2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)最新文献

Flood Management System Using Cloud Computing and Internet-of-Things 基于云计算和物联网的洪水管理系统

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146661

H. Goyal, Sachin Sharma

{"title":"Flood Management System Using Cloud Computing and Internet-of-Things","authors":"H. Goyal, Sachin Sharma","doi":"10.1109/ICNTE56631.2023.10146661","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146661","url":null,"abstract":"The human-based disaster management programme has recently been a source of administrative and ethical concern. Sometimes it can be more harmful than beneficial. In order to take into account the newly developed Internet of Things organization, which is sufficiently evolved to create a network automatically connecting each other and forecasting every function and feature of the flood, there must be less interaction between humans and all such inventions. In this project, a wastewater disposal system is created and put into service to compensate for the losses brought on by urban flooding in metropolitan areas. For the criticality of the wastewater deposit network, the platform consists of real-time cloud computing and Internet-of-Things (IoT) control. In order to meet the demand for incorporating waste water drainage systems in any urban area in order to avoid and stop floods, we designed this architecture, technology, mathematical model, and application. This constructed framework is illustrated through the case study of the Mumbai floods of 2005. If we use this approach, we can prevent more than 40% of the harm and live.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124850796","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: 2

Performance Characteristics Analysis for Solar PV Module 太阳能光伏组件性能特性分析

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146700

Seema Jadhav, Ruchi Harchandani

引用次数: 0

A Novel Bidirectional Modified SEPIC Converter with Wide Voltage Conversion Ratio 一种新型宽电压转换比双向改进型SEPIC变换器

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146642

Sunil Mandal, Prajof Prabhakaran

引用次数: 0

Innovative Technology in Creating Liquid Hologram with Holofans 用全息透镜制造液体全息图的创新技术

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146624

Dirk Hertford, S. Bevinakoppa, R. Devi, Rahul Dawer, Ammara Javaid, Jyoti Kaushik, Kajal

引用次数: 0

Educational chatbot on Data Structures and Algorithms for the visually impaired 视障人士的数据结构和算法教育聊天机器人

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146702

Vidhish Panchal, Lakshmi Kurup

{"title":"Educational chatbot on Data Structures and Algorithms for the visually impaired","authors":"Vidhish Panchal, Lakshmi Kurup","doi":"10.1109/ICNTE56631.2023.10146702","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146702","url":null,"abstract":"Visually impaired people find it difficult to study from educational websites, even though they have a lot of knowledge to provide. They are unable to feel confident about using online tools to learn because of their lack of independence. This becomes a problem for almost every student when they have to search through different websites for answers to their doubts. A chatbot is a conversational AI technology that simulates human interaction. It is more comfortable for users to interact with a chatbot if it is voice-enabled. Our proposed solution is a chatbot that is voice-enabled as well as multilingual. It can interact with more than 180 global languages, although, in this paper, we have focused on the Hindi language. It can help visually impaired people as well as normal students, as they can learn by just having a conversation with the voice bot. Our voice bot can teach students many concepts regarding data structures and algorithms. It gives the user a speech-based response received from a generated .mp3 file. For the voice-bot system, which has been trained with more than 70 intents, we have utilized the RASA NLU principle. It has been deployed onto our e-learning web application. The chatbot is compatible with all the languages mentioned in the python translate module. This chatbot recognizes and converts the speech received from the microphone into text and matches with the trained intents information, and accordingly gives the most appropriate answer and converts text-to-speech and presents the text and speaks in the language selected along with multi-intent classifications. We have made a custom pipeline and also applied various policies to it to improve pipeline performance. Nearly all of the queries are correctly answered by the voice bot, which makes communication more effective.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998582","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

Animal Healthcare and Farm Animal Disease Prediction Using Machine Learning 使用机器学习的动物保健和农场动物疾病预测

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146635

Augustin Nadar, Adishree Sane, Glenn Muga, Easther Masih, Smita Rukhande

{"title":"Animal Healthcare and Farm Animal Disease Prediction Using Machine Learning","authors":"Augustin Nadar, Adishree Sane, Glenn Muga, Easther Masih, Smita Rukhande","doi":"10.1109/ICNTE56631.2023.10146635","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146635","url":null,"abstract":"Veterinary care is an extremely important part of animal care. The focus of the Veterinary doctor or practitioner is to supervise the overall health and clinical care of the animals. A veterinary doctor is responsible for observing and promoting the well-being of the animal at all phases of the animal's life span. In the inaccessible remote locations of India, access to Veterinary services is difficult. Farmers or livestock owners have to travel long distances from their villages when they require treatment for their animals. This has adversely affected eutherian mammal farming in rural regions that square measure usually set in remote locations. A website to connect Veterinarians with Livestock owners can turn out to be a valuable solution. Farm Animals represent a valuable quality of nutritional products such as dairy products they also are a great resource of the economy for the owners. The production of dairy and other nutritional products is being challenged due to the toxic use of pests and malady infestation resulting in poor productivity. Death of the animals can also be expected in such cases, massive economic losses to livestock owners and the nation. Such issues must be addressed timely before the situation gets out of hand, this is only possible by making Veterinary services available to every part of the nation, be it via online mode or by providing Veterinary practitioners to rural areas. Livestock production in the farm sector acts as an important source of nutrition to India, it provides economic support to many farmers and contributes to the economy of India.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128200621","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

Sign Language Translator for Speech Impaired People 语言障碍人士手语翻译

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146708

Vijay R. Mane, Tejas Adsare, Tejas Dharmik, Neeraj Agrawal, Dijasmit Patil, Prajwal Atram

{"title":"Sign Language Translator for Speech Impaired People","authors":"Vijay R. Mane, Tejas Adsare, Tejas Dharmik, Neeraj Agrawal, Dijasmit Patil, Prajwal Atram","doi":"10.1109/ICNTE56631.2023.10146708","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146708","url":null,"abstract":"Sign language is a way of transfer feelings and our thoughts non-verbally. People who are hearing impaired, dumb or speechless use sign language as their primary means of communication. For communication these people apply gestures which are based on hand signals to share their ideas. Sadly, the overwhelming most of the individuals aren't awake to the linguistics of those gestures. In a try to overcome these gaps, we offer real time Sign Language identification system which is based on the American Sign Language (ASL) Dataset. The system we proposed uses the CNN (Convolutional Neural Network) algorithm to recognize and interpret static hand signals of letters relating to American Sign Language into written output. An Android based application is produced for this system and further it can convert the text into Speech. The text on the screen is translated into voice using a text-to-speech feature. Text-to-speech is frequently employed as an accessibility tool to aid individuals who struggle to read text on screens, but it is also practical for those who want to be read to. This feature has proven to be quite popular and helpful for users.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130253236","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

ICNTE 2023 Cover Page ICNTE 2023封面

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/icnte56631.2023.10146632

引用次数: 0

Support Vector Machine, Naïve Baye’s, and Recurrent Neural Network to Detect Data Poisoning Attacks on Dataset 支持向量机，Naïve贝叶斯和递归神经网络检测数据集中毒攻击

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146665

Ravina Vasant Bhadle, D. Rathod

{"title":"Support Vector Machine, Naïve Baye’s, and Recurrent Neural Network to Detect Data Poisoning Attacks on Dataset","authors":"Ravina Vasant Bhadle, D. Rathod","doi":"10.1109/ICNTE56631.2023.10146665","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146665","url":null,"abstract":"Machine learning is a subset of artificial intelligence, that has revolutionalized the world in recent days. The machine learning model will be trained and tested on the collection of huge data, a large portion is for training and others for testing. data has been collected from trusted or untrusted sources, and results will be predicted using different algorithms. People are getting used to these predictions, are these predictions secure, trustful, or guaranteed? Well, that will be decided by the quality of the datasets. Although the datasets can be poisoned easily. Here the proposed work is providing a solution to check the quality of the dataset used for machine learning algorithms. The basis of the research is to detect poisoning attacks in the data set and to determine the most accurate estimate of the detection of poisoning attacks. comparing accuracies of the supervised machine learning algorithms Support Vector Machine(SVM), Naive Baye’s Classifier (NBC), and deep learning algorithms Recurrent Neural Network(RNN).The evaluation report was submitted for the results obtained using the rating report. The classification report considers performance measures the Precision, Accuracy, and F1 score of each algorithm.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131867114","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

Performance Analysis of Machine Learning and Deep Learning Techniques for Answer Type extraction of Marathi Questions 马拉地语问题答案类型提取的机器学习和深度学习技术性能分析

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146625

Dhiraj Amin, S. Govilkar, Sagar Kulkarni

{"title":"Performance Analysis of Machine Learning and Deep Learning Techniques for Answer Type extraction of Marathi Questions","authors":"Dhiraj Amin, S. Govilkar, Sagar Kulkarni","doi":"10.1109/ICNTE56631.2023.10146625","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146625","url":null,"abstract":"Question answering systems involve extraction of correct answers for natural language questions provided as input. Question classification is an important part of the question processing phase where natural language questions are categorized into predefined classes which specifies expected type of answer for the question. Extraction of answer type can be performed using machine learning and deep learning classification techniques which helps to reduce the list of possible correct answers for a question. In this paper we have compared various classification techniques which can be used for building a Marathi question classification system. Additionally, we have created a Marathi question classification dataset by translating existing TREC dataset available in English language. We observed that fine tuning the RoBERTa based monolingual language model for question classification was the best classification technique with accuracy of 91% in the coarse grained category of question classification and accuracy of 85% in the fine grained category of question classification.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124204301","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