2023 International Conference on Disruptive Technologies (ICDT)最新文献_第2页

Decentralized Framework of Enabling Technology in Primary Healthcare 初级保健授权技术的分散框架

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150566

D. Rawat, Deepti Sharma, Shweta Pandey, Rajesh Singh, Angel Swastik Duggal, Sudhanshu Sudhanshu

引用次数: 0

Bifurcation of Sodium and Potassium Conductance for Detection of Some Neurological Disorder 钠钾电导分岔检测某些神经系统疾病

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150779

Anju Gera, T. Ahmed, Seema Nayak

引用次数: 0

An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory 复数理论中基于代数数学的统计分析模型创新

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151169

B. Pattanaik, Sukhavasi Kumari, Kiran Kumar C, Manjula Pattnaik, Syed Ibad Ali, M. Kumarasamy

{"title":"An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory","authors":"B. Pattanaik, Sukhavasi Kumari, Kiran Kumar C, Manjula Pattnaik, Syed Ibad Ali, M. Kumarasamy","doi":"10.1109/ICDT57929.2023.10151169","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151169","url":null,"abstract":"In general, statistical analysis is an advanced method of evaluating analytical components based on mathematical data. The important parts in statistical analysis are the collecting statistics, organizing and analyzing data. Every part of this process is tested. Statistical techniques are also used in other areas of knowledge. Although it is seen as a field based on statistical predictive functions, its structure and calculation methods are based on probability. It also adds advanced mechanisms to regulate its randomness as its improved methods predict the probability of occurrence. In this paper an algebric mathematical based statistical analysis model was proposed. It is important to sample statistics because a typical sample of people should be selected. Mathematical statistics involves a basic calculation of events. These estimates are used to determine the mean, variance, and skewness of a probability distribution. Statistical data processing is impossible without their sorting, generalization and analysis. Any results should be put in such a format that one can get the most useful information first. If the data is large, then they should be grouped or spread.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012909","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 Modern Frontend Frameworks for Building Large-Scale Web Applications 构建大规模Web应用程序的现代前端框架的比较分析

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150911

Pancham K. Singh, Mili Srivastava, Mrignainy Kansal, A. P. Singh, Abhay Chauhan, Adarsh Gaur

引用次数: 0

Performance Evaluation of Multi-user Massive MIMO Systems with Hybrid Precoding 混合预编码的多用户海量MIMO系统性能评估

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150971

Neeraj Sharma, B. Gupta

{"title":"Performance Evaluation of Multi-user Massive MIMO Systems with Hybrid Precoding","authors":"Neeraj Sharma, B. Gupta","doi":"10.1109/ICDT57929.2023.10150971","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150971","url":null,"abstract":"Unlike conventional multiple-input multiple-output (MIMO), massive MIMO communication is a scalable technology offering benefits corresponding to the deployed base station (BS) antennas. It implies equipping BS with huge number of antennas compared to user terminals. It offers sizable boost in spectral and energy efficiencies along with linear signal processing techniques. Among the various design problems related to massive MIMO, effective precoding is one of the most important signal processing tasks at the BS to enable successful downlink transmission. Digital precoding techniques are employed in conventional MIMO systems, where each antenna is preceded by a dedicated RF chain. These techniques are unsuitable for massive MIMO due to excessive number of power hungry and expensive RF chains. In this paper, we discuss advantages, fundamental properties and design challenges of massive MIMO technology. We also present an energy-efficient, low-cost and low-hardware complexity hybrid precoding technique for massive multi-user MIMO systems under Rayleigh fading and millimeter wave channels. Compared with fully digital zero-forcing precoding, the hybrid precoding technique exhibits very high energy and near-optimal spectral efficiency.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128853570","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

Social Media Influences in Sleeping Patterns of Human 社交媒体对人类睡眠模式的影响

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151147

Kaniphnath Malhari Kudale, G. Kannan, Durgaprasad Navulla, Sunil S

{"title":"Social Media Influences in Sleeping Patterns of Human","authors":"Kaniphnath Malhari Kudale, G. Kannan, Durgaprasad Navulla, Sunil S","doi":"10.1109/ICDT57929.2023.10151147","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151147","url":null,"abstract":"Many of the studies that have been conducted on this subject in the past used adolescents as their subjects. This suggests that data on such occurrences among young adults is scarce. Adolescents have a unique opportunity to take charge of their health and happiness at a moment in life when it is crucial for them to do so. High-quality sleep is essential for teenagers to maintain alertness and concentration during the day and in the classroom. Therefore, it is crucial that they establish regular sleeping habits and limit their usage of electronic media in the hours before bed. In spite of the popularity of social media and the prevalence of computers and mobile phones in private spaces, no research has examined the link between problematic adolescent investment in social networking, sleep practices, and related school experiences. This is so even if there have been no investigations into the possible link. An indirect influence of sleep disruptions drove this significant increase. These results suggest that the dangers connected with social networking sites have a greater impact on younger people than on older people. For example, not getting enough sleep might have a negative effect on how well you perform in school generally. Adolescents' emotional participation and subjective well-being would improve if they were encouraged to adopt healthy sleep habits by limiting the frequency of sleep interruptions brought on by their usage of social media.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133723778","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

Airline Customer Segmentation based on Complex Behavioral Approach using K-Mode and XG-Boost Algorithm 基于K-Mode和XG-Boost算法的复杂行为方法的航空公司客户细分

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151011

Mansi Mahendru, Archana Singh

{"title":"Airline Customer Segmentation based on Complex Behavioral Approach using K-Mode and XG-Boost Algorithm","authors":"Mansi Mahendru, Archana Singh","doi":"10.1109/ICDT57929.2023.10151011","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151011","url":null,"abstract":"Passenger disappointment with quality of services is one of the key component affecting the revenue deprivation of the airline industry. Now the airline industry has realized that traditional customer segmentation based on demographics does not reflect customer behavior. Airline is one of the global industries in which customer expectations change very rapidly. Dealing with those expectations in a highly competitive market means airlines must re-formulate their customer segmentation process, from social demography to more composite behavioral approach that consider the entire travel experience of the customer. To overcome above limitation, this study uses passenger booking GDS data having attributes such as user origin, destination, flight class, price, travel search category, trip span, time of fly, number of passengers, trip break and is round trip in order to predict the type of traveler I.e. whether a user is a family traveler, group traveler, business traveler and solo traveler. To find the pattern in the data this study illustrates the idea of applying K-Mode clustering which calculates the most optimal clusters within the data points. Then to predict the class of the traveler XG Boost algorithm is applied and for explaining the outcome of any machine learning model. Shapley Additive Explanations value analysis is used.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124243231","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

Virtual Reality Based Training Simulator: A Bibliometric Analysis 基于虚拟现实的训练模拟器:文献计量学分析

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150887

Priyanka Datta, Amanpreet Kaur, A. Mantri

引用次数: 0

An Exhaustive Analysis on Security Issues concerning IoT using Blockchain 基于区块链的物联网安全问题详尽分析

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150747

Gaurav Vats, Pankaj Sharma

引用次数: 0

Plant Disease Classification Using Machine Learning 利用机器学习进行植物病害分类

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151118

Ravi Shankar Singla, A. Gupta, Richa Gupta, Vikas Tripathi, Mahaveer Singh Naruka, Shashank Awasthi

{"title":"Plant Disease Classification Using Machine Learning","authors":"Ravi Shankar Singla, A. Gupta, Richa Gupta, Vikas Tripathi, Mahaveer Singh Naruka, Shashank Awasthi","doi":"10.1109/ICDT57929.2023.10151118","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151118","url":null,"abstract":"In the event of a sharp rise in global population, agriculture strives to provide food to it. In agriculture, the detection and diagnosis of diseases occurring in the plants continues to be the arduous task. That is why it is endorsed to predict the diseases when the crops are in early stage. This work is done to develop and implement a disease prediction system by using different machine learning algorithms and a convolutional neural network. The objective of the paper is to grab the attention among the organisations to employ innovative technologies to decrease the diseases that are persistent in plants. The different approaches of ML and image processing with the algorithm that will provide explicit results to recognize the leaves that are healthy and classification algorithms and techniques so that we come to a result of categorically conclusive factor that the leaf is infected by any disease or not. Firstly, the dataset of leaves is divided into directories based on some features extracted from the leaves. Now, the logistic regression estimates the probability of the leave being healthy, based on the dataset of independent variables. The same dataset is also provided to Neural Networks (NN), Support Vector Machines (SVM) and Naïve Bayes algorithms. All the models are analysed with the confusion matrix and K-Fold Cross validation techniques. The proposed model gave the accuracy of 94% using Neural Networks.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114837423","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