2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)最新文献_第6页

Regression Analysis & Visualization of Twitch Dataset 回归分析和可视化抽搐数据集

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064568

Insha Khan, Riya Kumari, N. Sharma, M. Mangla, Inderdeep Kaur

引用次数: 1

MCDM- Based Framework to Solve Decision Making Problems in Software Engineering 基于MCDM的软件工程决策框架

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064599

Ajay Mahaputra Kumar, Kamaldeep Kaur

{"title":"MCDM- Based Framework to Solve Decision Making Problems in Software Engineering","authors":"Ajay Mahaputra Kumar, Kamaldeep Kaur","doi":"10.1109/ICICT55121.2022.10064599","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064599","url":null,"abstract":"A reliable decision-making system can help software engineers effectively to manage the software development process. A lot of decisions must be taken throughout the software development process, such as selecting design concepts and selecting alternative solutions. However, most of the decision-making problems encountered in software engineering are relevant to the multiple criteria which need to be considered simultaneously. Multi-criteria decision making (MCDM) has evolved as an efficient method in the software industry for integrating stakeholder values and technical information throughout software development. The contribution of this study is many folds. First, this study presents previous research contributions on applying MCDM methods in software engineering. Second, this work conducts a comparative study of numerous MCDM methods applied in software engineering and other prominent MCDM methods that might be used in software engineering. Third, this study proposes an MCDM based framework for solving various types of decision-making problems in software engineering. Fourth, this paper also presents some future research directions on applications of MCDM methods in software engineering.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133683134","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

Architecture and Types of Intelligent Agent and Uses of Various Technologies 智能代理的体系结构和类型以及各种技术的使用

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064524

Shweta Sharma, Anil Ahlawat

引用次数: 0

Web Accessibility Challenges for Disabled and Generation of Alt Text for Images in Websites using Artificial Intelligence 在使用人工智能的网站中，残疾人和生成图像的Alt文本的网页可访问性挑战

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064545

Tejal Tiwary, Ranjendra Prasad Mahapatra

引用次数: 0

Comparative Analysis of Differential Evolution Algorithm Using Shannon, Fuzzy, and Cosine Similarity Entropy Functions for Satellite Image Segmentation 基于Shannon、模糊和余弦相似熵函数的差分进化算法在卫星图像分割中的比较分析

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064605

Neha Bagwari, Sushil Kumar, Vivek Singh Verma

引用次数: 1

AR Museum: A Virtual Museum using Marker less Augmented Reality System for Mobile Devices AR博物馆:使用移动设备的无标记增强现实系统的虚拟博物馆

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064611

Harsh Vardhan, Ayush Saxena, Ashish Dixit, Sourbh Chaudhary, Ansh Sagar

{"title":"AR Museum: A Virtual Museum using Marker less Augmented Reality System for Mobile Devices","authors":"Harsh Vardhan, Ayush Saxena, Ashish Dixit, Sourbh Chaudhary, Ansh Sagar","doi":"10.1109/ICICT55121.2022.10064611","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064611","url":null,"abstract":"As the most effective hand-held devices are readily available in the world, while not the latest topic, Augmented Reality (AR) has become one of the fastest growing research topics. These robust devices can calculate large amounts of data in the blink of an eye. Enabling the integration of manufactured, interactive, and graphic computing in the real world to enhance the in-depth user experience. In this paper, we developed a Mobile Augmented Reality Experiences [1] through an application that allows users to explore and interact with virtual museum locally using marker-less AR. till now this work is not been done in this field. Using this AR technology, it enables museums to exhibit a whole collection of artifacts in limitedspace. Typically, in conventional artifacts exhibitions, the artifacts are protected in galleries which require wide spaces, and this causes only part of the artifacts to be exhibited. Thus, by digitizing the artifacts, there is no need to put the virtual artifacts in the gallery since it is a virtual model. Consequently, available space can be used to display the other artifacts to the public. The app was developed using the Google AR Core SDK and Unity 3D and will serve as a useful tool for producing a museum anytime and anywhere, giving the user virtual stimulation of museum.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128929534","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

Utilizing QUALNET for Analyzing MANET Protocols 利用QUALNET分析MANET协议

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064495

G. Rawat, Sushil Kumar, Umang Rastogi

引用次数: 0

Hand Tracking Based Human-Computer Interaction Teaching System 基于手部跟踪的人机交互教学系统

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064617

N. K., S. B., P. S., Nitesh J, K. R, Prabhu E

{"title":"Hand Tracking Based Human-Computer Interaction Teaching System","authors":"N. K., S. B., P. S., Nitesh J, K. R, Prabhu E","doi":"10.1109/ICICT55121.2022.10064617","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064617","url":null,"abstract":"In the modern era of computers, various new technologies have been arising. One such thing is a touchless application that is used or controlled aerially with hand gestures and movements. Augmented reality and virtual reality have come into use which is controlled by gesture controls. Applications that work with gesture controls have started targeting all kinds of users. Python libraries like MediaPipe and OpenCV are used in hand-tracking, palm detection and object detection. Our work aims in developing a virtual painter that helps young children to draw simple images and shapes of varying sizes. The tool recognizes the hand with hand and palm detector models of MediaPipe and capture the modes for selection and drawing using OpenCV library. In the covid pandemic where children are stuck at home and everything has become online, this tool helps them in practicing simple shapes virtually and also makes it interesting for them. The system is tested by drawing aerially with hands and using selection/drawing modes. It worked well with less time latency due to the inbuilt SSD algorithm used in MediaPipe.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124256221","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

A Study of Deep Learning Models in Diagnosis and Prediction of Chronic Diseases 深度学习模型在慢性疾病诊断与预测中的应用研究

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064613

Sayyada Hajera Begum, P. Vidyullatha

引用次数: 0

Deep Learning Based Text to SQL Conversion on WikiSQL Dataset: Comparative Analysis 基于深度学习的WikiSQL数据集文本到SQL的转换:比较分析

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064556

Kushal Lahoti, Muskan Paryani, A. Patil

{"title":"Deep Learning Based Text to SQL Conversion on WikiSQL Dataset: Comparative Analysis","authors":"Kushal Lahoti, Muskan Paryani, A. Patil","doi":"10.1109/ICICT55121.2022.10064556","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064556","url":null,"abstract":"Due to tremendous expansion in the banking, business, and IT sectors, data is growing at an exponential rate these days, and the majority of it is stored in relational databases. In order to access and alter information, users must be proficient with languages such as SQL (Structured Query Language). However, the customers are unfamiliar with SQL. As a result, a number of different models have been presented to date to convert English queries into SQL for extracting data from databases to achieve human performance on the dataset. It is an approach toward developing an end-to-end solution that may provide an intuitive text interface for many data sources within the corporate ecosystem, allowing them to obtain real-time data visualization or insights. Some of the models developed to date have already surpassed the 90 % test accuracy on the WikiSQL dataset. However, more research is needed to develop a largely scalable model with higher accuracy on custom and unknown databases. The purpose of this paper is to shed light on different strategies involved in this domain and to understand the contrast between them. We mainly focus on those factors and aspects that impact the performance and accuracy of the task significantly. This paper presents comprehensive research on the most prominent algorithms and analyses them based on different factors.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121933253","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