Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117967
C. Verma, Z. Illés
This paper used regression and moderation approaches to evaluate the student's satisfaction with informatics towards the hybrid learning in their study. Multiple Linear Regression (MLR) identified student satisfaction based on hybrid learning difficulty and benefit ($p < 0.001$). Linear Regression (LR) found hybrid learning benefits impacted the student's satis-faction significantly $(p < 0.001$). Student's $t$-test also revealed that Overall Satisfaction (OS) significantly affected hybrid learning's satisfaction ($p < 0.001$). Analysis of Co-variants (ANCOVA) also proved that hybrid learning's benefit ($p < 0.001$) and OS ($p < 0.05$) significantly influenced student satisfaction. The paper also proved that hybrid learning's benefits positively correlate with student satisfaction (0.596). The slopes of “Yes” and “No” are substantially different from one another when the probability value of 0.22 $(p > 0.05$). Hence, no moderator (OS) affects the relationship's strength between the benefit and satisfaction of hybrid learning. The paper also revealed that hybrid learning's difficulty has a negative correlation (−.18), and the benefit of hybrid learning is positively associated with student satisfaction (.66). Implementing a hybrid learning mode during Covid-19 periods significantly impacted student satisfaction and the decision taken by the administration was also meaningful.
{"title":"Predicting Student's Satisfaction towards Hybrid Learning in Informatics","authors":"C. Verma, Z. Illés","doi":"10.1109/ICIPTM57143.2023.10117967","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117967","url":null,"abstract":"This paper used regression and moderation approaches to evaluate the student's satisfaction with informatics towards the hybrid learning in their study. Multiple Linear Regression (MLR) identified student satisfaction based on hybrid learning difficulty and benefit ($p < 0.001$). Linear Regression (LR) found hybrid learning benefits impacted the student's satis-faction significantly $(p < 0.001$). Student's $t$-test also revealed that Overall Satisfaction (OS) significantly affected hybrid learning's satisfaction ($p < 0.001$). Analysis of Co-variants (ANCOVA) also proved that hybrid learning's benefit ($p < 0.001$) and OS ($p < 0.05$) significantly influenced student satisfaction. The paper also proved that hybrid learning's benefits positively correlate with student satisfaction (0.596). The slopes of “Yes” and “No” are substantially different from one another when the probability value of 0.22 $(p > 0.05$). Hence, no moderator (OS) affects the relationship's strength between the benefit and satisfaction of hybrid learning. The paper also revealed that hybrid learning's difficulty has a negative correlation (−.18), and the benefit of hybrid learning is positively associated with student satisfaction (.66). Implementing a hybrid learning mode during Covid-19 periods significantly impacted student satisfaction and the decision taken by the administration was also meaningful.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"5 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":"114107202","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 : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117660
G. Kumar, Sneha Mehta, P. Rajakumar, Gaurav Singh, Ashutosh Chauhan
The internet is another limitless space where all players, including nations, share data and correspondence innovation, which is currently vital for the cutting edgelifestyle. Since the start of the 21st 100 years, the force of the internet has been a significant wellspring of energy. The role of information in political issues has greatly increased as a result of the proliferation of ICT frameworks in all spheres of society. This capability can be used by both state-sponsored and independent artists to achieve goals online and in the virtual world. The minimal expense and the extraordinary potential effects make the force of the web alluring to all players. Truth be told, online dangers have developed dramatically with the extension of the work environment framework. In this manner, Cyberspace has turned into a landmark equipped for obliterating or delivering futile framework that is normal, unmistakable, mechanical, and reasonable, really subverting significant public abilities. This present circumstance powers generally public foundations to amend their guard procedures, because of the trouble of recognizing players for cyber attacks. It is then important to get a far reaching perspective on the issue to acquire definite, helpful data to recognize those well springs of assault on the web. This new perspective can be accomplished by utilizing the insightful technique created by the creators and applied to the information streams moving through the internet. In this manner we can gather, identify, arrange and dissect the way of behaving of those malevolent projects that act as digital weapons, utilizing a honey bee based program introduced.
{"title":"Malware Identification using a set of Transparent Honeypot in Cyberspace","authors":"G. Kumar, Sneha Mehta, P. Rajakumar, Gaurav Singh, Ashutosh Chauhan","doi":"10.1109/ICIPTM57143.2023.10117660","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117660","url":null,"abstract":"The internet is another limitless space where all players, including nations, share data and correspondence innovation, which is currently vital for the cutting edgelifestyle. Since the start of the 21st 100 years, the force of the internet has been a significant wellspring of energy. The role of information in political issues has greatly increased as a result of the proliferation of ICT frameworks in all spheres of society. This capability can be used by both state-sponsored and independent artists to achieve goals online and in the virtual world. The minimal expense and the extraordinary potential effects make the force of the web alluring to all players. Truth be told, online dangers have developed dramatically with the extension of the work environment framework. In this manner, Cyberspace has turned into a landmark equipped for obliterating or delivering futile framework that is normal, unmistakable, mechanical, and reasonable, really subverting significant public abilities. This present circumstance powers generally public foundations to amend their guard procedures, because of the trouble of recognizing players for cyber attacks. It is then important to get a far reaching perspective on the issue to acquire definite, helpful data to recognize those well springs of assault on the web. This new perspective can be accomplished by utilizing the insightful technique created by the creators and applied to the information streams moving through the internet. In this manner we can gather, identify, arrange and dissect the way of behaving of those malevolent projects that act as digital weapons, utilizing a honey bee based program introduced.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"73 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":"126264090","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 : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117927
Kumar Rajesh, Sanjeev Kumar, Kanaujia kumar Binod, H. Olasiuk, N. Vihari
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.
{"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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117801
Sudhir Anakal, S. Kar, A. Sangeetha, Sritha P, Dekka Satish, Sajitha. L. P, A. R. Prasad
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.
{"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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117580
Mary Getsy, H. Kousar, A. Shanmugam, J. S. Isaac, Nirzar Kulkarni, P. Raja, M. Sudhakar
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.
{"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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118228
Maheep Dwivedi, G. Kumar, R. Singh
A thermal management system based on liquid coolant is proposed for the single 18650-25R cylinder - shaped Lithium-ion battery to preserve operating temperature of a single battery. Result suggests that highest temperature of battery is 299.8918K, a value lower than 313K because the water coolant inflow rate for the presented model is 0.05kg/s. In addition, the effect of the 2% Ag water-based nanofluid is contrasted with that of the water coolant. It can be concluded that the effect of the nanofluid is very similar to that of a water-based coolant.
{"title":"A Numerical study of Thermal Management of single cylindrical LiFePO4 battery","authors":"Maheep Dwivedi, G. Kumar, R. Singh","doi":"10.1109/ICIPTM57143.2023.10118228","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118228","url":null,"abstract":"A thermal management system based on liquid coolant is proposed for the single 18650-25R cylinder - shaped Lithium-ion battery to preserve operating temperature of a single battery. Result suggests that highest temperature of battery is 299.8918K, a value lower than 313K because the water coolant inflow rate for the presented model is 0.05kg/s. In addition, the effect of the 2% Ag water-based nanofluid is contrasted with that of the water coolant. It can be concluded that the effect of the nanofluid is very similar to that of a water-based coolant.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"27 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":"128158479","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 : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117576
S. Mishra, Anurag Sharma, Vikas Khullar
The paper will examine the use of technology in the diagnosis and treatment of Attention Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder that affects millions globally. It will first highlight the existing challenges in diagnosing and treating ADHD and how technology can help overcome these challenges. The paper will then focus on various technological interventions, such as digital therapeutics and mobile health apps, and discuss their potential benefits and drawbacks. Lastly, the paper will consider the impact of technology-based diagnosis and treatment on the healthcare system, patient autonomy, and overall effectiveness. The traditional diagnosis process for ADHD is often lengthy and unreliable, relying on a combination of tests, leading to a lack of accuracy and inefficiency. Technological solutions have the potential to improve the accuracy and timeliness of diagnosis and treatment. Digital therapeutics, for instance, can offer individuals with ADHD an efficient way to manage their symptoms, reduce costs, and improve outcomes, all from the convenience of their own devices.
{"title":"Technological Intervention System for Attention Deficit Hyperactivity Disorder","authors":"S. Mishra, Anurag Sharma, Vikas Khullar","doi":"10.1109/ICIPTM57143.2023.10117576","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117576","url":null,"abstract":"The paper will examine the use of technology in the diagnosis and treatment of Attention Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder that affects millions globally. It will first highlight the existing challenges in diagnosing and treating ADHD and how technology can help overcome these challenges. The paper will then focus on various technological interventions, such as digital therapeutics and mobile health apps, and discuss their potential benefits and drawbacks. Lastly, the paper will consider the impact of technology-based diagnosis and treatment on the healthcare system, patient autonomy, and overall effectiveness. The traditional diagnosis process for ADHD is often lengthy and unreliable, relying on a combination of tests, leading to a lack of accuracy and inefficiency. Technological solutions have the potential to improve the accuracy and timeliness of diagnosis and treatment. Digital therapeutics, for instance, can offer individuals with ADHD an efficient way to manage their symptoms, reduce costs, and improve outcomes, all from the convenience of their own devices.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"668 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":"122619388","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 : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117823
Manish K. Assudani, Neeraj Sahu, Arulmozhi, A. Saravanan, K. Dhinakaran, Ashok Kumar
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.
{"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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117684
Baljinder Kaur, Manik Rakhra
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.
{"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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117944
Vinay Kumar Domakonda, K. Sasirekha, S. Sangeetha, U. L, Nagendiran S, M. J. Kumar
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.
{"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}
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