-74813b3e17f460286df-4a8a 20220415024347623 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2020 9 7 Electronics and Communication Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Pallavi Parlewar* Divya Daswani Electronics and Communication Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Komal Kushwaha Electronics and Communication Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Sakshi Agrawal Electronics and Communication Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Pratiksha Charlawar Electronics and Communication Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India In today’s era, women are progressing and scaling the peaks of success. However, there’s a significant hike in the number of crimes against women like molestation, eve-teasing, trafficking, etc. Also, there have been numerous attempts to ensure the safety of women ranging from the infamous mobile apps to the hefty belts &safety jackets,etc. However, it is not practical to carry such bulky systems and the victim may not be able to reach the smartphone without being noticed by the assaulter.This increases the risk factor. Therefore, to ensure the security of women, in this paper we propose an IOT based Emergency security system. This system includes a gsm, gps, raspberry pi, fingerprint module, camera module and IR led blasters. It aims at providing a dual security to the women with the help of panic button and fingerprint scanning device. Whenever a woman feels like she is in danger, she can manually switch on the system which will require her to scan her fingerprint for every 1 min. Practically, if she is in distress situation she would fail to scan and the camera module which is embedded in the woman’s pendant will start capturing images and live video. The GPS module will trace the exact location & GSM module will send emergency text messages to the specified contacts and alert the nearby police station. An additional provision of improved vision during night time using IR led blasters is incorporated in this system. 05 30 2020 233 236 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4034.059720 https://www.ijitee.org/portfolio-item/F4034049620/ B.E (Civil) degree in Government College of Technology, Coimbatore. S. Thangaperumal* A.M. Jagadish B.E (Civil) degree in St. Joseph’s College of Engineering, OMR, Chennai S. Sriram B.E (Civil) degree in St. Joseph’s College of Engineering, OMR, Chennai Water carry nutrients to areas all around the earth. They play a most important part in the water cycle, acting as drainage channels for surface water. Rivers provide good habitat and food for many of the earth's organisms. The purpose of this study is to delineate the watersheds basin in the Karaikal district from Bhuvan and United States Geological Survey (USGS) website. Digital Elevation Model is the main data source for extracting hydrology data in ArcGIS. Model Builder was the key for creation of Flow Accumulation, Stream segment, pour point and contour has been prepared using surface tool in ArcGIS software. Watershed delineation map is obtained by integration of Flow Accumulation, Stream segment and Pour point. Watershed analysis provides catchment boundaries but also hydrological parameters useful for management programs. 05 30 2020 237 242 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4055.059720 https://www.ijitee.org/portfolio-item/F4055049620/ Department of Computer Science, Kwara State University, Malete, Kwara. Nigeria. Babatunde R. S.* Adigun J. O. Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria. Okikiola F.M. Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria. White blood cell (Leukocytes) is made up of bone marrow located in the blood and lymph tissue. They are portion of the human body’s immune system, thereby helping the body system to fight against infection and other related diseases. The number of leukocytes in the blood is usually part of a complete blood cell (CBC) test, which may be used to check for conditions such as infection, inflammation, allergies, and leukemia. Automation of variance count of leukocytes offers valuable information to medical pathologist to diagnose and treat of many blood based diseases. Early characterization and classification of blood sample is a major lacuna in the medical field, giving rise to lots of challenges for pathologist to adequately predict blood based disease. Several successful efforts have been made to address the aforementioned challenges with the use of machine learning generally and Convolution Neural Network in particular. However the processor configuration which can result in real time, and accurate classification of the high dimensional pattern is imminent, and a vast number of researchers are not explicit on the system configuration used to obtain the result in their report, which is the crux of this research. In this research,12,500 augment images of blood cells was obtained from the Kaggle Repository online. The leukocytes are contained in the blood smear image and categorized into five major types of their types: Neutrophil, Eosinophil, Basophil, Lymphocyte and Monocyte. The color, geometric and texture features are used by the pathologists to differentiate the leukocytes. The Simulation was done using python programing language and python libraries including Keras, pandas, sklearn, numpy, scipy and matplot for potting of graphs of results. The simulation was done on both CPU and GPU processor to compare the performance of the processors on CNNs based classification of the data. While CPU has faster clock speed GPU has more cores. Hence the evaluation metrics used which are precision, specificity, sensitivity, training accuracy and validation accuracy revealed that GPU processor outperforms CPU in terms of the stated metrics of comparison. Therefore a high configuration processor (GPU), which handles graphics better is recommended for processing image data that involves the use of machine learning techniques 05 30 2020 554 559 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4068.059720 https://www.ijitee.org/portfolio-item/F4068049620/ Computer Science and Engineering, Parul University, Vadodara, India. Bhaliya Nirali* Jay Gandhi Computer Science and Engineering, Parul University, Vadodara, India. Dheeraj Kumar Singh Information Technology, Parul University, Vadodara, India. Today, the proportion of bits of knowledge making is incredibly tremendous. Dependent upon the adjustments of estimations, immense information involves social Data, machine data, and trade-based Data. Social estimations gathered from Facebook, Twitter, etc. Machine information is RFID chip examining, GPRS, etc. Trade based bits of knowledge consolidate retail site's information. Around the assortments of different sorts of estimations first segment is printed content real factors. Content information is sorted out information. Deriving of high five star sorted out records from the unstructured printed content is artistic substance examination. Changing over unstructured real factors into critical records is a book assessment process.CV parsing is one of the substance examination strategies. It is keep parsing or extraction of CV.CV parser combines the candidate's resume with selection gems flow and thusly systems moving toward CV's. This paper proposes a CV parser adjustment of the usage of artistic substance examination. The proposed CV parser interpretation isolates substances required in the enlistment methodology inside the associations 05 30 2020 13 17 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4078.059720 https://www.ijitee.org/portfolio-item/F4078049620/ Computer Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, INDIA. Radhakrishna Dodmane* Ganesh Aithal Vice-principal, SMVITM, Bantakal, INDIA. Surendra Shetty HOD, MCA, NMAM Institute of Technology, Nitte, Karkala, INDIA. Residue number system (RNS) has emerged as a knocking field of research due to its high speed, fault tolerant, carry free and parallel characteristics. Due to these features it has got important role in high performance computing especially with reduced delay. There are various algorithms have been found as a result of the research with respect to RNS. Additionally, since RNS reduces word length due to the modular operations, its computations are faster compared to binary computations. But the major challenges are the selection of moduli sets for the forward (decimal to residue numbers) and reverse (residue numbers to decimal) conversion. RNS performance is purely depending on how efficiently an algorithm computes / chooses the moduli sets [1]-[6]. This paper proposes new method for selecting the moduli sets and its usage in cryptographic applications based on Schonhage modular factorization. The paper proposes six moduli sets {6qk1, 6qk+1, 6qk+3, 6qk+5, 6qk+7, 6qk+11} for the RNS conversions but the Schonhage moduli sets are expressed as the exponents that creates a large gap between the moduli’s computed. Hence, a new method is proposed to for computing moduli sets that helps in representing all the decomposed values approximately in the same range. 05 30 2020 92 97 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4137.059720 https://www.ijitee.org/portfolio-item/F4137049620/ Associate Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur,, Tamilnadu, India. Dr. V.Prasanna Srinivasan J. Jeghithran* Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur, Tamilnadu, India V.Nithish Siddharthan Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College, Thiruvallur,Tamilnadu,India G.V.Sharath Babu Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College, Thiruvallur,Tamilnadu,India T.V. Senathipathi Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College, Thiruvallur, Tamilnadu, India. A web platform to make our urban lives easier to solve their daily needs at single instance. In our modernizing lives the need for workers for our basic needs like plumbing, carpentry etc. goes on increasing. In our website user can find any service professionals like teachers, yoga trainer, wedding photographers, plumbers, carpenters, physicians and so on. Those workers can be termed as a “maintenance worker” or “General Contractors”. A go to platform helping customers to complete the works that are important to their day to day lives. In today’s digital world a maintenance worker gets lower recognition than any other profession has, but their need is very high for each and every one of us. Either they get known by a known person’s recommendation or by self-advertising. But all their all needs satisfied? No. Thus their needs are full-filled by visiting our website. Here every maintenance worker could register themselves and they can be selected by the users who would like to get their service. Here every maintenance worker is given a rating based on which their value increases. So that they can be charged depending on their rating and also the rating helps the user to identify the best suited worker for them. In our web application the workers will be sorted on users rating and users current location from which the user is searching for service. In which user also will be rated by the professionals on how they treated them. The tracking facility will be available and features whether the professionals has accepted their request which was given by the user and tracking facility also shows whether the professional has started the way to user location. The professional has to enroll themselves in our website with types of service they’ll be doing and optional work which they aren’t much trained but with a minimum experience. User has the rights to blacklist the workers which will be then investigated by the admin team on both the side. The main concept of join hands is to create job opportunity for maintenance workers and to raise their quality equal to professional workers. In the users point of view it is to enhance the people’s standard of living without making them worry in search for a professional worker. 05 30 2020 243 246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4143.059720 https://www.ijitee.org/portfolio-item/F4143049620/ Department of Textile Technology, Federal Technical and Vocational Education and Training Institute, Addis Ababa, Ethiopia Rajan Kavitha Sundramurthy Venkatesa Prabhu* Department of Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. Bahiru Melese Belew Department of Garment Technology, Federal Technical and Vocational Education and Training Institute, Addis Ababa, Ethiopia. Eshetu Solomon Department of Textile Technology, Federal Technical and Vocational Education and Training Institute, Addis Ababa, Ethiopia. Sebele Work Mekonen Department of Textile Technology, Federal Technical and Vocational Education and Training Institute, Addis Ababa, Ethiopia. Enzyme technology is extensively touted as the way of the destiny for textile processing industry. Enzymes can be used safely in a wide selection of textile processes such as de-sizing, scouring, bleaching, dyeing, and finishing in textile processing. Recently, amylase enzyme is getting more important in textile industry for removal of starch. Amylase can be successfully applied at early pre-treatment stages, making a sturdy basis for the good finishing of fabrics. The present study was focused to isolate amylase producing bacteria and optimize the growth condition for maximizing amylase production using agro-industrial residues. In addition, immense important for RSM based optimization for the process parameters, pH, temperature, and agitation speed also given. Further, this study concentrated for determination of desizing potency of Denim by the amylase that produced at optimized condition. 05 30 2020 382 391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4149.059720 https://www.ijitee.org/portfolio-item/F4149049620/ Assistant Professor, CED, JMI, New Delhi, India. Ibadur Rahman* Nirendra Dev Professor and Head, CED, DTU, Delhi, India. There is a substantial curiosity in academia, the investment community and among manufacturers about the exhilarating opportunities offered by nano materials. Although a lot of applications for nanotechnology remain hypothetical, construction is one area where numerous ‘here and now’ applications have already emerged. While existing use is restricted, the market is likely to approach more than 500 million dollars within ten years. Concrete is most likely exceptional in the construction field, that it is the distinct material exclusive to business and hence, is the recipient of a reasonable quantity of research and development capital from the construction industry. SiO2 (Silica) usually is an integral part of concrete in the normal mix. On the other hand, one of the innovations made by the study of concrete at nano scale level is that particle stuffing in concrete can be enhanced by means of adding nano silica (NS), which results in the densification of the micro and nano structure of cementitious composite resulting in enhanced mechanical properties. In this research paper, the result of a thorough investigational analysis on the utilization of NS in addition to cement so that the strength and quality of concrete can improve has been achieved. The effect of various proportions of NS in concrete has been premeditated to evaluate the properties of NS based hardened concrete according to the standard concrete. The obtained outcomes after testing indicate that the addition of NS together with concrete has improved the mechanical behavior of concrete. The NS blended high strength concrete (HSC) shows a better compressive strength (CS) of 66.00 N/mm2 (MPa) after standard twenty eight days, which is an exceptional development over standard concrete. Each and every mixture containing NS in various proportions gave enhanced outcomes in comparison with the standard predictable concrete. RH (Rebound Hammer), UPV (Ultrasonic Pulse Velocity), SEM (Scanning Electron Microscope) and TEM (Transmission Electron Microscope) examinations further authenticate the above results. 05 30 2020 1150 1155 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4166.059720 https://www.ijitee.org/portfolio-item/F4166049620/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Dr.M.Lenin Sundar* G. Manikandan Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. L.Manojh Kumar Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. V.Adithya Vasanth Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. The present study appraises the recitals of carboxylic acid- based admixture to increase concrete water tightness and self-sealing capacity of the cement and geopolymer concrete. Outcomes of the previous studies in particular, adding 1% by cement mass of the carboxylic polymer reasons for reduction in the water dispersion under pressure of 7-day wet cured concrete by 50% associated to that of the conforming reference concrete. At 7 days, M4 mix compressive strength is about 43.5% less than M3 mix. The compressive strength of M4 increases and is about 37.6% less than M3 mix at 28 days of curing. At 7 days, M4 mix split tensile strength is about 17.5% less than M3 mix (cement concrete with 0.45 w/c ratio). The split tensile strength of M4 declines and is about 42.3% less than M3 mix at 28 days of curing. The strength of the geopolymer concrete tends to increase as the time period increases due to the presence of fly ash in it. So it is expected that geopolymer concrete will give more strength than cement concrete in long term with the presence of carboxylic acid. 05 30 2020 472 475 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4175.059720 https://www.ijitee.org/portfolio-item/F4175049620/ Pursuing Ph.D., Jain University, JGI Global Campus, Bengaluru, Karnataka, India. Ravikumar K. I* Sukumar R Professor and Head of ECE , Jain University College of Engineering & Technology, JGI Global Campus, Bangalore, India Meritor is a newly-created tool and because of its nanometer scale and different electrical properties it has received much interest from advanced electronics designers since it was discovered. The memory capacity of a memrist is one of the most significant features. In this paper, about 50 papers on designing of memristor, optimization rules for reducing power, area for storing the data into memristor and implemented the full adders using memristor using the Pspice simulator. The paper ultimately addresses the complex study lapses and obstacles in constructing the memorial that will enable scholars and thinkers lead to more analysis. 05 30 2020 98 107 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4184.059720 https://www.ijitee.org/portfolio-item/F4184049620/ C.S(C.S.E), SSVIT, Bareilly, India. Swapnil Sharma* The most hardest situation to most software developers is determining where bugs are in applications. Finding them and repairing defects is expected to cost billions of pounds per year, and any automated assistance in accurately identifying where faults are, and concentrating tester efforts , would have a huge effect on software development and maintenance costs. So Work on defect detection has been going on for several years using regression methods and, lately, ML algos. To determine where there are defects therefore every organization’s main priority is to detect and fix faults in the early stages of the SDLC. This research has provided some insight into where flaws can be identified, but clinicians do not appear to have taken that on board. One explanation for this may be due to the difficulty in choosing and constructing predictive defect models. In the paper we actually analyze the reasons why the standard of the prediction is so varying due to the altering nature of the process of repairing defect. It primarily comprises two stages in the proposed system: a model development stage, and a prediction stage. In the model development our aim is to create a classifier with proven labels (i.e., broken or clean) by using deep learning and ML techniques from past improvements. This classifier would be used in the predictive stage to determine whether an uncertain shift were to be buggy or safe. Next, our Architecture derives a range of functions from a training package. Next, we do preprocessing of data on the characteristics obtained. Preprocessing of the data involves two counter-steps: normalization of the data and re-sampling. In normalization, we turn the values of all featured to values in the interval from 0 to 1. A deep learning technique such as LSTM & SVM is used. In the prediction stage, the classifier is then used to predict whether a change with an unfamiliar label is buggy or safe(clean). We will evaluate on four datasets from four well-known Open source software, including Mozilla, Eclipse, Net beans and Open Office programs. 05 30 2020 125 131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4317.059720 https://www.ijitee.org/portfolio-item/F4317049620/ Bachelor of Engineering, Computer Science and Engineering, National Engineering College, TamilNadu, India. G. Nivetha Vasanthi* R. Rohini Bachelor of Engineering, Computer Science and Engineering ,National Engineering College, TamilNadu , India. V. Shenbagavalli Bachelor of Engineering, Computer Science and Engineering, National Engineering College, TamilNadu , India. Dr. V. Gomathi Professor & Head of the Department, Computer Science and Engineering, National Engineering College, kovilpatti, Tamilnadu, India. Human activity recognition (HAR) is to recognize another person’s activities and it is one of the active research areas in the computer field. The goal of this System is to understand people's actions and interactions. We proposed a method of Human Activity is by predicting the person's activity, their personality, and their psychological state like Human activity recognition (HAR). We propose a recurrent neural network of deep learning architecture. The critical factor of RNN includes bidirectional connection that is simply called from the input node, the information only flows in forwarding direction after that it passthrough so many hidden layers to reach the output.. This system is to design the six different activities of a human. The final model should use as a good source of information about human's daily activities. The dataset has taken from UCI Machine Learning Repository. Our system accuracy is higher than the previous results. 05 30 2020 1008 1012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4324.059720 https://www.ijitee.org/portfolio-item/F4324049620/ Master, Doctoral Student, Samarkand State Architectural and Civil-Engineering Institute. Samarkand, Uzbekistan. Karimov Gafur Umurovich* Yusupov Khamid Vahobovich Associate Professor, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan. Kamilov Khabibilla Professor, Tashkent Institute of Architecture and Civil Engineering. Tashkent. Uzbekistan. The article presents the results of studies on optimizing the composition of cement of low water demand using sand dunes and slags. The obtained formulas and isoparametric graphs reflecting the strength of these binders are given. 05 30 2020 769 772 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4325.059720 https://www.ijitee.org/portfolio-item/F4325049620/ Assistant professor in Computer Science and Engineering in Jeppiaar Institute of technology(JIT), Sriperumpudur, Chennai, India. Sudha Mercy S* Sivasubramanian A Bachelor’s degree in the stream of Computer science and Engineering in Jeppiaar Institute of Technology, Sriperumpudur, Chennai, India Lokesh G Bachelor’s degree in the stream of Computer science and Engineering in Jeppiaar Institute of Technology(JIT), Sriperumpudur, Chennai, India Bhuvan B Natesh Bachelor’s degree in the stream of Computer science and Engineering in Jeppiaar Institute of Technology(JIT), Sriperumpudur, Chennai, India Jerald Vinfrank J Bachelor’s degree in the stream of Computer science and Engineering in Jeppiaar Institute of Technology(JIT), Sriperumpudur, Chennai, India Many tasks are being automated in various places like factories, hospitals and homes as India moves towards smarter cities. Thus, Patient Monitoring and Temperature Controlling System is a process of monitoring heart beats per minute (using a Pulse Sensor) and body temperature of the patient and as well as an automated operation to control the temperature of the room by opening and closing windows in houses, factories, schools, hospitals, etc. IoT to monitor the heartbeat, body temperature and temperature of the closed environment continuously will be used by this Prototype and adjust the temperature of that closed Environment by opening or closing the window accordingly. This process can also be controlled manually by using a mobile application to open or close the window from anywhere. We can easily retrieve the temperature of a closed environment from anywhere as the data is gathered and uploaded to a server. Appliances like air conditioning, fan, etc. will automatically start operating to adjust the room temperature for their needs if both the temperatures (inside & outside the room) are not suitable for the patient. Thus, this project will help us to control the temperature level in a closed environment(room) and we can do this without the help of manpower. 05 30 2020 1172 1175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4336.059720 https://www.ijitee.org/portfolio-item/F4336049620/ CSE, VR Siddhartha Engineering College, Vijayawada, India, Priyanka Konatham* Mounika Venigalla CSE, VR Siddhartha Engineering College, Vijayawada, India Lakshmi Pooja Amaraneni CSE, VR Siddhartha Engineering College, Vijayawada, India Dr. K. Suvarna Vani Professor, VR Siddhartha Engineering College, Vijayawada, India Diabetic Retinopathy affects the retina of the eye. Ultimately it may lead to total visual impairment. Total blindness can be avoided by detecting Diabetic Retinopathy at an early stage. Various manual tests are used by the doctors to detect the presence of disease but they are tedious and expensive. Some of the features of Diabetic Retinopathy are exudates, haemorrhages and micro aneurysms. Detection and removal of optic disc plays a vital role in extraction of these features. This paper focuses on detection of optic disc using various image processing techniques, algorithms such as Canny edge, Circular Hough(CHT). Retinal images from IDRiD, Diaret_db0, Diaret_db1, Chasedb and Messidor datasets were used. 05 30 2020 1013 1015 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4390.059720 https://www.ijitee.org/portfolio-item/F4390049620/ Computer Science, EDST, Lebanese University, Lebanon. Zeinab Farhart* Ali Karouni Institute University of Technology, Lebanese University. Bassam Daya Computer Science, Institute University of Technology, Lebanese University. Pierre Chauvet Computer Science, LARIS, Angers University, France. Nizar Hmadeh Computer Science, Institute University of Technology, Lebanese University. In recent years, road traffic accidents (RTA) have become one of the highest national health concerns worldwide. RTA have become the leading cause of losing lives among children and youth. Recent studies have proven that Data Mining Techniques can break down the complexity that prevails between RTA and corresponding factors. In this paper, Support Vector Machine (SVM) based on Radial basis function (RBF) and Linear Kernel Function is applied to predict fatal road accidents in Lebanon. The experimental results reveal that SVM using RBF give the highest accuracy (86%) and the best AUC (86.6%). The obtained decision-making model claims to tackle the fatal RTA phenomenon. 05 30 2020 1345 1350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4393.059720 https://www.ijitee.org/portfolio-item/F4393049620/ Department of Physics, IFTM University, Moradabad244001, India, Meenu Kumari* Anil Kumar Department of Physics, Hindu College, Moradabad244001, India, Manish Saxena Department of Physics, Moradabad Institute of Technology, Moradabad -244001, India Signature recognition is one of the most secure techniques used for person identification. Wavelet transforms possess an extra time localization property over Fourier transforms, despite both are frequency localized. That is why; it is more useful to analyze the one dimensional and two dimensional signals both. First of all the features of a signature are extracted and then matching is performed. We have proposed feature extraction technique using discrete wavelet transforms level-1 and matching of signatures are performed using some statistical parameters of discrete wavelet coefficients using matching percentage, sum of absolute difference, mean square error and city block distance. 05 30 2020 528 532 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4399.059720 https://www.ijitee.org/portfolio-item/F4399049620/ Department of Electronics, Bharati Vidyapeeth (Deemed to be University), Pune, India. Vandana Bavkar* Arundhati A. Shinde Department of Electronics, Bharati Vidyapeeth (Deemed to be University), College of Engineering,Pune, India. Diabetes is a most important health dispute that has reached distressing levels; today approximately half a billion individuals are living with diabetes universal. Diabetes is a state that damages the body’s capability to process glucose in blood, otherwise known as blood sugar. It is a metabolic disease that reasons high blood sugar. The hormone insulin transfers sugar from the blood into your cells to be stored for energy. With diabetes, your body either doesn’t make sufficient insulin or can’t efficiently use the insulin it does makes. The motive of this research is to design a method or prototype which can detect or predict the diabetes in patients with high precision. Therefore different machine learning classification algorithms namely decision tree, support vector machine, Naïve Bayes and k-NN are used in this research work for prediction of the diabetes. Two databases are used for experimentation. The first one is created from hospital with 82 patients and second one is readily available Pima Indian Diabetes database. The performances of different machine learning algorithms are estimated on different measures like Precision, Recall, F-measure and accuracy. The objective of this research is to study the accuracy of different machine learning algorithms and hence identify set of suitable algorithms for prediction of diabetes for further research work. 05 30 2020 247 251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4501.059720 https://www.ijitee.org/portfolio-item/F4501049620/ Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala Shakti Singh* Nirbhow Jap Singh Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala. Nitin Narang Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala. In modern power system, protective relays are playing a vital role for protection of the whole system. The efficiency and reliability of whole protection system depends upon the combined and coordinated operation of protective devices such as relays, circuit breakers etc. Moreover, both types of relays viz., primary and backup relays have been used for smooth and reliable operation of the power system from years. A primary directional over current relay (DOCR) is setup for the fast response of any faulty condition. If it fails, then backup relay perform the same task after some time gap. Three different setting such as plug-setting multiplier (PSM), pickup current settings and time multiplier setting (TMS) are required of performing the operation. In this paper, three very popular swarm based meta-heuristic such as particle swarm optimization (PSO), artificial bee colony (ABC) and a recent hybridization of both, i.e., hybrid ABC-PSO have been implemented for the calculation of optimal coordination problem. This coordination problem is treated for continuous settings optimization for TMS and pickup current. An IEEE 8 bus system without grid has been opted for validation of the results. It is evident from the study that the hybrid ABC-PSO based proves to generate optimal solution providing better convergence rate as compared to individual PSO and ABC algorithm. 05 30 2020 721 727 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4504.059720 https://www.ijitee.org/portfolio-item/F4504049620/ Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India. Mrs. Harsha Patil* Mrs. Deepashree Mehendale Computer Science Department, Dr. D. Y.PatilACSCollege,Pimpri,Pune,India. Mrs. Malati Tribhuwan Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India. Mrs. Vidya Bankar Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India. Mr. Satyawan Kunjir Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India. Mrs. Reshma Masurekar Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India. Artificial Intelligence in contrast to Natural Intelligence also known as Machine Intelligence is intelligence revealed by machine. It is the science and engineering of making machines intelligent. Therefore, it is a technique that makes a machine work like humans. The IOT Internet of Things is a network of internet-connected objects which can connect and exchange data. The combination of AI and IoT called AIoT is the combination of Artificial Intelligence and Internet of Things to achieve more efficient IoT operations. When Artificial Intelligence is added to IoT it means that the devices can analyze data and make decisions and act accordingly without the intervention of humans. The combination of AI and IOT has several advantages like saving money, building deeper customer relationships, increased operational efficiency and productivity and enhanced security and safety. This research paper focuses on what is AIoT, its applications and challenges and further, it also focuses on AIoT security concern and how can we solve the security problem with the use of PUF which is hardware security which is a simple and fast solution for security purpose. PUF is also more compatible with AIoT gadgets. Attacks on IoT devices are on the upsurge. Physical Unclonable functions (PUFs) are recognized as a robust and mild-weight way for AIoT. 05 30 2020 476 481 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4520.059720 https://www.ijitee.org/portfolio-item/F4520049620/ R is a Mtech student in Computer Science and Engineering at Mar Athanasius College of Engineering, Kerala Technical University. Archana P R* Dr.Jisha P Abraham professor in Computer Science and Engineering at Mar Athanasius College of Engineering, Kerala Technical University. This paper deals with maximizing the cost of parallel applications in a cloud-based environment. The cost belongs to monetary cost and cost of efficiency. The core argument seems to be that the parallel program robustness should affect the current monetary cost. Dynamic method of optimization is used to minimize the cost of computation. In order to measure the overall monetary cost of parallel computation, a cost model is used to evaluate the cost of parallel infrastructure as well as the cost of delayed performance. The main purpose of this cost model is to identify the necessary resources for performing this type of operation. Different methods have been used in the cloud environment. But these solutions do not take into account the uncertainties in the scheduling system, namely task start / perform / finish time, the unpredictable data transfer period between tasks, the unexpected arrival of new tasks. Such factors contribute to the breach of the task deadline and increase the cost of renting the service of executing the task, this effect will increase the monetary cost. Will boost the output by reducing the ambiguity in the scheduling process that requires time for execution of tasks and time for data transfer. In order to be precise a scheduling algorithm, uncertainty-Aware Scheduling Algorithm (ASA) is built to schedule complex and multiple tasks. When a task has been accomplished, its beginning / prosecution / target time is accessible that implies the ambiguity are no longer visible and therefore does not impact its related pending task. 05 30 2020 560 569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4543.059720 https://www.ijitee.org/portfolio-item/F4543049620/ Assistant Professor, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India Monica Catherine* Ashok Kumawat PG Scholars , Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India In this ever changing world, with cybercrimes and increasing threats, security is becoming constantly an concern. As security became a basic requirement and a need in the times of today with some sort of access to the data and interaction on the internet it is increasingly unstable. This is incredibly necessary to maintain our home network up-to- date. In terms of reliability, reduce vulnerability and maintain integrity and untampered. As a basic security characteristic of information security, it is our top priority that we defend and safeguard our Internet of Things devices and home network from cyber threats. Honeypot a development focused on decoction together with raspberry pi makes our small cost effective and quick to implement network defense security. The whole paper deals with implementing a Honeypot deployed in module Raspberry Pi operating Intrusion Monitoring Program and deception technology as a induce for monitoring and securing the network. This should prove successful intrusion detection systems and honeypots solutions if implemented correctly. 05 30 2020 773 778 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4561.059720 https://www.ijitee.org/portfolio-item/F4561049620/ Lecturer, Dept. of Technical Education ,Government of Telangana State and Research Scholar, JNTU University Hyderabad, India Jidiga Goverdhan Reddy* Sammulal Porika Professor, Dept. computer engineering, JNTUH Nachupally, Jagitial, Affiliated to JNTU University, Hyderabad, TS State, India What we use the protection of system data and user credentials is still very dispensable presently in factual applications frequently used by common people. Also losing their assets and confidence level due to lack of knowledge about usage of applications and failure to grab the abnormal behavior. How system data and user credentials are helpful to creating clone by others causes of showing anomalous behavior and don’t know to protect from the anomalies and how it is avoid. In this paper we are presenting short-lived discussion on anomaly detection and its nature of impact showing on original true datasets related to daily land transactions, medical and social networking. This paper shows the significant usage of machine learning approach applied in anomaly detection to know the fact anomalies in various datasets took from different sources. Here we are using an updated CART called Rule based Classification and Ordered Regression Tree (RBT-ORT). This method is new one with combination of Decision Tree; Rules of Random Tree giving a new adorned rule sets in classification and regression to ensure the improvement in results compare to other techniques. Our work carried out on three datasets, two are taken from UCI repository for machine learning and other one is real and original dataset Land sale data pertaining to land transactions noted in the year 2016-18. Finally the results of anomaly detection using Classification and Ordered Regression Tree compare with other machine learning methods such as ID3, C4.5, C-RT, PLSDA, CHAID, C4.5 Rule, I (Improved) - C4.5, K-Nearest neighbor and Neural Networks. 05 30 2020 108 112 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4578.059720 https://www.ijitee.org/portfolio-item/F4578049620/ Department of Electronics and Communication Engineering ,Vellore Institute of Technology, Vellore, India. Bukka Aswitha Ravi kumar C.V Assistant professor Sr. Department of Electronics and Communication Engineering ,Vellore Institute OfTechnology, Vellore,India. Venugopal P Assistant professor Sr Department of Electroics and Communication Engineering, Vellore Institute of Technology,Vellore,India. Agriculture, the primary way to produce the food to the people besides its value added to the economy of the country’s gross domestic product. Plants are affected to various diseases and early detection of disease has to be done in order to reduce the social and economical loses. Nowadays farmers are not aware of the type of diseases that affect the plants and the respective measures that have to be taken in order to reduce the effect. This paper focuses on the technique that detects the disease using image processing techniques and providing the measures to the farmers to overcome the disease. The technique is based on the K means clustering which is used to segment the image after that the feature extraction is done based on the Gray level Coocurrence matrix approach then the Support Vector Machine classifier is used to classify the disease with the trained data. We have calculated the percentage of leaf affected and the measurement is done based on it. Here along with disease name its symptoms and measurement are shown. 05 30 2020 409 414 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4597.059720 https://www.ijitee.org/portfolio-item/F4597049620/ Computer science, GITAM deemed to be University, Visakhapatnam, India. Shaswati Silona Patra* SK. Althaf Rahaman Computer Science, GITAM deemed to be University, Visakhapatnam, India. K. Vanitha Computer Science, GITAM deemed to be University, Visakhapatnam, India. Compliance management system is known as comprehensive compliance program and in short it’s called as CMS. CMS comprises the written documents, process, functions and controls. It aims to help organization in legal requirements and minimize harm to consumers due to violations of law. A CMS system works in functional area of an organization such as advertising, sales, operations and administrations. This brings the improvement in execution plan, communicating the program and monitoring. 05 30 2020 252 254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4609.059720 https://www.ijitee.org/portfolio-item/F4609049620/ B.E,M.E.*, Assistant professor, Department of Computer Science and Engineering ,Sri Shakthi Institute of Engineering and Technology,Coimbatore,Tamil Nadu, India A. Mahalakshmi N. Sowmya UG Student,Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. J. Suvethaa UG Student,Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. S.M. Swaroop UG Student,Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. Software testing is a necessary technique to locate defects and to increase any of the software application quality. Now lot of applications is being created in internet which are executed in a internet browser. Web functions are turning into an extra complicated, so that it becomes hard to take a look physically. It might extend time and cost. So we are in need of automation testing to check out equipment elevated day by day. Selenium is a web application testing tool which is an open source .These equipment are extensively used for checking out the functionality of website developed for variety of purposes . In this project we test the web application using selenium c#. Testing is the precedence modules in the purchasing a website. Initially test planning created based on the testing a website. Test design and test method made by test diagram information. Before developing take a look at scripts the scope of testing need to be documented clearly. Atlast writing scripts based totally on the precedence then textual content execution and reporting carried out step by step. 05 30 2020 570 573 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4623.059720 https://www.ijitee.org/portfolio-item/F4623049620/