2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)最新文献

{"title":"Forecast of COVID-19 by Chest X-Ray Images using CNN Algorithm with Sequential and DenseNet Models","authors":"Bhanu Sridhar Mantravadi, Dharani Kandula, Sharmili Nukapeyi","doi":"10.1109/BHARAT53139.2022.00035","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00035","url":null,"abstract":"The novel Coronavirus (also known as SARS COVID) has led to an unprecedented pandemic, impacting more than 200 countries across the globe. Renowned healthcare environments throughout all the continents have come under acute pressure to face the unknown disease which was declared as a Pandemic by the WHO. Chest X- Rays and CT Scans are more likely to diagnose the pandemic in comparison to the rapid tests in terms of accuracy, better and quicker results. In this paper, a Machine Learning technique based on a Convolutional Neural Network (CNN) using Sequential and DenseNet models is being presented to detect COVID-19 among patients using real-time data. The proposed system scrutinizes chest X-Ray images to recognize the patients who are really prone to the novel coronavirus. The results designate that this idea comes handy in diagnosing the pandemic; X- Rays are the best and easiest possible way to work upon and provide admirable results within less time.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"95 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120916140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intent Based Access for Policy Control","authors":"Mary Jyosthna Pattabhi, Thammi Reddy Konala","doi":"10.1109/bharat53139.2022.00020","DOIUrl":"https://doi.org/10.1109/bharat53139.2022.00020","url":null,"abstract":"Access control Policies (ACP) are defined as a set of rules that specify who should have access to resources and what resources they should have access to. These ACPs are specific to the organization and are confidential to it. ACPs in Role Based Access Control (RBAC) and Attribute Based Access Control (ABAC) are entirely role-centric and subject-centric. They do not allow management to monitor the user’s fulfilment of work criteria and to analyze the organization’s intentions. This article proposes an Intent Based Access Control (IBAC) model that defines ACPs based on an organization’s intents. It employs classification algorithms to determine an employee’s suitable organization’s intent group and the work behaviour of each Intent Group is analyzed by the admin to redefine the ACPs. IBAC is using ABAC features to form intent groups and RBAC features to associate intents to access privileges for gaining access to the organization’s resources.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131026623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-Time Implementation of Intelligent Controller Over Conventional Controller in a Nonlinear Process","authors":"S. Harivardhagini, G. Sree Lakshmi","doi":"10.1109/BHARAT53139.2022.00031","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00031","url":null,"abstract":"In several process-related industries, the primary objective of a control mechanism is to overcome the disturbances and enable smooth operation of the whole process. This paper considers a nonlinear conical tank system prototype, and the PID controller is designed to function effectively. This prototype represents several process industries like Pharmaceutical Industries, Paper Industries, and Petrochemical Industries that use nonlinear processes such as conical tanks. The design of such tanks enables easy and effective discharge of the elements. In a conical tank, the level control is different from a conventional cylindrical tank. Hence control of the same becomes a challenging task. This project focuses on implementing a PID controller to maintain the prototype level. A Fuzzy Logic Controller is also implemented to make the process more effective and robust to external disturbances. A comparison of both controllers will be presented to understand the efficiency of this complex system. PID controllers are easy to implement as they use low resources. They are also easy to tune by simple trial and error method. Their cons include difficulty in handling multiple variables with strong interaction. The errors produced due to this problem can be minimized by applying logical algorithms. In this paper, a Fuzzy Logic algorithm is used for accurate results.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133927158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of Lung Diseases on Chest CT Images Using Convolutional Neural Networks","authors":"V. Sahithi, Y. Anitha, V. Yogitha, P. R. Valli, K. S. Ramtej","doi":"10.1109/BHARAT53139.2022.00041","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00041","url":null,"abstract":"Lung diseases are amongst the most prevalent causes of death around the world. As early indicators of lung disease are difficult to foresee, Computed Tomography (CT) scans are generally used to diagnose lung ailments because, they provide a complete picture of the body's numerous lung abnormalities. Though CT is favoured over other techniques, the visual interpretation of CT scan images is a potentially error-prone process that delays disease identification. It is also a challenge to use technology to evaluate images for disease identification. Hence to overcome these difficulties, a Convolutional Neural Network (CNN) model for classifying lung diseases is presented in this paper. The tests were conducted on an open dataset that included CT images of normal, malignant, pneumonia, and pulmonary embolism collected from different patients. In these experiments, CNNs are utilized for feature extraction and classification. Image augmentation techniques have been used to improve the classification accuracy during training. The dataset is used to train pre-trained models ResNet50, AlexNet, and VGG-16. Finally features attained from the last fully connected layer of CNN are given as input to Support Vector Machine (SVM) machine learning model, to attain the best classification performance. The combination of ResNet50 model and SVM classifier provided an accuracy of 99.90%.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disease Prediction using Symptoms based on Machine Learning Algorithms","authors":"P. Hema, N. Sunny, Raavi Venkata Naganjani, Arunarkavalli Darbha","doi":"10.1109/bharat53139.2022.00021","DOIUrl":"https://doi.org/10.1109/bharat53139.2022.00021","url":null,"abstract":"People are currently suffering from a variety of diseases. Many people are unsure if the symptoms they are experiencing are indicative of a certain disease, and hence they are unable to take the required safeguards. Anticipating the disease during prodromal stage lowers the likelihood of complications. People will not be able to visit a doctor every time they experience a symptom. It may sometimes become a serious ailment if not treated. A model is suggested that uses a variety of symptoms as input to predict the illness. For disease prediction, the suggested method utilizes Decision trees, Naive Bayes, and Random forest classifiers. The ultimate result will be the mode of all these machine learning models. Users will be given a graphical user interface (GUI) to choose their symptoms. The final result will be shown on the interface using all three machine learning techniques, and feature extraction will be done depending on their symptoms. Four modules make up the proposed methodology. Preprocessing will be done on the dataset in the first module. The decision tree classifier is used to generate a prediction model in the second module. The Random forest method is used for forecast the illness in the third module, and the Naive Bayes technique is utilized in the fourth model, with the mode of the outputs from all the three models taken into account.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-Triggered Networks – An Implementation for Distributed Sensor Electronic Support Measures (ESM) Systems","authors":"Sudha Rani Suram, Balakrishna Vengala, N. Prasad, Sasibhushana Rao Gottapu","doi":"10.1109/BHARAT53139.2022.00028","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00028","url":null,"abstract":"Time is an important attribute of an intercepted RF signal and has been used extensively for locating an emitter using multiple geographically distributed Sensors. Sensors can be built as a simple, covert interception system with no Direction Finding (DF) capability or as a high-end ESM System with high accuracy DF and Radar Finger Printing capability, supplying azimuth information and other Radar intra-pulse and inter-pulse parameters. The common thread running across the Sensors is the time stamping of the intercepted signals against a synchronized global clock located at each Sensor. The accuracy with which the Global Clock needs to be synchronized across geographically distributed Sensors may range from a few nanoseconds to tens of nanoseconds. This paper brings out the configuration of a real-time, Time-triggered distributed Radar Sensors Network (TTN). The generation of the accurate, synchronized Global Clock, network management and achieved practical results have been brought out.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131230743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Power Quality Enrichment in Fuel Cell Distribution Generation Integrated with CPD’s","authors":"Satyanarayana Addala, I. Naidu","doi":"10.1109/BHARAT53139.2022.00016","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00016","url":null,"abstract":"This paper describes about the power enrichment of a fuel cell integrated unified power quality conditioner (FCIUPQC). The FCIUPQC mainly consists of series as well as shunt compensators which are interconnected back-to-back through a capacitor. The FCIUPQC is one of the prominent Custom Power Devices which is used to compensate PQ Problems. However, the key feature of FC integrated Unified Power quality conditioner depends on o capacitor voltage. The proposed work FCIUPQC System incorporates both the advantages of producing renewable energy and improving the quality of electricity. The Matlab/Simulation results are presented for the FCIUPQC.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131133146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"I -V Simulation of Amperometric Biosensor in Detection of Cancer through Cyclic Voltammetry Technique","authors":"Kalyan Babu Killana, Rama Devi Killana","doi":"10.1109/BHARAT53139.2022.00011","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00011","url":null,"abstract":"This electronic A biosensor, which is electro chemical in nature comprises amperometric, potentiometric and conductometric types, and is very versatile in detection of different pathogens. They are also highly useful in detection of different cancers at an early stage. A biosensor is one which has a ligand and a transducer. Ligand refers to a biological element and transducer is the one which converts one form of energy to another. Amperometric biosensors yield current in micro amperes as output. Basing upon the range of current, the state of art can be defined. In this paper the cancer is detected at an early stage using an amperometric biosensor. Cancer is not a pathogen or a microbial cell, but it is unregulated, uncontrolled growth of living cells due to genetic imbalance. The early detection results in early health recovery. The amperometric biosensor can be fabricated with a composition of ferro ferry and glucose oxidase. Ferro ferry which is a start-up potential for amperometric biosensor for detection of pathogens. Electro chemical polymerization of aniline (PANI) test yields amine (NH2) and amene (NH) helps in detection of cancer with high sensitivity, limit of quantification and detection of oxygen content in the blood analyte of interest. The detecting element is glucose oxidase (GOx) which acts as a catalyst and is a ligand in detection of cancer at early and later stage. The detection is based on Michaelis and Menton equation yielding gluconic lactone and oxygen at anode and cathode respectively. The Oxygen content decides the cancer cell activity by measuring its sensitivity to redox potentials. The redox potentials are carried out by an electro chemical method called direct current cyclic voltammetry (DCCV) technique. In this research article, the electrochemical model in MATLAB Simulink was developed and simulated for current versus time and potential versus time. It was found that the current and potential were decreased drastically with respect to input parameters supplied. Cancer can be detected using Amperometric biosensor in DCCV technique in less time and is reliable which makes this method better than existing methods of cancer detection like biopsy, biomarkers.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130026274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Invited Talks","authors":"Tim Clark, William W. Cohen, Lawrence Hunter, Chris J. Lintott, Jude W. Shavlik","doi":"10.1109/SC.1998.10012","DOIUrl":"https://doi.org/10.1109/SC.1998.10012","url":null,"abstract":": If we graph the simplest quadratic, we see that its range, or its image, consists of all positive numbers and zero. Let us extend this idea by instead evaluating polynomials on square matrices whose entries come from the complex numbers. A version of the L'vov-Kaplansky conjecture states that the image of a multilinear polynomial evaluated over matrices, with entries from the complex numbers, is a vector space, which is an algebraic structure that much is known about. We will consider this problem in a slightly different context by adding in some elements to the complex numbers that are not necessarily commutative. We will see how the existence of such elements changes the structure of our polynomials and their images. The talk will be accessible to anyone interested in mathematics.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128455115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Preliminary Study for Realizing Frequency Control Loop of Grid-tied Synchronverter","authors":"Vidhi Pandya, K. Manjunath","doi":"10.1109/BHARAT53139.2022.00032","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00032","url":null,"abstract":"The objective of this work is to provide basic insights associated with the frequency control loop of grid-tied synchronverter. Specifically, a unified realization of grid-tied system for both abc and dq based approaches is presented. The control aspects and parameter design of the frequency control loop are revisited to assess the system dynamics for different study cases. The values of control parameters calculated and tuned in sequence for the mentioned study cases are discussed to give cognizance with the design of control parameters. The studies are performed in MATLAB simulation with all the relevant details included.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}