19c96fd517d854497e8-1f31 20220221052512352 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 09 30 2020 9 3 electrical and electronics engineering department, of the KPR institute of engineering and tecnology ,arasur. Abarna M Jane Lourde Teresha electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur. Maithreyini M electrical and electronics engineering department, of the KPR institute of engineering and tecnology ,arasur. Devisri R Electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur. V. Kumar Chinnaiyan Electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur. Technology is best when it brings people together. Today technology plays a vital role in humanity. Also applied science can make the impossible possible. The proposed project aims to show equality in the safe navigation of visually impaired people just like a normal person. The project aims to help the secure guidance of humans with bad eyesight. This system support the sole in attaining the landing place, leading them across the way and alert them about the barrier that are expected in their path through the vibration and generate simulated speech output through headset. Therefore, this technology hold back them from striking the barrier. It add on value to conventional canes with barrier predicting, preventing human from accident and reducing difficulties in navigation. An ultrasonic sensor is execute to determine the distant of obstacles from the person. It is a Raspberry Pi based platform that is used to alert the person of impending obstacles. Also can create the place for all other components and it has functioning code. Here, a vibration motor is used to warn the person from the collision. Combined with the role of guiding, it also has aid preventing plan in case of emergency. The GPS is included to find the location of person and the location is sent to the person’s family through the notification by means of Blynk app. Accordingly, The project convince the visually impaired people can travel alone without getting fear or accidents at the moment. 09 30 2020 533 536 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4584.099320 https://www.ijrte.org/portfolio-item/C4584099320/ Electronics and Communications Engineering Department, Faculty of Engineering at Helwan University, Cairo, Egypt. Hamdy Amin Morsy Convolutional Neural Networks (CNN) have many applications in object recognition such as character and digit recognition. Few researches are performed on Arabic handwritten digits recognition. In this research, we will develop a new algorithm to utilize the convolutional neural networks with sigmoid function (σ-CNN) to recognize Arabic handwritten digits recognition. The performance of this method provides minimum cost functions with maximum testing accuracy results in compared to other existing techniques. 09 30 2020 520 524 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4588.099320 https://www.ijrte.org/portfolio-item/C4588099320/ Electrical Engineering Department SGSITS Indore, India. Himanshi Koli M.P.S. Chawla Electrical Engineering Department SGSITS Indore, India. Renewable energy in the recent era world-widely has proven to be a major shift for clean energy generation. It is a great opportunity or solutions to address increasing clean energy demand especially in a developing country such as India. As wind energy and solar energy are most commonly used renewable resources, gives their abundance in the region. Focusing aim of the analysis is to present the reliability of pumped hydro storage (PHS) system with respect to battery banks on the basis of operation and maintenance (O&M) cost with minimum loss. Thus, this system will have feasibility and practical capability to provide persistent supply operation to remote areas. The Hybrid Optimization Model for Electric Renewable (HOMER) software also known as HOMER Prois used to conduct simulation of the system. 09 30 2020 502 505 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4597.099320 https://www.ijrte.org/portfolio-item/C4597099320/ Electrical Engineering department, Veermata Jijabai Technological Institute, Mumbai India. Shrugal Varde Dr. M.S. Panse Professor, Electrical Engineering department, Veermata Jijabai Technological Institute, Mumbai India. This paper introduces a novel electronic mobility aid for visually impaired users that helps them navigate in any given environment and avoid knee level to head height obstacles. The mobility aid uses stereo imaging system to capture the images of the area in front of the user. The processing unit generates a disparity map and a segmentation algorithm extracts information about the relative distance of obstacles from the user. This information is relayed to the user in simplified vibration pattern feedback to inform the user of the path to be taken to avoid collision with the obstacle. Special hardware was designed to make the system portable and cost effective.The mobility aid was validated on 55 visually impaired users. The subjects walked in a controlled test environment with a varying number of obstacles placed in their path. The accuracy of the device to help the user avoid obstacles and the average speed of walking of the user were determined. The results obtained were satisfactory and the device has the potential for use in standalone mode as well as in conjunction with a white cane and thus help visually impaired people counter mobility problems. 09 30 2020 556 561 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4603.099320 https://www.ijrte.org/portfolio-item/C4603099320/ B.Tech in Information Technology from GITAM Institute of Technology, Visakhapatnam. Kurshid Madina Saksham Mansotra B.Tech in Information Technology from GITAM Institute of Technology, Visakhapatnam. Nowadays Deep learning was advanced so much in our daily life. From 2014, there is massive growth in this technology as there is a vast amount of data present. We are even getting better results from whatever we may do. In my work, I have used Convolution Neural Networks as my project depends on image classification. So what I’m trying to do is I’m using two classes in which one class is male and one class is female. I’m classifying both the classes and trying to predict who is male and who is female. For this, I have been using layers like Sequential, Convolution2D, Max-pooling, Flattening, and finally Dense. So, I connect all of these layers. I have been using two more extra layers which are Convolution2D and max-pooling connected as one layer for better classifications. In my model, I’m using Adam optimizer as I’m having only two classes and in my experiments, I found Adam as a good optimizer and I use binary cross entropy as my loss function as I’m using only two classes if we have more than two classes we can use categorical loss function and the images which I use for predictions will be converted into 64*64 matrix form. In the end, I will be getting predictions as 1 for male and 0 for female. 09 30 2020 537 540 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4606.099320 https://www.ijrte.org/portfolio-item/C4606099320/ master’s degree in Computer Science from Banasthali Vidhyapeeth, Rajasthan, India. Anjali Dadhich Dr. Blessy Thankachan Ph.D. field of Software engineering, University of Rajasthan, India. With the passage of time and the growth of ecommercea new web world needs to be built their users can share their ideas and opinions differently domains.There are thousands of websites that sell these various products. The quick growth in the number of reviews and their availability and the arrival of rich reviews for rich products for sale online, the right choice for many products has been difficult for users. Consumers will soon be able to verify the authenticity and quality of the products. What better way is there to ask people who have already bought the product? That’s where customer reviews come from. What’s worse is the popular products with thousands of updates — we don’t have the time or the patience to read all of them thousands. Therefore, our app simplifies this task by analysing and summarizing all the reviews that will help the user determine what other consumers have experienced in purchasing this product. This function focuses on mining updates from websites like Amazon, allowing the user to write freely to view. Automatically removes updates from websites. It also uses algorithms such as the Naïve Bayes classifier, Logistic Regression and SentiWordNet algorithm to classify reviews as good and bad reviews. Finally, we used quality metric parameters to measure the performance of each algo. 09 30 2020 653 655 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4614.099320 https://www.ijrte.org/portfolio-item/C4614099320/ International Institute for Halal Research and Training (INHART), International Islamic University Malaysia, Jalan Gombak, 53100, Kuala Lumpur, Malaysia. Najihah Mohd Noor Yumi Zuhanis Has-Yun Hashim International Institute for Halal Research and Training (INHART), International Islamic University Malaysia, Jalan Gombak, 53100, Kuala Lumpur, Malaysia. Muhammad Shirwan Abdullah Sani International Institute for Halal Research and Training (INHART), International Islamic University Malaysia, Jalan Gombak, 53100, Kuala Lumpur, Malaysia. Wan Wardatul Amani Wan Salim Department of Biotechnology Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Jalan Gombak, 53100, Kuala Lumpur, Malaysia. Plant-based electrospun nanofibers are widely fabricated as wound dressing in recent years primarily due to the presence of bioactive compounds which can facilitate the wound healing effects. In this study, poly(vinyl alcohol) (PVA) fibre mats containing Aquilaria malaccensis leaf extract (ALEX) [5, 10 and 15 %(w/w)] were fabricated by electrospinning method as potential wound dressing material. The nanofibers were uniform, beadless and randomly oriented with average diameters ranged between 195.27 – 281.20 nm. The presence of ALEX in the PVA nanofibers were evaluated by Attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) and differential scanning calorimetry (DSC). The mechanical properties, swelling degree and weight loss of nanofiber mats were also determined. ALEX was rapidly released from the ALEX-loaded PVA nanofibers in the first 12 hours and increased gradually afterwards. The released rate of ALEX was dependent on the ALEX content in the PVA nanofibers. This result is also contributed by the swelling degree and porosity of the nanofibers where the results were found to be between 241.66 – 305.86% and 64.53 – 30.81%, respectively. Meanwhile, the tensile stress and maximum elongation at break for all electrospun nanofiber mats were in the range of 8.56 – 2.68 MPa and 205.94 – 166.31%, respectively. The nanofiber mats inhibited growth of Escherichia coli, Vibrio vulnificus, Bacillus subtilis and Staphylococcus aureus with zone of inhibition of 7.5 – 15.0 mm for gram positive bacteria and 6.1 – 11.7 mm for gram negative bacteria. ALEX-loaded PVA nanofibers also showed potent anti-inflammatory activity against lipoxygenase with percentage of inhibition between 80.887 – 86.977%. Taken together, the results of this study suggest that ALEX-loaded PVA nanofibers have the desired properties of bioactive wound dressing 09 30 2020 541 548 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4618.099320 https://www.ijrte.org/portfolio-item/C4618099320/ is an Associate Professor of Department of Management Science, Nepal Commerce Campus, Tribhuwan University, Nepal. Arun Kumar Chaudhary Vijay Kumar Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India. In this article, we have introduced a new distribution based on type I half logistic-G family and exponential extension as a base distribution known as Half Logistic Exponential Extension (HLEE) distribution. The statistical properties of this model are also explored, such as the behavior of probability density, hazard rate, and quantile functions are investigated. The Maximum likelihood estimation (MLE) method is used to estimate model parameters. For the potentiality of the proposed model we have compared the goodness of fit with some others models. We have proven the importance and flexibility of the new distribution in modeling with real data applications empirically. 09 30 2020 506 512 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4625.099320 https://www.ijrte.org/portfolio-item/C4625099320/ Department of Computer Science and System Engineering, University of Miyazaki, Japan. Kenji Sakoma Makoto Sakamoto Department of Computer Science and System Engineering, University of Miyazaki, Japan. Today, there are a lot of images and videos drawn by 3D computer graphics (hereinafter referred to as 3DCG) around us, and 3DCG is permeating our lives [1]. Recently, research and development of 3DCG-related technologies such as 3D printers, AR, and VR have been actively carried out, and further progress in 3DCG can be expected in the future. 3DCG is a technology that creates images and videos by creating objects in a virtual three-dimensional space. CAD, VR, AR, simulators, 3D printers, etc. have been developed as technologies that apply this. One of the reasons why it was applied to such technology is the high expressiveness of 3DCG. It is possible to express various substances such as wood, metal, plastic, and glass, and it is becoming possible to reproduce things that do not have a specific shape, such as flames, smoke, and fluids. One of the researches on such 3DCG technology is digital food, and research is being conducted with the aim of putting it into practical use in the future. Digital food is expected to solve problems related to food freshness management, disposal, new product development simulation, etc., but even with the expressive power of 3DCG, meat and fish are still difficult. I am not good at expressing fresh foods such as vegetables and fruits, and “freshness” and “organic coloring” such as “fresh flowers”. This is one of the issues that cannot be avoided even in the research and development of digital foods and must be solved. In this technology, while understanding the principle of 3DCG, I learned using some software in order to explore what technology is necessary to create a digital food. Also, in learning, we set the goal of “expressing fresh fruits”, which is one of the challenges of digital food, and the gloss of the skin peculiar to fruits, the slight unevenness of the surface, especially the freshness of the cut surface of fruits we focused on reproducing the expression of freshness. 09 30 2020 513 516 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4627.099320 https://www.ijrte.org/portfolio-item/C4627099320/ Department of Computer Science and System Engineering, University of Miyazaki, Japan. Kenji Sakoma Makoto Sakamoto Department of Computer Science and System Engineering, University of Miyazaki, Japan. Colorization, also known as colorization, is a term introduced by Wilson Markle in 1970, and is a method of coloring black-and-white images and videos using a computer. Coloring is important. Imagine coloring a picture as an example. The painting before painting only gives information of existence, such as trees, flowers, and clouds. Some things can be identified by color. This does not give us enough information from the picture. But what about coloring? If you paint the sky red, it will be a sunset, and if you paint the ground green, it will be a meadow. In other words, it is possible to express not only the background but also the background. This makes it possible to read information that cannot be understood only in black and white. With the development of digital devices such as smartphones these days, the chances of seeing black-and-white images are decreasing, but in modern times, black-and-white images are used for X-ray images, MRI images, aerial photographs, fixed-point observations, etc. There are many opportunities to be lost. The development of color photography began in the world in the 1800s, and the development of color photography began in Japan in 1940. In other words, the photographs before that were black and white, and colorization was used to colorize them. Currently, many researchers are studying colorization methods and processes, and the processing time and the burden on users are being reduced. However, software that can perform highly complete colorization is expensive, and some are complicated to operate. Therefore, in this research, as basic research for the development of a fully automatic colorization program for free software, color images (template images) lacking information by template matching using ZNCC and black-and-white images with similar brightness patterns are colored. We made a prototype of a colorization program that restores images. 09 30 2020 517 519 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4628.099320 https://www.ijrte.org/portfolio-item/c4628099320/ M.Tech Scholar, Dept. Of Electronics and Instrumentation Engineering, RV College of Engineering, Bangalore India. Pallavi S Biradar Dr. Anand Jatti Associate Professor, Dept. Of Electronics and Instrumentation Engineering, RV College of Engineering, Bangalore India. In the past recent, identification of a person in an effective manner is a foremost concern for any security authentication in numerous applications such as, banking, e-commerce, communications etc. One of the best identification technology for person identification and authentication compared with the existing password based authentication is the multimodal biometric technology. Multimodal can be defined as, a system which uses two or more biometrics for identification of person. In the paper we propose a multimodal bio-metric system with a unique methodology and features extraction method incorporated in system for a secure authentication. The two modalities used in the system are face and thumb. We use Harris based image feature extraction for both and choose the best unique features from both and fused using concatenation. The extracted unique features are embedded in a cover image using modulo operator based steganography technique. This encrypted data is shared as an image file to the receiver for authentication. At the receiver end the hidden features are decrypted and separated into face and thumb features. These decrypted features are compared with the pre-trained authorized person feature, based on the multi-svm classifier result the person is decided as authorized or unauthorized. The accuracy of the system is been calculated and was resulted in a good accuracy. The system can be made much more secure by adding an additional secret key for encryption and decryption. 09 30 2020 550 555 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4629.099320 https://www.ijrte.org/portfolio-item/C4629099320/ Department of Computer Science & Engineering, Visvesvaraya Technological University, Belagavi, India. Mr. Rohit B Kaliwal Dr. Santosh L Deshpande Dr. Santosh L Deshpande, Department of Computer Science & Engineering, Visvesvaraya Technological University, Belagavi. The knowledge acquirement by the learner is a major assignment of an E-Learning framework. Evaluation is required in order to adapt knowledge resources and task to learner ability. Assessment provides learner’s an approach to evaluate the skills gained through the e-learning domain they are accessing. A dissimilar method can be used to assess the information acquirement, such as probabilistic Bayesian Network model. A Bayesian Network is a graphical representation of the probabilistic relationships of a complex system. This network can be used for reasoning with uncertainty. Bayesian Network is the most challenging task in e-learning system as learner evaluation model are an element of uncertainty. In this paper the current proposed scheme is constructed on Bayesian Network to deduce the stage of knowledge possessed by the learner. It also proposes type of assessment to identify the knowledge whatever the learner identifies. Throughout the assessment, it can be performed by two approaches namely Sequential and Random. In Sequential approach, questions can be displayed on the learner machine in sequential order. In Random approach, questions can be displayed on the learner machine in random order. However, both have their inherent limitations. Questions that are considered to be answered easily by the learner may also be presented to the learner who is not desirable. This system determined on the illustration of Bayesian Network model and algorithm for inference about learner’s knowledge. The Bayesian Network model was efficiently implemented for three levels of learner called Higher Learners (HL), Regular Learners (RL) and Irregular Learners (IL) for learner’s assessment and was successfully implemented with 81.1% of probabilities for learner’s assessment. 09 30 2020 562 566 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4635.099320 https://www.ijrte.org/portfolio-item/c4635099320/ School of Housing Building and Planning. Universiti Sains Malaysia. Noor Faisal Abas Omosebi. Taiwo.O School of Housing Building and Planning. Universiti Sains Malaysia. The rapid increase of plastics waste produced worldwide today poses a danger to human health because of the pollution caused by the unsafe disposal and non-biodegradability of this waste combined with toxic gas emissions during incineration. Globally, PET (polyethylene terephalate) is commonly used for bottling water and other plastic containers. Recycling the waste would be an additional benefit. This study focuses some researchers on the forms, methods of recycling and various literature applications of PET wastes. Recycled PET can of course be used when combined with the sand aggregate to manufacture of various construction materials, such as tiles, bricks, paving stones etc. This research focuses on its application as it attracts substantial building materials such as the manufacture of various PET waste tiles and their unique mechanical , physical and chemical properties; There are some important studies discussed in relation to PET waste, recycling methods , and results from the study. Even various applications are described here. Its usefulness is further defined as roofing Composite concrete, floor tiling and other applications. 09 30 2020 656 663 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4636.099320 https://www.ijrte.org/portfolio-item/C4636099320/ Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India. Rutuja Gugale Pratiksha Sonar Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India. Anagha Mandekar Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India. Sonali Ubale Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India. Vaishali Latke Assistant Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India. Nowadays the leading techniques for diagnosing and revealing the different diseases are image processing. And there is an increase in the cases of cancer these days. The unrestricted development of cells cause’s lumps which leads to brain tumor also called glioblastoma. There are mainly two types of tumor benign which has covering over the tumor and malignant is the one which spreads throughout the places. Earlier the development of unrestricted cells used to be diagnosed by doctors physically through monitoring the image by which the results were not used to be precise sometimes. But time along boarding of medical fields lead to different medical facilities by which the results could be precise. The broadly approach method of imaging that scrutinizes the internal structure of the human race is Magnetic resonance Imaging. This approach of imaging techniques is also used for detecting brain tumors. The detection of glioblastoma processes has machine vision methods such as Image pre-processing, Segmentation in Image, Feature extraction and classification. Several image segmentation and image classification techniques are available for detecting tumor of the brain. Convolution neural networks (CNN) based classifiers are proposed to prevail the limitations. This CNN is such a classifier which is used to differentiate between the competent data and the trail data, from which the results could be obtained. 09 30 2020 714 717 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4644.099320 https://www.ijrte.org/portfolio-item/C4644099320/ Nanoscience Laboratory, Department of Physics, Aliah University, IIA/27, New Town, Kolkata, India. Sk. Faruque Ahmed Mohibul Khan Nanoscience Laboratory, Department of Physics, Aliah University, IIA/27, New Town, Kolkata, India. Nillohit Mukherjee Center of Excellence for Green Energy and Sensor Systems, Indian Institute of Engineering Science and Technology, Howrah, India. Radio frequency plasma enhanced chemical vapor deposition technique has been used to synthesized graphitic carbon nanofibers thin films. Ni catalyst in thin film form used for the synthesis of carbon nanofibers. The deposition temperature of the substrate has been varied from 500 – 600 0C. The morphology of the CNF thin films changed with the variation of substrate temperature. The graphitic phase of the synthesized carbon nanofibers has confirmed by X-ray diffraction patterns analyses. Field emission scanning electron microscopic studies showed fibrous structure in the films. The length of the carbon nanofibers few micrometers and the diameter range 300-400 nm. The different vibrational modes of carbon nanofibers analyzed using Fourier transformed infrared spectroscopy measurements. Photoluminescence of the carbon nanofibers have also been studied which showed a strong emission peak at 468 nm. 09 30 2020 567 570 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4646.099320 https://www.ijrte.org/portfolio-item/C4646099320/ Assistant Professor, Nazi Boni University, Burkina Faso. Telesphore Tiendrebeogo Cheick Yacouba Rachid Coulibaly Nazi Boni University, Burkina Faso. Maliki Badolo Nazi Boni University, Burkina Faso. The digital revolution has led to an increase in the production and exchange of valuable digitized documents across institutions, companies and the general public alike. Ensuring the authenticity, integrity and ownership of these official or high-value documents is essential if they are to be considered useful. Digital watermarking is a possible solution to this challenge as it has already been used for copyright protection, source tracking, and video authentication to name just a few applications of its use. It also enables integrity protection, which is of value for numerous documents types (e.g., official documents, medical images). In this paper, we propose a new watermarking solution that is applicable to image watermarking and is based on hyperbolic geometry. Our new solution builds upon existing work in geometrical watermarking. 09 30 2020 617 619 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4651.099320 https://www.ijrte.org/portfolio-item/C4651099320/ Computer Science and engineering, Amrita Vishwa vidyapeetham, , Coimbatore, India. Yendluri Lohith Jayasurya Yendluri Priya Yasaswini Computer Science and engineering, SRM institute of technology, Amravathi, India. Somepalli Saranya Electronics and communications engineering, vellore institute of technology, Vellore , India. Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The advantage of steganography is that the intended secret message does not attract attention to itself as an object of scrutiny. Steganography is concerned both with concealing the fact that a secret message is being sent and its contents. The change is so subtle that someone who is not specially looking for it is unlikely to notice the change. We intend to perform image steganography by designing a neural network that prepares the secret jpg image and hides the prepared jpg image in a cover jpg image. 09 30 2020 602 605 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4654.099320 https://www.ijrte.org/portfolio-item/C4654099320/ Department of Mechanical Engineering, National university of Trujillo, Perú. Víctor Alcántara Alza The effects of the cyanide treatment (CN) in a salt bath at elevated temperatures on the hardness; adhesive and abrasive wear; of ASTM A-517 steel, were investigated. For abrasive wear, 1” x 3” x 5/16″ samples were prepared according to ASTM G-65 standard. For adhesive wear, specimens wit ring-shaped: φ ext. = 40 mm, φ int = 20 mm and 10 mm thick, according to ASTM G -77. The CN treatment was carried out, at high temperatures: 800 – 850 – 900 – 950 °C, immersing the samples in a salt bath: 6% NaCN + 80% BaCl2 + 14% NaCl before entering the muffle furnace, with soaking time of 3 hr. Hardness tests were performed on a Rockwell Durometer taking measurements on the HRC scale. The adhesive wear tests were carried out on a parallel lathe coupling the Amsler device, following the ASTM G-77 standard. The abrasive wear tests were performed according to the ASTM G65 standard. Microscopy was done at the optical level. A maximum hardness of 63.5 HRC was found in all samples, representing an increase of 11.3% with respect to the state of supply (T&R). In abrasive wear, its value increased to 66%, compared to supply samples. The most suitable microstructure is presented by cyanide samples at 850ºC, with a layer of compounds (hard layer) formed by: massive cementite; tempered martensite and carbide. It is concluded that when applying cyanide to ASTM A-517 steel, the hardness and wear properties are increased to optimal values, if the cyanide treatment (CN) is carried out at 850 °C. 09 30 2020 571 580 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4656.099320 https://www.ijrte.org/portfolio-item/C4656099320/ Department of Computer Sciences, BGSBU University Rajouri, J&K, India. Najmu Nissa Sanjay Jamwal Sr. Assistant Professor, Department of Computer Sciences BGSBU Rajouri, J&K, India. Shahid Mohammad Department of Computer Sciences, BGSBU University Rajouri, J&K, India. Human body prioritizes the heart as the second most important organ after the brain. Any disruption in the heart ultimately leads to disruption of the entire body. Being the members of modern era, enormous changes are happening to us on a daily basis that impact our lives in one way or the other. A major disease among top five fatal diseases includes the heart disease which has been consuming lives worldwide. Therefore, the prediction of this disease is of prime importance as it will enable one to take a proper and needful approach at a proper time. Data mining and machine learning are taking out and refining of useful information from a massive amount of data. It is a basic and primary process in defining and discovering useful information and hidden patterns from databases. The flexibility and adaptability of optimization algorithms find its use in dealing with complex non -linear problems. Machine Learning techniques find its use in medical sciences in solving real health-related issues by early prediction and treatment of various diseases. In this paper, six machine learning algorithms are used and then compared accordingly based on the evaluation of performance. Among all classifiers, decision tree outperforms over the other algorithms with a testing accuracy of 97.29%. 09 30 2020 635 641 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C46570.99320 https://www.ijrte.org/portfolio-item/C4657099320/ Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India. R. Sundaramoorthy J.Justin Maria Hillary Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coim batore, Tamil Nadu, India. S.R.Raja Balayanan Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India. K. Kalidas Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology,Coimbatore, Tamil Nadu, India. R.V. Rangarajan Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India. Glass fibre-reinforced polymer composites find numerous applications in today ‘s aggressive world because of their different benefits such as high wear resistance, strength to weight ratio and low cost. Particle fillers can be further enhanced with the added composite efficiency. Titanates are successfully used as polymer filler to achieve this. A number of these short-glass epoxy composites and the study of their wear behavior are included in current work. They are manufactured and characterized. It also outlines a technique for parametric analysis of the sliding wear behavior, based on Taguchi’s test-design approach. 09 30 2020 642 647 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4661.099320 https://www.ijrte.org/portfolio-item/C4661099320/ Department of TCE R V College of Engineering Engineering Bengaluru, India. C Ankita Supriya A Department of TCE R V College of Engineering Engineering Bengaluru, India. Dr. Bhagya R Department of TCE R V College of Engineering Engineering Bengaluru, India. The millimeter wave (mm-wave) is expected to play a crucial role in providing broad frequency bandwidth for large data transmission. The restrictions of wave propagation are anticipated to get eliminated in mm-wave propagation through the assistance of antenna technologies. The higher frequency spectrum prevalence of the 5G applications are likely to be dependent on a small advanced antenna technology. This paper presents an antenna design which uses Mylar as substrate for the 5G wireless applications. The structure of the antenna adopted here is of a T-shaped patch designed with ideal symmetrical slot structures. To increase the bandwidth the idea of defective ground structure (DGS) is used. The antenna model discussed here shows a high impedance bandwidth and a fair radiation pattern in the required direction with a maximum gain of 8.35dB at 28 GHz frequency. The proposed antenna is compared with the basic microstrip patch antenna which is designed at low frequency to prove that the bandwidth is enhanced and so other parameters in the proposed antenna such that it is suitable for mm-wave 5G wireless applications. 09 30 2020 606 610 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4663.099320 https://www.ijrte.org/portfolio-item/C4663099320/ Informatics Department, Universitas Mulawarman, Samarinda, Indonesia. Edy Budiman Andi Tejawati Informatics Department, Universitas Mulawarman, Samarinda, Indonesia. Ummul Hairah Informatics Department, Universitas Mulawarman, Samarinda, Indonesia. Borneo bioinformatics portal test is a critical element of SQA and represents a comprehensive review of specifications, design and coding. The test represents an abnormality in the development of the portal. A series of tests systematically reveals several different types of errors. This study aims to evaluate the performance and optimization of Borneo’s Bioinformatics portal with a series test activities using the Web Performance Optimization methodology. Testing query performance with measuring the response time and page loading timings from the object relationship mapping (ORM) model Laravel PHP framework in offline and online. For optimization, we set a pre-test and post-test scenario to evaluate the efficiency performance test results. The results study found that the query relation model, parsing script (javaScript and CSS), service scale and dimension images in the interaction process to the database are the dominant resources affecting the performance of the Bioinformatics portal. Performance optimization through determining the appropriate query relation model, minify and defer parsing script or combine images using CSS sprites to reduce scala image. 09 30 2020 581 588 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4666.099320 https://www.ijrte.org/portfolio-item/C4666099320/ Department of Computer Engineering, K.J. Somaiya College of Engineering, Vidyavihar, Mumbai, Maharashtra, India. Heet Savla Vruddhi Mehta Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai, Maharashtra, India. Ramchandra Mangrulkar Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai, Maharashtra, India. The world is reworking in a digital era. However, the field of medicine was quite repulsive to technology. Recently, the advent of newer technologies like machine learning has catalyzed its adoption into healthcare. The blending of technology and medicine is facilitating a wealth of innovation that continues to improve lives. With the realm of possibility, machine learning is discovering various trends in a dataset and it is globally practiced in various medical conditions to predict the results, diagnose, analyze, treat, and recover. Machine Learning is aiding a lot to fight the battle against Covid-19. For instance, a face scanner that uses ML is used to detect whether a person has a fever or not. Similarly, the data from wearable technology like Apple Watch and Fitbit can be used to detect the changes in resting heart rate patterns which help in detecting coronavirus. According to a study by the Hindustan Times, the number of cases is rapidly increasing. Careful risk assessments should identify hotspots and clusters, and continued efforts should be made to further strengthen capacities to respond, especially at sub-national levels. The core public health measures for the Covid-19 response remain, rapidly detect, test, isolate, treat, and trace all contacts. The work presented in this paper represents the system that predicts the number of coronavirus cases in the upcoming days as well as the possibility of the infection in a particular person based on the symptoms. The work focuses on Linear Regression and SVM models for predicting the curve of active cases. SVM is least affected by noisy data, and it is not prone to overfitting. To diagnose a person our application has a certain question that needs to be answered. Based on this, the KNN model provides the maximum likelihood result of a person being infected or not. Tracking and monitoring in the course of such pandemic help us to be prepared. 09 30 2020 678 683 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4676.099320 https://www.ijrte.org/portfolio-item/C4676099320/ Doctorial Research Scholar, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi,, India. S.R.Pranav Sai Ajay Singh Pawar, Pawar Master’s Student, Department of Mathematics and Computer science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi India. Satya Sai Mudigonda Senior Tech Actuarial Consultant, Hon. Professor in Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning Puttaparthi, India. Phani Krishna Kandala Visiting faculty, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Dr. Pallav Kumar Baruah Associate Professor, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. A company’s sustainability is driven significantly by its operational efficiency. Operational efficiency plays a significant role in the growth and the profitability of a company. Thus, operational efficiency of a company forms the basis for the metrics known as the Key Performance Indicators(KPIs). These KPIs bridge the concept of performance an operation and a means to measure the same quantitatively. In this work, we used Recurrent Neural Network (RNN) with the Long Short Term Memory(LSTM) cells for projecting the public disclosure data of select General Insurance(GI) companies operating in India to the future. We use this data to calculate the KPIs pertaining to the operations of general insurance companies and calculate how the operations of the GI company affect its performance at various levels. Since this analysis is done for the projected data, we get a framework to assess the sustainability of the GI companies by monitoring these KPIs in real-time. The complex RNN and LSTM algorithms were implemented with the help of the Google Colaboratory platform by using the GPUs of the Google Hardware with the help of the Cloud Computing framework. 09 30 2020 728 738 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4679.099320 https://www.ijrte.org/portfolio-item/C4679099320/ Assistant Professor III, Nueva Vizcaya State University, Bayombong, Nueva Vizcaya, Philippines. Joan Hazel V. Tiongson Marifel Grace C. Kummer Dean, School of Information Technology and Engineering, St. Paul University Philippines – Tuguegarao City, Phulippines. In this highly challenging and demanding world, presence of data and technology are overwhelming. But at present, some institutions still engage in manual-type of operations like the Rural Health Unit of the Municipality of Solano, Nueva Vizcaya. Problems, issues and challenges encountered by the unitin the delivery of its medical servicesand the extent of compliance in ISO/IEC 25010 Software Quality Standards were identified. And with the uncontrollable availability of data, these can be handled and treated using data mining techniques to predict disease occurrences. In this study, the clustering and classification data mining techniques were utilized in order to predict disease occurrences of every barangay of the municipality at a given time. An efficient record management system along with a decision support system was developed to meet the challenges of the unit. It mainly features the disease-occurrence mapping to assist physicians and other health professionals in the unit in their decision-making tasks particularly in diagnosis, treatment and recommendations. In terms of ISO/IEC 25010 Software Quality Standards, the system gained a “very great extent” qualitative rating. 09 30 2020 611 616 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4681.099320 https://www.ijrte.org/portfolio-item/C4681099320/ Senior Research Engineer of Department of Business Research, Sogang University, Seoul. Junhwan Moon A suspected patient with symptoms similar to coronavirus infection-19 was identified for the first time on January 8, 2020 in Korea. After that, the world was dominated by COVID-19. People all around the world must face a new society that will be changed by COVID-19. To prepare for such future, this study collected related words around the keyword COVID-19 and has predicted what risk factors and opportunity factors occur. As a result of SNA analysis by collecting news data from January to May, 2020, when COVID-19 was rapidly spreading, the key words “Prevention of epidemics”, “Inspection”, “Quarantine”, “Infection”, “Government”, Keywords such as “Patient”, “Addition”, “Diffusion”, “Judgment” and “Prohibition” have had important influences. Furthermore, COVID-19 has been affecting the daily lives of individual citizens, and their interest in the government response process increased. Therefore, the response to the new infectious disease must be quarantine based on science and technology and data, and it is imperative to establish a legal basis for using social facilities as treatment facilities. 09 30 2020 684 690 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4682.099320 https://www.ijrte.org/portfolio-item/C4682099320/ Lecturer, Department of Information Technology, Shaheed Rabbani Education University, Kabul, Afghanistan. Islahuddin Jalal Hashmatullah Rasekh Student, Department of Information Technology, Bakhtar University, Kabul, Afghanistan. Qudratullah Omerkehl Lecturer, Department of Information System, Shaheed Rabbani Education University, Kabul, Afghanistan. Qamaruddin Shamsi Lecturer, Department of Information Technology, Shaheed Rabbani Education University, Kabul, Afghanistan. Improving ICT management strategies is an ongoing need for almost all organizations. At the same time, the challenges that BYOD brings to the organization need to be carefully considered. BYOD terminology can refer to related concepts, technologies, and strategies that enable employees to use organizational resources. The use of different databases, applications, and personal devices such as smartphones, laptops, tablets, and any other mobile device such as memory chips and external hard drives can provide examples of these resources. The implementation of BYOD has brought a clear advantage to the organization. However, the use of BYOD in organizations can pose some risks and threats. The main purpose of this study was to analyze BYOD risks in Afghan organizations through cross-sectional quantitative research methods. An online survey of 24 questions was conducted on various aspects of BYOD risk from various organizations in Afghanistan. Through the use of raw data, survey results related to BYOD implementation in Afghanistan have been collected. Thus, the researchers found out that IT staffs have a low level of awareness of the risks and challenges of BYOD security and the latest technologies used by Afghan organizations. Finally, recommendations have been made. 09 30 2020 691 698 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4684.099320 https://www.ijrte.org/portfolio-item/C4684099320/ College of Engineering and Information Technology (CEIT), Surigao State College of Technology, Siargao Islands, Philippines. Romy Jun A. Sunico Elwin S. Argana CEIT, Surigao State College of Technology, Siargao Islands, Philippines. Mark Anthony T. Golo CEIT, Surigao State College of Technology, Siargao Islands, Philippines. Maribel A. Aniňon CEIT, Surigao State College of Technology, Siargao Islands, Philippines. This paper discusses the ideas and process of developing a mobile locator application for Vulcanizing Shops in Siargao Island with Global Positioning System (GPS) and Google Map Application Programming Interface (API). This mobile application is an innovation tool to show the location, availability and services of the vehicle services shops available in the island to ease the hassle of the tourists with vehicle errors. It also provides shortest possible route method that includes relevant information about the services of the shops. The study adopts the Rapid Application Development model and used ISO 9126 to evaluate the application in terms of usability (4.37), functionality (4.13) and Maintainability (4.20). Therefore, the application is certain to provide a significant support to the local and foreign tourists; therefore, providing an accurate and hassle time-free locating a vulcanizing shops. 09 30 2020 648 652 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4685.099320 https://www.ijrte.org/portfolio-item/C4685099320/ Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Rohan Yashraj Gupta Satya Sai Mudigonda Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Pallav Kumar Baruah Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Phani Krishna Kandala Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Fraud acts as a major deterrent to a company’s growth if uncontrolled. It challenges the fundamental value of “Trust” in the Insurance business. COVID-19 brought additional challenges of increased potential fraud to health insurance business. This work describes implementation of existing and enhanced fraud detection methods in the pre-COVID-19 and COVID-19 environments. For this purpose, we have developed an innovative enhanced fraud detection framework using actuarial and data science techniques. Triggers specific to COVID-19 are identified in addition to the existing triggers. We have also explored the relationship between insurance fraud and COVID-19. To determine this we calculated Pearson correlation coefficient and fitted logarithmic regression model between fraud in health insurance and COVID-19 cases. This work uses two datasets: health insurance dataset and Kaggle dataset on COVID-19 cases for the same select geographical location in India. Our experimental results shows Pearson correlation coefficient of 0.86, which implies that the month on month rate of fraudulent cases is highly correlated with month on month rate of COVID-19 cases. The logarithmic regression performed on the data gave the r-squared value of 0.91 which indicates that the model is a good fit. This work aims to provide much needed tools and techniques for health insurance business to counter the fraud. 09 30 2020 699 706 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4686.099320 https://www.ijrte.org/portfolio-item/C4686099320/ Department of ICT, Comilla University, Cumilla, Bangladesh. Amena Begum Md. Zahidur Rahman Department of CSE, Britannia University, Cumilla, Bangladesh. Nurunnahar Nancy Department of ICT, Comilla University, Cumilla , Bangladesh. Md. Enamul Haq Department of ICT, Comilla University, Cumilla, Bangladesh. A Mobile Ad-hoc Network (MANET) is an independent assortment of mobile users that communicate over moderately bandwidth constrained wireless links. MANET’s topology is dynamic that can change rapidly because the nodes move freely and can organize themselves randomly; has the advantage of being quickly deployable. Although numerous routing protocols have been proposed for mobile ad hoc networks, there is no universal scheme that works well in scenarios with different network sizes, traffic loads and node mobility patterns, so mobile ad hoc routing protocol election presents a great challenge. In this paper, an attempt has been made to compare the performance of three routing protocols in Mobile Ad-hoc Networks – Ad-Hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Destination Sequenced Distance Vector (DSDV). We have evaluated the performance of these routing protocols with varying the number of mobile nodes and packet sizes on the basis of four important metrics such as packet delivery ratio, average end to end delay, normalized routing overhead and throughput. Network Simulator version 2.35 (NS-2.35) is used as the simulation tool for evaluating these performance metrics. The outcome of this research shows that AODV protocol outperforms DSDV and DSR protocols. 09 30 2020 707 713 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4691.099320 https://www.ijrte.org/portfolio-item/C4691099320/ Asst.Prof , Department of Computer Applications,SRM Institute of Science & Technology, Ramapuram Campus, Chennai. D.B. Shanmugam Dr.J. Dhilipan Professor & Head, Department of Computer Applications, SRM Institute of Science and Technology, Ramapuram Campus, Chennai. A. Vignesh Asst.Prof , Department of Computer Applications, SRM Institute of Science & Technology, Ramapuram Campus, Chennai. T. Prabhu Associate Professor, Department of Computer Applications, Dr.MGR Educational & Research Institute Chennai. High Quality Data are the precondition for examining and making use of enormous facts and for making sure the estimation of the facts. As of now, far reaching exam and research of price gauges and satisfactory appraisal strategies for massive records are inadequate. To begin with, this paper abridges audits of Data excellent studies. Second, this paper examines the records attributes of the enormous records condition, presents high-quality difficulties appeared by large data, and defines a progressive facts exceptional shape from the point of view of records clients. This system accommodates of big records best measurements, best attributes, and best files. At long last, primarily based on this system, this paper builds a dynamic appraisal technique for records exceptional. This technique has excellent expansibility and versatility and can address the troubles of enormous facts fine appraisal. A few explores have verified that preserving up the character of statistics is regularly recognized as hazardous, however at the equal time is considered as simple to effective basic leadership in building aid the executives. Enormous data sources are exceptionally wide and statistics structures are thoughts boggling. The facts got may additionally have satisfactory troubles, for example, facts mistakes, lacking data, irregularities, commotion, and so forth. The motivation behind facts cleansing (facts scouring) is to pick out and expel mistakes and irregularities from facts so as to decorate their quality. Information cleansing may be separated into 4 examples dependent on usage techniques and degrees manual execution, composing of splendid software programs, records cleaning inconsequential to specific software fields, and taking care of the difficulty of a kind of explicit software area. In these 4 methodologies, the 1/3 has terrific down to earth esteem and may be connected effectively. 09 30 2020 589 593 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5643.099320 https://www.ijrte.org/portfolio-item/E5643018520/ Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Dundigal, Telangana. Dr. M Laxmidevi Ramanaiah The power loss in the radial distribution network is appreciable as compared to transmission network. To reduce the power loss in distribution network which is radial in nature, the solution methodology adopted in this paper is optimal placement of distributed generators (DG). The optimization incorporated is Multi-objective Grey Wolf Optimization (MOGWO). The optimization is accomplished for three different cases. In each case two objective functions are simultaneously optimized to obtain non-dominated solutions using Multi-objective Grey Wolf Optimization. Case (1): To minimize the real power loss and maximize the savings obtained due to DG installation. Case (2): To minimize real power loss and maximum voltage deviation in the network. Case (3): To minimize real power loss and rating of DG installed. MOGWO method maintains an archive which contains pareto-optimal solutions. The archive mimics the behaviour of grey wolves. MOGWO method is verified on radial distribution networks. The effectiveness of the optimization method is proven by comparing the results with other optimization methods available in the literature. 09 30 2020 664 670 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5807.099320 https://www.ijrte.org/portfolio-item/E5807018520/ M.Tech, AzadInstituteof Engineering, Lucknow (U.P), India. Preeti Tripathi Imran Khan AzadInstituteof Engineeringand Technology, Lucknow (U.P), India. The electrical power produced via photo-voltaic (PV) array relies largely on weather conditions. In this paper, we presented a continuous state functionality of the PV grid-connected (GC) unit at distinct solar irradiances. The presented model is developed on MATLAB environment, which includes the PV array using an improved perturb and observe (MP&O) tracking system interconnected to DC to DC boosting conversion application, the 3-phase 3 level electric power inverter which usually associated to the utility grid using low pass filter, coupled transformer and synchronous control mechanism of PV inverter. The presented model is lab-created within day-by- day climatic conditions to estimate its working mechanism. The simulation results of the proposed system satisfy requirements grid performance with high power quality. In the proposed work number of cell modules used 90, number of parallel strings 60, maximum PV output voltage1000wb/m2 at 274 V, minimum voltage at 600 wb/m2 at 250V, maximum power at 1000 wb/m2-100 kw, and minimum power at 600 wb/m2-57 kw. 09 30 2020 433 438 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8773.099320 https://www.ijrte.org/portfolio-item/F7873038620/