2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)最新文献

NISS 2022 Cover Page NISS 2022封面

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/niss55057.2022.10085011

引用次数: 0

Cloud Computing Application in Medical Imaging: Challenges and Opportunities 云计算在医学成像中的应用:挑战与机遇

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10084922

Hicham Boudlal, Mohammed Serrhini, A. Tahiri

引用次数: 0

Towards fast ECC signing algorithms for Blockchain 区块链的快速ECC签名算法研究

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085497

Youssef Lamriji, K. Makkaoui, A. Beni-Hssane

引用次数: 3

Utilizing AR for 3D Geometry Object Visualization 利用AR 3D几何对象可视化

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085172

Khasanah Nur Hidayah, A. Siagian, R. Richardo, S. Riyanto

{"title":"Utilizing AR for 3D Geometry Object Visualization","authors":"Khasanah Nur Hidayah, A. Siagian, R. Richardo, S. Riyanto","doi":"10.1109/NISS55057.2022.10085172","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10085172","url":null,"abstract":"Employing a learning medium can support learning and teaching activities. This learning medium can be one way to help students in understanding particular lessons, e.g., mathematics, art, and science. Although due to some reasons that understanding such specific lessons might be very difficult, using a learning tool can help students in understanding them easily. Thus, this study aims to develop such a learning medium in helping students to learn mathematics using visualization. In particular, we utilize augmented reality (AR) technology to visualize cube and beam objects. The visualized cube and beam objects are in the form of models and nets. The models and nets visualization is shown as a basic understanding to learn the geometry of three-dimensional (3D) flat-sided shapes. For this purpose, we use Research and Development (R&D) method consisting of define, design, development, and dissemination steps in this study. Our experimental results show that the developed AR application could work well to visualize the models, nets, and volume of cube and beam objects in 3D.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131664989","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

About NISS 2022

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/niss55057.2022.10085241

引用次数: 0

Towards Highly-Efficient k-Nearest Neighbor Algorithm for Big Data Classification 面向大数据分类的高效k近邻算法

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085013

H. I. Abdalla, A. Amer

{"title":"Towards Highly-Efficient k-Nearest Neighbor Algorithm for Big Data Classification","authors":"H. I. Abdalla, A. Amer","doi":"10.1109/NISS55057.2022.10085013","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10085013","url":null,"abstract":"the k-nearest neighbors (kNN) algorithm is naturally used to search for the nearest neighbors of a test point in a feature space. A large number of works have been developed in the literature to accelerate the speed of data classification using kNN. In parallel with these works, we present a novel K-nearest neighbor variation with neighboring calculation property, called NCP-kNN. NCP-kNN comes to solve the search complexity of kNN as well as the issue of high-dimensional classification. In fact, these two problems cause an exponentially increasing level of complexity, particularly with big datasets and multiple k values. In NCP-kNN, every test point’s distance is checked with only a limited number of training points instead of the entire dataset. Experimental results on six small datasets, show that the performance of NCP-kNN is equivalent to that of standard kNN on small and big datasets, with NCP-kNN being highly efficient. Furthermore, surprisingly, results on big datasets demonstrate that NCP-kNN is not just faster than standard kNN but also significantly superior. The findings, on the whole, show that NCP-kNN is a promising technique as a highly-efficient kNN variation for big data classification.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129686878","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

Sentiment analysis of students’ Facebook comments toward university announcements 学生在Facebook上对大学公告评论的情感分析

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10084994

Anoual El Kah, Imad Zeroual

{"title":"Sentiment analysis of students’ Facebook comments toward university announcements","authors":"Anoual El Kah, Imad Zeroual","doi":"10.1109/NISS55057.2022.10084994","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10084994","url":null,"abstract":"Students’ opinions are among the critical indicators to evaluate the university teaching process. However, due to the absence of an official online system in most universities that provides a mechanism for obtaining students’ opinions on several university announcements, most students use various social networks to express their feelings and provide their opinions toward these announcements. We present, through this paper, sentiment analysis of Facebook comments written in the Moroccan Arabic dialect. These comments reflect the opinions of students about university announcements during the COVID-19 pandemic, especially those related to teaching mode and ex-am planning. Then, the comments collected were cleaned, preprocessed, and manually classified into four categories, namely positive, neutral, negative, and bipolar. Further, data dimensionality reduction is applied using TF-IDF and Chi-square test. Finally, we evaluated the performance of three standard classifiers, i.e., Naïve Bayesian (NB), Support Vector Machines (SVM), and Random Forests (RF) using k-fold cross-validation. The results showed that the SVM-based classifier performs as well as the RF-based classifier regarding the classification’s accuracy and F1-score, while the NB-based classifier lags behind them.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129603008","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

Nature-inspired and sampling algorithm towards 3D path planning for autonomous vehicles: a review 面向自动驾驶汽车3D路径规划的自然启发和采样算法:综述

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085101

Walid Jebrane, Nabil El Akchioui

{"title":"Nature-inspired and sampling algorithm towards 3D path planning for autonomous vehicles: a review","authors":"Walid Jebrane, Nabil El Akchioui","doi":"10.1109/NISS55057.2022.10085101","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10085101","url":null,"abstract":"The biggest challenge to autonomous mobile robot navigation is planning an obstacle-free trajectory from an initial point to the target. All environments are prompt to change which arises obstacles that add more complexity to the autonomous navigation systems, especially for tasks such as parcel delivery, law enforcement, and first aid in urban areas. The most of current algorithms for autonomous system path planning are drawn from pre-existing models and focus mostly on Ground Autonomous Vehicles, employing 2D techniques that must be converted to 3D in the case of Aerial Vehicles. The race to solve those challenging tasks, over the past few decades, has led to a promising range of improved and hybrid robot path planning. The main objective of this article is to provide a comprehensive and conclusive review of two of the most successful three-dimensional robotic path planning algorithms developed in recent years. Each algorithm is investigated and evaluated in terms of time efficiency, executable area, and capacity to deal with both static and dynamic obstacles.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247617","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

Intelligent technology management based on patent topic modeling : *Note: Sub-titles are not captured in Xplore and should not be used 基于专利主题建模的智能技术管理:*注:Xplore中不捕获副标题，请勿使用

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085417

Mohamed Maskittou, Anass El Haddadi, Hayat Routaib

引用次数: 0

Public-Key Cryptography behind Blockchain Security 区块链安全背后的公钥加密

2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS) Pub Date : 2022-03-30 DOI: 10.1109/NISS55057.2022.10085236

Mohamed Fartitchou, Hanaa El Marraki, Lamyae Lafkir, Anissa Azzouz, K. Makkaoui, Z. E. Allali

引用次数: 2