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Proceedings - 2023 3rd international conference on pervasive computing and social networking, icpcsn 2023

Proceedings - 2023 3rd International Conference on Pervasive...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

ISBN: (纸本)9798350322842

The proceedings contain 293 papers. The topics discussed include: battery energy management systems in active distribution network;FMCG market analysis for wholesalers and retailers using machine learning;detection of insider threats using deep learning;bio-inspired optimization with transfer learning based crowd density detection on sparse environment;an overview on breast cancer detection and classification methods using machine learning techniques;disease prediction using random forest classifier by machine learning application;a study on working and applications of sequential deep learning models;Internet of Things towards the implementation of a smart city;enhancing supply chain traceability with blockchain technology: a study on dairy, agriculture, and seafood supply chains;and customer segmentation and market analysis for portfolio generation.

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2023 3rd international conference on pervasive computing and social networking icpcsn 2023

2023 3rd International Conference on Pervasive Computing and...

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pervasive computing and social networking (icpcsn), international conference on

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DevOps for Edge computing: Challenges and Solutions 3

DevOps for Edge Computing: Challenges and Solutions

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Abbas, Syed Imran Singh, Monika Punjab Mohali India

ISBN: (纸本)9798350322842

This research work explores the challenges and solutions of implementing DevOps for Edge computing. It provides an overview of DevOps principles and practices, as well as the characteristics of Edge computing. The integration of DevOps and Edge computing is discussed, highlighting the benefits and challenges. The study addresses the challenges of implementing DevOps for Edge computing, including specialized skills, limited resources, and complex infrastructure. The research methodology section describes the design, approach, and data collection and analysis methods. Case studies and examples are included to illustrate the challenges and proposed solutions. The results and analysis section presents an overview of the collected data and findings, indicating that implementing DevOps for Edge computing can improve development speed, efficiency, and reliability. The conclusion summarizes the research findings, their implications, limitations, and recommendations for future research. Overall, this research work provides valuable insights into the challenges and solutions associated with implementing DevOps for Edge computing. © 2023 IEEE.

关键词： Edge computing

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Hybrid Model to Address Software Controlled Arduino Robocar Using Advanced computing Technique 3

Hybrid Model to Address Software Controlled Arduino Robocar ...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Aher, Nihali A Mulik, Chetan S Porwal, Deepak Pardeshi, Dipesh B. William, P. Sanjivani College of Engineering Savitribai Phule Pune University Department of Electrical Engineering Pune India Sanjivani College of Engineering Savitribai Phule Pune University Department of Information Technology Pune India

ISBN: (纸本)9798350322842

The cost of fuel is increasing day by day and there is the possibility of depletion of fuel sources in the future. Also, there is an increase in pollution day by day, so the major objective of this project is to manufacture this Arduino Robocar for material handling in various industries. In this study, a robotic vehicle is manufactured which runs like a car. When the bot is loaded with some goods or another material. © 2023 IEEE.

关键词： Materials handling

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Cirrhosis Prediction in Chronic Liver Disease Patients Using Machine Learning Techniques 3

Cirrhosis Prediction in Chronic Liver Disease Patients Using...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Athish, V.P. Sree Nandha, S.S. Rajeswari, D. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Dept. of Data Science and Business Systems Tamilnadu Kattankulathur603203 India

ISBN: (纸本)9798350322842

Liver failure is a serious medical condition that can have life-threatening consequences. The liver is responsible for filtering blood and performing many other important functions. With the rise of machine learning in healthcare, there is an opportunity to use past datasets to predict liver failure early on. The main focus of this research work is to explore the application of supervised machine learning algorithms in predicting liver failure. The study involved pre-processing techniques such as univariate and bivariate analysis, and data visualization to gain better insights into the features of the dataset. Using these techniques, a multi-class classification model was built with machine learning algorithms, and the performance metrics of accuracy, F1 score, and recall were used to compare the algorithms. The results show that machine learning algorithms can accurately predict liver failure and can be an effective tool in healthcare. This study demonstrates the potential of machine learning in predicting liver failure and can contribute to the development of future models in the field. The results of this research study indicates that the proposed algorithm achieved an accuracy of 94.48%. The proposed work will be beneficial to researchers in this field and inspire them to build more advanced and accurate models. © 2023 IEEE.

关键词： Support vector machines

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Covid-19 Classification Model Based on Age and Gender Analysis Using SWHO-Based Deep CNN 3

Covid-19 Classification Model Based on Age and Gender Analys...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Rastogi, Vanshika Jain, Ajit Kumar Banasthali Vidyapith Computer Science & Engineering Vanasthali Rd Rajasthan Aliyabad304022 India

ISBN: (纸本)9798350322842

Nowadays, Corona Virus Disease-19 (COVID-19) disease is considered one of the main health issues, which is spreading in the worldwide environment, and due to this, infected patients are isolated to avoid spreading the disease. So, instant recognition is required for classifying the disease in a precise manner. Hence, the SWHO deep convolutional neural network (CNN) classification is developed to analyze the disease and the process of rising the COVID-19 classification scheme commences with collecting the blood samples and proceeds through preprocessing, feature extraction, as well as classification. Thus, the accuracy, sensitivity, as well as specificity of the developed method attained the value of 89.797%, 92.351%, and 88.252%, at 80% of training. © 2023 IEEE.

关键词： Convolutional neural networks

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A Machine Learning Approached Model to Identify the Object for Visually Impaired Person 3

A Machine Learning Approached Model to Identify the Object f...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Joshi, Sunita Gupta, Neha Mitali Yadav, Gautam Manav Rachna International Institute of Research Studies Faculty of Computer Applications Faridabad India

ISBN: (纸本)9798350322842

According to the World Health Organization (WHO), 253 million individuals worldwide are visually impaired, including 36 million who are blind and 217 million who have moderate to severe vision impairment. The objective of this study is to demonstrate an improved approach through a real-time working model that is used for the prediction of objects around a visually impaired person. The proposed model is based on object detection which aids in several aspects of object prediction such as accident reduction and managing daily routines while protecting themselves from hazards or obstacles. The proposed model has an accuracy of 72%. More datasets will be embedded in the future to conduct large-scale object prediction with greater accuracy. © 2023 IEEE.

关键词： Object detection

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Parallel computing and Deep Learning-Based Techniques for Colorization of Visual Media 3

Parallel Computing and Deep Learning-Based Techniques for Co...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Abhiram, K.V. Keerthi, U.S. Ashok, Sakshi Jain, Milan Hundia Mathur, Ashwini Kumar Karnataka Bengaluru India Department of CSE Karnataka Bengaluru India

ISBN: (纸本)9798350322842

The goal of visual media colorization, which is a basic and fundamental subject in computer graphics, is the addition of color to a monotone source image in order to get a vivid bright-colored result. Currently, artists around the world must manually decide the colors using editing software. This study intends to automate this process of converting a black-and-white medium into a colored one. In this research work, Deep Learning for visual media colorization with the help of parallel computing is proposed, with a simple colorization method in which the model detects objects and imparts color to the input feed based on the trained dataset. A model will be trained based on CNN to automatically convert grayscale video feed into the colored video feed. © 2023 IEEE.

关键词： Color

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Edge computing: Architecture, Implications and Future with Latest Trends 3

Edge Computing: Architecture, Implications and Future with L...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Thakkar, Krish Patel, Akash Budhrani, Aishwariya Patel, Khushi Patel, Sachin Nayak, Amit Department of Information Technology Gujarat Changa388421 India Department of Computer Science & Engineering Gujarat Changa388421 India Department of Computer Engineering Gujarat Changa388421 India

ISBN: (纸本)9798350322842

As a result of the proliferation of Internet-connected smart devices brought about by the explosive growth of the Internet of Everything (IoE), lower bandwidth load, slower response, bad security, and poor privacy are just some of the issues that have arisen with data growth. Edge computing solutions have arisen as a response to the limitations of traditional cloud computing in meeting the data processing demands of modern societies. Edge computing, the new era of distributed computing, differs from cloud computing in that it places greater emphasis on being physically proximate to both the user and the data itself. The primary focus of this article is a critical examination of the associated literature and findings around edge computing. Edge computing is first briefly compared with cloud computing. Then, briefly discuss edge computing's architecture, followed by major challenges with edge computing and ending with latest trends with edge computing. © 2023 IEEE.

关键词： Computer architecture

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Memory Optimization and computing of Emojis-based IoT Smart Pot 3

Memory Optimization and Computing of Emojis-based IoT Smart ...

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3rd international conference on pervasive computing and social networking, icpcsn 2023

作者： Kalimuthu, M. Narendra Ilaya Pallavan, P. Priya Varshini, G.U. Senthilkumar, S. Pragadeeshwarar, S. Karthick, R. Bannari Amman Institute of Technology Electronics and Instrumentation Engineering Sathyamangalam India

ISBN: (纸本)9798350322842

IoT is everywhere in today's world, from food industry to healthcare. So, we formulated an idea to implement the Internet of Things in a simple and efficient way on plant pots. Currently, indoor plants are sought after, and the quantity of individuals getting them is expanding every day. Gardeners want to grow healthy plants but maintaining plants in pots requires IoT of time and patience. Smart pot helps people to get connected to their plants. Smart pot has a super- intelligent monitoring system that helps to understand plants condition and update the user with emoji. Normal pots have no data monitoring system, tis give smile pot a huge advantage as data about the plant like humidity, moisture level, health of the plant can be monitored often and helps us for future analysis. Even the user can set regular watering session for the plant based on its need. The auto watering system helps to water plants when the moisture level is below par. Overwatering is a major drawback of using pot, smile pot even helps us to track level of water in soil and water plant only when needed. Pretty much anything with roots can grow in smart pot. This method encourages IoT of urban residents to engage with plants and create their own organic food. Thus, smile pot reduces undernourishment and helps to create a better chemical free food supply. © 2023 IEEE.

关键词： Moisture

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