relays, and associated path links improves the quality of services at the destination node, which can be dynamically altered using different relay combinations and associated iterative computational complexity accumulated during ML detection. Here the relay performs ML decoding and transmit the detected symbols to the destination and also to the multiple antennas equipped for cooperative communication. The same ML detection at the destination combines the MIMO based diversity to narrow down the error probability among different orthogonal transmissions. The combination of iterative signal detection and relay assisted decoding scheme shows superior error rate performance when compared to non-iterative hard decoded signal detection. The simulations results proved the influence of MIMO assisted cooperative communication and the associated performance penalty gaps that come with imperfect channel state information at the destination node. 05 30 2021 39 43 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5720.0510121 https://www.ijrte.org/portfolio-item/A57200510121/ General Manager of Intelligent Services of Elevators EST. Makkah State, Saudi Arabia Raed Alshaddadi Electronic commerce has been reshaping the aspects of businesses and social life over this period of years. This is made possible with the constant innovation of information system (e.g. website, mobile application) and the global computer network (i.e. internet). There are a number of studies that emphasize on the benefits of adapting this strategy. However, though the benefits of this strategy may well overshadow the issues. The adoption of this strategy is not widely used for the small medium enterprise, opposed to large enterprise. Hence, this research study aims to underline the value and provide recommended guide for applying e- commerce for an small medium enterprise (SME) company. Saudi Perfumes & Cosmetics company located in the Kingdom of Saudi Arabia (KSA) was adapted as the case study. Quantitative research methodology was adopted as the primary techniques using online survey, alongside sources from books, articles, journals and web contents are used as the secondary data. It was found that the company is facing various issues when using direct selling method (e.g. time consuming, difficulty to understand) and the respondents from this survey believes that applying e-commerce would help to resolve this issues. It was concluded that using an off the shelf application provided by Shopify service is the best option. This is given the rationale of having the software provided by the service provider to support both web and mobile application in a single developed application. Therefore, saving cost and development time. 05 30 2021 73 90 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5725.0510121 https://www.ijrte.org/portfolio-item/A57250510121/ Research Scholar, Dept. of Electrical and Electronics Engineering, Sri Venkateswara University, Tirupati (A.P), India. Vasavi. C Dr. T. Gowri Manohar Professor, Dept. of. Electrical and Electronics Engineering, Sri Venkateswara University, Tirupati (A.P), India Smart grid is the most significant topic in power system due to numerous benefits. Smart grid is the integration of distributed generation. DG plays an important role in different configurations either in grid connected mode or islanded mode. Multiple configurations will result in fault currents this may lead to damage to the existing protective devices. In this paper Fuzzy is used to optimally locate DG and Jaya a new optimization technique is adapted to size the Fault current limiter. Controlled Impedance Fault Current Limiter (CI-FCL) is used to reduce the magnitude of fault current and also avoid false tripping of protective devices. A program is developed in MATLAB 2017Ra to test the IEEE 33 and 69 bus distribution systems the results are compared with the analytical PSO method. The results shows the effectiveness of Jaya Algorithm and also reduces the computational time and no. of iterations. 05 30 2021 91 99 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5740.0510121 https://www.ijrte.org/portfolio-item/A57400510121/ Mathematics and Computing, Delhi Technological University, Delhi, India. Abhinav Sanghi Aayush Mathematics and Computing, Delhi Technological University, Delhi, India. Ashutosh Katakwar Mathematics and Computing, Delhi Technological University, Delhi, India. Anshul Arora Faculty, Mathematics and Computing, Delhi Technological University, Delhi, India. Aditya Kaushik Faculty, Mathematics and Computing, Delhi Technological University, Delhi, India. The existing supply chain for the pharmaceutical industry is obsolete and lacks clear visibility over the entire system. Moreover, the circulation of counterfeit drugs in the market has increased over the years. According to the WHO report, around 10.5% of the medicinal drugs in lower / middle income countries are fake and such drugs may pose serious threats to public health, sometimes leading to death. Keeping these threats in mind, in this paper, we propose a blockchain-based model to track the movement of drugs from the industry to the patient and to minimize the chances of a drug being counterfeit. The reasons for using blockchain technology in our work include its immutability property and easy tracking of an entity in the blockchain. Through this proposed model, the manufacturer would be able to upload the details corresponding to a drug, after which it will be sent for approval to the Government. Thereafter, hospitals and pharmacies, based upon their requirements, can request the approved drugs. In the future, if a patient wants some medication, then he or she has to request it on the blockchain network. The request will be sent to the nearest hospital/pharmacy and thereafter, the patient can collect the medication. To implement this model, we have used Hyperledger fabric due to the presence of many auto-implemented features in it. Our implementation of the proposed blockchain based model highlights that the model can successfully detect any drug being counterfeit. This will be beneficial for the users getting affected with counterfeit drugs. Moreover, with the proposed model, we can also track the movement of the drug beginning from the manufacturer right up to the patient consuming that drug. Index Terms: Blockchain, Counterfeit Drugs, Drugs Tracking, Fake Medicines, Health Care. 05 30 2021 100 109 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5744.0510121 https://www.ijrte.org/portfolio-item/A57440510121/ Department of Computer Science, IPS Academy, Institute of Engineering and Science, Indore, India. Pratik Jain Ravikant Kholwal Department of Computer Science, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India. Muskan Patidar Department of Computer Science, IPS Academy, Institute of Engineering and Science, Indore, India. The Intrusion Detection System sends alerts when it detects doubtful activities while monitoring the network traffic and other known threats. In today’s time in the field of Cyber security Intrusion Detection is considered a brilliant topic that could be objective. But it might not remain objectionable for a longer period. For understanding Intrusion Detection, the meaning of Intrusion must be clear at first. According to the oxford’s learners dictionary “Intrusion is the act of entering a place that is private or where you may not be wanted”. For this article, here it defines intrusion as any un-possessed system or network festivity on one (or more) computer(s) or network(s). Here is the example of a faithful user trying to access the system taking more than the usual trial counts to complete his access to the particular account or trying to connect to an unauthorized remote port of a server. The ex-employee who was being fired lately can provoke intrusion or any authentic worker can also provoke intrusion or any other person from the outside world could perform it. In this clause, the average data is found as the attack which is considered as the case of false positive. In this paper, the main focus is on the illustration and a solution offered for the same problem. Here we are using the KDD CUP 1999 data set. According to the outcome, the anomaly class is the one that has a higher number of counts than this class. Even if it is the true user trying to get access but the outcome is an anomaly due to the high number of counts in the class. This paper introduces a solution for the detection of a true person and eradicates the false positive. 05 30 2021 110 120 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5755.0510121 https://www.ijrte.org/portfolio-item/A57550510121/ M.Tech Student, Department of Computer Science & IT, Dr. B. A. M. University, Aurangabad (Maharashtra), India. Bharati S. Pawar Ratnadeep R. Deshmukh Professor, Department of Computer Science & IT, Dr. B. A. M. University, Aurangabad (Maharashtra), India. In the geosciences, visible–near–short-wave infrared reflectance spectroscopy seems to have the capability to become a helpful technique for soil classification, mapping, and remote confirmation of soil characteristics and mineral composition. Focus on improving the spatial resolution of soil maps in order to better deal with localized problems like soil pollution. A variety of physio-chemical properties were measured in long-term spiked soils with a range of lead and nickel concentrations and also their spectral reflectance between 400 and 2500 nm at three different locations in the agricultural region of MIDC, Aurangabad, Maharashtra, India. Principle component analysis (PCA) used for feature extraction of soil were partial least squares regression (PLSR) method is used for classification. To measured amount of lead and nickel in soil sample, thirteen features of soil samples are calculated. The main aim of this study was to use statistical methods to calculate the lead and nickel concentrations in soil, as well as to assess the efficiency of VNIR-SWIR reflectance spectroscopy for heavy metal estimation in soil using the ASD FieldSpec4 Spectroradiometer. R2 = 0.96 provides the best precision for lead content and R2 = 0.95 for nickel content in soil, according to the findings. Lead and nickel have RMSEs of 3.396 and 2.680, respectively. The outcomes show that the proposed method is capable of accurately forecasting lead and nickel concentrations. 05 30 2021 121 125 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5758.0510121 https://www.ijrte.org/portfolio-item/A57580510121/ Student, B.Tech, Department of Electronics and Telematics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India. E.N.S.S Anjana Dr. A. Naveena Assistant Professor, Department of Electronics and Telematics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India. In today’s world of ‘Data at Finger Tips’, sensors have become ubiquitous, their applications have become numerous and this data is required round the clock and on-the-go. The data picked up by the sensors is delivered to end-user in real time by IoT and further utilised for real time reports, off-line analysis and data aggregation. This review paper focuses on the different types of IoT sensors used for monitoring of atmospheric parameters. Sensors aided by wireless networking are the backbone of nowcasting and prevailing trends at any given area. IoT sensors data combined with satellite data and operational models enhance accuracy and expedite weather predictions. IoT data enable validation and updating of atmospheric depression models. Comprehensive study of sensors has been carried out and consolidated in this paper for ready reference by all stakeholders-Meteorological department, pollution control board, Non-destructive testing and evaluation of corrosive elements in atmosphere, farmers and horticulturists, to name a few. 05 30 2021 132 136 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5766.0510121 https://www.ijrte.org/portfolio-item/A57660510121/ Department of Computer Science, Federal University Oye-Ekiti. Daramola Comfort Y. Akinpelu Samson. A Department of Computer Science, Federal University Oye-Ekiti. Joshua Bature Hassan Department of Computer Science, Federal University Oye-Ekiti. 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. 05 30 2021 308 313 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5773.0510121 https://www.ijrte.org/portfolio-item/A57730510121/