2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)最新文献_第4页

Two-scale Algorithm to Plan Coverage Paths for Multi-UAVs 多无人机覆盖路径规划的双尺度算法

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378755

Abdelwahhab Bouras, Y. Bouzid, M. Guiatni

引用次数: 2

A New Stochastic Petri Nets Modeling for Dual Cluster Heads Configuration in Energy-Harvesting WSNs 能量收集WSNs双簇头结构的随机Petri网模型

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378741

Oukas Nourredine, Menouar Boulif

引用次数: 5

An Improved Simulated Annealing Algorithm for Optimization of Protein Folding Problem 蛋白质折叠问题优化的一种改进模拟退火算法

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378742

Nabil Boumedine, S. Bouroubi

引用次数: 1

Human shadow: remote monitoring system 人影:远程监控系统

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378713

Belkhir Maria, B. Abdelkader, Bouyakoub Samia, Laroui Meriem

引用次数: 0

Feature Importance Evaluation of Smartphone Touch Gestures for Biometric Authentication 智能手机触摸手势生物识别认证特征重要性评估

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378750

Youcef Ouadjer, M. Adnane, Nesrine Bouadjenek

引用次数: 5

Fake News detection Using Machine Learning 利用机器学习检测假新闻

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378748

Nihel Fatima Baarir, Abdelhamid Djeffal

{"title":"Fake News detection Using Machine Learning","authors":"Nihel Fatima Baarir, Abdelhamid Djeffal","doi":"10.1109/IHSH51661.2021.9378748","DOIUrl":"https://doi.org/10.1109/IHSH51661.2021.9378748","url":null,"abstract":"The phenomenon of Fake news is experiencing a rapid and growing progress with the evolution of the means of communication and Social media. Fake news detection is an emerging research area which is gaining big interest. It faces however some challenges due to the limited resources such as datasets and processing and analysing techniques. In this work, we propose a system for Fake news detection that uses machine learning techniques. We used term frequency-inverse document frequency (TF-IDF) of bag of words and n-grams as feature extraction technique, and Support Vector Machine (SVM) as a classifier. We propose also a dataset of fake and true news to train the proposed system. Obtained results show the efficiency of the system. In this work, we propose a system for Fake news detection that uses machine learning techniques. We used term frequency-inverse document frequency (TF-IDF) of bag of words and n-grams as feature extraction technique, and Support Vector Machine (SVM) as a classifier. We propose also a dataset of fake and true news to train the proposed system. Obtained results show the efficiency of the system.","PeriodicalId":127735,"journal":{"name":"2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132013043","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

Single channel EMG classification using DWT and SVM 基于DWT和SVM的单通道肌电信号分类

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378707

Cherrih Hachemi, M. Talha, Hadjer Zairi, Karim Meddah

引用次数: 5

EMG & EIMG measurement for Arm & Hand motions using custom made instrumentation based on Raspberry PI 使用基于树莓派的定制仪器进行手臂和手部运动的肌电和脑电图测量

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378716

Abdelakram Hafid, S. Benouar, Hachemi Cherrih, Benayad Ali, M. Talha

引用次数: 1

Decision-making based on decision tree for ball bearing monitoring 基于决策树的滚珠轴承监测决策

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378734

Riadh Euldji, Mouloud Boumahdi, M. Bachene

{"title":"Decision-making based on decision tree for ball bearing monitoring","authors":"Riadh Euldji, Mouloud Boumahdi, M. Bachene","doi":"10.1109/IHSH51661.2021.9378734","DOIUrl":"https://doi.org/10.1109/IHSH51661.2021.9378734","url":null,"abstract":"The vibrations produced by rotating machines affect people and the environment in many ways. They affect comfort, work capacity, health, and safety. For this, condition monitoring is an indispensable tool to track the evolution of vibrations. In the condition monitoring process of rotating machines, maintenance decision-making is subject to constraints relating to the lack of performance of the material resources and the unavailability of experts in the field on the sites, and sometimes the inability of these experts to make a decision. For this reason, a methodology based on two approaches: the vibration analysis and the decision tree to model of the decision-making is proposed. A set of data is collected from vibration signals analysis taken from a set of experiments performed on ball bearings. Then a classification algorithm is applied to build the decision tree. Finally, expert rules are extracted. These rules will be used in the development of a decision-making system, called an expert system. The effectiveness of the proposed methodology is demonstrated in this study.","PeriodicalId":127735,"journal":{"name":"2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115054880","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

A generic classification of learner's emotion in educational serious games into positive vs. negative dimension 教育性严肃游戏中学习者情绪的积极与消极维度的一般分类

2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) Pub Date : 2021-02-09 DOI: 10.1109/IHSH51661.2021.9378709

Belkacem Mostefai, Amar Balla, Phillipe Trigano

{"title":"A generic classification of learner's emotion in educational serious games into positive vs. negative dimension","authors":"Belkacem Mostefai, Amar Balla, Phillipe Trigano","doi":"10.1109/IHSH51661.2021.9378709","DOIUrl":"https://doi.org/10.1109/IHSH51661.2021.9378709","url":null,"abstract":"In the educational Serious Games (SGs) context, a pre-requested step to enable emotion-based adaptation during the player-game interaction is the classification of the learner's emotional states into positive vs. negative dimension. Negative emotions mean undesirable emotions that restrain play and have a negative effect on the playing and the learning outcomes. Positive emotions mean desirable emotions that improve play and have a positive effect on the playing and learning outcomes. Therefore, in order to keep the learner engaged, the emotion-based adaptation should be tailored to maximize positive emotions and reduce negative ones. In both education and video game literature, there are many studies about the positive and negative aspects of the emotional states. However, most of the studies on SGs do not take into account the classification of the learner's emotions into a positive and a negative aspect. In order to provide that, this paper contributes a generic classification of learner's emotions in educational SGs. We start by analyzing positive and negative dimension of the learner's (student's) emotions under the educational context. Then, we inspect the learner's (player's) emotional states in the video games context. Finally, we examine emotion in both contexts in order to identify positive and negative emotional states at the learner in the educational SGs context.","PeriodicalId":127735,"journal":{"name":"2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111089","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