Rohan Khurana, Saksham Arora, Parakh Rushil Sharma, V. V. Ramana
{"title":"An Online Sensorless Fractional Open Circuit Voltage Based Method for Tracking Maximum Power from Photovoltaic Module","authors":"Rohan Khurana, Saksham Arora, Parakh Rushil Sharma, V. V. Ramana","doi":"10.1109/CONIT59222.2023.10205757","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205757","url":null,"abstract":"An online sensorless fractional open circuit voltage method is proposed in this manuscript for tracking the maximum power from the photovoltaic(PV) module. Initially, open circuit voltage of the PV module is calculated by obtaining temperature and irradiance values using public application program interfaces. In this approach, the maximum power voltage is calculated by multiplying the open circuit voltage of the module with a coefficient that is determined using datasheet parameters. This calculated value serves as a reference and is compared with the actual panel voltage. The resulting difference is given to a PI controller to generate PWM signals for the power converter. To simulate real-world conditions, a Wi-Fi-based microcontroller is employed alongside MATLAB Simulink. The effectiveness of this method is verified by comparing it with the conventional perturb and observe method.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949581","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":"Research and Implementation of Fusion Machine Learning Algorithm in Tourism Recommendation","authors":"Kong Ting","doi":"10.1109/CONIT59222.2023.10205927","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205927","url":null,"abstract":"Accurate recommendation of tourist attractions is conducive to improving the travel efficiency and tourism experience of users. However, the choice of tourism feature factors and the different recommendation algorithms will affect the accuracy of scenic spot recommendation. In view of the problems of sparse data, insufficient tourism factors and low recommendation accuracy in the existing tourism recommendation research, this paper integrates the research of machine learning algorithm in tourism recommendation, which is a research project to develop the tourism recommendation fusion machine learning algorithm. The main purpose of this study is to recommend tourists according to their interests and behaviors so that they can make full use of their tourism experience when visiting new places. The main reason for developing the system is that there are many problems in the tourism industry, such as lack of tourism attraction, low service quality, high price and poor customer satisfaction. This problem can be solved by using machine learning technology and deep neural network (DNN), which has been proven to be effective in predicting future results based on past data. Therefore, we developed a DNN model for recommending tourists.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130757612","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":"Swarm Based Optimized Key Generation for Preserving the Privacy in Cloud Environment","authors":"Sasidhar Attuluri, B. Bama, K. Anand","doi":"10.1109/CONIT59222.2023.10205751","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205751","url":null,"abstract":"Cloud computing may be described as a collection of software applications and hardware components that are used in tandem to provide users with a variety of cloud services in response to their specific needs. Cloud computing ensures a significant position in the technological business by allowing users to access services from almost any location in the globe. Cloud computing's biggest concerns are data privacy and integrity. The cloud's distributed nature makes it challenging to build a unified communication system. Therefore, it is crucial to establish security measures that guarantee privacy during data transfers. The primary goal of this study is to provide an optimization method for addressing the cloud industry's privacy preservation issues. Sensitive information is protected from unapproved access by having it obfuscated via data sanitization. The work comprises of generating an optimal key for data encryption through Kronecker method. The key generation is done using proposed Enhanced Harmony Search Algorithm (EHSA) where the continuous values of Harmony search method will be converted into discrete model using roundoff method. The results are compared with the recent state-of-the-art algorithms to prove its significance.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131057863","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}
Arsha Chandran B, Durga Padmavilochanan, Rahul Krishnan Pathinarupothi, K. A. Menon, Subhash Chandra, Gopala Krishna Pillai M
{"title":"Minimal Features based Non Invasive Cholesterol Computation using Machine Learning","authors":"Arsha Chandran B, Durga Padmavilochanan, Rahul Krishnan Pathinarupothi, K. A. Menon, Subhash Chandra, Gopala Krishna Pillai M","doi":"10.1109/CONIT59222.2023.10205812","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205812","url":null,"abstract":"Cholesterol level computation has always been an invasive and time-consuming process. This significantly hinders quick detection and delays treatment. Good and bad cholesterol exist in our body, but the latter leads to plaque formation and blocked arteries. These uncontrolled levels of bad cholesterol can cause various cardiovascular and other diseases. Conventional cholesterol calculation requires a clinical laboratory setup where specific analytical procedures need to be conducted on blood drawn invasively. As a result, a user-friendly, non-invasive method of monitoring cholesterol has become imperative. Here, the use of machine learning techniques is explored for the computation of cholesterol from the demographic and vital features of 573 subjects with ages ranging from 18 to 70. Five regressor models were implemented and compared to explore any correlation of the non-invasive features with each factor in the cholesterol lipid profile. Promising results are observed with support vector regressors and extreme gradient boosting regressors. Hence, this study can pave the way to designing and deploying a simple, reliable, non-invasive cholesterol monitoring device.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873740","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":"Revolutionizing Cloud Infrastructure Management: Streamlined Provisioning and Monitoring with Automated Tools and User-Friendly Frontend Interface","authors":"S. Kamath, M. M, Shankar Vignesh, Darshan G","doi":"10.1109/CONIT59222.2023.10205728","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205728","url":null,"abstract":"Cloud infrastructure provisioning has become a crucial aspect of the software development lifecycle, as companies shift from on-premise server management to cloud-based services. This transition allows organizations to focus on their core business rather than worrying about server and hardware management. The DevOps culture has further enhanced this approach by utilizing automated processes for delivering applications across various environments. Continuous Integration (CI) and Continuous Delivery (CD) have revolutionized application development and release management, facilitating seamless delivery with integrated feedback. To automate various tasks in the CI/CD framework, the use of GitHub Workflow has been proposed. It allows defining workflows as a series of jobs and triggering them automatically based on specific events, thus enhancing the efficiency and reliability of the development process. Additionally, its pre-built and custom actions provide added flexibility and functionality, making it a valuable tool for modern software development teams. This paper demonstrates the feasibility of designing an effective framework that achieves continuous integration, testing, and delivery of cloud resource provisioning. By employing a build pipeline concept, the framework can automate various tasks such as source code compilation, code analysis, test execution, packaging, infrastructure provisioning, deployment, and notifications. This brings an idea to develop a simple software solution that will use GitHub Actions in the CI/CD pipeline, speed up the process of provisioning cloud infrastructure through a simple frontend and track the resource utilization of provisioned resources through a dashboard, so delivery of cloud infrastructure will happen quickly.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133310808","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":"Reinforcement Learning-Based Bonobo Optimizer for Efficient Load Balancing in Cloud Computing","authors":"Adarsh M. G, B. K","doi":"10.1109/CONIT59222.2023.10205866","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205866","url":null,"abstract":"The field of optimization has undergone a paradigm shift with the advent of reinforcement learning techniques, which are widely used for solving complex problems in various domains. In this paper, we propose a novel optimization algorithm, called the Bonobo Optimization. The algorithm is inspired by the social behaviour of Bonobo apes, which are known for their collaborative and communicative behaviour. This algorithm is designed to learn from its interactions with the environment and adapt to new situations, making it a robust and adaptive optimization tool. We demonstrate the effectiveness on several benchmark optimization problems, where it outperforms them.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131439297","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":"2D Metamaterials for Blinds and Polarization Conversion Applications","authors":"A. Bharathi, G. Ravi, Shnakar Reddy","doi":"10.1109/CONIT59222.2023.10205532","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205532","url":null,"abstract":"Metamaterials are artificial materials possessing peculiar permittivity and permeability properites which are beyond the naturally occurring conventional materials. This paper presents the use of 2D metamaterial structures called frequency selective surfaces (FSS) to (i) Provide wireless security by reducing interference from unlicensed ISM frequency bands entering into a room by installing FSS on window blinds (ii) Achieve polarization conversion for polarization sensitive wireless communication systems. FSS structure consists of periodic arrangement of conducting elements or unit cells on a substrate. The proposed FSS structure on window blinds is very simple and is made of plus type unit cells. It acts as band stop filter to block multiple unwanted frequencies for different angles of rotation of the blinds. The transmission coefficients are studied for different angles of rotation of the blinds using simulations. Another FSS structure with concentric square split ring resonators (SRR) as unit cell achieves polarization conversion (PC) by polarizing the unit cells magnetically or electrically. The proposed SRR based FSS structure achieves polarization conversion over a wide bandwidth with good polarization conversion efficiency unaffected by angle of incidence of the incoming wave. Both FSS structures are realized on FR4 Epoxy substrates in EM simulation software High Frequency Structure Simulator (HFSS).","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128880924","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}
N. Sai, Satwik Reddy, Poorna Muni, Saisdhar Reddy, Venkata Siva, N. Mohan, Sachin S. Kumar
{"title":"A Fast Iterative Filtering Method for Efficient Denoising of Phonocardiogram Signals","authors":"N. Sai, Satwik Reddy, Poorna Muni, Saisdhar Reddy, Venkata Siva, N. Mohan, Sachin S. Kumar","doi":"10.1109/CONIT59222.2023.10205633","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205633","url":null,"abstract":"The need for computer-aided diagnosis (CAD) in the automatic monitoring of cardiac diseases has significantly increased in the current medical arena. This paper presents a novel denoising approach based on Fast Iterative Filtering (FIF) for CAD in the automatic monitoring of cardiac diseases. FIF efficiently eliminates unwanted noise from phonocardiogram (PCG) signals, preserving information for precise diagnosis. The comparative analysis highlights the exceptional performance of the FIF method in enhancing cardiac signal denoising tasks in automated heart monitoring systems. The proposed framework integrates a robust phonocardiography system with suitable hardware and a computer, utilizing the FIF technique to denoise PCG signals. The system provides a visual representation of the denoised waveform to the user and sends cardiac information to physicians for further analysis.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131276746","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":"Proposed Model of Thermal Management for Pure Electric Vehicles","authors":"Pankhuri Kaushik, Manjeet Singh","doi":"10.1109/CONIT59222.2023.10205639","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205639","url":null,"abstract":"The scientific developments and trends of thermal management approaches are supported by an introduction to the present thermal issues in transportation electrification. Modern trends in using different petroleum engines affect climate change and global warming, but recent automotive industries are primarily investigating intelligent thermal management and control solutions right now. Extensive analysis of the thermal issues is necessary for vehicle electrification to improve battery performance and life as well as vehicle efficiency. For the pre-production model or production of Electric vehicles, this has been taken into account when designing the battery modules and packs. Designs of different components are improving, and numerous challenges are now being solved. Performance, usability, volume, cost, management, and safety are all trade-offs. There are different components in the vehicles that require proper thermal management because not only batteries but all the power-electronics components dissipate heat. Due to this, it can impact the performance of vehicles. Therefore, electric vehicle electrification and thermal management are required. In this paper proposed model of thermal management for battery electric vehicles has been discussed.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115210725","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":"Comparative Analysis of Different Optimization Technique for Optimal Size and Location of Non-Dispatchable Energy Resources","authors":"Gourav Semwa, Sachin Sharma, Tanuj Rawat","doi":"10.1109/CONIT59222.2023.10205709","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205709","url":null,"abstract":"This paper presents, a comparative analysis of optimization techniques such as particle swarm optimization algorithm and water evaporation algorithm for the optimal location and sizing issue of non-dispatchable energy sources like wind energy in a distribution system. For extracting maximum benefit of high penetration of wind energy sources in distribution system, it is important to determine the optimal location and size. However, inappropriate location and size results in downgrading the operational performance of power system. In this paper, minimization of energy loss for one day is taken into account for the optimization of wind generation planning. The system is condition to the constraint like nodal power balance, node voltage limit and feeder current limit etc. This comparative analysis is performed on the IEEE- 33 bus radial distribution system and the result of the simulation is promising for the considered planning problem.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124187926","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}