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2021 International Conference on Information Systems and Advanced Technologies (ICISAT)最新文献

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Intrusion Detection Systems using Data Mining Techniques: A comparative study 使用数据挖掘技术的入侵检测系统:比较研究
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678485
Mohamed Haddadi, Abdelhamid Khiat, Nacera Bahnes
{"title":"Intrusion Detection Systems using Data Mining Techniques: A comparative study","authors":"Mohamed Haddadi, Abdelhamid Khiat, Nacera Bahnes","doi":"10.1109/ICISAT54145.2021.9678485","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678485","url":null,"abstract":"Data mining tools are widely used in computer networks. The well-known and mostly used tools to secure computers and network systems are WEKA and TANAGRA. The purpose of this study is to compare these two tools in terms of detection accuracy and computation time. This comparison was conducted using a well-known NSL-KDD dataset. Experiments show that TANAGRA achieves better results than WEKA in detection accuracy. But, TANAGRA is competitive with WEKA in terms of computation time.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672755","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
Predicting and Staging Chronic Kidney Disease using Optimized Random Forest Algorithm 使用优化随机森林算法预测和分期慢性肾脏疾病
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678441
Sarra Samet, Mohamed Ridda Laouar, Issam Bendib
{"title":"Predicting and Staging Chronic Kidney Disease using Optimized Random Forest Algorithm","authors":"Sarra Samet, Mohamed Ridda Laouar, Issam Bendib","doi":"10.1109/ICISAT54145.2021.9678441","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678441","url":null,"abstract":"The silent killer Chronic Kidney Disease (CKD) in wealthy countries and listed with the leading causes of death in impoverished countries. Because of its rising incidence, CKD is included in the most serious public health problems. It is apparent that early detection of CKD may reduce the severity of damage in maturity. The patient must go to a diagnostic facility and consult with a doctor. This significant issue has been solved with the introduction of machine learning. This study’s main objective is to build a model that can reliably predict a person’s risk of acquiring CKD. Data mining and machine learning techniques have been widely employed for forecasting chronic renal disease, but little research has been done mixing imputation approaches at the pre-processing stage and feature selection strategy so that classification accuracy will be enhanced. The CKD Database, which is used in the experiments and consists of 400 records with 25, is accessible through UCI’s machine learning repository. It does, however, have a large number of missing values, which is why we proposed combining several missing data imputation strategies to solve the problem. The chi-square test was used to select features in this work. A supervised machine learning classification model called Random Forest (RF) is utilized and optimized with gridsearch to diagnose CKD at an early stage. Following a cross-validation procedure with 5 folders, several metrics were utilized to evaluate the model. Our RF had a 99.24% accuracy. The model’s best result is created by considering the 10 best-selected features. When compared to previous studies, our results are among the best for assessment metrics and the ranking accuracy. However, with only fewer features. In practice, some decision assistance for renal illness’ diagnosis, prevention, and prediction are provided by this study.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133194797","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
In-Depth Métan- Search Engine 深入的msamtan -搜索引擎
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678494
Belabed Mourad, Dennai Abdeslam
{"title":"In-Depth Métan- Search Engine","authors":"Belabed Mourad, Dennai Abdeslam","doi":"10.1109/ICISAT54145.2021.9678494","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678494","url":null,"abstract":"The use of search engines is one of the most popular online activities. In addition, users generally receive good results and relatively high confidence in the ability of search engines.The primary objective of this paper is to provide a model for researching and collecting web pages and relevant information at the user’s request.Sometimes when a search query is sent by a user, the use of several search engines creates a difference in the search results on the one hand and a wealth of quality and the quantity of these results at the same time.Experts in this field have confirmed that the relevant search results obtained from a meta-search engine has made substantial progress.In order to improve these meta-search engines, we propose a new model by detailing and optimizing the results of a metasearch (the search for a search) by the duplicate of the search in a precise way and by dissecting a result in several search results until exhaustion of this research search.Repeating this search of search gives birth to a new concept that is «Métan-Search».","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018158","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
Image forgery detection review 图像伪造检测审查
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678207
Hiba Benhamza, Abdelhamid Djeffal, A. Cheddad
{"title":"Image forgery detection review","authors":"Hiba Benhamza, Abdelhamid Djeffal, A. Cheddad","doi":"10.1109/ICISAT54145.2021.9678207","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678207","url":null,"abstract":"With the wide spread of digital document use in administrations, fabrication and use of forged documents have become a serious problem. This paper presents a study and classification of the most important works on image and document forgery detection. The classification is based on documents type, forgery type, detection method, validation dataset, evaluation metrics and obtained results. Most of existing forgery detection works are dealing with images and few of them analyze administrative documents and go deeper to analyze their contents.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883874","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
Cellular Automata for Edge Detection Based on Twenty-Five Cells Neighborhood 基于25元邻域的元胞自动机边缘检测
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678447
Safia Djemame
{"title":"Cellular Automata for Edge Detection Based on Twenty-Five Cells Neighborhood","authors":"Safia Djemame","doi":"10.1109/ICISAT54145.2021.9678447","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678447","url":null,"abstract":"Cellular Automata is a complex system that has been widely and successfully utilized in image processing to handle tasks such as edge detection, noise filtering, enhancement, smoothing, feature selection, thinning, convex hulls, and so on. A novel edge detection approach based on Cellular Automata is provided in this study. To cope with the challenge of edge detection, an extended Moore neighborhood is investigated. The proposed edge detector is evaluated on a variety of images. The resulting findings are compared to those obtained using the Canny, Sobel, Laplacian, and Scharr edge detection techniques. The quality of the produced edges is measured using fitness functions such as RMSE and SSIM. In addition, the execution time is compared. Experiments show that the proposed strategy produces excellent outcomes.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128728419","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
Arabic Handwritten Text to Line Segmentation 阿拉伯手写文本到线分割
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678458
Fariza Meziani, Lallouani Bouchakour, Khadidja Ghribi, Mustapha Yahiaoui, H. Latrache, Mourad Abbas
{"title":"Arabic Handwritten Text to Line Segmentation","authors":"Fariza Meziani, Lallouani Bouchakour, Khadidja Ghribi, Mustapha Yahiaoui, H. Latrache, Mourad Abbas","doi":"10.1109/ICISAT54145.2021.9678458","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678458","url":null,"abstract":"Text to line segmentation is a crucial phase in character recognition system since segmentation errors affects the recognition accuracy. In this work we present a novel and simple method for Arabic handwritten text images segmentation into text-lines. After converting the gray scale images to binary ones, we combine in this proposed method three approaches based on horizontal projection profile (HPP), on connected components (CC) and on skeleton. Firstly, we apply the smoothed horizontal projection profile to detect approximately the beginning and the end of each line. Then, we identify the connected components in each line basing on computing their centroids in order to cluster them to form an individual text-line. Finally, in case there are vertically touching characters, we use the skeleton to separate them by calculating its intersection point. The experiments are performed with 100 text images from the database Khatt. This approach is evaluated by the MatchScore criterion. The obtained results prove the efficiency of our method.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122008988","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
New design of miniature rectangular patch antenna with DGS for 5G mobile communications 5G移动通信用DGS微型矩形贴片天线新设计
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678464
Fatima Zahra Moussa, Souheyla Ferouani, Y. Belhadef, Ghouti Abdellaoui
{"title":"New design of miniature rectangular patch antenna with DGS for 5G mobile communications","authors":"Fatima Zahra Moussa, Souheyla Ferouani, Y. Belhadef, Ghouti Abdellaoui","doi":"10.1109/ICISAT54145.2021.9678464","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678464","url":null,"abstract":"Abstract-The purpose of this paper is miniaturization of a new form of slot rectangular patch antenna for 5G mobile networks at 3.5GHz frequency. We used a FR4 substrate with a permittivity $varepsilon {mathrm {r}}=4.3$ and a thickness ${mathrm {h}}=1.5 mathrm{mm}$. The reflection coefficient S11 obtained is -17.22 dB at the frequency 3.5 GHz with 2.7 dB of gain. The DGS technique was used for bandwidth enhancement, we obtained a bandwidth of 449 MHz. The size of the proposed miniature patch antenna is $(20.32 * 15.25 * 1.5) mathrm{mm}^{3}$. The miniaturization rate obtained is 42%. The simulation results are very satisfactory and the proposed antenna is easy to design and implement in 5G cell phones.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116461009","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
Gastrointestinal image classification based on VGG16 and transfer learning 基于VGG16和迁移学习的胃肠图像分类
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678481
Benkessirat Amina, B. Nadjia, Beghdadi Azeddine
{"title":"Gastrointestinal image classification based on VGG16 and transfer learning","authors":"Benkessirat Amina, B. Nadjia, Beghdadi Azeddine","doi":"10.1109/ICISAT54145.2021.9678481","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678481","url":null,"abstract":"Investigational procedures and medical diagnosis can be greatly improved by opting for detecting automatically abnormalities and anatomical landmarks in medical images. However, this remains a challenging task and still unexplored field. This paper aims to investigate the capabilities of a pretrained deep convolutional neural network VGG-16 model for images categorization with transfer learning containing anatomical landmarks, pathological finding and endoscopic procedures. Data augmentation is also performed to highlight the importance of data size for deep models. The accuracies achieved before and after data augmentation are 96.9% and 98.8% respectively.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709083","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
Geographic Routing Protocol with Data Aggregation in Vehicular Ad-hoc Networks (VANETs) 车辆自组织网络(VANETs)中具有数据聚合的地理路由协议
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678438
Abdelkrim Houacine, Mustapha Guezouri
{"title":"Geographic Routing Protocol with Data Aggregation in Vehicular Ad-hoc Networks (VANETs)","authors":"Abdelkrim Houacine, Mustapha Guezouri","doi":"10.1109/ICISAT54145.2021.9678438","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678438","url":null,"abstract":"Unlike MANET (Mobil Ad Hoc Network), VANETs (Vehicular Ad Hoc Networks) are characterized by an unlimited number of vehicles can be equal to millions of vehicles and a high mobility. The objective of developing VANETs is to improve ITS (Intelligent Transportation Systems) in terms of road safety and efficiency in the transport field. Traditional routing protocols (packet based) used for MANETs (Mobile Ad hoc Networks) does not satisfy the routing requirements in VANETs due to high speed of vehicles. In this work we propose a routing protocol with data aggregation for VANETs, where we invoke the based point geographic routing and data aggregation. The results of our simulation with SUMO and NS-3 show that our approach can help to reduce network overload by aggregating road traffic reports without maintaining a hierarchical structure.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132970188","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
Silence Detection and Removal Method Based on the Continuous Average Energy of Speech Signal 基于语音信号连续平均能量的沉默检测与去除方法
2021 International Conference on Information Systems and Advanced Technologies (ICISAT) Pub Date : 2021-12-27 DOI: 10.1109/ICISAT54145.2021.9678476
Abderrahmane Adjila, Maamar Ahfir, D. Ziadi
{"title":"Silence Detection and Removal Method Based on the Continuous Average Energy of Speech Signal","authors":"Abderrahmane Adjila, Maamar Ahfir, D. Ziadi","doi":"10.1109/ICISAT54145.2021.9678476","DOIUrl":"https://doi.org/10.1109/ICISAT54145.2021.9678476","url":null,"abstract":"The speech signal processing is a very important domain in digital signal processing. This is because a variety of noise signals could degrade the original speech signal and make it unclear to user. This paper contributes to the literature by suggesting a method to detect and remove silence from the original speech signal based on the continuous average energy of the signal. Deleting the silence and voiceless segments from the speech signal are very beneficial to growth the overall performance and accuracy of the system in many domains of applications such as speech recognition and automatic speech segmentation. The results for a database which contains English, Arabic and French speech signals shows a better performance and robustness in noisy environment. The proposed method also has a less complexity compared to the recent method based on multi-scale product and its spectral centroid. In this research work the performance is evaluated using MATLAB tool.","PeriodicalId":112478,"journal":{"name":"2021 International Conference on Information Systems and Advanced Technologies (ICISAT)","volume":"41 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132083676","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
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