12fab62417720fa68846d04 20210802044412486 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 07 30 2021 10 9 10.35940/ijitee.10.9 https://www.ijitee.org/download/volume-10-issue-9/ Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomous), Bagalkot (Karnataka), India. Sahana Munavalli Sanjeevakumar M. Hatture Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot Under Visvesvaraya Technological University, Belagavi (Karnataka), India. In the era of digitization the frauds are found in all categories of health insurance. It is finished next to deliberate trickiness or distortion for acquiring some pitiful advantage in the form of health expenditures. Bigdata analysis can be utilized to recognize fraud in large sets of insurance claim data. In light of a couple of cases that are known or suspected to be false, the anomaly detection technique computes the closeness of each record to be fake by investigating the previous insurance claims. The investigators would then be able to have a nearer examination for the cases that have been set apart by data mining programming. One of the issues is the abuse of the medical insurance systems. Manual detection of frauds in the healthcare industry is strenuous work. Fraud and Abuse in the Health care system have become a significant concern and that too inside health insurance organizations, from the most recent couple of years because of the expanding misfortunes in incomes, handling medical claims have become a debilitating manual assignment, which is done by a couple of clinical specialists who have the duty of endorsing, adjusting, or dismissing the appropriations mentioned inside a restricted period from their gathering. Standard data mining techniques at this point do not sufficiently address the intricacy of the world. In this way, utilizing Symbolic Data Analysis is another sort of data analysis that permits us to address the intricacy of the real world and to recognize misrepresentation in the dataset. 07 30 2021 1 7 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H9269.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/H92690610821.pdf Assistant Professor, RNS Institute of Technology, Research scholar, Department of Computer Science and Applications, Bangalore University, Bengaluru, India. Vishwanath Venkatesh Murthy M Hanumanthappa Department of Computer Science and Applications, Bangalore University, Bengaluru, India. Braille is the language used by visually impaired persons. Braille language comprises of collection of Braille cells which are embossed on a metal plate. Maintaining these bulky metal plates and distributing them to other parts of the world is a challenging task. This paper proposes a new technique of translating the Braille Cells embossed on plate to a natural language English character which can be easily distributed over network to make it globally accessible. Initially Braille documents are scanned, and preprocessing techniques like adaptive histogram and Laplacian filters are applied to augment the dots by eliminating the noise. The existence of dot pattern in every cell is detected with a Threshold and transformed to sequence of Binary matrix. A cell information is translated to 3x2 matrix with binary values of 0’s and 1’s representing absence and presence of dots in a cell. Convolutional Neural Network is used for feature extraction and Classification and Regression Trees (CART) classifier is utilized for recognize the character. 07 30 2021 8 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9273.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92730710921.pdf Department of Electrical and Electronics Engineering, GRIET (JNTUH), Hyderabad (Telangana), India. S. Sarfaraz Nawaz S. Tara Kalyani Department of Electrical and Electronics Engineering, GRIET (JNTUH), Hyderabad (Telangana), India. Now a days, wind energy is developing as a significant wellspring of unpolluted and eco-friendly energy to supplant the enormous scope utilization of expendable wellsprings of energy. Wind Energy is pulling in enthusiasm of analysts everywhere throughout the globe as one of the most significant inexhaustible wellspring of energy. Be that as it may, the primary confinements lie in factor speed wind vitality. The under and above Synchronous speeds are obtained by utilizing a bidirectional power flow converter. In this paper a systematic transfer function model of a Doubly Fed Induction Generator based wind turbine structure connected to grid is developed in Mat lab/Simulink environment. The control structure of generator and that of turbine is developed and implemented. A simple approach is proposed to obtain the gains of Proportional Integral (PI) controller. A systematic detail of this control structure is presented. Under varying load conditions, it is observed that the reactive power is controlled and power factor of the system is maintained close to unity by using this scheme. Stator flux situated vector control method is conveyed for both stator and rotor side converters to supply autonomous control of active and reactive power and keep the DC link voltage consistent. 07 30 2021 12 18 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9288.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92880710921.pdf RMI Lab, FST Hassan First University of Settat, Morocco. Abdelhadi Radouane Fouad Giri UNICAEN LAC Lab, Caen Normandie University, Caen, France Abdessamad Naitali M2PI Lab, ENSAM, Mohammed V University, Rabat, Morocco Fatima Zahra Chaoui M2PI Lab, ENSAM, Mohammed V University, Rabat, Morocco The problem of identifying unstructured nonlinear systems is generally addressed on the basis of multi-model representations involving several linear local models. In the present work, local models are combined to get a global representation using incremental fuzzy clustering. The main contribution is a novel vector similarity measure defined in the System Working Space (SWS) that combines the angular deviation and the usual Euclidean distance. Such a combination makes the new metric highly discriminating leading to a better partitioning of the operating space providing, thereby, a higher accuracy of the model. The developed partitioning method is first evaluated by performing linear local model (LLM) based identification of a academic benchmark multivariable nonlinear system. Then, the performances of the identification method are evaluated using experimental tropospheric ozone data. These evaluations illustrate the supremacy of the new method over the standard Euclidian-distance based partitioning approach. 07 30 2021 19 30 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9290.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92900710921.pdf Department of Mathematics, Kalasalingam Academy for Research and Education, Deemed to be University, Krishnankoil, Srivilliputhur (Tamil Nadu), India. V. Yegnanarayanan The primary aim of this paper is to publicize various problems regarding chromatic coloring of finite, simple and undirected graphs. A simple motivation for this work is that the coloring of graphs gives models for a variety of real world problems such as scheduling. We prove some interesting results related to the computation of chromatic number of certain distance graphs and also discuss some open problems. 07 30 2021 31 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9291.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92910710921.pdf Assistant Professor, Department of Computer Science and Engineering at JSS Science and Technology University, Mysuru (Karnataka), India. Vani Ashok Navneet Hosmane Student, Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru (Karnataka), India. Ganesh Mahagaonkar Student, Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru (Karnataka), India. Aditya Gudigar Student, Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru (Karnataka), India. Anvith P Student Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru (Karnataka), India. Diabetic Retinopathy (DR) is one of the serious problems caused by diabetes and a leading source of blindness in the working-age population of the advanced world. Detecting DR in the early stages is crucial since the disease generally shows few symptoms until it is too late to provide an effective cure. But detecting DR requires a skilled clinician to examine and assess digital color fundus images of the retina. By simplifying the detection process, severe damages to the eyes can be prevented. Many deep learning models particularly Convolutional Neural Networks (CNNs) have been tested in similar fields as well as in the detection of DR in early stages. In this paper, we propose an automatic model for detecting and suggesting different stages of DR. The work has been carried out on APTOS 2019 Blindness Detection Benchmark Dataset which contains around 3600 retinal images graded by clinicians for the severity of diabetic retinopathy on a range of 0 to 4. The proposed method uses ResNet50 (Residual Network that is 50 layers deep) CNN model along with pre-trained weights as the base neural network model. Due to its depth and better transfer learning capabilities, the proposed model with ResNet50 achieved 82% classification accuracy. The classification ability of the model was further analysed with Cohen Kappa score. The optimized validation Cohen Kappa score of 0.827 indicate that the proposed model didn’t predict the outputs by chance. 07 30 2021 35 39 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9296.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92960710921.pdf Department of Computer Science and Engineering and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India. Pooja V. Janse R. R. Deshmukh Professor, Department of Computer Science and Engineering and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India. Crop discrimination is still very challenging issue for researcher because of spectral reflectance similarity captured in non-imaging data. The objective of this research work is to focus on crop discrimination challenge. We have used ASD FieldSpec4 Spectroradiometer for collection of leaf samples of four crops Wheat, Jowar, Bajara and Maize. We used vegetation indices and some spectral reflectance band for featuring our dataset. We applied Principle Component Analysis (PCA) for discrimination and it has been observed that when we use first and second principle component, it will give poor result but if third principle component is used then we get accurate and fine results. 07 30 2021 40 43 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9297.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I92970710921.pdf Associate Professor, Department of Mechanical Engineering, College of Engineering, King Abdulaziz University, Saudi Arabia. Saeed Asiri The article discusses the study of Vibration Analysis of Generally layered Graphite-Epoxy with lay-up [300 /500 /300 /500 ]. The finite element method is utilized in the study, to analyze the effect of lay-up on the natural frequency and comparing the results with the article[1]. Method: The study is done using Ansys. Graphite-epoxy is considered for the study. The model is prepared from SHELL 281 element which is well-suited for composite shells and sandwiched construction. The accuracy in modeling composite shells is governed by the first-order MindlinReissner shell theory. The element has 8 nodes with 6 degrees of freedom at each node translations in the x, y, and z axes, and rotations about the x, y, and z-axes respectively. Finding: The study concludes that the values of natural frequency decreased when increased the difference between angles of lay-up. Novelty/Applications: Vibration Analysis study has been done in aspects, like sandwiched beam in which different materials are sandhwiched in a layer by layer fashion. Many studies also covers composite material with lay-up in great detail, but there is acute study about the comparision of the different lay-up angles at given boundary condition. These articles cover the same at a greater extent, and conclude that the strength and capacity of composite beams can be enhanced not only by blending composites together, but also giving importance to the arrangement of layers of composite materials. 07 30 2021 44 51 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9301.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93010710921.pdf Department of Physics, Janki Devi Bajaj College of Science, Wardha (Maharashtra), India. Sanjay H Bagade Thermal stresses and displacement functions are obtained for a rectangular plate occupying the space R: -a < x < a, 0 < y < b, -h < z < h, with the known boundary and initial conditions. In this inverse problem the unknown surface temperature is determined on the boundary along the y-axis when the temperature at some internal point is known. The governing heat conduction equation has been solved by applying Marchi – Fasulo transform and Laplace transform techniques. The solutions are obtained in form of infinite series. The results for displacement and thermal stresses have been computed numerically and illustrated graphically for Aluminium plate. MSC 2010: 74A10,74J25, 74H99, 74D99 07 30 2021 52 57 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9323.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93230710921.pdf Department of Electronics, Madhav Institute of Technology & Science Gwalior (M.P.), India. Jitendra Dubey Santosh Sharma Department of Electronics, Madhav Institute of Technology & Science Gwalior (M.P.), India. Vandana Vikas Thakare Department of Electronics, Madhav Institute of Technology & Science Gwalior (M.P.), India. 5G technology is the latest technology in market for high data rate communication based applications. There are some problems like signal blocking and attenuation occur at very high data rate and become a problem for 5G communication. This problem can be solved by using MIMO based antennas. Microstrip patch antenna is used for high frequency antenna applications. Multiple array MIMO based microstrip patch antenna is very suitable for high data rate 5G applications. CST software is used for designing and simulation of the proposed MIMO antenna. The proposed work is 2x2 array of MIMO microstrip patch antenna with a tree shape patch and full ground, which is providing better bandwidth of 69 MHz at 3.5 GHz 5G frequency. It is also providing return loss of -24.1 dB which is better than previous work which has achieved return loss of -19dB only. Proposed antenna is very suitable for 5G applications including mobile communication, WLAN etc. 07 30 2021 58 63 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9355.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93550710921.pdf Studying B.Tech (4th year), Department of Electronics and Communication Engineering (Spec in IOT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. Sai Vignesh Ramisetty D Madhumita Studying B.Tech (4TH year), Department of Electronics and Communication Engineering (Spec in IOT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. K Yashwanth chowdary Studying B.Tech (4th year), Department of Electronics and Communication Engineering (Spec in IOT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. Due to this unexpected pandemic we are going on these days, wearing a face mask became mandatory to save ourselves as well as others from the virus. But it is difficult to monitor every citizen whether he is wearing a mask or not. But it is very important. So, to overcome this problem we came up with a solution to monitor every citizen using a deep learning concept. So, we are developing a face mask detector with opencv/keras. This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it. We tried using different types of platforms such as mobilev2net and resnet architecture but the accuracy of resnet architecture is more compared to the other architecture. 07 30 2021 64 66 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9356.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93560710921.pdf School of Computer Science And Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Talasila Bhanuteja Kilaru Venkata Narendra Kumar School of Computer Science And Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Kolli Sai Poornachand School of Computer Science And Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Chennupati Ashish School of Computer Science And Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Poonati Anudeep School of Computer Science And Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. The turn of events and misuse of a few noticeable Data mining strategies in various genuine application regions (for example Trade, Medical management and Natural science) has induced the usage of such methods in Machine Learning (ML) constrains, to distinct helpful snippets of information of the predefined information in medical services networks, biomedical fields and so forth The exact examination of clinical data set advantages in early illness expectation, patient consideration and local area administrations. The methodology of Machine Learning (ML) has been effectively utilized in grouped technologies including Disease forecast. The objective of generating classifier framework utilizing Machine Learning (ML) models is to massively assist with addressing the well-being related issues by helping the doctors to foresee and analyze illnesses at a beginning phase. Sample information of 4920 patient’s records determined to have 41 illnesses was chosen for examination. A reliant variable was made out of 41 sicknesses. 95 of 132 autonomous variables (symptoms) firmly identified with infections were chosen and advanced. This examination work completed shows the illness expectation framework created utilizing Machine learning calculations like Random Forest, Decision Tree Classifier and LightGBM. The paper confers the relative investigation of the consequences of the above-mentioned algorithms are utilized efficiently. 07 30 2021 67 72 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9364.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93640710921.pdf Department of Computer Science and Engineering, GVP College of Engineering, Visakhapatnam (A.P.), India. Borra Vineetha D. N. D. Harini Department of Computer Science and Engineering, GVP College of Engineering, Visakhapatnam (A.P.), India. Ravi Yelesvarupu CEO, Hallmark Solutions, Visakhapatnam (A.P.), India. In the recent advancement, the extensive usage of electronic devices to photograph and upload documents, the requirement for extracting the information present in the unstructured document images is becoming progressively intense. The major obstacle to the objective is, these images often contain information in tabular form and extracting the data from table images presents a series of challenges due to the various layouts and encodings of the tables. It includes the accurate detection of the table present in an image and eventually recognizing the internal structure of the table and extracting the information from it. Although some progress has been made in table detection, obtaining the table contents is still a challenge since this involves more fine-grained table structure (rows and columns) recognition. The digitization of critical information has to be carried out automatically since there are millions of documents. Based on the motivation that AI-based solutions are automating many processors, this work comprises three different stages: First, the table detection using Faster R-CNN algorithm. Second, table internal structure recognition process using morphology operation and refine operation and last the table data extraction using contours algorithm. The dataset used in this work was taken from the UNLV dataset. 07 30 2021 73 79 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9349.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93490710921.pdf Department of Computer Engineering, JSPM Narhe Technical Campus, Pune (Maharashtra), India. Gayatri A. Deochake Vilas S. Gaikwad Department of Computer Engineering, JSPM Narhe Technical Campus, Pune (Maharashtra), India. Coronavirus (COVID-19) is spreading rapidly around the world and, as of October 2020, more than 1,966,000 people have been infected in more than 200 countries. Early detection of COVID-19 is essential for the provision and protection of HIV-negative people in adequate health care for patients. To do this, we developed an automated diagnostic program for COVID-19 from pneumonia (CPA) obtained from chest tomography (CT). We propose, in particular, the Noise Resilient method of machine learning that focuses on regions of lung infection while making diagnostic decisions. Note that the sizes of the infection sites between COVID-19 and CAP are not well measured, in part due to the rapid progression of COVID-19 after the onset of symptoms. Large amounts of CVID-19 CT data from hospitals have been used to evaluate our frameworks. 07 30 2021 80 83 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9329.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93290710921.pdf Head of Department, Department of Computer Engineering, Pravara Rural Engineering College, loni (Maharashtra), India. Tambe Sagar B Patil Kunal A BE Student, Department of Computer Engineering, Pravara Rural Engineering College, loni (Maharashtra), India. Bhavare Pankaj C BE Student, Department of Computer Engineering, Pravara Rural Engineering College, loni (Maharashtra), India. Kendre Govind L BE Student, Department of Computer Engineering, Pravara Rural Engineering College, loni (Maharashtra), India. Today good healthcare facilities and awareness of need of good healthcare is increasing in India. But as awareness increases it also strains the current healthcare infrastructure as patient expects more secured treatment round the clock. So there arises a need of remote assessment of patient health all the time using IoT devices. But these devices also need to be monitored by health worker in a hospital. Due to human interaction with theses IoT devices it may give rise to errors as human decisions can be late as a human health worker cannot look at the devices 24X7. So, to remove dependence of human decision-making technologies such as WBAN, cloud and machine learning has to be utilized together to make heath decision of a patient with less human interaction. So, we are designing a project where healthcare of a patient can be monitored extensively using WBAN. In first part of our project, we design a IoT device using Arduino and ESP8266 Wi-Fi module. The sensors connected to the Arduino will be pulse sensor, temperature sensor etc. The sensors will transfer data from patient to a server using ESP8266 and Wi-Fi called as WBAN network. The server will then apply SVM machine learning algorithm on the sensor readings and classify in two categories safe and unsafe. Custom made training dataset will be used to train the SVM. If unsafe readings are found the sensor will send a message to concerned doctor and upload readings to the cloud. The doctor on receiving alert can see the readings on the android app designed for the project and take a decision on the condition of the patient. For the project we are using Google Cloud Platform as our cloud provider which is free for use. Thus, by using our project a doctor can monitor his patient remotely from anywhere and the system will help in making decisions on the behalf of the doctor. 07 30 2021 84 86 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9362.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93620710921.pdf Studying BTech (3rd year), Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. Pavan Narayana A Janardhan Guptha S Studying BTech (3rd year), Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. Deepak S Studying BTech (3rd year), Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. Pujith Sai P Studying BTech (3rd year), Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India. January 27 2020, a day that will be remembered by the Indian people for a few decades, where a deadly virus peeped into a life of a young lady and till now it has been so threatening as it took up the life of 3.26 lakh people just in India. With the start of the virus government has made mandatory to wear masks when we go out in to crowded or public areas such as markets, malls, private gatherings and etc. So, it will be difficult for a person in the entrance to check whether everyone one are entering with a mask, in this paper we have designed a smart door face mask detection to check whether who are wearing or not wearing mask. By using different technologies such as Open CV, MTCNN, CNN, IFTTT, ThingSpeak we have designed this face mask detection. We use python to program the code. MTCNN using Viola- Jones algorithm detects the human faces present in the screen The Viola-Jones algorithm first detects the face on the grayscale image and then finds the location on the colored image. In this algorithm MTCNN first detects the face in grayscale image locates it and then finds this location on colored image. CNN for detecting masks in the human face is constructed using sample datasets and MobileNetV2 which acts as an object detector in our case the object is mask. ThingSpeak is an open-source Internet of things application used to display the information we get form the smart door. This deployed application can also detect when people are moving. So, with this face mask detection, as a part to stop the spread of the virus, we ensure that with this smart door we can prevent the virus from spreading and can regain our happy life. 07 30 2021 87 92 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9369.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93690710921.pdf Student, M.tech, Mechanical engineering, Sanjivani College of Engineering, Kopargaon, affiliated to Savitibai Phule Pune University, Pune (Maharashtra), India. Ramkrushna Chaudhari A. G. Thakur Director, Sanjivani College of Engineering, Kopargaon, affiliated to Savitibai Phule Pune University, Pune (Maharashtra), India. Nowadays, in order to mine the ore economically, it became necessary to increase the tonnage of mined ore, as well as to improve the method of transporting the ore that is to be mined. Belt conveyors are essential equipment for transferring the material from one place to targeted place and conveyor pulleys are the major component of conveyor system. Such kind of conveyor system needs reliable conveyor pulleys. Different type of conveyor pulleys are used throughout the conveyor system as per their function. In this research, the agenda is on modification of present conveyor pulley design by removing the most common causes of catastrophic fatigue failure which are used for high tension application in mining industry. The target during the research is on improvement of end disc design, elimination keyed connection in between shaft and hub by using locking device. The another development is to use of gearless drive technology for drive pulleys. This is obtained by continuous improvement and strategic standardized process to cater the need of mining application. These modified conveyor pulleys are best suitable for high capacity, high tension long distance conveyors used in mining industry. 07 30 2021 93 99 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9380.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93800710921.pdf Assistant Professor, Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, M. Nanthini Rabin kanisha K. R Assistant Professor, Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, India. V. Vakula Assistant Professor, Department of Electronics and Communication Engineering, Saveetha engineering college, Chennai, India. T. Vinothini Assistant Professor, Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, India Dr.SrigithaS. Nath HoD, Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, India Wireless Sensor Networks are appropriate for many applications such as agriculture, smart phones, automation and disaster reduction. In general, medium access control protocol (MAC) plays a vital role in WSN by informing the network when and how to access a medium and as a result it reduces the energy consumption. In wireless sensor networks in the star topology consistent 802.15.4k standard in which sensors could neglect to report detecting data to the get to point because of impermanent checks that disorder the connection with the access point. In this paper we discuss the connectivity and information loss of wireless environments. We categorize the work First; we study general connectivity requirements in relay networks. Second, to avoid information loss and to restore the proper connectivity. It can be performed by firefly algorithm with localizability aided localization protocol (F-LSL). It depends on the device of stochastic geometry and specifically, on Poisson direct procedures toward look for the tradeoff, which emerges from the determination of a subset of transfer hubs and the vital transmitted power that transfers need to use to reestablish arrange network. 07 30 2021 100 104 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I9351.0710921 https://www.ijitee.org/wp-content/uploads/papers/v10i9/I93510710921.pdf