发布求助
文献互助 智能选刊 最新文献

2022 International Conference on Intelligent Systems and Computer Vision (ISCV)最新文献

筛选
英文 中文
Malay lexical simplification model for non-native speaker 马来语非母语人士的马来语词汇简化模型
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806133
Salehah Omar, J. A. Bakar, Maslinda Mohd Nadzir, N. H. Harun, N. Yusoff
{"title":"Malay lexical simplification model for non-native speaker","authors":"Salehah Omar, J. A. Bakar, Maslinda Mohd Nadzir, N. H. Harun, N. Yusoff","doi":"10.1109/ISCV54655.2022.9806133","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806133","url":null,"abstract":"Vocabulary is an important language skill that can affect a person’s understanding of a sentence. Thus, lexical simplification is the task of converting difficult words into simpler words. It is to make it easier for the reader to understand the sentences. The biggest challenge in lexical simplification is to simplify the words needed without changing the meaning of the sentence. Past studies have shown that there are weaknesses in this task, where simple words are also identified as complex words. This issue has led to the simplification of unnecessary words. The purpose of the study is to produce a complex word identification model for the Malay language into words that are more easily understood by nonnative speakers. Experiments was performed on the appropriate features to obtain the required results. Machine learning was used to ensure the results were more accurate. This study is a novelty in text simplification of the Malay language in the field of Natural Language Processing (NLP) and may be used as a preprocessing tool to improve other tasks in NLP.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502733","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
DarSpeech: An Automatic Speech Recognition System for the Moroccan Dialect 摩洛哥语的自动语音识别系统
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806105
Omar Aitoulghazi, A. Jaafari, Asmaa Mourhir
{"title":"DarSpeech: An Automatic Speech Recognition System for the Moroccan Dialect","authors":"Omar Aitoulghazi, A. Jaafari, Asmaa Mourhir","doi":"10.1109/ISCV54655.2022.9806105","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806105","url":null,"abstract":"Due to the continuous increase of information and data, it has been proven that Automatic Speech Recognition (ASR) systems are more efficient and less expensive when it comes to a variety of important tasks, such as customer relationship management. However, the most complex and accurate speech recognition models are developed and implemented for languages in which data is highly available, such as English and French. This document proposes an automatic speech recognition system for the Moroccan dialect, a very low-resource language, that is spoken by almost every Moroccan citizen and adopted in many organizations that are both public and private. The proposed solution is based on a state-of-the-art architecture, named Deep Speech 2 by Baidu. We tested the model on 24 hours of speech and obtained 22.7% word error rate and 6.03% character error rate.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127453368","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 Decision-Making System for emergency service design and management during pandemic COVID-19 COVID-19大流行期间应急服务设计与管理决策系统
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806104
Khalil Bouramtane, S. Kharraja, J. Riffi, O. Elbeqqali
{"title":"A Decision-Making System for emergency service design and management during pandemic COVID-19","authors":"Khalil Bouramtane, S. Kharraja, J. Riffi, O. Elbeqqali","doi":"10.1109/ISCV54655.2022.9806104","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806104","url":null,"abstract":"The emergency response system has a record for being a shaky production system. The emergency response system is a dynamic environment due to the variability of the public’s needs, which has an influence on the required people and available resources.When a pandemic like COVID-19 occurs, emergency services will be faced with exponential growth in activities and an overpopulation of departments.In this paper, the study focused on the coupling of simulation and optimization, With the goal of lowering total trip expenses and rearrangement costs, we proposed a novel approach employing a Multi-Agent (MA) Decision Making System (DMS).","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123711026","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
Drone path optimization in complex environment based on Q-learning algorithm 基于q -学习算法的复杂环境下无人机路径优化
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806077
El Mehdi Ben Laoula, Omar Elfahim, M. Youssfi, O. Bouattane
{"title":"Drone path optimization in complex environment based on Q-learning algorithm","authors":"El Mehdi Ben Laoula, Omar Elfahim, M. Youssfi, O. Bouattane","doi":"10.1109/ISCV54655.2022.9806077","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806077","url":null,"abstract":"Path planning of intelligent agents in an emergency context is one of the most popular issues within nowadays context. This work proposes an environment acquisition and a path optimization solution based on reinforcement learning. The proposed solution implements Q-Learning algorithm and enables the agent to choose the path that maximizes the reward and minimizes the penalty. When tested in an experiment grid and compared to other solutions the proposed solution proved to be more stable and more efficient.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129094173","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
Prediction of Traffic Accidents using Random Forest Model 基于随机森林模型的交通事故预测
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806099
Imad El Mallahi, Asmae Dlia, J. Riffi, Mohamed Adnane Mahraz, H. Tairi
{"title":"Prediction of Traffic Accidents using Random Forest Model","authors":"Imad El Mallahi, Asmae Dlia, J. Riffi, Mohamed Adnane Mahraz, H. Tairi","doi":"10.1109/ISCV54655.2022.9806099","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806099","url":null,"abstract":"With the increasing trend of the accident rate, the number of casualties in humans has increased considerably over the past decades, which has led to the use of cameras, or fixed speed cameras to carry out their routine activities. In this paper, we focus on severity prediction of traffic accidents, which is a huge step in road accident management in the road. This problem provides important information for emergency logistical transportation in many cities. To evaluate the severity of road accidents in the crowded target, we evaluate the potential impact of the accident to realize effective accident management procedures. In this proposed study, we implement and compare some algorithms in machine learning such as Random Forest, Support Vector Machine, and Artificial Neural Network to classify and predict severity for Traffic accidents, and we presented the confusion matrix to specify the impact of different classes on each other for: Pedestrian, Vehicle or pillion passenger, or Driver or rider to validate this experimentation. In the numerical example we use the TRAFFIC ACCIDENTS_2019_LEEDS data from the Road Safety of department Transport to classify the Severity prediction for Traffic accidents into three classes: Pedestrian, vehicle or pillion passenger, and driver or rider to have a 93% accuracy for Random Forest compared to 82% for SVM and 87 for ANN, and at the level of precision recall we also have 93.82% for Random Forest compared to 82.22% for SVM and 87.88% for ANN.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132331065","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
Physics mathematization: Teachers’ observations on the application of ICT. 物理数学化:教师对ICT应用的观察。
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806103
Abdelwahab El Azzouzi, F. Kaddari, A. Elachqar
{"title":"Physics mathematization: Teachers’ observations on the application of ICT.","authors":"Abdelwahab El Azzouzi, F. Kaddari, A. Elachqar","doi":"10.1109/ISCV54655.2022.9806103","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806103","url":null,"abstract":"In recent decades, the field of physics and mathematics has developed more than before. But learners cannot use their knowledge between these two subject areas. In the present work, we propose to analyze the observations of high school physics teachers about the mathematization of physics by applying Information and Communication Technologies (ICT). The study was conducted among 140 physics teachers in the Fez-Meknes region of Morocco. The teachers emphasized that students need to integrate Information and Communication Technologies (ICT) into the mathematization of physics. But the majority of them do not have clear ideas on how to do so despite suggesting some integration or linked techniques.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132535562","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: 4
Recognition System Of Human Activities Based On Time-Frequency Features Of Accelerometer Data 基于加速度计数据时频特征的人体活动识别系统
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806107
Yiwei Xia, Junxian Ma, Chuyue D. Yu, X. Ren, Boriskevich Anatoliy Antonovich, V. Tsviatkou
{"title":"Recognition System Of Human Activities Based On Time-Frequency Features Of Accelerometer Data","authors":"Yiwei Xia, Junxian Ma, Chuyue D. Yu, X. Ren, Boriskevich Anatoliy Antonovich, V. Tsviatkou","doi":"10.1109/ISCV54655.2022.9806107","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806107","url":null,"abstract":"With the development of Micro-Electro-Mechanical System, wearable sensor-based human activity recognition systems have important applications in various fields such as health management, motion analysis, military and industry. In this paper, we propose a time-frequency features extraction method based on wavelet transform, which extracts 5 time-frequency features, namely wavelet entropy, wavelet energy, wavelet waveform length, wavelet coefficient variance and wavelet coefficient standard deviation. The experimental results are evaluated on the publicly available benchmark WISDM dataset including accelerometer data. Our model achieves 99.2%, 99.1% and 95.6% test accuracy on Subspace KNN, Bagged tree and Gaussian SVM respectively.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127829165","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
On The Formalization of The TOGAF Content MetaModel Using Ontologies 基于本体的TOGAF内容元模型形式化研究
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806063
Bouchra El Idrissi, Chadia Tetou, Karim Doumi
{"title":"On The Formalization of The TOGAF Content MetaModel Using Ontologies","authors":"Bouchra El Idrissi, Chadia Tetou, Karim Doumi","doi":"10.1109/ISCV54655.2022.9806063","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806063","url":null,"abstract":"Ontology, when well designed, provides a semantic model that facilitates human interpretation of models and reduces their ambiguity and complexity. A formal-based standards ontology can be processed automatically by computer programs, providing several benefits such as automatic knowledge discovery and inference, inconsistency detection, and interoperability. Several frameworks have been developed to control the complexity of the enterprise architecture. This paper focuses on the TOGAF framework and precisely on its content metamodel. It analyses and discusses the reported approaches to its formalization using ontologies. Additionally, it proposes some possible future directions to improve this work and enhance its adoption by the industrial world and academic communities.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125223098","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
Face information forensics analysis based on facial aging: A Survey 基于面部老化的人脸信息取证分析研究进展
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806126
Marem H. Abdulabas, Noor D. Al-Shakarchy
{"title":"Face information forensics analysis based on facial aging: A Survey","authors":"Marem H. Abdulabas, Noor D. Al-Shakarchy","doi":"10.1109/ISCV54655.2022.9806126","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806126","url":null,"abstract":"Face recognition systems are now confronted with the problem of “aging”. The difficulty arises from age-related biological changes, which might result in considerable differences in face traits between two photographs obtained at various ages of the same individual. Because the face is the area of the body that is most impacted by aging, the extraction of strong facial traits for age-invariant face recognition is becoming increasingly important, especially when there are huge age disparities between the same person’s face photos. Face Age Progression (FAP) is the process of synthesizing face photos while simulating aging processes to anticipate an individual’s future look. The production of age-progressed face photographs has advantages for a variety of applications; Face recognition methods, private investigators, and entertainment content are just a few examples, particularly for recognizing and protecting missing abducted children using childhood photographs or Alzheimer’s people. Deep generative networks’ success recently, in particular, has considerably improved the maturity level of face’s qualities pictures about visual clarity, aging correctness, as well as identity preservation. This paper present a comparison of contemporary approaches to face age growth deep learning-based for both adulthood and youth face aged, face age progression FAP is classified into three rising concepts: translation-based, condition-based, & sequence-based. This paper provides a complete overview of one of the most frequently used methods of achievement assessment and a comprehensive list of available datasets.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708581","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
Monitoring Photovoltaic Panels Using the ESP32 Microcontroller via low-power Bluetooth Communication 利用ESP32单片机通过低功耗蓝牙通信监控光伏板
2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI: 10.1109/ISCV54655.2022.9806084
Zaidan Didi, Ikram Azam
{"title":"Monitoring Photovoltaic Panels Using the ESP32 Microcontroller via low-power Bluetooth Communication","authors":"Zaidan Didi, Ikram Azam","doi":"10.1109/ISCV54655.2022.9806084","DOIUrl":"https://doi.org/10.1109/ISCV54655.2022.9806084","url":null,"abstract":"In In this paper, we propose a method based on Internet of Objects technology to transmit and monitor in real-time the main parameters of a photovoltaic panel thanks to a low communication Bluetooth communication link, this research mainly consists in integrating and taking full advantage of the ESP32 microcontroller as well as the current sensor and a Bluetooth module. In our study, we will create and initialize a low-consumption Bluetooth communication link to transmit the main parameters of a photovoltaic panel to a paired smartphone device via this Bluetooth link. As the first step in our study, we will use a current sensor to measure the exact value of the intensity of the electric current flowing from the photovoltaic panel, note here, that to reduce measurement errors, we will integrate a voltage divider instead of a voltage sensor to measure the voltage between the terminals of the photovoltaic panel. Then we will use the measured quantities to calculate the other two quantities (power and energy).Finally, we are going to send the four quantities in real-time via this low consumption Bluetooth communication. Note that for better readability, the different values sent are displayed on an LCD screen and the ESP32 serial monitor as well as on a paired smartphone device that receives the data.On the other hand, our project has been implemented and tested with efficiency and without any errors, which shows that our design has succeeded in transmitting data through this low consumption Bluetooth link.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810172","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信