ITM Web of Conferences最新文献_第3页

A Deep Learning Model to predict the Industry Readiness of Engineering Students Community 基于深度学习模型预测工程专业学生群体的行业准备程度

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/ITMCONF/20213701017

Ashok Murugesan, K. Ramasamy, Umadevi Ashok, R. Pandian

引用次数: 0

5G base station prototyping: implementation possibilities in Russia 5G基站原型:在俄罗斯实施的可能性

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20193003001

Oleg Ponomarev, A. Moiseichenkov, A. Bakhtin, E. Omelyanchuk, A. Semenova, V. Mikhailov

引用次数: 0

Intrusion Detection System Using machine learning Algorithms 基于机器学习算法的入侵检测系统

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20224602003

Rachid Tahri, Y. Balouki, A. Jarrar, A. Lasbahani

{"title":"Intrusion Detection System Using machine learning Algorithms","authors":"Rachid Tahri, Y. Balouki, A. Jarrar, A. Lasbahani","doi":"10.1051/itmconf/20224602003","DOIUrl":"https://doi.org/10.1051/itmconf/20224602003","url":null,"abstract":"The world has experienced a radical change due to the internet. As a matter of fact, it assists people in maintaining their social networks and links them to other members of their social networks when they require assistance. In effect sharing professional and personal data comes with several risks to individuals and organizations. Internet became a crucial element in our daily life, therefore, the security of our DATA could be threatened at any time. For this reason, IDS plays a major role in protecting internet users against any malicious network attacks. (IDS) Intrusion Detection System is a system that monitors network traffic for suspicious activity and issues alerts when such activity is discovered. In this paper, the focus will be on three different classifications; starting by machine learning, algorithms NB, SVM and KNN. These algorithms will be used to define the best accuracy by means of the USNW NB 15 DATASET in the first stage. Based on the result of the first stage, the second one is used to process our database with the most efficient algorithm. Two different datasets will be operated in our experiments to evaluate the model performance. NSL-KDD and UNSW-NB15 datasets are used to measure the performance of the proposed approach in order to guarantee its efficiency.","PeriodicalId":433898,"journal":{"name":"ITM Web of Conferences","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121052525","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: 3

Augmented Reality based Navigation and Recognition System 基于增强现实的导航和识别系统

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20203203026

D. Panda, Gayatri Raje, Satish Y. Ket

{"title":"Augmented Reality based Navigation and Recognition System","authors":"D. Panda, Gayatri Raje, Satish Y. Ket","doi":"10.1051/itmconf/20203203026","DOIUrl":"https://doi.org/10.1051/itmconf/20203203026","url":null,"abstract":"The current navigation system requires the user to continuously map with the navigation application with the real-world environment. It sometimes leads to an incorrect path due to minor difference in the distance between different paths. The identification of nearby places of unknown locality is difficult as one has to ask for information and reviews which can be misleading. Recognition of unknown people for their authenticity cannot be guaranteed as one has to rely on official documents which can be fake. This paper aims to describe the design of an application that will provide the same reality-based environment as that seen through the naked eye, but it adds visual simulation or content to provide an enhanced view to the user during navigation. We will be using Augmented reality to provide users with more information, computer-assisted decision making, and interactive learning and training. The application will combine Google’s existing Maps data with a live feed from your phone’s camera to overlay walking directions on top of the real world and help you figure out which way you need to go. Identification of near-by places and authenticity of the unknown people can be done from the data stored on the cloud and will be augmented when scanned through the camera of the phone which is the only requirement of the application. It also enables the users to navigate indoors with the help of a radar map and arrow pointing towards the points of interest. This application enables the user to navigate using the mobile phone and get the directions augmented in the real world to take accurate decisions. The user can also navigate to different points of interest- indoor as well as outdoor. It also enables the recognition of places, as well as people and the details related to the same, get augmented.","PeriodicalId":433898,"journal":{"name":"ITM Web of Conferences","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121232977","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

Optimised Image Storage and Retrieval on Hadoop 基于Hadoop的优化图像存储和检索

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20235303001

Praveen M. Dhulavvagol, Akhilesh Gadagkar, K.J. Ateeth, Gururaj Hegade, Ritik Poonia, S. G. Totad

引用次数: 0

Analysis of the Dynamic Behavior of a Vehicle Suspension when Passing over a Bump 车辆悬架通过颠簸时的动态行为分析

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20192902014

S. Deac, S. Stanciu, Costel Berce, E. Oanţă, D. Vlădaia, L. Bereteu

引用次数: 1

Theoretical and experimental studies of highly selective planar two-dimensional Bragg structures based on dielectric waveguides in the terahertz frequency range 在太赫兹频率范围内基于介质波导的高选择性平面二维Bragg结构的理论和实验研究

ITM Web of Conferences Pub Date : 1900-01-01 DOI: 10.1051/itmconf/20193007009

N. Ginzburg, N. Peskov, V. Zaslavsky, E. Kocharovskaya, A. Malkin, A. Sergeev, M. Proyavin, D. Sobolev