2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献_第4页

Variable Frequency Control of MPTT using Two-Stage Grid Converters -Integrated Photovoltaic System 基于两级电网变流器的MPTT变频控制-集成光伏系统

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765908

Mokhtar Abbassi, Abdelkarim Aouiti, F. Bacha

引用次数: 2

Modeling and Path Following Control of a Coaxial Helicopter 同轴直升机建模与路径跟踪控制

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765936

Helmi Abrougui, Ayoub Neffati, S. Nejim

引用次数: 0

Multi criteria analysis of multi-sources photovoltaic electrical structures in isolated sites 孤立场所多源光伏电结构的多准则分析

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765888

Imen Azzouz, Inès Hammami, Kais Brik, F. B. Ammar

引用次数: 1

SVM-FL-DTC Control Induction Motor Drives Fed by Indirect Matrix Converter SVM-FL-DTC间接矩阵变换器控制异步电动机驱动

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765881

Abdessami Soyed, Abdelkarim Aouiti, O. Hasnaoui, F. Bacha

引用次数: 4

Statistical modeling for the prediction of survival rate in a neurodegenerative disease 预测神经退行性疾病存活率的统计模型

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765831

Tasnime Hamdeni, Soufiane Gasmi, M. Sayadi, J. Ginoux

引用次数: 1

A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks 利用机器学习检测SQLi攻击的新方法

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765948

Ahmed Abadulla Ashlam, A. Badii, Frederic T. Stahl

{"title":"A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks","authors":"Ahmed Abadulla Ashlam, A. Badii, Frederic T. Stahl","doi":"10.1109/IC_ASET53395.2022.9765948","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765948","url":null,"abstract":"The increasing use of Information Technology applications in the distributed environment is increasing security exploits. Information about vulnerabilities is also available on the open web in an unstructured format that developers can take advantage of to fix vulnerabilities in their IT applications. SQL injection (SQLi) attacks are frequently launched with the objective of exfiltration of data typically through targeting the back-end server organisations to compromise their customer databases. There have been a number of high profile attacks against large enterprises in recent years. With the ever-increasing growth of online trading, it is possible to see how SQLi attacks can continue to be one of the leading routes for cyber-attacks in the future, as indicated by findings reported in OWASP. Various machine learning and deep learning algorithms have been applied to detect and prevent these attacks. However, such preventive attempts have not limited the incidence of cyber-attacks and the resulting compromised database as reported by (CVE) repository. In this paper, the potential of using data mining approaches is pursued in order to enhance the efficacy of SQL injection safeguarding measures by reducing the false-positive rates in SQLi detection. The proposed approach uses CountVectorizer to extract features and then apply various supervised machine-learning models to automate the classification of SQLi. The model that returns the highest accuracy has been chosen among available models. Also a new model has been created PALOSDM (Performance analysis and Iterative optimisation of the SQLI Detection Model) for reducing false-positive rate and false-negative rate. The detection rate accuracy has also been improved significantly from a baseline of 94% up to 99%.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"32 1","pages":"513-517"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82609291","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

Metrological map of a fleet of equipment a metrology laboratory: application of weight method according to FDX-07-014 计量实验室一组设备的计量图:根据FDX-07-014的重量法的应用

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765894

N. Fezai, A. Jouini, Feten Slimeni, A. Amor

{"title":"Metrological map of a fleet of equipment a metrology laboratory: application of weight method according to FDX-07-014","authors":"N. Fezai, A. Jouini, Feten Slimeni, A. Amor","doi":"10.1109/IC_ASET53395.2022.9765894","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765894","url":null,"abstract":"Metrology is the science of measurement. It is applied in several fields where quantitative measurements are made. In fact, in any industrial activity (food processing, electrical energy, chemistry, mechanics, aeronautics, space, defense, agriculture, electronics) various measuring instruments are used. After a certain period of operation, their indications will be erroneous, which leads to major risks for the safety of people and industrial installations. Thus all equipment drifts over time, it is a well known phenomenon. A measuring instrument that is \"accurate\" today will not be so tomorrow because it will have drifted! The causes of drift are multiple and varied (mechanical origin: shocks and vibrations, oxidation, wear, conditions of use, aging...). This calibration interval or drift is determined either by the manufacturer or by the needs of the company or the laboratory. Historically, the periodicity is 12 months in metrology for all the instruments, this drift allows to have a management of periodicity of the equipments but sometimes the calibration will be with a high cost. Therefore, to avoid costly periodic calibrations, methods have been created to adjust and optimize calibration costs according to the criticality and use of the measuring instrument. The optimization and justification of periodicity are increasingly crucial problems over time, they are now the subject of strict guides defining the methods of calculating periodicity such as the method of max drift, the method of weight and the method OPPERET. In this paper, we will demonstrate the adequate method for a special laboratory that has a limited number of equipments according to the ISO/CEI 17025 version 2017.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"10 1","pages":"336-339"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79074108","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

Double Outputs Resonant-based Wireless Charger for Electric Vehicle and Robotic Applications 用于电动汽车和机器人的双输出谐振无线充电器

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765934

Abdoulaye Bodian, A. Cárdenas, A. B. Ben Abdelghani

引用次数: 0

Scalable Implementation of Array of 8-bit-Based RSA With Large Key Size 具有大密钥大小的8位RSA数组的可扩展实现

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765873

Mohamed Boussif

{"title":"Scalable Implementation of Array of 8-bit-Based RSA With Large Key Size","authors":"Mohamed Boussif","doi":"10.1109/IC_ASET53395.2022.9765873","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765873","url":null,"abstract":"Since 1977, many cryptographic attacks have been applied to RSA (Rivest Shamir Adleman). Researchers have proposed security solutions against these attacks, such as padding into the data to be encrypted and using keys of significant length from 1024 bits to 4096 bits. Therefore, to implement RSA., we need an arithmetic unit working with a big integer like in Python and Maple. The maximal length of almost programming platforms doesn't exceed 64 bits. This article presents a scalable algorithm of the RSA cryptosystem with a large key size based on arrays of 8 bits. Therefore, keys, message to be encrypted, and encrypted data are arrays. Each array case is of type unsigned integer 8 bit. However, it codes only 7 bits; the 8th bit is used for the carrying of an arithmetic operation. The proposed arithmetic unit allows subtraction, division, and multiplication of large numbers, and it is scalable with all platforms like C/C++, Java, and PHP. The proposed algorithm is implemented on MATLAB environment. Simulation tests are verified with Python, where we find that the proposed implementation generates RSA keys, encrypts, and decrypts data with 0% failure.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"120 1","pages":"375-380"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80709210","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

Glioma segmentation based on deep CNN 基于深度CNN的神经胶质瘤分割

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765885

Wadhah Ayadi, W. Elhamzi, M. Atri

{"title":"Glioma segmentation based on deep CNN","authors":"Wadhah Ayadi, W. Elhamzi, M. Atri","doi":"10.1109/IC_ASET53395.2022.9765885","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765885","url":null,"abstract":"Brain tumor segmentation represents a hard job for radiologists as the brain is the most complicated and complex organ. Among the several brain tumors that existed, gliomas are the most aggressive and common. They lead to a short life in their highest grade especially. It is usually the most found tumors, which have various shapes, sizes, and brightness. It can appear anywhere in the brain. These causes make the automatic brain tumor segmentation a challenging problem. In this area, different Deep Learning (DL) models are suggested to help doctors. In this work, a new deep Convolutional Neural Network (CNN) architecture is presented to surpass these drawbacks. Our contributions incorporate three aspects. First, we exploited a pre-processing step based on intensity normalization with the goal to enhance the quality of the images. Second, we suggested an automatic segmentation model using CNN. The new scheme contains various convolutional layers, all exploiting 3 × 3 kernels, and one fully connected layer. Finally, we exploit a post-processing approach with the goal to ameliorate the segmentation results of the suggested model. We have evaluated the proposed technique based on the Multimodal Brain Tumor Image Segmentation Challenge datasets (BRATS 2017). The gained results provide the effectiveness of the suggested model compared with several techniques.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"187 1","pages":"285-289"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72737430","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