Pub Date : 2023-11-08DOI: 10.59256/ijire.20230405005
Riyaz B, Vijay K
NAGIOS is Server Monitoring tool as an important criteria coming to a data center operation and service .Detects all type of network errors or server issues and allowed to monitor the server performance issues by using Nagios. This can be manually and physically monitoring the location of the server and mapping the network interface and network bridge server will be monitor. Count every 10 minutes once the application will be running properly or else store application related bugs in data center. Large organizations always require fast and efficient network monitoring system which reports to the network administrator as soon as a network problem arises. This paper presents an effective and automatic network monitoring system that continuously monitor all the network switches and inform the administrator by E-MAIL or SMS when any of the network switch goes down. An efficient and automatic network monitoring is always required for large organizations like universities, companies and other business sectors where the manual network monitoring is very difficult. Since large organizations have a big network topology, the manual network monitoring causes waste of time to point out problem location.
{"title":"Deploying Nagios for Service Monitoring and Reporting","authors":"Riyaz B, Vijay K","doi":"10.59256/ijire.20230405005","DOIUrl":"https://doi.org/10.59256/ijire.20230405005","url":null,"abstract":"NAGIOS is Server Monitoring tool as an important criteria coming to a data center operation and service .Detects all type of network errors or server issues and allowed to monitor the server performance issues by using Nagios. This can be manually and physically monitoring the location of the server and mapping the network interface and network bridge server will be monitor. Count every 10 minutes once the application will be running properly or else store application related bugs in data center. Large organizations always require fast and efficient network monitoring system which reports to the network administrator as soon as a network problem arises. This paper presents an effective and automatic network monitoring system that continuously monitor all the network switches and inform the administrator by E-MAIL or SMS when any of the network switch goes down. An efficient and automatic network monitoring is always required for large organizations like universities, companies and other business sectors where the manual network monitoring is very difficult. Since large organizations have a big network topology, the manual network monitoring causes waste of time to point out problem location.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"105 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135342214","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}
Pub Date : 2023-10-24DOI: 10.59256/ijire.20230405004
Manan Pruthi, Ashish Katyal, Sanyam a, Rishabh Semwal, Vijay Kumar
Classifying the different types of bats hots played in cricket has always been a challenging task in the field of cricket indexing .Identifying the type of shot bats man played during a match is a crucial aspect that has not been thoroughly studied. This information can be used for context-based advertisements for cricket viewers, creating sensor-based commentary systems, and coaching assistants. However, manually identifying the different hots from video frames is difficult due to the similarity between them. This project presents a new approach for recognizing and categorizing different crickets hots by using state-of-the-art techniques such as saliency and optical flow to capture both static and dynamic information, and Long Short Term Memory (LSTM) for representation extraction. Additionally, a new data set of120 videos has been introduced to evaluate the performance of the model, with 4 classes of shot search having 30videos.Themodelachievedanaccuracyof83.34%for the four classes of crickets’ hots. Key Word: Cricket, Convolution Neural Network, LSTM, Media Pipe
{"title":"Detection of Cricket Shots Using Deep Learning","authors":"Manan Pruthi, Ashish Katyal, Sanyam a, Rishabh Semwal, Vijay Kumar","doi":"10.59256/ijire.20230405004","DOIUrl":"https://doi.org/10.59256/ijire.20230405004","url":null,"abstract":"Classifying the different types of bats hots played in cricket has always been a challenging task in the field of cricket indexing .Identifying the type of shot bats man played during a match is a crucial aspect that has not been thoroughly studied. This information can be used for context-based advertisements for cricket viewers, creating sensor-based commentary systems, and coaching assistants. However, manually identifying the different hots from video frames is difficult due to the similarity between them. This project presents a new approach for recognizing and categorizing different crickets hots by using state-of-the-art techniques such as saliency and optical flow to capture both static and dynamic information, and Long Short Term Memory (LSTM) for representation extraction. Additionally, a new data set of120 videos has been introduced to evaluate the performance of the model, with 4 classes of shot search having 30videos.Themodelachievedanaccuracyof83.34%for the four classes of crickets’ hots. Key Word: Cricket, Convolution Neural Network, LSTM, Media Pipe","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"BME-28 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135266584","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}
Pub Date : 2023-10-24DOI: 10.59256/ijire.20230405003
Manan Pruthi, Ashish Katyal, Sanyam a, Rishabh Semwal, Vijay Kumar
Pneumonia is basically an infection which can infect one or both the lungs of a person through their air bladders. Their sacs of such a person might get filled with pus, which in turn cause cough along with problems related to breathing and fever. Pneumonia is usually originated from various organisms such as viruses, fungi and bacteria. Pneumonia may be mild or even life-threatening in some situations. It usually turns out to be very serious for newborns and very young children, also for senior citizens having age more than 65 years, especially people alreadyhavingsomehealthissuesorenfeebleimmunesystems.Thisresearch focuses on comparing the best ways of using Machine Learning and Deep Learning for detecting Pneumonia using its different symptoms as features. For the purpose of this research, the data setthath as been use dcan be extracted from Kaggle website. It is a comparative study to compare which as pects of the disease should be considered for the best model. We compared various deep learning and machine learning models such as Random Forest and numerous Convolutional Neural Network architectures(VGG-16,InceptionV3,2:1 Architecture without using Batch Normalization andDropout,4:2ArchitectureusingBatchNormalizationandDropout,5Convolutional Blocks CNN with Batch Normalization and Max-pooling) for each and every feasible symptom to provide a holistic way of determining whether or not patients offers from Pneumonia. Key Word: Pneumonia,ConvolutionalNeuralNetwork,VGG-16,InceptionV3, Random Forest
{"title":"Comparative Analysis for Prediction of Pneumonia using Deep learning Methods","authors":"Manan Pruthi, Ashish Katyal, Sanyam a, Rishabh Semwal, Vijay Kumar","doi":"10.59256/ijire.20230405003","DOIUrl":"https://doi.org/10.59256/ijire.20230405003","url":null,"abstract":"Pneumonia is basically an infection which can infect one or both the lungs of a person through their air bladders. Their sacs of such a person might get filled with pus, which in turn cause cough along with problems related to breathing and fever. Pneumonia is usually originated from various organisms such as viruses, fungi and bacteria. Pneumonia may be mild or even life-threatening in some situations. It usually turns out to be very serious for newborns and very young children, also for senior citizens having age more than 65 years, especially people alreadyhavingsomehealthissuesorenfeebleimmunesystems.Thisresearch focuses on comparing the best ways of using Machine Learning and Deep Learning for detecting Pneumonia using its different symptoms as features. For the purpose of this research, the data setthath as been use dcan be extracted from Kaggle website. It is a comparative study to compare which as pects of the disease should be considered for the best model. We compared various deep learning and machine learning models such as Random Forest and numerous Convolutional Neural Network architectures(VGG-16,InceptionV3,2:1 Architecture without using Batch Normalization andDropout,4:2ArchitectureusingBatchNormalizationandDropout,5Convolutional Blocks CNN with Batch Normalization and Max-pooling) for each and every feasible symptom to provide a holistic way of determining whether or not patients offers from Pneumonia. Key Word: Pneumonia,ConvolutionalNeuralNetwork,VGG-16,InceptionV3, Random Forest","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135266161","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}
Pub Date : 2023-10-03DOI: 10.59256/ijire.20230405002
Nishadevi V, Sandanalakshmi S
Recent Recognition and division of a mind cancer, for example, glioblastoma multi shaped in attractive reverberation (MR) pictures are frequently difficult because of its characteristically heterogeneous sign qualities. A strong division strategy for cerebrum growth X-ray checks was created and tried. Techniques Basic limits and measurable strategies can't enough portion the different components of the GBM, like nearby difference upgrade, rot, and edema. Most voxel-based techniques can't accomplish agreeable outcomes in bigger informational indexes, and the strategies in view of generative or discriminative models have natural constraints during application, for example, little example set learning and move. The commitments of these two tasks were to show the complicated collaboration of mind and conduct and to comprehend and analyze cerebrum sicknesses by gathering and dissecting huge amounts of information. Chronicling, examining, and sharing the developing neuroimaging datasets presented significant difficulties. Multimodal MR pictures are sectioned into super pixels utilizing calculations to ease the inspecting issue and to further develop the example representativeness. Then, highlights were separated from the super pixels utilizing staggered Gabor wavelet channels. In view of the elements, grey level co-occurrence matrix (GLCM) model and a fondness metric model for growths were prepared to beat the impediments of past generative models.
{"title":"Machine Learning and Deep Learning Approaches For Brain Disease Diagnosis","authors":"Nishadevi V, Sandanalakshmi S","doi":"10.59256/ijire.20230405002","DOIUrl":"https://doi.org/10.59256/ijire.20230405002","url":null,"abstract":"Recent Recognition and division of a mind cancer, for example, glioblastoma multi shaped in attractive reverberation (MR) pictures are frequently difficult because of its characteristically heterogeneous sign qualities. A strong division strategy for cerebrum growth X-ray checks was created and tried. Techniques Basic limits and measurable strategies can't enough portion the different components of the GBM, like nearby difference upgrade, rot, and edema. Most voxel-based techniques can't accomplish agreeable outcomes in bigger informational indexes, and the strategies in view of generative or discriminative models have natural constraints during application, for example, little example set learning and move. The commitments of these two tasks were to show the complicated collaboration of mind and conduct and to comprehend and analyze cerebrum sicknesses by gathering and dissecting huge amounts of information. Chronicling, examining, and sharing the developing neuroimaging datasets presented significant difficulties. Multimodal MR pictures are sectioned into super pixels utilizing calculations to ease the inspecting issue and to further develop the example representativeness. Then, highlights were separated from the super pixels utilizing staggered Gabor wavelet channels. In view of the elements, grey level co-occurrence matrix (GLCM) model and a fondness metric model for growths were prepared to beat the impediments of past generative models.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738716","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}
Pub Date : 2023-09-13DOI: 10.59256/ijire.20230405001
Ashutosh Kumar Singh, Ayush Guha
The worldwide rotary pump market was estimated at around $5000 million in 2020 and the market is supposed to increase by 20% toward the end of 2026, seeing a compounded annual growth rate of 3% over a period from 2022-2026. The scrapping of an engineered component made from non-renewable resources at an early stage in life due to wear goes against the ethics of the conservation of natural resources as the frictional processes lead to dissipation of a part of input energy. In this context many research works focused on analyzing wear behavior using various formulated and vegetable oils but no works investigated on using hydraulic oils as lubricant for wear preventative nature. The objective of the work was to obtain diamond-like carbon coating on high-speed steel samples and test them for better wear preventative behavior with different hydraulic fluids. The HSS ball sample of 12.7 mm diameter were used as a substrate on which the dlc coating was to be developed using then RF-PECVD technique. The developed DLC coating was characterized by conducting X-Ray diffraction which suggested the coating to be of amorphous structure, Raman spectroscopy which determined the content of graphite (sp2 ) to be 47% and that of diamond (sp3 ) to be 53%.Further nanoindentation was conducted to compare the hardness of the high-speed steel sample before and after coating which was 12.22GPa and 35.56GPa respectively. The four ball test was performed to investigate the anti-wear properties of lubricating oil at specific conditions such as higher load, controlled temperature and constant rotating speed of the ball as per the ASTM D4172. The four ball results show that the coefficient of friction for samples reduces by around 36% when test oil 3 is used in uncoated samples and 48% in coated samples. Also, the wear rate for the test oil 3 for coated samples was found to be 0.7381x10-6 mm/Nm, which is the lowest wear rate among the other test oils. The outcome of the project is the reduction of coefficient of friction by 84% with respect to dry condition when test oil 3 is used. Therefore, it can be deduced that test oil 3 stands out as the most effective lubricant among the trio of test oils.In this direction , further work can be carried out by carrying out four ball tests with lubricant oils in combination with additives to it so as to enhance the base oil property and suppress undesirable base oil properties. Fabrication and manufacturing of the vane model can be done to validate the result with the help of experimental work. Key Word: DLC; HSS; Raman Spectrograph; AFM; 4-Ball Test, Hydraulic Oil.
{"title":"Wear Behavior of DLC Coated HSS with Hydraulic Fluids","authors":"Ashutosh Kumar Singh, Ayush Guha","doi":"10.59256/ijire.20230405001","DOIUrl":"https://doi.org/10.59256/ijire.20230405001","url":null,"abstract":"The worldwide rotary pump market was estimated at around $5000 million in 2020 and the market is supposed to increase by 20% toward the end of 2026, seeing a compounded annual growth rate of 3% over a period from 2022-2026. The scrapping of an engineered component made from non-renewable resources at an early stage in life due to wear goes against the ethics of the conservation of natural resources as the frictional processes lead to dissipation of a part of input energy. In this context many research works focused on analyzing wear behavior using various formulated and vegetable oils but no works investigated on using hydraulic oils as lubricant for wear preventative nature. The objective of the work was to obtain diamond-like carbon coating on high-speed steel samples and test them for better wear preventative behavior with different hydraulic fluids. The HSS ball sample of 12.7 mm diameter were used as a substrate on which the dlc coating was to be developed using then RF-PECVD technique. The developed DLC coating was characterized by conducting X-Ray diffraction which suggested the coating to be of amorphous structure, Raman spectroscopy which determined the content of graphite (sp2 ) to be 47% and that of diamond (sp3 ) to be 53%.Further nanoindentation was conducted to compare the hardness of the high-speed steel sample before and after coating which was 12.22GPa and 35.56GPa respectively. The four ball test was performed to investigate the anti-wear properties of lubricating oil at specific conditions such as higher load, controlled temperature and constant rotating speed of the ball as per the ASTM D4172. The four ball results show that the coefficient of friction for samples reduces by around 36% when test oil 3 is used in uncoated samples and 48% in coated samples. Also, the wear rate for the test oil 3 for coated samples was found to be 0.7381x10-6 mm/Nm, which is the lowest wear rate among the other test oils. The outcome of the project is the reduction of coefficient of friction by 84% with respect to dry condition when test oil 3 is used. Therefore, it can be deduced that test oil 3 stands out as the most effective lubricant among the trio of test oils.In this direction , further work can be carried out by carrying out four ball tests with lubricant oils in combination with additives to it so as to enhance the base oil property and suppress undesirable base oil properties. Fabrication and manufacturing of the vane model can be done to validate the result with the help of experimental work. Key Word: DLC; HSS; Raman Spectrograph; AFM; 4-Ball Test, Hydraulic Oil.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135781771","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}
Software engineering is a dynamic field that is always evolving to meet the demands of difficult software development projects. This journal article investigates contemporary software engineering methodologies, tools, and best practices in order to enhance the efficiency, quality, and dependability of software development processes. We discuss the most recent advancements in quality assurance, DevOps, agile software development, and automated testing. We also look at the role that cooperation, communication, and project management have in efficient software engineering methods. By highlighting these advances, this article aims to promote the delivery of high-quality software products and improve software development processes.
{"title":"Software Engineering: New Methodologies, Tools, and Best Practices in Software Development","authors":"Twinkle Bhowmick, Suraj Koner, Biraj Saha, Debosree Ghosh, Bablu Pramanik","doi":"10.15680/ijirset.2023.1208077","DOIUrl":"https://doi.org/10.15680/ijirset.2023.1208077","url":null,"abstract":"Software engineering is a dynamic field that is always evolving to meet the demands of difficult software development projects. This journal article investigates contemporary software engineering methodologies, tools, and best practices in order to enhance the efficiency, quality, and dependability of software development processes. We discuss the most recent advancements in quality assurance, DevOps, agile software development, and automated testing. We also look at the role that cooperation, communication, and project management have in efficient software engineering methods. By highlighting these advances, this article aims to promote the delivery of high-quality software products and improve software development processes.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135452548","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}
Pub Date : 2023-07-25DOI: 10.15680/ijirset.2023.12070043
Mithun Gowda C G, M. B
The major structural formation that will be offered with the aid of the services system that is being created are stream analysis and competitive resolution. In the Present scenario different tools are used for analyzing different social media. In this application the analysis over different social media is done by a single tool. The system offers high volume flexibility, numerous types of element transfer and statistic aggregation. The platform interactions and positioned crafting activities are both protected by authenticated processed security, which increases the system’s flexibility and security.
{"title":"Plot Positioning and Media Planning","authors":"Mithun Gowda C G, M. B","doi":"10.15680/ijirset.2023.12070043","DOIUrl":"https://doi.org/10.15680/ijirset.2023.12070043","url":null,"abstract":"The major structural formation that will be offered with the aid of the services system that is being created are stream analysis and competitive resolution. In the Present scenario different tools are used for analyzing different social media. In this application the analysis over different social media is done by a single tool. The system offers high volume flexibility, numerous types of element transfer and statistic aggregation. The platform interactions and positioned crafting activities are both protected by authenticated processed security, which increases the system’s flexibility and security.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81238463","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}
Pub Date : 2023-07-25DOI: 10.15680/ijirset.2023.12070035
Siddhartha Bhowmick, Bishal Singh, Md Mushahid Ansari, M. Sharma
The aim of this study is to develop a comprehensive mathematical model to accurately represent the dual combustion cycle in internal combustion engines, with a focus on improving combustion efficiency and reducing emissions. The novelty of this research lies in the integration of advanced combustion models within the mathematical framework to capture the unique characteristics of dual combustion cycles. The model will consider factors such as combustion characteristics, fuel-air mixing, heat transfer, and emissions. By accurately simulating the dual combustion cycle, valuable insights can be gained into the complex interactions occurring within the engine, leading to the development of optimized engine design and control strategies. The proposed model will be implemented using MATLAB, which offers flexibility and computational efficiency. The results obtained from the simulation can be validated against experimental data to ensure the accuracy and reliability of the model. This study is expected to contribute to the advancement of dual combustion cycle technology and provide valuable guidance for the design and optimization of future internal combustion engines.
{"title":"Simulation of Dual Combustion Cycle in Internal Combustion Engines using MATLAB","authors":"Siddhartha Bhowmick, Bishal Singh, Md Mushahid Ansari, M. Sharma","doi":"10.15680/ijirset.2023.12070035","DOIUrl":"https://doi.org/10.15680/ijirset.2023.12070035","url":null,"abstract":"The aim of this study is to develop a comprehensive mathematical model to accurately represent the dual combustion cycle in internal combustion engines, with a focus on improving combustion efficiency and reducing emissions. The novelty of this research lies in the integration of advanced combustion models within the mathematical framework to capture the unique characteristics of dual combustion cycles. The model will consider factors such as combustion characteristics, fuel-air mixing, heat transfer, and emissions. By accurately simulating the dual combustion cycle, valuable insights can be gained into the complex interactions occurring within the engine, leading to the development of optimized engine design and control strategies. The proposed model will be implemented using MATLAB, which offers flexibility and computational efficiency. The results obtained from the simulation can be validated against experimental data to ensure the accuracy and reliability of the model. This study is expected to contribute to the advancement of dual combustion cycle technology and provide valuable guidance for the design and optimization of future internal combustion engines.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"272 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84044979","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}
Pub Date : 2023-07-25DOI: 10.15680/ijirset.2023.1207076
Mohamad Saad Belwadi, Srishtik G Bhandarkar, Su C-J
Every day iot performs an important position in our everyday existence. More than 80% of electromechanical conversion in industrial drives belongs to the Induction Motor (IM)And this wide variety is growing year on year all through the sector as the gadget moved from manual to automatic. However most induction motors are manually operated and cannot be monitored remotely. Induction motor vehicles are also such huge a part of our electric load and now not being able to reveal and control the motor despite the fact that the era exists within the form of iotis disheartening. This paper is at the smart tracking and manipulate of induction motors with the assist of a web application and real-time database. The system proposed here may be used with any existing induction motor that's being controlledVia a VFD. This gadget offers a complete way to reveal and manipulate the motor remotely with only a device that has a browser and a web connection and also to hit upon and expect deviations from everyday running parameters in advance than the superiority of motor failure.
{"title":"A Novel Approach to Controlling Parameters of Three-Phase Induction Motor","authors":"Mohamad Saad Belwadi, Srishtik G Bhandarkar, Su C-J","doi":"10.15680/ijirset.2023.1207076","DOIUrl":"https://doi.org/10.15680/ijirset.2023.1207076","url":null,"abstract":"Every day iot performs an important position in our everyday existence. More than 80% of electromechanical conversion in industrial drives belongs to the Induction Motor (IM)And this wide variety is growing year on year all through the sector as the gadget moved from manual to automatic. However most induction motors are manually operated and cannot be monitored remotely. Induction motor vehicles are also such huge a part of our electric load and now not being able to reveal and control the motor despite the fact that the era exists within the form of iotis disheartening. This paper is at the smart tracking and manipulate of induction motors with the assist of a web application and real-time database. The system proposed here may be used with any existing induction motor that's being controlledVia a VFD. This gadget offers a complete way to reveal and manipulate the motor remotely with only a device that has a browser and a web connection and also to hit upon and expect deviations from everyday running parameters in advance than the superiority of motor failure.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85001627","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}
Pub Date : 2023-06-25DOI: 10.15680/ijirset.2023.1206002
Sabeur Masmoudi
The elevators have been developed to serve the requested passenger’s floors with efficient vertical transportation. However, it presents permanent difficulties for people with special needs. They can’t manipulate easily those elevators and usually make them feel uncomfortable. Many researches propose an efficient solution for those peoples based on biometric technology. The main purpose of this research is to investigate the effectiveness and accuracy of the biometric recognition technology in the development of a smart elevator for people with special needs and how to help them to use elevators easily based on multimodal biometric systems? In this paper, we developed a prototype of an efficient three floors smart elevator through programmable electronic devices such as microcontroller and programmable logic controller. The proposed smart elevator allow handicapped peoples to control the elevator easily and comfortably, especially people with speechless, visual, hearing, and physical impairments that have daily challenges with elevator. An average performance rate more than 98% has been stored with an efficient control of the proposed smart elevator. The proposed smart elevator permits to facilitate the daily life of people with special needs making them more independent by using biometric recognition modalities.
{"title":"Design and Implementation of Smart Control Elevator Based on Biometric Recognition System for People with Special Needs","authors":"Sabeur Masmoudi","doi":"10.15680/ijirset.2023.1206002","DOIUrl":"https://doi.org/10.15680/ijirset.2023.1206002","url":null,"abstract":"The elevators have been developed to serve the requested passenger’s floors with efficient vertical transportation. However, it presents permanent difficulties for people with special needs. They can’t manipulate easily those elevators and usually make them feel uncomfortable. Many researches propose an efficient solution for those peoples based on biometric technology. The main purpose of this research is to investigate the effectiveness and accuracy of the biometric recognition technology in the development of a smart elevator for people with special needs and how to help them to use elevators easily based on multimodal biometric systems? In this paper, we developed a prototype of an efficient three floors smart elevator through programmable electronic devices such as microcontroller and programmable logic controller. The proposed smart elevator allow handicapped peoples to control the elevator easily and comfortably, especially people with speechless, visual, hearing, and physical impairments that have daily challenges with elevator. An average performance rate more than 98% has been stored with an efficient control of the proposed smart elevator. The proposed smart elevator permits to facilitate the daily life of people with special needs making them more independent by using biometric recognition modalities.","PeriodicalId":14005,"journal":{"name":"International Journal of Innovative Research in Science, Engineering and Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90298821","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}
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