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

Hydroponics Soilless Smart Farming in Improving Productivity of Crop Using Intelligent Smart Systems 利用智能系统提高作物生产力的水培无土智能农业

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10117747

Vagisha, E. Rajesh, Shajahan Basheer, K. Baskar

{"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}

引用次数: 1

Wind and Solar Hybrid Power Generation for DC grid 用于直流电网的风能和太阳能混合发电

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10118288

Jenifer. A, K. Lakshmikhandan, P. Ponmurugan, V.V. Srimannarayana, C. S. S. Ganesh, Devaraju Kalyan, T. Sathish

{"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}

引用次数: 0

Artificial Intelligence Revolutionizing The Restaurant Industry - Analyzing Customer Experience Through Data Mining and Thematic Content Analysis 人工智能革新餐饮行业——通过数据挖掘和主题内容分析分析客户体验

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10117897

Navleen Kaur, Navita Mahajan, Vibha Singh, Astha Gupta

{"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}

引用次数: 0

Analysis For Stock Market Investment Decision Using ML Models 基于ML模型的股票市场投资决策分析

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10118262

Akshat Singh, Virrat Devaser

{"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}

引用次数: 0

Customization of User Experience in Fashion Technology 时尚科技中的用户体验定制

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10117970

Srivathsan K, B. S, K. R., Vishnu Prasad V, Malini A

{"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}

引用次数: 0

Handwritten Text Extraction from Application Forms using Image Processing and Deep Learning 使用图像处理和深度学习从申请表中提取手写文本

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10117678

Greeshmanth Penugonda, G. Anuradha, Jasti Lokesh Chowdary, Cheekurthi Abhinav, Kandimalla Naga Dinesh

{"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}

引用次数: 0

Demystifying and Analysing Metaverse Towards Education 4.0 面向教育4.0的虚拟世界揭秘与分析

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10118054

Arman Raj, Vandana Sharma, S. Rani, Tanya Singh, Ankit Kumar Shanu, A. Alkhayyat

{"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}

引用次数: 0

Applications of Genetic Algorithm with Integrated Machine Learning 遗传算法与集成机器学习的应用

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10118328

Arman Raj, Avneesh Kumar, Vandana Sharma, S. Rani, Ankit Kumar Shanu, Tanya Singh

{"title":"Applications of Genetic Algorithm with Integrated Machine Learning","authors":"Arman Raj, Avneesh Kumar, Vandana Sharma, S. Rani, Ankit Kumar Shanu, Tanya Singh","doi":"10.1109/ICIPTM57143.2023.10118328","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118328","url":null,"abstract":"The Meta heuristic algorithms are the higher level technique which helps to find the best feasible solution out of all possible solution of an optimization problem. There are various different types of meta heuristic algorithms like Ant Colony Optimization (ACO), Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, etc. Genetic Algorithm is a search-based optimization technique based on the biological principle of Genetics and adaptation. It is a meta-heuristic approach which is used to solve complex combinatorial problem. The integration of Genetic algorithm with machine learning will be helpful in solving unconstrained and constrained optimization problem. The various genetic operator like selection operator, mutation and cross-over are discussed which will be helpful in knowing how these operators significantly improves State Space search. In this paper the various applications of Genetic algorithms which can be used in machine learning has been discussed. In this paper the author discussed how the significance of Genetic algorithm will be improved while solving complex optimization problem in machine learning. In this paper, flow diagram of Genetic Algorithms has been discussed which will ease the understanding of complex optimization problem like 0–1 Knapsack, Traveling Salesman Problem, etc. In this paper a comparative analysis between traditional algorithm and genetic algorithm has been done on the basis of parameters like flow of control, state space search, Complication, Preconditions, CPU utilization etc. The various limitations of Genetic Algorithms in solving problems with optimal solutions has also been discussed.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"24 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":"125618832","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}

引用次数: 0

Automation of Grievance Registration using Transfer Learning 利用迁移学习实现投诉登记的自动化

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10118181

G. Sidharth, Abijeeth Vasra, S. Sridevi, C. Deisy, M. K. A. A. Khan

{"title":"Automation of Grievance Registration using Transfer Learning","authors":"G. Sidharth, Abijeeth Vasra, S. Sridevi, C. Deisy, M. K. A. A. Khan","doi":"10.1109/ICIPTM57143.2023.10118181","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118181","url":null,"abstract":"Grievance redressal is an indispensable service but involves a lot of issues, which can be resolved if a proper automated application is introduced which involves grievance classification and location fetching mechanism. To arrive at the solution, machine learning techniques can be used, but another major facet of this application is that it should be compatible and transportable. Hence the solution needs to be in the form of a mobile application. The machine learning model must be incorporated into the mobile application. Since mobile phones have minimal computational power to run a model, an architecture which uses minimal resources must be used. MobileNet V2 is an architecture which is specially designed to incorporate Deep learning (DL) algorithm especially Image classification. MobileNet uses minimal computational resources, and interoperability is achieved through Google's Teachable machine learning, which provides a tft lite (TensorFlow Lite) model for our trained dataset and the model can be imported in to the project's asset. Location manager of android's architecture can be used to fetch the user's current latitude and longitude, which can be used by grievance redressal organization to navigate. On achieving this solution, a lot of tedious processes in our existing grievance management system can be automated. Both the public and the government can be benefited and as a result, a lot of data will be in hand which is of prominent importance now a days.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"455 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":"124315894","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}

引用次数: 0

Power Saving and Optimization of OLED Displays for Better System Design: A Survey 为更好的系统设计节能和优化OLED显示器:综述

2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2023-02-22 DOI: 10.1109/ICIPTM57143.2023.10117875

Abhijith Prabha

引用次数: 0