-4d90550d17f4602e089-4aa0 20220415011908792 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 Research Scholer, SVKM’s IoT, Dhule, Maharashtra, India Yogesh Diliprao Sonawane* Ekanath Raghunath Deore Research Scholer, SSVPS's BSDCoE, Dhule, Maharashtra, India Low-temperature combustion(LTC) with multiple injection strategies is a recent trend for NOx and soot reduction in single-cylinder diesel engines. This paper presents a technical study of past research carried out on multiple injections, which are pilot I and pilot II injection before main injection, to decrease engine soot to meet emission legislation while upholding efficiency and decrease or eliminate exhaust after treatment. Previous research indicates that extending ignition lag to enhance the proper premixing, and controlling temperature of combustion to optimal level using Exhaust Gas Recirculation, have been accepted as an important aspect to attain low temperature combustion. In this paper, we first discuss the effect pilot I injection and pilot II injection strategy through varied injection quantity and time range. Thereafter, we briefly review how pilot II injection provides better results compared with the pilot I injection, which is by reason of better premixing, improves the turbulent effect and lowers the emission. Next, we provide a broad overview of the collected works on the effect of injection pressure, temperature and rate of exhaust gas recirculation on engine emissions. We conclude by identifying a few dependencies of engine parameters in low-temperature combustion by multiple injections so as to reduce the engine emissions. 05 30 2020 779 785 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2933.059720 https://www.ijitee.org/portfolio-item/E2933039520/ Department of computer engineering Glocal University Saharanpur Altaf Hussain Shah.* Dr M. Mazhar Afzal Associate Professor & HOD of computer engineering Glocal University Saharanpur, UP. The prediction analysis is the approach of data mining which is applied to predict future possibilities based on the current information. The network traffic classification is the major issue of the prediction analysis due to complex dataset. The network traffic techniques have three steps, which are pre-processing, feature extraction and classification. In the phase of pre-processing data set is collected which is processed to removed missing and redundant values. In the second phase, the relationship between attribute and target set is established. In the last phase, the technique of classification is applied for the classification. This research study has been influenced by the different intrusion threats on internet and the ways to detect them. In this research, we have studied and analyzed the famous network traffic data -NSL KDD dataset and its various features. The proposed model is a hybrid of Logistic Regression and K-nearest neighbor classifier combined using voting classifier, which aims at classifying the data into malicious and non-malicious with more accuracy than existing methods. 05 30 2020 510 515 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3104.059720 https://www.ijitee.org/portfolio-item/E3104039520/ Department of CSE, ABES Institute of Technology, Ghaziabad, India. Dr. K K Agrawal* Shivam Sharma Department of CSE, ABES Institute of Technology, Ghaziabad, India. Shagun Tomar Department of CSE, ABES Institute of Technology, Ghaziabad, India. Shubham Kumar Department of CSE, ABES Institute of Technology, Ghaziabad, India. Our work aims for economical disease diagnostics, by asking the user for Prognosis and symptoms, accurate disease prediction has been strived for. In aspiration for social welfare, the cost of using the product built is almost free, the prediction can be done using any one of the six algorithms, five out of which are total free of cost for use, those five being KNN, Naïve Bayes, SVM , Logistic Regression, K Means Classifier. The one, that gives out predictions with most accuracy, i.e., Decision Trees Classifier, has been made paid, others are not to be paid for, for using.How this product would be functioning is simple: User logs in , openCV has been used for it, that brings the user to the section where user is briefed about models working on different algorithms, each algorithm having different accuracy, thus further, which model he/ she should choose. On choosing model of their choice, they fill their symptoms and prognosis, that yields them their final result of name of their disease.Services like these are greatly needed , looking at large many number of people in our society, who are unfortunately not able to afford them, when priced heavily, or even moderately. Such products can help save many a lives, notify sufferer about his chronic disease at early stage, inform about deficiency diseases, that are very controllable, if get known about, early. 05 30 2020 404 408 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3076.059720 https://www.ijitee.org/portfolio-item/F3076049620/ Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, Punjab, India Prabhdeep Kaur* Amit Chhabra Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, Punjab, India In network there are different kinds of attack that impact its presentation and it might hazard security amid the transmission. The security is the serious issue in network that may hurt by these attacks. In this paper the investigation of DDOS attack in network must be handled. However, with the fast development of network technology issues related with security are offering great challenges. Security concerns like security threat and attack are disaster for both service provider and service consumer. In this paper the different procedure that are uses to recognize DDOS attack in network are considered. In this various machine learning based strategies are analyzed to detect DDOS attack in network. 05 30 2020 81 85 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3339.059720 https://www.ijitee.org/portfolio-item/F3339049620/ Assistant Professor, SRM Institute of Science and Technology, Chennai, India. Preethiv* Naveen kumarkh UG Scholar, S R M Institute of Science and Technology, Chennai, India. Sriramreddys UG Scholar ,S R M Institute of Science and Technology, Chennai, India. Saiyaswanthd UG Scholar, S R M Institute of Science and Technology, Chennai, India. Interminable Kidney Disease (CKD) proposes the realm of kidney chance which may even crumble by means of time and through implying the factors. If it continues finishing all the more dreadful Dialysis is and most desperate conclusive outcomes believable it'd flash off kidney misery (End-Stage Renal Disease). Area of CKD in a starting period should help in filtering by means of the complexities and harm. In the past work portrayal applied are SVM and Naïve Bayes, it happened that the execution time took by methods for Naïve Bayes is irrelevant appeared differently in relation to SVM, confused events are substantially less with SVM that results in less request execution of Naïve Bayes, inferable from gentle exactness distinction. It can be corrected by methods for taking less improvements. Unsuspecting Bayes is a probabilistic classifier a fundamental count by utilizing Bayes Theorem with a prohibitive independence supposition. The artistic creations for the most segment brings around growing symptomatic exactness and decrease commitment time, this is the guideline factor. An undertaking is made to develop a form evaluating CKD data collected from a particular course of action of people. From the model data, recognizing verification should be conceivable. This work has enchanted on developing up a system relying upon gathering procedures: SVM, Naïve Bayes, glomerular filtration rate (GFR) is the best pointer of how well the kidneys are working.CKD has got no cure but it can be treated based on symptoms to reduce complications and 05 30 2020 683 686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3359.059720 https://www.ijitee.org/portfolio-item/F3359049620/ department of Information Technologies Odessa State Environmental University Odessa, Ukraine Svitlana Kuznichenko Sergey Shvorov* Department of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv, Ukraine Yurii Husak Research Center, Institute of the Armed Forces of Ukraine of Kyiv, Kyiv, Ukraine. Igor. Tolok Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. Muliar Ihor department of Cybersecurity of Computer Systems and Networks of Khmelnytsky National University Khmelnitsky, Ukraine. The aim of the article is to substantiate the principles of synthesis of an expert system for assessing the security of computer networks based on a fuzzy neural network, and this is an urgent scientific and technical task. Requirements for the operative security assessment of computer networks for data protection are analyzed. It was shown that data security should be provided by the network administrator or persons who need to use special decision support systems in assessing the security of computer networks. To solve this problem, factors that characterize the security of electronic systems, including computer systems, have been identified; the use of fuzzy neural networks is proposed as a mathematical apparatus for constructing an expert system; a technique for the synthesis of a fuzzy neural network for assessing the security of computer networks has been developed; an appropriate fuzzy neural network has been created and tested for adequacy; the prospects of the proposed methodology for creating an expert system for assessing the security of computer systems have been established. The scientific and practical significance of developing such a system lies in the fact that a fuzzy neural network is configured on a specific object in order to quickly determine one of the seven levels of security of computer networks that are used in the United States Department of Defense. 05 30 2020 935 939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3422.059720 https://www.ijitee.org/portfolio-item/F3422049620/ Research Scholar, Department of CSE, Chandigarh University, Punjab, India. Kamalinder Kaur* Dr. Sandeep Kang Professor, Department of CSE, Chandigarh University, Punjab, India. In today’s technologically driven world, numerous physical activities can be digitally controlled with a single click, which has led to the emergence of the Internet of Things as an innovative prospect strengthened by MANET and WSN. The present study covers the review of various routing protocols and algorithms related to IoT in MANET and WSN. The review study covers the research published in highly authenticated platforms since 2010. The concept is further extended to cover the performance parameters, security, and privacy aspects adjoining the data packet transfer among various nodes. The review offered a critical examination of various solutions postulated by various researchers will further guide the futuristic research in the improvement of information transfer via a network. A couple of Quality of Service parameters including Throughput and Packet Delivery Ratio(PDR) were also analytically analyzed for various routing architectures supporting IoT environment. 05 30 2020 1089 1083 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3431.059720 https://www.ijitee.org/portfolio-item/F3431049620/ Professor, Doctor of pedagogical sciences, Chartak district of Namangan, Uzbekistan. Sobitkhon Turgunov* Dildora Khakimova PhD in pedagogics, Hakkulabad, Naryn district, Namangan region of Uzbekistan . In this article, the authors sought to consistently introduce secondary school students to the truths of the past (history) and express scientific thoughts about the development of reflective skills based on the development of objective thinking within History classes. The results of the survey are also described in order to ensure the effectiveness of the research. 05 30 2020 5 8 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3540.059720 https://www.ijitee.org/portfolio-item/F3540049620/ Assistant Professor, Department of Electronics, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, Tamilnadu, India Dr Sidharthan V* Mr Guru Prasanna A M.Sc. Electronics and Communication System, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, Tamilnadu, India Mr Shankar Raman V M.Sc. Electronics and Communication System, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, Tamilnadu, India The main objective of this prototype is to provide motor ON or OFF information to the farmers, which helps in saving water quantity and money. The entire prototype is controlled by using Arduino UNO microcontroller, which gives interrupt signal to the motor pump. Soil moisture sensor is connected to digital port through analog and digital comparator. Whenever there is a fluctuation in soil moisture sensor senses the changes happening in soil and send interrupt signal to the arduino and thus the motor pump is activated or deactivated depend upon the changes happening in the soil. Along with this, mobile phone is used to indicate the motor pump condition through GSM Module and the whole prototype will function by implementing Solar Panel and Rechargeable battery. 05 30 2020 1121 1123 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3666.059720 https://www.ijitee.org/portfolio-item/F3666049620/ Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India Dr. A. S. C. S. Sastry* K. Veera Venkata Anudeep Student, Bachelor of Technology, Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India T. Namratha Sai Student, Bachelor of Technology, Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India T.S.N. Dheeraj Student, Bachelor of Technology, Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India. Long range informal communication has bit by bit become an everyday practice for individuals to post their feelings, perspectives and remarks on any item or individual. Individuals share their sentiments online in an exceptionally casual language. Along these lines, it is exceptionally troublesome errand to break down precise slants connected with that common language. Estimation Analysis is an investigation of individuals' mentality, assessments, and feelings to arrange whether it is certain, negative or impartial. Utilization of emojis via web-based networking media has expanded quickly as of late. Subsequently, we have concentrated more on how emojis assume a significant job in opinion examination. Different elements that influence supposition examination are talked about quickly in this paper. Likewise, different issues like mockery identification, multilingualism, taking care of abbreviations and slang language, lexical variety and dynamic word reference dealing with are talked about. A few examinations were then performed to break down the impact of emojis on tweets utilizing AI strategies. At long last, the general execution investigation of the classifier was figured utilizing the NLTK stemming system. 05 30 2020 1124 1127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3677.059720 https://www.ijitee.org/portfolio-item/F3677049620/ Dept Computer Science, Engineering, SRMIST S. Babu* P. Durgesh Dept Computer Science, Engineering, SRMIST Ch. Manoj Ranga ji Dept Computer Science, Engineering, SRMIST Waste the board is the fundamental problem that the world deals self reliant in case of creating country. The troubles within the waste corporation are that the waste holder at open spots advances beyond time before the begin of the partner cleaning process. It consequently precise numerous dangers, as an instance, lousy aroma and repulsiveness to that spot which can be the basic driving force for unfold of numerous illnesses. To avoid all such unsafe circumstance and maintain up open neatness and prosperity this work is mounted on an astute refuse device. The popular problem of the work is to expand a sagacious shrewd rubbish prepared gadget for a proper refuse the board .This paper introduces a pointy prepared shape for junk opportunity by using offering a caution hint to the huge town server for minute cleaning of waste with valid check reliant on level of waste filling. This technique is helped via the ultrasonic sensor that's interfaced with Arduino UNO to test the diploma of refuse crammed inside the dustbin and sends the caution to the everyday net server once if trash is crammed . The fuel sensor and the fire sensor are applied to take a look at the spoil of fire and it take a gander at the closeness of any risky fuel over the development holder. The fuel sensor and the fire sensor are used to take a gander at the wreck of fireplace and it look at the closeness of any risky fuel over the accumulation holder. The complete gadget is stored up by way of an embedded module combined with IOT Assistance and sensor. The non-stop status of ways waste is accumulated that might be watched and stuck up by means of the location authority with the guide. Despite this the crucial change measures will be balanced. 05 30 2020 1128 1131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3729.059720 https://www.ijitee.org/portfolio-item/F3729049620/ Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. K. Premkumar* K. Murugapriya Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. M.R. Varsha Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. R. Asmitha Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. S. Sureka Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Nowadays Autism children find it difficult to interact socially with people emotions and make themselves isolated. This paper proposes Emotion detection for Autism spectrum disorder children (ASD). It is self-possessed of python libraries Open CV, Haar-cascade method and Age and gender prediction. Conversely, most existing methods rely on the detection of facial expressions of people in social media platforms such as snapchat use facial recognition technology and also detecting facial emotions from their Facial expressions in image. And for a better involvement of the children’s social behaviour, here a face is captured in real time and age, gender and emotions are predicted by Facial expression recognition (FER). This proposed system helps to improve the Autism children behaviour as they often observe the facial expressions of humans and try to imitate their emotions which make a huge difference in their behaviour. 05 30 2020 1274 1278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3772.059720 https://www.ijitee.org/portfolio-item/F3772049620/ M.tech, Department Computer Science Engineering. SRMS, CET, Bareilly Shrishti Bansal* Hiresh Gupta Assistant Professor, Department Computer Science in SRMS CET, Bareilly. As discourse is viewed as one of the significant pieces of the people, as it is supportive for understanding the feelings and sentiments and so forth of the individual talking. The bio measurements innovation these days are particularly mainstream like unique mark and so forth. However, the upgrade of this innovation has additionally come like face location, iris identification, and voice recognition and so on. Voice acknowledgment is utilized for the sexual orientation recognizable proof also in light of the fact that it is been considered as one the dependable method of sex distinguishing proof. Voice acknowledgment is fundamentally understanding the voice signals and convert them into little examples and the machine is been will be been prepared to recognize those examples. The paper tells about the voice acknowledgment and the different strategy utilized for it. 05 30 2020 228 232 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3826.059720 https://www.ijitee.org/portfolio-item/F3826049620/ UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India V Sai Nikesh* P Nookanna Naidu UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India A Naga Srinivasa Reddy UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India K Dinesh UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India In the spring industry both power and hand-operated machines are used.As the making of spring in a regular manner takes a lot of time and energy.to make several springs with less time and less energy, there is a need for an alternative spring making mechanism. Traditionally making of spring requires some operations on lathe machine like fixing and loosing checks, removing springs from the shafts. the solution to this problem is the design and fabrication of a multidimensional spring rolling machine. our project is simple by having a motor with pully to drive the shafts. The gap between the spring coil can be regulated by a proper arrangement that can guide the wire automatically. Design and fabrication of spring rolling machines include electric sewing motor, pulley, shaft, and belt.to overcome the limitations that are in the traditional lathe machine spring making process. This project gives suitable ways to produce springs of wire diameter up to 6mm, inner diameter up to 20mm.the proposed springs are capable of bearing maximum loads of 100N for three different materials like copper aluminum, steel. 05 30 2020 9 12 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3867.059720 https://www.ijitee.org/portfolio-item/F3867049620/ ECE, Mahendra Engineering College, Namakkal, India. Madde Pavan Kumar* Dr.K. Manivel Associate Professor/ECE, Mahendra Engineering College, Namakkal, India Dr.S. Ponlatha Associate Professor/ECE, Mahendra Engineering College, Namakkal, India. N. Jayanthi Assistant Professor/ECE, Mahendra Engineering College, Namakkal,India. The vehicle classification and detecting its license plate are important tasks in intelligent security and transportation systems. However, theexisting methods of vehicle classification and detection are highly complex which provides coarse-grained outcomesbecause of underfitting or overfitting of the model. Due toadvanced accomplishmentsof the Deep Learning, it was efficiently implemented to image classification and detection of objects. This proposed paper come up with a new approach which makes use of convolutional neural networks concept in Deep Learning.It consists of two steps: i) vehicle classification ii) vehicle license plate recognition. Numerous classicmodules of neural networks hadbeen implemented in training and testing the vehicle classification and detection of license plate model, such as CNN (convolutional neural networks), TensorFlow, and Tesseract-OCR. The suggestedtechnique candetermine the vehicle type, number plate and other alternative dataeffectively. This model provides security and log details regarding vehicles by using AI Surveillance. It guides the surveillance operators and assists human resources. With the help of the original dataset (training) and enriched dataset (testing), this customized model(algorithm) can achieve best outcomewith a standard accuracy of around 97.32% inclassification and detection of vehicles. By enlarging the quantity of the training dataset, the loss function and mislearning rate declines progressively. Therefore, this proposedmodelwhich uses DeepLearning hadbetterperformance and flexibility. When compared to outstandingtechniques in the strategicImage datasets, this deep learning modelscan gethigher competitor outcomes. Eventually, the proposed system suggests modern methods for advancementof the customized model and forecasts the progressivegrowth of deep learningperformance in the explorationof artificial intelligence (AI) &machine learning (ML) techniques. 05 30 2020 181 189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3905.059720 https://www.ijitee.org/portfolio-item/F3905049620/ Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Building and Technology, Coimbatore, Tamil Nadu, India. Mr.R. Venkatesh* S.Arun Balaji Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. M. Gayathri Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. A. Muhilavan Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. P. Nevetha Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India. This System present a coordinated wearable framework that joins a pulse (HR) checking framework with a stage counter. This structure fit for wear and has a mobile application, and a node. The Data received from the wearable gadget is uploaded to a cloud server and that data can be viewed through a smartphone application that displays the information about the heart rate and the number of steps walked to the user. The smartphone application takes a survey about the user’s favorites once at first when they register. Whenever the heart rate goes above 80 along with the steps inactive, the YouTube link will be sent as SMS to the registered mobile number in order to reduce their heart rate to normal. According to recent studies in India , the death rate in 2018 is 34 percent due to heart attack. The key cause or symptom of a heart attack is a rise in blood pressure if we can control our blood pressure properly by decreasing the mortality rate from 10 to 15 percent. 05 30 2020 786 790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3981.059720 https://www.ijitee.org/portfolio-item/F3981049620/ Bachelor’s Degree, Computer Science, K L University, Vijayawada, India. K. Samhitha* K. Tharun Bachelor’s Degree, Computer Science, K L University, Vijayawada, India. P. Likhith Bachelor’s Degree, Computer Science, K L University, Vijayawada, India. Dr.T. Srinivasarao Professor, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India Because cookies act as the sole evidence of user identification, web sessions are especially vulnerable to attacks through session hijacking, where the server operated by a specific user sends users ' identity requests. If n > 1 cookies are used to execute a session, n sub-sessions that actually run on the same website where the individual cookies are used to access part of the session's state details. Our cookie hijacking analysis shows a range of significant defects; attackers may reach Google's home address and work address and websites that are accessed by Bing or Baidu, show the entire browsing history of the user, and Yahoo enables attackers to delete the list of contacts and upload emails from the account of the consumer. For fact, e-commerce providers such as Amazon and Ebay have a limited, complete customer order background, so almost all platforms have a user name so e-mail address on their page. Ad networks like Doubleclick will also expose pages accessed by the customer. In this article, we propose to improve the latest state-of - the-art HTTP(S) session control by utilizing user fingerprint.A vast range of functionalities of the new client tracking makes session identification on the server observable and dramatically increases the threshold for attackers. Furthermore, this paper describes HTML5 and CSS capabilities for client fingerprinting and the recognition or authentication of a device by using the UserAgent list. 05 30 2020 859 863 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4011.059720 https://www.ijitee.org/portfolio-item/F4011049620/ Dept. of Elec. & Electronics Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India Dr. G. Balakrishna* P. Manikanta Dept. of Elec. & Electronics Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India Dr. M. L. Ravi Chandra Department of Electronics & Comm. Engg., Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India Day by day the need for electrical power is increasing due to the continuous growth and development in the social and economical status of the society. By and large in conventional electrical power system network, power flows from generating stations through transmission and distribution system to the end user. The demand for electrical power at the distribution systems is also increasing continuously. In order to meet the increase in the demand for the electrical power, it is required to increase the existing capacities of the generation and transmission & distribution system that involves lot of money and is a time consuming process. The best solution for this problem of increase in load demand is perfectly met with electric power generating units of smaller capacity which are going to be installed locally in the distribution system and are termed as “Distributed Generators (DGs)”. DGs not only supplies electrical power that meets the increase in load demand but also reduces the losses, improves the voltage profile and reliability of the system. To get maximum of these benefits, DGs are to be installed at its best optimal locations and are to be operated at its optimal generating capacities. In this work an algorithm based on MBAT is proposed to find the optimal locations and sizes of the DG units by considering the minimization of multiple objective functions like minimization of real power loss, cost function and total voltage deviation. The proposed algorithm is tested on IEEE-33 radial distribution systems and results are presented. 05 30 2020 86 91 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4017.059720 https://www.ijitee.org/portfolio-item/F4017049620/