2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)最新文献

{"title":"Covid19 Disease Assessment Using CNN Architecture","authors":"Mary Shiba C, Sumit Mishra, S. Sandhya, K. Vidhya, Jaichandran R, G. Manjula","doi":"10.1109/ICIPTM57143.2023.10118086","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118086","url":null,"abstract":"Recently, the COVID-19 pandemic has emerged as one of the world's most critical public health concerns. One of the biggest problems in the present COVID-19 outbreak is the difficulty of accurately separating COVID-19 cases from non-COVID-19 cases at an affordable price and in the initial stages. Besides the use of antigen Rapid Test Kit (RTK) and Reverse Transcription Polymerase Chain Reaction (RT-PCR), chest x-rays (CXR) can also be used to identify COVID-19 patients. Unfortunately, manual checks may produce inaccurate results, delay treatment or even be fatal. Because of differences in perception and experience, the manual method can be chaotic and imprecise. Technology has progressed to the point where we can solve this problem by training a Deep Learning (DL) model to distinguish the normal and COVID-19 X-rays. In this work, we choose the Convolutional Neural Network (CNN) as our DL model and train it using Kaggle datasets that include both COVID-19 and normal CXR data. The developed CNN model is then deployed on the website after going through a training and validation process. The website layout is straightforward to navigate. A CXR can be uploaded and a prediction made with minimal effort from the patient. The website assists in determining whether they have been exposed to COVID-19 or not.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116794277","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 Blockchain Technology Application for Managing Blood Supply Chain","authors":"Sudhanshu Singh, Sanjeev Kumar, H. Olasiuk, R. K. Revulagadda, N. Vihari","doi":"10.1109/ICIPTM57143.2023.10118148","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118148","url":null,"abstract":"The current study proposes a blockchain-based technology application for managing blood supply chain. Every peer-to-peer transaction in a blockchain that is recorded and stored is suggested to be shared with the entities participating in the transactions. The characteristics of any blockchain used for blood supply chain are that it is immutable, decentralised, consensus-driven and transparent. Being process centric, it would be helpful in managing an efficient blood supply chain while protecting the privacy of the blood donors. Further, the use of Radio frequency identification (RFID) technologies is recommended to prevent errors in blood transfusion as well as improve the quality and productivity of the blood supply chain.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735390","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":"Transformer Monitoring and Security System Using IoT","authors":"Sudhir Anakal, S. Kar, A. Sangeetha, Sritha P, Dekka Satish, Sajitha. L. P, A. R. Prasad","doi":"10.1109/ICIPTM57143.2023.10117801","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117801","url":null,"abstract":"Temperature increases are a common source of problems in transformers. Temperature increases as load current increases. There are two ways to monitor the rise in load current. Use a potential transformer and a temperature sensor, respectively. Voltage drops and winding temperature rises as load current increases. By measuring these two variables with a voltage sensor and a temperature sensor, the transformer problem can be resolved. The quantity detected by the sensor will be relayed over IoT to the control room in order to inform it of the transformer's state. It operates totally on autopilot. The Node MCU8266 board (which consist of microcontroller and built-in Wi-Fi board) included with the sensor will activate the circuit breaker to protect the transformer when the fault level is high.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963157","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":"An Innovative Shopping System with GSM Based Automation for Physically Challenging and Old Age People","authors":"Mary Getsy, H. Kousar, A. Shanmugam, J. S. Isaac, Nirzar Kulkarni, P. Raja, M. Sudhakar","doi":"10.1109/ICIPTM57143.2023.10117580","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117580","url":null,"abstract":"The Automated Buying Cart, or “Smart Cart,” is a cutting-edge consumer device created to speed up the shopping process for customers! The Automated Shopping Cart collects all the data from the moment a customer removes an item from the shelf of the store until the final bill is generated and ready for final checkout. The time needed to shop and pay is significantly decreased. When speed and efficiency are the main concerns in today's shopping systems, an automated shopping system using Radio Frequency Identification technology emerges as a convergent technology. The evaluation's findings were presented together with suggestions for future prototype development improvements.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131438096","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 Novel Class-F Power Amplifier with reconfigurable harmonic matching technique for IoT-enabled healthcare application","authors":"Kumar Rajesh, Sanjeev Kumar, Kanaujia kumar Binod, H. Olasiuk, N. Vihari","doi":"10.1109/ICIPTM57143.2023.10117927","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117927","url":null,"abstract":"This design explores the analysis and implementation to a reconfigurable harmonic matching technique with Cascode Class-F Power Amplifier (PA) for IoT-enabled healthcare application. The special circuit efficiency and extended digital pre-distortion are taken to select for providing high efficiency and high linearity properties. A compact gallium nitride (GaN) Class F PA is developed as a proof of concept, using a reconfigurable harmonic network to demonstrate its broadband characteristics. A reconfigurable harmonic matching technique is utilized to enhance the gain up to 19.3 dB to the saturation power region. and improve the resonance band operation. The design verified maximum range of output power of 20 to 43dBm at 74.5% and power added efficiency (PAE) of 67.8%. The harmonic balance of fundamental & second balance is showed from −21dBc to − 16dBc. The simulations and calculations are verified.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131944774","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":"COVID-19 Detection on X-Ray Image Using Deep Learning","authors":"Manish K. Assudani, Neeraj Sahu, Arulmozhi, A. Saravanan, K. Dhinakaran, Ashok Kumar","doi":"10.1109/ICIPTM57143.2023.10117823","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117823","url":null,"abstract":"COVID-19 is one of the threats that came out of nowhere and literally shook the entire world. Various prediction techniques have been invented in a very short time. This study also develops a Deep Learning (DL) model which can predict the presence of COVID-19 and pneumonia by analyzing the X-ray images of human lungs. From Kaggle, a collection of X-ray images of the lungs is collected. Then, this dataset is preprocessed using two alternative methods. Some of the techniques include image enhancement and picture resizing. The two deep-learning models are then trained using the preprocessed dataset. A few more examples of DL algorithms include MobileNet and Inception-V3. The best model is then selected by validating the learned deep-learning models. As the epochs count increases during training and validation, the accuracy value for both models increases. The value of the loss increases as the number of epochs decreases. During the fourteenth validation period, the model generates a loss value of 0.32 for the MobileNet technique. During the first few training epochs, accuracy is lower, and by the fifteenth, it is close to 0.9. The Inception-V3 method produces a loss value of 0.1452 at the eleventh validation epoch, which is the lowest value. The greatest accuracy value of 0.9697 is obtained after the twelfth cycle of validation. The model that performs better and has lower loss values is then put through one last test. Inception-V3 is therefore selected as the top method for COVID-19 detection. The Inception-V3 system properly predicted each of the normal images and the COVID-19 images in the final test. Regarding pneumonia, it correctly predicted just one image out of 20 that are so small as to be disregarded. When a patient cannot afford to find a doctor for consultation, the DL model created in this work can be utilized as a preliminary test for COVID-19. By including the model created in this study as a backend processor for a website or software application, the study's findings can be updated.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114966949","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":"Factors Affecting Awareness and Practices of Green Technology","authors":"Vinita Sharma, Tanu Manocha, Seema Garg, Dr. Anchal Luthra, Shivani Dixit, Meghna Sharma","doi":"10.1109/ICIPTM57143.2023.10118326","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118326","url":null,"abstract":"Green technology is critical to reaching the global sustainable development goals. It is critical to understand and analyze why different people adopt green technologies in different ways. Despite the fact that we recognize that numerous factors influence adoption, there is still a general lack of desire to accept new green technologies. This research is an attempt to find the level of knowledge and adoption of green technologies by residents of Delhi and the NCR region. This research advances knowledge of a better understanding of green technology awareness and uptake. The findings are consistent, and people are aware of Green Technologies. The demographic profile of the respondents have a statistically significant influence on the application of these green technologies.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876922","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":"Space vector Pulse Width Modulation with 7 Level ANPC Converters for Capacitor Voltage Balancing","authors":"Sabari L Uma Maheswari, Resna S R, R. Yalini, A. M, R. Pandian, G. P","doi":"10.1109/ICIPTM57143.2023.10117778","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117778","url":null,"abstract":"The seven-level flowing, dynamic, unbiased, point-cinched converter of the half-breed. The converter geography is made up of an H-span for each stage and a three-level Active Neural Point Clamped (ANPC) converter. Through the selection of the converter's exchanging circumstances, the voltage of the H-span is ferociously maintained with fundamental force. With extensive geographic reenactment effects, working ethics, voltage regulating techniques, and converter restrictions are jointly studied. By directing the exchanging obligation patterns of 2 PWM signals, which veer the activity event of excess exchanging states in each exchanging cycle, the voltage slantingly the flying capacitor is also synchronised. There are recreation and trial grades available to demonstrate the effectiveness of this tactic. a method for altering the voltage of capacitors, including flying and dc-interface capacitors, for the 7 level ANPC (7L-ANPC) converters. 7L-ANPC converters are worked at major repetition rates whereas various switches are worked with a constant exchanging repetition rate. to test the connection among the zero grouping voltage and the typical impartial point current. The impartial point potential is meant to be controlled by an ideal zero-arrangement voltage. Altering the trading responsibility cycles also synchronises the voltage across the flying capacitor. Every time a recurrent swapping state occurs throughout an exchange period, it is altered. It is possible to test the validity of this tactic using simulation and exploratory data.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126456689","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 Survey of Poultry Farms in the Province of Punjab","authors":"Baljinder Kaur, Manik Rakhra","doi":"10.1109/ICIPTM57143.2023.10117684","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117684","url":null,"abstract":"Potential expansion in the poultry sector is hampered by a number of issues, including immunity, health, and productivity in poultry. Major obstacles to the present and future strategic direction of the sector include consumer confidence, product quality and safety, product kinds, and the introduction and reemergence of illnesses. There is also the persistent problem of the dangers to public health posed by antibiotic residues in food. This analysis of chicken production philosophy will go beyond a mere focus on disease prevention. Instead, you'll get information about the whereabouts and operations of several chicken farms. In turn allowing other researchers and industrialists to pool information on poultry farms in Punjab. In addition to this, it will take into account the ethical, social, and economic components, as well as the continuation of progress toward achieving a high level of environmental security. Stockholders, veterinarians, farmers, and all the other stakeholders in the chain of poultry production need to be more active in the industry's current position and the strategic future of the sector in order to satisfy human wants and guarantee that agriculture is viable. As a result, an examination of these vital responsibilities is presented here. In this article, we provide the locations of many Punjabi poultry farms for your convenience. Having all the farms' data in one place like this will be a huge benefit to other industrialists and academics, who can then monitor their progress as needed.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"441 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124262197","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":"An Empirical Evaluation of Machine Learning Algorithms for Groundwater Quality Classification","authors":"Vinay Kumar Domakonda, K. Sasirekha, S. Sangeetha, U. L, Nagendiran S, M. J. Kumar","doi":"10.1109/ICIPTM57143.2023.10117944","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117944","url":null,"abstract":"Groundwater is an effective monitoring system is essential, one of the most vulnerable resources. The use of spatial data to measure spatial changes in groundwater one of the most key things of soil monitoring. As a result, the most important water constituents based on groundwater characteristics is critical for an effective soil monitoring programmed the development of an efficient reference system that estimates. We evaluated the performance of neural network (NN)-based algorithms and event prediction models (EPM)) to estimate the severity of SS in some Indian regions throughout this study. Using 16 years of We developed a regional and local model remote sensing dataset to estimate the SS of the entire Indian basin and each catchment in the study area. Based on EPM and NN regional models had accuracy and SS of 88%, 96%, 88%, and 87%, The estimation and SS outperformed both the regional and spatial NN by 50-84% and 71-84%, whereas the local model was the empirically derived model, respectively. Consequently, according to the findings, machine learning methods should be used to accurately and continuously monitor groundwater quality parameters. In complex topography of India and other similar land classifications.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124486345","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}