Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117747
Vagisha, E. Rajesh, Shajahan Basheer, K. Baskar
With growing population there is a great demand for land to make accommodations which in turn decreases the availability of agricultural land. The unavailability of agricultural land may lead to a shortage of food in the future. The food shortage problem can be resolved using the Soilless Smart Farming technique. Soilless Smart Farming basically means growing crops like grain, vegetables, fruits, and seeds without soil. Soilless Smart Farming can also be termed Hydroponics; here word Hydro refers to water and Ponics indicates the flow of solution to plants without soil. The advantages of using Soilless Farming are higher crop yield, less water required, low risk of parasites attack, and continuous growth throughout the year. It becomes possible to grow a variety of crops in a small area as compared with the traditional way of farming where soil plays a measure role in cultivation. In Soilless Smart Farming IoT sensors can be used for measuring the temperature, and pH labels of the crops. The data is collected with the help of IoT sensors and collected data is sent to the cloud service to check whether the pH label is stable or not and whether the temperature is ideal for crop cultivation. The maintenance cost is reduced by using IOT sensors as it makes it easier to monitor the crop condition and take necessary steps when required.
{"title":"Hydroponics Soilless Smart Farming in Improving Productivity of Crop Using Intelligent Smart Systems","authors":"Vagisha, E. Rajesh, Shajahan Basheer, K. Baskar","doi":"10.1109/ICIPTM57143.2023.10117747","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117747","url":null,"abstract":"With growing population there is a great demand for land to make accommodations which in turn decreases the availability of agricultural land. The unavailability of agricultural land may lead to a shortage of food in the future. The food shortage problem can be resolved using the Soilless Smart Farming technique. Soilless Smart Farming basically means growing crops like grain, vegetables, fruits, and seeds without soil. Soilless Smart Farming can also be termed Hydroponics; here word Hydro refers to water and Ponics indicates the flow of solution to plants without soil. The advantages of using Soilless Farming are higher crop yield, less water required, low risk of parasites attack, and continuous growth throughout the year. It becomes possible to grow a variety of crops in a small area as compared with the traditional way of farming where soil plays a measure role in cultivation. In Soilless Smart Farming IoT sensors can be used for measuring the temperature, and pH labels of the crops. The data is collected with the help of IoT sensors and collected data is sent to the cloud service to check whether the pH label is stable or not and whether the temperature is ideal for crop cultivation. The maintenance cost is reduced by using IOT sensors as it makes it easier to monitor the crop condition and take necessary steps when required.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"28 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":"122471912","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/ICIPTM57143.2023.10118288
Jenifer. A, K. Lakshmikhandan, P. Ponmurugan, V.V. Srimannarayana, C. S. S. Ganesh, Devaraju Kalyan, T. Sathish
The creation of a DC microgrid employing a hybrid wind-solar power system for LED street lights and a sporadic power system is the subject of this study. All of them are free and plentiful. The usage of wind-solar hybrid power systems and LED lighting helps reduce electricity costs while increasing energy efficiency. The system's goal is to utilize wind, solar, DC storage (battery), LED lighting, and a controller with maximum power point tracking [MPPT] for solar power, a PID controller for operational charging/dispatch for wind power, and LED dimming control for energy conservation to monitor the system's performance and maintenance. By utilising a timer, all of the LED bulbs will automatically light up between the hours of 6:00 PM and 6:00 AM, using up to 90% less energy than incandescent lamps. Utilizing a timer and dimming controls, 50% of light can be achieved from 10 PM to 6 AM. The suggested technology continuously overcharges the battery to safeguard it from over- or under-voltage while also focusing on energy conservation. Using MATLAB simulation, the proposed system was examined with regard to the battery voltage and the hybrid input power's operational state. By simulating using MatLAB/Simulink, the hybrid system is identified.
{"title":"Wind and Solar Hybrid Power Generation for DC grid","authors":"Jenifer. A, K. Lakshmikhandan, P. Ponmurugan, V.V. Srimannarayana, C. S. S. Ganesh, Devaraju Kalyan, T. Sathish","doi":"10.1109/ICIPTM57143.2023.10118288","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118288","url":null,"abstract":"The creation of a DC microgrid employing a hybrid wind-solar power system for LED street lights and a sporadic power system is the subject of this study. All of them are free and plentiful. The usage of wind-solar hybrid power systems and LED lighting helps reduce electricity costs while increasing energy efficiency. The system's goal is to utilize wind, solar, DC storage (battery), LED lighting, and a controller with maximum power point tracking [MPPT] for solar power, a PID controller for operational charging/dispatch for wind power, and LED dimming control for energy conservation to monitor the system's performance and maintenance. By utilising a timer, all of the LED bulbs will automatically light up between the hours of 6:00 PM and 6:00 AM, using up to 90% less energy than incandescent lamps. Utilizing a timer and dimming controls, 50% of light can be achieved from 10 PM to 6 AM. The suggested technology continuously overcharges the battery to safeguard it from over- or under-voltage while also focusing on energy conservation. Using MATLAB simulation, the proposed system was examined with regard to the battery voltage and the hybrid input power's operational state. By simulating using MatLAB/Simulink, the hybrid system is identified.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"37 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":"131536817","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}
Artificial intelligence is rapidly changing the way restaurants operate. AI can help restaurants increase productivity, streamline processes, and boost customer satisfaction. AI can assist restaurants in creating menus that are suited to their customer's interests and preferences by evaluating data on consumer preferences and purchase history. Moreover, chatbots and virtual assistants powered by AI can be used to collect purchases, respond to consumer inquiries, and make tailored recommendations. As a result, consumers can enjoy a more smooth and delightful dining experience while also saving time and money on labour. Predictive analytics, which may forecast demand for specific items, is another method AI is utilised in restaurants. The intent of this study is to examine the application of Artificial Intelligence in restaurant industry and review the opinion of people on the introduction of Humanoid Robots in restaurants. AI is a game-changer in the industry, fully transforming the way the industry operates, hence giving a futuristic spin to dining. This research is based on reviews of people about content related to humanoid robots through YouTube videos. Data mining techniques were applied, and Thematic Content Analysis was done to analyze the attitude of people towards human-robot interaction.
{"title":"Artificial Intelligence Revolutionizing The Restaurant Industry - Analyzing Customer Experience Through Data Mining and Thematic Content Analysis","authors":"Navleen Kaur, Navita Mahajan, Vibha Singh, Astha Gupta","doi":"10.1109/ICIPTM57143.2023.10117897","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117897","url":null,"abstract":"Artificial intelligence is rapidly changing the way restaurants operate. AI can help restaurants increase productivity, streamline processes, and boost customer satisfaction. AI can assist restaurants in creating menus that are suited to their customer's interests and preferences by evaluating data on consumer preferences and purchase history. Moreover, chatbots and virtual assistants powered by AI can be used to collect purchases, respond to consumer inquiries, and make tailored recommendations. As a result, consumers can enjoy a more smooth and delightful dining experience while also saving time and money on labour. Predictive analytics, which may forecast demand for specific items, is another method AI is utilised in restaurants. The intent of this study is to examine the application of Artificial Intelligence in restaurant industry and review the opinion of people on the introduction of Humanoid Robots in restaurants. AI is a game-changer in the industry, fully transforming the way the industry operates, hence giving a futuristic spin to dining. This research is based on reviews of people about content related to humanoid robots through YouTube videos. Data mining techniques were applied, and Thematic Content Analysis was done to analyze the attitude of people towards human-robot interaction.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"2 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":"133988192","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/ICIPTM57143.2023.10118262
Akshat Singh, Virrat Devaser
For the purpose of increasing their profits, investors are taking advantage of the buy and sell advice offered by brokers and experts. When brokers or software try to forecast the share price, mistakes are typically made in the projection. The worth of stocks on the market may be determined by a variety of approaches, which are together referred to as valuation techniques. Therefore, if you want to make an investment, it is quite important to locate the valuation methods that provide the most accurate predictions of share prices. Although there are a lot of difficult financial indications and the fluctuations of the stock market are quite violent, the chance to generate a consistent fortune from the stock market is increasing as technology advances, and it also helps financial professionals make more accurate predictions. The stock market is notorious for its volatility, dynamism, and non-linearity. Accurate stock price forecasting is extremely difficult due to a variety of factors including politics, the current state of the global economy, unexpected events, and the financial performance of a company, amongst others. However, this does imply that there is a significant quantity of data to sift through in order to uncover patterns. The newest, most cutting-edge, most technologically advanced exchange in the world is the National Stock Exchange. This paper provides a concise summary of several recent studies carried out in the subject of stock market prediction. It will assist us in determining how to go about developing a model that would enable investors to make greater returns on their investments. This article will also play an essential part in determining the optimal model to adopt in future research, which will play a role that will have a significant impact.
{"title":"Analysis For Stock Market Investment Decision Using ML Models","authors":"Akshat Singh, Virrat Devaser","doi":"10.1109/ICIPTM57143.2023.10118262","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118262","url":null,"abstract":"For the purpose of increasing their profits, investors are taking advantage of the buy and sell advice offered by brokers and experts. When brokers or software try to forecast the share price, mistakes are typically made in the projection. The worth of stocks on the market may be determined by a variety of approaches, which are together referred to as valuation techniques. Therefore, if you want to make an investment, it is quite important to locate the valuation methods that provide the most accurate predictions of share prices. Although there are a lot of difficult financial indications and the fluctuations of the stock market are quite violent, the chance to generate a consistent fortune from the stock market is increasing as technology advances, and it also helps financial professionals make more accurate predictions. The stock market is notorious for its volatility, dynamism, and non-linearity. Accurate stock price forecasting is extremely difficult due to a variety of factors including politics, the current state of the global economy, unexpected events, and the financial performance of a company, amongst others. However, this does imply that there is a significant quantity of data to sift through in order to uncover patterns. The newest, most cutting-edge, most technologically advanced exchange in the world is the National Stock Exchange. This paper provides a concise summary of several recent studies carried out in the subject of stock market prediction. It will assist us in determining how to go about developing a model that would enable investors to make greater returns on their investments. This article will also play an essential part in determining the optimal model to adopt in future research, which will play a role that will have a significant impact.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"23 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":"134174710","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/ICIPTM57143.2023.10117970
Srivathsan K, B. S, K. R., Vishnu Prasad V, Malini A
The term ‘Fashion technology’ is used to refer to innovative methods of creating new designs for clothes and also sourcing them. It facilitates the formation of new tools for the fashion industry which increases the manufacturing and utilization the fashion products. In this era of fashion, manufacturing processes, shipping and the selling of fashion products make use of the fashion design technologies available to the fullest. As of now, the growth rate of fashion industry is very high. The fashion space is being automated, personalized and sped up by a list of inventions which include the clothes that can be worn with the help of virtual reality, algorithms in AI which can predict the trends that follow, and Robots which cut fabric. Advanced technologies like blockchain and virtual reality are adapted by many fashion brands and companies to create a unique purchasing experience for the customer. Fashion technology cannot escape the fact that innovations help industries to evolve and adapt to the existing environment faster and that it is no exception. A lot of effort has been made to customize the clothes of users in order to help them wear those matching their exact body dimensions. This paper aims to customize purchasing the clothes by using 3D body scanners to get the exact measurements so that the user can wear readymade clothes according to his exact body dimensions.
{"title":"Customization of User Experience in Fashion Technology","authors":"Srivathsan K, B. S, K. R., Vishnu Prasad V, Malini A","doi":"10.1109/ICIPTM57143.2023.10117970","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117970","url":null,"abstract":"The term ‘Fashion technology’ is used to refer to innovative methods of creating new designs for clothes and also sourcing them. It facilitates the formation of new tools for the fashion industry which increases the manufacturing and utilization the fashion products. In this era of fashion, manufacturing processes, shipping and the selling of fashion products make use of the fashion design technologies available to the fullest. As of now, the growth rate of fashion industry is very high. The fashion space is being automated, personalized and sped up by a list of inventions which include the clothes that can be worn with the help of virtual reality, algorithms in AI which can predict the trends that follow, and Robots which cut fabric. Advanced technologies like blockchain and virtual reality are adapted by many fashion brands and companies to create a unique purchasing experience for the customer. Fashion technology cannot escape the fact that innovations help industries to evolve and adapt to the existing environment faster and that it is no exception. A lot of effort has been made to customize the clothes of users in order to help them wear those matching their exact body dimensions. This paper aims to customize purchasing the clothes by using 3D body scanners to get the exact measurements so that the user can wear readymade clothes according to his exact body dimensions.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"44 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":"134359262","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}
Around 400 million people worldwide use English as their first language, resulting it as the most extensively spoken language across the globe. Many government offices and other businesses use offline forms, the majority of which must be filled out in English. Manually digitalizing those forms is an impossible, time-consuming, and error-prone task, so extracting text from them may solve the problem. In many organizations, they have forms that have text boxes to fill out the information. So extracting text from these forms is a crucial solution. The proposed solution comprises image recognition, so the neural network is a far more convincing approach. A deep learning model, i.e., convolutional neural networks, is used to classify the characters. The handwritten alphabets and numbers are collected from Kaggle and Mnist datasets. Using those datasets, two CNN models were trained. Image processing techniques were used, which helped in the preprocessing of the image. Finding the image's coordinates and performing a perspective transform results in the removal of undesirable areas of the input image. Horizontal and vertical lines were detected, which resulted in the finding of the rectangular boxes in the form where the data is contained. According to the type of the detected box, each character in the box is sent to the respective model, which results in identifying the character and helping to find the content in that particular field. All detected content is automatically saved in an Excel sheet. The proposed system achieves an accuracy of 85%.
{"title":"Handwritten Text Extraction from Application Forms using Image Processing and Deep Learning","authors":"Greeshmanth Penugonda, G. Anuradha, Jasti Lokesh Chowdary, Cheekurthi Abhinav, Kandimalla Naga Dinesh","doi":"10.1109/ICIPTM57143.2023.10117678","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117678","url":null,"abstract":"Around 400 million people worldwide use English as their first language, resulting it as the most extensively spoken language across the globe. Many government offices and other businesses use offline forms, the majority of which must be filled out in English. Manually digitalizing those forms is an impossible, time-consuming, and error-prone task, so extracting text from them may solve the problem. In many organizations, they have forms that have text boxes to fill out the information. So extracting text from these forms is a crucial solution. The proposed solution comprises image recognition, so the neural network is a far more convincing approach. A deep learning model, i.e., convolutional neural networks, is used to classify the characters. The handwritten alphabets and numbers are collected from Kaggle and Mnist datasets. Using those datasets, two CNN models were trained. Image processing techniques were used, which helped in the preprocessing of the image. Finding the image's coordinates and performing a perspective transform results in the removal of undesirable areas of the input image. Horizontal and vertical lines were detected, which resulted in the finding of the rectangular boxes in the form where the data is contained. According to the type of the detected box, each character in the box is sent to the respective model, which results in identifying the character and helping to find the content in that particular field. All detected content is automatically saved in an Excel sheet. The proposed system achieves an accuracy of 85%.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"44 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":"134253229","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/ICIPTM57143.2023.10118194
V. V. Chellam, S. Praveenkumar, Suryansh Talukdar, Veera Talukdar, Sanjiv Kumar Jain, Ankur Gupta
Although blockchain technology was first created to manage financial ledgers, it has lately found use in a wide range of industries, including healthcare. Research innovation in this area will be boosted by the sharing of healthcare data. Nevertheless, patients who disclose their medical records face several privacy and security concerns. Here, the authors propose a blockchain-dependent system architectural design to demonstrate the prospect of blockchain technology in supporting (i) personal and examined medical data exchange and (ii) medical data access authorization processing.
{"title":"Development of a Blockchain-based Platform to Simplify the Sharing of Patient Data","authors":"V. V. Chellam, S. Praveenkumar, Suryansh Talukdar, Veera Talukdar, Sanjiv Kumar Jain, Ankur Gupta","doi":"10.1109/ICIPTM57143.2023.10118194","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118194","url":null,"abstract":"Although blockchain technology was first created to manage financial ledgers, it has lately found use in a wide range of industries, including healthcare. Research innovation in this area will be boosted by the sharing of healthcare data. Nevertheless, patients who disclose their medical records face several privacy and security concerns. Here, the authors propose a blockchain-dependent system architectural design to demonstrate the prospect of blockchain technology in supporting (i) personal and examined medical data exchange and (ii) medical data access authorization processing.","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":"114479787","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/ICIPTM57143.2023.10118054
Arman Raj, Vandana Sharma, S. Rani, Tanya Singh, Ankit Kumar Shanu, A. Alkhayyat
The word Metaverse has influenced many sectors such as healthcare, education, retail and manufacturing and few more industries are there which will be impacted by 2026 as per the research conducted by Gartner. The word “Metaverse” especially in education sector came into existence after the COVID-19 epidemic when the humanity were forced to think about the new methodology of educating and teaching. This ecosphere is the combination of technologies which enables multimodal interactions with artificial environment, electronic library and people such as Virtual Reality (VR) and Augmented Reality (AR). It is believed that metaverse will improve collaboration, training process will be enhanced and most importantly it will create a happier workplace. This is only the reason that many corporate giants like Nvidia, facebook, apple, epic Games and companies has shifted towards this pedagogical ecosystem. This technology has the potential which enables absolute incorporating user conversation in actual-time and compelling interactivity with digital artifact. In this paper, we are addressing metaverse in education along with a detailed framework of metaverse in education. It includes a comparative study of conventional education, online education and metaverse education based on parameters like place of learning, resources used, teaching methodology, learning experience, learning target and learning assessment. Competency based education, energize student and positive attitude towards learning. The various challenges of the metaverse in educational sector are also debated. This paper will help the researcher's fraternity to get a deeper insight along with a clear perception of this ecosystem in education.
{"title":"Demystifying and Analysing Metaverse Towards Education 4.0","authors":"Arman Raj, Vandana Sharma, S. Rani, Tanya Singh, Ankit Kumar Shanu, A. Alkhayyat","doi":"10.1109/ICIPTM57143.2023.10118054","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118054","url":null,"abstract":"The word Metaverse has influenced many sectors such as healthcare, education, retail and manufacturing and few more industries are there which will be impacted by 2026 as per the research conducted by Gartner. The word “Metaverse” especially in education sector came into existence after the COVID-19 epidemic when the humanity were forced to think about the new methodology of educating and teaching. This ecosphere is the combination of technologies which enables multimodal interactions with artificial environment, electronic library and people such as Virtual Reality (VR) and Augmented Reality (AR). It is believed that metaverse will improve collaboration, training process will be enhanced and most importantly it will create a happier workplace. This is only the reason that many corporate giants like Nvidia, facebook, apple, epic Games and companies has shifted towards this pedagogical ecosystem. This technology has the potential which enables absolute incorporating user conversation in actual-time and compelling interactivity with digital artifact. In this paper, we are addressing metaverse in education along with a detailed framework of metaverse in education. It includes a comparative study of conventional education, online education and metaverse education based on parameters like place of learning, resources used, teaching methodology, learning experience, learning target and learning assessment. Competency based education, energize student and positive attitude towards learning. The various challenges of the metaverse in educational sector are also debated. This paper will help the researcher's fraternity to get a deeper insight along with a clear perception of this ecosystem in education.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"118 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":"123091880","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/ICIPTM57143.2023.10118005
R. Chowdary, C. Priyadarsini, V. J. Reddy, P. Devi, A. Chandrakanth, T. N. Aditya
This paper proposes an EH-WSN multi-hop (MH) cluster routing protocol (Energy-balanced MH cluster routing, EBMCR) to obtain solar energy, to achieve network energy balance during intra-cluster transmission and inter-cluster transmission. The main contributions of this paper are as the protocol balances the energy consumption (EC) of cluster head (C-H)nodes in different units by dividing the network area, calculates the number of nodes in each unit according to mathematical derivation, and minimizes the total EC of Tdata, improve the HEED C-H selection method, select the node with high energy distribution and neighbor distribution weight in the unit as the C-H, and effectively balance the EC of the nodes in the cluster, based on the PSO algorithm, the inter-cluster routing strategy is designed to improve the energy efficiency of Tdata, ensure the energy balance of nodes on the transmission path, and avoid nodes with lower energy being selected as routing nodes.
{"title":"Solar Powered Sensors for Efficient Routing without Power Constraints","authors":"R. Chowdary, C. Priyadarsini, V. J. Reddy, P. Devi, A. Chandrakanth, T. N. Aditya","doi":"10.1109/ICIPTM57143.2023.10118005","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118005","url":null,"abstract":"This paper proposes an EH-WSN multi-hop (MH) cluster routing protocol (Energy-balanced MH cluster routing, EBMCR) to obtain solar energy, to achieve network energy balance during intra-cluster transmission and inter-cluster transmission. The main contributions of this paper are as the protocol balances the energy consumption (EC) of cluster head (C-H)nodes in different units by dividing the network area, calculates the number of nodes in each unit according to mathematical derivation, and minimizes the total EC of Tdata, improve the HEED C-H selection method, select the node with high energy distribution and neighbor distribution weight in the unit as the C-H, and effectively balance the EC of the nodes in the cluster, based on the PSO algorithm, the inter-cluster routing strategy is designed to improve the energy efficiency of Tdata, ensure the energy balance of nodes on the transmission path, and avoid nodes with lower energy being selected as routing nodes.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"49 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":"121557367","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/ICIPTM57143.2023.10117946
A. K. Agarwal, Meenakshi Kaul, Saurabh Chandra, Shailender Singh, Adit Gupta
This study looks at the link between organizational justice as seen by employees, job conscientiousness, and social responsibility in the context of private bank employees. The study's cross-sectional design method looked at workers with less than one year of experience. Participants answered standardized questionnaires to assess their views on social responsibility, job conscientiousness, and organizational justice. Regression analysis is done on the data. Social responsibility, work ethics, and organizational fairness. According to our findings, substantial link between organizational justice and social responsibility and job conscientiousness. These results led the study's authors to advise bank managers to modify their management procedures in order to lessen emotions of authoritarianism and to take proactive measures to improve employee productivity in the long term.
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