2021 International Congress of Advanced Technology and Engineering (ICOTEN)最新文献_第7页

Sentiment Analysis of Arabic Tweets Related to COVID-19 Using Deep Neural Network 基于深度神经网络的新冠肺炎相关阿拉伯语推文情感分析

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493467

N. Alharbi, J. H. Alkhateeb

{"title":"Sentiment Analysis of Arabic Tweets Related to COVID-19 Using Deep Neural Network","authors":"N. Alharbi, J. H. Alkhateeb","doi":"10.1109/ICOTEN52080.2021.9493467","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493467","url":null,"abstract":"Along with the Coronavirus pandemic, several other severe crises also spiraled worldwide. Different industries are getting irreparable scathed and many organizations succumbed to this havoc. There is an inevitable need to analyze different trends going on social media platforms to alleviate the fear and misconceptions among public. The research plays out a thorough investigation on the emotional directions of the Arabic public dependent on social media using Twitter platform particular. We have extracted data from Twitter from November 2020 to January 2021.There are tweets from different cities of Arab. Natural language processing NLP and Machine learning ML capabilities are used to analyze whether an opinion's sentiment is positive, negative, or neutral. This research scrapes around Arabic tweets and then after manual annotation to classify the tweets into different sentiments like negative, positive, neutral, etc. This research use TFIDF and word embedding as a feature vector and then use Long Short-Term Memory and Naïve Bayes as classification. This work using two advanced machine learning methods, present a learned long short term memory LSTM model and a Nave Bayes model on the collected tweets. In addition, compare the performance of the Nave Bayes and LSTM models. In comparison with the Naïve Bayes the LSTM model performs better with an accuracy of 99%. The work analysis helps different Government and private organizations to understand public sentiments, their behavior towards this pandemic and then act make strategic decisions accordingly. In addition, this research focuses on data visualization by displaying a sentiment plot and a word cloud.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116353080","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

Vibration analysis for defective bearings by blind source separation 基于盲源分离的缺陷轴承振动分析

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493532

M. L. Cherrad, H. Bendjama, T. Fortaki

引用次数: 0

A case study in the use of attack graphs for predicting the security of cyber-physical systems 使用攻击图预测网络物理系统安全性的案例研究

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493452

C. Few, James Thompson, Kenny Awuson-David, Tawfik Al-Hadhrami

{"title":"A case study in the use of attack graphs for predicting the security of cyber-physical systems","authors":"C. Few, James Thompson, Kenny Awuson-David, Tawfik Al-Hadhrami","doi":"10.1109/ICOTEN52080.2021.9493452","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493452","url":null,"abstract":"Cyber-attacks increasingly threaten Cyber-Physical Systems (CPS). Recent examples are attacks on a Florida water plant control system and firewalls protecting several Western U.S. electricity grid operators. Techniques for rigorously analysing the cybersecurity of CPS without the risk of disrupting their operations are therefore of increasing interest to CPS operators and regulators. Meanwhile, attack graphs have long been studied by researchers as a means of analysing the cybersecurity of both information and control systems. In this paper, we present a case study on the use of attack graphs for predicting the cybersecurity of a CPS within the critical national infrastructure. It explains how the attack graph was developed and analysed using existing system documentation, computer-aided techniques and human analysis. In this case study human cyber analysts with good knowledge of the CPS considered the automated predictions of the most exploitable attack paths to be credible. This enabled a detailed and evidenced analysis of the minimum level of cyber-attacker sophistication needed to compromise the CPS. The case study has evidenced that this style of CPS analysis could be used either during system design or whilst in operational use.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366456","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: 6

Computational Thinking Work System Method: A problem-solving method for small and medium enterprises 计算思维工作系统方法:一种适用于中小企业的问题解决方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493465

Ahmad Najmi Amer Haider Nuar, M. Z. A. Rozan, M. Bahari

引用次数: 1

Text Mining Life Cycle for a Spatial Reading of Viet Thanh Nguyen's The Refugees (2017) 阮越清《难民》(2017)空间阅读的文本挖掘生命周期

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493520

Esraa Faisal Malik, Pantea Keikhosrokiani, Moussa Pourya Asl

{"title":"Text Mining Life Cycle for a Spatial Reading of Viet Thanh Nguyen's The Refugees (2017)","authors":"Esraa Faisal Malik, Pantea Keikhosrokiani, Moussa Pourya Asl","doi":"10.1109/ICOTEN52080.2021.9493520","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493520","url":null,"abstract":"Textual analysis is traditionally used by literary critics as a central methodology to interpret creative writings, however this method is significantly affected by human-error, which cause the failing to offer one correct interpretation of the text. As an example, the Vietnamese-American writer Viet Thanh Nguyen’s short story collection The Refugees (2017) has received opposing critical receptions: Whereas some critics applaud the stories for their truthful representations of the two countries, others criticize them for their biased depictions. This study aims to demonstrate how text mining can offer a more objective analysis of the representation of the two main countries in the selected stories. We propose a Big Data Analytics lifecycle that consider two empirical methods. The first method used N-grams, while the second method propose sentiment analysis using lexicon dictionary. The study revealed that text mining is useful in discovering the hidden pattern of textual data and resolving the problem of human error that occurs in performing the analytics manually.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125635991","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

Energy Demand Estimation of Electric Buses Considering Dynamic Wireless Charging Technology 考虑动态无线充电技术的电动公交车能源需求估算

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493493

Yaseen Alwesabi, N. Mohammed, Ala Al-Shargabi, Yong Wang

{"title":"Energy Demand Estimation of Electric Buses Considering Dynamic Wireless Charging Technology","authors":"Yaseen Alwesabi, N. Mohammed, Ala Al-Shargabi, Yong Wang","doi":"10.1109/ICOTEN52080.2021.9493493","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493493","url":null,"abstract":"The conversion from petroleum-fueled buses to electric buses (EBs) is regarded to limit damage to the environment from the widespread use of gasoline and diesel fuel. Several factors play important role in estimating the energy demand of EBs, such as vehicle mass, speed profile, energy efficiency rate, and road information. In the literature, validation of the analytical energy demand model of an EB is rarely reported. Large EB mass affects energy demand efficiency, which leads to higher consumption. This paper initially provides a comprehensive review of widely used energy demand models in EB systems. Using real-world data-driven from manufacturer test reports in the USA, a simple, practical, and validated mathematical model is derived to estimate the energy demand of EBs. Furthermore, the problem of computing the energy demand when EB battery size is a decision variable is addressed. To understand the energy demand system, the impact of efficiency rate and vehicle mass on the overall demand is also investigated. The influence of energy demand on optimization systems of dynamic wireless charging planning of EBs is investigated. The results show that a higher energy demand efficiency rate leads to lower consumption, overall cost reduction, battery size decline, and shorter dynamic charging facility.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130423352","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

A GIS-based Mobile Application to Improve Tourism Experience: A Case Study of Terengganu, Malaysia 基于gis的移动应用提升旅游体验:以马来西亚丁加奴为例

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493443

Ashley Wang Sze Mei, Pee Ling Hong, Pantea Keikhosrokiani, Chong Hui Xin, Tan Xue Ying, N. Samat

引用次数: 1

Management of Uncertain Spatial Information 不确定空间信息的管理

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493455

Manel Chehibi, Ahlem Ferchichi, I. Farah, A. Hadjali

引用次数: 0

A systematic approach for evaluating the accuracy of overhead line fault location using the traveling wave method 用行波法评价架空线路故障定位精度的系统方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493553

Daw Saleh Sasi Mohammed, A. Emhemed, Hawa Ayad Alsanousi, Abusaif. S. Abdulalli, M. Mustafa

引用次数: 0

An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan 一种集成机器学习模型用于研究苏丹COVID-19潜在患者识别的筛选系统

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493517

Ali A. Adam, Nihad A. A. Elhag, Fakhreldeen Abbas Saeed, Mohamed Yagob, Fayha Mohamed, N. Eassa, Hanaa S. Abdalaziz, M. Ahmed, S. Babiker

{"title":"An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan","authors":"Ali A. Adam, Nihad A. A. Elhag, Fakhreldeen Abbas Saeed, Mohamed Yagob, Fayha Mohamed, N. Eassa, Hanaa S. Abdalaziz, M. Ahmed, S. Babiker","doi":"10.1109/ICOTEN52080.2021.9493517","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493517","url":null,"abstract":"This study aims at designing an ensemble Machine Learning Model to serve as a screening system to predict the potential of COVID-19 infection. according to specific parameters, it considers an online survey filled by 5966 participants from Khartoum City since Khartoum was under quarantine. Major statistical approaches were implemented as data cleaning, performing feature selection using Random Forest algorithm to elect the proper features, and finally, building the model on two parts: the first one used K-mode clustering algorithm whereas the second utilized Support Vector Classifier (SVC). The features included symptoms, age, underlying conditions, geographical location, the period of the symptoms, close contact with someone who has confirmed a case of coronavirus, and the number of deaths among the family members. The results indicated that the overall accuracy of the K-mode Part was 71 %; however, the sensitivity to predict cases as negative was 77%, while the accuracy of SVC Part was 76 %. The identity between predictions of the two Parts was 79%. The work concluded that the symptoms in the proposed Screen system – considering the highest weight- appeared as following: Fatigue, Headache, Fever, Gastrointestinal Disorders, Anosmia, Dry Cough, Short of Breath, and Chest Pain, respectively","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"84 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122637990","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