-74813b3e17f460286df-7dbb 20220303005813367 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 09 30 2020 9 12 Department of Biomedical Engineering, AVIT, Chennai, India. Monisa. K* Mohana S Department of Biomedical Engineering, AVIT, Chennai, India. Yasmin. S Department of Biomedical Engineering, AVIT, Chennai, India. Sandhiya. R Department of Biomedical Engineering, AVIT, Chennai, India. Diabetic mellitus is a condition that happens when the body can't use glucose normally. Glucose is the standard wellspring of the essentialness for the body cells. The degrees of the glucose in the blood are compelled by a hormone called insulin, which is made by the pancreas. There are two most ordinary kinds of diabetic mellitus. Type 1diabetics and Type 2 diabetics. Type 1 diabetics are a ceaseless condition wherein the pancreas can't make insulin and in type2 diabetics the pancreas makes insulin anyway it doesn't convey enough insulin or doesn't work. Today clinical present that type 1 diabetic mellitus is a noteworthy clinical issue far and wide. In the current methodology the non – nosy techniques are used and the data tolerating from the patient will normally move to the pro by using IOT. In our proposed technique the robotized diabetics checking structure will thusly record the glucose level of the blood from diabetic patient, especially in the ICU cases. Our proposed method ketone close stands measured by way of the amount of snort CH3)2CO stands assembled, once the patient inhale out into a demonstrative that involves gas sensor. The system is itemizing of blood glucose whether the glucose is falling or rising. The structure gives the specific outcome besides the patient statistics directed near authority through WIFI and besides revived in the cloud every day on the future explanation. 09 30 2020 210 212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7712.0991120 https://www.ijitee.org/portfolio-item/K77120991120/ Department of Mechanical Engineering, Amrita School of Engineering, Amrita Viswavidyapeetam, Ettimadai, Tamil Nadu, India. Abhi Ram K* A Srinivass Associate Professor, Department of Mechanical Engineering, Amrita School of Engineering, Amrita Viswavidyapeetam, Ettimadai, Tamil Nadu, India. Paper This study is to find out how sensitively the design parameters of Electric Vehicle (EV) will affect the State Of Charge (SOC) it. The main design parameters that selected are the frontal area of the vehicle, vehicle mass and coefficient of drag. With the help of Advisor software MatLab model of EV s made. The vehicle model is run in different universally accepted driving cycles with different values of design parameters selected. The analysis is done using the sensitivity analysis method, which will show how one parameter is affecting others. 09 30 2020 127 129 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7718.0991120 https://www.ijitee.org/portfolio-item/K77180991120/ Department Of Biomedical Engineering , AVIT, Chennai, India. Dhanalakshmi. R* Nehaa. S Department Of Biomedical Engineering , AVIT, Chennai, India. Shayana. S Department Of Biomedical Engineering , AVIT, Chennai, India. sandhiya. R Department Of Biomedical Engineering , AVIT, Chennai, India. Loss of movement viewing and social insurance structure is the contraption used to screen the loss of development patients This framework utilizes Biosensors and GSM module. Biosensors measure the noteworthy furthest reaches of the patients, for example, beat, temperature, ECG and EEG. On the off chance that these cutoff points outflanks its rate past the standard range accordingly the SMS will be sent to the overseer or master through GSM module. Our proposed social assurance framework is utilized to who have their entire or halfway body harmed by the incapacitated snare This structure works by the finger headway of the client part .All the technique are obliged by arduino mega 2560. 09 30 2020 213 216 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7721.0991120 https://www.ijitee.org/portfolio-item/K77210991120/ Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Kalyani C. Waghmare* Balwant A. Sonkamble Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. The supervised and unsupervised learning methods in Machine Learning are successfully applied to solve various real time problems in different domains. The Indian Music has a base of Raga structure. The Raga is melodious framework for composition and improvisation. The identification and indexing of Raga for Indian Music data will improve efficiency and accuracy of retrieval being expected by e-learners, composers and classical music listeners. The identification of Raga in Indian Music is very difficult task for naïve user. The application of machine learning algorithms will definitely be best key idea. The paper demonstrates K-means and Agglomerative clustering methods from unsupervised learning nonetheless K Nearest Neighbor, Decision Tree and Support Vector Machine and Naïve Bayes classifiers are implemented from supervised learning. The partition of 70:30 is done for training data and testing data. Pitch Class Distribution features are extracted by identifying Pitch for every frame in an audio signal using Autocorrelation method. The comparison of above algorithms is done and observed supervised learning methods outperformed. 09 30 2020 130 134 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7724.0991120 https://www.ijitee.org/portfolio-item/K77240991120/ School of Computer Science & IT, Devi Ahilya University, Khandwa Road, Indore 452001, Madhya Pradesh, India Archana Chaudhary* Classification is a method of observing the features of a new object and assigning it to a known class. Machine learning classification problem consists of known classes and a vivid training set of pre-categorized examples. The work diagnoses groundnut diseases using outstanding machine learning algorithms namely simple logistic, decision tree, random forest and multilayer perceptron for accurate identification of groundnut diseases. Experiments are conducted with the help of 10-fold cross validation strategy. The results advocate that above mentioned classification algorithms diagnose the groundnut diseases with excellent accuracy level. Simple logistic and multilayer perceptron show outstanding performance than other algorithms and result in 96.37% and 95.80% disease classification accuracy. Random forest and decision tree algorithms provide fair accuracies in less time. These machine learning algorithms can be used in diagnosing other crop diseases also. 09 30 2020 164 166 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7728.0991120 https://www.ijitee.org/portfolio-item/K77280991120/ Department of Computer Science & Engineering, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India. Mrs Nirmala* Dr,Gopalkrishna Joshi Dean Director, Centre for Engineering Education Research B. V. Bhoomaraddi College of Engg. & Technology, Hubli, Karnataka, India. Dr P S Hiremath Professor, Department of Computer Science, BVB College of Engineering & Technology, Hubli Karnataka, India. Description of images has an important role in image mining. The description of images provides an insight into the location, its surroundings and other information related to it. Different procedures of describing the images exist in literature. However, a well trained description of images is still a tedious task to achieve. Several researchers have come up with solutions to this problem using various techniques. Herein, the concept of LSTM is used in generating a trained description of images. The said process is achieved through encoders and decoders. Encoders use techniques of maxpooling and convolution, while the decoders use the concept of recurrent neural networks. The combined architecture of encoders and decoders result in trained classifiers, which enable reliable description of images. The working has been implemented by considering a sample image. It has been found that slight variations with regard to accuracy, naturalness, missing concepts, deficiency of sufficient semantics and incomplete description of image still exist. Hence, it can be inferred that, with reasonable amount of enhancement in the technique and using the techniques of natural language processing, more accuracy in image descriptions could be achieved. 09 30 2020 167 172 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7729.0991120 https://www.ijitee.org/portfolio-item/K77290991120/ Department of Power Electronics and Energy Conversion, Electronics Research Institute, Cairo, Egypt. Zeinab Elkady* Naser M. B. Abdel-Rahim Department of Electrical Engineering, Future University, Egypt, Cairo, Egypt. Ahmed Aly Mansour power electronics and energy conversion department, Electronics Research Institute, Cairo, Egypt. Fahmy Bendary Electrical Power System, Benha University Faculty of Engineering, Shoubra. This paper introduces an enhanced control system to improve the transient response of the dynamic voltage restorer (DVR). The control strategy achieves superior response against voltage disturbance approximately within 400 μs. The control system comprises three terms: closed-loop feedback control signal, upstream disturbance detection error, and voltage drop over DVR term. The actual load voltage is compared with its reference value and is adapted by a PI controller. The upstream disturbance detection significantly enhances the transient time of the control system performance and improves its steady-state operation. In addition, the voltage drop over the DVR term represents the voltage drop caused by the DVR circuit component. Incorporating these effects in the control loop, fast and accurate response of the system are achieved. An L filter is used instead of the LC filter to overcome the inherent LC filter damping delay and resonance problem mentioned in previous studies. The system is simulated using MATLAB/ Simulink. The simulation results show excellent response in transient and steady-state operation for various operating conditions. 09 30 2020 173 179 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7730.0991120 https://www.ijitee.org/portfolio-item/K77300991120/ Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Mrs. Anupama D. Dondekar* Mr. Balwant A. Sonkamable Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Recent advancement in digital technology and vast use of social image sharing websites leads to a huge database of images. On social websites the images are associated with the tags or keywords which describe the visual content of the images and other information. Theses tags are used by social image sharing websites for retrieval of the images. Therefore, it is important to assign appropriate tags to the images. To assign related tags, it is necessary to choose appropriate classifier for automatic classification of images into various sematic categories with respect to the classification accuracy which is important step for image tag recommendation. In this paper, three supervised classifier algorithms are implemented for image classifications which are SVM, kNN and random forest and its performance is analyzed on Flickr images. For classification of images, the features are extracted using color moment and wavelet packet descriptor. 09 30 2020 135 138 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7732.0991120 https://www.ijitee.org/portfolio-item/K77320991120/ Ward Melville High School, 380 Old Town Rd, Setauket, NY 11733, USA. Katherine Tian* The COVID-19 virus has spread around the world and over 22 million people were diagnosed with the virus. Fevers are one of the top three symptoms of coronavirus, the others being coughs and shortness of breath. A critical component to prevent the spread of COVID-19 is to quickly detect fevers in public places, including hospitals, doctor offices, elder care centers, schools, gyms, movie theaters, restaurants, etc. Today, thermometers can be used in these places, but they require manual operation by dedicated health workers. To make temperature measurement an automatic process, an automatic non-contact fever detector is developed. The fever detector consists of several components: a clinically tested and precisely calibrated thermometer to guarantee accuracy and reliability, a motion sensor to detect the readiness of temperature taking, a relay-based trigger circuit to replace the manual trigger of the thermometer, and a DC-to-DC regulator to replace batteries in the thermometer. LCD signals and the buzz signal from the thermometer, are used to determine the measurement results. Lighting and sound signals are used as indication of normal temperature or fever. All the functions of the detector are controlled by a microcontroller. The detector has been thoroughly tested for continuous operation. Once widely used, the detector will help to detect fevers in public places and prevent the spread of the COVID-19 virus. . 09 30 2020 180 184 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7741.0991120 https://www.ijitee.org/portfolio-item/K77410991120/ Department of Biomedical Engineering, AVIT, Chennai, India. R. Sandhiya* Santhoshini Arulvallal Department of Biomedical Engineering, AVIT, Chennai, India. Lakshmi Shree. B Department of Biomedical Engineering, AVIT, Chennai, India. According to the recent survey, Chronic Kidney Disease (CKD), Hypertension, Diabetes Mellitus type I & II are very common among the people now a days. The portable and user friendly devices like sphygmomanometer, Glucometer are developed for the diagnosis of Blood pressure (BP) and blood glucose respectively, which are available commercially. This literature review focuses on the development of portable CKD diagnosis system using different types of gas sensors. The Ammonia is marked as the major biomarker in the diagnosis of any kidney disease, the presence of elevated concentration of ammonia in the breath of a person reflects any kidney problem in the body. This Ammonia and other gases which constitute the kidney problem like Nitrogen oxide which acts as the biomarker for end stage acute kidney disorder are diagnosed with the help of several gas sensors like Ammonia gas sensor, Gold Nano particles sensors, Nano composites sensors etc., It is possible to develop a system for the diagnosis of CKD using the gas sensors which could reduce the time consuming regular clinical diagnosis of the same. 09 30 2020 185 188 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7746.0991120 https://www.ijitee.org/portfolio-item/K77460991120/ Department of Environmental Engineering, NCET, Nagpur, India. Aboli Chavhan* Dr. Arif Khan Principal, NCET, Nagpur, India. This paper inspected the fluctuation which happens in key boundaries like pH, temperature, dampness content, natural carbon, nitrogen, phosphorous and so on during the 30 days standard observing of fertilizing the soil process.5 kg of city strong waste, old fertilizer, straw and soil, was blended in with 5%, 10%, 15% of cow urine of 3 kg civil strong waste for treating the soil. Treating the soil was finished by utilizing sixteenth containers model composter made up with legitimate air circulation and waste office and was kept in semi sun beams condition. Ph running 7.6 to 8.9 in the main stage, Temperature ascends from the primary day of process and become 55°C on18 day. Dampness content in manure was insecure all through the procedure because of changing microbial populace. The NPK substance of conclusive fertilizer are discover after finding the aftereffects of NPK got from fertilizing the soil treatment given to MSW and Cow urine are demonstrate that consolidated fertilizing the soil are an appealing technique for the executives of city strong waste. 09 30 2020 189 192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7750.0991120 https://www.ijitee.org/portfolio-item/K77500991120/ Post graduate student at Department of mechanical engineering, Methodist College of Engineering and Technology, Hyderabad, India. Tharun Raj* M. Prasad Assistant Professor, Department of mechanical engineering, Methodist College of engineering and technology, Hyderabad, India. An Obstacle Deflector is a device mounted in front of the trains to sweep away the obstacle off the track or absorb impact energy to prevent derailment. On considering the same concept which sweeps the obstacle, I have designed a device that sweeps away living obstacles (animals, Humans) from the tracks with life expectancy. Many animals are killed over the tracks in regular train accidents. Based on this issue, here my project discusses with the conceptual design of a roller obstacles deflector that absorbs the impact energy on collision and sideways the obstacle using roller based polyethylene rollers applied in front of the train. The cushioning effect designed for the device helps to reduce the impact force when Train hits the living obstacles (Human, cow and elephant) at speed of 30km/hr. or 8111 mm/s., With a load of 50 Tonne. As per study, human pain can be measured in Del (Dolorimeter) which explains that the maximum limit of pain average human being can withstand is 45 Del. But, breaking of a bone is almost equals to 57 Del. Some studies say Del is equal to 1403.508 N forces. By this data and using the reaction forces resulted at the time of clash in Ansys software simulation, we can state the amt. of pain (in terms of DEL) to some living organisms and can conclude the functionality of the device to save the life. This design works for the limited animal category based upon size and weight of the animal. This design works under the limited speed and with limited load to safeguard the animals and humans on the track. This design does not impact on the existing safety conditions of the railways as it’s absorb the impact up to limited extend. The modeling is done using CATIA. The explicit dynamics of impact is done with ANSYS 09 30 2020 217 224 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7755.0991120 https://www.ijitee.org/portfolio-item/K77550991120/ Department of Computer Science, Birla Institute of Technology & Science, Pilani - Dubai Campus, Academic City - P.O. Box: 345055, Dubai -United Arab Emirates. Gourisha Sethi* A. R. Abdul Rajak Assistant Professor, Electrical and Electronics Engineering, Birla Institute of Technology & Science, Pilani - Dubai Campus, Academic City - P.O. Box: 345055, Dubai - United Arab Emirates. This research paper portrays a small contribution towards the exploration of big data application; particularly in the policing and legal departments around the world. It showcases the concept of real time study of ever growing, constant and large amount of data being put into use and showcasing how this data in the coming world is not less than any physical asset. This paper provides a good understanding about the implementation of big data and how out of multiple sectors it is being utilized in the policing and law enforcement sectors of numerous countries with the help of technical advancements like Artificial Intelligence and Predictive Software. An understanding in the working of Predictive Analysis Softwares & AI with the policing bodies that already are into existence and running. This includes system-oriented reproductions for producing road segment-based lawbreaking forecasts. The big data proved to be very useful for the policing and law enforcement sectors during the global pandemic caused by the COVID-19 virus when social distancing is critical. 09 30 2020 225 228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7760.0991120 https://www.ijitee.org/portfolio-item/K77600991120/ Department of Computer Science, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University Jakarta, Indonesia. Indra Zulardi* Nico Surantha Department of Computer Science, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University Jakarta, Indonesia. The internet now plays crucial roles such as streaming videos, social networking, managing large scientific data. There is a need for high-speed Internet. The volume of data handled by the data centers is increasing very rapidly. Hence, the need to handle data center traffic effectively becomes inevitable. At present, the government office network uses a data center network design based on Fat-Tree that employs high-end IP switches. Unfortunately, the resulting network performance has delays of more than 0.06 ms, throughput of about 500 kbps, and packet loss rate is 2. This research introduces BCube to re-design and improve network performance (i.e., delay, throughput, and packet loss). Through this research, we propose a new data center design in the government office that improves the network performance significantly, with delays less than 0.004 ms, throughput more than 515 kbps, and packet loss rate 0, two–three percent better compared to the Fat-Tree data center network design that contributes significantly to the data center operations in the government office and its overall business performance through the data center network design. 09 30 2020 193 198 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7762.0991120 https://www.ijitee.org/portfolio-item/K77620991120/ Biomedical Engineering, Aarupaai veedu institute of technology, Chennai,India Kalaivani V* Devika E Biomedical Engineering, Aarupadai veedu institute of technology,Chennai,India. Arulladakanthan R Biomedical Engineering,Aarupadai veedu institute of technology,Chennai,India. Santhoshini Arulvallal Assistant professor of biomedical department, Aarupadai veedu institute of technology, Chennai, India our project describes the tactic of measurement of the glucose concentration and simultaneously hemoglobin within the human blood non-invasively using the painless near infrared-based optical technique. In recent practice, the concentration of glucose and hemoglobin in blood is measured using invasive techniques which generally involve pricking finger (commercial Glucometer and samples using spectroscopy). The frequent finger pricking causes damages on the skin and also increases the danger of spreading infectious diseases. So, the development of non-invasive blood sugar and hemoglobin measurement system are going to be a boon to diabetic patients. The designed system uses Near Infrared (NIR) spectroscopy to work out blood sugar levels supported transmittance spectroscopy emitting signals of 940nm wavelength. These optical signals are sent through the fingertip and reflected signals are detected by phototransistor placed beside. The glucose concentration and therefore the hemoglobin within the blood are determined by analyzing the variation within the intensity of the received signal obtained after reflection. The described system is majorly useful for diabetic patients. In our project, we used Ardunio Uno for the acquisition and processing of the signals. The developed low-cost device could avoid complicated procedures and provides continuous monitoring of glucose and hemoglobin concentration. 09 30 2020 229 232 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7768.0991120 https://www.ijitee.org/portfolio-item/K77680991120/ Faculty of Computing and Software engineering, Amit, Arbaminch university, Arbaminch, Ethiopia Jenifer Mahilraj* Getahun Tigistu Faculty of Computing and Software engineering, Amit, Arbaminch university, Arbaminch, Ethiopia Sisay Tumsa Faculty of Computing and Software engineering, Amit, Arbaminch university, Arbaminch, Ethiopia In real world, twitter sentimental analysis (TSA) acting a major role in observing the public opinion about customer side. TSA is complex compared to general sentiment analysis due to pre-processing of text on Twitter. The maximum limit on the number of characters allowed on Twitter is 280. In this article we discuss the influence of the text pre-processing technique on the classification efficiency of emotions in two kinds of classification problems and summarize the classification efficiency of the four pre-processing methods. This paper contributes to the consumer satisfaction classification sentiment analysis and is useful in evaluating the details in the context of the amount of tweets where views are somewhat unstructured and are either positive or negative, or somewhere in between. We first pre-processed the dataset, then extracted the adjective from the dataset with some meaning called the feature vector, then selected the feature vector list and subsequently applied machine learning based classification algorithms namely: Naive Bayes, Random Forest and SVM along with WordNet based Semantic Orientation which extracts synonyms and similarity for the features of content. Experiments display that the accuracy (Acc) and average F1-measure (F1-M) of the classification classifier on Twitter are enhanced by using methods of pre-processing the extension of acronyms and swapping negation, but barely deleting numbers or stop words. 09 30 2020 233 240 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7771.0991120 https://www.ijitee.org/portfolio-item/K77710991120/ Biomedical engineering, Aarupadai veedu institute of technology, Chennai, India Manimala. V Ahmed Maricar. Z Biomedical engineering, Aarupadai veedu institute of technology, Chennai, india, Ananthakrishnan. K Biomedical engineering, Aarupadai veedu institute of technology, Chennai, india, Santhoshini Arulvallal Assistant professor of biomedical department, Aarupadai veedu institute of technology, Chennai, India Excess sleep results in drowsiness that's not the underlying disease.Drowsiness may cause additional symptoms, like forgetfulness or falling asleep at inappropriate times. The common examples are Sleep deprivation, alcohol or drug use, medication side -effect, an outsized meal or caffeine withdrawal. A number of the causes of the drowsiness are Lifestyle factors, psychological state, Medical Condition, Medications, Sleeping disorders. The prevailing method uses the photo-PLETHYSMOGRAPHY method. In our project we are going to detect the drowsiness, this we will detect the waveforms and transform the waveforms using ARDUINO software and determine the speed of drowsiness. Using GSM, just in case of drowsiness the notification or call is shipped to the respective registered number. The developed low-cost device could avoid complicated procedures and provides continuous monitoring of the drowsiness. 09 30 2020 241 244 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7773.0991120 https://www.ijitee.org/portfolio-item/K77730991120/ Department of Electrical Engineering, Asosa University, Asosa, Ethiopia. Birtukan Admau Birawo* Recent advances in electronics and wireless telecommunications provide the opportunity to design and manufacture wireless sensors with low power consumption, small size, appropriate price and various applications. These small sensors which are capable of sensing environmental data, processing and transmitting information have led to a novel idea for developing networks called wireless sensor networks (WSNs). WSNs are contains a various number of tiny small-cost, resource limited and limited energy devices that can sense, compute, store, and transmit data of surrounding environment with limited capabilities across the network to the base station. But these resource and battery limitations have direct effect on the life span of wireless sensor networks. So, authors aim to minimize the transmission energy of the network through minimizing the communication distance between each sensor nodes of the network. They proposed to improve Multi-Hop LEACH routing protocol. The network in the proposed work incorporates homogeneous types of sensors nodes randomly deployed in different portion of an environment to gather data about the environment that they are deployed. The sensors are organized in cluster-based structure to sense the different physical parameters of the environment and route the readings to a BS for visualization and data management purpose. The proposed work improved the existing routing protocol which is Multi-Hop LEACH cluster-based routing protocol by integrating the communication way of existing appropriate routing protocols. Such as: Minimum Transmission Energy and Multi-Hop LEACH cluster-based routing protocol for WSN. Authors have implemented the proposed routing protocol for WSN and the performance is evaluated using MATLAB simulation tool. Finally, Researchers present numerical results that validate the feasibility of the proposed technique. The proposed protocol achieves significant improvement in terms of network lifetime and provides improved performance energy efficiency for WSN. 09 30 2020 245 250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7775.0991120 https://www.ijitee.org/portfolio-item/K77750991120/ FKEKK, UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Ridza Azri Bin Ramlee* Lim Yu Guan Centre for Telecommunication Research & Innovation, UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Siva Kumar Subramaniam Centre for Telecommunication Research & Innovation, UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Mohamad Harris Misran Centre for Telecommunication Research & Innovation, UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Asem Khmag Department of Computer Systems Engineering University of Zawia, Libya. This research is aimed to achieve high-precision accuracy and for face recognition system. Convolution Neural Network is one of the Deep Learning approaches and has demonstrated excellent performance in many fields, including image recognition of a large amount of training data (such as ImageNet). In fact, hardware limitations and insufficient training data-sets are the challenges of getting high performance. Therefore, in this work the Deep Transfer Learning method using AlexNet pre-trained CNN is proposed to improve the performance of the face-recognition system even for a smaller number of images. The transfer learning method is used to fine-tuning on the last layer of AlexNet CNN model for new classification tasks. The data augmentation (DA) technique also proposed to minimize the over-fitting problem during Deep transfer learning training and to improve accuracy. The results proved the improvement in over-fitting and in performance after using the data augmentation technique. All the experiments were tested on UTeMFD, GTFD, and CASIA-Face V5 small data-sets. As a result, the proposed system achieved a high accuracy as 100% on UTeMFD, 96.67% on GTFD, and 95.60% on CASIA-Face V5 in less than 0.05 seconds of recognition time. 09 30 2020 285 294 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7776.0991120 https://www.ijitee.org/portfolio-item/K77760991120/ Faculty of Computer Science, University of Brawijaya, Malang, Indonesia Heru Nurwarsito* Firstian Satya Yulihardi Faculty of Computer Science, University of Brawijaya, Malang, Indonesia. Sleep apnea disease is a disease at the respiration system in a human that dangerous and has a high mortality rate. There is two sleep apnea, the first is central sleep apnea and then obstructive sleep apnea, basically sleep apnea is a condition that somebody stop breathing when they were sleeping for a few second, sleep apnea caused by the relaxation of respiration muscle. When sleep apnea comes back, sleep apnea patients need to wake up from and breathe normally again. This system is made to provide some mechanism outside of the human body to help obstructive sleep apnea patient woke up from their sleep and breathe well. Furthermore, with this system, might patients could be monitored although they were not at a hospital. In its work, the system is using a microcontroller and smartphone that are connected with the MQTT protocol to help patients. The microcontroller is used for sensing patient heart rate by connecting it with the AD8232 module sensor wich then the signal would be classified to determine the condition of sleep apnea using the KNN classification method. The result of classification by the microcontroller be delivered to the user’s smartphone to be the trigger for alarm, patient’s monitoring system, etc. Research result shows that the MQTT protocol 100% successful to transmit the data with 39.74 ms delay. The patient, patient’s family, and medic smartphone’s apps can monitor and successfully show a notification when sleep apnea’s patient recurring. Accurate of the sensor at sensing heart rate is 91.32% and the accuracy of the classification method is 86.6%. Other than that, the average processing speed from the sensing proses to classification is 1273.85 ms, and the time needed for data arrived at the user’s smartphone is 1312.74 ms. 09 30 2020 265 270 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7778.0991120 https://www.ijitee.org/portfolio-item/K77780991120/ Civil Engineering Department, MIT Muzaffarpur, Muzaffarpur, India Subha Sinha* Vybhav Gupta Technical Service Department, Ultratech Cement Ltd India. Shashank Shaurabh Civil Engineering Department, Motihari College of Engineering, Motihari-845401, India. Cement is the most important material for construction industry. Key raw material for cement Manufacturing is limestone and it’s a non-renewal source of material. The high demand and limited reserve of limestone create a challenge to use this non-renewal source in optimum way and to reduce the wastage. To counter this challenge, RMC has been developed. However in India, its usages are limited due to lack of studies of its effectiveness in sub-continental conditions. In this work a study is made to identify the quantum of wastages and effectiveness of RMC to reduce this wastage. Suggestive measures are also discussed to overcome the constraints in the use of RMC in India. This study shows that RMC may be proved a game changer in conservation of cement strength if more emphasis can be given on development of RMC industry and to educate the stack-holders about its benefits and way of use. It is concluded that masons have measured role in house construction so lot of education certified courses are needed to implement to educate them for usage of cement and concrete batching. Government, Cement companies and RMC industries need to focus on this account to prevent wastage of extra cement by volume batching (Nominal Mix) and need to promote concrete mix design by weight. 09 30 2020 295 299 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7800.0991120 https://www.ijitee.org/portfolio-item/K78000991120/ School of Computer Science & IT, Devi Ahilya University, Khandwa Road, Indore 452001, Madhya Pradesh, India. Archana Chaudhary* Machine learning is programming computer or a mobile device that learns from experience. Machine learning classification methods are helpful in various fields of Computer Science like driverless cars, product recommendation systems, dynamic pricing, Google translate, online video streaming, internet and mobile fraud detection systems and much more. The present work proposes a method augClassifier to enhance the performance of Simple Logistics machine learning algorithm. The performance assessment of machine learning algorithm is conducted on a Mobile device using Android Environment. The work also presents the comparative performance investigations of Simple Logistics machine learning algorithm using correlation based feature selection method with respect to performance measures Precision, Sensitivity, F-Measure and ROC. The present work conforms that the augClassifier enhances the performance of Simple Logistics machine learning algorithm. 09 30 2020 320 322 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7803.0991120 https://www.ijitee.org/portfolio-item/K78030991120/ Delta Technological University, Faculty of Technological of Industry and Energy Mohamed M. A. Elgazzar* Ahmad alshareef Electronics and Communications Department, Cairo University Giza, Egypt Vehicular ad-hoc networks VANETs has become one of the great research topics related to automotive industry, as they are the suitable way to describe the real scenarios of the car movement through our daily life. Routing protocols used in the network description of a vehicular ad-hoc network are to balance between the responsiveness of the network to the rapid change of the topology and bandwidth efficiency. Different approaches for routing protocols are introduced to address the routing strategies to be followed in the constructed vehicular ad-hoc network considering its perspective of the routing algorithm to be followed. Each approach is consists of different routing protocols that inherits the main theme of the parent approach. Evaluating the measurements for each approach is very important for the developer of the network through network simulation prior to the expensive direct implementation of the vehicular ad-hoc networks. In this paper, we will discuss three main routing approaches: reactive, proactive and position based routing protocols, discussing the main theme for each approach followed by analytical simulations for three different protocols representing the three approaches. Ad-hoc on demand vector AODV representing the reactive approach, destination-sequenced distance vector DSDV representing the proactive approach and greedy perimeter stateless routing GPSR representing the position based approach. 09 30 2020 383 387 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7807.0991120 https://www.ijitee.org/portfolio-item/K78070991120/ Department of Electrical and Electronics, PDA College of Engineering, Kalburagi, India. Bhagyashree Karur* Dr. Sanjeevkumar R A Department of Electrical and Electronics, PDA College of Engineering, Kalburagi, India. In order to have efficient operation of grid connected Photovoltaic (PV) inverter, the issue of leakage current must be completely eliminated. For this new transformerless multilevel inverter is proposed in this paper with (k-1) levels in which k denotes the number of switches. The inverter provides zero common mode leakage current and also capable of operating under half of rated PV voltage, hence make this proposed inverter topology as LVRT (low voltage ride through) capable. Different modes are employed for the stable operation of the proposed inverter with varying input PV voltage. Simulation work is carried out for three, five and seven level proposed inverter topologies in MATLAB/Simulink software which determines its maximum power point tracking performance. Here the THD (Total Harmonic Distortions) of 3, 5 and 7 levels are compared. 09 30 2020 323 328 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7810.0991120 https://www.ijitee.org/portfolio-item/K78100991120/ School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. Ravi Tomar* Yogesh Awasthi School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. In today’s world of network security, wireless communication attacks such as Distributed Denial of Services (DDoS) attacks are one of the most severe cybercriminal attacks. For the information technology and computer systems, a cyber security rule is required to compel different group as well as businesses to secure their systems and information from cyber-attacks. The occurrence of attacks in the healthcare system is responsible for affecting financial as well as prestige losses the patient. To cyber defense networks from this type of attack, it is essential to design an autonomous detection system by considering some essential countermeasures. Our aim is to detect Distributed Denial of Service (DDoS) attack, which is one of the most commonly present cyber-attacks. This research presented an automatic cybersecurity system against DDoS attacks in healthcare applications. This paper focused on deep learning technology along with the concept of a nature-inspired optimization algorithm to detect the affected node. The designed network is simulated in MATLAB tool and provides better results in terms of Packet Delivery Rate, delay and detection rate with Cuckoo Search (CS) and Artificial Neural Network (ANN) as prevention algorithm. In this paper, author has discussed the importance of the information of the patient data in the healthcare. The detail architecture of the health care information system has also been demonstrated and various security requirement are also been discussed. To analyse the performance of this proposed work, the computed metrices are Throughput %, PDR, Detection Rate and Delay. 09 30 2020 329 333 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7811.0991120 https://www.ijitee.org/portfolio-item/K78110991120/ School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. Ravi Tomar* Yogesh Awasthi School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. Cyber Security is the protection of unauthorized access of the information. Different threat and issues are present in the network which stole unpredictable amount of data every year. For the information technology and computer systems, a cyber security rule is required to compel different group as well as businesses to secure their systems and information from cyber-attacks. In the healthcare sector huge amount of data can be theft every year which is dangerous for both government and personal view. The technical advancements have increased the risk’s potential in the network in Cloud and Cyber. Security & privacy cracks are the vital issues which need to mitigate to maintain the dignity of the network. This paper conducted a review to secure the network from network security issues. There are various attacks which are vulnerable to the network like DoS, DDoS and Spoofing. These attacks have been described to identify the attacker’s capability. In order to facilitate this, networks such as cloud, ad-hoc, cyber has been described to determine the security, a paradigm. A literature from past studies has been conducted to identify the threats and their behavior. Different types of attacks and their behavior is also studied, and a tabular structure is also presented for better understanding. 09 30 2020 334 338 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7812.0991120 https://www.ijitee.org/portfolio-item/K78120991120/ School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. Ravi Tomar* Yogesh Awasthi School of Engineering & Technology (Department of CS), Shobhit Institute of Engineering & Technology, Meerut, India. Cyber Security is the protection of unauthorized access of the information. Different threat and issues are present in the network which stole unpredictable amount of data every year. For the information technology and computer systems, a cyber security rule is required to compel different group as well as businesses to secure their systems and information from cyber-attacks. In the healthcare sector huge amount of data can be theft every year which is dangerous for both government and personal view. The technical advancements have increased the risk’s potential in the network in Cloud and Cyber. Security & privacy cracks are the vital issues which need to mitigate to maintain the dignity of the network. This paper conducted a review to secure the network from network security issues. There are various attacks which are vulnerable to the network like DoS, DDoS and Spoofing. These attacks have been described to identify the attacker’s capability. In order to facilitate this, networks such as cloud, ad-hoc, cyber has been described to determine the security, a paradigm. A literature from past studies has been conducted to identify the threats and their behavior. Different types of attacks and their behavior is also studied, and a tabular structure is also presented for better understanding. 09 30 2020 334 338 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7812.0991120 https://www.ijitee.org/portfolio-item/K78120991120/ Computer Engineering, Poornima University, Jaipur, India. Monika Sharma* Vinod Bothale National Remote Sensing Center, ISRO, Hyderabad, India. Meenakshi Nawal Computer Engineering, Poornima University, Jaipur, India. Mahesh Bundele Computer Engineering, Poornima University, Jaipur, India. People have been contributing large amount of data every day in Geographical Information Portal however to harness the real power of this tremendous amount of data, it must be managed efficiently. There are some challenges with this data, such as authentication and skewedness. Maximum public places even in a small village must be geotagged to provide better citizen centric services specifically in developing countries. Hence, it’s a need of hour to enrich the unique Indian GIS portal "Bhuvan" with Point of Interest (POI) data where one can find all necessary information. Although POI on Bhuvan is improving day by day however to overcome the challenges mentioned above is an important task. Therefore, a framework is required to expedite the tagging and authentication process of the tagged data in an efficient manner to exploit the power of POI data. In this paper, we have explored the available techniques to improve and verify the crowd sourced data and propose a conceptual model to accomplish the objective of verifying and managing the geotagged data to enrich the portal. A trust rank parameter is introduced to ensure the quality of the POI data. This will be calculated using multisource verification model using state of the art open source technologies available. This verified POI data can be used further in knowledge Graph creation to get better search facility. 09 30 2020 339 348 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7820.0991120 https://www.ijitee.org/portfolio-item/K78200991120/ Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India. Amit Kumar* Pushpendra. R. Verma Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India. Sajal Swapnil Department of Electronics & Communication Engineering, NIT Kurukshetra, Haryana, India. Rakesh Ranjan Vice Chancellor, Himgiri Zee University, Dehradun, India. Cognitive radio network (CRN) came in to existence as a promising solution to tackle issues due to scarcity of spectrum. Spectrum sensing plays an important role for maximizing the spectrum utilization where spectrum of the primary users (PU) is sensed by the secondary user (SU) at particular time and space. Researchers have presented machine learning techniques for spectrum sensing, though, challenges exists for the improvement in the throughput, energy efficiency, detection probability and delivery ratio. In this paper, an enhanced restricted Boltzmann machine (ERBM) is presented for spectrum sensing based on RBM. Particle Swarm Optimization (PSO) is incorporated for enhancing the performance of spectrum sensing and computation of optimal momentum coefficient of RBM. Simulation results shows that the performance of the proposed spectrum sensing technique is comparable to the existing techniques in terms of throughput, energy efficiency and detection probability and delivery ratio. 09 30 2020 271 278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7822.0991120 https://www.ijitee.org/portfolio-item/K78220991120/ PhD Research Scholar, Department of Civil & Structural Engineering, Annamalai University, Chidambaram, India. P. Swaminathan* Dr.G. Kumaran Professor, Department of Civil & Structural Engineering, Annamalai University, Chidambaram, India. The use of non-corrosive reinforcements in the place of steel reinforcements has therefore been focused as an alternative to improve the life span of the concrete structures. Fibre Reinforced Polymer (FRP) reinforcements offer many advantages over steel reinforcements including resistance to electrochemical corrosion, high strength to weight ratio and easy in fabrication and electromagnetic insulating properties. Further, the use of hybrid FRP reinforcements, in lieu of conventional steel reinforcements requires better understanding under different parametric conditions. Therefore the present study deals mainly with the behaviour of Concrete Deep beams with and without openings reinforced internally with hybrid type Fibre Reinforced Polymer (FRP) reinforcements under static loading conditions. In structural applications, deep beams are commonly used as large span structures such as transfer girders in buildings, bridges, foundation walls, shear walls and offshore structures. In this study,high strength concrete deep beams are investigated. Among the eight beams, four beams are reinforced internally using conventional reinforcements with and without web opening, four beams are reinforced internally using hybrid FRP reinforcements with and without web openings. Different parameters like, high strength concrete, web opening positions (Top, Middle and Bottom), span sprinkled FRP hybrid reinforcements are considered. Based on this study, static load carrying capacities and their modes of failures of deep beams reinforced internally with FRP hybrid type reinforcements for various web openings positions are compared by finite element modelling using ANSYS software with the existing theories for better under standings. Based on the modelling and theoretical work, final conclusions of the present study are derived. 09 30 2020 300 305 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7823.0991120 https://www.ijitee.org/portfolio-item/K78230991120/ ADEETC, Instituto Superior de Engenharia de Lisboa and Centre of Technology and Systems, Lisbon, Portugal. Vítor Fialho* Fernando Fortes ADEETC, Instituto Superior de Engenharia de Lisboa and Instituto de Telecomunicações, Lisbon, Portugal. Smart Cities concept increased the number of end devices (ED) which allow the acquisition of parameters for further analysis and processing. The actual technologies based on Internet of Things (IoT) enable sensors connectivity to Internet. This feature allows real time acquisition of several physical data important for smart cities monitoring. In order to minimize the power consumption, Low Power Wide Area Networks (LPWAN) assumes an important role on the evolution and growing of wireless network sensors. In this particular type of network, LoRaWAN has taken the lead, among other technologies. Typically most end devices need to be powered with batteries, since they are in remote zones. Therefore one important issue to consider is the global power consumption of the end device building blocks: LoRa transceiver, microcontroller unit and sensor unit. This paper presents the study and simulation results supported on LoRa modulation parameters, in order to estimate the battery lifetime, which is useful for IoT remote sensing units. The achieved results denote it is possible to configure LoRa transceiver with similar parameters and different payloads, reaching the same battery lifetime. 09 30 2020 306 310 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7824.0991120 https://www.ijitee.org/portfolio-item/K78240991120/ Computer department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Vruddhi Mehta* Rajasi Adurkar Computer department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Kriti Srivastava Computer department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Education is a dominating strand in accomplishing indelible economic progress. It is complex and nuanced. Grades outline the shape of our institutional system. It is the most powerful bargaining chip, at once cherished and dreaded by most students, the unyielding mallet of teachers and parents compressed into a single letter. However, the grading system is not an efficient way to gauge intelligence. The domains of Data Mining (DM) and Business Intelligence (BI) aim at deriving impactful insights from unprocessed data and propose techniques that can encourage a change in the education system. Our work plans to analyze students in secondary year of education using Business Intelligence and Data Mining techniques. These algorithms assist in finding patterns. It covers a broad scope of statistics, machine learning, and database systems. Past evaluations are influential in their performance. Insightful research shows that there are some other pertinent features (for example, department, age, romantic relations, outings, and goals). The methodology uses seven different algorithms and compares them to find the most suitable one. Visualizations help understand each factor thoroughly. As a result of this research, we can also analyze the reason behind a student’s achievements. Each student faces several hurdles. The system should not focus only on improving student’s grades but should also be concerned with the other aspects affecting their scores. The paper presents the research of the factors affecting the student’s grades the most. 09 30 2020 311 316 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7826.0991120 https://www.ijitee.org/portfolio-item/K78260991120/ MSc IT Student East College, Muscat, Sultanate of Oman Salim Said AL Ghadani* Dr. C. Jayakumari Faculty, Dept. of Computing, Middle East College, Muscat, Sultanate of Oman with fires spreading increasingly around the world due to increasing global warming, it has become imperative to develop an intelligent system that detects fires early, using modern technology. Therefore, we used one of the artificial intelligence techniques, which is deep learning, which is one of the popular methods now. Professionals have done a lot of research, experiments, and coding software to detect fires using deep learning. Through this paper, we review current methods that are reached by industry professionals, as well as data sets and fire detection accuracy for each method. 09 30 2020 349 356 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7836.0991120 https://www.ijitee.org/portfolio-item/K78360991120/ Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India. Pushpendra. R. Verma* Amit Kumar Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India. Sajal Swapnil Department of Electronics & Communication Engineering, NIT Kurukshetra, Haryana, India. Rakesh Ranjan Vice Chancellor, Himgiri Zee University, Dehradun, India. Underwater wireless sensor network (UWSN) is an emerging technology that has been used for different applications such as warning systems for disasters, monitoring the ecosystem, drilling of the oil, defense surveillance. Although underwater communication may be accomplished using electromagnetic or optical waves, but these methods are not feasible for practical UWSN, due to signal attenuation. UWSN faces several issues like restricted bandwidth, irregular node mobility, increased delay etc. which affects the routing behavior. In this paper, an optimal delay and lifetime aware depth based routing (ODLDR) protocol is proposed. Protocol first introduced the group partitioning algorithm for cluster formation that minimizes the energy consumption of network then an efficient priority based scheduling algorithm is proposed for trust computation, which helps in finalizing the CH and routing path. The ODLDR protocol is tested with the high density nodes in Network Simulator (NS2) tool. The simulation results shows the effectiveness of the ODLDR protocol in terms of energy consumption, packet delivery ratio, positioning accuracy, end-to-end delay, throughput and network lifetime. 09 30 2020 357 364 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7837.0991120 https://www.ijitee.org/portfolio-item/K78370991120/ Department of Electrical Engineering, Tripura University, Suryamaninagar, Tripura, India. Rubi Debbarma* Dr. Champa Nandi* Department of Electrical Engineering, Tripura University, Suryamaninagar, Tripura, India. In this paper, maximum power point tracking (MPPT) using Grey wolf optimization (GWO) algorithm is presented using MATLAB/Simulink. As we know that meta-heuristic or nature-inspired algorithm has proven to be superior in performance compared to the conventional MPPT methods. Grey Wolf optimization algorithm is a meta-heuristic algorithm based on the hunting behaviour of grey wolves. The proposed system includes modelling of PV system under changing irradiance and the MPPT control is driven by GWO algorithm. Most of the conventional MPPTs are unable to track multiple peaks and also shows oscillations on the output side, for this reason proposed MPPT algorithm is used in this paper. For eliminating oscillations, this algorithm has proven to be better compared to perturb and observe (P&O) and particle swarm optimization (PSO). The results are compared in terms of output power. 09 30 2020 365 371 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7838.0991120 https://www.ijitee.org/portfolio-item/K78380991120/ Student Computer Science Engineering (M.E. 4th Sem) Indore Institute of Science & Technology, Indore (M.P.) Nikita Kayarkar* Uday Singh Kushwaha Asst. Professor Computer Science Department Indore Institute of Science & Technology, Indore (M.P.) Prashant Richhariya Asst. Professor Computer Science Department Indore Institute of Science & Technology, Indore (M.P.) The consequent deployment of vital infrastructure to provide the secure communication and virtualization not only rectifies the challenges and difficulties but also benefits with saving the process of digitization. With a bang in evolution of cloud computing the uniqueness of every organization affects the virtualization of its information communication technology and applications. The answer for such organizations is to stipulate the precise cloud computing model equivalent to the deliberated and operational goals. This research article emphasized at budding and optimizing a framework for virtual infrastructure and cloud computing model to support the organization stakeholders. Moreover it also improves the cloud security with a protected virtual infrastructure and communication model with better performance. On account of data storage security necessities and distinctiveness of cloud computing environment, a method for secured data & storage based on dynamic allocation and access control mechanism is presented. Dynamic resource allocation is applied for resource utilization that focused on data virtualization and memory virtualization, for protection and access control a modified KPABE algorithm is integrated. The combination of these methods resulting on the optimize resource use, centralizing of storage. The implementation and comparison of results revealed that the proposed modified KP-ABE has performed effectively than the other security standards and especially for resource utilization. The proposed method serves for efficient data storage, access control solutions and computation in cloud environment. 09 30 2020 399 405 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7840.0991120 https://www.ijitee.org/portfolio-item/K78400991120/ dept of Informatics, Universitas Mulawarman, Samarinda City, Indonesia. Edy Budiman* The teaching and learning process during the Covid-19 pandemic made it difficult for students to provide internet data packages for access online learning media from home. An internet assistance program policy is provided to support student online learning. In order for the distribution of internet data to students is objective and proportion, for that reason, measuring the amount of data usage and then used in decision making. The method used in measuring data usage is the Drive-test method for incoming and outgoing data bandwidth. As for the analysis of data assistance decision making using the optimization method and the Rank Order Cendroid (ROC) weighting method for each criterion. Measurement results of internet data usage obtained an average value of 407MB-1.0GB per hour with 40 participants in the group. The results of the decision making analysis method for internet data assistance obtained the highest optimization value obtained by 0.40117 with a weighted ROD value of 0.4667. The research study on internet data usage and optimization of decision-making methods is a case study in the Computing classification field: networks and applied computing. Both are implemented in management optimization internet data assistance to students. 09 30 2020 372 378 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7845.0991120 https://www.ijitee.org/portfolio-item/K78450991120/ Department of Computer Science and Engineering, SRMIST, Chennai, India. Sonal Ayyappan* C Lakshmi Department of Software Engineering, SRMIST, Chennai, India. The rate of transferring data in the form of text, image, video or audio over an open network has drastically increased. As these are carried out in highly sophisticated fields of medicine, military and banking, security becomes important. In- order to enhance security for transmission, encryption algorithms play a vital role. So as to enhance the proficiency of the existing encryption methods and for stronger anti attack abilities, chaotic based cryptography is essential. Chaotic based encryption has advantages of being sensitive to initial conditions and control parameters. Images have features like bulk data capacity and high inter pixel correlation. Transmission of such medical data should be highly confidential, integral and authorized. Hence chaos-based image encryption is an efficient way of fast and high-quality image encryption. It has features like good speed, complexity, highly secure, reasonable computational overhead and power. In this paper a comprehensive analysis and an evaluation regarding the capabilities of different discrete time domain chaotic maps were carried out on a proposed image encryption method. The experimental results show high efficiency for the proposed image encryption technique. 09 30 2020 393 398 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7850.0991120 https://www.ijitee.org/portfolio-item/K78500991120/ M.tech in power electronics and electrical drives from G.Narayanamma institute of technology and science , Hyderabad. K. Navyasree* Dr. N.Malla Reddy M.tech from JNTU, Hyderabad and PhD from JNTU Hyderabad. Permanent magnet synchronous motors in electric vehicles are gaining more and more attention because of its high performance and high torque to inertia and high power density. PMSM Motor should operate in four quadrant operation at different driving characteristics the torque speed characteristics of the motor is observed. Battery and super capacitor is used for energy sources to the permanent magnet synchronous motor the design of electric vehicle is onboard charging system. Battery and supercapacitor are hybrid energy sources. PMSM motor is controlled by using field oriented control technique. Voltage source inverter is used to control the speed of the PMSMS motor at different frequencies. The control technique used for VSI is space vector control technique. Using MATLAB/Simulink. 09 30 2020 379 382 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7852.0991120 https://www.ijitee.org/portfolio-item/K78520991120/ PhD Scholar JJTU and currently working as Assistant Professor in JSPM’s Bhivarabai Sawant Institute of Technology and Research Institute, Wagholi. Pune,Maharashtra,India Mrs. Manjusha Sham Patil* Dr.Anwar M Mulla Doctorate in Electrical Engineering currently working as Principal in Shivaji University,Maharashtra,India Alternative energy is extracted via unlimited resources. Appropriate practice of energy assets is a great debate heading these times. It is extremely significant to determine of which resource needs to be employed and for what reason. Number of points just like cleanness, expense, steadiness, effectiveness and so geographical impacts needs to be considered. Because of India getting the world’s 4th leading emitter of Carbon Dioxide, it is vital to figure out what precisely the India's exhausts are presently as well as, just where these may be advancing. Considering India’s early on level of monetary evolution, poor per-capita exhausts and so its significant populace, certainly, there is distinctive probability to get its exhausts to boost. Hence, certainly, there is a requirement of option to lessen this carbon foot printing as per Kyoto protocol. Hence, this paper presents the methodology to lower the carbon foot printing by means of combinational Pico-energy generation. 09 30 2020 388 392 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7860.0991120 https://www.ijitee.org/portfolio-item/K78600991120/