2023 International Conference on Emerging Smart Computing and Informatics (ESCI)最新文献_第2页

State of the Art Challenges and Technique for 5G and 6G using Software Defined network 使用软件定义网络的5G和6G的最新挑战和技术

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099588

S. Bendale, Brijendra Gupta

引用次数: 0

A Novel Approach for Extended Network Coverage in Cell-free IoT 无蜂窝物联网中扩展网络覆盖的新方法

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100311

Ankita Rana, A. Taneja, N. Saluja

{"title":"A Novel Approach for Extended Network Coverage in Cell-free IoT","authors":"Ankita Rana, A. Taneja, N. Saluja","doi":"10.1109/ESCI56872.2023.10100311","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100311","url":null,"abstract":"Consumer electronics is emerging with expanded internet-of-things (IoT) enabled massive machine type communication (mMTC). It involves the intelligent connection between the consumer devices, network nodes, mobile nodes and other communicating nodes. The information flow between the large number of communicating nodes need to be seamless so as to avoid traffic congestion at the nodes. The poor signal quality and subsequent call drops mainly at the cell-edges is a challenge which degrades the performance of the IoT services. A novel dynamic method for the expanded IoT network based on cell-free scheme is presented. It aims for extended network coverage and offers quality-of-service (QoS) even to the edge sensor nodes. A practical communication network is proposed in which the IoT nodes are given service by a set of access points (APs). The presented framework is evaluated for per node spectral efficiency which is also supported through mathematical formulations. Further, the performance comparison with two other conventional schemes is carried out. It is observed that the proposed scheme outperforms the conventional schemes and improves the spectral efficiency per node by 20.18 % for the nodes located at the cell-edges. In the end, the role of different receive combiners on the system performance is evaluated.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180999","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 Marker-based AR System on Image Shadowing for Tourists 基于标记的游客图像阴影AR系统

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099856

B. Singh, Siddharth Malladi, Goli Suryachaitanya, Alwala Dheeraj

{"title":"A Marker-based AR System on Image Shadowing for Tourists","authors":"B. Singh, Siddharth Malladi, Goli Suryachaitanya, Alwala Dheeraj","doi":"10.1109/ESCI56872.2023.10099856","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10099856","url":null,"abstract":"At tourist attractions, in more cases, the human guides charge hefty amounts, and a manual is only available in some places. This work is about building a traveler-friendly application that can introduce AR-based experiences. AR is an immensely high technology, but it still has defects that are stopping the community from implementing it on a large scale. Nevertheless, it can change the way we look at the world. Marker-based AR provides a very immersive experience and closely mimics the real world; with this, user engagement with the user becomes easy. This technology demands high computational power and captures a sizable amount of memory. Android Studio was used to make the program, and we used the ARCore library as the AR rendering engine for our app. In our app, when we project the phone at an image, a video (AR scene) related to the image will be played, replacing the image in our application. A cloud database and internal storage store the augmented scenes and the corresponding images. Marker-based AR technology and image shadowing techniques achieve this. We used the historical image or scene as the anchor point marker. Designed an AR model that takes each frame from the camera feed, processes it, and finally renders the AR objects that will be projected into the scene. We tackled Augmented reality problems like light estimation, motion tracking, environmental understanding, and by fine-tuning the application. Through this implementation, people will be able to use it in tourist areas, and it has the potential to be better than a human guide.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123514816","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

Hybrid Binary Grey Wolf with Jaya Optimizer for Biomarker Selection from Cancer Datasets 混合二进制灰狼与Jaya优化器从癌症数据集的生物标志物选择

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100310

Bibhuprasad Sahu, Sujata Dash

{"title":"Hybrid Binary Grey Wolf with Jaya Optimizer for Biomarker Selection from Cancer Datasets","authors":"Bibhuprasad Sahu, Sujata Dash","doi":"10.1109/ESCI56872.2023.10100310","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100310","url":null,"abstract":"GWO (Grey Wolf optimizer) is the leading metaheuristic algorithm preferred by most researchers to solve different feature selection and optimization problems. Stagnation in local optima is a major concern that exists and it affects the performance of the machine-learning model. Exploration (search field) and exploitation (identifying optimal solutions) are the two most vital concepts in each metaheuristic algorithm. Properly balancing both to achieve a better result is a critical task as GWO is stuck in local optima. This paper presents a hybrid GWO with the Jaya algorithm (JA) as a local search (exploitation) to solve stagnation issues. Most of these methods are designed for solving complex continuous problems. A sigmoid transfer function is used to convert continuous search space to binary, which creates an environment for feature selection. The high-dimensional datasets are used to evaluate the most prominent features. To evaluate the performance of the proposed model, three different cancer datasets were used. The performance of the proposed model is compared with different state-of-the-art machine learning models. The analysis of the results shows that GWO optimized with local search (Jaya) performs better in terms of accuracy, feature size (selected), and computation time.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525399","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: 2

Web Based Book Recommendation System Using Collaborative Filtering 基于网络的协同过滤图书推荐系统

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099750

Ketaki Mankar, Shruti Pawar, Harsh Agarwal, Tejas Sangale, Smita Kulkarni

引用次数: 0

Analysing The Sentiments Of Marathi-English Code-Mixed Social Media Data Using Machine Learning Techniques 使用机器学习技术分析马拉语-英语代码混合的社交媒体数据的情绪

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100304

Varad Patwardhan, Gauri Takawane, Nirmayi Kelkar, Omkar Gaikwad, Rutwik Saraf, S. Sonawane

{"title":"Analysing The Sentiments Of Marathi-English Code-Mixed Social Media Data Using Machine Learning Techniques","authors":"Varad Patwardhan, Gauri Takawane, Nirmayi Kelkar, Omkar Gaikwad, Rutwik Saraf, S. Sonawane","doi":"10.1109/ESCI56872.2023.10100304","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100304","url":null,"abstract":"A vast amount of data is generated every day through social media platforms. Various techniques and methodologies are used to bring different forms of data to use. One such form of data is textual data generated from social media platforms in the form of chats, comments, and tweets. The term “code-mixed data” describes data that combines components of different languages or linguistic subgroups such as text written in several different languages or speech that shifts between languages. Due to increased social media use and worldwide communication, many individuals are using multiple languages in their daily communication, making this type of data even more crucial. Machine translation, speech recognition, and text categorization are just a few examples of natural language processing activities that can be performed on code-mixed data. Research on code-mixed data can also aid in the understanding of multilingual communication. In this paper, we present an empirical study on the problem of word-level language identification and text normalisation for Marathi-English code-mixed text. We have created a new dataset of 1009 sentences that exhibit code-mixing of Marathi (Romanised) and English textual data. This data was collected from Whatsapp chats and Youtube comments.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128503185","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

Horizontal Max Pooling a Novel Approach for Noise Reduction in Max Pooling for Better Feature Detect 水平最大池化是一种新的最大池化降噪方法，用于更好的特征检测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099648

Yash More, Kunal Dumbre, Bahubali K. Shiragapur

{"title":"Horizontal Max Pooling a Novel Approach for Noise Reduction in Max Pooling for Better Feature Detect","authors":"Yash More, Kunal Dumbre, Bahubali K. Shiragapur","doi":"10.1109/ESCI56872.2023.10099648","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10099648","url":null,"abstract":"As of now CNN(Convolutional Neural Network) in DNN(Deep Neural Network) has become a main focus for better and faster feature detections. More and more deep neural networks have been proposed to improve the efficiency and accuracy of models. While all the models are based on the same building pillars like convolution subsampling, pooling, activations functions etc. used in the model. Till now many researchers have shown interest in using different activation functions like relu, leaky relu and as of now using softmax activation function but yet they all are using similar pooling approach “Max Pooling”. Using this we can detect the feature more prominently but also highlighting some unwanted features too referred to as noise. So in this paper we have introduced a new pooling approach “Horizontal Max Pooling” to reduce this noise for better feature detection and extraction. Although this paper contains a single image example we have tested this approach on many different images and matrices each result in noise reduction and visible and noticeable change.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233315","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

IOT Devices Using Supervised Machine Learning Models for Anomaly Based Intrusion Detection 物联网设备使用监督机器学习模型进行基于异常的入侵检测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099676

Usha Divakarla, C. K

引用次数: 0

Improved Audio Filtration using IIR Filter 改进音频过滤使用IIR滤波器

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099677

Vaibhav Gour, Mayur Gurnule, Mohammad Kaif, Akanksha Bherje, Nutan V. Bansode

引用次数: 0

Bibliometric Analysis on Security of Different Layers in Internet of Things (IoT) Environment 物联网环境中不同层次安全的文献计量学分析

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099986

Tanishq Soni, D. Gupta, Mudita Uppal

引用次数: 2