2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)最新文献_第2页

Several Categories of Energy-Efficient Routing Protocols, Features, and Security Necessities in WSN: A Review 无线传感器网络中几种节能路由协议、特性和安全要求综述

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064506

Swati, Mamta Arora

{"title":"Several Categories of Energy-Efficient Routing Protocols, Features, and Security Necessities in WSN: A Review","authors":"Swati, Mamta Arora","doi":"10.1109/ICICT55121.2022.10064506","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064506","url":null,"abstract":"WSN is a novel technology used to monitor the real environment. The sensor nodes are proficient in sensing a variety of ecological situations and have some processing proficiencies and the capability to relay the data they collect wirelessly. WSN routing algorithms are responsible for choosing and maintaining data routes to provide regular and effective communication. Due to the energy limitations of WSNs, energy conservation has been the primary goal of several routing methods. The SNs have an extremely restricted power source that is non-rechargeable and rechargeable, posing a substantial EC problem. Energy management is a critical concern for extending the network's lifespan. Because SNs also function as routers, determining the best routing method is critical for reducing energy consumption. This article surveyed a detailed overview of characteristics, necessities, classification of routing protocols, and existing assessment of different EE (energy-efficient) routing methods in WSNs. The analysis of the different existing routing protocols with different parameters such as network lifetime, residual energy, and total energy consumption.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"45 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":"117257765","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

Face Mask Detection Using Convolution Neural Network 基于卷积神经网络的人脸检测

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064500

Pankaj Kumar, V. K. Gupta, D. P. Singh

{"title":"Face Mask Detection Using Convolution Neural Network","authors":"Pankaj Kumar, V. K. Gupta, D. P. Singh","doi":"10.1109/ICICT55121.2022.10064500","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064500","url":null,"abstract":"Face recognition in the industry now is playing an important role in each sector. Each person has different type of features and face; therefore, each identity is unidentical. In this COVID outbreak, a major crisis has occurred due to which preventions are to be made. One such prevention is use of a face mask which is very much important. Nowadays, various firms and organizations are using facial recognition systems for their own general purpose. We all know that it has now been a crucial task to wear a mask every time, when we go somewhere. But as we know it is not possible to keep track of who wears a mask and who does not. We make the use of AI in our daily life. We achieve this with the help of a neural network system, which we train so that it can further describe people's features. Even though the original dataset was limited, the Convolutional Neural Network (CNN) model achieved exceptional accuracy utilizing the deep learning technique. With the use of a face mask detection dataset that contains both with and without face mask photographs, we are able to recognize faces in real-time from a live webcam stream using OpenCV. We will develop a COVID-19 face mask detection system using our dataset, along with Python, OpenCV, Tensor Flow, and Keras.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"45 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":"125373805","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

Aspect Analysis of Dementia Patients 痴呆患者的方面分析

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064519

Saloni Gupta, Riya Sharma, N. Sharma, M. Mangla

{"title":"Aspect Analysis of Dementia Patients","authors":"Saloni Gupta, Riya Sharma, N. Sharma, M. Mangla","doi":"10.1109/ICICT55121.2022.10064519","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064519","url":null,"abstract":"Early diagnosis of Mental Cognitive Disorders (MCD) is crucial in establishing timely treatment to delay further progression of the disease. This paper demonstrates a data visualization and statistical data analysis of dataset collected from Kaggle. In this paper the authors have derived an analysis of a dataset based on Mild cognitive impairment (MCI) disorder. Most of the data that is brought to work is not clean and requires substantial amount of Data cleaning. Hence, for pre-processing and cleaning of data, we imported many python libraries and dealt with NULL values and outliers. These NULL values and outliers were treated using statistical methods and were replaced by their means and medians. Data visualization is the pictorial depiction of data by using visual elements like charts, graphs and maps. When data-processing and cleaning was completed, data was visualized with varied graphs and charts to create appealing, informative and detailed plots for presenting data in the most effective and easy way. The results focused on the visualization of demented and non-demented people of different genders along with other parameters to lay out a clear picture for the reader.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"66 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":"131495708","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

Measures of a Series System's Reliability for One or Two Decimal Random Data Points 一个或两个十进制随机数据点的串联系统可靠性度量

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064557

Harpreet Kaur, S. Sharma

引用次数: 1

A Study of AES Software Implementation for IoT Systems 物联网系统AES软件实现研究

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064507

Amitesh Tripathy, Brahmjit Singh

引用次数: 0

A Literature Review on Automatic Comment Generation using Deep Learning Techniques 利用深度学习技术自动生成评论的文献综述

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064537

P. Singh, Saransh Sharma

引用次数: 0

Prediction of Workload under Distraction using Supervised Learning Algorithms 使用监督学习算法预测分心下的工作量

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064593

Abhijeet Kujur, A. Bhattacharya, Greeshma Sharma, J. Kumar

{"title":"Prediction of Workload under Distraction using Supervised Learning Algorithms","authors":"Abhijeet Kujur, A. Bhattacharya, Greeshma Sharma, J. Kumar","doi":"10.1109/ICICT55121.2022.10064593","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064593","url":null,"abstract":"The complexity of activities in high-risk affairs is increasing daily because of advances in pervasive computing and contemporary interactive technologies. Numerical dexterity and accuracy are critical in various fields such as medical emergency, flights and space travel, radiation sensitive substance managing, defence and border security. Previous research has emphasised the role of attention involving number crunching and the mental exertion it entails. And yet, there is a dearth of research quantifying cognitive load while manipulating stimuli according to the proximity and similarity principles of Gestalt theory. The present research attempts to bridge this gap by capturing neurophysiological data during numerical estimation tasks with induced distraction by conflicting Gestalt perception and then employing predictive analytics methods. Pupillometry and Electroencephalography (EEG) are neurophysiological tools extensively employed in the study of mental load in various settings. This study reviews two dual segregation algorithms like eXtreme gradient boosting (XGBoost) and AutoML that are used for cognitive load identification. The dataset considered the power spectral density (PSD), motivation index (Frontal Alpha Asymmetry), relative power of EEG frequency bands, and pupil dilation. It was seen that as cognitive task load increased the Low beta frequency EEG waves (12.5-18 Hz) became more prominent, and were most active in the frontal regions. Right pupil dilation and frontal theta PSD were also noticed along with that. The significance of the study is to select the fewest or most informative modalities for monitoring in actual working contexts.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"171 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":"122716965","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 IPv4 and IPv6 in VANET Routing VANET路由中IPv4和IPv6的性能分析

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064554

Raj Bala, Mukesh Bansal

{"title":"Performance Analysis of IPv4 and IPv6 in VANET Routing","authors":"Raj Bala, Mukesh Bansal","doi":"10.1109/ICICT55121.2022.10064554","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064554","url":null,"abstract":"Internet Protocol version6 (IPv6) is the sixth revision to Internet Protocol. This protocol is going to replace IPv4 totally in future. Apart from serving the increasing demand for IP addresses, it also bundles other features for better health of Internet. It is anticipated that IPv6 will boost up speed and quality of service. With increasing demand to provide network to moving users, it has become absolutely important to analyze deployment of IPv6 in the network of moving vehicles, VANET. VANET is a self-organizing wireless network of running or stationary vehicles intended to support safety or intelligent transportation related information exchange between them. Routing plays an important role to facilitate vehicles communicate effectively. That is why this paper intends to compare performance of IPv6 and IPv4 in VANET routing. Two routing protocols, AODV and GPSR are used here for the purpose of analyzing performance in different scenarios. Two parameters are considered to measure and compare performance of IPv6 and IPv4. First parameter is Packet Delivery Ratio (PDR) and second is End-to-End Delay (E2ED). Network Simulator, NS-2 in amalgamation with broadly accepted VanetMobiSim is used to carry out simulation for the selected study. It is observed here that IPv6 provides better performance to both AODV and GPSR as compared to IPv4.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"36 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":"129383068","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

Machine Learning in Student Health - A Review 学生健康中的机器学习-综述

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064532

Deivanai Gurusamy, P. Chakrabarti, Midhun Chakkaravarthy

引用次数: 0

Diet Recommendation using Predictive Learning Approaches 使用预测学习方法推荐饮食

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064538

Anjali Jain, Alka Singhal

{"title":"Diet Recommendation using Predictive Learning Approaches","authors":"Anjali Jain, Alka Singhal","doi":"10.1109/ICICT55121.2022.10064538","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064538","url":null,"abstract":"In the modern world, people's health is one of their top priorities. As a result of inadequate nutrition, many people in the modern world are afflicted with a variety of diseases. It is urgently necessary to make timely and easy recommendations for a balanced diet, which is quite challenging. Time is one of the major restraints in today's world, therefore authors created a system for recommending diets to people based on their unique health needs, whether they are trying to gain weight, lose weight, or get a health checkup. The system is built on machine learning classifiers including Random Forest, Support Vector Machine, Ada Boost, and Gradient, as well as clustering methods like K-means. Boost. After calculating Body Mass Index and the user's desire for diet based on their health state (overweight, underweight, or healthy), the suggested system makes meal recommendations based on the user's age, height, and weight. The proposed paper summarises numerous similar works and evaluates the effectiveness of the suggested strategy. The performance comparison is displayed in terms of recall, recall accuracy, precision, and f1-measure.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"25 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":"116776105","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