2023 4th International Conference for Emerging Technology (INCET)最新文献_第8页

Chatbot for Mental health support using NLP 使用自然语言处理的心理健康支持聊天机器人

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170573

Vanshika Gupta, Varun Joshi, Akshat Jain, Inakshi Garg

{"title":"Chatbot for Mental health support using NLP","authors":"Vanshika Gupta, Varun Joshi, Akshat Jain, Inakshi Garg","doi":"10.1109/INCET57972.2023.10170573","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170573","url":null,"abstract":"Mental health issues are a growing concern worldwide, and seeking support for these issues can be difficult due to various reasons. Chatbots have emerged as a promising solution to provide accessible and confidential support to individuals facing mental health issues. With recent advances in technology, digital interventions designed to supplement or replace in-person mental health services have proliferated, including the emergence of mental health chatbots that claim to provide assistance through automated natural language processing (NLP) therapeutic approaches. A chatbot can be described as a computer program capable of providing intelligent answers to user input by understanding natural language using one or more NLP techniques. In this study, we discuss the use of NLP in psychotherapy and compare the responses provided by chatbots to a set of predefined user inputs related to well-being and mental health queries and compare existing systems. A general analysis was performed. The general approach to building such chatbots includes basic NLP techniques such as word embedding, sentiment analysis, sequence-by-sequence models, and attention mechanisms. We also looked at Mental Ease, a mobile app that uses NLP technology not only to provide conversational assistance but also to tool up useful features for maintaining mental health. Incorporating mental health assessment tools into the chatbot interface, it can help patients cope with mild anxiety and depression alongside conventional therapy. It can also overcome some barriers to mental health, such as waiting lists and geographical barriers to face-to-face consultations.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131108307","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

A Comparative Analysis of Image Captioning Techniques 图像字幕技术的比较分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170043

Diya Theresa Sunil, Seema Safar, Abhijit Das, Amijith M M, Devika M Joshy

引用次数: 0

Smart Intelligent System that can Code Like a Human Being 能像人类一样编码的智能系统

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10169940

Jaiwin Shah, Rishabh Jain, Vedant Jolly, D. Kalbande

{"title":"Smart Intelligent System that can Code Like a Human Being","authors":"Jaiwin Shah, Rishabh Jain, Vedant Jolly, D. Kalbande","doi":"10.1109/INCET57972.2023.10169940","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10169940","url":null,"abstract":"According to recent studies, a large number of data scientists spend most of their time on tasks like data cleaning and organizing data. They need to memorize big complex syntaxes for all the major tasks in the data science life cycle. Often these tasks are redundant. Therefore, we propose to build an intelligent system that enables data scientists to perform all the tedious and time-consuming tasks such as EDA, data cleansing, data preprocessing, data visualization, modeling, and data science lifecycle evaluation. Just state the logic of your query in natural language the system will automatically output all relevant Python code snippets. Existing applications involving the text-to-code generation and code search are limited and a lot of them do not work in non-ideal conditions. The reason behind it is the data set on which the existing models have been built. These datasets do not consider real-world factors such as slang, acronyms, and paraphrases. Therefore, a new dataset was created consisting of real-world user queries, representing the scenarios a user is most likely to face daily. We plan to build a logic-oriented system that only needs to convey the logic correctly in text in natural language. It saves a lot of time, allowing data scientists to spend most of their time building logic instead of focusing on code.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128064628","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

Language Agnostic Program Conformance Analysis 与语言无关的程序一致性分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170698

M. Reddy, Swaroop Bhat, Nandana Chandrashekar, Sethupathy Venkatraman, P. Kanwal

{"title":"Language Agnostic Program Conformance Analysis","authors":"M. Reddy, Swaroop Bhat, Nandana Chandrashekar, Sethupathy Venkatraman, P. Kanwal","doi":"10.1109/INCET57972.2023.10170698","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170698","url":null,"abstract":"Conformance analysis is a crucial part of software development that is used for the verification of software systems. Most of the prominent techniques for testing are based on dynamic analysis. Although dynamic analysis handles run-time integration, it does not address the quality of the code and hence the maintainability of the software. Static analysis, which is the analysis of code without execution, can be used to mitigate these issues. Using this technique, the adherence of code to a coding standard can be ascertained. The use of a specific standard improves readability and code maintainability. Traditional methods used for this purpose have been language-specific, and support for user-specified guidelines has been poor.This paper presents a tool that checks the conformance of the source code with user-curated guidelines. A simple, intuitive, and concise manner to specify guidelines is introduced. These guidelines are language-agnostic, thus allowing a uniform style to express them for multiple languages. A library of predefined guidelines has been provided to facilitate rapid development, and methods to add new guidelines are also expounded. Additionally, these guidelines can be used to verify if certain programming constructs have been used. Thus, it brings the codebase closer to the requirement specification document, allowing the programmer to effortlessly implement the code without worrying about its conformance. Lastly, an universal coding metric and benchmarking tool named LAPCA Score is provided which quantifies the extent of guideline violations that can be used to measure the degree of code compliance.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195438","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

A New MPPT Controlling Mechanism based on Adaptive Mongoose Optimization (MO) Algorithm for Grid-PV Systems 一种基于自适应猫鼬优化(MO)算法的并网光伏系统最大功率控制机制

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170280

S. Marlin, S. D. S. Sundarsingh Jebaseelan

{"title":"A New MPPT Controlling Mechanism based on Adaptive Mongoose Optimization (MO) Algorithm for Grid-PV Systems","authors":"S. Marlin, S. D. S. Sundarsingh Jebaseelan","doi":"10.1109/INCET57972.2023.10170280","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170280","url":null,"abstract":"Recent years have seen a rise in the use of solar Photovoltaic (PV) systems in numerous application systems because of their effectiveness and affordability. One of the main challenges is producing the maximum energy from PV panels under various environmental circumstances. In order to achieve the highest energy output, numerous optimization-based MPPT controlling systems have been devised in traditional works. Low convergence, computational complexity, the length of time required to discover the optimum solution, and inefficiency are major drawbacks. In order to put a recently created optimization technique called Mongoose Optimization (MO) for MPPT regulating into practise that is the aim of this study. With superior tracking efficiency and enhanced speed, it facilitates obtaining the maximum power from the PV panels. Moreover, a bi-directional converter is employed to control PV output while decreasing switching stress and loss. Also, the voltage source inverter is employed to lower harmonic distortion levels in order to guarantee improved power quality. Performance study evaluates and compares the simulation outcomes and the efficacy of the suggested regulating architecture using a variety of metrics.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134237563","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

Analyzing Robustness and Accuracy of Different Controllers for Underactuated Ships 欠驱动船舶不同控制器鲁棒性和精度分析

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170098

Anand Mohan, Abhilash Sharma Somayajula

引用次数: 1

New Born Baby Cry Analysis and Classification 新生儿啼哭分析与分类

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170511

N. Nimbarte, Huzaif Khan, Mangesh Dilip Sendre, Kiran Ramteke, Sonali Wairagade

{"title":"New Born Baby Cry Analysis and Classification","authors":"N. Nimbarte, Huzaif Khan, Mangesh Dilip Sendre, Kiran Ramteke, Sonali Wairagade","doi":"10.1109/INCET57972.2023.10170511","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170511","url":null,"abstract":"This study proposes a baby cry detection system using Mel Frequency Cepstral Coefficients (MFCC) and K-Nearest Neighbor (KNN) algorithm. The review of a wide variety of literature focuses primarily on data gathering, processing of signals in cross domain, and classification using machine learning algorithms. When using various apps to monitor a baby’s condition, automatic voice detection of a baby’s cry is crucial. This hypothesized concept involves the detection of a baby’s scream. To distinguish infant sounds of crying in a range of settings which are residential under challenging circumstances, this system uses a machine learning technique. The proposed method extracts MFCC features from the audio signals of the baby cries and applies KNN to classify the cries based on their features. The results are based on a classification-related investigation of the performance of cry-detection using KNN. A baby’s cry may be automatically detected in a few circumstances including different environmental noises. The suggested technique demonstrated high accuracy in identifying cry types when tested using a freely accessible dataset.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114281547","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

Classifying Sign Language Gestures using Decision Trees: A Comparison of sEMG and IMU Sensor Data 用决策树对手语手势进行分类:表面肌电信号和IMU传感器数据的比较

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170736

Akhtar I. Nadaf, S. Pardeshi

引用次数: 0

Digitalization of Catalogue Automation System with Firebase 基于Firebase的目录自动化系统数字化

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170052

Shaik. Pathima, Gude. SindhuPriya, Gudavalli. Lakshmi Yesaswini, S. Suhasini

{"title":"Digitalization of Catalogue Automation System with Firebase","authors":"Shaik. Pathima, Gude. SindhuPriya, Gudavalli. Lakshmi Yesaswini, S. Suhasini","doi":"10.1109/INCET57972.2023.10170052","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170052","url":null,"abstract":"It can be challenging to access information about books and users quickly. In any Catalogue systems, there is a sizable collection of books and other materials that are available for users to access. For the academic institutions, it serves as the brain. Mistakes can happen during the processing of documenting, cataloguing, and stacking books, and they may not be able to find the books they are looking for. It is difficult to keep track of all the books and users manually. If the book may be misplaced or stolen, this leads to a loss of revenue for the catalogue management system. Automated catalogue administration systems have several advantages, including expensive upkeep, technical challenges, the necessity for training courses, dependency on technology, and customizability. Yet, they also provide several advantages, such as improved information access, data management, and efficiency. The current application is a free and open-source web application developed using the MERN stack and hosts into the firebase up to a server. The goal of this paper is to develop a system that effectively handles all of the activities that take place in the catalogue system, enabling all users to access it whenever it is most convenient for them. Two factor authentications is carried out in the proposed system for handling users, email verification, notifications, book access, returns etc. admin handles security about users and other information to maintain effectiveness, confidentiality, integrity in the proposed system. Firebase is used to deploy the proposed web application and its operability. Real time updates, analytics are part of the proposed system","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114539052","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

Research on Application of English Learning App based on Android Platform 基于Android平台的英语学习App应用研究

2023 4th International Conference for Emerging Technology (INCET) Pub Date : 2023-05-26 DOI: 10.1109/INCET57972.2023.10170481

Yun Miao

引用次数: 0